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Inhibition of stromal biglycan promotes normalization of the tumor microenvironment and enhances chemotherapeutic efficacy

Breast Cancer Research volume 23, Article number: 51 (2021) Cite this article

Abstract

Background

Biglycan is a proteoglycan found in the extracellular matrix. We have previously shown that biglycan is secreted from tumor endothelial cells and induces tumor angiogenesis and metastasis. However, the function of stroma biglycan in breast cancer is still unclear.

Methods

Biglycan gene analysis and its prognostic values in human breast cancers were based on TCGA data. E0771 breast cancer cells were injected into WT and Bgn KO mice, respectively.

Results

Breast cancer patients with high biglycan expression had worse distant metastasis-free survival. Furthermore, biglycan expression was higher in the tumor stromal compartment compared to the epithelial compartment. Knockout of biglycan in the stroma (Bgn KO) in E0771 tumor-bearing mice inhibited metastasis to the lung. Bgn KO also impaired tumor angiogenesis and normalized tumor vasculature by repressing tumor necrosis factor-ɑ/angiopoietin 2 signaling. Moreover, fibrosis was suppressed and CD8+ T cell infiltration was increased in tumor-bearing Bgn KO mice. Furthermore, chemotherapy drug delivery and efficacy were improved in vivo in Bgn KO mice.

Conclusion

Our results suggest that targeting stromal biglycan may yield a potent and superior anticancer effect in breast cancer.

Background

Tumor vasculature is structurally abnormal relative to normal vasculature and is characterized by highly permeable and leaky blood vessels [1]. The abnormality of tumor vasculature impairs blood perfusion and oxygenation, resulting in hypoxia and acidosis, and thus promoting tumor growth and progression. Furthermore, the leakiness of tumor blood vessels results in spontaneous hemorrhages and elevated interstitial fluid pressure (IFP) [2]. Hypoperfusion, hypoxia, and high IFP impede the functions of immune cells in tumors, in addition to impeding the transport of therapeutic agents [3]. As a result, abnormal tumor vasculature can promote drug resistance and hinder anticancer activity.

Antiangiogenic therapy has been considered as a promising treatment strategy for breast cancer [4]. Bevacizumab, a neutralizing antibody against vascular endothelial growth factor (VEGF), mediates antitumor effects by blocking tumor blood supply [5]. Furthermore, increased pericyte recruitment and vessel functions using bevacizumab has been shown in breast cancer patients [6, 7]. Bevacizumab received FDA approval for metastatic breast cancer in 2008. However, other trials found no significant effect on prolonging progression-free survival using Bevacizumab resulting in withdrawal of FDA approval [8, 9]. Thus, alternative strategies to modulate abnormal tumor vasculature in breast cancer are still needed.

Tumor endothelial cells (TECs) differ from normal endothelial cells (NECs) in several aspects, such as gene expression profiles [10], proangiogenic properties [11], sensitivity to drugs [12], and responses to growth factors [13]. Furthermore, TECs are cytogenetically abnormal [14]. By comparing the gene expression profiles of TECs and NECs, we have previously shown that biglycan gene expression levels are significantly elevated in isolated TECs [15].

Biglycan is a small leucine-rich proteoglycan (SLRP), consisting of a 42-kDa core protein and chondroitin sulfate/dermatan sulfate side chains [16]. Biglycan is involved in the migration of lung fibroblasts, the inflammatory response in renal macrophages, and abnormal collagen fibril morphology in bones [17,18,19]. Under physiological conditions, biglycan is sequestered in the extracellular matrix (ECM). Biglycan is proteolytically cleaved from the ECM upon tissue stress or injury in a soluble form, thereby acting as a damage-associated molecular pattern (DAMP) protein [20]. Biglycan secreted from TECs can also induce proangiogenic effects in an autocrine manner [15] and has been shown to promote tumor cell intravasation and metastasis through the NF-κB and ERK signaling pathways [21].

Biglycan has also been detected in several types of human cancers cells, such as endometrial cancer, bladder cancer, and pancreatic adenocarcinoma [22,23,24]. Functionally, biglycan expressed in cancer cells is involved in tumor growth and progression, depending on tumor type. However, the role of biglycan in tumor stroma has not been clarified. In the present study, we focused on the functional role of stromal biglycan in breast cancer microenvironment using biglycan knockout (Bgn KO) mice. Additionally, we investigated the therapeutic efficacy of targeting stromal biglycan combined with conventional chemotherapy in breast cancer.

Materials and methods

Bioinformatic analysis

We compared biglycan mRNA levels of human breast cancers, normal mammary gland, and tumor stromal and epithelial parts using Oncomine (https://www.oncomine.com/). The prognostic significances of biglycan mRNA and protein levels in human breast cancers were evaluated using the Kaplan-Meier plotter (http://kmplot.com/analysis/). Co-expression of biglycan and angiogenesis-related genes was determined using the cBioPortal database (https://www.cbioportal.org/).

Cell lines and culture conditions

MS1 cells (mouse immortalized islet-derived normal endothelial cells) were obtained from American Type Culture Collection (Manassas, VA). MS1 cells were cultured in Dulbecco’s minimum essential medium (DMEM, Sigma-Aldrich, St. Louis, MO, USA) supplemented with 10% heat-inactivated fetal bovine serum (FBS) and 1% penicillin/streptomycin antibiotics (Sigma-Aldrich). E0771 cells were purchased from CH3 BioSystems and cultured in RPMI 1640 medium (Sigma-Aldrich) supplemented with 10 mM HEPES and 10% FBS. RAW264.7 cells were obtained from DS Pharma Biomedical and cultured in DMEM with 10% FBS. Dermal endothelial cells from C57BL/6 mice were purchased from Cell Biologics and cultured in EGM-2MV medium (Lonza, Basel, Switzerland). NIH3T3 cells from ATCC were cultured in DMEM with 10% FBS. All cells were cultured at 37 °C in a humidified atmosphere containing 5% CO2. The absence of Mycoplasma pulmonis was verified by polymerase chain reaction (PCR).

Mouse tumor xenograft model and drug administration

All animal experiments were approved by the animal research authorities of Hokkaido University. Wild type (WT) C57BL/6 mice (female, 7–8 weeks old, 17–20 g) were purchased from CLEA Japan (Tokyo, Japan). Bgn KO C57BL/6 mice (female, 7–9 weeks old, 18–20 g) were used in this study. Bgn KO C57BL/6 mice were established by Marian F. Young (National Institutes of Health, USA) [25]. Briefly, Bgn-deficient mice were originally generated by using homologous recombination in embryonic stem cells. Biglycan was disrupted by inserting the PGK-neo cassette from the pPNT vector into exon 2 at the Tth111I site. The genotype of Bgn KO mice was determined by a PCR-based assay using the combination of a primer containing the PGK promoter sequences (5′-tggatgtggaatgtgtgcgagg-3′) of the targeted allele along with a forward primer corresponding to the 5′-end of exon 2 (5′-caggaacattgaccatg-3′) and a reverse primer corresponding to the 3′-end of exon 2 (5′-gaaaggacacatggcactgaag-3′). Biglycan was disrupted throughout the whole cells of the body. E0771 cells were transfected with lentiviral vectors encoding the tdTomato and luciferase genes as previously described [21]. tdTomato/luc2-expressing E0771 cells (1 × 106 cells) suspended in an equal volume of Hank’s balanced salt solution (HBSS) and Matrigel (Corning, 356231) were orthotopically implanted into the left fourth mammary gland of WT and Bgn KO mice (5 mice per group). Tumor volumes were measured with a caliper every 3 or 4 days and calculated using the formula: volume (V) = largest dimension × smallest dimension2 × 0.5. For histological analysis of tumors, mice were sacrificed 24 days after implantation. Lungs were analyzed for tumor metastasis by ex vivo bioluminescence imaging using the IVIS Spectrum system (Caliper Life Science). To evaluate the effect of Bgn KO on chemotherapy, mice were randomly assigned to 4 groups (4 or 5 mice per group) after tumor formation (7 days after tumor cell inoculation), and treated with paclitaxel (Taxol, EnZo, BML0T104) (2 mg/kg) or DMSO as a control via intraperitoneal (i.p.) injection every 3 days, for a total of 6 injections. After 22 days, mice were sacrificed via cervical dislocation after isoflurane anesthesia. Tumor tissues, lungs, and left inguinal lymph nodes were dissected. The IVIS imaging system was used to detect metastasis in lungs and lymph nodes.

Isolation of TECs

TECs derived from E0771 tumors were isolated as previously described, with some modifications [14]. Briefly, E0771 tumors grown in C57BL/6 mice (n = 10) were minced. TECs were sorted using a magnetic cell sorting system (Miltenyi Biotec, Tokyo, Japan) with anti-mouse CD31 microbeads according to the manufacturer’s instructions. To improve the purity of TECs, CD45−/CD31+ cells were sorted using a FACS Aria II (BD Biosciences). Isolated cells were maintained in EGM-2MV medium (Lonza, Basel, Switzerland) with 15% FBS. All purified ECs were cultured in EGM-2MV and were used between passages 12 and 20.

Histological analysis

Tumor tissues were dissected from mice and processed for embedding in paraffin or in OCT compound. Paraffin sections (4 μm) were stained with anti-mouse CD31 antibody (Abcam, ab28364) and counterstained with hematoxylin. Frozen tissue samples were cut into 10-μm sections using a cryostat (Leica CM3050S, Leica Biosystems, Wetxlar, Germany). Sections were fixed in 100% ice-cold acetone for 30 min and permeabilized with 0.1% Triton in PBS at room temperature (RT) for 15 min. Sections were then blocked in PBS containing 5% bovine serum albumin (BSA) or 5% goat serum and 0.05% Triton X-100. Frozen tumor tissues were double stained using Alexa Fluor 647-conjugated anti-mouse CD31 antibody (Biolegend, 102416) and anti-biglycan (Kerafast, LF-159) antibodies to determine the co-localization of CD31 and biglycan in ECs. Pericyte-covered tumor blood vessels in frozen sections were visualized by the co-staining of rat anti-mouse CD31 (BD Pharmingen, 553370) and rabbit anti-mouse α-SMA (Abcam, ab5694) followed by Alexa Fluor 647-conjugated goat anti-rat IgG (Biolegend, 405416) and Alexa Fluor 488-conjugated goat anti-rabbit IgG (Invitrogen, 11034) for 2 h at room temperature. To detect hypoxia in tumors, frozen sections were stained with an anti-glucose transporter Glut1 antibody (Abcam, ab115730) followed by Alexa Fluor 647-conjugated goat anti-rabbit secondary antibody (Invitrogen, 21244). CD8+ T cells in frozen sections were stained by rat anti-mouse CD8a (Biolegend, 100702) followed by Alexa Fluor 647-conjugated goat anti-rat IgG (Biolegend, 405416). Frozen sections were counterstained with 4,6-diamidino-2-phenylindole (DAPI; Dojin), and images were obtained using a BZ-X810 microscope equipped with BZ-X800 Analyzer software (Keyence Corporation, Itasca, IL, USA). The area of CD31+ or Glut1+ staining was quantified using ImageJ software (NIH), and the percentage of CD31+ or Glut1+ area was calculated as a percentage of the positive area to the total area. The area of pericyte-covered tumor blood vessels was calculated by the ratio of the number of blood vessels co-stained with α-SMA and CD31 to the total number of CD31-positive blood vessels. Collagen accumulation was evaluated by Picro Sirius Red Stain Kit (Abcam, ab150681). Five fields per tumor were quantified and values were averaged to obtain one value for each tumor. Each group consisted of 4 or 5 mice.

Assessment of perfused blood vessels

Doxorubicin (15 mg/kg, Sigma) was injected into the tail vein of E0771 tumor-bearing mice. FITC-lectin (2 mg/kg, Vector Laboratories) was intravenously injected via tail vein 4 h after doxorubicin injection. Tumors were extracted 5 min after injection and frozen in blocks. These frozen sections were stained with Alexa Fluor 488-conjugated anti-mouse CD31 antibody (Biolegend, 12514) or Alexa Fluor 647-conjugated anti-mouse CD31 antibody (Biolegend, 102416). The area of lectin- or doxorubicin-positive staining was determined using ImageJ software.

RNA isolation, reverse transcription PCR, and quantitative real-time PCR

RNA from cells and tissues was isolated using the ReliaPrep RNA tissues miniprep system (Promega) and the RNeasy Micro kit (Qiagen), respectively. cDNA, reverse transcription, PCR, and quantitative real-time PCR were performed as previously described [26]. The primers used in this study are listed in Supplementary Table S1.

ELISA

Biglycan concentration in mouse plasma was determined using an ELISA kit for mouse biglycan (Cloud-clone Corp. SEJ226Mu). TNF-ɑ concentration in mouse plasma was determined using a Mouse TNF-ɑ Quantikine ELISA kit (R&D systems, MTA00B) according to the manufacturer’s instructions. Absorbance was detected using a microplate reader (Promega GloMax Multi Detection System, Promega) at 450 nm.

Stimulation of cells with recombinant protein

E0771 cells were cultured in serum-free medium for 24 h before treatment with 5 μg/ml recombinant biglycan (Genway, GWB-ATG116) in serum-free RPMI medium. After incubation for 6 h with recombinant biglycan protein, RNA was isolated. E0771 cells were pretreated with anti-TLR2 (1 μg/ml, Biolegend, #246294) or TLR4 (10 μg/ml, Biolegend, #117608) antibody for 2 h. E0771 cells were then treated with serum-free RPMI media containing 5 μg/ml biglycan for 6 h before RNA was extracted. E0771 cell were pretreated with NF-κB inhibitor BAY11-7082 (10 μM, Calbiochem) or MEK inhibitor U1026 (20 μM, CST) for 1 h. E0771 cells were then treated with serum-free RPMI media containing 5 g/ml biglycan for 6 h before RNA was extracted. MS1 cells were kept in serum-free medium for 24 h before treatment with 1 g/ml TNF-ɑ (Peprotech, 300-01A) in serum-free DMEM medium. After incubation for 6 h with recombinant biglycan protein, RNA was isolated. NIH3T3 cells were cultured in serum-free DMEM for 24 h before treatment with 5 μg/ml recombinant biglycan in serum-free DMEM medium. After incubation for 6 h with recombinant biglycan protein, RNA was isolated.

Biglycan knockdown using siRNA

Biglycan siRNA (5′-UAGAGGUGCUGGAGGCCUUUFAAGU-3′, 5′ -ACUUCAAAGGCCUCCAGCACCUCUA-3′) was transfected into E0771-TECs using Lipofectamine RNAi MAX Transfection Reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s instructions. Control siRNA (Invitrogen, Carlsbad, CA, USA) was used as a negative control. Knockdown efficiency was confirmed by quantitative real-time PCR.

Cell preparation and flow cytometry

E0771 cells were stained with PE-conjugated anti-mouse CD284 (Biolegend, 117605) and Alexa Fluor 488-conjugated anti-mouse CD282 (Biolegend, 121807). To analyze CD8+ T cell infiltration in tumor tissues, E0771 tumors from WT and Bgn KO mice were dissected and digested with collagenase II and DNase I. Single-cell suspensions were stained with FITC-conjugated anti-CD45 antibody (Biolegend, 103115) and APC-conjugated anti-CD8a antibody (Biolegend, 100711). CD45 + CD8+ T cells were analyzed using a FACS Aria II. Data was analyzed using FlowJo V10 software (Tree Star Inc.).

Statistical analysis

All data are expressed as means ± standard deviation (SD) of three independent experiments performed in triplicate. Two-sided Student’s t test followed by Wilcoxon rank test was used for comparison between two groups. Comparisons between multiple groups were made using one-way ANOVA, followed by a Tukey-Kramer test. One-way ANOVA and T tests were analyzed using IBM SPSS software. p values < 0.05 were considered significant.

Results

Biglycan is highly expressed in tumor stroma, associated with prognosis and angiogenesis-related genes in human breast cancer patients

We first evaluated the expression levels of biglycan in normal mammary glands and in human breast cancer tissues using the Oncomine database (https://www.oncomine.com/). Biglycan was found to be upregulated in human breast cancers compared to normal mammary glands (Fig. 1a). Furthermore, biglycan expression was higher in the tumor stroma compartment compared to the tumor epithelial compartment of human breast cancers (Fig. 1b). The relationship between biglycan expression and prognosis of breast cancer patients was investigated using Kaplan-Meier Plotter database (http://kmplot.com/analysis/). Higher mRNA and protein expression of biglycan correlated with worse distant metastasis-free survival of breast cancer patients (Fig. 1c, d). These results suggested that biglycan is indeed upregulated in breast cancer, especially in tumor stroma, and its expression is negatively associated with the survival of breast cancer patients. Biglycan has been reported to be involved in cell migration and tube formation of ECs [15]. To determine the effect of biglycan on angiogenesis in human cancers, we analyzed the correlation between biglycan and angiogenesis-related gene expression in human breast cancers using the cBioPortal database (https://www.cbioportal.org/). Platelet endothelial cell adhesion molecule (PECAM)-1 has been shown to facilitate the interaction of endothelial cells and play a role in angiogenesis. Angiopoietin 2 (ANGPT2) destabilizes blood vessels by inducing detachment of pericytes from the endothelial cells. Pearson’s correlation coefficients showed that Biglycan mRNA expression was positively correlated with both PECAM1(Spearman’s correlation = 0.45) and ANGPT2 (Spearman’s correlation = 0.4) levels in human breast cancers (Fig. 1e, f). Taken together, these results suggest that biglycan may be involved in tumor angiogenesis and destabilization of tumor blood vessels in human breast cancers.

Fig. 1
figure 1

Biglycan is highly expressed in tumor stroma, associated with angiogenesis gene expression and prognosis of human breast cancer patients. a Comparison of biglycan mRNA expression was analyzed in normal mammary glands (n = 61) and breast cancer tissue (n = 389) using Oncomine. b Comparison of biglycan mRNA expression was analyzed in 14 patient-matched tumor epithelium and tumor-associated stroma specimens using Oncomine. c Kaplan-Meier analysis was used to assess breast cancer patients with high or low biglycan mRNA expression in distant metastasis-free survival (DMFS) using a Kaplan-Meier plotter tool. d Kaplan-Meier analysis was used to assess breast cancer patients with high or low biglycan protein expression in DMFS using a Kaplan-Meier plotter tool. e Correlation between BGN and PECAM1 expression using cBioPortal database. f Correlation between BGN and ANGPT2 expression using cBioPortal database

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Lung metastasis was decreased in Bgn KO mice

To investigate how stromal biglycan affects tumor growth in vivo, we orthotopically implanted murine E0771 breast carcinoma cells into the mammary fat pads of WT and Bgn KO female mice. Bgn deficiency resulted in no significant toxic effects in mice, except for a reduced growth rate and decreased bone mass [25, 27]. No significant differences were seen in primary E0771 tumor growth and tumor weight between the WT and Bgn KO (Fig. 2a, b). Different concentrations of recombinant biglycan also had no significant effect on proliferation of E0771 cells in vitro (Supplementary Fig. 1). However, Bgn KO mice showed reduced lung metastasis by IVIS (Fig. 2c). As E0771 cells had low expression of biglycan in vitro (Supplementary Fig. 2a), these results suggested that stroma biglycan is involved in lung metastasis but not in tumor growth, consistent with our previous report showing induction of metastasis by biglycan-secreting TECs [21].

Fig. 2
figure 2

Stromal biglycan inhibition suppresses lung metastasis, by normalizing tumor vasculature in breast cancer. a Growth curves of E0771 tumor growth in WT and Bgn KO mice measured every 4 days. b Comparison of E0771 tumor weight at day 24 after inoculation. c Representative IVIS images and quantitative analysis of metastatic lungs in E0771 tumors of WT versus Bgn KO mice. d Bgn mRNA expression in E0771 tumor tissues of WT and Bgn KO mic analyzed by quantitative real-time RT-PCR. e Biglycan concentration in mouse plasma from non-tumor WT mice, E0771 tumor-bearing WT mice, and E0771 tumor-bearing Bgn KO mice detected by ELISA. f Immunofluorescent images of biglycan (green) expression in CD31+ blood vessels (red) in E0771 tumors grown in WT mice. DAPI, blue. Scale bar = 20 μm. g Bgn mRNA expression in FACS isolated CD31− cells, CD45− CD31+ cells (E0771-TECs), and dermal ECs from naïve mice by quantitative real-time RT-PCR. h Representative images of CD31+ blood vessels in E0771 tumors from WT and Bgn KO mice. Scale bar = 100 μm. i Quantification of blood vessel density. j Representative images of CD31 immunostaining (red), ɑ-SMA (green), and DAPI nuclear staining (blue) in E0771 tumors from WT and Bgn KO mice. Scale bar = 100 μm. k Quantification of ɑ-SMA+ CD31+ tumor blood vessels. The rate of microvessel pericyte coverage was analyzed by counting the vessels that stained positive for both CD31 and α-SMA (white arrowheads) among CD31-positive vessels. l Representative images of CD31 immunostaining (red), FITC-lectin (green), and DAPI (blue) in E0771 tumors from WT and Bgn KO mice. Scale bar = 100 μm. m Quantification of lectin+ blood vessels. The rate of lectin+ blood vessels was analyzed by counting the vessels that stained positive for both CD31 and lectin (white arrowheads) among CD31-positive vessels. n Representative images of CD31 immunostaining (green), Glut1 (red), and DAPI (blue) in E0771 tumors from WT and Bgn KO mice. Scale bar = 100 μm. o Quantification of Glut1+ area. *p < 0.05, ***p < 0.001. Significance in b, d, i, k, m, and o were determined by a two-tailed Student’s t test. Significance in g was determined by a one-way ANOVA. All data represent means ± SD

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We then investigated biglycan expression in the mouse E0771 tumor model. As expected, Bgn KO mice showed markedly reduced levels of biglycan mRNA expression in tumor tissues compared to WT mice (Fig. 2d). As biglycan is secreted in a soluble form during inflammation [17], we analyzed biglycan concentrations in the plasma of mice. Biglycan concentration was highest in tumor-bearing WT mice compared to non-tumor WT mice and tumor-bearing Bgn KO mice (Fig. 2e). Biglycan and CD31 were co-localized by immunofluorescence staining using CD31 and biglycan antibodies (Fig. 2f). Furthermore, to confirm the expression of biglycan in TECs, we isolated TECs from E0771 tumors in WT mice and characterized them as described previously [15]. TECs were shown to be negative for the monocyte markers CD11b and CD45, and positive for EC markers CD31, CD144, and CD105 by RT-PCR (Supplementary Fig. 2b). TECs were positive for EC markers CD31, CD105, and lectin, and negative for the hematopoietic marker CD45 by flow cytometry analysis (Supplementary Fig. 2c). These results indicate that isolated cells were highly purified ECs. We analyzed Bgn expression in TECs isolated from E0771 tumors (E0771-TECs), isolated CD31-negative cells including tumor cells, fibroblasts, and immune cells, and commercially available dermal ECs from normal mice (NECs) by real-time PCR. Bgn mRNA expression was significantly higher in E0771-TECs compared to CD31-negative cells and dermal ECs (Fig. 2g), indicating that TECs were a source of biglycan in E0771 tumor.

Tumor angiogenesis was impaired and tumor blood vessels were normalized in Bgn KO mice

To determine the contribution of biglycan to angiogenesis, we first analyzed CD31+ blood vessel density in normal mammary glands from WT and Bgn KO mice. No significant changes were observed in morphology and density of normal mammary gland blood vessels in Bgn KO and WT mice (Supplementary Fig. 3a, b). Next, we evaluated the microvessel density in E0771 tumors from WT and Bgn KO mice. The CD31+ tumor blood vessels were significantly decreased in Bgn KO mice as compared to the WT (Fig. 2h, i). Additionally, the percentage of α-SMA+ pericyte-covered blood vessels was significantly higher in Bgn KO mice, which indicated that more mature blood vessels existed in tumors from Bgn KO mice compared to WT mice (Fig. 2j, k). These data suggested that tumor blood vessels in Bgn KO mice are structurally normalized.

Since blood vessel normalization can also enhance blood flow within vessels, we further assessed the vascular function in E0771 tumors in WT and Bgn KO mice. First, by intravenous lectin injection, we identified an increase in lectin-positive (functional) vessels in E0771 tumors of Bgn KO mice as compared to those in the WT mice, implying that intratumoral blood perfusion was enhanced in Bgn KO mice (Fig. 2l, m). Tumor vascular normalization is also known to elicit enhanced tumor oxygenation [3]; thus, we analyzed tumor hypoxia by staining tumor tissues with a glucose transporter (Glut1) antibody (Fig. 2n, o). Glut1+ area was decreased in tumors of Bgn KO mice compared to WT mice. As hypoxic response is mainly ascribed to hypoxia-inducible factor-1 (HIF-1) α which is involved in the induction of Glut1 expression [28], we checked whether biglycan affects HIF1-α and Glut1 expression in tumor cells. We found that Hif1a and Slc2a1 expression elevation in E0771 cells by stimulation with recombinant biglycan (Supplementary Fig. 4 a, b), which indicated that biglycan might mediate HIF1-α and Glut1 expression in tumor cells. Together, these data suggested that alleviating tumor hypoxia by biglycan knockout might be due to enhancement of vascular normalization and mediation of HIF1-α and Glut1 expression in tumor cells.

Angpt2 expression was decreased in E0771 tumors from Bgn KO mice

Vascular normalization is regulated by several molecules, such as ANG-TIE, PDGFB, and NG2 [29]. BGN was positively correlated with ANGPT2 expression in human breast cancers (Fig. 1f). We next confirmed that Angpt2 mRNA expression was decreased in tumor tissues from Bgn KO mice (Fig. 3a). To determine whether biglycan has any direct effect on Angpt2 expression, we stimulated MS1 cells (immortalized normal ECs) with recombinant biglycan after confirming the expression of the biglycan receptors, Toll-like receptors (TLRs) 2 and 4 in the MS1 cells (Fig. 3b). There was no significant difference in Angpt2 expression between biglycan-treated and non-treated cells (Fig. 3c). Furthermore, biglycan knockdown in E0771-TECs (Fig. 3d) did not alter Angpt2 mRNA expression in the cells. (Fig. 3e). Therefore, we speculated that biglycan may not regulate Angpt2 expression in ECs directly via its receptors, but rather by other indirect mechanisms. We further analyzed the molecular relationship between biglycan and ANGPT2 by Ingenuity Pathway Analysis (IPA, Tomy Digital Biology), and found that TNF was known to mediate this interaction (Fig. 3f). We therefore hypothesized that ANGPT2 might be regulated by biglycan/TNF-α signaling, leading to the destabilization of tumor blood vessels.

Fig. 3
figure 3

TNF-ɑ-enhanced Angpt2 expression is controlled by biglycan in E0771 tumors. a Angpt2 mRNA expression in E0771 tumor tissues of WT and Bgn KO mice by quantitative real-time PCR. b TLR2 and TLR4 expression in MS1 cells analyzed by FACS analysis. Blue: antibody. Black: isotype. c Angpt2 mRNA expression in MS1 cells treated with recombinant biglycan (5 g/ml) by quantitative real-time RT-PCR. d Bgn mRNA expression in E0771-TECs transfected with Bgn siRNA by quantitative real-time PCR. e Angpt2 mRNA expression in E0771-TECs transfected with Bgn siRNA by quantitative real-time PCR. f Flowchart of biglycan, TNF-ɑ, and Angpt2 signaling by IPA analysis. g Tnf mRNA expression by quantitative RT-PCR in E0771 tumor tissues from WT and Bgn KO mice. h TNF-ɑ secretion in the plasma of E0771 tumor-bearing mice was detected by ELISA. Each dot represents one mouse. i TLR2 and TLR4 expression in E0771 cells analyzed by flow cytometry. Blue: isotype. Black: antibody. j Tnf mRNA expression in E0771 cells treated with recombinant biglycan (5 μg/ml). k, l After blocking of TLR2 or (k) TLR4 (l), E0771 cells were stimulated by recombinant biglycan (5 μg/ml). Tnf mRNA expression was analyzed by quantitative RT-PCR. m, n After treating with (m) the NF-κB inhibitor (10 μM) or (n) the MEK inhibitor (20 μM), E0771 cells were stimulated by recombinant biglycan (5 μg/ml). Tnf mRNA expression was analyzed by quantitative real-time RT-PCR. o Angpt2 mRNA expression in MS1 cells treated with recombinant TNF-ɑ (10 ng/ml) by quantitative RT-PCR. *p < 0.05, **p < 0.01, ***p < 0.001. NS, not significant. Significance was determined in a, c, g, j, and o by two-tailed Student’s t test, and in d, e, k, l, m, and n by a one-way ANOVA. All data represent means ± SD

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TNF-ɑ-enhanced Angpt2 expression is controlled by biglycan through activation of NF-κB and ERK via TLR2/4

We compared Tnf mRNA expression and TNF-ɑ secretion in E0771 tumor-bearing WT and Bgn KO mice. Bgn KO mice showed significantly reduced Tnf mRNA expression in E0771 breast cancer tissues and TNF-ɑ secretion in plasma from tumor-bearing mice (Fig. 3g, h). As soluble biglycan can bind to TLRs 2 and 4 on macrophages and activate mitogen-activated protein kinase (MAPK) p38, extracellular signal-regulated kinase (ERK), and nuclear factor-κB (NF-κB) signaling pathways [30], we confirmed that E0771 cells expressed TLR2 and TLR4 by flow cytometry analysis (Fig. 3i). We proceeded to investigate the paracrine effects of biglycan on TNF-ɑ expression in E0771 cells (Fig. 3j) and RAW macrophages (Supplementary Fig. 4a) stimulated with recombinant biglycan. Tnf mRNA expression was significantly increased in biglycan-stimulated cells as compared to non-treated control cells (Fig. 3j). Blockage of the Bgn-TLR2 or Bgn-TLR4 interaction in E0771 cells by neutralizing antibodies significantly decreased Tnf mRNA expression in E0771 cells stimulated with recombinant biglycan (Fig. 3k, l), suggesting that biglycan regulates TNF-ɑ expression in tumor cells through binding to TLR2 and TLR4. To elucidate the downstream mediators of Tnf induction, E0771 cells were first pretreated with the NF-κB inhibitor BAY11-7082 or the ERK inhibitor U1026, and then stimulated with recombinant biglycan. NF-κB or ERK blockade decreased Tnf mRNA expression (Fig. 3m, n), indicating that biglycan may regulate TNF-ɑ expression through NF-κB and ERK signaling pathways.

Furthermore, we analyzed the effect of biglycan on TNF-ɑ expression in ECs. The Tnf mRNA expression level in MS1 cells was not changed significantly after stimulation with recombinant biglycan (Supplementary Fig. 4b). In addition, Tnf expression showed no difference between biglycan knockdown E0771-TECs and controls (Supplementary Fig. 4c), implying that biglycan has no autocrine effect on TNF-ɑ expression. In order to confirm that TNF-α can indeed induce Angpt2 expression in ECs, we confirmed the presence of TNFR1 and TNFR2 expression in ECs (Supplementary Fig. 5) and stimulated MS1 cells with TNF-α. This led to increased levels of Angpt2 mRNA in MS1 cells (Fig. 3o), consistent with previous reports. These data indicated that biglycan may regulate Angpt2 expression via enhanced levels of TNF-α indirectly in a paracrine manner.

Biglycan inhibition suppresses tumor fibrosis

Biglycan has been shown to interact with collagen I and functions in organization of the assembly of the extracellular matrix [31]. Furthermore, as a DAMP, biglycan potentiates renal inflammation and fibrotic renal disorders [32]. Thus, we assessed collagen deposition by picrosirius red staining in E0771 tumors. We found that collagen accumulation was reduced in tumors from Bgn KO mice compared to those in WT mice (Fig. 4a, b). Col1a1 mRNA expression was also decreased in tumor tissues from Bgn KO mice (Fig. 4c). These findings indicate that biglycan knockout suppressed tumor fibrosis. As activated cancer-associated fibroblasts (CAFs) in tumor stroma is involved in tumor fibrosis and activated CAFs can be identified by their expression of α-SMA [33], α-SMA+ fibroblast (excluded pericytes) assessment by staining was analyzed in biglycan KO mice. α-SMA+ fibroblasts were significantly decreased in Bgn KO mice as compared to the WT mice (Fig. 4d, e). We also analyzed the effect of biglycan on α-SMA expression in fibroblasts and found that α-SMA mRNA expression was upregulated in NIH3T3 cells by biglycan treatment (Fig. 4f). These results indicate that biglycan may activate fibroblasts via upregulating α-SMA expression.

Fig. 4
figure 4

Biglycan inhibition reduces stromal fibrosis and normalizes immune suppressive microenvironment. a Representative images of picrosirius red staining for collagen in E0771 tumors from WT and Bgn KO mice. Scale bar = 100 μm. b Quantification of collagen accumulation. Data represent means ± SD. n = 5 fields, 5 mice per group. c Col1a1 mRNA expression in E0771 tumor tissues of WT and Bgn KO mice by quantitative RT-PCR. n = 4 RT-PCR replicates per mouse, 5 mice per group. d Representative images of α-SMA (green), CD31 immunostaining (red), and DAPI nuclear staining (blue) in E0771 tumors from WT and Bgn KO mice. Scale bar = 100 μm.e Quantification of α-SMA + fibroblasts. The area of α-SMA + fibroblasts was analyzed by excluding α-SMA + pericytes from CD31+ blood vessels. f α-SMA mRNA expression in NIH3T3 cells treated with recombinant biglycan by quantitative real-time RT-PCR. g Cd4, h Klrb1c, i Cd27, j Adgre1, and k Cd8 mRNA expression by quantitative RT-PCR in E0771 tumor tissues from WT and Bgn KO mice. NS, not significant. n = 4 RT-PCR replicates per mouse, 4–5 mice per group. l, m CD8 + CD45+ T cell analysis in E0771 tumors of WT and Bgn KO mice by flow cytometry. l Representative data and m the percentage of CD8 + CD45+ T cells/CD45+ T cells. n = 5 mice per group. n, o Representative images of CD8+ T cells in E0771 tumors from WT and Bgn KO mice. o in tumor center, Scale bar = 100 μm. p Quantification of CD8+ T cells in tumor center. *p < 0.05, **p < 0.01, ***p < 0.001. Significance was determined by two-tailed Student’s t test

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Stromal biglycan deficiency increases the recruitment of CD8+ T cells in breast cancer

The vascular normalization in tumor stroma is reported to increase the accessibility of immune cells to the tumors [34]. Furthermore, a fibrotic tumor microenvironment can suppress the immune response to cancer [35]. Therefore, we analyzed the mRNA expression of several immune cell markers (Cd4, Cd8, Klrb1c, CD27, and Adgre1) within the E0771 tumor tissues from WT and Bgn KO mice (Fig. 4g–k). We found that only Cd8a mRNA expression was significantly increased in Bgn KO mice (Fig. 4k), potentially indicating an accumulation of CD8+ T cells. We confirmed this hypothesis by FACS analysis, which demonstrated that the percentage of CD45 + CD8+ T cells was higher in Bgn KO mice compared to WT mice (Fig. 4l, m). The infiltration of CD8+ T cells in E0771 tumors was also analyzed by IHC. Quantification of CD8+ T cells by IHC showed a significant increase in Bgn KO mice, with lymphocytes distributed throughout the tumor (Fig. 4n–p). Together, these data indicate that CD8+ T cell distribution in tumor tissues may be improved by Bgn inhibition.

Biglycan inactivation enhances drug delivery and the antitumor effect of paclitaxel

Normalization of the tumor microenvironment could potentially improve drug delivery and efficiency of chemotherapy [36]. As tumor blood perfusion was improved and tumor fibrosis was inhibited in Bgn KO mice, we measured drug delivery and chemotherapeutic efficacy in E0771 tumors. Doxorubicin delivery was enhanced in Bgn KO mice (Fig. 5a, b). Additionally, the chemotherapeutic agent paclitaxel significantly suppressed E0771 tumor growth in Bgn KO mice (Fig. 5c). The number of lymph node metastases was decreased in paclitaxel-treated Bgn KO mice (1/5, 20%) as compared to paclitaxel-treated WT mice (2/5, 40%) (Fig. 5d). Paclitaxel treatment also increased the incidence of lung metastasis (2/5, 40%) in WT mice compared to Bgn KO mice (0/5) (Fig. 5e). These data suggested that loss of stromal biglycan enhanced chemotherapeutic efficacy in tumors via normalization of breast cancer microenvironment.

Fig. 5
figure 5

Biglycan deletion enhances drug delivery and antitumor effect of paclitaxel in breast cancer. a Representative images of CD31 immunostaining (green), doxorubicin (red), and DAPI nuclear staining (blue) in E0771 tumors from WT and Bgn KO mice. Scale bar = 100 μm. b Quantification of drug delivery. Significance was determined by two-tailed Student’s t test. n = 5 fields per mouse, 5 mice per group. c Growth curves of E0771 tumors grown in WT and Bgn KO mice. Mice were treated with DMSO or 2 mg/kg paclitaxel once every 3 days for a total of 6 treatments. Significance was determined by a one-way ANOVA. n = 4–5 mice per group. d, e Representative IVIS images of d metastatic lymph nodes and e lungs in E0771 tumors of DMSO- or paclitaxel-treated WT and Bgn KO mice as described in c. All data represent means ± SD. *p < 0.05, ***p < 0.001

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Discussion

Recently, the role of biglycan has been investigated in cancer cells. Biglycan has bidirectional roles modulating tumor growth and progression in different tumor types [37,38,39]. However, the roles of biglycan in breast cancer microenvironment remain unclear. In the current study, we found that stromal biglycan inhibition enhanced chemotherapeutic efficacy through normalization of not only the vascular but also the tumor microenvironment, resulting in increased oxygen perfusion and drug delivery (Fig. 6). To our knowledge, this is the first report demonstrating that stromal biglycan mediates destabilization of the tumor microenvironment, suggesting that biglycan can potentially serve as a therapeutic target in combination cancer therapies.

Fig. 6
figure 6

Schematic illustrating mechanisms of biglycan modulating tumor microenvironment. Inactivation of tumor stromal biglycan normalizes tumor vasculature via downregulation of Angpt2. Biglycan knockout in tumor stroma decreases tumor stiffness and increases the accumulation of CD8+ T cells. Thus, targeting stromal biglycan can facilitate drug delivery in tumors

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Tumor vascular normalization has been shown to enhance tumor oxygenation, reduce cancer progression, and decrease interstitial pressure in the tumor, which consequently enhances drug delivery [40]. Treatment with bevacizumab prunes some abnormal vessels and remodels the remaining vessels during the normalization window [41]. However, intrinsic and evasive drug resistance still develops, and the evaluation of the normalization window is still a challenge. There are no validated biomarkers for antiangiogenic agents to maintain normalization of tumor vasculature, and proper molecular diagnostic markers remain to be discovered [40]. In the current study, high expression of stromal biglycan associated with a worse outcome in human breast cancers, indicating that tumor stromal biglycan might play a role in cancer progression.

Biglycan has been reported to be expressed in the tumor microenvironment [15, 21, 42]. We previously showed that biglycan is highly expressed in TECs and facilitates cancer metastasis [15, 21]. In our study, biglycan was only expressed in tumor blood vessels of mouse breast cancers, and not in normal mammary gland tissue. Furthermore, co-expression analysis by cBioPortal showed that BGN was positively associated with PECAM1 and ANGPT2 expression in human breast cancers. Both PECAM1 and ANGPT2 genes are encoding the angiogenesis-related molecules, which means that BGN is involved in regulating angiogenesis. Also, since biglycan-deficient mice exhibited no embryonic lethality [25], targeting biglycan may not cause severe damage in normal tissue and is perhaps unlikely to cause adverse effects. These data indicated that stromal biglycan may be a clinically relevant therapeutic target in breast cancer.

We observed that biglycan-deficient tumor vessels showed normalized vasculature phenotypes, such as increased pericyte coverage and decreased vessel perfusion, leading to a less hypoxic environment and increased drug delivery. Also, biglycan depletion in stroma suppressed tumor fibrosis, consistent with a previous report [43]. Normalization of the tumor microenvironment has also been theorized to enhance drug delivery and the efficiency of chemotherapies [36]. Together, these results provide a rationale for the combination therapy of stromal biglycan blockade and the conventional chemotherapeutic agent, paclitaxel. Paclitaxel, widely used to treat breast cancer, both kills and activates tumor cells, thereby increasing chemoresistance and metastasis, which markedly limits its clinical application. Here we observed that paclitaxel had a significantly greater effect on tumor growth in biglycan knockout mice compared to WT mice. Therefore, targeting stromal biglycan may enhance the therapeutic potential of chemotherapeutic agents in treating cancers.

We then investigated how inactivation of stromal biglycan induced vascular normalization mechanistically. Pericytes embedded in the basement membrane of blood vessels are important regulators of angiogenesis and vascular stability [44]. Pericytes also promote maturation of blood vessels by stabilizing endothelial cells [45]. ANGPT2, which is largely secreted from activated ECs, is directly angiogenic, and binding of ANGPT2 to its receptor TIE2 on endothelial cells destabilizes vessels by leading to detachment of pericytes, thereby promoting vascular leakiness [46]. Targeting ANGPT2 signaling in tumor vasculature can restore vascular stability and decrease tumor growth and metastasis [47]. It has been shown that ANGPT2 is downstream of biglycan signaling in telomerase-immortalized microvascular endothelial cells [48]. Furthermore, BGN was positively associated with ANGPT2 expression in human breast cancers. We also demonstrated that Angpt2 mRNA is downregulated in stromal biglycan-deficient tumors. Our results suggest that biglycan destabilizes tumor blood vessels by mediating Angpt2 expression. However, biglycan itself indirectly induced Angpt 2 expression in endothelial cells; we propose that TNF-α stimulates tumor angiogenesis via suppression of vascular integrity and increased perfusion as a result of biglycan signaling. TNF-α is a major factor in inflammation and cancer progression [49]. Furthermore, TNF-α promotes angiogenesis in vivo [50] and remodels blood vessels during inflammation [51]. Targeting TNF-α increases mature blood vessels in rheumatoid arthritis synovium [52].

Biglycan acts as a DAMP, and here we provided evidence demonstrating that stromal biglycan promotes TNF-α expression in tumor cells through binding to TLR2 or TLR4, and subsequent activation of NF-κB and ERK signaling pathways. Consistent with previous reports [53], we also found that increased TNF-α expression led to upregulated Angpt2 mRNA in ECs. These results indicated that stromal biglycan enhances TNF-α expression in tumor cells and that TNF-α subsequently upregulates Angpt2 expression in ECs, thus destabilizing tumor blood vessels. Furthermore, expression of Mcr1, a M2-like macrophage-associated gene, was decreased in tumor-bearing Bgn KO mice (data not shown), which suggests that M2-like macrophages may be altered by stromal biglycan deficiency. M2-like macrophages play a critical role in promoting the formation of an abnormal tumor vascular network and subsequent tumor progression and invasion [54]. Targeting of M2-like macrophages may also potentially lead to the normalization of tumor vasculature [55]. Biglycan has been demonstrated to trigger the synthesis of the macrophage chemoattractants chemokine (C-C motif) ligand CCL2 and CCL5 [56]; thus, it may be possible that biglycan deficiency modulates tumor vasculature through recruitment of macrophages.

As a DAMP, biglycan induces inflammation and fibrogenesis [57]. Biglycan promotes clustering of TLR2/TLR4 with the purinergic P2X7 and P2X4 receptors, which activate NLRP3 [58]. The NLRP3 inflammasome triggers secretion of IL-1β and IL-18, which are involved in renal fibrogenesis [57, 59]. We also observed that biglycan depletion in stroma suppressed tumor fibrosis as well as downregulated collagen I expression. Furthermore, α-SMA + fibroblasts were fewer in biglycan depleted tumors. Biglycan may activate CAFs via upregulating α-SMA expression, thus enhancing fibrosis. Increasing ECM stiffness can enhance cancer progression and metastasis. Biglycan in fibroblasts promotes melanoma invasiveness via increased tissue stiffness, thereby inducing integrin-β1 expression [43], which is supported by our findings. The ECM in tumors can also impair the function of blood vessels via compression [60]. Targeting stromal biglycan reduced desmoplasia and overcame vascular compression. Furthermore, destabilizing tumor vasculature and increasing fibrosis can lead to tumor hypoxia [61]. We have found that biglycan increased HIF1-α and Glut1 expression in tumor cells. It has been reported that biglycan increased the interaction between NF-kB and the HIF-1a promoter, leading to enhanced promoter activity and increased HIF-1a mRNA levels in endothelial cells [39], which is consistent with our findings. HIF1-α is involved in the induction of Glut1 expression [28]. These data indicated that biglycan might be involved in tumor hypoxia response in tumor cells through upregulating HIF1-α and Glut1 expression. Alleviating hypoxia is highly beneficial for improving cancer treatment [61]. However, the detailed mechanisms by which biglycan mediates tumor desmoplasia and hypoxia remain unclear.

Triple negative breast cancer (TNBC) constitutes 15% of all breast cancers and is defined by the lack the expression of hormone receptors and HER2 [62]. Recently, TNBC has been approved to be treated with an immune checkpoint inhibitor (ICI) by the Food and Drug Administration [63]. Here, we provide evidence showing that targeting stromal biglycan alters the tumor microenvironment and enhances intratumoral infiltration of CD8+ T cells in a TNBC mouse model (E0771 breast cancer). However, further analysis is required to elucidate detailed mechanisms of the antitumor immune responses following targeting of biglycan. Furthermore, as biglycan activates the NF-κB signaling pathway, which is one transcriptional activator of PD-L1 [64], we speculate that biglycan may induce PD-L1 expression in tumor cells. Thus, targeting biglycan may achieve superior antitumor effects via multiple parallel pathways.

Conclusions

Our findings demonstrated that stromal biglycan alters breast cancer microenvironment, and deletion of stromal biglycan enhances the efficacy of chemotherapy treatment. Biglycan may represent a promising candidate to potentiate the efficacy of anticancer therapies in breast cancer.

Availability of data and materials

The datasets used during the current study are available from the corresponding author on reasonable request.

References

  1. Nagy JA, Chang SH, Dvorak AM, Dvorak HF. Why are tumour blood vessels abnormal and why is it important to know? Br J Cancer. 2009;100(6):865–9. https://doi.org/10.1038/sj.bjc.6604929.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Jain RK, Tong RT, Munn LL. Effect of vascular normalization by antiangiogenic therapy on interstitial hypertension, peritumor edema, and lymphatic metastasis: insights from a mathematical model. Cancer Res. 2007;67(6):2729–35. https://doi.org/10.1158/0008-5472.CAN-06-4102.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Stylianopoulos T, Munn LL, Jain RK. Reengineering the tumor vasculature: improving drug delivery and efficacy. Trends Cancer. 2018;4(4):258–9. https://doi.org/10.1016/j.trecan.2018.02.010.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Miller K, Wang M, Gralow J, Dickler M, Cobleigh M, Perez EA, Shenkier T, Cella D, Davidson NE. Paclitaxel plus bevacizumab versus paclitaxel alone for metastatic breast cancer. N Engl J Med. 2007;357(26):2666–76. https://doi.org/10.1056/NEJMoa072113.

    Article  CAS  PubMed  Google Scholar 

  5. Xu L, Duda DG, di Tomaso E, Ancukiewicz M, Chung DC, Lauwers GY, Samuel R, Shellito P, Czito BG, Lin PC, Poleski M, Bentley R, Clark JW, Willett CG, Jain RK. Direct evidence that bevacizumab, an anti-VEGF antibody, up-regulates SDF1alpha, CXCR4, CXCL6, and neuropilin 1 in tumors from patients with rectal cancer. Cancer Res. 2009;69(20):7905–10. https://doi.org/10.1158/0008-5472.CAN-09-2099.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Ueda S, Saeki T, Osaki A, Yamane T, Kuji I. Bevacizumab induces acute hypoxia and cancer progression in patients with refractory breast cancer: multimodal functional imaging and multiplex cytokine analysis. Clin Cancer Res. 2017;23(19):5769–78. https://doi.org/10.1158/1078-0432.CCR-17-0874.

    Article  CAS  PubMed  Google Scholar 

  7. Tolaney SM, Boucher Y, Duda DG, Martin JD, Seano G, Ancukiewicz M, Barry WT, Goel S, Lahdenrata J, Isakoff SJ, Yeh ED, Jain SR, Golshan M, Brock J, Snuderl M, Winer EP, Krop IE, Jain RK. Role of vascular density and normalization in response to neoadjuvant bevacizumab and chemotherapy in breast cancer patients. Proc Natl Acad Sci U S A. 2015;112(46):14325–30. https://doi.org/10.1073/pnas.1518808112.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Luck HJ, Lubbe K, Reinisch M, Maass N, Feisel-Schwickardi G, Tome O, Janni W, Aydogdu M, Neunhoffer T, Ober A, et al. Phase III study on efficacy of taxanes plus bevacizumab with or without capecitabine as first-line chemotherapy in metastatic breast cancer. Breast Cancer Res Treat. 2015;149(1):141–9. https://doi.org/10.1007/s10549-014-3217-y.

    Article  CAS  PubMed  Google Scholar 

  9. Welt A, Marschner N, Lerchenmueller C, Decker T, Steffens CC, Koehler A, Depenbusch R, Busies S, Hegewisch-Becker S. Capecitabine and bevacizumab with or without vinorelbine in first-line treatment of HER2/neu-negative metastatic or locally advanced breast cancer: final efficacy and safety data of the randomised, open-label superiority phase 3 CARIN trial. Breast Cancer Res Treat. 2016;156(1):97–107. https://doi.org/10.1007/s10549-016-3727-x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Hida K, Hida Y, Shindoh M. Understanding tumor endothelial cell abnormalities to develop ideal anti-angiogenic therapies. Cancer Sci. 2008;99(3):459–66. https://doi.org/10.1111/j.1349-7006.2007.00704.x.

    Article  CAS  PubMed  Google Scholar 

  11. Matsuda K, Ohga N, Hida Y, Muraki C, Tsuchiya K, Kurosu T, Akino T, Shih SC, Totsuka Y, Klagsbrun M, Shindoh M, Hida K. Isolated tumor endothelial cells maintain specific character during long-term culture. Biochem Biophys Res Commun. 2010;394(4):947–54. https://doi.org/10.1016/j.bbrc.2010.03.089.

    Article  CAS  PubMed  Google Scholar 

  12. Ohga N, Hida K, Hida Y, Muraki C, Tsuchiya K, Matsuda K, Ohiro Y, Totsuka Y, Shindoh M. Inhibitory effects of epigallocatechin-3 gallate, a polyphenol in green tea, on tumor-associated endothelial cells and endothelial progenitor cells. Cancer Sci. 2009;100(10):1963–70. https://doi.org/10.1111/j.1349-7006.2009.01255.x.

    Article  CAS  PubMed  Google Scholar 

  13. Amin DN, Hida K, Bielenberg DR, Klagsbrun M. Tumor endothelial cells express epidermal growth factor receptor (EGFR) but not ErbB3 and are responsive to EGF and to EGFR kinase inhibitors. Cancer Res. 2006;66(4):2173–80. https://doi.org/10.1158/0008-5472.CAN-05-3387.

    Article  CAS  PubMed  Google Scholar 

  14. Hida K, Hida Y, Amin DN, Flint AF, Panigrahy D, Morton CC, Klagsbrun M. Tumor-associated endothelial cells with cytogenetic abnormalities. Cancer Res. 2004;64(22):8249–55. https://doi.org/10.1158/0008-5472.CAN-04-1567.

    Article  CAS  PubMed  Google Scholar 

  15. Yamamoto K, Ohga N, Hida Y, Maishi N, Kawamoto T, Kitayama K, Akiyama K, Osawa T, Kondoh M, Matsuda K, Onodera Y, Fujie M, Kaga K, Hirano S, Shinohara N, Shindoh M, Hida K. Biglycan is a specific marker and an autocrine angiogenic factor of tumour endothelial cells. Br J Cancer. 2012;106(6):1214–23. https://doi.org/10.1038/bjc.2012.59.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Iozzo RV. The biology of the small leucine-rich proteoglycans. Functional network of interactive proteins. J Biol Chem. 1999;274(27):18843–6. https://doi.org/10.1074/jbc.274.27.18843.

    Article  CAS  PubMed  Google Scholar 

  17. Poluzzi C, Nastase MV, Zeng-Brouwers J, Roedig H, Hsieh LT, Michaelis JB, Buhl EM, Rezende F, Manavski Y, Bleich A, et al. Biglycan evokes autophagy in macrophages via a novel CD44/toll-like receptor 4 signaling axis in ischemia/reperfusion injury. Kidney Int. 2019;95(3):540–62. https://doi.org/10.1016/j.kint.2018.10.037.

    Article  CAS  PubMed  Google Scholar 

  18. Tufvesson E, Westergren-Thorsson G. Biglycan and decorin induce morphological and cytoskeletal changes involving signalling by the small GTPases RhoA and Rac1 resulting in lung fibroblast migration. J Cell Sci. 2003;116(Pt 23):4857–64. https://doi.org/10.1242/jcs.00808.

    Article  CAS  PubMed  Google Scholar 

  19. Ameye L, Aria D, Jepsen K, Oldberg A, Xu T, Young MF. Abnormal collagen fibrils in tendons of biglycan/fibromodulin-deficient mice lead to gait impairment, ectopic ossification, and osteoarthritis. FASEB J. 2002;16(7):673–80. https://doi.org/10.1096/fj.01-0848com.

    Article  CAS  PubMed  Google Scholar 

  20. Moreth K, Brodbeck R, Babelova A, Gretz N, Spieker T, Zeng-Brouwers J, Pfeilschifter J, Young MF, Schaefer RM, Schaefer L. The proteoglycan biglycan regulates expression of the B cell chemoattractant CXCL13 and aggravates murine lupus nephritis. J Clin Invest. 2010;120(12):4251–72. https://doi.org/10.1172/JCI42213.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Maishi N, Ohba Y, Akiyama K, Ohga N, Hamada J, Nagao-Kitamoto H, Alam MT, Yamamoto K, Kawamoto T, Inoue N, Taketomi A, Shindoh M, Hida Y, Hida K. Tumour endothelial cells in high metastatic tumours promote metastasis via epigenetic dysregulation of biglycan. Sci Rep. 2016;6(1):28039. https://doi.org/10.1038/srep28039.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Aprile G, Avellini C, Reni M, Mazzer M, Foltran L, Rossi D, Cereda S, Iaiza E, Fasola G, Piga A. Biglycan expression and clinical outcome in patients with pancreatic adenocarcinoma. Tumour Biol. 2013;34(1):131–7. https://doi.org/10.1007/s13277-012-0520-2.

    Article  CAS  PubMed  Google Scholar 

  23. Liu Y, Li W, Li X, Tai Y, Lu Q, Yang N, Jiang J. Expression and significance of biglycan in endometrial cancer. Arch Gynecol Obstet. 2014;289(3):649–55. https://doi.org/10.1007/s00404-013-3017-3.

    Article  CAS  PubMed  Google Scholar 

  24. Schulz GB, Grimm T, Sers C, Riemer P, Elmasry M, Kirchner T, Stief CG, Karl A, Horst D. Prognostic value and association with epithelial-mesenchymal transition and molecular subtypes of the proteoglycan biglycan in advanced bladder cancer. Urol Oncol. 2019;37(8):530 e539–18.

    Article  Google Scholar 

  25. Xu T, Bianco P, Fisher LW, Longenecker G, Smith E, Goldstein S, Bonadio J, Boskey A, Heegaard AM, Sommer B, Satomura K, Dominguez P, Zhao C, Kulkarni AB, Robey PG, Young MF. Targeted disruption of the biglycan gene leads to an osteoporosis-like phenotype in mice. Nat Genet. 1998;20(1):78–82. https://doi.org/10.1038/1746.

    Article  CAS  PubMed  Google Scholar 

  26. Kurosu T, Ohga N, Hida Y, Maishi N, Akiyama K, Kakuguchi W, Kuroshima T, Kondo M, Akino T, Totsuka Y, Shindoh M, Higashino F, Hida K. HuR keeps an angiogenic switch on by stabilising mRNA of VEGF and COX-2 in tumour endothelium. Br J Cancer. 2011;104(5):819–29. https://doi.org/10.1038/bjc.2011.20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Corsi A, Xu T, Chen XD, Boyde A, Liang J, Mankani M, Sommer B, Iozzo RV, Eichstetter I, Robey PG, Bianco P, Young MF. Phenotypic effects of biglycan deficiency are linked to collagen fibril abnormalities, are synergized by decorin deficiency, and mimic Ehlers-Danlos-like changes in bone and other connective tissues. J Bone Miner Res. 2002;17(7):1180–9. https://doi.org/10.1359/jbmr.2002.17.7.1180.

    Article  CAS  PubMed  Google Scholar 

  28. Hayashi M, Sakata M, Takeda T, Yamamoto T, Okamoto Y, Sawada K, Kimura A, Minekawa R, Tahara M, Tasaka K, Murata Y. Induction of glucose transporter 1 expression through hypoxia-inducible factor 1alpha under hypoxic conditions in trophoblast-derived cells. J Endocrinol. 2004;183(1):145–54. https://doi.org/10.1677/joe.1.05599.

    Article  CAS  PubMed  Google Scholar 

  29. Carmeliet P, Jain RK. Principles and mechanisms of vessel normalization for cancer and other angiogenic diseases. Nat Rev Drug Discov. 2011;10(6):417–27. https://doi.org/10.1038/nrd3455.

    Article  CAS  PubMed  Google Scholar 

  30. Schaefer L, Babelova A, Kiss E, Hausser HJ, Baliova M, Krzyzankova M, Marsche G, Young MF, Mihalik D, Gotte M, et al. The matrix component biglycan is proinflammatory and signals through toll-like receptors 4 and 2 in macrophages. J Clin Invest. 2005;115(8):2223–33. https://doi.org/10.1172/JCI23755.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Schonherr E, Witsch-Prehm P, Harrach B, Robenek H, Rauterberg J, Kresse H. Interaction of biglycan with type I collagen. J Biol Chem. 1995;270(6):2776–83. https://doi.org/10.1074/jbc.270.6.2776.

    Article  CAS  PubMed  Google Scholar 

  32. Anders HJ, Schaefer L. Beyond tissue injury-damage-associated molecular patterns, toll-like receptors, and inflammasomes also drive regeneration and fibrosis. J Am Soc Nephrol. 2014;25(7):1387–400. https://doi.org/10.1681/ASN.2014010117.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Sahai E, Astsaturov I, Cukierman E, DeNardo DG, Egeblad M, Evans RM, Fearon D, Greten FR, Hingorani SR, Hunter T, et al. A framework for advancing our understanding of cancer-associated fibroblasts. Nat Rev Cancer. 2020;20(3):174–86. https://doi.org/10.1038/s41568-019-0238-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Shrimali RK, Yu Z, Theoret MR, Chinnasamy D, Restifo NP, Rosenberg SA. Antiangiogenic agents can increase lymphocyte infiltration into tumor and enhance the effectiveness of adoptive immunotherapy of cancer. Cancer Res. 2010;70(15):6171–80. https://doi.org/10.1158/0008-5472.CAN-10-0153.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Chen IX, Chauhan VP, Posada J, Ng MR, Wu MW, Adstamongkonkul P, Huang P, Lindeman N, Langer R, Jain RK. Blocking CXCR4 alleviates desmoplasia, increases T-lymphocyte infiltration, and improves immunotherapy in metastatic breast cancer. Proc Natl Acad Sci U S A. 2019;116(10):4558–66. https://doi.org/10.1073/pnas.1815515116.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Chauhan VP, Martin JD, Liu H, Lacorre DA, Jain SR, Kozin SV, Stylianopoulos T, Mousa AS, Han X, Adstamongkonkul P, Popović Z, Huang P, Bawendi MG, Boucher Y, Jain RK. Angiotensin inhibition enhances drug delivery and potentiates chemotherapy by decompressing tumour blood vessels. Nat Commun. 2013;4(1):2516. https://doi.org/10.1038/ncomms3516.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Hu L, Duan YT, Li JF, Su LP, Yan M, Zhu ZG, Liu BY, Yang QM. Biglycan enhances gastric cancer invasion by activating FAK signaling pathway. Oncotarget. 2014;5(7):1885–96. https://doi.org/10.18632/oncotarget.1871.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Xing X, Gu X, Ma T, Ye H. Biglycan up-regulated vascular endothelial growth factor (VEGF) expression and promoted angiogenesis in colon cancer. Tumour Biol. 2015;36(3):1773–80. https://doi.org/10.1007/s13277-014-2779-y.

    Article  CAS  PubMed  Google Scholar 

  39. Hu L, Zang MD, Wang HX, Li JF, Su LP, Yan M, Li C, Yang QM, Liu BY, Zhu ZG. Biglycan stimulates VEGF expression in endothelial cells by activating the TLR signaling pathway. Mol Oncol. 2016;10(9):1473–84. https://doi.org/10.1016/j.molonc.2016.08.002.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Jain RK. Normalizing tumor microenvironment to treat cancer: bench to bedside to biomarkers. J Clin Oncol. 2013;31(17):2205–18. https://doi.org/10.1200/JCO.2012.46.3653.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Vosseler S, Mirancea N, Bohlen P, Mueller MM, Fusenig NE. Angiogenesis inhibition by vascular endothelial growth factor receptor-2 blockade reduces stromal matrix metalloproteinase expression, normalizes stromal tissue, and reverts epithelial tumor phenotype in surface heterotransplants. Cancer Res. 2005;65(4):1294–305. https://doi.org/10.1158/0008-5472.CAN-03-3986.

    Article  CAS  PubMed  Google Scholar 

  42. Hirofumi Morimoto YH, Nako Maishi, Hiroshi Nishihara, Yutaka Hatanaka, Cong LI, Yoshihiro Matsuno, Toru Nakamur, Satoshi Hirano, Kyoko Hida. Biglycan, tumor endothelial cell secreting proteoglycan, as possible biomarker for lung cancer (in press). Thoracic Cancer 2021.

  43. Andrlova H, Mastroianni J, Madl J, Kern JS, Melchinger W, Dierbach H, Wernet F, Follo M, Technau-Hafsi K, Has C, et al. Biglycan expression in the melanoma microenvironment promotes invasiveness via increased tissue stiffness inducing integrin-beta1 expression. Oncotarget. 2017;8(26):42901–16. https://doi.org/10.18632/oncotarget.17160.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Armulik A, Abramsson A, Betsholtz C. Endothelial/pericyte interactions. Circ Res. 2005;97(6):512–23. https://doi.org/10.1161/01.RES.0000182903.16652.d7.

    Article  CAS  PubMed  Google Scholar 

  45. Greenberg JI, Shields DJ, Barillas SG, Acevedo LM, Murphy E, Huang J, Scheppke L, Stockmann C, Johnson RS, Angle N, Cheresh DA. A role for VEGF as a negative regulator of pericyte function and vessel maturation. Nature. 2008;456(7223):809–13. https://doi.org/10.1038/nature07424.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Augustin HG, Koh GY, Thurston G, Alitalo K. Control of vascular morphogenesis and homeostasis through the angiopoietin-Tie system. Nat Rev Mol Cell Biol. 2009;10(3):165–77. https://doi.org/10.1038/nrm2639.

    Article  CAS  PubMed  Google Scholar 

  47. Keskin D, Kim J, Cooke VG, Wu CC, Sugimoto H, Gu C, De Palma M, Kalluri R, LeBleu VS. Targeting vascular pericytes in hypoxic tumors increases lung metastasis via angiopoietin-2. Cell Rep. 2015;10(7):1066–81. https://doi.org/10.1016/j.celrep.2015.01.035.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Chui A, Gunatillake T, Brennecke SP, Ignjatovic V, Monagle PT, Whitelock JM, van Zanten DE, Eijsink J, Wang Y, Deane J, Borg AJ, Stevenson J, Erwich JJ, Said JM, Murthi P. Expression of Biglycan in first trimester chorionic villous sampling placental samples and altered function in telomerase-immortalized microvascular endothelial cells. Arterioscler Thromb Vasc Biol. 2017;37(6):1168–79. https://doi.org/10.1161/ATVBAHA.117.309422.

    Article  CAS  PubMed  Google Scholar 

  49. Montfort A, Colacios C, Levade T, Andrieu-Abadie N, Meyer N, Segui B. The TNF paradox in Cancer progression and immunotherapy. Front Immunol. 2019;10:1818. https://doi.org/10.3389/fimmu.2019.01818.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Leibovich SJ, Polverini PJ, Shepard HM, Wiseman DM, Shively V, Nuseir N. Macrophage-induced angiogenesis is mediated by tumour necrosis factor-alpha. Nature. 1987;329(6140):630–2. https://doi.org/10.1038/329630a0.

    Article  CAS  PubMed  Google Scholar 

  51. Baluk P, Yao LC, Feng J, Romano T, Jung SS, Schreiter JL, Yan L, Shealy DJ, McDonald DM. TNF-alpha drives remodeling of blood vessels and lymphatics in sustained airway inflammation in mice. J Clin Invest. 2009;119(10):2954–64. https://doi.org/10.1172/JCI37626.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Izquierdo E, Canete JD, Celis R, Santiago B, Usategui A, Sanmarti R, Del Rey MJ, Pablos JL. Immature blood vessels in rheumatoid synovium are selectively depleted in response to anti-TNF therapy. PLoS One. 2009;4(12):e8131. https://doi.org/10.1371/journal.pone.0008131.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Kim I, Kim JH, Ryu YS, Liu M, Koh GY. Tumor necrosis factor-alpha upregulates angiopoietin-2 in human umbilical vein endothelial cells. Biochem Biophys Res Commun. 2000;269(2):361–5. https://doi.org/10.1006/bbrc.2000.2296.

    Article  CAS  PubMed  Google Scholar 

  54. Hao NB, Lu MH, Fan YH, Cao YL, Zhang ZR, Yang SM. Macrophages in tumor microenvironments and the progression of tumors. Clin Dev Immunol. 2012;2012:948098.

    Article  Google Scholar 

  55. Rolny C, Mazzone M, Tugues S, Laoui D, Johansson I, Coulon C, Squadrito ML, Segura I, Li X, Knevels E, Costa S, Vinckier S, Dresselaer T, Åkerud P, de Mol M, Salomäki H, Phillipson M, Wyns S, Larsson E, Buysschaert I, Botling J, Himmelreich U, van Ginderachter JA, de Palma M, Dewerchin M, Claesson-Welsh L, Carmeliet P. HRG inhibits tumor growth and metastasis by inducing macrophage polarization and vessel normalization through downregulation of PlGF. Cancer Cell. 2011;19(1):31–44. https://doi.org/10.1016/j.ccr.2010.11.009.

    Article  CAS  PubMed  Google Scholar 

  56. Moreth K, Frey H, Hubo M, Zeng-Brouwers J, Nastase MV, Hsieh LT, Haceni R, Pfeilschifter J, Iozzo RV, Schaefer L. Biglycan-triggered TLR-2- and TLR-4-signaling exacerbates the pathophysiology of ischemic acute kidney injury. Matrix Biol. 2014;35:143–51. https://doi.org/10.1016/j.matbio.2014.01.010.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Bani-Hani AH, Leslie JA, Asanuma H, Dinarello CA, Campbell MT, Meldrum DR, Zhang H, Hile K, Meldrum KK. IL-18 neutralization ameliorates obstruction-induced epithelial-mesenchymal transition and renal fibrosis. Kidney Int. 2009;76(5):500–11. https://doi.org/10.1038/ki.2009.216.

    Article  CAS  PubMed  Google Scholar 

  58. Babelova A, Moreth K, Tsalastra-Greul W, Zeng-Brouwers J, Eickelberg O, Young MF, Bruckner P, Pfeilschifter J, Schaefer RM, Grone HJ, et al. Biglycan, a danger signal that activates the NLRP3 inflammasome via toll-like and P2X receptors. J Biol Chem. 2009;284(36):24035–48. https://doi.org/10.1074/jbc.M109.014266.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Jones LK, O'Sullivan KM, Semple T, Kuligowski MP, Fukami K, Ma FY, Nikolic-Paterson DJ, Holdsworth SR, Kitching AR. IL-1RI deficiency ameliorates early experimental renal interstitial fibrosis. Nephrol Dial Transplant. 2009;24(10):3024–32. https://doi.org/10.1093/ndt/gfp214.

    Article  CAS  PubMed  Google Scholar 

  60. Martin JD, Seano G, Jain RK. Normalizing function of tumor vessels: Progress, opportunities, and challenges. Annu Rev Physiol. 2019;81(1):505–34. https://doi.org/10.1146/annurev-physiol-020518-114700.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Jain RK. Antiangiogenesis strategies revisited: from starving tumors to alleviating hypoxia. Cancer Cell. 2014;26(5):605–22. https://doi.org/10.1016/j.ccell.2014.10.006.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Cleator S, Heller W, Coombes RC. Triple-negative breast cancer: therapeutic options. Lancet Oncol. 2007;8(3):235–44. https://doi.org/10.1016/S1470-2045(07)70074-8.

    Article  PubMed  Google Scholar 

  63. Schmid P, Chui SY, Emens LA. Atezolizumab and nab-paclitaxel in advanced triple-negative breast cancer. Reply N Engl J Med. 2019;380(10):987–8. https://doi.org/10.1056/NEJMc1900150.

    Article  PubMed  Google Scholar 

  64. Wang W, Chapman NM, Zhang B, Li M, Fan M, Laribee RN, Zaidi MR, Pfeffer LM, Chi H, Wu ZH. Upregulation of PD-L1 via HMGB1-activated IRF3 and NF-kappaB contributes to UV radiation-induced immune suppression. Cancer Res. 2019;79(11):2909–22. https://doi.org/10.1158/0008-5472.CAN-18-3134.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We would like to thank Dr. A. Matsuda, Mr. S. Baba, Ms. M. Sasaki, and Ms. Y. Suzuki for their technical assistance with the experiments.

Funding

This research was supported by JSPS Grants-in-Aid for Scientific Research to NM (JP18K09715), YH (JP18H02891), and KH (JP18H02996), Grants from Japan Agency for Medical Research and Development (AMED) to NM (JP18ck0106198h0003) and KH (JP19ck0106406h0002), the Intramural Research Program of the NIH, NIDCR Molecular Biology of Bones and Teeth Section (Z01DE000379-35) and the Veterinary Resources Core (ZIC DE000740-05) to MY.

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Authors and Affiliations

  1. Vascular Biology and Molecular Pathology, Graduate School of Dental Medicine, Hokkaido University, Sapporo, 060-8586, Japan

    Li Cong, Nako Maishi, Dorcas A. Annan, Masahiro Morimoto & Kyoko Hida

  2. Vascular Biology, Frontier Research Unit, Institute for Genetic Medicine, Hokkaido University, Sapporo, 060-0815, Japan

    Li Cong, Nako Maishi, Dorcas A. Annan, Hirofumi Morimoto & Masahiro Morimoto

  3. Molecular Biology of Bones and Teeth Section, NIDCR, Bethesda, MD, 20892-4320, USA

    Marian F. Young

  4. Global Institution for Collaborative Research and Education (GI-CoRE), Faculty of Medicine, Hokkaido University, Sapporo, 060-0808, Japan

    Jin-Min Nam

  5. Department of Cardiovascular and Thoracic Surgery, Faculty of Medicine, Hokkaido University, Sapporo, 060-8638, Japan

    Yasuhiro Hida

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  1. Li Cong
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Contributions

L.C. performed and analyzed experiments and wrote the original manuscript. N.M. developed the methodology and modified the manuscript. D.AA., H.M., and M.M. performed the experiments and analyzed data. M.F. and JM.N. coordinated the research project. Y.H. helped conceive the study. K.H. conceived, designed, and supervised the study and modified the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Kyoko Hida.

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Ethics approval and consent to participate

All animal experiments were approved by the animal research authorities of Hokkaido University. The authors followed the Animal Research: Reporting of In Vivo Experiments (ARRIVE) guidelines for animal studies.

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Not applicable.

Competing interests

We declare no potential conflicts of interest.

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Cong, L., Maishi, N., Annan, D.A. et al. Inhibition of stromal biglycan promotes normalization of the tumor microenvironment and enhances chemotherapeutic efficacy. Breast Cancer Res 23, 51 (2021). https://doi.org/10.1186/s13058-021-01423-w

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  • DOI: https://doi.org/10.1186/s13058-021-01423-w

Keywords

  • Tumor stroma
  • Angiogenesis
  • Biglycan
  • Tumor microenvironment
  • Breast cancer

Breast Cancer Research

ISSN: 1465-542X

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