Skip to main content

Phase I clinical trial of the combination of eribulin and everolimus in patients with metastatic triple-negative breast cancer



Alteration of the PI3K/AKT/mTOR pathway is a common genomic abnormality detected in triple-negative breast cancer (TNBC). Everolimus acts synergistically with eribulin in TNBC cell lines and xenograft models. This phase I trial was designed to test the safety and tolerability of combining eribulin and everolimus in patients with metastatic TNBC.


The primary objective of this study was to evaluate the safety and toxicities of the combination. Patients with metastatic TNBC who had up to four lines of prior chemotherapies were enrolled. The combination of eribulin and everolimus was tested using three dosing levels: A1 (everolimus 5 mg daily; eribulin 1.4 mg/m2 days 1 and 8 every 3 weeks), A2 (everolimus 7.5 mg daily; eribulin 1.4 mg/m2, days 1 and 8 every 3 weeks), and B1 (everolimus 5 mg daily; eribulin 1.1 mg/m2 days 1 and 8 every 3 weeks).


Twenty-seven patients with median age 55 years were enrolled. Among 8 evaluable patients who received dose level A1, 4 had dose-limiting toxicities (DLTs). Among 3 evaluable patients treated with dose level A2, 2 had DLTs. Among 12 evaluable patients who received dose level B1, 4 had DLTs. The DLTs were neutropenia, stomatitis, and hyperglycemia. Over the study period, 59% had a ≥ grade 3 toxicity, 44% had ≥ grade 3 hematologic toxicities, and 22% had grade 4 hematologic toxicities. The most common hematological toxicities were neutropenia, leukopenia, and lymphopenia. Thirty-three percent had grade 3 non-hematologic toxicities. The most common non-hematological toxicities were stomatitis, hyperglycemia, and fatigue. The median number of cycles completed was 4 (range 0–8). Among 25 eligible patients, 9 patients (36%) achieved the best response as partial response, 9 (36%) had stable disease, and 7 (28%) had progression. The median time to progression was 2.6 months (95% CI [2.1, 4.0]), and median overall survival (OS) was 8.3 months (95% CI [5.5, undefined]).


Eribulin 1.1 mg/m2 days 1 and 8 every 3 weeks with everolimus 5 mg daily was defined as the highest dose with acceptable toxicity (RP2D). The combination is safe, and efficacy is modest. A post hoc analysis showed that participants that used dexamethasone mouthwash stayed on treatment for one additional cycle.

Trial registration, NCT02120469. Registered 18 April 2014


Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by a lack of estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 (HER-2) amplification and accounts for approximately 15 to 20% of all breast cancer [1,2,3]. TNBC is a heterogeneous disease comprised of several molecular subtypes defined by gene expression profiling [4,5,6,7]. TNBCs often become chemotherapy-resistant upon relapse; hence, clinical outcome for patients with metastatic TNBC (mTNBC) is particularly poor with a median overall survival (OS) of approximately 13–16 months, largely due to the lack of effective targeted therapy [2, 8, 9]. There have been recent breakthrough therapies in subpopulations of patients with mTNBC, such as poly ADP ribose polymerase (PARP) inhibitors olaparib and talazoparib in patients with germline BRCA1 or BRCA2 mutation [10,11,12]. Immune checkpoint inhibitors targeting programmed death 1 (PD-1) or programmed death ligand 1 (PD-L1) showed efficacy in PD-L1-positive TNBCs [13,14,15,16,17,18]. Despite the progress being made, there is an unmet need for novel targeted therapies to improve the outcome of patients with mTNBC.

Phosphatidylinositol 3-kinase (PI3K)/AKT pathway alterations are some of the most common genomic alterations identified in breast cancer, and recently, the FDA granted approval of PI3Kα-specific inhibitor alpelisib plus fulvestrant in PIK3CA-altered ER-positive metastatic breast cancer [19]. The PI3K/AKT pathway alterations include the loss-of-function of the tumor suppressor phosphatase and tensin homolog (PTEN) [20, 21]. Overall, the activating mutations of PI3K catalytic subunit alpha (PIK3CA)/AKT/PTEN-altered tumors account for approximately 35% of patients with TNBC [21, 22]. It is also noted that the alteration of this pathway increases in metastatic disease, which suggests that PI3K pathway alterations may be associated with chemotherapy resistance in TNBC [23, 24].

Eribulin mesylate is a synthetic analog of halichondrin B, a natural product isolated from the marine sponge okadai kadota [25]. It shows antitumor activity via a tubulin-based anti-mitotic mechanism, which leads to G2/M cell cycle arrest, disruption of mitotic spindles, and apoptotic cell death. Eribulin inhibits cell growth in a wide range of cancer cell lines including breast, colon, prostate, and ovarian cancer [26]. Eribulin suppresses metastasis of breast cancer cells by reversing the phenotype from epithelial-mesenchymal transition (EMT) to mesenchymal-epithelial transition (MET) states [27]. In the EMBRACE trial, eribulin showed OS benefit compared with conventional single-agent chemotherapy of physician’s choice in heavily pretreated patients with metastatic breast cancer [28]. This result led to FDA approval in 2011.

Everolimus inhibits cytokine and growth factor-dependent cell proliferation by inhibiting the mammalian target of rapamycin (mTOR), a key protein involved in the PI3K pathway [29]. In both preclinical models and early clinical trials in breast cancer, everolimus demonstrated promising efficacy [30, 31]. Furthermore, a randomized phase III study has indicated better clinical outcomes for the treatment of metastatic hormone receptor-positive breast cancer in combination with an aromatase inhibitor [32]. Paradoxically, single-agent mTOR inhibition with everolimus enhances upstream receptor tyrosine kinase activity and activates downstream AKT activity [33, 34], which may explain the lack of activity as a single agent in breast cancer. Increased efficacy has been observed when everolimus is combined with HER2-targeted therapy [35,36,37] or carboplatin [38, 39].

Our preclinical studies demonstrated the synergistic effect of eribulin and everolimus in TNBC cell lines and murine models [34]. In TNBC cell lines MDA-MB-468 and BT549, phosphorylation of AKT was suppressed by eribulin. The combination of eribulin and everolimus resulted not only in an increased reduction of p-S6K1 and p-S6, but also a synergistic inhibition of cell survival in vitro and enhanced suppression of tumor growth in two mouse models. These findings provide a preclinical foundation for targeting both the microtubule cytoskeleton and the PI3K/AKT/mTOR pathway in the treatment of refractory TNBC [34].

We hypothesize that the combination of eribulin and everolimus may be effective in patients with metastatic TNBC resistant to anthracyclines and taxanes. Here, we report the results of a phase I trial of everolimus and eribulin in patients with mTNBC.


Study design

This study was a single-center phase I trial conducted in patients with mTNBC resistant to anthracycline and/or taxane. The primary objective was to evaluate the safety and tolerability of everolimus and eribulin and to determine the recommended phase 2 dose (RP2D) of the combination in patients with mTNBC who had received up to four lines of prior chemotherapy for metastatic disease. The secondary objective was to assess the activity based on the response rate (RR) and progression-free survival (PFS). Study treatment was provided until disease progression or unacceptable toxicity. The study was conducted with the Declaration of Helsinki and Good Clinical Practice. This study is registered at the clinical trial website under number NCT02723877.

Patient population

This study was conducted between November 2014 and March 2019 with an institutional review board (IRB) approval at the City of Hope National Cancer Center. Informed consent forms were signed by all patients prior to study entry. Main patient eligibility criteria included the following: age ≥ 18 years; life expectancy of ≥ 3 months; ECOG performance status 0–2; histologically confirmed TNBC (ER < 10%, PR < 10%, HER-2neu-negative defined by IHC 0 or 1, or FISH-negative); 0–3 lines of prior chemotherapy for metastases; prior treatment with anthracycline and/or taxane therapy including (neo) adjuvant setting; adequate bone marrow reserve (hemoglobin ≥ 9 g/dL, absolute neutrophil count (ANC) ≥ 1500/mm3, platelet count ≥ 100,000/mm3); adequate renal function defined by creatinine ≤ 1.5× the upper limit of normal (ULN); adequate liver function defined by total bilirubin ≤ 1.5× ULN, alanine transaminase (ALT), and aspartate transaminase (AST) ≤ 2.5× ULN (≤ 5× ULN in patients with liver metastases); able to obtain baseline computed tomography (CT), bone scan, or positron emission tomography (PET)/CT; and able to provide written informed consent. The mandatory use of dexamethasone mouthwash (alcohol-free 0.5 mg/5 mL dexamethasone solution) was amended at time of dose level B1 to reduce oral mucositis based on SWISH study results [40].

The main exclusion criteria included the following: chemotherapy or radiotherapy within 2 weeks prior to study entry; persisting ≥ grade 2 AE defined by NCI CTCAE v4.0 at screening visit except alopecia; untreated or unstable brain metastases; prior eribulin or everolimus use; HIV; chronic hepatitis B or C (known from the existing medical record); concomitant use with strong or moderate CPY3A4/PgP inhibitors and CPY3A4/PgP inducers; uncontrolled current illness including, but not limited to, ongoing or active infection (≥ grade 2 based on the NCI CTCAE v4.0); symptomatic congestive heart failure, unstable angina pectoris, or myocardial infarction within the past 6 months; cardiac ventricular arrhythmias requiring anti-arrhythmic therapy; unable to take oral medication; history of non-compliance to medical regimens; and psychiatric illness or social situations that would limit compliance with study requirements.

Baseline assessments

At screening visit, physical examination, vital signs, and labs including complete blood cell count (CBC) and differential, complete metabolic panels (CMP), and liver function test (LFT) were performed and repeated every 3 weeks on day 1 of each cycle. A baseline electrocardiogram (EKG) was also obtained and repeated as clinically indicated. All patients were screened for hepatitis B and C infection. Urine or serum pregnancy test was also performed at screening. For tumor response assessment, CT scan of the chest/abdomen/pelvis and bone scan were performed for response evaluation criteria in solid tumor (RECIST1.1) evaluation. Brain MRI with contrast was used if clinically indicated.

Study treatment

Three dosing levels of the combinations were tested. For dose level A1, everolimus 5 mg daily and eribulin 1.4 mg/m2 days 1 and 8 every 3 weeks were given. For dose level A2, everolimus 7.5 mg daily and eribulin 1.4 mg/m2 days 1 and 8 every 3 weeks were given. In dose level B1, everolimus 5 mg daily and eribulin 1.1 mg/m2 days 1 and 8 every 3 weeks were given. A mandatory dexamethasone mouthwash consisting of 10 mL of alcohol-free dexamethasone 0.5 mg/5 mL oral solution (swish for 2 min and spit, four times daily) was added to the protocol in an amendment in 2017 when dose level B1 was opened [40]. Other supportive medications, including anti-emetics, were used according to the current standard of care guidelines. Patients were treated until progression or unacceptable toxicity occurred.

Statistical methods

The study utilized the toxicity equivalence range (TEQR) design with a target equivalence range for dose-limiting toxicities (DLTs) of 0.20–0.35. Toxicity levels of ≥ 0.51 were considered too toxic, and the dose that achieve this level was closed. Patients entered the protocol in cohorts of 3. This trial was considered complete when 12 evaluable patients were studied at a single dose level with a toxicity level of < 0.51. The RP2D was determined as the dose closest to the target of 0.25 below 0.51 based on isotonic regression [39].

DLT was defined as (i) grade 3 febrile neutropenia, grade 3 neutropenia lasting for > 7 days, grade 4 neutropenia, and grade 4 thrombocytopenia; (ii) any non-hematological toxicity ≥ grade 3, controllable grade 3 nausea and vomiting, < 5 days of grade 3 fatigue, triglycerides < 1500 mg/dL which recovers in 1 week, grade 3 lab abnormalities that are correctable to grade 2 or less with 24 h, and grade 3 hyperglycemia that is controlled to grade 2; (iii) treatment delays > 2 weeks as a result of unresolved toxicity during the first cycle of therapy; and (iv) failure to complete at least 75% of planned dose of either drugs during cycle 1 due to toxicity. Toxicity was evaluated based on the National Cancer Institute Common Terminology Criteria for Adverse Events (NCI CTCAE) v4.0.

Descriptive statistics were used to summarize the patient demographic characteristics and adverse events. Rates and exact Clopper-Pearson 95% confidence intervals were provided for DLTs at the RP2D and disease response. PFS and OS were described using Kaplan-Meier methods.

Tumor genomic profiling

Formalin-fixed paraffin-embedded (FFPE) tumor tissues from patients who consented to tumor tissue analysis were collected. DNA exome sequencing was performed using the commercially available assay FoundationOne® [41] (n = 9). For tumor RNA profiling, NanoString nCounter® PanCancer Pathway (n = 20) and Breast Cancer 360™ Panel (BC360™) (n = 11) were performed for patients who had sufficient baseline FFPE tumor tissue. PanCancer multiplex gene expression analysis was performed using 770 genes from cancer-associated canonical pathways including: MAPK, STAT, PI3K, RAS, cell cycle, apoptosis, Hedgehog, Wnt, DNA damage control, transcriptional regulation, chromatin modification, and TGF-β. BC360™ panel analysis was performed for 770 genes across 24 key breast cancer pathways and processes (PAM50 signature, TNBC signature, claudin-low signature, tumor inflammation signature, and 38 unique signatures with well-established roles in breast cancer and immuno-oncology) [42]. Tumor sections were microdissected from the patients’ unstained slides, and RNA was extracted using miRNeasy FFPE kit (Qiagen). RNA concentration was assessed with the Nanodrop spectrophotometer ND-1000 and Qubit 3.0 fluorometer (Thermo Scientific, CA). RNA fragmentation and quality control were further determined by 2100 Bioanalyzer (Agilent, CA). RNA was hybridized with codeset from gene panel at 65 °C for 16–20 h. Post-hybridization probe-target mixture was purified and quantified with nCounter Digital Analyzer, and all data analysis was performed on nSolver (NanoString Technologies, WA). All raw data from expression analysis were first aligned with internal positive and negative controls then normalized to the selected housekeeping genes included in the assay. Differential gene expression patterns as well as pathway and cell type scores with statistical analyses were performed with nSolver software (NanoString Technologies, WA). BC360™ signatures including PAM50 breast cancer intrinsic subtype classifier and the tumor inflammation signature were analyzed by NanoString. NanoString data was analyzed for statistical significance using nSolver analysis software. Box plots of differential expression with associated p value calculation were generated using Graphpad Prism 5.0 software (La Jolla, CA, USA).


A total of 27 patients were enrolled and received treatment from November 2014 to March 2019. The median age of patients was 55 (range 36–76). Sixty-seven percent (18/27) of participants were non-Hispanic and 33% (9/27) were Hispanic (Table 1). Sites of metastases were distant lymph nodes 67% (18/27), lung 56% (15/27), distant skin/subcutaneous tissue 41% (11/27), bone 41% (11/27), liver 37% (10/27), pleura 33% (9/27), brain 7% (2/27), and others 19% (5/27). The number of patients receiving 0–1 lines of chemotherapy for metastases was 44% (12/27), and the number of patients receiving ≥ 2 lines of chemotherapy was 56% (15/27). Two of 27 patients were found to be HER-2/neu-amplified at the time of confirmatory biopsy and were taken off study. These two patients were not included in efficacy analysis but were included in toxicity analysis (Fig. 1).

Table 1 Patient characteristics
Fig. 1

Patient accrual and correlative analysis summary. A total of 27 patients were accrued and received treatment on the study. Two of the patients’ on-treatment biopsy revealed HER2+ FISH-amplified tumor, and study treatment was terminated (patients were excluded from the efficacy analysis but included in the toxicity analysis). mRNA profiling was performed for 20 patients with NanoString PanCancer Pathways analysis and 11 patients for BC360™. FoundationOne ® genomic mutation profiles were available for 9 patients


Three dose levels of everolimus and eribulin were evaluated: level A1 (everolimus 5 mg daily; eribulin 1.4 mg/m2 on days 1 and 8 every 3 weeks), level A2 (everolimus 7.5 mg daily; eribulin 1.4 mg/m2 on days 1 and 8 every 3 weeks), and level B1 (everolimus 5 mg daily; eribulin 1.1 mg/m2 on days 1 and 8 every 3 weeks) (Table 2). Initially, 4 patients received treatment on dose level A1. One patient was not evaluable for dose escalation, due to receiving < 75% drug as a result of an event that was unrelated to treatment. There were no DLTs in 3 evaluable patients, so the dose was escalated based on the guidelines for the TEQR design. Four patients were treated on dose level A2. One patient was found to be HER2+ and was taken off study. A total of 2/3 evaluable patients experienced DLTs in cycle 1, so dose level A2 was de-escalated to dose level A1 according to TEQR guidelines. Six additional patients were treated at dose level A1. Of those, 1 patient progressed without completing the first cycle and did not have a DLT, hence unevaluable for dose escalation. Of the 5 evaluable patients, 4 experienced DLTs. Of the 8 patients evaluable at dose level 1, 4/8 had DLTs (50%). The DLTs included 2 patients with grade 4 neutropenia, 1 patient with grade 3 mucositis, and 1 patient received less than 75% of planned dose of everolimus due to persisting grade 2 mucositis. The protocol was amended to add a lower dose level of B1, eribulin at 1.1 mg/m2 on days 1 and 8 every 3 weeks and everolimus 5 mg daily. Thirteen patients were treated at dose level B1. One patient was ineligible due to HER2+ disease on repeat of biopsy. Of the 12 patients treated, the DLT rate at dose level B1 was 33% (4/12) with a 95% CI of 0.1, 0.65, thus completing the phase 1 part of the trial (Table 2). Dose level B1 (everolimus 5 mg daily and eribulin 1.1 mg/m2 on days 1 and 8 every 3 weeks) was determined to be the RP2D doses. The median number of cycles completed was 4 (0–18).

Table 2 Dosing levels and DLTs

Dose modification

Sixty-eight percent (17/25) of participants had a dose modification or hold, including 56% (14/25) for eribulin and 60% (15/25) for everolimus.


Of the 27 patients, 96% (26/27) had a grade ≥ 2 toxicity, and 59% (16/27) had grade 3–4 toxicity attributed to treatment. There were no grade 5 toxicities attributed to treatment.

Hematologic toxicities

Of the 27 patients, 44% (12/27) had grade 3 and above hematologic toxicities, including neutropenia (n = 10), lymphopenia (n = 6), and leukopenia (n = 7) (Fig. 2a).

Fig. 2

Summary of toxicities. a Hematological toxicities: 12/27 (44%) had ≥ grade 3 hematological toxicity, including neutropenia (n = 10), lymphopenia (n = 6), and leukopenia (n = 7). b Non-hematologic toxicities: 9/27 (33%) had grade 3 non-hematological toxicity, including oral mucositis (n = 3), hyperglycemia (n = 3), and fatigue (n = 5). The counts of maximum ≥ grade 2 for each participant was listed for each event type (either ≥ grade 3 toxicity, or 2 participants experienced a grade 2 toxicity)

Non-hematologic toxicities

Of the 27 patients, 9/27 (33%) had grade 3 non-hematologic toxicities, including oral mucositis (n = 3), hyperglycemia (n = 3), and fatigue (n = 5). The counts of maximum grade 2 and above for each participant were listed for each event type where either a grade 3 or above toxicity was experienced, or 2 participants experienced a grade 2 (Fig. 2b). When dose level B1 was opened, a mandatory dexamethasone (Dex) mouthwash was added to reduce oral mucositis based on principle of best medical practice and clinical trial data [40]. Of the 12 evaluable participants enrolled to dose level B1, 2 did not use Dex mouthwash and 3 of the patients in the A1 dose used Dex mouthwash. A post hoc analysis was performed to compare the number of cycles that patients received in the Dex group with the non-Dex group. The median number of cycles was higher by 1 cycle (from 3 to 4 cycles) in the participants that took Dex. This was statistically significant using a Wilcoxon rank sum test (Dex: n = 13; non-Dex: n = 12; p = 0.046).

Antitumor activity and survival

Of the 25 evaluable patients, 9/25 (36%) had a partial response (PR), 9/25 (36%) achieved a best response of stable disease (SD), and 7/25 (28%) had progression of disease (PD). A total of 21/25 (84%, 95%CI [64%, 95%]) experienced progression by RECIST1.1 or showed clinical progression. The median PFS was 2.6 months (95%CI [2.1, 4.0]). Nineteen of 25 (76%, 95% CI [55%, 91%]) eligible participants had event of death at the time of data cutoff (25 March 2019), and the median OS was 8.3 months (95% CI [5.5, undefined]). The cause of death was disease progression for 18 and failure to thrive for 1. Kaplan-Meier curves for PFS and OS are shown in Fig. 3. Of the 24 participants that were off treatment, 17 (71%) were off for progression, 4 (17%) for clinical progression, 2 (8%) for toxicity, and 1 (4%) for lack of insurance coverage.

Fig. 3

Kaplan-Meier survival analysis. a Median PFS was 2.6 months (95% CI [2.1, 4.0]). b Median OS was 8.3 months (95% CI [5.5, undefined])

mRNA expression and response

NanoString PanCancer Pathway profiling was performed for 20 patients who had sufficient FFPE from metastatic biopsy. PanCancer Pathway with the grouping of patients’ best response analysis revealed a total of 22 differentially expressed genes (DEGs) comparing PR (n = 7) vs. SD+PD (n = 13) (linear fold change > 2 and p < 0.05). Five DEGs (CDKN2A, WNT5A, CNTFR, DDIT4, and SPP1) were downregulated in PR, and 17 DEGs were upregulated in PR. Of the 22 genes, 9 DEGs are involved in the PI3K pathway (Table 3). It should be noted that several immune-related genes including CD19, IL7R, IL6, and CCR7 were upregulated in partial responders. A volcano plot with differentially expressed genes (linear fold change > 2 and p < 0.05) was used to compare SD+PD and PR (Fig. 4a). Decreased CDKN2A expression (p = 0.02) (Fig. 4b) and increased CALML5 (p = 0.01) (Fig. 4c) were associated with better response to therapy.

Table 3 NanoString PanCancer Pathways® differentially expressed genes
Fig. 4

NanoString PanCancer Pathways® analysis (n = 20). a Volcano plot showing differentially expressed genes with linear fold change > 2 and p < 0.05 comparing SD+PD and PR. b Decreased CDKN2A expression (p = 0.02) in responders. c Increased CALML5 expression (p = 0.01) in responders

Further analysis using NanoString BC360™ analysis was performed for 11 patients (due to limited sample). Biologically significant pathways and single gene expression results are shown in Additional file 1: Figure S1. Samples are grouped based on the initial stage (stage II, stage III, and de novo stage IV), lines of therapy > 2, PAM50 molecular subtypes (basal, HER2+, luminal A, and luminal B), and TNBC subtypes (BLIA, BLIS, LAR, and MES). BC360™ analysis revealed diverse tumor and tumor microenvironment (TME) pathway signatures with no observable pattern (Additional file 2: Figure S2A). There was no clear association of these variables and response to therapy, with the exception of HER2-enriched subtype which was associated with treatment resistance (p = 0.02) (Additional file 2: Figure S2B).

Genomic mutation profiles

Nine patients had genomic mutation analysis through FoundationOne®. Additional file 3: Figure S3 shows the most frequent genomic alterations identified. Of the nine patients analyzed, two patients (3 and 16) carried mutations in the PI3K-Akt-mTOR pathway. Due to the limited sample size, the association of genomic alteration with clinical response or survival could not be assessed.


Activation of the PI3K/AKT pathway contributes to the resistance to anti-cancer agents including microtubule-targeting agents. Despite the high frequency of alterations of PIK3CA/AKT/mTOR pathway, the presence of these mutations does not translate to a significant response to single agent PI3K inhibitors in early clinical trials [43, 44]. This is likely attributed to multiple by-pass signaling pathways. We hypothesized that targeting both the microtubule cytoskeleton and the PI3K/AKT/mTOR pathway would lead to a synergistic anti-tumor effect. Our previous work showed synergistic inhibition of the PI3K/AKT/mTOR pathway, which resulted in an increased reduction of p-S6K1 and p-S6. The synergistic suppression of cell survival was found in a number of breast cancer cell lines in vitro and breast cancer mouse models in vivo [34].

The current study demonstrated that the combination of eribulin and everolimus is feasible and an effective treatment for patients with mTNBC. Everolimus 5 mg daily with eribulin 1.1 mg/m2 days 1 and 8 every 3 weeks was determined to be the RP2D doses [45]. Disease response rate was 36%. Tolerability of the combination improved after mandatory Dex mouthwash was added for dose level B1, which reconfirmed the SWISH data. Since 50% of DLTs in dose levels A1 and A2 were oral mucositis, the mandatory use of dexamethasone mouthwash may reduce DLTs in both dose levels.

Eribulin has been reported to have anti-tumor activity with a manageable tolerability profile with side effects consisting of neutropenia, fatigue, alopecia, nausea, and anemia. In addition, there was a low incidence of peripheral neuropathy [46,47,48]. The Eisai Metastatic Breast Cancer Study Assessing Physician’s Choice Verses E7389 (EMBRACE) clinical trial was a phase III trial of patients with heavily pretreated metastatic breast cancer. Participants received eribulin (E7389) monotherapy or treatment of physician’s choice (TPC). The patients in the trial received a median of four prior therapies. Improvement was seen in OS with HR 0.81, 95% CI [0.66–0.99], p = 0.041. Median OS was 13.1 months in patients receiving eribulin vs. 10.6 months in TPC [28]. This study led to the FDA approval of eribulin mesylate for the treatment of breast cancer in patients who had failed taxane- or anthracycline-based therapies.

The mTOR inhibitor everolimus has emerged as a potential combination therapy drug for the treatment of cancer unresponsive to conventional therapy [49]. When used alone, everolimus can induce increased levels of p-AKT via a negative feedback loop leading to resistance of cells to mTOR inhibitors [50, 51]. Dual blockade of mTOR and other PI3K pathway inhibitors results in synergistic decrease in cancer cell growth [33, 51, 52]. The PI3K pathway has been shown to play a critical role in TNBC. However, downstream of PI3K, mTOR inhibitor alone does not demonstrate clinical benefit. Studies combining chemotherapy with PI3K/AKT/mTOR pathway inhibitors have shown efficacy [38, 53, 54].

In a phase II trial of everolimus and carboplatin in metastatic TNBC, clinical benefit rate (CBR) was 36% and medical PFS was 3 months [38]. Other clinical trials have targeted different inhibitors in the PI3K pathway. Recently, the LOTUS trial studied the oral AKT inhibitor ipatasertib in TNBC. In this study, combination of ipatasertib and paclitaxel showed longer PFS compared to paclitaxel alone [53]. This improved PFS was observed particularly in patients with PIK3CA/AKT1/PTEN-altered tumors. The IPATunity130 trial is underway to confirm these findings [55].

In the NanoString analysis, we identified the following immune-related genes which were upregulated in patients who achieved partial responses: CD19, IL7R, IL6, and CCR7. Due to the limited sample size, the result is hypothesis-generating and requires further verification. This finding is consistent with the observation that upregulation of immune-related genes in TNBC correlates with better response to chemotherapy and improved survival [56, 57].

The current dose-defining study did not reveal the underlying mechanism predicting response to the combination of eribulin and everolimus. mRNA profiling and genomic analyses were performed, but with limited sample size. Although no clear conclusions were drawn, we observed an association between HER2-enriched subtype and poor response to therapy. Future studies targeting the PI3K-AKT-mTOR pathway will provide more insight into the molecular predictors of response.


The combination of eribulin and everolimus is feasible and an effective treatment in metastatic TNBC. This phase I clinical trial defines the RP2D as eribulin 1.1 mg/m2 (days 1 and 8) and everolimus 5 mg daily for further study. A post hoc analysis showed that participants that used dexamethasone mouthwash stayed on treatment for one additional cycle.

Availability of data and materials

Normalized mRNA expression data for NanoString PanCancer cohort is available in Additional file 4: Table S1, normalized mRNA expression data for the NanoString BC360 cohort is available in Additional file 5: Table S2, and available genomic alteration data is available in Additional file 6: Table S3.



Triple-negative breast cancer


Human epidermal growth factor receptor amplification


Metastatic TNBC


Overall survival


Poly ADP ribose polymerase


Programmed death 1


Programmed death ligand 1


Phosphatidylinositol-4, 5-bisphosphate 3-kinase, catalytic subunit, alpha


Phosphatase and tensin homolog


Epithelial-mesenchymal transition


Mesenchymal-epithelial transition


Mammalian target of rapamycin


Recommended phase II dose


Response rate


Progression-free survival


Absolute neutrophil count


Upper limit of normal


Toxicity equivalence range


Dose-limiting toxicities


Maximum tolerated dose


  1. 1.

    Carey LA, Perou CM, Livasy CA, Dressler LG, Cowan D, Conway K, Karaca G, Troester MA, Tse CK, Edmiston S. Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. JAMA. 2006;295(21):2492–502.

    CAS  Article  Google Scholar 

  2. 2.

    Tomao F, Papa A, Zaccarelli E, Rossi L, Caruso D, Minozzi M, Vici P, Frati L, Tomao S. Triple-negative breast cancer: new perspectives for targeted therapies. OncoTargets Ther. 2015;8:177.

    CAS  Article  Google Scholar 

  3. 3.

    Howlader N, Noone A, Krapcho M, Miller D, Bishop K, Kosary C, Yu M, Ruhl J, Tatalovich Z, Mariotto A. SEER Cancer Statistics Review, 1975–2014. Bethesda: National Cancer Institute; 2017.

    Google Scholar 

  4. 4.

    Lehmann BD, Bauer JA, Chen X, Sanders ME, Chakravarthy AB, Shyr Y, Pietenpol JA. Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies. J Clin Invest. 2011;121(7):2750–67.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Metzger-Filho O, Tutt A, de Azambuja E, Saini KS, Viale G, Loi S, Bradbury I, Bliss JM, Azim HA Jr, Ellis P, et al. Dissecting the heterogeneity of triple-negative breast cancer. J Clin Oncol. 2012;30(15):1879–87.

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Masuda H, Baggerly KA, Wang Y, Zhang Y, Gonzalez-Angulo AM, Meric-Bernstam F, Valero V, Lehmann BD, Pietenpol JA, Hortobagyi GN. Differential response to neoadjuvant chemotherapy among 7 triple-negative breast cancer molecular subtypes. Clin Cancer Res. 2013;19(19):5533–40.

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Burstein MD, Tsimelzon A, Poage GM, Covington KR, Contreras A, Fuqua SA, Savage MI, Osborne CK, Hilsenbeck SG, Chang JC. Comprehensive genomic analysis identifies novel subtypes and targets of triple-negative breast cancer. Clin Cancer Res. 2015;21(7):1688–98.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Liedtke C, Mazouni C, Hess KR, André F, Tordai A, Mejia JA, Symmans WF, Gonzalez-Angulo AM, Hennessy B, Green M. Response to neoadjuvant therapy and long-term survival in patients with triple-negative breast cancer. J Clin Oncol. 2008;26(8):1275–81.

    Article  PubMed  Google Scholar 

  9. 9.

    Rodler E, Korde L, Gralow J. Current treatment options in triple negative breast cancer. Breast Dis. 2011;32(1–2):99–122.

    Article  CAS  Google Scholar 

  10. 10.

    Robson M, Im S-A, Senkus E, Xu B, Domchek SM, Masuda N, Delaloge S, Li W, Tung N, Armstrong A. Olaparib for metastatic breast cancer in patients with a germline BRCA mutation. N Engl J Med. 2017;377(6):523–33.

    CAS  Article  PubMed  Google Scholar 

  11. 11.

    Robson ME, Im S-A, Senkus E, Xu B, Domchek SM, Masuda N, Delaloge S, Li W, Tung NM, Armstrong A. OlympiAD: phase III trial of olaparib monotherapy versus chemotherapy for patients (pts) with HER2-negative metastatic breast cancer (mBC) and a germline BRCA mutation (gBRCAm): J Clin Oncol. 2017;35(18_suppl).

  12. 12.

    Litton JK, Rugo HS, Ettl J, Hurvitz SA, Gonçalves A, Lee K-H, Fehrenbacher L, Yerushalmi R, Mina LA, Martin M. Talazoparib in patients with advanced breast cancer and a germline BRCA mutation. N Engl J Med. 2018;379(8):753–63.

    CAS  Article  PubMed  Google Scholar 

  13. 13.

    Nanda R, Chow LQ, Dees EC, Berger R, Gupta S, Geva R, Pusztai L, Pathiraja K, Aktan G, Cheng JD. Pembrolizumab in patients with advanced triple-negative breast cancer: phase Ib KEYNOTE-012 study. J Clin Oncol. 2016;34(21):2460–7.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Adams S, Schmid P, Rugo HS, Winer EP, Loirat D, Awada A, Cescon DW, Iwata H, Campone M, Nanda R, Hui R, Curigliano G, Toppmeyer D, O'Shaughnessy J, Loi S, Paluch-Shimon S, Tan AR, Card D, Zhao J, Karantza V, Cortés J. Pembrolizumab monotherapy for previously treated metastatic triple-negative breast cancer: cohort A of the phase II KEYNOTE-086 study. Ann Oncol. 2019;30(3):397–404.

    Article  Google Scholar 

  15. 15.

    Adams S, Loi S, Toppmeyer D, Cescon D, De Laurentiis M, Nanda R, Winer E, Mukai H, Tamura K, Armstrong AC. KEYNOTE-086 cohort B: pembrolizumab monotherapy for PD-L1–positive, previously untreated, metastatic triple-negative breast cancer (mTNBC). Clin Cancer Res. 2018;78(4 Supplement).

  16. 16.

    Emens LA, Braiteh FS, Cassier P, Delord J-P, Eder JP, Fasso M, Xiao Y, Wang Y, Molinero L, Chen DS. Inhibition of PD-L1 by MPDL3280A leads to clinical activity in patients with metastatic triple-negative breast cancer (TNBC): AACR. Cancer Res. 2015;75(9 Supplement):2015.

  17. 17.

    Emens LA, Cruz C, Eder JP, Braiteh F, Chung C, Tolaney SM, Kuter I, Nanda R, Cassier PA, Delord J-P. Long-term clinical outcomes and biomarker analyses of atezolizumab therapy for patients with metastatic triple-negative breast cancer: a phase 1 study. JAMA Oncol. 2019;5(1):74–82.

    Article  PubMed  Google Scholar 

  18. 18.

    Schmid P, Adams S, Rugo HS, Schneeweiss A, Barrios CH, Iwata H, Diéras V, Hegg R, Im S-A, Shaw Wright G. Atezolizumab and nab-paclitaxel in advanced triple-negative breast cancer. N Engl J Med. 2018;379(22):2108–21.

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Andre F, Campone M, Ciruelos EM, Iwata H, Loibl S, Rugo HS, Wilke C, Mills D, Chol M, Longin A-S. Alpelisib for PIK3CA-Mutated, Hormone Receptor–Positive Advanced Breast Cancer. N Engl J Med 2019;380:1929–40.

    Article  PubMed  Google Scholar 

  20. 20.

    Millis SZ, Gatalica Z, Winkler J, Vranic S, Kimbrough J, Reddy S, O’Shaughnessy JA. Predictive biomarker profiling of > 6000 breast cancer patients shows heterogeneity in TNBC, with treatment implications. Clin Breast Cancer. 2015;15(6):473–481. e473.

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Network CGA. Comprehensive molecular portraits of human breast tumours. Nature. 2012;490(7418):61.

    Article  CAS  Google Scholar 

  22. 22.

    Leroy C, Ramos P, Cornille K, Bonenfant D, Fritsch C, Voshol H, Bentires-Alj M. Activation of IGF1R/p110β/AKT/mTOR confers resistance to α-specific PI3K inhibition. Breast Cancer Res. 2016;18(1):41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Wein L, SJTB L. Mechanisms of resistance of chemotherapy in early-stage triple negative breast cancer (TNBC). Breast. 2017;34:S27–30.

    Article  PubMed  Google Scholar 

  24. 24.

    Jensen JD, Laenkholm A-V, Knoop A, Ewertz M, Bandaru R, Liu W, Hackl W, Barrett JC, HJCCR G. PIK3CA mutations may be discordant between primary and corresponding metastatic disease in breast cancer. Clin Cancer Res. 2011;17(4):667–77.

    Article  CAS  Google Scholar 

  25. 25.

    Hirata Y, Uemura D. Halichondrins-antitumor polyether macrolides from a marine sponge. Pure Appl Chem. 1986;58(5):701–10.

    CAS  Article  Google Scholar 

  26. 26.

    Kuznetsov G, Towle MJ, Cheng H, Kawamura T, TenDyke K, Liu D, Kishi Y, Melvin JY, Littlefield BA. Induction of morphological and biochemical apoptosis following prolonged mitotic blockage by halichondrin B macrocyclic ketone analog E7389. Cancer Res. 2004;64(16):5760–6.

    CAS  Article  PubMed  Google Scholar 

  27. 27.

    Yoshida T, Ozawa Y, Kimura T, Sato Y, Kuznetsov G, Xu S, Uesugi M, Agoulnik S, Taylor N, Funahashi Y. Eribulin mesilate suppresses experimental metastasis of breast cancer cells by reversing phenotype from epithelial–mesenchymal transition (EMT) to mesenchymal–epithelial transition (MET) states. Br J Cancer. 2014;110(6):1497.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  28. 28.

    Cortes J, O’Shaughnessy J, Loesch D, Blum JL, Vahdat LT, Petrakova K, Chollet P, Manikas A, Diéras V, Delozier T. Eribulin monotherapy versus treatment of physician’s choice in patients with metastatic breast cancer (EMBRACE): a phase 3 open-label randomised study. Lancet. 2011;377(9769):914–23.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Boulay A, Lane HA. The mammalian target of rapamycin kinase and tumor growth inhibition. In: Targeted interference with signal transduction events: Springer; Recent Results Cancer Res. 2007;172:99–124.

  30. 30.

    Ellard SL, Clemons M, Gelmon KA, Norris B, Kennecke H, Chia S, Pritchard K, Eisen A, Vandenberg T, Taylor M, et al. Randomized phase II study comparing two schedules of everolimus in patients with recurrent/metastatic breast cancer: NCIC Clinical Trials Group IND.163. J Clin Oncol. 2009;27(27):4536–41.

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Boulay A, Rudloff J, Ye J, Zumstein-Mecker S, O’Reilly T, Evans DB, Chen S, Lane HA. Dual inhibition of mTOR and estrogen receptor signaling in vitro induces cell death in models of breast cancer. Clin Cancer Res. 2005;11(14):5319–28.

    CAS  Article  PubMed  Google Scholar 

  32. 32.

    Baselga J, Campone M, Piccart M, Burris HA 3rd, Rugo HS, Sahmoud T, Noguchi S, Gnant M, Pritchard KI, Lebrun F, et al. Everolimus in postmenopausal hormone-receptor-positive advanced breast cancer. N Engl J Med. 2012;366(6):520–9.

    CAS  Article  PubMed  Google Scholar 

  33. 33.

    O’Reilly KE, Rojo F, She Q-B, Solit D, Mills GB, Smith D, Lane H, Hofmann F, Hicklin DJ, Ludwig DL. mTOR inhibition induces upstream receptor tyrosine kinase signaling and activates Akt. Cancer Res. 2006;66(3):1500–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Marcinkowski E, Luu T, Yuan Y, Mortimer J, Leong L, Portnow J, Xing Q, Wen W, Yim J. Abstract P6-13-17: the combination of eribulin and everolimus results in enhanced suppression of tumors in mouse models of triple negative breast cancer. Cancer Res. 2016;76(4 Supplement).

  35. 35.

    Jerusalem G, Fasolo A, Dieras V, Cardoso F, Bergh J, Vittori L, Zhang Y, Massacesi C, Sahmoud T, Gianni L. Phase I trial of oral mTOR inhibitor everolimus in combination with trastuzumab and vinorelbine in pre-treated patients with HER2-overexpressing metastatic breast cancer. Breast Cancer Res Treat. 2011;125(2):447–55.

    CAS  Article  PubMed  Google Scholar 

  36. 36.

    Hurvitz SA, Andre F, Jiang Z, Shao Z, Mano MS, Neciosup SP, Tseng L-M, Zhang Q, Shen K, Liu D. Combination of everolimus with trastuzumab plus paclitaxel as first-line treatment for patients with HER2-positive advanced breast cancer (BOLERO-1): a phase 3, randomised, double-blind, multicentre trial. Lancet Oncol. 2015;16(7):816–29.

    CAS  Article  PubMed  Google Scholar 

  37. 37.

    Morrow PK, Wulf GM, Ensor J, Booser DJ, Moore JA, Flores PR, Xiong Y, Zhang S, Krop IE, Winer EP. Phase I/II study of trastuzumab in combination with everolimus (RAD001) in patients with HER2-overexpressing metastatic breast cancer who progressed on trastuzumab-based therapy. J Clin Oncol. 2011;29(23):3126.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  38. 38.

    Singh JC, Novik Y, Stein S, Volm M, Meyers M, Smith J, Omene C, Speyer J, Schneider R, Jhaveri K. Phase 2 trial of everolimus and carboplatin combination in patients with triple negative metastatic breast cancer. Breast Cancer Res. 2014;16(2):R32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. 39.

    Schwarzlose-Schwarck S, Scholz CW, Regierer AC, Martus P, Neumann C, Habbel P, Liu H, Zang C, Schefe J-H, Schulz C-O. The mTOR inhibitor everolimus in combination with carboplatin in metastatic breast cancer–a phase I trial. Anticancer Res. 2012;32(8):3435–41.

    CAS  PubMed  Google Scholar 

  40. 40.

    Rugo HS, Seneviratne L, Beck JT, Glaspy JA, Peguero JA, Pluard TJ, Dhillon N, Hwang LC, Nangia C, Mayer IA. Prevention of everolimus-related stomatitis in women with hormone receptor-positive, HER2-negative metastatic breast cancer using dexamethasone mouthwash (SWISH): a single-arm, phase 2 trial. Lancet Oncol. 2017;18(5):654–62.

    CAS  Article  PubMed  Google Scholar 

  41. 41.

    Parsons HA, Beaver JA, Cimino-Mathews A, Ali SM, Axilbund J, Chu D, Connolly RM, Cochran RL, Croessmann S, Clark TA, et al. Individualized molecular analyses guide efforts (IMAGE): a prospective study of molecular profiling of tissue and blood in metastatic triple-negative breast cancer. Clin Cancer Res. 2017;23(2):379–86.

    CAS  Article  PubMed  Google Scholar 

  42. 42.

    Chumsri S, Asleh K, Brauer H, Mashadi-Hossein A, Lauttia L, Lindman H, Nielsen T, Joensuu H, Thompson E. Abstract P3-11-05: predictive gene signatures of adjuvant capecitabine benefit in triple negative breast cancer in the FinXX trial. Cancer Res.2019;79(4 Supplement).

  43. 43.

    Arsenic R, Lehmann A, Budczies J, Koch I, Prinzler J, Kleine-Tebbe A, Schewe C, Loibl S, Dietel M, Denkert C. Analysis of PIK3CA mutations in breast cancer subtypes. Appl Immunohistochem Mol Morphol. 2014;22(1):50–6.

    Article  PubMed  Google Scholar 

  44. 44.

    LoRusso PM. Inhibition of the PI3K/AKT/mTOR pathway in solid tumors. J Clin Oncol. 2016;34(31):3803–15.

    Article  PubMed  PubMed Central  Google Scholar 

  45. 45.

    Blanchard MS, Longmate JA. Toxicity equivalence range design (TEQR): a practical phase I design. Contemp Clin Trials. 2011;32(1):114–21.

    Article  PubMed  Google Scholar 

  46. 46.

    Vahdat LT, Pruitt B, Fabian CJ, Rivera RR, Smith DA, Tan-Chiu E, Wright J, Tan AR, Dacosta NA, Chuang E, et al. Phase II study of eribulin mesylate, a halichondrin B analog, in patients with metastatic breast cancer previously treated with an anthracycline and a taxane. J Clin Oncol. 2009;27(18):2954–61.

    CAS  Article  PubMed  Google Scholar 

  47. 47.

    Cortes J, Vahdat L, Blum JL, Twelves C, Campone M, Roche H, Bachelot T, Awada A, Paridaens R, Goncalves A, et al. Phase II study of the halichondrin B analog eribulin mesylate in patients with locally advanced or metastatic breast cancer previously treated with an anthracycline, a taxane, and capecitabine. J Clin Oncol. 2010;28(25):3922–8.

    CAS  Article  PubMed  Google Scholar 

  48. 48.

    Aogi K, Iwata H, Masuda N, Mukai H, Yoshida M, Rai Y, Taguchi K, Sasaki Y, Takashima S. A phase II study of eribulin in Japanese patients with heavily pretreated metastatic breast cancer. Ann Oncol. 2012;23(6):1441–8.

    CAS  Article  PubMed  Google Scholar 

  49. 49.

    Seto B. Rapamycin and mTOR: a serendipitous discovery and implications for breast cancer. Clin Transl Med. 2012;1(1):29.

    Article  PubMed  PubMed Central  Google Scholar 

  50. 50.

    Wan X, Helman LJ. The biology behind mTOR inhibition in sarcoma. Oncologist. 2007;12(8):1007–18.

    Article  PubMed  Google Scholar 

  51. 51.

    Wang X, Yue P, Kim YA, Fu H, Khuri FR, Sun SY. Enhancing mammalian target of rapamycin (mTOR)-targeted cancer therapy by preventing mTOR/raptor inhibition-initiated, mTOR/rictor-independent Akt activation. Cancer Res. 2008;68(18):7409–18.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  52. 52.

    Sun SY, Rosenberg LM, Wang X, Zhou Z, Yue P, Fu H, Khuri FR. Activation of Akt and eIF4E survival pathways by rapamycin-mediated mammalian target of rapamycin inhibition. Cancer Res. 2005;65(16):7052–8.

    CAS  Article  PubMed  Google Scholar 

  53. 53.

    Kim S-B, Dent R, Im S-A, Espié M, Blau S, Tan AR, Isakoff SJ, Oliveira M, Saura C, Wongchenko MJ. Ipatasertib plus paclitaxel versus placebo plus paclitaxel as first-line therapy for metastatic triple-negative breast cancer (LOTUS): a multicentre, randomised, double-blind, placebo-controlled, phase 2 trial. Lancet Oncol. 2017;18(10):1360–72.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  54. 54.

    Dent RA, Kim S-B, Im S-A, Espie M, Blau S, Tan AR, Isakoff S, Oliveira M, Saura C, Wongchenko M. LOTUS (NCT02162719): a double-blind placebo (PBO)-controlled randomized phase II trial of first-line ipatasertib (IPAT)+ paclitaxel (P) for metastatic triple-negative breast cancer (TNBC). J Clin Oncol. 2018;36(15_suppl):1008.

  55. 55.

    Dent R, Kim S-B, Oliveira M, Isakoff SJ, Barrios CH, O’Shaughnessy J, Lu X, Wongchenko M, Bradley D, Mani A. IPATunity130: a pivotal randomized phase III trial evaluating ipatasertib (IPAT)+ paclitaxel (PAC) for PIK3CA/AKT1/PTEN-altered advanced triple-negative (TN) or hormone receptor-positive HER2-negative (HR+/HER2–) breast cancer (BC). J Clin Oncol. 2018;36(15_suppl).

  56. 56.

    Denkert C, von Minckwitz G, Brase JC, Sinn BV, Gade S, Kronenwett R, Pfitzner BM, Salat C, Loi S, Schmitt WD, et al. Tumor-infiltrating lymphocytes and response to neoadjuvant chemotherapy with or without carboplatin in human epidermal growth factor receptor 2-positive and triple-negative primary breast cancers. J Clin Oncol. 2015;33(9):983–91.

    CAS  Article  PubMed  Google Scholar 

  57. 57.

    Yuan Y, Yost S, Chang C, Yoh K, Johnson R, Schmolze D, Liang J, Hutchinson K. Abstract PD5-07: comprehensive profiling of poor-risk paired primary and recurrent triple-negative breast cancers reveals immune phenotype shifts. Cancer Res. 2019;79(4 Supplement).

Download references


The authors gratefully acknowledge Novartis and Eisai for the funding and Eisai for the analysis of correlatives. The research reported in this publication includes the work performed at the Pathology and Biostatistics Core of City of Hope National Cancer Center, supported by the National Cancer Institute (NCI) under award number P30CA033572. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NCI.


This study was supported by the STOP Cancer Foundation (Yuan Yuan), NIH K-12 Career Development Award K12CA001727 (Joanne Mortimer MD).

Author information




YY made substantial contributions to the conception and design, acquisition of the data, analysis and interpretation of the data, drafting and revising of the manuscript, and final approval for publication. JSL contributed to the data analysis and manuscript preparation. SEY contributed to the database management, chart review, data analysis, and manuscript preparation and revision. SB performed the statistical analysis. DS performed the biomarker measurements. HY and RP performed the NanoString analysis. KR, AT, and NM contributed to the data collection. JP, TL, and JM assisted with the patient identification and manuscript revision. WW and JHY performed the preclinical studies. HAB and YR assisted in the NanoString analysis. YY is the guarantor and agrees to be accountable for all aspects of the work. All authors read and approved the final manuscript.

Authors’ information

Not applicable

Corresponding authors

Correspondence to Joanne Mortimer or Yuan Yuan.

Ethics declarations

Ethics approval and consent to participate

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all participants included in the study. All tumor specimens were identified through a City of Hope IRB-approved retrospective protocol from patients consented to City of Hope Biorepository Protocol.

Consent for publication

Not applicable

Competing interests

Dr. Yuan has contracted research sponsored by Merck, Eisai, Novartis, Puma, Genentech, and Pfizer; is a consultant for Puma; and is on the Speakers Bureau for Eisai. The other authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1: Figure S1. BC360™ analysis (n=11): A) Relevant gene signatures and biologically significant single genes are shown. Samples were grouped based on stage (stage II, stage III, and de novo stage IV), lines of therapy >2, molecular subtypes (PAM50: basal, HER2+, luminal A, and luminal B); and TNBC subtypes: BLIA, BLIS, LAR, and MES. Signatures scores are mapped to quantiles of TCGA with a 0.5 value approximating the median TCGA value.

Additional file 2: Figure S2. BC360™ analysis (n=11): A) Forest plot showing differentially expressed signatures comparing SD+PD and PR groups; B) HER2-enriched signature is up-regulated in SD+PD compared with PR group (P=0.02).

Additional file 3: Figure S3. Tile plot showing genomic mutations in mTNBC patients (n=9).

Additional file 4: Table S1. Normalized mRNA expression data for NanoString PanCancer Pathways® cohort (n=20).

Additional file 5: Table S2. Normalized mRNA expression data for NanoString BC360™ cohort (n=11).

Additional file 6: Table S3. Genomic alteration data for TNBC patients with genomic reports (n=9).

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Lee, J.S., Yost, S.E., Blanchard, S. et al. Phase I clinical trial of the combination of eribulin and everolimus in patients with metastatic triple-negative breast cancer. Breast Cancer Res 21, 119 (2019).

Download citation


  • Phase I trial
  • Eribulin
  • Everolimus
  • Metastatic TNBC