- Research article
- Open Access
ESR1 mutations are frequent in newly diagnosed metastatic and loco-regional recurrence of endocrine-treated breast cancer and carry worse prognosis
Breast Cancer Research volume 22, Article number: 16 (2020)
Emerging mutations in the ESR1 gene that encodes for the estrogen receptor (ER) are associated with resistance to endocrine therapy. ESR1 mutations rarely exist in primary tumors (~ 1%) but are relatively common (10–50%) in metastatic, endocrine therapy-resistant cancers and are associated with a shorter progression-free survival. Little is known about the incidence and clinical implication of these mutations in early recurrence events, such as local recurrences or newly diagnosed metastatic disease.
We collected 130 archival tumor samples from 103 breast cancer patients treated with endocrine therapy prior to their local/metastatic recurrence. The cohort consisted of 41 patients having at least 1 sample from local/loco-regional recurrence and 62 patients with metastatic disease (of whom 41 newly diagnosed and 28 with advanced disease). The 5 most common ESR1 hotspot mutations (D538G, L536R, Y537S/N/C) were analyzed either by targeted sequencing or by droplet digital PCR. Progression-free survival (PFS), disease-free survival (DFS), and distant recurrence-free survival (DRFS) were statistically tested by Kaplan-Meier analysis.
The prevalence of ESR1 mutations was 5/41 (12%) in newly diagnosed metastatic patients and 5/28 (18%) for advanced metastases, detected at allele frequency > 1%. All mutations in advanced metastases were detected in patients previously treated with both tamoxifen (TAM) and aromatase inhibitors (AI). However, in newly diagnosed metastatic patients, 4/5 mutations occurred in patients treated with TAM alone. PFS on AI treatment in metastatic patients was significantly shorter for ESR1 mutation carriers (p = 0.017). In the local recurrence cohort, ESR1 mutations were identified in 15/41 (36%) patients but only 4/41 (10%) were detected at allele frequency > 1%. Again, most mutations (3/4) were detected under TAM monotherapy. Notably, 1 patient developed ESR1 mutation while on neoadjuvant endocrine therapy. DFS and DRFS were significantly shorter (p = 0.04 and p = 0.017, respectively) in patients that had ESR1 mutations (> 1%) in their loco-regional recurrence tumor.
Clinically relevant ESR1 mutations are prevalent in newly diagnosed metastatic and local recurrence of endocrine-treated breast cancer. Since local recurrences are amenable to curative therapy, these mutations may inform the selection of subsequent endocrine therapies.
Hormone receptor-positive (HR+) breast cancers, expressing the estrogen and progesterone receptors, account for about 70% of all breast cancers . Estrogen receptor (ER) is a transcription factor involved in cell proliferation and activation. Endocrine therapy is the mainstay of treatment in both local and metastatic HR+ tumors and includes ER inhibition by either ER modulators (i.e., tamoxifen (TAM)), ER degraders (i.e., fulvestrant), or estrogen deprivation by aromatase inhibitors (AI). Approximately 40% of patients diagnosed with local/loco-regional HR+ breast cancer treated with endocrine therapy will eventually develop recurrent disease [2, 3]. Recurrence events can be loco-regional metastases (about 3–8% of cases [4,5,6]), distant metastases, or both. The occurrence of loco-regional events increases the risk for the development of incurable distant recurrence and is associated with a poorer overall prognosis [7,8,9].
Among the various acquired endocrine resistance mechanisms, somatic mutations in the ER gene ligand-binding domain region (ESR1-LBD) had recently come under the spotlight through the advances of next-generation sequencing (NGS) technologies [10,11,12,13]. In vitro experiments have demonstrated that these ESR1-LBD mutations result in a ligand-independent constitutively activated ER, leading to proliferation and decreased sensitivity to endocrine treatments [10, 11, 13,14,15,16]. Since late 2013, there have been accumulating reports of ESR1-specific mutations leading to endocrine therapy resistance [10,11,12,13, 15, 17,18,19,20,21,22,23,24,25,26,27,28,29]. These mutations rarely exist (0–3%) in primary tumors [11, 15, 17, 24, 25] but are relatively common in metastatic endocrine therapy-resistant breast cancer lesions, with a wide-ranging prevalence of 6–55% [10,11,12,13, 15, 17,18,19,20,21,22,23,24,25, 27, 29]. The prevalence of ESR1 mutations is governed by the sensitivity of detection methods as well as by the load of endocrine treatments prior to testing. Advanced digital droplet PCR (ddPCR) methods are more sensitive than NGS technologies [25, 26]. The ddPCR method combined with the high sensitivity to detect these mutations in cell-free DNA (cfDNA) isolated from the plasma [25, 30] clearly leverages the clinical implications of these mutations. A higher abundance of ESR1 mutations has been described among metastatic patients treated with multiple lines of endocrine therapy (20–55%) as opposed to early metastatic patients (6–7%) [11, 18], supporting the theory that mutated clones are selected over treatment lines [31,32,33]. Additional studies are necessary to better understand the prevalence of ESR1 mutations along the various stages of recurrent disease and their prognostic implications.
In this study, we aimed to describe the prevalence of ESR1 mutations in early recurrence events, local recurrence, and newly diagnosed metastasis compared to heavily treated metastatic disease. We further investigated the associations with previous treatments and clinical outcomes in each subgroup. Our data demonstrate that ESR1 mutations are present at newly diagnosed metastatic and local recurrence events and their presence is associated with survival. This work highlights the importance of testing ESR1 mutations at the early stages of recurrence as this may determine the patients’ management including follow-up and changes in the treatment plan.
Breast cancer samples and clinical data
A retrospective cohort of hormone receptor-positive (HR+) breast cancer patients experiencing either local or metastatic recurrence was assembled based on available archival samples. All clinical data were obtained from the clinical records of the patients by an expert breast oncologist. This included age, TNM staging, grade, immunohistochemistry scores for estrogen receptor (ER), progesterone receptor (PR), human epidermal growth receptor 2 (HER2), and treatment lines. Outcome information included the date of next local/regional/metastatic recurrence, date of death, and date of the last follow-up. ER and PR positivity were determined based on local pathology practice (> 1% of positively stained cells). Archival formalin-fixed and paraffin-embedded (FFPE) tissue blocks were obtained from the Sheba Medical Center Pathology Institute. A total of 130 archival tumor samples were collected from 103 breast cancer patients who were treated with endocrine therapy prior to their recurrence and provided consent to sample and data collection. For 11 patients, matched samples from the primary tumor were available. In addition, for 14 patients, multiple samples from several recurrence events were collected. The cohort consisted of 41 patients having at least 1 sample from local (ipsilateral or contralateral breast) or regional (axillary nodes) recurrence and 62 patients with metastatic samples. The metastatic samples included 41 samples from newly diagnosed metastases and 28 samples from advanced metastatic disease. Samples from 1 normal breast reduction and 4 normal breast tissue adjacent to fibroadenomas served as controls. This project and tissue collection were approved by the institutional review board.
DNA purification from FFPE samples
Tumor samples were sectioned and stained for hematoxylin and eosin to evaluate tumor cell percentage in the slide. Slides were reviewed by a pathologist to enrich for 70% cancer cellularity. One to 10 10 μM sections of the FFPE tumor samples were macro-dissected to enrich for tumor cellularity and deparaffinized at 90 °C for 5 min. Tumor DNA was isolated using the All Prep DNA/RNA FFPE Kit (QIAGEN) following the manufacturer’s instructions and stored at − 20 °C. DNA concentration was measured using the Qubit HS dsDNA kit (Invitrogen).
ESR1 amplicon sequencing
Hotspot mutations in the ESR1 LBD region (527aa to 557aa) were identified by deep sequencing of a 129-bp amplicon at a coverage of about X10,000-X30,0000 using an Illumina platform. Ten nanograms of genomic DNA purified from FFPE samples was PCR amplified using the following primer: ESR1 F: AACAAAGGCATGGAGCATCTG, ESR1 R: CTCCACGGATGCCCCTC. The amplified PCR product was separated on and purified from a 2% agarose gel using a QIAGEN gel purification kit. For each sample, DNA concentration was measured by the Qubit HS dsDNA kit (Invitrogen). Library preparation steps were as follows: 50 ng of the PCR product was used for end repair and A-tail using NEB End prep enzyme mix (E7422s/E6090) for 20 min at 25 °C and 20 min at 72 °C. The DNA was purified using AMPure beads (Beckman Coulter), and ligation reaction was performed by T4 DNA quick ligase and index-oligo adaptor for Illumina platform for 15 min at 25 °C. The ligation product was cleaned again with AMPure beads and amplified by Illumina primers and hotstart DNA polymerase (Promega). The final library size was verified by TapeStation (Agilent). Paired-end sequencing (2 × 100 bp) was performed using Illumina HiSeq2500 or MiSeq (reagent micro kit, v2). Mutations were validated by either repeating library preparation and sequencing, or Droplet Digital™ PCR (ddPCR) (Bio-Rad).
Sequencing data analysis
Sequence reads were mapped to reference human genome (hg19) using the NOVOALIGN. Five FFPE control samples (four normal breast adjacent to fibroadenomas and one normal breast reduction) were included in this study and were used for modeling statistical errors rates in each sequence read position. Under the assumption of a normal distribution for each sequence read position, only positions having non-reference allele frequency > 3σ (standard deviation) were reported as events. As 10 ng genomic DNA represents the content of ~ 1600 different diploid female human cells, we limited our sequence results to samples harboring ≥ 1% altered sequence reads.
ddPCR for ESR1 mutations detection
Bio-Rad QX100 Droplet Digital PCR (ddPCR) System was used for testing mutation abundance. Validation of the sequencing data was performed with primers and probes designed for D538G and wild type (WT). WT probe: CCCCTCTATGaCCTGCT-HEX, D538G mutant: CTCTATGgCCTGCTGC-FAM 900 nM for ESR1 F primer: TACAGCATGAAGTGCAAG, and ESR1 R primer: TGGGCGTCCAGCA were also used. The local recurrence cohort was examined using Bio-Rad-specific kits for D538G, L536R, and Y537S/N/C mutations. Digital PCR conditions were optimized with a temperature gradient to identify the optimal annealing/extension temperature on a QX200 ddPCR system (Bio-Rad) using TaqMan chemistry. Ten to 50 ng DNA from FFPE samples were used in each reaction, with the addition of 10 μl of ddPCR Supermix for probes (no dUTP) (Bio-Rad) and 250 nM TaqMan WT probe and 250 nM TaqMan D538G probe in a volume of 20 μl for each reaction. The emulsified PCR reaction was partitioned into ~ 14,000 droplets per sample in a QX100 droplet generator according to the manufacturer’s instructions.
Quantitative ddPCR analysis
Plates were read on a Bio-Rad QX100 droplet reader using QuantaSoft v1.6.6.0320 software (Bio-Rad). At least two negative control wells with no DNA were included in every run and one positive sample for the mutant (using gBLocks from IDT of purified mutated FFPE DNA sample). A sample was considered mutation positive if it contained three or more mutant droplets. The detection limit was 0.1%. The results are reported as a fractional abundance of mutant DNA alleles to total (mutant plus WT) DNA alleles.
ESR1 mutation status was defined as a binary parameter (mutated at any AF vs. WT or AF > 1% vs. AF < 1% that includes WT). Two-tailed p values were considered significant if p < 0.05. The dissimilarity between the percentages of censored cases was tested by chi-square tests. The normal distribution of the clinical parameters was tested for by Kolmogorov-Smirnov test. To determine if there were differences between the groups (ESR1 mutated vs. WT) in terms of the clinical parameters, we used the appropriate tests depending on the covariate type. An independent-samples t test was run for the normally distributed parameter (age). The non-parametric independent-samples Mann-Whitney test was used for clinical parameters that were not normally distributed (duration of endocrine treatment post-recurrence). The Fisher’s exact test was used for categorical covariates (stage, lymph node status, local recurrence type—local or regional). A chi-square test for the association was conducted between the mutation group and clinical parameters. Survival analyses were conducted by Kaplan-Meier survival analyses using the log rank (Mantel-Cox) test. Progression-free survival (PFS) was calculated as the time from AI treatment to any recurrence or death event. Disease-free survival (DFS) was calculated as the time from the tested local recurrence to any recurrence or death event. Distant recurrence-free survival (DRFS) was calculated as the time from either diagnosis or from the tested local recurrence to any distant recurrence or death event. Univariate Cox regression was used to calculate the hazard ratio for each parameter. Data analysis was performed using Statistical Package for the Social Sciences (SPSS), version 25 (IBM SPSS Statistics, Armonk, NY, USA) or with MATLAB® and Statistics Toolbox Release 2016b, The MathWorks, Inc., using the LogRank and KMPLOT functions by G. Cardillo.
We assembled 2 cohorts of recurrent breast cancer patients: a cohort of 62 patients with metastatic disease and a cohort of 41 breast cancer patients with local/loco-regional recurrence. All patients had ER-positive disease in both primary and recurrent lesions and were subjected to endocrine therapy prior to the recurrent tested lesions.
Prevalence of ESR1 mutations in metastatic recurrence samples and their clinical significance
In total, we tested 41 FFPE samples from newly diagnosed metastases and 28 samples from advanced metastatic lesions (Fig. 1a) obtained from 62 patients. Prior endocrine treatments at each stage (either adjuvant or metastatic) are noted in the lower bars for each patient (Fig. 1a). For 4 patients, an additional sample from the primary tumor was available and tested. Patients’ characteristics are presented in Table 1.
ESR1 hotspot mutations were found in 10/62 (16%) of the tested patients. Nine of 10 mutations were in D538G, and 1/10 mutation was in L536R. Mutations were detected in liver metastasis (4/10), bone metastasis (3/10), skin (1/10), mediastinum (1/10), and brain (1/10). To the best of our knowledge, ESR1 mutations were not described before in brain metastasis . To validate the sequencing results and allele frequencies, ddPCR analyses were performed on the mutated samples, resulting in a high concordance of allele frequencies (AF) of the mutated clones between both methods (Additional file 1: Table S1).
In line with previous findings [11, 18], ESR1 mutation prevalence was lower among newly diagnosed metastases (5/41; 12%) and higher in advanced disease (5/28; 17%) (not significant by Fisher’s exact test) (Fig. 1b). Notably, 4/5 patients harboring ESR1 mutations in newly diagnosed metastases (Met3, Met5, Met73, Met76) have been treated with TAM only as an adjuvant therapy without AI exposure. Mutated samples at advanced metastatic stages were detected after both TAM and AI treatment (Fig. 1b).
Matched primary tumors were available for four patients (Met5, Met9, Met24, Met34), two from ESR1-WT metastatic patients, and two from ESR1-mutated metastatic patients. The primary tumor of patient Met5 was positive for D538G mutation (AF of 22%, detected by ddPCR). The frequency of ESR1 mutation in the metastatic sample was at AF of 39%, higher than in the primary tumor. Recurrence of metastatic disease for patient Met5 occurred early at 1.5 years post-surgery, while on TAM treatment.
To examine the prognostic significance of ESR1 mutations, we performed a survival analysis and tested the interaction with other clinical parameters. No dissimilarity between the percentages of censored cases between the ESR1 mutant and WT groups was found. No clinical parameters were significantly different between the groups (unpaired t test for age and chi-square test for other categorical parameters). DFS from the primary tumor to metastatic recurrence was similar for both mutant and WT cohorts. There was a trend for worse overall survival from the time of metastatic recurrence in the ESR1 mutant group, which was not statistically different (Additional file 1: Figure S1), possibly due to the small sample size. However, PFS on AI treatment was significantly shorter in the ESR1-mutated patients, four of which were never previously treated with aromatase inhibitors (log rank p value = 0.017; median PFS 3 months for mutation carriers vs. 15 months for no mutation Cox hazard ratio 3.1 [95% confidence interval 1.1–8.3]) (Fig. 1c). These results are in line with previous observations that patients harboring ESR1 mutations demonstrate lower progression survival rates under AI .
ESR1 mutations are prevalent in local recurrence and carry worse prognosis
To test the prevalence of ESR1 mutations, in the context of local recurrence, we assembled a cohort of 41 patients who experienced at least 1 local or loco-regional HR+ breast cancer recurrence (Fig. 2a). Patient characteristics are detailed in Table 2.
All patients were treated in a curative intent for their local recurrence (surgery and if appropriate—radiation therapy). Additional primary tumors were available for 7 patients, and samples from a later metastatic recurrence were available for 4 patients. Two patients had samples from more than 1 loco-regional recurrence. One patient had undergone neoadjuvant endocrine treatment, and samples from pre- and post-treatment were available. Endocrine treatment before the first tested local recurrence biopsy is noted in the lower bars for each patient (Fig. 2a).
ESR1 mutations were examined using hotspot-specific ddPCR assays performed on the FFPE samples. This method is more sensitive than NGS, with lower limits of detection of 0.05% [25, 26]. The detection limit in our analysis was set to 0.1%.
ESR1 mutations were detected at any AF above the detection limit, in 15/41 (36%) patients with the D538G mutation being the most prevalent occurring in 14/15 patients. Y537C was detected in 1 patient while Y537S was detected together with D538G in 3 patients (Fig. 2a). ESR1 mutations at local recurrence were mostly found in the first local recurrence. For 2 patients with ESR1 mutation, only the second local recurrence was available. Interestingly, 1 patient had 4 available local recurrence samples, in which the first 3 were ESR1-WT and only the fourth recurrence harbored ESR1 mutation.
ESR1 mutated with AF greater than 1% were observed only in 4/41 (9.7%) patients. This cutoff was used for the sequencing data in the metastatic cohort. In line with the findings in the newly diagnosed metastatic cohort, mutations in the local recurrence samples were detected under TAM treatment alone, with no previous AI exposure. Mutations in TAM only-treated patients (23 patients) were found at any AF in 9/23 patients and at AF > 1% in 3/23 patients (Fig. 2b). There was no significant difference between patients developing mutations on TAM vs. AI/AI+TAM (Fisher’s exact test p = 0.75).
Matched primary tumors were available for seven patients in this cohort. One patient (LR32) harbored D538G mutation in the primary tumor, which reappeared in two local recurrences after 7 years and 16 years. Interestingly, the mutation AF in the primary tumor was 1.8% and remained at a similar level of AF (around 1% or less) in both local recurrences. This patient did not develop a metastatic disease, and her disease is stable for over 20 years.
Notably, patient LR15 was treated with endocrine neoadjuvant therapy (TAM for 2.5 months and AI for 18 months) after which she underwent definitive surgery. While no mutation was detected in the pre-treatment primary tumor, the post-treatment specimen harbored both D538G and Y537S mutations with high AF (35%). Although it is unlikely that with this high AF, the negative finding in the pre-treated primary tumor is due to sub-sampling, we cannot exclude the pre-existence of the mutation in very low AF. Following additional adjuvant AI therapy for 3.5 years, the patient had a loco-regional recurrence harboring the same mutations with similar AF. While the neoadjuvant treatment period was longer than the usual period (~ 6–12 months), this finding demonstrates that ESR1 mutations can be selected upon neoadjuvant hormonal therapy.
To explore the prognostic and clinical implications of ESR1 mutations in loco-regional recurrences, we performed survival analyses and tested the interaction with other clinical parameters. First, survival events were compared between patients with a mutation at any AF and without a mutation. In this case, the differences in survival distributions between the groups were not statistically significant (log rank test, p value > 0.05) (Additional file 1: Figure S2). There was no statistically significant difference (p value > 0.05) between the mutation groups and other clinical parameters (age at diagnosis, type of endocrine treatment, duration of endocrine treatment post-local recurrence, stage, LN, HER2 status, and type of local recurrence—local or regional). The differences between the groups were not significant also when adjusting for age and for the duration of AI post-local recurrence.
We speculated that ESR1 mutation at low AF may not have a significant survival effect and therefore decided to test the effect on survival by setting a cutoff of 1% AF, similar to the cutoff used in the metastatic cohort. Kaplan-Meier survival analysis was conducted to compare the effect on survival between patients with mutations at first tested local recurrence with AF > 1% (n = 4 patients) vs. AF < 1% or no mutation (n = 37 patients). DFS from the first tested local recurrence was significantly shorter in the > 1% mutant-positive ESR1 patients (log rank p value = 0.041, median time 0.63 [0–1.96] vs. 4.79 [2.59–6.77]) (Fig. 3a). Additionally, DRFS from tested local recurrence (Fig. 3b) as well as from primary tumor (Fig. 3c) was also significantly shorter in the AF > 1% ESR1 mutant-positive patients (log rank p value = 0.017 and 0.011, respectively). A univariate Cox regression analysis that included other relevant clinicopathological features showed that besides ESR1 mutations (AF > 1%), AI treatment post-local recurrence is significantly correlated with longer DFS and DRFS from local recurrence and from primary tumor diagnosis, respectively (Fig. 3d–f), while other parameters such as lymph node involvement at initial diagnosis trended towards worse outcomes but were not significant. Due to the small cohort size, we were unable to perform a multivariate analysis.
Activating ESR1 mutations have been described in recent years, mainly in the context of endocrine-resistant metastatic breast cancer. Less is known regarding ESR1 mutations status at the time of newly diagnosed HR+ breast cancer recurrence, specifically in non-metastatic loco-regional recurrence.
Here, we examined the prevalence and clinical significance of ESR1-LBD hotspot mutations in a retrospective cohort enriched for samples taken from either non-metastatic loco-regional recurrence treated with a curative intent or newly diagnosed metastatic recurrence prior to subsequent systemic therapy. All recurrent patients were exposed to adjuvant endocrine therapy prior to disease recurrence. To the best of our knowledge, this is the first description of ESR1 mutations in a loco-regional breast cancer recurrence cohort.
We found ESR1 hotspot mutation prevalence to be relatively high in our cohorts, both in newly diagnosed metastatic patients and loco-regional recurrent patients. Mutations’ frequency observed at the time of newly diagnosed metastatic disease recurrence post-adjuvant therapy alone was higher than previously described . Furthermore, in both cohorts, we found a relatively high prevalence of ESR mutations developing in patients that received only TAM with no previous AI treatment: in 13/60 (22%) patients at any AF and in 7/60 (12%) at AF > 1%. Previous studies reported an ESR mutation prevalence in the range of 0–7% in metastatic patients without prior AI treatment [18, 35]. The higher incidence observed in our study relative to previous studies may be explained by the fact that our retrospective cohort was enriched for patients who were treated with adjuvant TAM only (median follow-up from diagnosis is 9.4 years [range 3.3–27.7]). Pre-existing ESR1 mutations in the primary tumors, prior to exposure to any endocrine therapy, may also explain the high incidence of TAM selection in this cohort. ESR1 mutations in the treatment-naive primary tumors were identified in two patients. In the metastatic patient, selection towards higher AF of ESR1 mutation under TAM was observed. However, in the patient with local recurrence, despite the mutation being present in the primary tumor, no selection occurred, and the mutation remained at the same level of AF.
Nonetheless, our results clearly indicate that ESR1 mutations can be detected after TAM treatment alone and are clinically relevant. Mechanistically, it was shown that ESR1 mutations confer a pre-organized agonist state and an altered antagonist state which reduces SERM activity , thus providing the rationale for selective pressure for mutations emergence under TAM treatment.
Previous studies show that subsequent single-agent AI treatment in ESR1 mutation metastatic carriers results in poor PFS [15, 18, 20, 21, 37]. Most patients in these studies were previously exposed to an AI. Here, we show that patients that have never been exposed to an AI and carry an ESR1 mutation show poor PFS on single-agent AI. This supports the understanding that single-agent AI should not be used in patients with ESR1 mutations even if they never received an AI. Combinations of AI or fulvestrant with CDK4/6 inhibitors are the current standard of care for first-line treatment of HR+ metastatic breast cancer. Prospective data are lacking for the efficacy of these combinations in ESR1-mutated metastatic patients. It has been shown that ESR1 mutant cells retain their dependence on CDK4/6 and cyclin D; thus, CDK4/6 inhibitors seem to be active in ESR1 mutant cells . Since data from patients in the second-line setting (PALOMA-3, Bolero-2, SofEA trials) [20, 21, 29] provide evidence that fulvestrant is superior to AI in ESR1-mutated patients, it seems that fulvestrant combined with CDK4/6 will be more efficacious in these patients.
ESR1 mutations in loco-regional recurrence were not previously systematically reported. We used ddPCR to analyze the samples from the loco-regional cohort. As ddPCR is more sensitive than NGS, it has the potential to detect low AF-mutated clones for which clinical relevance is unclear, especially in such a small cohort. The prevalence of ESR1 mutations at all AF was high at loco-regional recurrences (36%) and may reflect a preponderance for ESR1-mutated tumors to recur locally. In these patients, more ESR1 mutant pts. (40%) eventually progressed to metastatic disease compared to WT ESR1 patients (30%), but this and other outcomes were not significantly different. However, in patients harboring mutations at AF > 1%, DFS and DFRS were significantly inferior compared to wild-type patients, possibly indicating a higher invasive/metastatic potential for mutation carrying tumors. In support of this, studies in mouse models have shown that cells harboring ESR1 mutations had increased migratory capacity and that the D538G and Y537S mutants induce a unique E2-independent transcriptional program which promotes metastases [10, 38]. Thus, it may be speculated that recurrent tumors in which these mutations developed to a significant extent under the selective pressure of adjuvant endocrine treatment will have a higher recurrence/metastatic potential in the future.
The conclusions of this study may be limited by the relatively small cohort size. The prevalence and clinical significance of ESR1 mutations in loco-regional recurrence should be validated in larger and possibly prospective cohorts. Furthermore, a standardized cutoff for mutational AF that is clinically significant should be set with the accumulation of additional studies that examine early and local recurrence events .
Validation of these results in larger cohorts may have major implications on the treatment algorithm in recurrent tumors. While the loco-regional recurrent cohort seemed to generally benefit from AI treatment (see our univariate analysis, Fig. 3), this may not be the optimal “adjuvant” treatment for the ESR1 mutation carrying tumors. In these cases, agents such as fulvestrant, newer generation SERDs, or combinations with biologic agents such as CDK4/6 inhibitors may be preferable.
Finally, we provide evidence for the emergence of ESR1 mutations under neoadjuvant treatment. In one patient, a high AF frequency D538G mutation developed during a period of neoadjuvant endocrine therapy and was later found again in the recurrent tumor in a similar frequency. Larger cohorts of pre- and post-neoadjuvant therapy-treated patients should be examined to understand if such mutations are indeed enriched under neoadjuvant treatment and what is their clinical significance. If found, these may also impact post-operative adjuvant treatment decisions.
To summarize, the data presented here emphasize that clonal selection for hotspot ESR1 mutations can occur at the early stages of both metastatic and local recurrence. These mutations can emerge after or during adjuvant endocrine therapy including single-agent TAM, as well as during neoadjuvant endocrine treatment of primary tumors. The occurrence of these mutations at least in AF > 1% confers a worse prognosis. These results have important implications for the future routine follow-up of patients to improve treatment plans and cancer outcomes. Further studies in the early recurrent setting will inform us of the optimal therapy in these patients.
Availability of data and materials
NGS data will be deposited in NCBI’s Sequence Read Archive (SRA) and are available through SRA accession number no. upon acceptance.
Droplet digital polymerase chain reaction
Distant recurrence-free survival
- ESR1 :
Estrogen receptor 1
Clark GM, Osborne CK, McGuire WL. Correlations between estrogen receptor, progesterone receptor, and patient characteristics in human breast cancer. J Clin Oncol. 1984;2:1102–9.
Pan H, Gray R, Braybrooke J, Davies C, Taylor C, McGale P, et al. 20-year risks of breast-cancer recurrence after stopping endocrine therapy at 5 years. N Engl J Med. 2017;377:1836–46.
Richman J, Dowsett M. Beyond 5 years: enduring risk of recurrence in oestrogen receptor-positive breast cancer. Nat Rev Clin Oncol. 2019;16(5):296-311.
Buchanan CL, Dorn PL, Fey J, Giron G, Naik A, Mendez J, et al. Locoregional recurrence after mastectomy: incidence and outcomes. J Am Coll Surg. 2006;203:469–74.
McGuire A, Lowery AJ, Kell MR, Kerin MJ, Sweeney KJ. Locoregional recurrence following breast cancer surgery in the trastuzumab era: a systematic review by subtype. Ann Surg Oncol. 2017;24:3124–32. https://doi.org/10.1245/s10434-017-6021-1.
Christiansen P, Al-Suliman N, Bjerre K, Moller S. Recurrence pattern and prognosis in low-risk breast cancer patients--data from the DBCG 89-A programme. Acta Oncol. 2008;47:691–703.
Neuman HB, Schumacher JR, Francescatti AB, Adesoye T, Edge SB, Vanness DJ, et al. Risk of synchronous distant recurrence at time of locoregional recurrence in patients with stage II and III breast cancer (AFT-01). J Clin Oncol. 2018;36:975–80. https://doi.org/10.1200/JCO.2017.75.5389.
Anderson SJ, Wapnir I, Dignam JJ, Fisher B, Mamounas EP, Jeong J-H, et al. Prognosis after ipsilateral breast tumor recurrence and locoregional recurrences in patients treated by breast-conserving therapy in five National Surgical Adjuvant Breast and Bowel Project protocols of node-negative breast cancer. J Clin Oncol. 2009;27:2466–73.
van Tienhoven G, Voogd AC, Peterse JL, Nielsen M, Andersen KW, Mignolet F, et al. Prognosis after treatment for loco-regional recurrence after mastectomy or breast conserving therapy in two randomised trials (EORTC 10801 and DBCG-82TM). EORTC Breast Cancer Cooperative Group and the Danish Breast Cancer Cooperative Group. Eur J Cancer. 1999;35:32–8.
Merenbakh-Lamin K, Ben-Baruch N, Yeheskel A, Dvir A, Soussan-Gutman L, Jeselsohn R, et al. D538G mutation in estrogen receptor-alpha: a novel mechanism for acquired endocrine resistance in breast cancer. Cancer Res. 2013;73:6856–64.
Jeselsohn R, Yelensky R, Buchwalter G, Frampton G, Meric-Bernstam F, Gonzalez-Angulo AM, et al. Emergence of constitutively active estrogen receptor-alpha mutations in pretreated advanced estrogen receptor-positive breast cancer. Clin Cancer Res. 2014;20:1757–67.
Toy W, Shen Y, Won H, Green B, Sakr RA, Will M, et al. ESR1 ligand-binding domain mutations in hormone-resistant breast cancer. Nat Genet. 2013;45:1439–45.
Robinson DR, Wu Y-M, Vats P, Su F, Lonigro RJ, Cao X, et al. Activating ESR1 mutations in hormone-resistant metastatic breast cancer. Nat Genet. 2013;45:1446–51.
Gelsomino L, Gu G, Rechoum Y, Beyer AR, Pejerrey SM, Tsimelzon A, et al. ESR1 mutations affect anti-proliferative responses to tamoxifen through enhanced cross-talk with IGF signaling. Breast Cancer Res Treat. 2016;157:253–65.
Toy W, Weir H, Razavi P, Lawson M, Goeppert AU, Mazzola AM, et al. Activating ESR1 mutations differentially affect the efficacy of ER antagonists. Cancer Discov. 2017;7:277–87.
Zhang QX, Borg A, Wolf DM, Oesterreich S, Fuqua SA. An estrogen receptor mutant with strong hormone-independent activity from a metastatic breast cancer. Cancer Res. 1997;57:1244–9.
Takeshita T, Yamamoto Y, Yamamoto-Ibusuki M, Inao T, Sueta A, Fujiwara S, et al. Droplet digital polymerase chain reaction assay for screening of ESR1 mutations in 325 breast cancer specimens. Transl Res. 2015;166:540–553.e2.
Schiavon G, Hrebien S, Garcia-Murillas I, Cutts RJ, Pearson A, Tarazona N, et al. Analysis of ESR1 mutation in circulating tumor DNA demonstrates evolution during therapy for metastatic breast cancer. Sci Transl Med. 2015;7:313ra182.
Niu J, Andres G, Kramer K, Kundranda MN, Alvarez RH, Klimant E, et al. Incidence and clinical significance of ESR1 mutations in heavily pretreated metastatic breast cancer patients. Onco Targets Ther. 2015;8:3323–8.
Chandarlapaty S, Chen D, He W, Sung P, Samoila A, You D, et al. Prevalence of ESR1 mutations in cell-free DNA and outcomes in metastatic breast cancer: a secondary analysis of the BOLERO-2 clinical trial. JAMA Oncol. 2016;2:1310–5.
Fribbens C, O’Leary B, Kilburn L, Hrebien S, Garcia-Murillas I, Beaney M, et al. Plasma ESR1 mutations and the treatment of estrogen receptor-positive advanced breast cancer. J Clin Oncol. 2016;34:2961–8.
Spoerke JM, Gendreau S, Walter K, Qiu J, Wilson TR, Savage H, et al. Heterogeneity and clinical significance of ESR1 mutations in ER-positive metastatic breast cancer patients receiving fulvestrant. Nat Commun. 2016;7:11579.
Clatot F, Perdrix A, Augusto L, Beaussire L, Delacour J, Calbrix C, et al. Kinetics, prognostic and predictive values of ESR1 circulating mutations in metastatic breast cancer patients progressing on aromatase inhibitor. Oncotarget. 2016;7:74448–59.
Lefebvre C, Bachelot T, Filleron T, Pedrero M, Campone M, Soria J-C, et al. Mutational profile of metastatic breast cancers: a retrospective analysis. PLoS Med. 2016;13:e1002201.
Wang P, Bahreini A, Gyanchandani R, Lucas PC, Hartmaier RJ, Watters RJ, et al. Sensitive detection of mono- and polyclonal ESR1 mutations in primary tumors, metastatic lesions, and cell-free DNA of breast cancer patients. Clin Cancer Res. 2016;22:1130–7 Available from: https://www.ncbi.nlm.nih.gov/pubmed/26500237.
Chu D, Paoletti C, Gersch C, VanDenBerg DA, Zabransky DJ, Cochran RL, et al. ESR1 mutations in circulating plasma tumor DNA from metastatic breast cancer patients. Clin Cancer Res. 2016;22:993–9.
Takeshita T, Yamamoto Y, Yamamoto-Ibusuki M, Tomiguchi M, Sueta A, Murakami K, et al. Analysis of ESR1 and PIK3CA mutations in plasma cell-free DNA from ER-positive breast cancer patients. Oncotarget. 2017;8:52142–55.
O’Leary B, Cutts RJ, Liu Y, Hrebien S, Huang X, Fenwick K, et al. The genetic landscape and clonal evolution of breast cancer resistance to palbociclib plus fulvestrant in the PALOMA-3 trial. Cancer Discov. 2018;8:1390–403.
Fribbens C, Garcia Murillas I, Beaney M, Hrebien S, O’Leary B, Kilburn L, et al. Tracking evolution of aromatase inhibitor resistance with circulating tumour DNA analysis in metastatic breast cancer. Ann Oncol Off J Eur Soc Med Oncol. 2018;29:145–53.
Takeshita T, Yamamoto Y, Yamamoto-Ibusuki M, Tomiguchi M, Sueta A, Murakami K, et al. Comparison of ESR1 mutations in tumor tissue and matched plasma samples from metastatic breast cancer patients. Transl Oncol. 2017;10:766–71.
Jeselsohn R, Buchwalter G, De Angelis C, Brown M, Schiff R. ESR1 mutations-a mechanism for acquired endocrine resistance in breast cancer. Nat Rev Clin Oncol. 2015;12:573–83.
Fuqua SAW, Gu G, Rechoum Y. Estrogen receptor (ER) alpha mutations in breast cancer: hidden in plain sight. Breast Cancer Res Treat. 2014;144:11–9.
Polyak K. Tumor heterogeneity confounds and illuminates: a case for Darwinian tumor evolution. Nat Med. 2014;20:344–6.
Zhang K, Hong R, Xu F, Xia W, Kaping L, Qin G, et al. Clinical value of circulating ESR1 mutations for patients with metastatic breast cancer: a meta-analysis. Cancer Manag Res. 2018;10:2573–80.
Kuang Y, Siddiqui B, Hu J, Pun M, Cornwell M, Buchwalter G, et al. Unraveling the clinicopathological features driving the emergence of ESR1 mutations in metastatic breast cancer. NPJ breast Cancer. 2018;4:22.
Fanning SW, Mayne CG, Dharmarajan V, Carlson KE, Martin TA, Novick SJ, et al. Estrogen receptor alpha somatic mutations Y537S and D538G confer breast cancer endocrine resistance by stabilizing the activating function-2 binding conformation. eLife. 2016;5:e12792.
Garraway LA, Jänne PA. Circumventing cancer drug resistance in the era of personalized medicine. Cancer Discov. 2012;2:214–26.
Jeselsohn R, Bergholz JS, Pun M, Cornwell M, Liu W, Nardone A, et al. Allele-specific chromatin recruitment and therapeutic vulnerabilities of ESR1 activating mutations. Cancer Cell. 2018;33:173–186.e5.
Jeselsohn R. Are we ready to use ESR1 mutations in clinical practice? Breast Care (Basel). 2017;12:309–13.
We thank the Cancer Research Center at Sheba Medical Center for the support. We are grateful for the help of the next-generation sequencing team at Sheba Medical Center. We thank Dr. Fabienne Hershkowitz for her help in the statistical analysis. MD is a fellow of the TELEM Leadership and Excellence in Research program at Chaim Sheba Medical Center.
This research was supported by a grant from the Israel Cancer Association number 20181126.
Ethics approval and consent to participate
The study was approved by the Sheba Institutional Review Board (IRB), approval number 7509-09. Patients provided informed consent for their sample collection.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Tal Sella is currently affiliated at Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
Table S1. validation of Sequencing results by ddPCR. Figure S1. DFS and OS for the metastatic cohort. Kaplan–Meier plots of a. disease free survival (DFS) from the primary tumor and b. overall survival (OS) from tested metastasis, comparing patients with ESR1 mutations vs. no detected mutation at the metastatic sample. Figure S2. RFS, DFS and DRFS for the loco-regional cohort: mutant vs. WT. Kaplan–Meier plots of a. recurrence free survival (RFS) from the primary tumor, b. disease free survival (DFS) from the tested local recurrence (LR), c. distant recurrence free survival (DRFS) from the primary tumor, and d. distant recurrence free survival (DRFS) from the tested local recurrence (LR), comparing patients with ESR1 mutations at any allele frequency vs. no detected mutation.
About this article
Cite this article
Zundelevich, A., Dadiani, M., Kahana-Edwin, S. et al. ESR1 mutations are frequent in newly diagnosed metastatic and loco-regional recurrence of endocrine-treated breast cancer and carry worse prognosis. Breast Cancer Res 22, 16 (2020). https://doi.org/10.1186/s13058-020-1246-5
- Breast cancer
- ESR1 mutation
- Loco-regional/local recurrence
- Endocrine treatment