Literature DB >> 30820448

ESR1 mutations in metastatic lobular breast cancer patients.

Christine Desmedt1,2, Julien Pingitore2, Françoise Rothé1, Caterina Marchio3,4, Florian Clatot5,6, Ghizlane Rouas1, François Richard1, François Bertucci7, Odette Mariani3, Christine Galant8, Charlotte Fribbens9,10, Ben O'Leary9,10, Gert van den Eynden11, Roberto Salgado1,11, Nicholas C Turner9,10, Martine Piccart12, Anne Vincent-Salomon3, Giancarlo Pruneri13,14,15, Denis Larsimont16, Christos Sotiriou1.   

Abstract

Invasive lobular breast cancer (ILC) represents the second most common histology of breast cancer after invasive ductal breast cancer (IDC), accounts for up to 15% of all invasive cases and generally express the estrogen receptor (ER, coded by the ESR1 gene). ESR1 mutations have been associated with resistance to endocrine therapy, however these have not been specifically evaluated in ILC. We assessed the frequency of ESR1 mutations by droplet digital PCR in a retrospective multi-centric series of matched primary tumor and recurrence samples (n = 279) from 80 metastatic ER-positive ILC patients. We further compared ESR1 mutations between IDC and ILC patients in metastatic samples from MSKCC-IMPACT (n = 595 IDC and 116 ILC) and in ctDNA from the SoFEA and PALOMA-3 trials (n = 416 IDC and 76 ILC). In the retrospective series, the metastases from seven patients (9%) harbored ESR1 mutations, which were absent from the interrogated primary samples. Five patients (6%) had a mutation in the primary tumor or axillary metastasis, which could not be detected in the matched distant metastasis. In the MSKCC-IMPACT cohort, as well as in the SoFEA and PALOMA-3 trials, there were no differences in prevalence and distribution of the mutations between IDC and ILC, with D538G being the most frequent mutation in both histological subtypes. To conclude, no patient had an identical ESR1 mutation in the early and metastatic disease in the retrospective ILC series. In the external series, there was no difference in terms of prevalence and type of ESR1 mutations between ILC and IDC.

Entities:  

Year:  2019        PMID: 30820448      PMCID: PMC6384916          DOI: 10.1038/s41523-019-0104-z

Source DB:  PubMed          Journal:  NPJ Breast Cancer        ISSN: 2374-4677


Introduction

Invasive lobular breast carcinomas (ILC) account for up to 15% of all invasive breast cancer (BC) cases and represents the second most frequent histological subtype after invasive ductal BC (IDC), the latter also being formally referred to as invasive breast carcinoma of no special type.[1] ILCs typically express the estrogen receptor (ER, coded by the ESR1 gene) and lack HER2 amplification. These tumors further differ from IDC in terms of clinical presentation, disease progression, and response to treatment.[2] Recently, several studies on primary ILC have demonstrated that these two subtypes also present differences in terms of genomic, gene expression, protein, and immune features.[3-8] Given the fact that ILCs are nearly exclusively ER-positive, those patients are almost always treated with endocrine therapy. While the majority of the patients do benefit from these treatments, a large proportion will present with de novo or acquired resistance. Although several mechanisms of endocrine resistance have been proposed,[9,10] one of those that has been receiving more attention during the last years thanks to the increasing sequencing initiatives of metastatic breast tumors is represented by the recurrent mutations in the ESR1 gene (reviewed by Jeselsohn et al.[11]). ER is a member of the nuclear receptor superfamily and acts as a ligand-dependent transcription factor. Upon binding of estrogen, ER dimerizes and the α-helix of helix 12 is stabilized into an active conformation, allowing the binding of co-activators. This results in the binding of ER to several DNA sites to regulate the transcription of a multitude of genes involved in several physiological and cancer-related processes. The majority of the ESR1 mutations are concentrated on two amino acids (Y537, D538) in the ligand-binding domain. These mutations have been reported to lead to ligand-independent activation.[12] Mutations affecting the ESR1 gene have been detected mainly in metastases from ER-positive/HER2-negative breast tumors, at a frequency ranging from 5 to 25%, when considering series with >20 interrogated metastases.[5,13-18] The largest cohort of BC metastases with information about the ESR1 mutational status is the one derived from the prospective clinical sequencing initiative from the Memorial Sloan Kettering Cancer Center (MSKCC-IMPACT[18]), which reported mutations in 107/835 (12.5%) metastatic BC patients (source: cbioportal.org[19,20]). Besides the detection in metastatic tissue, several studies have also interrogated the presence of these mutations in circulating tumor DNA (ctDNA) in institutional cohorts[15,21,22] or in the context of clinical trials.[23-25] The prevalence of ESR1 mutations was much higher here, ranging between 14.8 and 31.5% in the institutional series and between 25.3 and 39.1% in the trials. Results are consistent across the cohorts in reporting higher ESR1 mutation rates in patients treated with aromatase inhibitors in the metastatic setting.[15,22] So far the prevalence of these mutations has been extremely low in primary tumors, with 0.5% mutated samples detected by next-generation sequencing (NGS) in the large cohort from The Cancer Genome Atlas (TCGA, source: cbioportal.org[3,19,20]). Recently, two studies using the more sensitive droplet digital PCR (ddPCR) reported higher frequencies in primary tumors of 2.6 and 7%, respectively.[21,26] Two series of primary cancers from patients who recurred revealed also increased rates of 3 and 3.5% using NGS.[13,18] Of interest, the mutant allele frequencies were generally very low in these primary tumors, rarely above 1%, suggesting that these mutated cells likely represent a minor subclone. While the increased prevalence in the metastatic setting suggests that these mutations are acquired, few studies have extensively compared matched primary and metastatic samples to exclude that the ESR1 mutations detected in the metastatic disease were actually already present in a rare subclone of the primary tumor.[13,16,17] So far, the comparison on the highest number of matched primary and metastatic ER-positive samples was reported by Fumagalli et al.[16] using a mutational hotspot qPCR assay on 37 patients, and none of the 4 ESR1 mutations present in the metastatic samples were detected in the matched primary. However, given the higher rates of ESR1 mutations detected with ddPCR, we hypothesized that deeper sequencing methods could maybe identify additional matched mutations. If the ESR1 mutations were pre-existing in the primary tumor and led to endocrine resistance, this would have important therapeutic and monitoring implications. Since tumors harboring ESR1 mutations may require a different endocrine treatment strategy,[27] it is of utmost importance to identify these. However, no study has ever specifically evaluated the presence and distribution of ESR1 mutations in metastatic ILC. In this study, we therefore assembled a retrospective multi-centric cohort of matched normal, primary and metastatic samples from metastatic ER-positive ILC patients and evaluated the most frequent ESR1 mutations using ddPCR. To further compare the frequency and distribution of the mutations between IDC and ILC patients, we interrogated the metastases from MSKCC-IMPACT[18] and ctDNA from SoFEA and PALOMA-3.[24]

Results

Characteristics of the retrospective metastatic ILC cohort

We retrospectively identified 129 metastatic ER-positive ILC patients from 6 European institutions fulfilling the initial eligibility criteria. From these patients, following block retrieval and central pathology review, 94 were eligible. Sufficient DNA was available from the primary, the metastatic as well as normal tissue samples for 80 patients. Whenever possible, we also collected samples from involved axillary lymph nodes (Supplementary Figure 1). The patients and samples (n = 279) characteristics are listed in Table 1 and Supplementary Table 1. In brief, 71% of the patients were older than 50 years, 18% were de novo metastatic, 73% had primary tumors larger than 2 cm, and 65% had axillary lymph nodes involved at the time of diagnosis. The majority of the tumors were HER2-negative (84%) and grade 2 (61%). Of interest, the metastases from six patients lost ER expression in their metastatic sample. The most represented primary ILC histological subtypes were classic (56%); mixed non-classic (21%), and trabecular (16%). The origin of the analyzed metastases is consistent with the metastatic patterns observed for ILC patients,[28] with bone metastases being the most frequent (24%), followed by metastases from reproductive organs and the skin (both 14%), and metastases from the gastro-intestinal tract and peritoneum (both 8%).
Table 1

Patient and sample characteristics of the retrospective metastatic ILC cohort

N (%)
Age at primary diagnosis
  Median (min–max)55 (33–81)
  <5023 (28.8)
  ≥5057 (71.3)
De novo metastatic
  No66 (82.5)
  Yes14 (17.5)
Histological primary tumor size
  <2 cm20 (25.0)
  ≥2 cm58 (72.5)
  Unknown2 (2.5)
Histological nodal status
  Negative27 (33.8)
  Positive52 (65.0)
  Unknown1 (1.3)
Histological grade primary
  115 (18.8)
  249 (61.3)
  315 (18.8)
  Unknown1 (1.3)
PgR status primary
  Negative11 (13.8)
  Positive66 (82.5)
  Unknown3 (3.8)
HER2 status primary
  Negative67 (83.8)
  Positive6 (7.5)
  Unknown7 (8.8)
Ki67 primary
  <20%38 (47.5)
  ≥20%25 (31.3)
  Unknown17 (21.3)
ER status metastasis
  Negative6 (7.5)
  Positive66 (82.5)
  Unknown8 (10.0)
Main histological subtype primary
  Alveolar1 (1.3)
  Classic45 (56.3)
  Mixed non-classic (incl. pleomorphic)17 (21.3)
  Solid3 (3.8)
  Trabecular13 (16.3)
  Unknown1 (1.3)
(Neo)Adjuvant chemotherapy
  Yes64 (80.0)
  No16 (20.0)
Organ metastatic samplea
  Bone20 (23.5)
  GI tract7 (8.2)
  Local relapse3 (3.5)
  Liver8 (9.4)
  Lung8 (9.4)
  Lymph nodes6 (7.1)
  Peritoneum7 (8.2)
  Reproductive organs13 (15.3)
  Skin13 (15.3)
Timing metastatic sample
  At first diagnosis metastatic diseaseb62 (77.5)
  After first diagnosis metastatic disease18 (22.5)
Endocrine treatment before metastatic biopsy
  SERM only32 (40.0)
  AI only18 (22.5)
  SERM and AI24 (30.0)
  No endocrine treatment6 (7.5)
Duration endocrine treatment before metastatic biopsy
  <2 years21 (26.3)
  2 to 4 years14 (17.5)
  >4 years45 (56.3)

AI aromatase inhibitor, ET endocrine therapy, SERM selective estrogen receptor modulator

aThe total number is >80 since several metastatic samples were analyzed for some patients

bThis includes metastatic samples collected up to 3 months after first diagnosis of metastatic disease

Patient and sample characteristics of the retrospective metastatic ILC cohort AI aromatase inhibitor, ET endocrine therapy, SERM selective estrogen receptor modulator aThe total number is >80 since several metastatic samples were analyzed for some patients bThis includes metastatic samples collected up to 3 months after first diagnosis of metastatic disease

Incidence and distribution of ESR1 mutations in the retrospective metastatic ILC cohort

We assessed the presence of five different ESR1 mutations: E380Q, Y537S/C/N, and D538G. Five patients (6%) had a unique ESR1 mutation in the primary tumor (n = 3) or axillary lymph node metastasis (n = 2), which was not detected in the matched distant metastasis (Table 2). These mutations showed a variant allele fraction ranging between 0.1 and 2.0% and were distributed as follows: D538G (n = 3), Y537S (n = 1), and Y537N (n = 1). The metastases from seven patients (9%) harbored ESR1 mutations, which were absent from the interrogated primary samples (Table 3). Of these, patient #6 harbored the Y537S mutation in the skin metastasis and the D538G mutation in the axillary lymph node metastasis. Of interest, for two of these patients, two different metastatic samples collected at a different time of disease evolution displayed a different ESR1 mutational status. The first metastatic biopsy of patient #2 was taken at first diagnosis of recurrence and did not harbor an ESR1 mutation, while the second, taken at progression two years later after she had received an aromatase inhibitor, presented the D538G mutation. Patient #78, who was diagnosed with de novo metastatic disease, also had two metastases that were analyzed, the first taken at diagnosis which was negative and the second taken 1.3 years later after being treated with letrozole, which harbored the E380Q mutation.
Table 2

Characteristics of patients and samples from the retrospective metastatic ILC cohort with mutated primary mammary or positive axillary lymph node samples

Pt6Pt38Pt48Pt54Pt103
ESR1 mutations (AF)D538G (1%)-both PLN samplesD538G (2%)-in only 1 of the 4 P samplesY537N (0.1%) in PLND538G (2%) in PE380Q (5.5%) in P
Nr of P samples evaluated24111
Nr of PLN samples evaluated20110
Nr of M samples evaluated121221
Age at P diagnosis4965453355
PgR (P)++++
HER2 (P)+
Grade (P)31222
Ki67 (P)1053715NA
Histotype (P)Mixed NCClassicTrabecularClassicMixed NC
pT12214
pN12330
De novo metastaticYesNoNoNoNo
Type ETAISERM + AISERMAIAI
Duration ET (yrs)7.2852.81.4
Setting ETMetAdjAdjAdjMet
Time between diagnosis and sampling7.80000
Organ samplesBonePeritoneumBoneLiverPeritoneum

AF allelic frequency, AI aromatase inhibitor, ET endocrine therapy, NA not available, Mixed NC mixed non-classic, P primary, PLN positive lymph node, SERM selective estrogen receptor modulator

Table 3

Characteristics of patients and samples from the retrospective metastatic ILC cohort with mutated metastatic samples

Pt1Pt2Pt6Pt58Pt62Pt67Pt78
ESR1 mutations (AF)Y537S (0.24%)D538G (22.3%)Y537S (27%)D538G (16.9%)D538G (15.0%)Y537S (8.0%)Y537N (6.4%)D538G (0.8%)E380Q (5.5%)
Nr of primary samples (P & PLN) evaluated7352221
Age45424952615455
PgR+++++
HER2+
Grade22322NA2
Ki67201010201815NA
HistotypeTrabe-
cularMixed NCMixed NCTrabecularClassicClassicMixed NC
pT1112214
pN1112330
De novo metastaticYesNoYesNoNoNoYes
TypeAISERM + AIAIAIAISERMAI
Duration (yrs)3.82.8 + 1.97.286.84.71.4
SettingMetAdj+
metMetAdjAdjAdjMet
Time between diagnosis and sampling3.92.07.80001.3
Organ samplesBoneBoneBoneLiverBonePeritoneumPeritoneum

Patients 6 and 78 had metastases that were sampled at different times during disease evolution and only the second one harboring the ESR1 mutation was reported in this table

AF allelic frequency, AI aromatase inhibitor, ET endocrine therapy, NA not available, Mixed NC mixed non-classic, P primary, PLN positive lymph node, SERM selective estrogen receptor modulator

Characteristics of patients and samples from the retrospective metastatic ILC cohort with mutated primary mammary or positive axillary lymph node samples AF allelic frequency, AI aromatase inhibitor, ET endocrine therapy, NA not available, Mixed NC mixed non-classic, P primary, PLN positive lymph node, SERM selective estrogen receptor modulator Characteristics of patients and samples from the retrospective metastatic ILC cohort with mutated metastatic samples Patients 6 and 78 had metastases that were sampled at different times during disease evolution and only the second one harboring the ESR1 mutation was reported in this table AF allelic frequency, AI aromatase inhibitor, ET endocrine therapy, NA not available, Mixed NC mixed non-classic, P primary, PLN positive lymph node, SERM selective estrogen receptor modulator

Association of ESR1 mutations with clinical and pathological features

We explored the associations between the presence of ESR1 mutations and clinico-pathological features. All but one patients with ESR1 mutations were ≤ 55 years old at diagnosis and had axillary lymph node metastasi(e)s. Also all but one patients were treated with aromatase inhibitors, in the adjuvant and/or metastatic setting before the metastatic biopsy was taken. This means that the frequency of ESR1-mutated metastases is very different according to endocrine therapy the patients received before their metastatic biopsy: SERM (1/32, 3.1%), AI only (5/18, 27.8%), SERM + AI (1/24, 4.2%), and no endocrine treatment (0/6, 0%). Three of the seven patients were de novo metastatic, however for two of them their biopsy was taken several years after diagnosis. Of interest, the metastasis from patient #67 harbored three different ESR1 mutations, however this patient received only adjuvant tamoxifen as endocrine treatment. We did not observe any association with the specific histologic ILC variants and none of the metastatic samples that lost ER expression presented an ESR1 mutation.

Comparison of the prevalence and distribution of ESR1 mutations between IDC and ILC patients

To compare the prevalence and distribution of ESR1 mutations between IDC and ILC patients, we first interrogated the metastases from the MSKCC-IMPACT cohort (Fig. 1a–c). The distribution of the ILC metastases is very similar to what we observed in our retrospective series (Fig. 1b). We observed no statistically significant difference in the prevalence of ESR1 mutations, with 11.9% (71/595) of the IDC and 13.8% (16/116) of the ILC patients harboring a mutation in at least one of the investigated metastases (p = 0.540, Fisher’s exact test). We then compared the types of mutations and observed that the most frequent mutation both in IDC and ILC is the D538G mutation, present in 38.5 and 56.3% of the IDC and ILC mutated samples, respectively. Some of the less commonly reported mutations such as V422del, S463P, L536H/P/R, and Y537N were only observed in metastases from IDC patients. Of note, in the metastases from the ILC patients, the only additionally detected mutation that we found and that was not part of the five mutations we were interrogating in our series was the L536Q mutation present in one metastasis. In this series, we could not assess the presence of the mutations in the matched primary samples, nor the ER status in the primary and metastatic disease or the association with treatment, as these data were not available. Given the key role of FOXA1 and GATA3 in the transcription factor complex of ER,[29] we aimed at investigating the co-occurrence of mutations present in these genes with ESR1 mutations. Consistently with what has been observed in the primary disease,[3,5] we noticed a higher prevalence of GATA3 mutations in IDC (14.8%) compared to ILC (3.4%) metastases (p < 0.001, Fisher’s exact test). The only statistically significant association we observed was between ESR1 and GATA3 mutations in IDC metastases, with 28.0% of the ESR1-mutated metastases harboring also GATA3 mutations, compared to only 13.0% of the ESR1 wild-type metastases (p = 0.002, Fisher’s exact test).
Fig. 1

Comparison of prevalence and distribution of ESR1 mutations in the IDC and ILC metastatic disease. a Frequency of the different ESR1 mutations in IDC and ILC in the metastases from the MSKCC-IMPACT cohort. b Distribution of the different types of metastases sequenced from IDC and ILC patients, and proportion of the ESR1-mutated (mut) and wild-type (WT) metastases in the MSKCC-IMPACT cohort. c Co-occurrence of ESR1 mutations with GATA3 and FOXA1 mutations in IDC and ILC patients in the MSKCC-IMPACT cohort. d Frequency of the different ESR1 mutations in IDC and ILC in ctDNA from the SoFEA and PALOMA-3 trials

Comparison of prevalence and distribution of ESR1 mutations in the IDC and ILC metastatic disease. a Frequency of the different ESR1 mutations in IDC and ILC in the metastases from the MSKCC-IMPACT cohort. b Distribution of the different types of metastases sequenced from IDC and ILC patients, and proportion of the ESR1-mutated (mut) and wild-type (WT) metastases in the MSKCC-IMPACT cohort. c Co-occurrence of ESR1 mutations with GATA3 and FOXA1 mutations in IDC and ILC patients in the MSKCC-IMPACT cohort. d Frequency of the different ESR1 mutations in IDC and ILC in ctDNA from the SoFEA and PALOMA-3 trials We further compared the prevalence and distribution of ESR1 mutations identified in ctDNA between IDC and ILC patients in the SoFEA (NCT00253422) and PALOMA-3 (NCT01942135) trials (Fig. 1d). In these trials, the ESR1 mutational status was analyzed in 606 patients (445 from PALOMA-3 and 161 from SoFEA): 416 IDC, 76 ILC, and 117 with other histologies. There was no statistically significant difference in the overall incidence of ESR1 mutations between the two main histologies with 29.6 and 26.3% reported in samples from IDC and ILC patients, respectively (p = 0.680, Fisher’s exact test). Consistently with the above results, we further did not observe any difference in the distribution of the ESR1 mutations between the two histologies.

Discussion

In this study, we aimed first at evaluating ESR1 mutations in a unique retrospective multi-centric cohort of metastatic ILC and second at comparing their prevalence and distribution to metastatic IDC using external cohorts. In our retrospective cohort, ESR1-mutated metastases were detected in 9% of the patients. In MSKCC-IMPACT,[18] we observed a slightly higher rate of 13.8% and 11.9% in metastases from ILC and IDC patients. The lower rate observed in our series might potentially be explained by the fact that only 52% of the patients were treated with aromatase inhibitors before their metastatic biopsy and by the fact that most of the metastatic biopsies (78%) were taken early in the metastatic phase. We could however not compare these two cohorts given the lack of publicly available pathological and clinical data for MSKCC-IMPACT. The even higher rates observed in SoFEA and PALOMA-3[24] (29.6% and 26.3% in IDC and ILC patients, respectively) are in line with the rates observed in ctDNA studies[15,21-25] and with the fact that the majority of the patients received prior aromatase inhibitors. Globally, these comparisons revealed no difference in prevalence of ESR1 mutations between the two histologies. These results are also in line with two previous studies.[27,30] Bartels et al. reported ESR1 mutations in 11/% (11/118) and 11.4% (14/113) of IDC and ILC metastases, however this study was limited to bone metastases.[30] Toy et al. reported ESR1 mutations in 10.3% (72/698) and 14.2% (20/141) of IDC and ILC samples, respectively, however these were a mixture of primary tumors and metastases from recurring patients.[27] With regard to the type of mutations present in ILC, we observed that D538G is the most common mutation, present in the metastatic disease from 57.1%, 56.3%, and 60.0% of the ILC patients with ESR1-mutated metastases from our series, MSKCC-IMPACT, and the SoFEA/PALOMA-3 ctDNA, respectively. Although these values were numerically higher in ILC compared to IDC patients, the difference was not statistically significant. It has recently been demonstrated that the different activating ESR1 mutations do promote a metastatic phenotype[31] but are not similar with regard to the efficacy of ER antagonists.[27] For instance, Toy et al. observed that Y537S-mutated tumors, as opposed to tumors harboring D538G, E380Q, or S463P mutations, are associated with in vivo resistance to fulvestrant and should therefore be treated with a more potent ER antagonist.[27] The fraction of Y537S mutations among all ESR1 mutations was variable across the series: 42% in our series, 18.8% in MSKCC-IMPACT, and 15% in SoFEA/PALOMA-3. This suggests that the type of ESR1 mutation should be carefully evaluated for optimal endocrine treatment decision. This study is to the best of our knowledge the largest study of ER-positive BC comparing the presence of ESR1 mutations in matched primary and metastatic samples. Our data do not support the hypothesis that rare ESR1-mutated clones are selected for in the primary tumor during disease progression since we did not detect the mutations identified in the primary disease in the matched metastases. Nevertheless, we cannot rule out that these mutations could be present in another metastatic lesion. Also, we did not detect the mutations present in the metastases in the matched primary samples, although here we cannot exclude that we missed the minor subclone present in the primary tumor despite having interrogated several geographical regions whenever possible with a very sensitive technology. The main limitations of our study are linked to the retrospective nature of our cohort, with the inherent heterogeneity in treatment and timing of metastatic sampling. Also, the choice of ddPCR was implying that only pre-defined mutations could be investigated. The full spectrum of ESR1 mutations was however interrogated in the MSKCC-IMPACT cohort.[18] Only the L536Q mutation was detected in one ILC metastasis from this cohort in addition to the five mutations we were focusing on in our retrospective cohort, suggesting that we did not miss too many mutations in our cohort. In our series, ddPCR was chosen for its high-sensitivity to increase the chance of detecting rare mutations. Indeed a study comparing NGS and ddPCR showed that they could detect three times more ESR1 mutations with ddPCR than NGS.[32] Finally, the last limitation of this study was that it focused on ESR1 mutations only, and was therefore not reporting on other potential mechanisms of endocrine resistance involving directly (ESR1 gain/amplification/translocation/fusion) or indirectly ESR1 (such as partners from the transcription factor complex[29]). We nevertheless explored the co-occurrence of mutations present in two key partners, GATA3 and FOXA1, known to be frequently altered in ER-positive BCs. We only observed a positive association between ESR1 and GATA3 mutations in metastases from IDC patients, the biological implications of which should be further investigated through functional studies. To conclude, we have shown here using the largest series of matched primary/metastasis ILC cohort and an ultra-sensitive technology, that there was no patient presenting an identical ESR1 mutation in the early setting and in metastatic disease. Furthermore, the study did not identify differences in terms of prevalence and type of ESR1 mutations between the two most common BC histological subtypes.

Patients and methods

Patients and samples from the multi-centric retrospective ILC cohort

We considered the patients from six European Institutions (Institut Jules Bordet-Brussels, Cliniques Universitaires Saint-Luc-Brussels, GZA Ziekenhuizen-Antwerp, Institut Paoli-Calmettes-Marseille, Institut Curie-Paris, Istituto Europeo di Oncologia-Milan) that were fulfilling the following criteria: (1) no distinct invasive neoplastic components other than ILC at central revision; (2) ER-positive status of the primary tumor; (3) minimal tumor cellularity of 20% (if < 20%, then only considered if macrodissection could be done); (4) availability of >100 ng of DNA from a formalin-fixed paraffin-embedded (FFPE) block of the primary tumor, metastasis, and non-invaded tissue. Whenever possible, multiple FFPE blocks were considered for the primary tumor, the axillary, and distant metastases. DNA extraction from FFPE samples was performed using the QIAamp DNA FFPE Tissue Kit and concentration was measured using the Qubit fluorometer (Life technologies). The project has been approved by the ethics committee of the Institut Jules Bordet (N°2504). Given the retrospective nature of the study, the ethics committee did not require the patients to sign an informed consent.

ddPCR

The presence of the mutations E380Q, Y537S/C/N, and D538G was assessed using custom designed mutation-specific assays in a total reaction volume of 23 µl consisting in 1x ddPCR supermix for probes without dUTP, 0.9 µM each primer, 0.25 µM probe, and 10–100 ng of DNA. All ddPCR experiments were performed using the in house Bio-Rad QX200 System. ddPCR assay specificity was assessed using negative and positive controls, consisting of normal DNA from breast reduction and synthetic oligonucleotides harboring the mutations of interest, respectively. QuantaSoft v.1.7.4 software (Bio-Rad) was used for data analysis. Sample positivity was determined following Bio-Rad guidelines. Absolute copies of mutant DNA and wild-type DNA were estimated from the Poisson distribution.

ESR1 mutations in external cohorts

We downloaded the targeted sequencing and clinical data from MSKCC-IMPACT[18] from cbioportal.org[19,20] in April 2018. We considered only the metastases from female BC patients with the Oncotree code “BRCANOS”, “BRCNOS” and “IDC” code as IDC patients and with the “ILC” code as ILC patients. With regard to the ESR1 mutations, we only considered those reported to be “Gain-of-function” or “Likely Gain-of-function” according to OncoKB.[33] For the GATA3 and FOXA1 mutations, we considered the mutations annotated as “hotspot” or “3D hotspot” or “Likely Oncogenic” or “Predicted Oncogenic” in cbioportal.org. We further queried the results obtained in ctDNA from the SoFEA (NCT00253422) and PALOMA-3 (NCT01942135) trials.[24] In these studies, the presence of the ESR1 mutations was assessed by ddPCR.

Statistical analyses

The associations between the ESR1 mutational status and clinico-pathological variables were assessed using the Fisher’s exact test. All statistical tests were two-sided at the 0.05 significance level and conducted under R 3.4.1 (http://www.r-project.org/).
  33 in total

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6.  Noninvasive detection of activating estrogen receptor 1 (ESR1) mutations in estrogen receptor-positive metastatic breast cancer.

Authors:  David S Guttery; Karen Page; Allison Hills; Laura Woodley; Stephanie D Marchese; Basma Rghebi; Robert K Hastings; Jinli Luo; J Howard Pringle; Justin Stebbing; R Charles Coombes; Simak Ali; Jacqueline A Shaw
Journal:  Clin Chem       Date:  2015-05-15       Impact factor: 8.327

Review 7.  Invasive lobular carcinoma of the breast: morphology, biomarkers and 'omics.

Authors:  Amy E McCart Reed; Jamie R Kutasovic; Sunil R Lakhani; Peter T Simpson
Journal:  Breast Cancer Res       Date:  2015-01-30       Impact factor: 6.466

Review 8.  Mechanisms of endocrine resistance in breast cancer: an overview of the proposed roles of noncoding RNA.

Authors:  Erin L Hayes; Joan S Lewis-Wambi
Journal:  Breast Cancer Res       Date:  2015-03-17       Impact factor: 6.466

9.  ESR1 ligand-binding domain mutations in hormone-resistant breast cancer.

Authors:  Weiyi Toy; Yang Shen; Helen Won; Bradley Green; Rita A Sakr; Marie Will; Zhiqiang Li; Kinisha Gala; Sean Fanning; Tari A King; Clifford Hudis; David Chen; Tetiana Taran; Gabriel Hortobagyi; Geoffrey Greene; Michael Berger; José Baselga; Sarat Chandarlapaty
Journal:  Nat Genet       Date:  2013-11-03       Impact factor: 38.330

10.  Enhancer activation requires trans-recruitment of a mega transcription factor complex.

Authors:  Zhijie Liu; Daria Merkurjev; Feng Yang; Wenbo Li; Soohwan Oh; Meyer J Friedman; Xiaoyuan Song; Feng Zhang; Qi Ma; Kenneth A Ohgi; Anna Krones; Michael G Rosenfeld
Journal:  Cell       Date:  2014-10-09       Impact factor: 41.582

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  6 in total

1.  Targeting Metabolic Adaptations in the Breast Cancer-Liver Metastatic Niche Using Dietary Approaches to Improve Endocrine Therapy Efficacy.

Authors:  Qianying Zuo; Ayca Nazli Mogol; Yu-Jeh Liu; Ashlie Santaliz Casiano; Christine Chien; Jenny Drnevich; Ozan Berk Imir; Eylem Kulkoyluoglu-Cotul; Nicole Hwajin Park; David J Shapiro; Ben Ho Park; Yvonne Ziegler; Benita S Katzenellenbogen; Evelyn Aranda; John D O'Neill; Akshara Singareeka Raghavendra; Debu Tripathy; Zeynep Madak Erdogan
Journal:  Mol Cancer Res       Date:  2022-06-03       Impact factor: 6.333

Review 2.  Breast Cancer: A Molecularly Heterogenous Disease Needing Subtype-Specific Treatments.

Authors:  Ugo Testa; Germana Castelli; Elvira Pelosi
Journal:  Med Sci (Basel)       Date:  2020-03-23

Review 3.  Invasive lobular carcinoma of the breast: the increasing importance of this special subtype.

Authors:  Amy E McCart Reed; Lauren Kalinowski; Peter T Simpson; Sunil R Lakhani
Journal:  Breast Cancer Res       Date:  2021-01-07       Impact factor: 6.466

Review 4.  Atlas of Lobular Breast Cancer Models: Challenges and Strategic Directions.

Authors:  George Sflomos; Koen Schipper; Thijs Koorman; Amanda Fitzpatrick; Steffi Oesterreich; Adrian V Lee; Jos Jonkers; Valerie G Brunton; Matthias Christgen; Clare Isacke; Patrick W B Derksen; Cathrin Brisken
Journal:  Cancers (Basel)       Date:  2021-10-27       Impact factor: 6.639

5.  Exosomal MicroRNAs in Pregnancy Provides Insight into a Possible Cure for Cancer.

Authors:  Preenan Pillay; Kogi Moodley; Manu Vatish; Jagidesa Moodley
Journal:  Int J Mol Sci       Date:  2020-07-29       Impact factor: 5.923

Review 6.  Role of ctDNA in Breast Cancer.

Authors:  Marta Sant; Adrià Bernat-Peguera; Eudald Felip; Mireia Margelí
Journal:  Cancers (Basel)       Date:  2022-01-09       Impact factor: 6.639

  6 in total

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