Abstract
Background
Chemotherapy efficacy in early-stage hormone receptor-positive (HR+) breast cancer (BC) according to menopausal status needs a biological explanation.
Methods
We compared early-stage HR+ BC biological features before and after (neo)adjuvant chemotherapy or endocrine therapy (ET), and assessed oestrogen receptor (ER) pathway activity in both pre- and post-menopausal patients. The nCounter platform was used to detect gene expression levels.
Findings
In 106 post-menopausal patients with HR+/HER2-negative BC randomized to neoadjuvant chemotherapy or ET (letrozole+ribociclib), a total of 19 oestrogen-regulated genes, including progesterone receptor (PGR), were found downregulated in the ET-based arm-only. We confirmed this finding in an independent dataset of 20 letrozole-treated post-menopausal patients and found, conversely, an up-regulation of the same signature in HR+/HER2-negative MCF7 cell line treated with estradiol. PGR was found down-regulated by 2 weeks of ET+anti-HER2 therapy in pre-/post-menopausal patients with HR+/HER2-positive (HER2+) BC, while anti-HER2 therapy alone increased PGR expression in HR-negative/HER2+ BC. In 88 pre- and post-menopausal patients with newly diagnosed HR+/HER2-negative BC treated with chemotherapy, the 19 oestrogen-regulated genes were found significantly downregulated only in pre-menopausal patients. In progesterone receptor (PR)+/HER2-negative BC treated with neoadjuvant chemotherapy (n=40), tumours became PR-negative in 69.2% of pre-menopausal patients and 14.8% of post-menopausal patients (p=0.001). Finally, a mean decrease in PGR levels was only observed in pre-menopausal patients undergoing anti-HER2-based multi-agent chemotherapy.
Interpretation
Chemotherapy reduces the expression of ER-regulated genes in pre-menopausal women suffering from hormone-dependent BC by supressing ovarian function. Further studies should test the value of chemotherapy in this patient population when ovarian function is suppressed by other methods.
Funding
Instituto de Salud Carlos III, Breast Cancer Now, the Breast Cancer Research Foundation, the American Association for Cancer Research, Fundació La Marató TV3, the European Union's Horizon 2020 Research and Innovation Programme, Pas a Pas, Save the Mama, Fundación Científica Asociación Española Contra el Cáncer, PhD4MDgrant of “Departament de Salut”, exp SLT008/18/00122, Fundación SEOM and ESMO. Any views, opinions, findings, conclusions, or recommendations expressed in this material are those solely of the author(s).
Keywords: Pre-menopause, Progesterone receptor, Hormone receptor positive, Breast cancer, Chemotherapy, Oestrogens
1. Introduction
Hormone receptor-positive (HR+) breast cancer is a major cause of cancer death [1]. Early-stage treatment consists of loco-regional therapy and adjuvant endocrine therapy [2]. (Neo)adjuvant chemotherapy is generally indicated for patients with high-risk HR+ tumours that usually have a high-proliferative state, which is a general biomarker of chemotherapy responsiveness [3,4]. In HR+ breast tumours with low-to-intermediate proliferation, however, recent results from three large, randomized adjuvant clinical trials (i.e., TailorX [3], MINDACT [4] and RxPONDER [5]) suggest that chemotherapy improves survival outcomes in pre-menopausal patients yet not in those who are post-menopausal. The biological explanation behind this observation remains unknown. On one hand, intrinsic genomic features of tumour cells in young women might render tumour cells more sensitive to chemotherapy [6]. On the other hand, chemotherapy's ability to induce ovarian failure or premature menopause is well-established [7]; hence, this could lead to a decrease of systemic levels of oestrogen [7], [8], [9], [10]. To optimize the treatment landscape of early-stage HR+ breast cancer, a better understanding of this clinical observation is needed because these alternative hypotheses could mean different treatment options for young women with breast cancer.
2. Methods
To address the potential anti-oestrogen effects of chemotherapy in breast cancer, we analyzed tumour samples from 4 clinical trials, 2 retrospective cohorts from the Hospital Clinic of Barcelona (HCB) and a publicly available cell line-derived dataset, as subsequently described.
Patient cohorts. The SOLTI-1402 CORALLEEN trial is an open-label, phase II parallel, two-arm, neoadjuvant trial, where 106 post-menopausal patients with stage I-IIIA HR+/HER2- negative and luminal B (by the standardized PAM50/Prosigna® assay) breast cancer were randomized 1:1 to receive either six cycles of 28 days of oral ribociclib 600mg once daily on a 3 weeks-on 1week-off schedule plus continuous letrozole 2.5 mg once daily or standard neoadjuvant chemotherapy with four cycles of doxorubicin 60mg/m2 and cyclophosphamide 600mg/m2 intravenous (IV) every 21 days followed by paclitaxel 80mg/m2 during 12 weeks. Tumour samples were collected at baseline and at surgery, and subsequently formalin-fixed paraffin-embedded (FFPE) according to protocol. The main results of the SOLTI-CORALLEEN trial have been previously reported [11]. This study is registered in ClinicalTrials.gov with number NCT03248427 and is completed.
SOLTI-1501 VENTANA trial is a neoadjuvant phase II trial that randomized a total of 61 post-menopausal patients diagnosed with stage I-IIIA HR+/HER2-negative breast to receive either letrozole 2.5 mg daily, oral metronomic vinorelbine 50 mg 3 days a week or letrozole 2.5 mg daily and oral metronomic vinorelbine 50 mg three times a week for 3 weeks. Tumour samples were collected at baseline and after 3 weeks of letrozole treatment and subsequently FFPE according to protocol. The main results of the SOLTI-1501 VENTANA have been previously reported [12]. This study is registered in ClinicalTrials.gov with number NCT02802748 and is completed.
The PAMELA trial is a non-randomized, open label, multicentric phase II study of neoadjuvant dual HER2 blockade therapy without chemotherapy, where 151 patients with early HER2+ breast cancer were treated with neoadjuvant lapatinib (1,000 mg daily) and trastuzumab (8 mg/kg i.v. loading dose followed by 6 mg/kg) for 18 weeks. Patients with HR+ breast cancer received letrozole or tamoxifen according to menopausal status. The main results of the PAMELA trial have been previously reported [13]. Tumour samples were collected at baseline, day 14 and surgery and subsequently formalin-fixed paraffin-embedded (FFPE) according to protocol. This study is registered in ClinicalTrials.gov with number NCT01973660 and is completed.
SOLTI-1007 NEOERIBULIN trial is a neoadjuvant phase II, single-arm trial that included 174 stage II-III HER2-negative breast cancer patients (73 triple-negative and 101 HR+/HER2-negative) to receive 1.4 mg/m2 of eribulin intravenously on days 1 and 8 every 21-day cycle, for 4 cycles. Tumour samples were collected at baseline and at surgery and subsequently FFPE according to protocol. The main results of the SOLTI-1007 NEOERIBULIN study have been previously reported [14]. This study is registered in ClinicalTrials.gov with number NCT01669252 and is completed.
Hospital Clinic HR+/HER2-negative neoadjuvant cohort is a retrospective cohort of 40 patients diagnosed with stage II-III HR+/HER2-negative breast cancer (13 pre-menopausal and 27 post- menopausal), between 2015-2018 at the HCB. All patients received an anthracycline/taxane-based neoadjuvant chemotherapy. Tumour samples were collected at baseline and surgery and subsequently FFPE.
Hospital Clinic HER2+ neoadjuvant cohort is a retrospective cohort of 73 pre-menopausal and post-menopausal patients diagnosed with HER2+ early stage (II/III) breast treated with neoadjuvant anti-HER2-based multi-agent chemotherapy between 2008 and 2017 at the HCB. FFPE tumour samples were collected at baseline and surgery (if residual disease).
2.1. Ethics
Each study was conducted according to the Declaration of Helsinki. For each one of the previously mentioned patient cohorts, an informed consent for study participation had been previously obtained from all patients enrolled in each individual study. HCB cohorts included patients in observational studies for which Ethic approval was granted by the ethics committee of the HCB (IRB: HCB/2021/0007 and HCB/2015/0491). All other cohorts proceeded from clinical trials that were approved by independent ethics committees at each centre, as specified in the respective publications.
RNA extraction. RNA was extracted from formalin-fixed paraffin-embedded tumour samples from the HCB neoadjuvant HER2+ cohort, the SOLTI-CORALLEEN, SOLTI-VENTANA, PAMELA and SOLTI-NEOERIBULIN trials using the High Pure FFPET RNA isolation kit (Roche, Indianapolis, IN, USA). At least 1–5 10 μm FFPE slides were used for each tumour specimen, and macrodissection was performed to avoid contamination with normal breast tissue, if needed. RNA was quantified at the NanoDrop spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA).
Gene expression analysis. A minimum of 100 ng of total RNA was used to measure gene expression across the SOLTI-CORALLEEN, SOLTI-VENTANA, PAMELA and SOLTI- NEOERIBULIN trials and 1 neoadjuvant cohort of the HCB using the nCounter platform (NanoString Technologies, Seattle, Washington, USA). In SOLTI-CORALLEEN and SOLTI-VENTANA, we used the nCounter® Breast Cancer 360™ panel, which includes 771 breast cancer-related genes. In PAMELA, a custom made codeset of 560 breast cancer-related genes was used. In SOLTI-NEOERIBULIN, a custom made codeset of 540 breast cancer-related genes was used. In the neoadjuvant cohort of the HCB, a custom made codeset of 60 genes was used. Across the 5 studies, genomic data were normalized using 5 housekeeping genes (ACTB, MRPL19, PSMC4, RPLP0 and SF3A1) and log2 transformed. Expression counts were then normalized using the nSolver 4.0 software and custom scripts in R 3.6.1.
Immunohistochemistry. Hematoxylin and eosin (H/E) staining was performed to confirm the presence of invasive tumour cells (≥10%) and determine the minimum tumour surface area (4 mm2). Progesterone receptor (PR) expression was identified using the 1E2 rabbit monoclonal primary antibody (Ventana Medical Systems). PR-negative disease was defined as less than 1% of positive tumour cells.
Genomic analysis on MCF7 cell line. Microarray-based gene expression data was obtained from GEO GSE119552 (available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE119552). In the original study, MCF7 breast cancer cell line was cultured for at least 24 h in steroid- and serum-deprived DMEM without phenol red and with 1.5% charcoal/dextran-stripped FBS (Biowest). Cells were treated for 24h with solvent as a control or 10−9 M E2. RNA was extracted and gene expression analysis was performed using Agilent SurePrint G3 Human GE v2 8 × 60 microarrays [15].
Statistical analysis. To identify genes whose expression was significantly different between paired samples (i.e., baseline versus after treatment) or unpaired samples (i.e., different MCF-7 cell lines treated with control or E2) we used a two-class paired or a multiclass Significance Analysis of Microarray (SAM), respectively, with a false discovery rate (FDR)<5% [16]. The SAM provides for each gene analyzed the standardized mean difference between the gene's expression in a class (e.g., a cell line, a patient cohort etc.), versus its overall mean expression in the dataset. The algorithm applies a t-test at the individual gene level to determine whether the expression pattern for that gene is significant and is able to identify up/down-regulated genes by determining the deviations between observed and expected relative differences, considering a prespecified cut-off for the FDR. This is the rate at which a gene will be incorrectly identified as significant [16]. Paired or unpaired Student's t test, Mann-Whitney test and ANOVA were conducted whenever appropriate to compare continuous variables between groups. Univariate logistic regression was performed to evaluate the association between PR expression according to menopausal status in the HER2-negative HCB chemo-treated cohort. All statistical tests were two-sided, and the statistical significance level was set to <0.05. All analyses were performed using R software version 4.0.2.
2.2. Role of funding source
The funders had no role in study design, data collection, data analyses, interpretation, or writing of this report. All authors had full access to all the data in the study and had final responsibility for the decision to submit for publication.
3. Results
First, we analyzed tumour samples from the SOLTI-CORALLEEN phase II clinical trial [11]. 106 post-menopausal patients with newly diagnosed stage II-III hormone-dependent luminal B breast cancers were randomized to either standard neoadjuvant anthracycline/taxane-based chemotherapy or endocrine therapy (ET) of letrozole in combination with ribociclib, a CDK4/6 inhibitor, for 6 months (Fig 1a). We performed gene expression profiling of 771 breast cancer-related genes in pretreatment tumours, and in residual tumours at surgery, using the nCounter platform (Nanostring Technologies, Seattle, USA). Within each arm, a gene list of the top-100 downregulated genes by each therapy was obtained using a two-class paired SAM. When we compared both gene lists, 81 of 100 genes (81%) were common in both treatment arms including many proliferation-related genes (e.g., MKI67, TOP2A and EXO1). A total of 19 genes were found downregulated in the ET-based arm-only (Fig 1b), including known oestrogen-regulated genes such as progesterone receptor (PGR) [17], cyclin D1 (CCND1) [18], the trefoil factor 1 (TFF1) [19], TFF3 [20], proliferating cell nuclear antigen (PCNA) and E2F transcription factor 1 (E2F1) [21]. Of note, PGR, TFF1 and TFF3 have been previously correlated with plasma estradiol levels in HR+ breast cancer in post-menopausal women [22].
To confirm these results, we first evaluated the expression of the 19 oestrogen-regulated genes using the nCounter platform in an independent dataset of 20 post-menopausal patients with newly diagnosed HR+/HER2-negative breast cancer (80% Luminal A, 15% Luminal B and 5% normal-like) treated for 3 weeks with letrozole monotherapy in the SOLTI-VENTANA clinical trial (Fig 1c-d) [12]. As expected, all genes, including PGR (Fig 1e), were found significantly downregulated in the post-treatment samples (Fig 1d). Secondly, MCF7 ER+/HER2-negative cell line treated in vitro with 10−9 M estradiol (E2) showed a general up-regulation of the 19-gene signature, including PGR, which showed a 6.1-fold up-regulation (Fig 1f). Finally, PGR was also found down-regulated by 2 weeks of anti-oestrogen therapy (i.e., tamoxifen or letrozole) in combination with anti-HER2-based therapy (i.e. trastuzumab plus lapatinib) in pre-menopausal and post-menopausal patients with HR+/HER2+/Luminal A or B early-stage breast cancer in the PAMELA phase II clinical trial [13]. In contrast, anti-HER2 therapy alone for 2 weeks did not decrease PGR expression but conversely increased its expression in HR-negative/HER2+ early-stage breast cancer, consistent with our previous study showing that anti-HER2 therapy induces a luminal phenotype [23].
Our previous results identified 19 oestrogen-regulated genes in HR+ breast cancer. To evaluate the oestrogen signaling pathway during chemotherapy, we analyzed tumour samples from the phase II neoadjuvant SOLTI-NEOERIBULIN trial [14], in which 83 patients (35 pre-menopausal and 48 post-menopausal) with newly diagnosed HR+/HER2-negative breast cancer (40% Luminal A, 39% Luminal B, 11% normal-like, 8% Basal-like and 2% HER2-enriched) received 4 cycles (i.e., 12 weeks) of eribulin in monotherapy, an anti-microtubule agent (Fig 2a). We performed gene expression profiling of pretreatment and residual tumours at surgery using the nCounter platform. Strikingly, PGR was found significantly downregulated only in pre-menopausal patients (Fig 2b). We observed similar findings with the other 19 oestrogen-regulated genes (Fig 2c). Conversely, no oestrogen-regulated gene was found differentialy expressed in 55 patients (12 pre-menoapusal and 33 post-menopausal) with triple-negative breast cancer in the SOLTI-NEOERIBULIN according to menopausal status (data not shown). This result provided direct evidence that chemotherapy induces an anti-oestrogen effect in hormone-dependent tumour cells in pre-menopausal patients. Interestingly, 80% (4 of 5) of the pre-menopausal patients with HR+/HER2-negative breast cancer and age <40 had a 3-fold decrease of PGR compared to 23.3% (7 of 30) pre-menopausal patients with age ≥40 (p=0.026).
Progesterone receptor (PR) has been identified as a marker of oestrogenicity in numerous studies spanning 3 decades [22,24]. To further explore the modulation of PR by chemotherapy in residual tumours according to menopausal status, we evaluated the protein levels by immunohistochemistry in an independent dataset of the 40 patients (13 pre-menopausal and 27 post-menopausal) with newly diagnosed ER+/PR+/HER2-negative breast cancer treated with neoadjuvant anthracycline/taxane-based chemotherapy at the HCB (Fig 2d). The proportion of PR-negative disease in residual tumours at surgery was 9 of 13 (69.2%) in pre-menopausal patients and 4 of 27 (14.8%) in post-menopausal patients (odds ratio=4.70; p-value=0.001). Consistent with this finding, a previous study observed decreased PR expression at residual tumours among pre-menopausal patients treated with neoadjuvant chemotherapy, but not post-menopausal patients [25]. Finally, we explored the ability of chemotherapy to reduce the levels of PGR in 73 pre-menopausal and post-menopausal patients with HER2+ early-stage breast treated with neoadjuvant anti-HER2-based multi-agent chemotherapy at the HCB (Fig 2e). Consistent with previous findings, a mean decrease in PGR levels was only observed in pre-menopausal patients with HR+/HER2+ disease (Fig 2f).
4. Discussion
To our knowledge, this is the first report to provide biological evidence that the benefit of chemotherapy in pre-menopausal patients with a newly diagnosed oestrogen-dependent breast cancer is likely due to the suppression of the ovarian function induced by chemotherapy. This effect is similar to the anti-oestrogen effect induced by an aromatase inhibitor in post-menopausal patients, where oestrogen biosynthesis is suppressed in peripheral tissues through the inhibition of the aromatization of androgens to oestrogens [8]. However, differently from what occurs in menopause, the predominant source of oestrogens in pre-menopausal women is the ovary. Thus, the most likely explanation of our findings is that chemotherapy induces ovarian function suppression in pre-menopausal patients, leading to lower systemic levels of estradiol, which then causes reduced expression of oestrogen/oestrogen-receptor regulated genes in tumour cells. Our findings could explain, in part or in total, the recent clinical findings from TailorX [3], MINDACT [4] and RxPONDER [5] randomized trials in >10,000 patients with HR+/HER2-negative breast cancer with a genomic low-risk by OncotypeDX or MammaPrint, which are biomarkers largely tracking tumour cell proliferation. In these studies, unlike post-menopausal patients, pre-menopausal patients obtained survival benefit from adjuvant chemotherapy. This survival benefit of chemotherapy was also observed in pre-menopausal patients with very low proliferation status (i.e., recurrence score of 0-14 by OncotypeDX in RxPONDER) [5]. Of note, the proportion of patients receiving luteinizing hormone-releasing hormone (LHRH) analogues in these trials was less than 20% [3], [4], [5]. These results reinforce our hypothesis that the benefit induced by chemotherapy in pre-menopausal women is directly related to its ability to induce ovarian function suppression.
Our study present some limitations that need to be acknowledged. Firstly, this is a retrospective and exploratory analyses from available datasets, with all the known limitations and biases concerning sample and dataset availability. Secondly, we had no data regarding patients’ oestradiol (E2), FSH and LH blood levels. Consequently, we could not assess any direct correlation between ovarian function and the molecular findings. Finally, the different patients cohorts proceeded from different prospective interventional and observational multicentre clinical trials, being thus prone to a selection bias. In this regard, it would be useful to expand on the results of the present study by performing confirmatory analyses on tissues from a broader number of patients in wider randomized trials [26], [27], [28], [29], [30], [31]. Nonetheless, results are consistent between similar cohorts and cell lines assays and provide a coherent explanation of the clinical results observed in TailorX [3], MINDACT [4] and RxPONDER [5] trials.
In summary, we have shown that chemotherapy (i.e., eribulin or anthracycline/taxane-based chemotherapy) exerts an anti-oestrogenic biological effect on tumour samples from pre-menopausal patients, which is very similar to that observed with aromatase inhibitors on tumour samples from post-menopausal women. Our chemo-induced endocrine signature, not previously reported, to our knowledge, strongly supports the lengthily accepted hypothesis that at least a substantial proportion of the survival gain obtained from chemotherapy in pre-menopausal women is due to an endocrine effect, most likely via a decrease in global estradiol levels secondary to ovarian function suppression[10, 32]. This is in line with results of several phase 3 trials and one subsequent meta-analysis showing similar outcomes for adjuvant LHRH analogue treatment, alone or added to chemotherapy, versus chemotherapy for all pre-menopausal population with ER+ breast cancer [33]. Interestingly, survival benefits with the addition of LHRH analogues to chemotherapy were only seen in younger women (<40 years), precisely those with lower probability of definitive chemo-induced amenorrhea [33]. Indeed, a non-meaningless proportion of women experience recovery of estradiol and FSH levels to pre-menopausal range in the subsequent months[34, 35]. In this context, pivotal phase 3 trials such as SOFT, TEXT and ASTTRA have established the superiority of adding ovarian function suppression to an aromatase inhibitor/tamoxifen versus tamoxifen alone in pre-menopausal women with HR+ early- stage breast cancer [35, 36]. However, whether LHRH analogues can be used to substitute the endocrine effects of chemotherapy and obtain similar survival outcomes is currently unknown. Nonetheless, our translational study gives consistency to this hypothesis. Finally, a large phase III clinical trial with survival outcome as the primary endpoint is likely needed to demonstrate the endocrine effects of chemotherapy in pre-menopausal patients. This trial could randomize pre-menopausal patients with early-stage HR+/HER2-negative breast cancer to chemotherapy versus no chemotherapy, where all patients are subjected to ovarian function suppression.
To conclude, despite some limitations, our results proffer a strong rationale to develop and/or test effective and more targeted anti-oestrogen treatment strategies in pre-menopausal patients. For example, LHRH modulators could be evaluated to decrease or avoid the use of systemic chemotherapy in hormone-dependent breast cancer. In this context, the capacity of each treatment strategy, including different LHRH modulators and schedules, to afffect ovarian and ER function might be of critical importance [8,37]. For instance, LHRH modulators such as degarelix (i.e., a potent LHRH antagonist) achieves a faster ovarian function suppression, which is more effectively maintained compared to triptorelin (i.e., a LHRH agonist) [38]; thus, the magnitude of ovarian function suppression might be important [8,37]. Another relevant aspect to consider is the existence of a direct cytotoxic effect of chemotherapy on tumour cells, which is likely to be related to their proliferative status (i.e., more tumour proliferation, more benefit from chemotherapy). Future trials in pre-menopausal early-stage hormone-dependent breast cancer to de-escalate and/or escalate systemic therapy should be designed with these results in mind, including hormone-dependent HER2+ breast cancer.
Contributions
AP had the idea for and designed the study. JC and AP were the principal investigator of the SOLTI-NEOERIBULN trial. JG and AP were the principal investigators of the SOLTI-CORALLEEN trial. AP was the principal investigator of the SOLTI-VENTANA trial. NC, FS, ES, FB-M, DM, PG, BG-F, TP contributed to data collection and assembly. NC and FS wrote the manuscript. All authors had full access to all the data in the study, discussed and interpreted the results, revised and approved the final manuscript and accepted responsibility to submit for publication.
Declaration of Competing Interest
Dr. Prat reports grants and personal fees from Pfizer, grants and personal fees from Lilly, personal fees from Nanostring tecnologies, grants and personal fees from Amgen, grants from Roche, personal fees from Oncolytics Biotech, personal fees from Daiichi Sankyo, personal fees from PUMA, personal fees from BMS, from Daiichi Sankyo, outside the submitted work. Dr. Perou reports personal fees from Bioclassifier LLC, outside the submitted work; in addition, Dr. Perou has a U.S. Patent No. 12,995,459 with royalties paid. Dr. Saura reports personal fees from AstraZeneca, Daiichi Sankyo, Eisai, Exact Sciences, Exeter Pharma, F. Hoffmann - La Roche Ltd, MediTech, Merck Sharp & Dohme, Novartis, Pfizer, Philips, Piere Fabre, Puma, Roche Farma, Sanofi-Aventis, SeaGen, and Zymeworks outside the submitted work. Dr. Ciruelos reports personal fees from Roche, Pfizer, Lilly, Novartis, Astra-Zeneca/Daiichy Sankio and from MSD outside the submitted work. Dr. Gavilá reports grants from Novartis, Pfizer, Astra-Zeneca and Lilly, outside the submitted work. Dr. Soberino reports grants and personal fees from MSD, grants from Sanofi and personal fees from Roche outside the submitted work. Dr. Carey reports uncompensed relationship with Sanofi, G1 Therapeutics, Genentech/Roche, AstraZeneca/Daiichi Sankyo, Apitude Health and Exact Sciences; in addition Dr. Carey declared that Companies who have provided research funds to her institution in the past 1–2 years were Syndax, Immunomedics, Novartis, Nanostring technologies, Abbvie, Seattle Genetics and Veracyte, outside the submitted work. Dr Bellett declares advisory board participation for Lilly, Pfizer and Novartis, as well as travel expenses from Pfizer, outside the submitted work. Dr. Muñoz reports expert testimony for Eisai, Novartis and Roche, advisory board for Pierre Fabre and travel grants from Lilly, Pfizer and Roche, outside the submitted work. Dr. Oliveira reports grants from Pfizer, grants, personal fees and non-financial support from Roche, grants and personal fees from Genentech, grants, personal fees and non-financial support from Novartis, grants and personal fees from Seattle Genetics, grants and personal fees from Astra-Zeneca, grants and personal fees from PUMA Biotechnolgy, grants from Immunomedics, grants from Boehringer-Ingelheim, non-financial support from Eisai, Grunenthal, GP Pharma and Pierre Fabre, outside the submitted work. Dr. Pernas reports personal fees and non-financial support from Novartis, personal fees from AstraZeneca, Daiichi-Sankyo, Polyphor, Seattle Genetics, Eisai, Roche and Pierre-Fabre, outside the submitted work. Dr. Cortes reports personal fees and travel expenses from Pfizer, personal fees from Lilly, Servier, Athenex, personal fees and travel expenses and advisory/honoraria from Roche, personal fees from Polyphor, personal fees and travel expenses from Daiichi Sankyo, Novartis and Eisai, personal fees from MSD, GSK, Astra-Zeneca, Celgene, Cellestia, Biothera, Merus, Seattle Genetics, Erytech, Leuko, Bioasis, Clovis Oncology, Boerhinger-Ingelheim, Samsung Bioepis, and stocks from MedSIR, outside the submitted work. The other authors have nothing to declare.
Acknowledgments
Acknowledgments
The authors are grateful to patients who participated in the trials and consented for their tumours to be analyzed for research purposes.
Data sharing statement
All requests for raw and analyzed data and materials will be promptly reviewed by the SOLTI Group to verify whether the request is subject to any intellectual property or confidentiality obligations. Patient-related data not included in the paper were generated as part of the clinical trial and might be subject to patient confidentiality restrictions. Any data and materials that can be shared will be released via a material transfer agreement. Raw counts for gene expression analysis are directly available as Supplementary Material 1.
Footnotes
Supplementary material associated with this article can be found in the online version at doi:10.1016/j.ebiom.2021.103451.
[Appendix. Supplementary materials
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