Literature DB >> 35135604

Unique ER PR expression pattern in breast cancers with CHEK2 mutation: a hormone receptor and HER2 analysis based on germline cancer predisposition genes.

Grace Wei1, Mingxiang Teng2, Marilin Rosa3, Xia Wang4.   

Abstract

PURPOSE: Estrogen-receptor (ER) and progesterone-receptor (PR) expression levels in breast cancer, which have been principally compared via binomial descriptors, can vary widely across tumors. We sought to characterize ER and PR expression levels using semi-quantitative analyses of receptor staining in germline pathogenic variant (PV) carriers of cancer predisposition genes.
METHODS: We conducted a retrospective chart review of patients who underwent germline genetic testing for cancer predisposition genes at a tertiary cancer center genetics clinic. We performed comparisons of semi-quantitative ER and PR percentage staining levels across carriers and non-carriers of cancer predisposition genes.
RESULTS: Breast cancers from BRCA1 PV carriers expressed significantly lower ER (15.2% vs 78.2%, p < 0.001) and lower PR (6.8% vs 41.1%, p < 0.001) staining compared to non-PV carriers. Similarly, breast cancers of BRCA2 (66.7% vs 78.2%, p = 0.005) and TP53 (50.6% vs 78.2%, p = 0.015) PV tumors also displayed moderate decreases in ER staining. Conversely, CHEK2 tumors displayed higher ER (93.1% vs 78.2%, p = 0.005) and PR (72% vs 48.8%, p = 0.001) staining when compared to non-PV carriers. We observed a wide range of dispersion across the ER and PR staining levels of the carriers and noncarriers. ER and PR ranges of dispersion of CHEK2 tumors were uniquely narrower than all other groups.
CONCLUSION: The findings of our study suggest that precise expression levels of ER and PR in breast cancers can vary widely. These differences are further augmented when comparing expression staining across PV and non-PV carriers, suggesting potentially unique tumorigenesis and progression pathways influenced by germline cancer predisposition genes.
© 2022. The Author(s).

Entities:  

Keywords:  Breast cancer; ER; Germline cancer predisposition gene; HER2; Hormone receptor expression; PR; Tumorigenesis

Mesh:

Substances:

Year:  2022        PMID: 35135604      PMCID: PMC8822747          DOI: 10.1186/s13058-022-01507-1

Source DB:  PubMed          Journal:  Breast Cancer Res        ISSN: 1465-5411            Impact factor:   6.466


Introduction

Estrogen, progesterone, and HER2 receptor statuses are important factors influencing breast cancer progression and have served as cornerstones for breast cancer classification and treatment. In recent decades, genomic instability has risen as a predictor of cancer outcomes and offers opportunity for targeted treatment. In a large cohort of breast cancer patients, genome instability profiles were found to predict mortality outcomes independent of clinicopathological parameters [1]. A number of breast cancer predisposition genes (ATM, BRCA1, BRCA2, CHEK2, TP53, and PALB2) are important gatekeepers to maintaining DNA replication fidelity by regulating DNA damage repair. Germline pathogenic variants (PVs) in these genes significantly increase the lifetime risk of breast cancer and the average age of cancer onset in these PV carriers is often earlier than that in the general population. ER and PR expression in breast cancer have primarily been studied via binomial comparisons, ER-positive (ER +) and ER-negative (ER-). Because estrogen is a key regulator of progesterone receptor synthesis in mammary tissue, the exact expression level of PR is often overlooked. However, PR levels can be quite variable even when ER is strongly expressed in breast tumor cells and the expression levels for both ER and PR can vary greatly in a tumor designated “ER/PR positive.” It is possible that differences in levels of ER and PR expression may lead to differential treatment responses and survival outcomes. Precise characterization of the ER and PR hormone receptors and HER2 expression levels of breast cancer arising in germline genetic PV carriers can help improve our prognostic understanding of these tumors and shed light on the tumorigenesis process. To address this gap, we investigated the ER and PR expression levels using semi-quantitative data analysis of ER and PR staining percentages in germline PV carriers of moderate and high penetrant breast cancer genes. To our knowledge, a semi-quantitative analysis of the hormonal receptor expression levels in this patient population has not yet been previously reported in the literature.

Methods

We conducted a retrospective chart review of a cohort (cohort A) composed of consecutive cases of 684 breast cancer patients who underwent germline panel genetic testing for cancer predisposition genes at the genetics clinic in Moffitt Cancer Center (MCC). Testing occurred between January 2015 and February 2018. We also reviewed another cohort (cohort B) composed of consecutive cases of individuals who had a prior diagnosis of breast cancer and pursued genetic high-risk cancer screening and surveillance in the MCC GeneHome clinic between March 2017 and September 2020 after being found to carry germline cancer predisposition PVs. These cases were combined with PV carriers in cohort A to form the study group. Cancer predisposition genes studied included moderate and high penetrant breast cancer genes, including BRCA1, BRCA2, PALB2, TP53, PTEN, CDH1, ATM, and CHEK2. Because mismatch repair genes are often tested in this patient population, carriers with Lynch syndrome mismatch repair gene PVs, namely MLH1, MSH2, MSH6 and PMS2, were included in this study. Individuals who tested negative for known cancer predisposition genes served as the reference (control) group for the analysis. We analyzed potential effects from multiple clinical variables, such as age, race, etc., and observed no significant bias or batch effects from these variables comparing the two cohorts. Combining cohort A and cohort B, we selected candidate cases for the study group based on the following inclusion criteria: adult female patients (≥ 18 years old) with a (1) clinical breast cancer diagnosis, (2) cancer predisposition germline genetic test result, (3) available records and data for primary breast cancer, and 4) available clinical grade ER and PR data expressed by the percentage of staining, as well as available HER2 status expressed as binomial category, positive or negative, determined by immunohistochemistry (Ventana PATHWAY® system) or by in situ hybridization (FISH or DISH). To minimize confounding, cases with PV on greater than one breast cancer risk gene were excluded from the analysis. Individual cases with PVs on both breast cancer genes and MMR genes were excluded. Duplicating cases found in both cohort A and cohort B were also excluded. ER and PR staining levels, based on the percentage of cell staining, were compared between PV carriers and non-PV carriers via Mann Whitney U at p > 0.05. Variable staining percentages were studied using coefficient of variation to characterize the degree of dispersion for each study group. Binomial ER, PR and HER2 expression (positive and negative) comparisons were assessed via chi-square analysis. This study was approved by the Moffitt Cancer Center IRB.

Results

Our cohort included a total of 613 cases. The average age at clinic presentation of non-PV carriers (n = 364) was 55.3 years and the average age at breast cancer diagnosis was 52.7 years. Among germline PV carriers (n = 249), the average at clinic presentation was 50.5 years and average age at cancer diagnosis was 47.1 years (Table 1). When compared with non-PV carriers, breast tumors from BRCA1 PV carriers expressed significantly lower ER (15.2% vs 78.2%, p < 0.001) and lower PR (6.8% vs 41.1%, p < 0.001) staining. In addition, BRCA2 (66.7% vs 78.2%, p = 0.005) and TP53 (50.6% vs 78.2%, p = 0.015) PV tumors also displayed moderately lower ER staining. Contrarily, CHEK2 tumors displayed higher ER (93.1% vs 78.2%, p = 0.005) and PR (72% vs 48.8%, p = 0.001) staining when compared to the reference group (Table 2). Furthermore, HER2-negative breast cancers were significantly more prevalent among BRCA1 (98.2% vs 77.7%, p < 0.001) and BRCA2 (95.0% vs 77.7%, p = 0.001) PV carriers than non-PV carriers (Table 3).
Table 1

Age at presentation and breast cancer diagnosis by germline PV carrier status

Age at presentation average (SD)(Median)Age at cancer diagnosis average (SD)(Median)
NonPV carriers55.3 (± 11.8) (55)52.7 (± 21.4) (49)
PV carriers50.5 (± 13.1) (50)47.1 (± 12.1) (46)
Table 2

Breast cancer ER/PR staining percentage based on germline PV status

Germline PVCase no. (N)ER%PR%
MeanSDp valueCVCV p valueMeanSDp valueCVCV p value
BRCA15715.233.60.0002.210.0006.820.90.0003.050.000
BRCA26066.738.90.0000.580.00744.738.00.1610.850.934
PALB22268.239.50.1110.580.08739.534.40.1560.870.867
ATM2283.229.20.5400.350.30655.839.30.3440.700.539
TP532150.647.50.0150.940.00040.645.00.3971.110.235
CHEK23993.117.80.0050.190.00071.735.40.0010.490.019
MMR1960.947.70.2810.780.00040.442.50.4451.050.324
PTEN698.03.82NCNCNC87.017.85NCNCNC
CDH1380.052.9NCNCNC70.040.4NCNCNC
Control/reference78.234.40.4441.10.84

PV: Pathogenic variant; SD: Standard deviation; CV: Coefficient of variation; MMR: Mismatch repair genes

Table 3

Breast cancer HER2 staining percentage by germline PV status

Case no. (N)HER2−HER2 + p value
BRCA15655 (98.2%)1 (1.8%)0.000
BRCA26057 (95.0%)3 (5.0%)0.001
PALB22220 (90.9%)2 (9.1%)0.186
ATM2217 (77.3%)5 (22.7%)1.000
TP532113 (61.9%)8 (38.1%)0.113
CHEK23931 (79.5%)8 (20.5%)1.000
MMRs1811 (61.1%)7 (38.9%)0.146
PTEN66 (100%)0 (0.0%)0.346
CDH133 (100%)0 (0.0%)1.000
Control/Reference355276 (77.7%)79 (22.3%)
Age at presentation and breast cancer diagnosis by germline PV carrier status Breast cancer ER/PR staining percentage based on germline PV status PV: Pathogenic variant; SD: Standard deviation; CV: Coefficient of variation; MMR: Mismatch repair genes Breast cancer HER2 staining percentage by germline PV status These results demonstrated significant dispersion in ER and PR percentage levels among both PV and non-PV carrier groups. However, the dispersion pattern of ER and PR percentage levels yielded particularly unique features for certain PV carriers (Table 2) (Fig. 1). Most strikingly, CHEK2 PV tumors exhibited significantly more staining and significantly lower dispersion of ER and PR values among all PV carriers or when compared with the reference group. It was evident that the lower standard deviation and lower coefficient of variance (CV) were considerably different than most other groups (ER: mean = 93.1 SD = 17.8 p = 0.005, CV = 0.19, p < 0.0001; PR: mean = 71.7 SD = 35.4 p = 0.001, CV = 0.49, p = 0.019).
Fig. 1

Breast tumor ER/PR staining percentages by germline genes

Breast tumor ER/PR staining percentages by germline genes HER2 positive (HER2 +) tumors were less common in BRCA1 and BRCA2 tumors (Table 3). TNBCs (triple negative breast cancers, ER-, PR-, and HER2-) were more commonly found in carriers with BRCA1, BRCA2 or PALB2 PVs (Table 4). ER + /PR- tumors appeared to be more common in non-PV tumors, however, differences did not reach statistical significance. Further, very few ER-/PR + tumors in PV or non-PV tumors were observed. Among these ER-/PR + tumors, the levels of PR staining were very low (< 5%). Regarding overall cancer history, prevalence of ER + /PR- breast cancers were significantly greater in patients with additional cancer diagnoses (17.5%) compared to patients with solely breast cancer diagnoses (10.6%) (p = 0.02). These additional cancer diagnoses included head and neck, thyroid, melanoma and non-melanoma skin cancers, pancreatic, renal, bladder, prostate, esophageal, uterine, ovarian, cervical, neuroendocrine, lymphoma, multiple myeloma, and sarcoma.
Table 4

TNBC, ER + /PR−, ER−PR + , based on germline PV

Germline PVCase NoTNBCER + /PR−ER-/PR + p value (TNBC)
BRCA15740 (70.2%)5 (8.8%)2 (3.5%)0.000
BRCA26012 (20.2%)5 (8.3%)0 (0%)0.000
PALB2223 (13.6%)1 (4.5%)0 (0%)0.003
ATM221 (4.5%)2 (9.1%)0 (0%)0.210
TP53210 (0%)2 (9.5%)1 (4.8%)1.000
CHEK2390 (0%)6 (15.4%)0 (0%)0.415
MMR191 (5.3%)2 (10.5%)0 (0%)0.185
PTEN60 (0%)1 (16.7%)0 (0%)1.000
CDH131 (33.3%)0 (0%)0 (0%)1.000
Control3643 (0.8%)82 (22.5%)13 (3.6%)
TNBC, ER + /PR−, ER−PR + , based on germline PV

Discussion

Estrogen receptors and progesterone receptors are overexpressed in the majority of human breast cancers. Blocking estrogen facilitated cell proliferation has been a major component of the breast cancer treatment for more than three decades. Approximately 82% of breast cancers are ER + and/or PR + (HR positive means ER + and/or PR + , TNBC 12.2%; HR−/HER2 + 4.5%, TPBC 10.3%, HR + /HER2− 72.2%) [2]. Estrogen is a known key regulator of progesterone receptor synthesis in mammary tissue, thus anti-hormone breast cancer treatment has generally been guided by ER level, irrespective of PR level. However, the expression levels of ER and PR can vary significantly and even become divergent in some breast tumors, such as those with ER + /PR− or ER-/PR + statuses. Thus, there is a growing suspicion that the effects of estrogen, progesterone and their receptors in breast tissue are not equal. Indeed, multiple reports have suggested poor prognosis of ER + /PR− breast cancer in older affected populations [3]. There is growing knowledge that hormone receptor expression levels are influenced by germline breast cancer predisposition gene defects. It is known that carriers of BRCA1 PVs tend to develop ER-/PR-/HER2-, i.e. triple negative breast cancers (TNBC) [4], while carriers of BRCA2 PVs tend to develop ER + /PR + breast cancers, similar to sporadic forms lacking germline predispositions. TNBCs are clinically aggressive and occur more often in younger women. BRCA2 defective tumors are more consistent with luminal B molecular subtype, a subtype generally only found in one-fifth of non-selected breast tumors. The prognosis of luminal B type is also inferior to the luminal A type found in more than 50% of breast cancers [5, 6]. The roles of hormone and hormone receptor expression during tumorigenesis and progression are complex [7, 8]. Population studies have suggested a difference in estrogen and progesterone influences on breast cancer disease processes. Chlebowski et al. demonstrated dramatic differences on the impact of estrogen plus progesterone (E + P) therapy compared to estrogen alone on breast cancer incidence, whereby estrogen and progesterone combined increased breast cancer risk and estrogen alone decreased the risk [9]. The results of ER and PR expression patterns revealed by our study, particularly the higher degree of expression and decreased dispersion of ER/PR in CHEK2 tumors, suggests unique mechanisms of tumorigenesis, such as reduced diversity in tumor evolution on the backdrop of the CHEK2 haplo-insufficiency. Many tumor suppressor genes, such as ATM, CHEK2, BRCA1, BRCA2, PALB2, and TP53 function in a vast network of DNA damage repair responses and cell cycle check point regulations. Notably, CHEK2 functions in the same DNA repair landscape as BRCA1, BRCA2, PALB2, and TP53, however, the ER and PR expression levels of CHEK2 tumor differ significantly from all other tumors, including PV and non-PV tumors. Clinically, the variability of ER/PR expression levels may be tied to responsiveness to anti-hormonal therapies. The higher levels of dispersion of ER/PR expression may indicate more dynamic tumor evolution, rendering tumors to be more or less responsive to certain systemic or radiation therapies. Future research utilizing multi-institutional large cohort and longitudinal studies are needed to better elucidate differences in responsiveness to therapy and survival between various germline PV carriers. This improved understanding of the mechanisms underlying ER/PR expression levels and the associated dispersion of levels may benefit cancer precision care, diagnostics, surveillance or treatment for women at risk for breast cancer. The significance of the results of this study should be viewed in light of study limitations. Instead of an unselected sporadic breast cancer population, the reference (control) group represents a unique population of patients who developed breast cancer at a relatively younger age and frequently with a family history of breast cancer. The reference cohort was mainly composed of females who came to pursue cancer genetic counseling and testing. Suspicions for hereditary risk of breast cancer are often triggered by personal and/or family history of early age at breast cancer diagnosis, multiple relatives affected with breast cancer, or other cancers associated with genetic predisposition, such as ovarian cancer, endometrial cancer, prostate cancer or pancreatic cancer. One of the major criteria to suspect BRCA1 germline pathogenic variants and recommend genetic test is TNBC, even if it was diagnosed at an older age. This likely is responsible for the observation of more ER-/PR- cases reported (24.4%) in this cohort than average non-selected breast cancers in the general population (16.8%). Potential for sample selection bias (potential batch differences) between cohort A and B were minimized, as all participants were drawn from the same population seeking cancer predisposition genetic testing. This study confirmed previous known patterns, including that ER-/PR- breast cancers are more often seen in BRCA1 PV carriers, in younger females, whereas ER + /PR + breast cancers are more often seen in BRCA2 PV carriers [[10]]. ER + /PR + tumor occur more commonly in other high and moderate breast risk gene PV carriers. Germline defective BRCA1 is a known strong driver for the ER-/PR- breast cancer, and approximately 80% are ER−/PR− in women carrying BRCA1 PVs. BRCA1 PV is also strongly associated with a very early onset breast cancer under age 35. Finally, ER + /PR- breast cancers were found in 10.6% of cases with one breast cancer only compared to 17.5% with breast cancer and an additional cancer diagnosis, p = 0.02.

Conclusion

Among breast cancer developed in PV and non-PV carriers, ER and PR staining levels demonstrated very wide ranges of dispersion. The ER ranges of dispersion were significantly wider for BRCA2, TP53, and MMR genes tumors compared to the reference group, while ER and PR ranges of dispersion of CHEK2 tumors were significantly narrower than all other groups including the non-PV tumor reference groups. Some of the tumor suppressor PV carriers (BRCA1, BRCA2, TP53) developed tumors with less ER expression, while CHEK2 tumors exhibited higher expression for both ER and PR. The results of this study suggest unique tumorigenesis pathways in CHEK2 germline PV carriers. In addition, HER2-positive tumors were significantly less common in BRCA1 and BRCA2 tumors when compared with non-PV carriers.
  10 in total

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Authors:  Nasim Mavaddat; Daniel Barrowdale; Irene L Andrulis; Susan M Domchek; Diana Eccles; Heli Nevanlinna; Susan J Ramus; Amanda Spurdle; Mark Robson; Mark Sherman; Anna Marie Mulligan; Fergus J Couch; Christoph Engel; Lesley McGuffog; Sue Healey; Olga M Sinilnikova; Melissa C Southey; Mary Beth Terry; David Goldgar; Frances O'Malley; Esther M John; Ramunas Janavicius; Laima Tihomirova; Thomas V O Hansen; Finn C Nielsen; Ana Osorio; Alexandra Stavropoulou; Javier Benítez; Siranoush Manoukian; Bernard Peissel; Monica Barile; Sara Volorio; Barbara Pasini; Riccardo Dolcetti; Anna Laura Putignano; Laura Ottini; Paolo Radice; Ute Hamann; Muhammad U Rashid; Frans B Hogervorst; Mieke Kriege; Rob B van der Luijt; Susan Peock; Debra Frost; D Gareth Evans; Carole Brewer; Lisa Walker; Mark T Rogers; Lucy E Side; Catherine Houghton; JoEllen Weaver; Andrew K Godwin; Rita K Schmutzler; Barbara Wappenschmidt; Alfons Meindl; Karin Kast; Norbert Arnold; Dieter Niederacher; Christian Sutter; Helmut Deissler; Doroteha Gadzicki; Sabine Preisler-Adams; Raymonda Varon-Mateeva; Ines Schönbuchner; Heidrun Gevensleben; Dominique Stoppa-Lyonnet; Muriel Belotti; Laure Barjhoux; Claudine Isaacs; Beth N Peshkin; Trinidad Caldes; Miguel de la Hoya; Carmen Cañadas; Tuomas Heikkinen; Päivi Heikkilä; Kristiina Aittomäki; Ignacio Blanco; Conxi Lazaro; Joan Brunet; Bjarni A Agnarsson; Adalgeir Arason; Rosa B Barkardottir; Martine Dumont; Jacques Simard; Marco Montagna; Simona Agata; Emma D'Andrea; Max Yan; Stephen Fox; Timothy R Rebbeck; Wendy Rubinstein; Nadine Tung; Judy E Garber; Xianshu Wang; Zachary Fredericksen; Vernon S Pankratz; Noralane M Lindor; Csilla Szabo; Kenneth Offit; Rita Sakr; Mia M Gaudet; Christian F Singer; Muy-Kheng Tea; Christine Rappaport; Phuong L Mai; Mark H Greene; Anna Sokolenko; Evgeny Imyanitov; Amanda Ewart Toland; Leigha Senter; Kevin Sweet; Mads Thomassen; Anne-Marie Gerdes; Torben Kruse; Maria Caligo; Paolo Aretini; Johanna Rantala; Anna von Wachenfeld; Karin Henriksson; Linda Steele; Susan L Neuhausen; Robert Nussbaum; Mary Beattie; Kunle Odunsi; Lara Sucheston; Simon A Gayther; Kate Nathanson; Jenny Gross; Christine Walsh; Beth Karlan; Georgia Chenevix-Trench; Douglas F Easton; Antonis C Antoniou
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-12-05       Impact factor: 4.254

2.  Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer.

Authors:  Annette Lischka; Natalie Doberstein; Sandra Freitag-Wolf; Ayla Koçak; Timo Gemoll; Kerstin Heselmeyer-Haddad; Thomas Ried; Gert Auer; Jens K Habermann
Journal:  Clin Cancer Res       Date:  2020-06-10       Impact factor: 12.531

3.  Progesterone Exposure and Breast Cancer Risk: Understanding the Biological Roots.

Authors:  Purna A Joshi; Pamela J Goodwin; Rama Khokha
Journal:  JAMA Oncol       Date:  2015-06       Impact factor: 31.777

4.  Progesterone induces adult mammary stem cell expansion.

Authors:  Purna A Joshi; Hartland W Jackson; Alexander G Beristain; Marco A Di Grappa; Patricia A Mote; Christine L Clarke; John Stingl; Paul D Waterhouse; Rama Khokha
Journal:  Nature       Date:  2010-06-10       Impact factor: 49.962

5.  Estrogen receptor-positive, progesterone receptor-negative breast cancer: association with growth factor receptor expression and tamoxifen resistance.

Authors:  Grazia Arpino; Heidi Weiss; Adrian V Lee; Rachel Schiff; Sabino De Placido; C Kent Osborne; Richard M Elledge
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6.  Breast Cancer After Use of Estrogen Plus Progestin and Estrogen Alone: Analyses of Data From 2 Women's Health Initiative Randomized Clinical Trials.

Authors:  Rowan T Chlebowski; Thomas E Rohan; JoAnn E Manson; Aaron K Aragaki; Andrew Kaunitz; Marcia L Stefanick; Michael S Simon; Karen C Johnson; Jean Wactawski-Wende; Mary J O'Sullivan; Lucile L Adams-Campbell; Rami Nassir; Lawrence S Lessin; Ross L Prentice
Journal:  JAMA Oncol       Date:  2015-06       Impact factor: 31.777

7.  US incidence of breast cancer subtypes defined by joint hormone receptor and HER2 status.

Authors:  Nadia Howlader; Sean F Altekruse; Christopher I Li; Vivien W Chen; Christina A Clarke; Lynn A G Ries; Kathleen A Cronin
Journal:  J Natl Cancer Inst       Date:  2014-04-28       Impact factor: 13.506

8.  Intrinsic subtypes from PAM50 gene expression assay in a population-based breast cancer cohort: differences by age, race, and tumor characteristics.

Authors:  Carol Sweeney; Philip S Bernard; Rachel E Factor; Marilyn L Kwan; Laurel A Habel; Charles P Quesenberry; Kaylynn Shakespear; Erin K Weltzien; Inge J Stijleman; Carole A Davis; Mark T W Ebbert; Adrienne Castillo; Lawrence H Kushi; Bette J Caan
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10.  Aberrant luminal progenitors as the candidate target population for basal tumor development in BRCA1 mutation carriers.

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