Literature DB >> 35647895

Definitive study shows no association between ARID1A mutation status and clinical outcome in endometriosis-related ovarian cancers.

Saira Khalique1, Sarah Nash1, Rachael Natrajan1.   

Abstract

The ARID1A tumour suppressor protein is a component of the SWI/SNF chromatin remodelling complex, which is mutated in approximately 20% of all human cancers. ARID1A mutational status is considered to hold prognostic significance in a range of solid malignancies, yet in endometriosis-related ovarian carcinomas there has been a lack of clarity of its prognostic role. Moreover, the relationship between ARID1A status and immune infiltrate is also poorly understood. In a recent issue of The Journal of Pathology, a large comprehensive study by Heinze, Nazeran et al addressed these areas by reviewing 1,623 endometriosis-associated ovarian carcinomas and correlating ARID1A status using standardised immunohistochemistry to infer mutation status, with comprehensive clinicopathological features, mismatch repair status and CD8+ tumour infiltrating lymphocytes. The study definitively showed that ARID1A status does not provide any independent prognostic value in endometriosis-associated ovarian carcinomas. ARID1A loss was, however, shown to be associated with mismatch repair deficiency and increased CD8+ tumour infiltrating lymphocytes in endometrioid ovarian carcinoma, which may be relevant for future studies.
© 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Entities:  

Keywords:  ARID1A; CD8 tumour infiltrating lymphocytes; biomarker; endometriosis-associated ovarian carcinomas; mismatch repair deficiency

Mesh:

Substances:

Year:  2022        PMID: 35647895      PMCID: PMC9540905          DOI: 10.1002/path.5973

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   9.883


The high prevalence of ARID1A mutations in endometriosis‐associated ovarian cancers (EAOCs), which include endometrioid ovarian carcinoma (ENOC) and clear cell ovarian carcinoma (CCOC), has led researchers to attempt to understand its significance with respect to clinical outcomes and the tumour immune microenvironment. Thus far there has been a lack of clarity on its prognostic role in ovarian carcinomas, with previous reports showing conflicting or lack of association between ARID1A status and clinical outcome. Studies using genetically engineered mouse models have shown that ARID1A deficiency leads to increases in tumour infiltrating lymphocytes (TILs), immune checkpoint activation and subsequent sensitisation to PD‐L1 checkpoint blockade, due to a proposed loss of interaction with the mismatch repair (MMR) protein MSH2 [1]. In patient samples, ARID1A loss has been associated with high CD8+ TILs in CCOC, although these studies have been limited by small sample size. To address these areas, Heinze, Nazeran et al [2] interrogated large‐scale international tissue collections to definitively correlate ARID1A mutational status as measured by protein loss using immunohistochemistry (IHC) with clinical information, MMR status and CD8+ TILs. ARID1A IHC has previously been shown to be a robust biomarker for detecting ARID1A loss of function mutations in gynaecological cancers [3]. Heinze and colleagues reviewed more than 5,000 ovarian carcinoma cases, including 1,623 EAOC (1,078 ENOC and 545 CCOC). They report a similar prevalence of ARID1A loss to published studies, with loss of ARID1A staining observed in 25% of ENOC and 42% of CCOCs, with retention of ARID1A protein in more than 95% of both low‐grade (n = 111) and high‐grade serous ovarian cancer cases (n = 2,548). Importantly, the authors showed that ARID1A loss is not an independent prognostic factor for either ENOC or CCOC when assessing a variety of survival metrics, including overall survival, progression‐free survival and disease‐specific survival. They confirmed, however, the importance of prognostic factors, such as the presence of residual disease and stage, with residual disease and higher stage being associated with poorer outcomes. A smaller cohort of tumours was assessed for CD8+ TILs within the tumour epithelium (933 ENOC and 480 CCOC), with ARID1A loss being associated with statistically significant higher CD8+ TILs in ENOC but not in CCOC, although a trend to higher CD8+ TILs was seen. A modest yet statistically significant overall survival benefit was observed in ENOC patients with high CD8+ TILs scores. No such trend was observed in CCOC. CD8+ TILs were significantly associated with MMR deficiency (MMRd) in ENOC and CCOC tumours, with an overall rate of MMRd of 13% of ENOC tumours and 5% of CCOC tumours. A significant association between ARID1A loss and MMRd was noted, present in 22% of all ENOC, highlighting that ARID1A loss is probably confounded by MMRd, given MMRd results in a high mutational burden in an otherwise genomically quiet tumour type. We would like to commend the authors on this impressive large‐scale international effort highlighting that ARID1A IHC is a reproducible and reliable test for loss of function mutational status, which can be used in mainstream pathology laboratories. Moreover, the authors provide clarity and definitive evidence of the lack of prognostic significance of ARID1A in EAOC. However, these results do not discount the importance of developing therapeutic strategies to target tumours with loss of ARID1A and the clinical relevance of investigating the possible predictive value of ARID1A for immune‐modulatory therapies, given the overall poor clinical outcome in these disease types. One approach utilising synthetic‐lethal approaches for targeting ARID1A‐deficient cancers with the ATR inhibitor ceralasertib with or without the  PARP (poly ADP ribose polymerase) inhibitor olaparib is being assessed in the ATARI phase II international proof‐of‐concept clinical trial. In this trial, ARID1A IHC is being used upfront to stratify patients with ovarian and endometrial clear cell carcinoma, together with other rare gynaecological tumours, into the two treatment arms depending on their ARID1A status. In this current study, the authors used tissue microarrays as a practical method for obtaining an initial insight into the pathology of each sample. One limitation is that a tissue microarray may fail to accurately capture subclonal staining patterns and intra‐tumoural heterogeneity. In addition, the logistics of sequencing large numbers of patient samples to assess tumour mutational burden and to determine POLE (DNA polymerase ε) status was not possible. Future studies incorporating these elements and serial patient samples would allow a deeper assessment with respect to modern molecular prognostic subtypes of ENOC, tumour evolution and responses to treatment. Overall, the authors showed that loss of ARID1A is associated with higher CD8+ TILs in ENOC and intra‐tumoural CD8+ immune cells suggestive of a possible role for immunotherapy. Low response rates have been demonstrated in initial clinical trials in relapsed ovarian cancer. However, CCOC has shown improved response rates compared with other epithelial ovarian cancers, including the highest response rate of 15.8% to pembrolizumab in the phase II KEYNOTE‐100 trial, compared with 8.5% in unselected ovarian cancer. NINJA, a randomised phase III trial in platinum‐resistant ovarian cancer patients, assessed nivolumab compared with chemotherapy, showing no statistically significant survival benefit, but a numerically longer overall survival in CCOC patients (Table 1 highlights ongoing relevant immunotherapy‐based trials). Although Heinze and colleagues show a significant association between ARID1A loss and MMRd, the clinical impact of MMR status in the context of ARID1A loss is not understood and the translational research from the above studies will help to further elucidate the relevance of ARID1A loss depending on MMR status and response to immunotherapy.
Table 1

Relevant immunotherapy trials in clear cell gynaecological cancers.

Study titlePhaseTreatmentPrimary aimsSecondary aimsPatients (n)Molecular targetIdentifier, Status
BrUOG 354 Nivolumab ± ipilimumab for ovarian and extra‐renal clear cell carcinomasIINivolumab ± ipilimumabPFSPFS62PD‐1 and CTLA4

NCT03355976

Recruiting

Nivolumab and ipilimumab in treating patients with rare tumoursIINivolumab and ipilimumabORRAE, BOR, CBR, OS, PFS707PD‐1 and CTLA4

NCT02834013

Recruiting

A multicentre phase II trial of durvalumab versus physician's choice chemotherapy in recurrent ovarian clear cell adenocarcinomas (MOCCA)IIDurvalumab versus standard cytotoxic chemotherapyPFSORR, OS, AE, QOL46PD‐L1

NCT03405454

Results awaited

A phase II study of pembrolizumab in patients with advanced gynaecological clear cell cancer (PEACOCC)IIPembrolizumabPFSQOL48PD‐1

NCT03425565 active not recruiting.

Results awaited

Phase II trial of lenvatinib plus pembrolizumAb in recurrent gynecological clear cell adenocarcinomas (LARA)IILenvatinib and pembrolizumabORRPFS, DOR10RTK (VEGFR1, VEGFR2, VEGFR3) and PD‐1

NCT04699071

Recruiting

AE, adverse event; BOR, best overall response; CBR, clinical benefit rate; DOR, duration of response; OS, overall survival; ORR, overall response rate; PFS, progression‐free survival; QOL, quality of life; RTK, receptor tyrosine kinase.

Relevant immunotherapy trials in clear cell gynaecological cancers. NCT03355976 Recruiting NCT02834013 Recruiting NCT03405454 Results awaited NCT03425565 active not recruiting. Results awaited NCT04699071 Recruiting AE, adverse event; BOR, best overall response; CBR, clinical benefit rate; DOR, duration of response; OS, overall survival; ORR, overall response rate; PFS, progression‐free survival; QOL, quality of life; RTK, receptor tyrosine kinase. Although the authors scored CD8+ cells, further key immune subpopulations and their spatial locations were not characterised and correlated with ARID1A mutational status and clinicopathological features. The CD8+ TILs scoring methodology was a semiquantitative approach that only considered CD8+ TILs within the epithelial component of the tumour, disregarding stromal CD8+ cells [2]. Recently, Khalique et al [4] quantified and assessed the spatial locations of various immune subpopulations in 31 microsatellite stable CCOCs using multiplexed immunofluorescence. ARID1A mutant cases showed significantly higher CD8+ cells and CD68+ cells (tumour‐associated macrophages, TAMs) in the stroma relative to tumour. The spatial location of these immune subpopulations has also been shown to hold clinical significance in a range of solid malignancies, such as colorectal, breast and lung cancer [5, 6, 7, 8]. In squamous lung cell cancer, for example, stromal TAMs have been shown to interact with stromal CD8+ cells, and this interaction results in a reduction in motility of CD8+ cells in the tumour microenvironment, ‘trapping’ them in the stroma and contributing to a T‐cell excluded tumour phenotype associated with worse outcome [9]. This interaction would suggest that targeting TAMs could be relevant in synergising immune checkpoint‐based immunotherapy in various tumour types, and in the context of endometriosis‐related ovarian cancers, specifically ARID1A‐mutated tumours. Khalique et al [4] also found significantly higher numbers of immunosuppressive subpopulations (TAMs and FOXP3+/CD4+ regulatory T‐cells) in the stroma relative to tumours of patients with improved outcomes, suggesting that the ‘tumour‐exclusion’ of these cells is important in maintaining an effective anti‐tumour immune response. It would be useful to validate these spatial findings in larger cohorts, such as that of Heinze, Nazeran et al [2]. Recent studies have additionally used gene expression profiling to identify prognostic gene expression signatures in CCOCs. Tan et al [10] identified two prognostic CCOC gene expression subtypes, including a mesenchymal subtype characterised by a high immune/inflammatory gene expression profile but not driven by CD8+‐specific signatures. Khalique et al [4] also identified and validated an immune‐related gene expression signature associated with clinical outcome in CCOC. Gene expression analysis in the large cohort of Heinze, Nazeran et al [2] would provide valuable additional data to prognosticate these tumours. This large current study highlights the importance of maintaining clinical databases (although this study was comprised of predominantly Caucasian patients), with international registry collaborations enabling a robust and powerful dataset with which one can draw definitive conclusions. ARID1A has been shown not to be an independent prognostic biomarker and is confounded by MMRd in EAOC. Ongoing research is needed to determine its clinical relevance in additional ethnic populations in a rapidly evolving landscape of treatment options and to take these findings into consideration when interpreting the results of trials where known biomarkers of response include MMRd.

Author contributions statement

All authors were involved in writing and approving the final version of the manuscript.
  10 in total

1.  ARID1A deficiency promotes mutability and potentiates therapeutic antitumor immunity unleashed by immune checkpoint blockade.

Authors:  Jianfeng Shen; Zhenlin Ju; Wei Zhao; Lulu Wang; Yang Peng; Zhongqi Ge; Zachary D Nagel; Jun Zou; Chen Wang; Prabodh Kapoor; Xiangyi Ma; Ding Ma; Jiyong Liang; Shumei Song; Jinsong Liu; Leona D Samson; Jaffer A Ajani; Guo-Min Li; Han Liang; Xuetong Shen; Gordon B Mills; Guang Peng
Journal:  Nat Med       Date:  2018-05-07       Impact factor: 53.440

2.  Spatially distinct tumor immune microenvironments stratify triple-negative breast cancers.

Authors:  Tina Gruosso; Mathieu Gigoux; Venkata Satya Kumar Manem; Nicholas Bertos; Dongmei Zuo; Irina Perlitch; Sadiq Mehdi Ismail Saleh; Hong Zhao; Margarita Souleimanova; Radia Marie Johnson; Anne Monette; Valentina Muñoz Ramos; Michael Trevor Hallett; John Stagg; Réjean Lapointe; Atilla Omeroglu; Sarkis Meterissian; Laurence Buisseret; Gert Van den Eynden; Roberto Salgado; Marie-Christine Guiot; Benjamin Haibe-Kains; Morag Park
Journal:  J Clin Invest       Date:  2019-03-18       Impact factor: 14.808

3.  Validated biomarker assays confirm that ARID1A loss is confounded with MMR deficiency, CD8+ TIL infiltration, and provides no independent prognostic value in endometriosis-associated ovarian carcinomas.

Authors:  Karolin Heinze; Tayyebeh M Nazeran; Sandra Lee; Pauline Krämer; Evan S Cairns; Derek S Chiu; Samuel Cy Leung; Eun Young Kang; Nicola S Meagher; Catherine J Kennedy; Jessica Boros; Friedrich Kommoss; Hans-Walter Vollert; Florian Heitz; Andreas du Bois; Philipp Harter; Marcel Grube; Bernhard Kraemer; Annette Staebler; Felix Kf Kommoss; Sabine Heublein; Hans-Peter Sinn; Naveena Singh; Angela Laslavic; Esther Elishaev; Alex Olawaiye; Kirsten Moysich; Francesmary Modugno; Raghwa Sharma; Alison H Brand; Paul R Harnett; Anna DeFazio; Renée T Fortner; Jan Lubinski; Marcin Lener; Aleksandra Tołoczko-Grabarek; Cezary Cybulski; Helena Gronwald; Jacek Gronwald; Penny Coulson; Mona A El-Bahrawy; Michael E Jones; Minouk J Schoemaker; Anthony J Swerdlow; Kylie L Gorringe; Ian Campbell; Linda Cook; Simon A Gayther; Michael E Carney; Yurii B Shvetsov; Brenda Y Hernandez; Lynne R Wilkens; Marc T Goodman; Constantina Mateoiu; Anna Linder; Karin Sundfeldt; Linda E Kelemen; Aleksandra Gentry-Maharaj; Martin Widschwendter; Usha Menon; Kelly L Bolton; Jennifer Alsop; Mitul Shah; Mercedes Jimenez-Linan; Paul Dp Pharoah; James D Brenton; Kara L Cushing-Haugen; Holly R Harris; Jennifer A Doherty; Blake Gilks; Prafull Ghatage; David G Huntsman; Gregg S Nelson; Anna V Tinker; Cheng-Han Lee; Ellen L Goode; Brad H Nelson; Susan J Ramus; Stefan Kommoss; Aline Talhouk; Martin Köbel; Michael S Anglesio
Journal:  J Pathol       Date:  2022-02-07       Impact factor: 9.883

4.  Spatial Density and Distribution of Tumor-Associated Macrophages Predict Survival in Non-Small Cell Lung Carcinoma.

Authors:  Xiang Zheng; Andreas Weigert; Simone Reu; Stefan Guenther; Siavash Mansouri; Birgit Bassaly; Stefan Gattenlöhner; Friedrich Grimminger; Soni Pullamsetti; Werner Seeger; Hauke Winter; Rajkumar Savai
Journal:  Cancer Res       Date:  2020-07-22       Impact factor: 12.701

5.  Optimised ARID1A immunohistochemistry is an accurate predictor of ARID1A mutational status in gynaecological cancers.

Authors:  Saira Khalique; Kalnisha Naidoo; Ayoma D Attygalle; Divya Kriplani; Frances Daley; Anne Lowe; James Campbell; Thomas Jones; Michael Hubank; Kerry Fenwick; Nicholas Matthews; Alistair G Rust; Christopher J Lord; Susana Banerjee; Rachael Natrajan
Journal:  J Pathol Clin Res       Date:  2018-07-20

6.  Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients.

Authors:  Ines P Nearchou; Bethany M Gwyther; Elena C T Georgiakakis; Christos G Gavriel; Kate Lillard; Yoshiki Kajiwara; Hideki Ueno; David J Harrison; Peter D Caie
Journal:  NPJ Digit Med       Date:  2020-05-15

7.  Analysis of gene expression signatures identifies prognostic and functionally distinct ovarian clear cell carcinoma subtypes.

Authors:  Tuan Zea Tan; Jieru Ye; Chung Vin Yee; Diana Lim; Natalie Yan Li Ngoi; David Shao Peng Tan; Ruby Yun-Ju Huang
Journal:  EBioMedicine       Date:  2019-11-21       Impact factor: 8.143

8.  Quantitative Assessment and Prognostic Associations of the Immune Landscape in Ovarian Clear Cell Carcinoma.

Authors:  Saira Khalique; Sarah Nash; David Mansfield; Julian Wampfler; Ayoma Attygale; Katherine Vroobel; Harriet Kemp; Richard Buus; Hannah Cottom; Ioannis Roxanis; Thomas Jones; Katharina von Loga; Dipa Begum; Naomi Guppy; Pradeep Ramagiri; Kerry Fenwick; Nik Matthews; Michael J F Hubank; Christopher J Lord; Syed Haider; Alan Melcher; Susana Banerjee; Rachael Natrajan
Journal:  Cancers (Basel)       Date:  2021-07-30       Impact factor: 6.639

9.  Macrophages impede CD8 T cells from reaching tumor cells and limit the efficacy of anti-PD-1 treatment.

Authors:  Elisa Peranzoni; Jean Lemoine; Lene Vimeux; Vincent Feuillet; Sarah Barrin; Chahrazade Kantari-Mimoun; Nadège Bercovici; Marion Guérin; Jérôme Biton; Hanane Ouakrim; Fabienne Régnier; Audrey Lupo; Marco Alifano; Diane Damotte; Emmanuel Donnadieu
Journal:  Proc Natl Acad Sci U S A       Date:  2018-04-09       Impact factor: 11.205

10.  Analysis of Spatial Organization of Suppressive Myeloid Cells and Effector T Cells in Colorectal Cancer-A Potential Tool for Discovering Prognostic Biomarkers in Clinical Research.

Authors:  Natalie Zwing; Henrik Failmezger; Chia-Huey Ooi; Derrek P Hibar; Marta Cañamero; Bruno Gomes; Fabien Gaire; Konstanty Korski
Journal:  Front Immunol       Date:  2020-10-29       Impact factor: 7.561

  10 in total
  1 in total

Review 1.  Treating ARID1A mutated cancers by harnessing synthetic lethality and DNA damage response.

Authors:  Jayaprakash Mandal; Prativa Mandal; Tian-Li Wang; Ie-Ming Shih
Journal:  J Biomed Sci       Date:  2022-09-19       Impact factor: 12.771

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.