1
|
Kim YN, Kim K, Joung JG, Kim SW, Kim S, Lee JY, Park E. RAD51 as an immunohistochemistry-based marker of poly(ADP-ribose) polymerase inhibitor resistance in ovarian cancer. Front Oncol 2024; 14:1351778. [PMID: 38725623 PMCID: PMC11079140 DOI: 10.3389/fonc.2024.1351778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 03/28/2024] [Indexed: 05/12/2024] Open
Abstract
Objective Effective functional biomarkers that can be readily used in clinical practice to predict poly(ADP-ribose) polymerase inhibitor (PARPi) sensitivity are lacking. With the widespread adoption of PARPi maintenance therapy in ovarian cancer, particularly in patients with BRCA mutation or HR deficiencies, accurately identifying de novo or acquired resistance to PARPi has become critical in clinical practice. We investigated RAD51 immunohistochemistry (IHC) as a functional biomarker for predicting PARPi sensitivity in ovarian cancer. Methods Ovarian cancer patients who had received PARPi and had archival tissue samples prior to PARPi exposure ("pre-PARPi") and/or after progression on PARPi ("post-PARPi") were selected. RAD51 IHC expression was semi-quantitatively evaluated using the H-score in geminin (a G2/S phase marker)- and γH2AX (a DNA damage marker)-positive tissues. A RAD51 H-score of 20 was used as the cutoff value. Results In total, 72 samples from 56 patients were analyzed. The median RAD51 H-score was 20 (range: 0-90) overall, 10 (0-190) in pre-PARPi samples (n = 34), and 25 (1-170) in post-PARPi samples (n = 19). Among patients with BRCA mutations, RAD51-low patients had better progression-free survival (PFS) after PARPi treatment than RAD51-high patients (P = 0.029). No difference was found in PFS with respect to the genomic scar score (P = 0.930). Analysis of matched pre- and post-PARPi samples collected from 15 patients indicated an increase in the RAD51 H-score upon progression on PARPi, particularly among pre-PARPi low-RAD51-expressing patients. Conclusion RAD51 is a potential functional IHC biomarker of de novo and acquired PARPi resistance in BRCA-mutated ovarian cancer and can be used to fine-tune ovarian cancer treatment.
Collapse
Affiliation(s)
- Yoo-Na Kim
- Department of Obstetrics and Gynecology, Institute of Women’s Life Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Kyeongmin Kim
- Graduate School of Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Pathology, Soonchunhyang University, Seoul, Republic of Korea
| | - Je-Gun Joung
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam, Republic of Korea
| | - Sang Wun Kim
- Department of Obstetrics and Gynecology, Institute of Women’s Life Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sunghoon Kim
- Department of Obstetrics and Gynecology, Institute of Women’s Life Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jung-Yun Lee
- Department of Obstetrics and Gynecology, Institute of Women’s Life Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Eunhyang Park
- Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea
| |
Collapse
|
2
|
Torres-Esquius S, Llop-Guevara A, Gutiérrez-Enríquez S, Romey M, Teulé À, Llort G, Herrero A, Sánchez-Henarejos P, Vallmajó A, González-Santiago S, Chirivella I, Cano JM, Graña B, Simonetti S, Díaz de Corcuera I, Ramon y Cajal T, Sanz J, Serrano S, Otero A, Churruca C, Sánchez-Heras AB, Servitja S, Guillén-Ponce C, Brunet J, Denkert C, Serra V, Balmaña J. Prevalence of Homologous Recombination Deficiency Among Patients With Germline RAD51C/D Breast or Ovarian Cancer. JAMA Netw Open 2024; 7:e247811. [PMID: 38648056 PMCID: PMC11036141 DOI: 10.1001/jamanetworkopen.2024.7811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 02/21/2024] [Indexed: 04/25/2024] Open
Abstract
Importance RAD51C and RAD51D are involved in DNA repair by homologous recombination. Germline pathogenic variants (PVs) in these genes are associated with an increased risk of ovarian and breast cancer. Understanding the homologous recombination deficiency (HRD) status of tumors from patients with germline PVs in RAD51C/D could guide therapeutic decision-making and improve survival. Objective To characterize the clinical and tumor characteristics of germline RAD51C/D PV carriers, including the evaluation of HRD status. Design, Setting, and Participants This retrospective cohort study included 91 index patients plus 90 relatives carrying germline RAD51C/D PV (n = 181) in Spanish hospitals from January 1, 2014, to December 31, 2021. Genomic and functional HRD biomarkers were assessed in untreated breast and ovarian tumor samples (n = 45) from June 2022 to February 2023. Main Outcomes and Measures Clinical and pathologic characteristics were assessed using descriptive statistics. Genomic HRD by genomic instability scores, functional HRD by RAD51, and gene-specific loss of heterozygosity were analyzed. Associations between HRD status and tumor subtype, age at diagnosis, and gene-specific loss of heterozygosity in RAD51C/D were investigated using logistic regression or the t test. Results A total of 9507 index patients were reviewed, and 91 patients (1.0%) were found to carry a PV in RAD51C/D; 90 family members with a germline PV in RAD51C/D were also included. A total of 157 of carriers (86.7%) were women and 181 (55.8%) had received a diagnosis of cancer, mainly breast cancer or ovarian cancer. The most prevalent PVs were c.1026+5_1026+7del (11 of 56 [19.6%]) and c.709C>T (9 of 56 [16.1%]) in RAD51C and c.694C>T (20 of 35 [57.1%]) in RAD51D. In untreated breast cancer and ovarian cancer, the prevalence of functional and genomic HRD was 55.2% (16 of 29) and 61.1% (11 of 18) for RAD51C, respectively, and 66.7% (6 of 9) and 90.0% (9 of 10) for RAD51D. The concordance between HRD biomarkers was 91%. Tumors with the same PV displayed contrasting HRD status, and age at diagnosis did not correlate with the occurrence of HRD. All breast cancers retaining the wild-type allele were estrogen receptor positive and lacked HRD. Conclusions and Relevance In this cohort study of germline RAD51C/D breast cancer and ovarian cancer, less than 70% of tumors displayed functional HRD, and half of those that did not display HRD were explained by retention of the wild-type allele, which was more frequent among estrogen receptor-positive breast cancers. Understanding which tumors are associated with RAD51C/D and HRD is key to identify patients who can benefit from targeted therapies, such as PARP (poly [adenosine diphosphate-ribose] polymerase) inhibitors.
Collapse
Affiliation(s)
- Sara Torres-Esquius
- Hereditary Cancer Genetics Group, Vall d’Hebron Institute of Oncology, Barcelona, Spain
| | - Alba Llop-Guevara
- Experimental Therapeutics Group, Vall d’Hebron Institute of Oncology, Barcelona, Spain
- Translational Medicine, DNA Damage Response Department, AstraZeneca, Barcelona, Spain
| | | | - Marcel Romey
- Institute of Pathology, Universitätsklinikum Marburg, Marburg, Germany
| | - Àlex Teulé
- Hereditary Cancer Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Gemma Llort
- Department of Medical Oncology, Hospital Universitari Parc Taulí, Sabadell, Spain
| | - Ana Herrero
- Department of Medical Oncology, Hospital Miguel Servet de Zaragoza, Zaragoza, Spain
| | | | - Anna Vallmajó
- Genetic Counseling Unit, Arnau de Vilanova University Hospital, Lleida, Spain
| | | | - Isabel Chirivella
- Cancer Genetic Counseling, Hospital Clínico Universitario de Valencia, Valencia, Spain
| | - Juana Maria Cano
- Department of Medical Oncology, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain
| | - Begoña Graña
- Department of Medical Oncology, Xerencia de Xestión Integrada de A Coruña, Coruña, Spain
| | - Sara Simonetti
- Molecular Oncology Group, Vall d’Hebron Institute of Oncology, Barcelona, Spain
| | | | - Teresa Ramon y Cajal
- Department of Medical Oncology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Judit Sanz
- Unidad de Cáncer Familiar y Hereditario, Althaia Xarxa Assistencial Universitària de Manresa, Manresa, Spain
| | - Sara Serrano
- Department of Medical Oncology, Institute of Oncology of Southern Catalonia (IOCS), Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - Andrea Otero
- Institute of Oncology and Molecular Medicine of Asturias (IMOMA) S. A., Oviedo, Spain
| | - Cristina Churruca
- Department of Medical Oncology, Hospital Universitario Donostia, San Sebastián, Gipuzkoa, Spain
| | - Ana Beatriz Sánchez-Heras
- Cancer Genetic Counselling Unit, Medical Oncology Department, Hospital General Universitario de Elche, Elche, Spain
| | - Sonia Servitja
- Department of Medical Oncology, Hospital del Mar-CIBERONC, Barcelona, Spain
| | - Carmen Guillén-Ponce
- Department of Medical Oncology, Hospital Universitario Ramón y Cajal (IRYCIS), Madrid, Spain
| | - Joan Brunet
- Hereditary Cancer Program, Catalan Institute of Oncology, Girona, Spain
- Precision Oncology Group (OncoGIR-Pro), Institut d’Investigació Biomèdica de Girona (IDIBGI), Girona, Spain
| | - Carsten Denkert
- Institute of Pathology, Universitätsklinikum Marburg, Marburg, Germany
| | - Violeta Serra
- Experimental Therapeutics Group, Vall d’Hebron Institute of Oncology, Barcelona, Spain
| | - Judith Balmaña
- Hereditary Cancer Genetics Group, Vall d’Hebron Institute of Oncology, Barcelona, Spain
- Medical Oncology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain
| |
Collapse
|
3
|
Launonen IM, Erkan EP, Niemiec I, Junquera A, Hincapié-Otero M, Afenteva D, Liang Z, Salko M, Szabo A, Perez-Villatoro F, Falco MM, Li Y, Micoli G, Nagaraj A, Haltia UM, Kahelin E, Oikkonen J, Hynninen J, Virtanen A, Nirmal AJ, Vallius T, Hautaniemi S, Sorger P, Vähärautio A, Färkkilä A. Chemotherapy induces myeloid-driven spatial T-cell exhaustion in ovarian cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.19.585657. [PMID: 38562799 PMCID: PMC10983974 DOI: 10.1101/2024.03.19.585657] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
To uncover the intricate, chemotherapy-induced spatiotemporal remodeling of the tumor microenvironment, we conducted integrative spatial and molecular characterization of 97 high-grade serous ovarian cancer (HGSC) samples collected before and after chemotherapy. Using single-cell and spatial analyses, we identify increasingly versatile immune cell states, which form spatiotemporally dynamic microcommunities at the tumor-stroma interface. We demonstrate that chemotherapy triggers spatial redistribution and exhaustion of CD8+ T cells due to prolonged antigen presentation by macrophages, both within interconnected myeloid networks termed "Myelonets" and at the tumor stroma interface. Single-cell and spatial transcriptomics identifies prominent TIGIT-NECTIN2 ligand-receptor interactions induced by chemotherapy. Using a functional patient-derived immuno-oncology platform, we show that CD8+T-cell activity can be boosted by combining immune checkpoint blockade with chemotherapy. Our discovery of chemotherapy-induced myeloid-driven spatial T-cell exhaustion paves the way for novel immunotherapeutic strategies to unleash CD8+ T-cell-mediated anti-tumor immunity in HGSC.
Collapse
Affiliation(s)
- Inga-Maria Launonen
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
| | | | - Iga Niemiec
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
| | - Ada Junquera
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
| | | | - Daria Afenteva
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
| | - Zhihan Liang
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
| | - Matilda Salko
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
| | - Angela Szabo
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
| | | | - Matias M Falco
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
| | - Yilin Li
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
| | - Giulia Micoli
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
| | - Ashwini Nagaraj
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
| | - Ulla-Maija Haltia
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
- Department of Obstetrics and Gynecology, Department of Oncology, Clinical trials unit, Comprehensive Cancer Center, Helsinki University Hospital, Helsinki, Finland
| | - Essi Kahelin
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
- Department of Pathology, University of Helsinki and HUS Diagnostic Center, Helsinki University Hospital
| | - Jaana Oikkonen
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
| | - Johanna Hynninen
- Department of Obstetrics and Gynecology, University of Turku and Turku University Hospital, Turku, Finland
| | - Anni Virtanen
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
- Department of Pathology, University of Helsinki and HUS Diagnostic Center, Helsinki University Hospital
| | - Ajit J Nirmal
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, USA
| | - Tuulia Vallius
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, USA
- Ludwig Center at Harvard
| | - Sampsa Hautaniemi
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
| | - Peter Sorger
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, USA
| | - Anna Vähärautio
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
- Foundation for the Finnish Cancer Institute, Finland
| | - Anniina Färkkilä
- Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
- Department of Obstetrics and Gynecology, Department of Oncology, Clinical trials unit, Comprehensive Cancer Center, Helsinki University Hospital, Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland
- Institute for Molecular Medicine Finland, Helsinki Institute for Life Sciences, University of Helsinki, Finland
| |
Collapse
|
4
|
Korsholm LM, Kjeldsen M, Perino L, Mariani L, Nyvang GB, Kristensen E, Bagger FO, Mirza MR, Rossing M. Combining Homologous Recombination-Deficient Testing and Functional RAD51 Analysis Enhances the Prediction of Poly(ADP-Ribose) Polymerase Inhibitor Sensitivity. JCO Precis Oncol 2024; 8:e2300483. [PMID: 38427930 PMCID: PMC10919475 DOI: 10.1200/po.23.00483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 12/03/2023] [Accepted: 12/21/2023] [Indexed: 03/03/2024] Open
Abstract
PURPOSE To meet the urgent need for accessible homologous recombination-deficient (HRD) test options, we validated a laboratory-developed test (LDT) and a functional RAD51 assay to assess patients with ovarian cancer and predict the clinical benefit of poly(ADP-ribose) polymerase inhibitor therapy. METHODS Optimization of the LDT cutoff and validation on the basis of samples from 91 patients enrolled in the ENGOT-ov24/NSGO-AVANOVA1&2 trial (ClinicalTrials.gov identifier: NCT02354131), previously subjected to commercial CDx HRD testing (CDx). RAD51 foci analysis was performed and tumors with ≥five foci/nucleus were classified as RAD51-positive (homologous recombination-proficient). RESULTS The optimal LDT cutoff is 54. Comparing CDx genome instability score and LDT HRD scores show a Spearman's correlation of rho = 0.764 (P < .0001). Cross-tabulation analysis shows that the sensitivity of the LDT HRD score is 86% and of the LDT HRD status is 91.8% (Fisher's exact test P < .001). Survival analysis on progression-free survival (PFS) of LDT-assessed patients show a Cox regression P < .05. RAD51 assays show a correlation between low RAD51 foci detection (<20% RAD51+ cells) and significantly prolonged PFS (P < .001). CONCLUSION The robust concordance between the open standard LDT and the CDx, especially the correlation with PFS, warrants future validation and implementation of the open standard LDT for HRD testing in diagnostic settings.
Collapse
Affiliation(s)
- Lea M. Korsholm
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Maj Kjeldsen
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Lorenzo Perino
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Luca Mariani
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Elisabeth Kristensen
- Department of Pathology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Frederik O. Bagger
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Mansoor Raza Mirza
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Maria Rossing
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
5
|
Ratnaparkhi R, Javellana M, Jewell A, Spoozak L. Evaluation of Homologous Recombination Deficiency in Ovarian Cancer. Curr Treat Options Oncol 2024; 25:237-260. [PMID: 38300479 DOI: 10.1007/s11864-024-01176-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/03/2024] [Indexed: 02/02/2024]
Abstract
OPINION STATEMENT Homologous recombination deficiency (HRD) is an important biomarker guiding selection of ovarian cancer patients who will derive the most benefit from poly(ADP-ribose) polymerase inhibitors (PARPi). HRD prevents cells from repairing double-stranded DNA damage with high fidelity, PARPis limit single-stranded repair, and together these deficits induce synthetic lethality. Germline or somatic BRCA mutations represent the narrowest definition of HRD, but do not reflect all patients who will have a durable PARPi response. HRD can also be defined by its downstream consequences, which are measured by different metrics depending on the test used. Ideally, all patients will undergo genetic counseling and germline testing shortly after diagnosis and have somatic testing sent once an adequate tumor sample is available. Should barriers to one test be higher, pursuing germline testing with reflex to somatic testing for BRCA wildtype patients or somatic testing first strategies are both evidence-based. Ultimately both tests offer complementary information, germline testing should be pursued for any patient with a history of ovarian cancer, and somatic testing is valuable at recurrence if not performed in the upfront setting. There is a paucity of data to suggest superiority of one germline or somatic assay; therefore, selection should optimize turnaround time, cost to patients, preferred result format, and logistical burden. Each clinic should implement a standard testing strategy for all ovarian cancer patients that ensures HRD status is known at the time of upfront chemotherapy completion to facilitate comprehensive counseling about anticipated maintenance PARPi benefit.
Collapse
Affiliation(s)
- Rubina Ratnaparkhi
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Kansas Medical Center, Kansas City, KS, USA.
| | - Melissa Javellana
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Kansas Medical Center, Kansas City, KS, USA
| | - Andrea Jewell
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Kansas Medical Center, Kansas City, KS, USA
| | - Lori Spoozak
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Kansas Medical Center, Kansas City, KS, USA
| |
Collapse
|
6
|
Koskela H, Li Y, Joutsiniemi T, Muranen T, Isoviita VM, Huhtinen K, Micoli G, Lavikka K, Marchi G, Hietanen S, Virtanen A, Hautaniemi S, Oikkonen J, Hynninen J. HRD related signature 3 predicts clinical outcome in advanced tubo-ovarian high-grade serous carcinoma. Gynecol Oncol 2024; 180:91-98. [PMID: 38061276 DOI: 10.1016/j.ygyno.2023.11.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 11/14/2023] [Accepted: 11/25/2023] [Indexed: 02/18/2024]
Abstract
OBJECTIVES We evaluated usability of single base substitution signature 3 (Sig3) as a biomarker for homologous recombination deficiency (HRD) in tubo-ovarian high-grade serous carcinoma (HGSC). MATERIALS AND METHODS This prospective observational trial includes 165 patients with advanced HGSC. Fresh tissue samples (n = 456) from multiple intra-abdominal areas at diagnosis and after neoadjuvant chemotherapy (NACT) were collected for whole-genome sequencing. Sig3 was assessed by fitting samples independently with COSMIC v3.2 reference signatures. An HR scar assay was applied for comparison. Progression-free survival (PFS) and overall survival (OS) were studied using Kaplan-Meier and Cox regression analysis. RESULTS Sig3 has a bimodal distribution, eliminating the need for an arbitrary cutoff typical in HR scar tests. Sig3 could be assessed from samples with low (10%) cancer cell proportion and was consistent between multiple samples and stable during NACT. At diagnosis, 74 (45%) patients were HRD (Sig3+), while 91 (55%) were HR proficient (HRP, Sig3-). Sig3+ patients had longer PFS and OS than Sig3- patients (22 vs. 13 months and 51 vs. 34 months respectively, both p < 0.001). Sig3 successfully distinguished the poor prognostic HRP group among BRCAwt patients (PFS 19 months for Sig3+ and 13 months for Sig3- patients, p < 0.001). However, Sig3 at diagnosis did not predict chemoresponse anymore in the first relapse. The patient-level concordance between Sig3 and HR scar assay was 87%, and patients with HRD according to both tests had the longest median PFS. CONCLUSIONS Sig3 is a prognostic marker in advanced HGSC and useful tool in patient stratification for HRD.
Collapse
Affiliation(s)
- Heidi Koskela
- Department of Obstetrics and Gynecology, University of Turku and Turku University Hospital, Turku, Finland
| | - Yilin Li
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Titta Joutsiniemi
- Department of Obstetrics and Gynecology, University of Turku and Turku University Hospital, Turku, Finland
| | - Taru Muranen
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Veli-Matti Isoviita
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Kaisa Huhtinen
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Institute of Biomedicine and FICAN West Cancer Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Giulia Micoli
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Kari Lavikka
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Giovanni Marchi
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Sakari Hietanen
- Department of Obstetrics and Gynecology, University of Turku and Turku University Hospital, Turku, Finland
| | - Anni Virtanen
- Department of Pathology, University of Helsinki and HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Sampsa Hautaniemi
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jaana Oikkonen
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Johanna Hynninen
- Department of Obstetrics and Gynecology, University of Turku and Turku University Hospital, Turku, Finland.
| |
Collapse
|
7
|
Garg V, Oza AM. Treatment of Ovarian Cancer Beyond PARP Inhibition: Current and Future Options. Drugs 2023; 83:1365-1385. [PMID: 37737434 PMCID: PMC10581945 DOI: 10.1007/s40265-023-01934-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2023] [Indexed: 09/23/2023]
Abstract
Ovarian cancer is the leading cause of gynecological cancer death. Improved understanding of the biologic pathways and introduction of poly (ADP-ribose) polymerase inhibitors (PARPi) during the last decade have changed the treatment landscape. This has improved outcomes, but unfortunately half the women with ovarian cancer still succumb to the disease within 5 years of diagnosis. Pathways of resistance to PARPi and chemotherapy have been studied extensively, but there is an unmet need to overcome treatment failure and improve outcome. Major mechanisms of PARPi resistance include restoration of homologous recombination repair activity, alteration of PARP function, stabilization of the replication fork, drug efflux, and activation of alternate pathways. These resistant mechanisms can be targeted to sensitize the resistant ovarian cancer cells either by rechallenging with PARPi, overcoming resistance mechanism or bypassing resistance pathways. Augmenting the PARPi activity by combining it with other targets in the DNA damage response pathway, antiangiogenic agents and immune checkpoint inhibitors can potentially overcome the resistance mechanisms. Methods to bypass resistance include targeting non-cross-resistant pathways acting independent of homologous recombination repair (HRR), modulating tumour microenvironment, and enhancing drug delivery systems such as antibody drug conjugates. In this review, we will discuss the first-line management of ovarian cancer, resistance mechanisms and potential strategies to overcome these.
Collapse
Affiliation(s)
- Vikas Garg
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Amit M Oza
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
- Department of Medicine, University of Toronto, Toronto, ON, Canada.
- , 610 University Avenue, Toronto, ON, M5G 2M9, Canada.
| |
Collapse
|