| Literature DB >> 35740616 |
Vilma Pacheco-Barcia1, Andrés Muñoz2, Elena Castro3, Ana Isabel Ballesteros4, Gloria Marquina5, Iván González-Díaz6, Ramon Colomer4, Nuria Romero-Laorden4.
Abstract
BRCA1 and BRCA2 are the most recognized tumor-suppressor genes involved in double-strand DNA break repair through the homologous recombination (HR) system. Widely known for its role in hereditary cancer, HR deficiency (HRD) has turned out to be critical beyond breast and ovarian cancer: for prostate and pancreatic cancer also. The relevance for the identification of these patients exceeds diagnostic purposes, since results published from clinical trials with poly-ADP ribose polymerase (PARP) inhibitors (PARPi) have shown how this type of targeted therapy can modify the long-term evolution of patients with HRD. Somatic aberrations in other HRD pathway genes, but also indirect genomic instability as a sign of this DNA repair impairment (known as HRD scar), have been reported to be relevant events that lead to more frequently than expected HR loss of function in several tumor types, and should therefore be included in the current diagnostic and therapeutic algorithm. However, the optimal strategy to identify HRD and potential PARPi responders in cancer remains undefined. In this review, we summarize the role and prevalence of HRD across tumor types and the current treatment landscape to guide the agnostic targeting of damaged DNA repair. We also discuss the challenge of testing patients and provide a special insight for new strategies to select patients who benefit from PARPi due to HRD scarring.Entities:
Keywords: BRCA; HRD; PARP inhibitors; agnostic cancer; homologous recombination deficiency
Year: 2022 PMID: 35740616 PMCID: PMC9221128 DOI: 10.3390/cancers14122950
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.575
Figure 1Functional features of proteins involved in HRD. Adapted with permission from Gorodetska et al. [7], copyright 2019 the authors, Ivyspring International Publisher under the terms of the Creative Commons Attribution license 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/, accessed on 12 May 2022) and Hoppe et al. [6], copyright 2018 by the authors published by Oxford University Press. The figures have been modified for the purposes of this review. Proteins involved in the HR system have functions in DNA repair, but also participate in cell cycle regulation, transcriptional activation and chromatin remodeling. Genomic scarring is defined by the presence of chromosomal abnormalities related to HRD: (a) telomeric allelic imbalance (TAI) due to inappropriate chromosomal end fusions because of aberrant end joining, (b) loss of heterozygosity (LOH) related to inaccurate repair of sister chromatids during the S/G2 cell cycle phase and (c) large-scale transitions (LSTs) that are chromosomal breaks of more than 10 Mb.
Figure 2Prevalence of somatic BRCA1/2 mutations across different tumor types. Adapted from Sokol et al. [20], copyright 2020 the authors, American Society of Clinical Oncology under the Creative Commons Attribution Non-commercial No Derivatives 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/, accessed on 12 May 2022). The figure has been modified for the purposes of this review.
Figure 3HRD prevalence across different tumor types. Adapted from Marquard et al. [21], copyright 2015 Marquard et al, under the Creative Commons Attribution Non-commercial No Derivatives 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/, accessed on 12 May 2022). The figure has been made for the purposes of this review. HRD analysis of TCGA samples across 15 different cancer types was performed based on the number of Telomeric Allelic Imbalances (TAI) based on a genomic scar accumulation, the large scale transition (LST) based on a type of genomic scar associated with loss of BRCA1 or BRCA2 and the HRD-LOH based on a scar enriched in high-grade serous ovarian cancer patients with a loss of BRCA1 or BRCA2 [21,22,23]. However, the method originally used for ovarian cancer samples was adapted to avoid bias when the algorithm is applied across different tumors: (1) In the original publication describing TAI [24], all allelic imbalance events that extended to the telomere were counted, if they did not span the centromere. This results in an overrepresentation of tumors with an uneven copy number among high TAI cases, which has been corrected in the method used for the present study. (2) The original publication describing HRD-LOH [23] excluded chromosome 17 because LOH on chromosome 17 in the ovarian cancer samples is ubiquitous and for this reason did not provide independent information. However, for this figure, chromosome 17 was not excluded, as chromosome 17 is not ubiquitously lost in all cancer types, and therefore may provide independent information in some tumor samples.
Clinical trials evaluating platinum therapy for HRD tumor types.
| Type of Tumour | Author | Type of Study | N | Primary Endpoint | Platinum | Benefit | Target | Sub-Population |
|---|---|---|---|---|---|---|---|---|
| Breast Cancer | ||||||||
| Localized | Tung 2020 [ | Randomized Phase II | 118 | pCR | Cisplatin | Platinum vs. Control: 18% vs. 26%. Risk ratio 0.70 (90% CI, 0.39–1.2). | HER2- | 69% |
| Hahnen | Randomized Phase II | 50 | pCR | Carboplatin | Platinum vs. Control: 65.4% vs. 66.7%. Odds ratio 0.94 (0.29–3.095), ( | TNBC | 17% | |
| Advanced | Isakoff 2015 [ | Phase II | 86 | ORR | Cisplatin | TNBC metastatic or locally recurrent unresectable | 13% | |
| Pancreatic Cancer | ||||||||
| Localized | Golan 2020 [ | Retrospective analysis | 61 | pCR | Oxaliplatin | Mutated vs. non-mutated: 44.4% vs. 10%, ( | Borderline resectable | 23% |
| Metastatic | Okano 2020 [ | Phase II | 43 | OS | Oxaliplatin | 1-year survival 27.9% (90% CI 17–41.3). | Metastatic PDAC | Family history (ovarian, prostate, pancreatic, breast) |
| Wattenberg 2020 [ | Retrospective analysis | 26 | PFS | Oxaliplatin | Mutated vs. non-mutated: 10.1 vs. 6.9 months, ( | Locally advanced or metastatic | 33% Mutated: 19.2% gBRCA1 65.4% gBRCA2 15.4% gPALB2 67% Non-mutated | |
| Prostate Cancer | ||||||||
| Castration-resistant prostate cancer | Schmid 2020 [ | Retrospective analysis | 508 | Platinum Antitumor activity (decrease PSA 50% and/or radiological response) | Carboplatin | Mutated (cohort 1) vs. non-mutated (cohort 2) decrease PSA: 47.1% vs. 36.1%, ( | Advanced |
15.7% Mutated (cohort 1): 55% 15% 3.8% 19.3% Non-mutated (cohort 2) 65% Unknown (cohort 3) |
| Mota 2020 [ | Retrospective analysis | 109 | Platinum efficacy in DDR-mutant | Carboplatin | 67% | Metastatic |
PARPi naïve and prior taxane: 9% 3% 6% 6% 1% 75% DDRwt | |
pCR: Pathologic complete response; ORR: objective response rate; OS: overall survival; PFS: progression free survival; CI: confidence interval. g: germline mutation. PSA: prostate-specific antigen. DDR: DNA damage repair, including somatic and germline mutations in BRCA1/2, ATM, CDK12, FANCA and PALB2 genes. DDR wt: DDR wild type.
Phase III trials with PARP inhibitors.
| Type of Tumor | Author | Principal | Treatment | Benefit | OS | Target | Sub-Population |
|---|---|---|---|---|---|---|---|
| Breast Cancer | |||||||
| Localized disease | Tutt et al., 2021 [ | DFS | Local treatment and neoadjuvant or adjuvant chemotherapy. Olaparib vs. placebo. | Yes | NS |
| 71.3% |
| Pre-treated M1 or unresectable | Diéras 2020 [ | PFS | Carbo, pacli ± veliparib | Yes | NS |
| - |
| Litton 2018 [ | PFS | Chemo 1 vs. Talazoparib | Yes | NS |
| - | |
| Robson 2017 [ | PFS | Chemo 1 vs. olaparib | Yes | NS |
| - | |
| O’Shaughnessy 2014 [ | PFS and OS | Carbo, gem ± iniparib | Yes | Yes | Triple negative | ||
| Ovarian Cancer | |||||||
| 1st line maintenance | Coleman 2019 [ | PFS | Carbo, pacli ± veliparib | Yes | NR | Platinum sensitive | 30% |
| Gonzalez-Martin 2019 [ | PFS | Niraparib vs. placebo | Yes | NS 2 | Platinum sensitive | 30% | |
| Ray-Coquard 2019 [ | PFS | Olaparib + Bevacizumab | Yes | NR | Platinum sensitive | 30% | |
| Moore 2018 [ | PFS | Olaparib vs. placebo | Yes | NS 2 |
| ||
| Platinum sensitive recurrence | Coleman 2017 [ | PFS | Rucaparib vs. placebo | Yes | NS 2 | Platinum sensitive | 35% |
| Pujade-Lauraine 2017 [ | PFS | Olaparib vs. placebo | Yes | NS |
| ||
| Mirza 2016 [ | PFS | Niraparib vs. placebo | Yes | NS | Platinum sensitive | ||
| Pancreatic Cancer | |||||||
| 1st line maintenance | Golan 2019 [ | PFS | Olaparib vs. placebo | Yes | NS 2 | ||
| Prostate Cancer | |||||||
| Pre-treated M1 CRPC | De Bono 2020 [ | PFS in cohort A | Olaparib vs. AA/enza | Yes | NS | Somatic HRD by NGS 15 genes multi-panel | Cohort A: |
1 Physician’s choice chemotherapy. 2 Immature data published. 3 Only two patients had somatic BRCA1/2 mutation.
Genetic testing recommendations for breast and/or ovarian cancer, exocrine pancreatic cancer and prostate cancer. National Comprehensive Cancer Network (NCCN) guidelines V2.2022, American Society of Clinical Oncology (ASCO) somatic genomic testing and European Society of Medical Oncology (ESMO) recommendations for the use of next-generation sequencing (NGS) in metastatic cancer.
| Breast and/or Ovarian Cancer | Exocrine Pancreatic Cancer | Prostate Cancer | |
|---|---|---|---|
| Hereditary testing criteria | All patients diagnosed with epithelial ovarian cancer (including fallopian or peritoneal cancer). ≤45 years. 46–50 years with any:
Unknown family history Multiple primary breast cancers (synchronous or metachronous) ≥1 close relative with breast, ovarian, pancreatic or prostate cancer at any age ≥51 years:
≥1 close blood relative with any: breast cancer ≤50 years, or male breast cancer/ovarian/ pancreatic cancer any age, or metastatic, intraductal/cribiform histology, or high-or very high-risk group prostate cancer any age. ≥3 diagnoses of breast cancer in patient and/or close blood relatives ≥2 close blood relatives with breast or prostate cancer at any age. Any age: TNBC. ≥1 close relative with male breast cancer at any age Aid in systemic treatment decisions or adjuvant treatment decisions. Ashkenazi Jewish ancestry | All individuals diagnosed. | Metastatic prostate cancer ≥1 close blood relative with breast cancer 50 years, or ovarian/pancreatic cancer any age, or metastatic, intraductal/cribriform histology, or high- or very-high risk prostate cancer. ≥2 close blood relatives with breast or prostate cancer. Ashkenazi Jewish ancestry |
| Genetic testing process | |||
| -Familial pathogenic/likely pathogenic variant known | Testing for specific familial pathogenic/likely pathogenic variant | Testing for specific familial variant. If Ashkenazi Jewish descendent: test for all three-founder pathogenic/likely pathogenic variants. | Consider NGS panel testing. |
| -No known familial pathogenic/likely pathogenic variant | Comprehensive testing with multigene panel | Comprehensive testing with multigene panel. | In the abscense of family history or clinical features may be of low yield. |
| Germline recommendations | |||
| Somatic testing ASCO recommendations | |||
| Breast cancer: | |||
| ESMO Scale for clinical actionability of molecular targets | Metastatic breast cancer: | Advanced pancreatic cancer: | Advanced prostate cancer: |
| NGS recommendations | Tumour multigene NGS can be used in ovarian cancer to determine somatic | No current indication for tumour multigene NGS | Multigene tumour NGS to assess level I alterations. |