| Literature DB >> 35441131 |
Talia Golan1, Jonathan R Brody2,3.
Abstract
Recent advances in next generation sequencing (NGS) and molecular subtyping of tumors have opened the door to clinically available targeted therapies. Although the treatment of many solid tumors still rely on a steady regimen of non-targeted chemotherapeutic agents, it is becoming increasingly more apparent that certain tumors with defects in DNA damage repair (DDR) genes may be exquisitely sensitive to DNA damaging agents or therapies targeting key elements of this pathway such PARP1, ATR, or ATM. Still, for tumors with DDR defects the challenges are multi-fold including: (I) identifying these tumors in patients in time for a window of opportunity of treatment; (II) ensuring that these tumors are still reliant or addicted to this pathway; and (III) making sure these tumors are matched with the precise treatment option. Herein, we will discuss the opportunities, challenges, and future of targeting a subset of DDR-defective tumors.Entities:
Keywords: DNA damaging repair genes; Precision medicine; pancreatic adenocarcinoma
Year: 2020 PMID: 35441131 PMCID: PMC9015682 DOI: 10.21037/apc.2020.03.02
Source DB: PubMed Journal: Ann Pancreat Cancer ISSN: 2616-2741
Examples of homologous recombination deficiency (HRD) scores discovered and presented in the literature
| Signature/algorithm name | Description & features | Reference |
|---|---|---|
| Myriad’s MyChoice HRD | Tested in ovarian tumors and 57 cell lines (breast and pancreatic) | ( |
| Association between homologous recombination defects and genomic patterns of loss of heterozygosity (LOH) | ||
| The HRD score appears capable of detecting homologous recombination defects regardless of etiology or mechanism | ||
| Single Base Substitution Signatures (SBS3) | Analysis of 7,042 cancers lead to more than 20 distinct mutational signatures | ( |
| SBS3 signature observed in breast, ovarian and pancreatic tumors showed association with BRA1/2 mutations | ||
| SBS3 is characterized by large deletions (up to 50 bp) with overlapping microhomology at breakpoint junctions | ||
| HRD gene signature | Based on transcriptional profiling approach to systematically identify common molecular changes associated with defective HR repair | ( |
| Tested on isogenic cell lines established from MCF-10A cells, an immortal human mammary epithelial cell line of nonmalignant origin, with induced deficiency individually in HR repair genes: BRCA1, RAD51 and BRIT1 and other | ||
| HRD gene signature allows interrogation of the status of HR repair by simultaneously considering hundreds of genes and thereby allows identification of HR deficiency in a given cellular state independent of underlying mechanism | ||
| Waddell structural variations load subtyping | Based on whole genome sequencing (WGS) and copy number variation (CNV) analysis of 100 pancreatic ductal adenocarcinomas (PDAC) tumors | ( |
| Patterns of chromosomal structural variations/rearrangements classified PDACs into 4 subtypes with potential clinical utility: stable, locally rearranged, scattered and unstable | ||
| Genomic instability co-segregated with inactivation of DNA maintenance genes (BRCA1, BRCA2 or PALB2) and a mutational signature of DNA damage repair deficiency | ||
| Double strand break repair signature (DSBR) | Based on whole genome & RNA sequencing on 160 PDAC cases from 154 patients in the discovery cohort and WGS of 95 samples in the replication cohort | ( |
| Analyses of mutational signatures based on Alexandrov approach identified 4 PDAC principal subtypes: (I) an age-related group dominated by signatures 1 and 5, (II) a double-strand break repair (DSBR) group characterized by signature 3, attributed to deficiencies in homologous recombination repair (HRR) of double-strand breaks; (III) a mismatch repair (MMR) group characterized by signatures 6, 20, and 26, attributed to defects in DNA MMR; and (4) a group characterized by signature 8, of unknown etiology | ||
| DSBR &MMR subtypes were associated with increased expression of antitumor immunity, including activation of CD8-positive T lymphocytes and overexpression of regulatory molecules (CTL4), corresponding to higher frequency of somatic mutations and tumor-specific neoantigens | ||
| HRDetect score | Based on lasso logistic regression model to identify six distinguishing mutational signatures predictive of BRCA1/BRCA2 deficiency | ( |
| Tested in 560 individuals with breast cancer and validated on independent cohorts of breast, ovarian and pancreatic cancers | ||
| Shows high sensitivity (98.7%) in identification of BRCA1/2 deficient tumors |
Opportunities and challenges of targeting DDR in cancer
| Key scientific findings | Clinical implications | Challenges |
|---|---|---|
| Link of BRCA1/2 mutations to cancer | Prognostic and predictive biomarker value | Determining the optimized therapeutic regimen; a deep understanding of the genetics (LOH, haploinsufficiency, etc.) |
| HRD score | Predictive biomarker value | Determining the correct therapy; pure tumor tissue access/evaluation; validating aspects of the score; making facile and economical |
| POLO study | Maintenance therapy for PDAC patients | Identifying patients upfront for maximum benefits |
| Link of DNA repair genes to cancer | Capturing a greater cohort of patients for target therapies | Validating that these genes have the same predictive value as BRCA1/2; determine the significance of VUS or mutations with low frequency within a tumor system |
| Resistance occurs with DNA damaging therapies | Patients recur | Need to better understand genetic and non-genetic mechanisms to overcome resistance |
DDR, DNA damage repair; LOH, loss of heterozygosity; HRD, homologous recombination deficiency; PDAC, pancreatic ductal adenocarcinomas; VUS, variants of unknown significance.
Figure 1A vision for a precision therapy strategy for the treatment of HR deficient tumors. HRD, homologous recombination deficiency.