ArticleNPJ precision oncology2022
Optimized detection of homologous recombination deficiency improves the prediction of clinical outcomes in cancer.
Article in NPJ precision oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed, 45 citations in OpenAlex.
- Genomic and Epigenomic ctDNA Profiling in Liquid Biopsies from Heavily Pretreated Patients with DNA Damage Response-Deficient Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Trial
- Pan-cancer prognostic value of TGFBR1: Bioinformatics and experimental validation with a focus on gastric cancer.Oncology letters · 2026Article
- Whole-Exome Sequencing Identifies Candidate Genomic Features Associated with Response to Platinum-Based Chemotherapy and Ixabepilone-Based Treatment in Ovarian Cancer.International journal of molecular sciences · 2026Article
- Multi-modal data integration reveals functionally credible predictive biomarkers in ovarian cancer.Genome medicine · 2026Article
- Rethinking ovarian cancer III: the past decade and future directions.Nature reviews. Cancer · 2026Review
- Ex Vivo Immuno-Oncology Platform Reveals Spatial T-cell Infiltration Patterns Linked to ATR Inhibition Responses in High-Grade Serous Ovarian Cancer.Cancer immunology research · 2026Article
- Dynamic and Ongoing De Novo L1 Retrotransposition Contributes to Genome Plasticity and Intrapatient Heterogeneity in Ovarian Cancer.Cancer research · 2026Article
- Ex vivo drug sensitivity testing predicts treatment outcomes in advanced ovarian cancer.NPJ precision oncology · 2026Article
- Artificial intelligence (AI) and machine learning (ML) in ovarian cancer: transforming detection, treatment, and prevention.Journal of ovarian research · 2026Review
- Cancer and Aging Biomarkers: Classification, Early Detection Technologies and Emerging Research Trends.Biosensors · 2025Review
- Decoding the Genomic and Functional Landscape of Emerging Subtypes in Ovarian Cancer.Cancer discovery · 2025Article
- Advances in Systemic Therapy for Ovarian Cancer Over the Past Decade: A Clinical and Molecular Perspective.Medical science monitor : international medical journal of experimental and clinical research · 2025Review
- Homologous recombination deficiency among patients with germline or somatic non-BRCA1/2 homologous recombination repair gene variations.NPJ precision oncology · 2025Article
- Robust Assessment of Homologous Recombination Deficiency Genomic Instability by OncoScan Microarrays.The Journal of molecular diagnostics : JMD · 2025Article
- The role of nanomedicine and artificial intelligence in cancer health care: individual applications and emerging integrations-a narrative review.Discover oncology · 2025Review
- PARP Inhibitors in the Neoadjuvant Setting; A Comprehensive Overview of the Rationale for their Use, Past and Ongoing Clinical Trials.Current oncology reports · 2025Review
- Challenges to Innovation Arising from Current Companion Diagnostic Regulations and Suggestions for Improvements.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Article
- Homologous recombination deficiency (HRD) testing landscape: clinical applications and technical validation for routine diagnostics.Biomarker research · 2025Review
- Evaluation of the Oncomine Comprehensive Assay Plus NGS Panel and the OncoScan CNV Assay for Homologous Recombination Deficiency Detection.Molecular diagnosis & therapy · 2025Article
- Homologous recombination deficiency in breast cancer: genomic characteristics, clinical implications, and predictive value in neoadjuvant therapy.Frontiers in oncology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 5 institutions in 2 countries.
Funding
Abstract
Homologous recombination DNA-repair deficiency (HRD) is a common driver of genomic instability and confers a therapeutic vulnerability in cancer. The accurate detection of somatic allelic imbalances (AIs) has been limited by methods focused on BRCA1/2 mutations and using mixtures of cancer types. Using pan-cancer data, we revealed distinct patterns of AIs in high-grade serous ovarian cancer (HGSC). We used machine learning and statistics to generate improved criteria to identify HRD in HGSC (ovaHRDscar). ovaHRDscar significantly predicted clinical outcomes in three independent patient cohorts with higher precision than previous methods. Characterization of 98 spatiotemporally distinct metastatic samples revealed low intra-patient variation and indicated the primary tumor as the preferred site for clinical sampling in HGSC. Further, our approach improved the prediction of clinical outcomes in triple-negative breast cancer (tnbcHRDscar), validated in two independent patient cohorts. In conclusion, our tumor-specific, systematic approach has the potential to improve patient selection for HR-targeted therapies.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.