ReviewCancers2023
Homologous Recombination Deficiency Detection Algorithms: A Systematic Review.
Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 8 citations in OpenAlex.
- Homologous recombination deficiency-driven genomic instability in ovarian cancer as an indicator of BRCA1 and BRCA2 variant pathogenicity.American journal of human genetics · 2026Article
- Enhanced Detection of BRCA Copy Number Alterations Within a Commercial HRD Assay: Implications for Precision Oncology in Ovarian Cancer.International journal of molecular sciences · 2026Article
- Advances and challenges in biomarker guided management of triple-negative breast cancer in the era of neoadjuvant chemo-immunotherapy.Frontiers in oncology · 2026Review
- Preliminary evaluation of ShallowHRD performance compared to HRDetect in familial breast cancer tumors.Scientific reports · 2025Article
- Clinical Characteristics and Survival of Ovarian Cancer Patients According to Homologous Recombination Deficiency Status.Cancers · 2025Article
- Genomic scarring score predicts the response to PARP inhibitors in non-small cell lung cancer.NPJ precision oncology · 2024Article
- The coexistence of a BRCA2 germline and a DICER1 somatic variant in two first-degree cousins suggests their potential synergic effect.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Homologous recombination deficiency (HRD) can arise from germline or somatic pathogenic variants as well as other genomic damage and epigenetic alterations in the HR repair pathway. Patients with tumors presenting with an HRD phenotype can show sensitivity to Poly (ADP-ribose) polymerase inhibitors (PARPis). Several promising tests to detect HRD have been developed based on different HRD definitions, biomarkers, and algorithms. However, no consensus on a gold standard HRD test has been established. In this systematic review, a comprehensive list of tests for the detection of HRD was identified and compared regarding HRD definition, biomarkers, and algorithms. PubMed's Medline and Elsevier's Embase were systematically searched, resulting in 27 eligible articles meeting the inclusion criteria. The primary challenge when comparing HRD tests lies in the lack of a consensus definition of HRD, as the HRD definition influences the proportion of samples being classified as HRD and impacts the classification performance. This systematic review provides an overview of available HRD tests that can inspire other researchers in searching for a gold standard HRD definition and highlights the importance of the factors that should be considered when choosing an HRD definition and tests for future planning of clinical trials and studies.
Indexed as
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.