Cited by 1,086BRCA gene mutations in cancerCancer Genomics and DiagnosticsPARP inhibition in cancer therapy

HRDetect is a predictor of BRCA1 and BRCA2 deficiency based on mutational signatures

Open access
Davies, Helen, Glodzik, Dominik, Morganella, Sandro, Yates, Lucy R, Staaf, Johan, Zou, Xueqing, Ramakrishna, Manasa, Martin, Sancha +25 more·2017·Nature Medicine

Abstract

Approximately 1–5% of breast cancers are attributed to inherited mutations in BRCA1 or BRCA2 and are selectively sensitive to poly(ADP-ribose) polymerase (PARP) inhibitors. In other cancer types, germline and/or somatic mutations in BRCA1 and/or BRCA2 (BRCA1/BRCA2) also confer selective sensitivity to PARP inhibitors. Thus, assays to detect BRCA1/BRCA2-deficient tumors have been sought. Recently, somatic substitution, insertion/deletion and rearrangement patterns, or 'mutational signatures', were associated with BRCA1/BRCA2 dysfunction. Herein we used a lasso logistic regression model to identify six distinguishing mutational signatures predictive of BRCA1/BRCA2 deficiency. A weighted model called HRDetect was developed to accurately detect BRCA1/BRCA2-deficient samples. HRDetect identifies BRCA1/BRCA2-deficient tumors with 98.7% sensitivity (area under the curve (AUC) = 0.98). Application of this model in a cohort of 560 individuals with breast cancer, of whom 22 were known to carry a germline BRCA1 or BRCA2 mutation, allowed us to identify an additional 22 tumors with somatic loss of BRCA1 or BRCA2 and 47 tumors with functional BRCA1/BRCA2 deficiency where no mutation was detected. We validated HRDetect on independent cohorts of breast, ovarian and pancreatic cancers and demonstrated its efficacy in alternative sequencing strategies. Integrating all of the classes of mutational signatures thus reveals a larger proportion of individuals with breast cancer harboring BRCA1/BRCA2 deficiency (up to 22%) than hitherto appreciated (∼1–5%) who could have selective therapeutic sensitivity to PARP inhibition.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nm.4292

Cites

51 of 51 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • CHORD performs similarly to HRDetect based on predictions on the BRCA-EU dataset (AUROC = 0.98 for both models).

    “We note that CHORD performs similarly to HRDetect based on predictions on the BRCA-EU dataset (AUROC = 0.98 for both models)9.”

    From Pan-cancer landscape of homologous recombination deficiency. (2020) · cites this paper as [9]

    The Results and Online Methods report an AUROC of 0.98 for HRDetect on the paper’s breast-cancer cohort (page numbers unavailable). They do not report CHORD predictions or a comparison on a dataset identified as BRCA-EU, so the claim that both models achieved 0.98 there is not supported by this source. (LLM, conf=0.90)

    Experimental — accuracy not yet measured
  • The genomic profile of solid tumors with BRCA inactivation is characterized by unique patterns of indels and structural variants.

    “As consequence of these the genomic profile of these tumors is characterized by unique patterns of indels and structural variants.48”

    From Evolution of Multiple Myeloma from a Genomic Perspective (2026) · cites this paper as [48]

    The Results section, “Quantitatively defining features of ‘BRCA’ness” (page not provided), reports distinctive deletion and rearrangement patterns in BRCA1/BRCA2-null breast tumors. This supports the pattern described, but the evidence for both indels and structural variants is from breast tumors, not solid tumors generally. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • These features were used to develop a breast cancer-specific predictor of HRD known as HRDetect.

    “These features were used to develop a breast cancer-specific predictor of HRD known as HRDetect9.”
  • HRDetect is a mutational-signature-based algorithm designed to detect BRCAness or homologous-recombination-repair deficiency, using default breast-cancer-specific parameters.

    “we applied a mutational-signature-based algorithm, HRDetect9 designed to detect “BRCA”ness or Homologous-recombination-repair deficiency (HRD)10, using default breast-cancer-specific parameters.”
  • HRDetect classified 58.6% of the TNBCs as HRDetect-high, 35.9% as HRDetect-low, and 5.5% as intermediate.

    “More than half of TNBCs (58.6%) were classified as HRDetect-high (exceeding predefined score of 0.7, predictive of BRCA1/BRCA2-deficiency9). 35.9% were classified as HRDetect-low (score <0.2), 5.5% fell within an HRD-intermediate category (score 0.2-0.7)”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Davies, H., Glodzik, D., Morganella, S., Yates, L. R., Staaf, J., Zou, X., Ramakrishna, M., Martin, S., Boyault, S., Sieuwerts, A. M., Simpson, P. T., King, T. A., Raine, K., Eyfjord, J. E., Kong, G., Borg, Å., Birney, E., Stunnenberg, H. G., van de Vijver, M. J., Børresen-Dale, A.-L., Martens, J. W. M., Span, P. N., Lakhani, S. R., Vincent-Salomon, A., Sotiriou, C., Tutt, A., Thompson, A. M., Van Laere, S., Richardson, A. L., Viari, A., Campbell, P. J., Stratton, M. R., & Nik-Zainal, S.
Affiliations
  • Wellcome Sanger Institute (GB)
  • Guy's and St Thomas' NHS Foundation Trust (GB)
  • Lund University (SE)
  • AstraZeneca (United Kingdom) (GB)
  • Centre Léon Bérard (FR)
  • Erasmus MC (NL)
  • The University of Queensland (AU)
  • Memorial Sloan Kettering Cancer Center (US)
  • University of Iceland (IS)
  • Hanyang University (KR)
  • European Bioinformatics Institute (GB)
  • Radboud University Nijmegen (NL)
  • Radboud University Medical Center (NL)
  • Université Libre de Bruxelles (BE)
  • Institute of Cancer Research (GB)
  • The University of Texas MD Anderson Cancer Center (US)
  • Brigham and Women's Hospital (US)
  • Institut national de recherche en sciences et technologies du numérique (FR)
Venue
Nature Medicine
Published
2017-03-13
Volume
23
Issue
4
Pages
517-525
ISSN
  • 1078-8956 (ISSN-L)
  • 1546-170X
OpenAlex
W2596164112
Cited by
1,086
References
51
Citations by year
2026: 81 · 2025: 106 · 2024: 108 · 2023: 180 · 2022: 149 · 2021: 148 · 2020: 116 · 2019: 89 · 2018: 78 · 2017: 30
FWCI
56.67
Type
journal article
Language
en
Open access
Locations
  • Nature Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (publishedVersion, other-oa)
  • EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
  • PubMed Central (acceptedVersion)
  • HAL (submittedVersion, other-oa)
  • Apollo (University of Cambridge) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
  • RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
  • Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
  • Lund University Publications (Lund University) (submittedVersion)
  • Radboud Repository (Radboud University) (submittedVersion)
  • Apollo
Funders
  • Breast Cancer Research Foundation
  • Dana-Farber/Harvard Cancer Center (P50 CA168504)
  • Wellcome Trust (077012/Z/05/Z, WT100183MA)
  • Cancer Research UK (23916, 22932, 23433)
  • National Institute for Health and Care Research
  • European Commission (242006)
  • National Research Foundation
  • Nederlandse Organisatie voor Wetenschappelijk Onderzoek
  • National Research Foundation of Korea (2015R1A2A1A10052578)
  • Institut National Du Cancer
  • National Institutes of Health
  • National Cancer Institute (CA168504, P50CA168504)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
  • Health Sciences › Medicine › Oncology › PARP inhibition in cancer therapy
Keywords
BRCA1 deficiency, BRCA2 deficiency, mutational signatures, homologous recombination deficiency, BRCAness, PARP inhibitors, platinum-based chemotherapy, breast cancer, ovarian cancer, pancreatic cancer, prediction model, LASSO logistic regression
MeSH terms
Poly(ADP-ribose) Polymerase Inhibitors, Breast Neoplasms, DNA Mutational Analysis, Female, Humans, Male, Models, Genetic, Mutation, Ovarian Neoplasms, Pancreatic Neoplasms, Logistic Models, Breast Neoplasms, Male, BRCA1 Protein, Area Under Curve, BRCA2 Protein

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review