Evidence map›Paper›PMID 32776290›Full record

ArticleBreast cancer research and treatment2020

Actionable co-alterations in breast tumors with pathogenic mutations in the homologous recombination DNA damage repair pathway.

Arielle L Heeke, Joanne Xiu, Andrew Elliott, W Michael Korn, Filipa Lynce, Paula R Pohlmann, Claudine Isaacs, Sandra M Swain, Gregory Vidal, Lee S Schwartzberg and 1 more

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In one paragraph

Article in Breast cancer research and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  3. Pathologica · 2025
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  4. Molecular Basis of Breast Tumor Heterogeneity.Advances in experimental medicine and biology · 2025
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  5. Distribution of PD-L1, TROP2 and HER2- "lowness" in early triple-negative breast cancer: an opportunity for treatment de-escalation.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Arielle L HeekeLevine Cancer Institute, Atrium Health, Charlotte, NC, USA. Arielle.Heeke@atriumhealth.org.ORCID http://orcid.org/0000-0001-7809-2564
Joanne XiuCaris Life Sciences, Inc., Phoenix, AZ, USA.
Andrew ElliottCaris Life Sciences, Inc., Phoenix, AZ, USA.
W Michael KornCaris Life Sciences, Inc., Phoenix, AZ, USA.
Filipa LynceLombardi Comprehensive Cancer Center, MedStar Georgetown University Hospital, Washington, DC, USA.
Paula R PohlmannLombardi Comprehensive Cancer Center, MedStar Georgetown University Hospital, Washington, DC, USA.
Claudine IsaacsLombardi Comprehensive Cancer Center, MedStar Georgetown University Hospital, Washington, DC, USA.
Sandra M SwainLombardi Comprehensive Cancer Center, MedStar Georgetown University Hospital, Washington, DC, USA.
Gregory VidalWest Cancer Center and Research Institute, Germantown, TN, USA.
Lee S SchwartzbergWest Cancer Center and Research Institute, Germantown, TN, USA.
Antoinette R TanLevine Cancer Institute, Atrium Health, Charlotte, NC, USA.
Georgetown University · USPhoenix (United States) · USLevine Cancer Institute · USUniversity of Tennessee Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHomologous recombination (HR)-deficient breast tumors may have genomic alterations that predict response to treatment with PARP inhibitors and other targeted therapies.

methodsComprehensive molecular profiles of 4647 breast tumors performed at Caris Life Sciences using 592-gene NGS were reviewed to identify somatic pathogenic mutations in HR genes ARID1A, ATM, ATRX, BAP1, BARD1, BLM, BRCA1/2, BRIP1, CHEK1/2, FANCA/C/D2/E/F/G/L, KMT2D, MRE11, NBN, PALB2, RAD50/51/51B, and WRN, as well as 41 markers that may be associated with treatment response to targeted anticancer therapies.

results17.9% of breast tumors had HR mutations (HR-MT, 831/4647) [ER/PR+ , HER2- 18.3%, n = 2183; TNBC 18.2%, n = 1568; ER/PR+ , HER2+ 15.6%, n = 237; ER/PR-, HER2+ 12.9%, n = 217; unknown n = 442]. Mean TMB was higher for HR-MT tumors across subtypes (9.2 mut/Mb vs 7.6 h-wild type (HR-WT), p ≤ 0.0001) and independent of microsatellite status. MSI-H/dMMR was more frequent among HR-MT tumors (2.1% HR-MT vs 0.2% HR-WT, p ≤ 0.0001), as was tumor PD-L1 overexpression (13.2% HR-MT vs 11.0% HR-WT, p = 0.08). Additional co-alterations were similar between HR-MT and HR-WT, with the exception of PIK3CA (30.3% HR-WT vs 26.4% HR-MT, p = 0.024) and AKT1 (3.7% HR-WT vs 2.1% HR-MT, p = 0.021). AR overexpression and PIK3CA mutations were more common among ER/PR+ tumors. ERBB2 mutations were seen in both HER2+ and HER2- tumors.

conclusionsHR-MT was common across breast cancer subtypes and co-occurred more frequently with markers of response to immunotherapy (MSI-H/dMMR, TMB) compared to HR-WT tumors. Mutations were identified in both HR-MT and HR-WT tumors that suggest other targets for treatment. Clinical trials combining HRD-targeted agents and immunotherapy are underway and could be enriched through comprehensive molecular profiling.

Indexed as

Antineoplastic AgentsBreast NeoplasmsDNA DamageFemaleHomologous RecombinationHumansMutationTumor Suppressor ProteinsUbiquitin ThiolesteraseAntineoplastic AgentsBAP1 protein, humanTumor Suppressor ProteinsUbiquitin ThiolesteraseBreast cancerCo-alterationsHomologous recombination deficiencyMolecular profiling

Identifiers

PMID32776290
OpenAlexW3047705151

What OpenQuestion holds

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Registered trials

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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.