Evidence map›Paper›PMID 32352724›Full record

ArticleClinical and translational gastroenterology2020

Homologous Recombination Repair Truncations Predict Hypermutation in Microsatellite Stable Colorectal and Endometrial Tumors.

Minyi Lee, George Eng, Stephanie R Barbari, Vikram Deshpande, Polina V Shcherbakova, Manish K Gala

Open access · goldAbstract readValidation Study
In one paragraph

Article in Clinical and translational gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Minyi LeeGastrointestinal Unit, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
George EngGastrointestinal Unit, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
Stephanie R BarbariEppley Institute for Research in Cancer and Allied Diseases, Fred & Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Vikram DeshpandeDepartment of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
Polina V ShcherbakovaEppley Institute for Research in Cancer and Allied Diseases, Fred & Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Manish K GalaGastrointestinal Unit, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
Harvard University · USMassachusetts General Hospital · USUniversity of Nebraska Medical Center · US

Funding

CHEMICAL CARCINOGENESIS &CANCER BIOLOGYT32CA009476 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Jennifer D. Black · 1988 to 2026
$6.2M
Translesion Synthesis DNA Polymerases and Genome InstabilityR01ES015869 · NIEHS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI SHCHERBAKOVA, POLINA V · 2009 to 2023
$4.7M
Mechanisms of Genome Instability in Tumors with DNA Polymerase Epsilon MutationsR01CA239688 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI SHCHERBAKOVA, POLINA V · 2020 to 2024
$2.3M
Genetics of Sessile Serrated PolypsK23DK103119 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI GALA, MANISH · 2014 to 2018
$960k
NCI NIH HHS R01 CA239688NCI NIH HHS T32 CA009476NIDDK NIH HHS K23 DK103119NIEHS NIH HHS R01 ES015869
6 · The paper itself

Abstract

introductionSomatic mutations in BRCA1/2 and other homologous recombination repair (HRR) genes have been associated with sensitivity to PARP inhibitors and/or platinum agents in several cancers, whereas hypermutant tumors caused by alterations in POLE or mismatch repair genes have demonstrated robust responses to immunotherapy. We investigated the relationship between somatic truncations in HRR genes and hypermutation in colorectal cancer (CRC) and endometrial cancer (EC).

methodsWe analyzed the mutational spectra associated with somatic BRCA1/2 truncations in multiple genomic cohorts (N = 2,335). From these results, we devised a classifier incorporating HRR genes to predict hypermutator status among microsatellite stable (MSS) tumors. Using additional genomic cohorts (N = 1,439) and functional in vivo assays, we tested the classifier to disambiguate POLE variants of unknown significance and identify MSS hypermutators without somatic POLE exonuclease domain mutations.

resultsHypermutator phenotypes were prevalent among CRCs with somatic BRCA1/2 truncations (50/62, 80.6%) and ECs with such mutations (44/47, 93.6%). The classifier predicted MSS hypermutators with a cumulative true-positive rate of 100% in CRC and 98.0% in EC and a false-positive rate of 0.07% and 0.63%. Validated by signature analyses of tumor exomes and in vivo assays, the classifier accurately reassigned multiple POLE variants of unknown significance as pathogenic and identified MSS hypermutant samples without POLE exonuclease domain mutations. DISCUSSION: Somatic truncations in HRR can accurately fingerprint MSS hypermutators with or without known pathogenic exonuclease domain mutations in POLE and may serve as a low-cost biomarker for immunotherapy decisions in MSS CRC and EC.

Indexed as

Antineoplastic AgentsBiomarkers, TumorBRCA1 ProteinBRCA2 ProteinClinical Decision-MakingColorectal NeoplasmsDatasets as TopicDNA Mismatch RepairDNA Mutational AnalysisDNA Polymerase IIDrug Resistance, NeoplasmEndometrial NeoplasmsExome SequencingFemaleHumansMaleAntineoplastic AgentsBiomarkers, TumorBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanDNA Polymerase IIPOLE protein, humanPoly-ADP-Ribose Binding Proteins

Identifiers

PMID32352724
PMCPMC7145036
OpenAlexW3013726819

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.