Evidence map›Paper›PMID 31682620›Full record

ArticlePloS one2019

Integrated pan-cancer gene expression and drug sensitivity analysis reveals SLFN11 mRNA as a solid tumor biomarker predictive of sensitivity to DNA-damaging chemotherapy.

Kevin Shee, Jason D Wells, Amanda Jiang, Todd W Miller

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 42 citations in OpenAlex.

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  6. Antitumor Activity and Biomarker Analysis for TROP2 Antibody-Drug Conjugate Datopotamab Deruxtecan in Patient-Derived Breast Cancer Xenograft Models.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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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

4 authors at 1 institution in 1 country.

Kevin SheeDepartment of Molecular & Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, United States of America.ORCID 0000-0001-5378-7650
Jason D WellsDepartment of Molecular & Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, United States of America.
Amanda JiangDepartment of Molecular & Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, United States of America.
Todd W MillerDepartment of Molecular & Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, United States of America.
Dartmouth College · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
A precision medicine basis for estrogen therapy for advanced breast cancerR01CA200994 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI Todd W. Miller · 2017 to 2026
$3.7M
Timing is everything: applications in precision oncology for ER+ breast cancerR01CA211869 · NCI · DARTMOUTH COLLEGE · PI MILLER, TODD W. · 2017 to 2021
$2.1M
Microenvironmental FGF2-mediated resistance to anti-estrogen and PI3K/mTOR pathway therapeutics in ER+ breast cancerF30CA216966 · NCI · DARTMOUTH COLLEGE · PI SHEE, KEVIN · 2017 to 2020
$176k
NCI NIH HHS F30 CA216966NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA200994NCI NIH HHS R01 CA211869
6 · The paper itself

Abstract

backgroundPrecision oncology seeks to integrate multiple layers of data from a patient's cancer to effectively tailor therapy. Conventional chemotherapies are sometimes effective but accompanied by adverse events, warranting the identification of a biomarker of chemosensitivity.

objectiveIdentify an mRNA biomarker that predicts chemosensitivity across solid tumor subtypes.

methodsWe performed a pan-solid tumor analysis integrating gene expression and drug sensitivity profiles from 3 cancer cell line datasets to identify transcripts correlated with sensitivity to a panel of chemotherapeutics. We then tested the ability of an mRNA biomarker to predictive clinical outcomes in cohorts of patients with breast, lung, or ovarian cancer.

resultsExpression levels of several mRNA transcripts were significantly correlated with sensitivity or resistance chemotherapeutics in cancer cell line datasets. The only mRNA transcript significantly correlated with sensitization to multiple classes of DNA-damaging chemotherapeutics in all 3 cell line datasets was encoded by Schlafen Family Member 11 (SLFN11). Analyses of multiple breast, lung, and ovarian cancer patient cohorts treated with chemotherapy confirmed SLFN11 mRNA expression as a predictive biomarker of longer overall survival and improved tumor response.

conclusionsTumor SLFN11 mRNA expression is a biomarker of sensitivity to an array of DNA-damaging chemotherapeutics across solid tumor subtypes.

Indexed as

Antineoplastic AgentsBiomarkers, TumorCell Line, TumorDatasets as TopicDNA DamageDrug Resistance, NeoplasmFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNeoplasmsNuclear ProteinsPrecision MedicinePredictive Value of TestsPrognosisProgression-Free SurvivalAntineoplastic AgentsBiomarkers, TumorNuclear ProteinsRNA, MessengerSLFN11 protein, human

Identifiers

PMID31682620
PMCPMC6827986
OpenAlexW2983197547

What OpenQuestion holds

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LicenceCC BY
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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.