Evidence map›Paper›PMID 31558472›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2020

A Transcriptionally Definable Subgroup of Triple-Negative Breast and Ovarian Cancer Samples Shows Sensitivity to HSP90 Inhibition.

Kevin Shee, Jason D Wells, Matthew Ung, Riley A Hampsch, Nicole A Traphagen, Wei Yang, Stephanie C Liu, Megan A Zeldenrust, Liewei Wang, Krishna R Kalari and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

17 authors at 3 institutions in 1 country.

Kevin SheeDepartment of Molecular & Systems Biology, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.ORCID 0000-0001-5378-7650
Jason D WellsDepartment of Molecular & Systems Biology, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Matthew UngDepartment of Biomedical Data Sciences, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Riley A HampschDepartment of Molecular & Systems Biology, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Nicole A TraphagenDepartment of Molecular & Systems Biology, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Wei YangDepartment of Molecular & Systems Biology, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Stephanie C LiuDepartment of Molecular & Systems Biology, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Megan A ZeldenrustDepartment of Oncology, Mayo Clinic, Rochester, Minnesota.
Liewei WangDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota.
Krishna R KalariDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.
Jia YuDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota.
Judy C BougheyDepartment of Surgery, Mayo Clinic, Rochester, Minnesota.
Eugene DemidenkoDepartment of Community and Family Medicine, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Arminja N KettenbachDepartment of Biochemistry, and Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Chao ChengDepartment of Biomedical Data Sciences, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.ORCID 0000-0002-5002-3417
Matthew P GoetzDepartment of Oncology, Mayo Clinic, Rochester, Minnesota.
Todd W MillerDepartment of Molecular & Systems Biology, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire. Todd.W.Miller@Dartmouth.edu.
Dartmouth College · USMayo Clinic · USMayo Clinic in Florida · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI AKHILESH PANDEY · 1985 to 2026
$151.3M
Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
The Role of CHFR in Tumorigenesis and Paclitaxel-Sensitivity in Breast CancerP50CA116201 · NCI · MAYO CLINIC ROCHESTER · PI Fergus Joseph Couch · 2005 to 2026
$49.9M
Understanding the role of RNA-binding protein mutations in cancerP20GM113132 · NIGMS · DARTMOUTH COLLEGE · PI MIERKE, DALE F · 2016 to 2025
$25.9M
Phosphorylation Signaling by Phosphoprotein PhosphatasesR35GM119455 · NIGMS · DARTMOUTH COLLEGE · PI Arminja Nadine Kettenbach · 2016 to 2026
$5.1M
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 N01 CA015083NCI NIH HHS P30 CA015083NCI NIH HHS P30 CA023108NCI NIH HHS P50 CA116201NCI NIH HHS R01 CA200994NCI NIH HHS R01 CA211869NIGMS NIH HHS P20 GM113132NIGMS NIH HHS R35 GM119455
6 · The paper itself

Abstract

purposeWe hypothesized that integrated analysis of cancer types from different lineages would reveal novel molecularly defined subgroups with unique therapeutic vulnerabilities. On the basis of the molecular similarities between subgroups of breast and ovarian cancers, we analyzed these cancers as a single cohort to test our hypothesis. EXPERIMENTAL

designIdentification of transcriptional subgroups of cancers and drug sensitivity analyses were performed using mined data. Cell line sensitivity to Hsp90 inhibitors (Hsp90i) was tested

resultsTranscriptomic analyses of breast and ovarian cancer cell lines uncovered two mixed subgroups comprised primarily of triple-negative breast and multiple ovarian cancer subtypes. Drug sensitivity analyses revealed that cells of one mixed subgroup are significantly more sensitive to Hsp90i compared with cells from all other cancer lineages evaluated. A gene expression classifier was generated that predicted Hsp90i sensitivity

conclusionsOur findings identify Hsp90i as a potential therapeutic strategy for a transcriptionally defined subgroup of ovarian and breast cancers. This study demonstrates that gene expression profiles may be useful to identify therapeutic vulnerabilities in tumor types with limited targetable genetic alterations, and to identify molecularly definable cancer subgroups that transcend lineage.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsAntineoplastic AgentsApoptosisBiomarkers, TumorBreast NeoplasmsCell Line, TumorFemaleGene Expression ProfilingHSP90 Heat-Shock ProteinsHumansMiceMice, Inbred NODTriple Negative Breast NeoplasmsXenograft Model Antitumor AssaysAntineoplastic AgentsBiomarkers, TumorHSP90 Heat-Shock Proteins

Identifiers

PMID31558472
PMCPMC6942625
OpenAlexW2975045943

What OpenQuestion holds

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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.