Evidence map›Paper›PMID 27894102›Full record

ArticleOncotarget2016

Comparative proteomics of a model MCF10A-KRasG12V cell line reveals a distinct molecular signature of the KRasG12V cell surface.

Xiaoying Ye, King C Chan, Andrew M Waters, Matthew Bess, Adam Harned, Bih-Rong Wei, Jadranka Loncarek, Brian T Luke, Benjamin C Orsburn, Bradley D Hollinger and 8 more

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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. Discovery of a novel and potent KRASJournal of enzyme inhibition and medicinal chemistry · 2026
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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

18 authors.

Xiaoying YeCancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA.
King C ChanCancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA.
Andrew M WatersCancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA.
Matthew BessCancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA.
Adam HarnedCancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA.
Bih-Rong WeiLaboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Jadranka LoncarekLaboratory of Protein Dynamics and Signaling, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA.
Brian T LukeAdvanced Biomedical Computing Center, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA.
Benjamin C OrsburnThermo Fisher Scientific, Waltham, MA 02451, USA.
Bradley D HollingerCancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA.
Robert M StephensCancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA.
Rachel BagniCancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA.
Alex MartinkoDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158-2517, USA.
James A WellsDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158-2517, USA.
Dwight V NissleyCancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA.
Frank McCormickUCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA 94158-9001, USA.
Gordon WhiteleyCancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA.
Josip BlonderCancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA.

Funding

RESEARCH TRAINING IN CHEMISTRY AND CHEMICAL BIOLOGYT32GM064337 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CRAIK, CHARLES SCOTT · 2002 to 2021
$7.8M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENIGMS NIH HHS T32 GM064337
6 · The paper itself

Abstract

Oncogenic Ras mutants play a major role in the etiology of most aggressive and deadly carcinomas in humans. In spite of continuous efforts, effective pharmacological treatments targeting oncogenic Ras isoforms have not been developed. Cell-surface proteins represent top therapeutic targets primarily due to their accessibility and susceptibility to different modes of cancer therapy. To expand the treatment options of cancers driven by oncogenic Ras, new targets need to be identified and characterized at the surface of cancer cells expressing oncogenic Ras mutants. Here, we describe a mass spectrometry-based method for molecular profiling of the cell surface using KRasG12V transfected MCF10A (MCF10A-KRasG12V) as a model cell line of constitutively activated KRas and native MCF10A cells transduced with an empty vector (EV) as control. An extensive molecular map of the KRas surface was achieved by applying, in parallel, targeted hydrazide-based cell-surface capturing technology and global shotgun membrane proteomics to identify the proteins on the KRasG12V surface. This method allowed for integrated proteomic analysis that identified more than 500 cell-surface proteins found unique or upregulated on the surface of MCF10A-KRasG12V cells. Multistep bioinformatic processing was employed to elucidate and prioritize targets for cross-validation. Scanning electron microscopy and phenotypic cancer cell assays revealed changes at the cell surface consistent with malignant epithelial-to-mesenchymal transformation secondary to KRasG12V activation. Taken together, this dataset significantly expands the map of the KRasG12V surface and uncovers potential targets involved primarily in cell motility, cellular protrusion formation, and metastasis.

Indexed as

Antigens, CDAntigens, NeoplasmBasiginCell Adhesion MoleculesCell Line, TumorCell MovementComputational BiologyEpithelial-Mesenchymal TransitionGlycoproteinsHumansMass SpectrometryMembrane ProteinsMicroscopy, Electron, ScanningMutant ProteinsNeoplasm ProteinsProteomicsAntigens, CDAntigens, NeoplasmBasiginBSG protein, humanCDCP1 protein, humanCell Adhesion MoleculesGlycoproteinsKRAS protein, humanMembrane ProteinsMutant ProteinsNeoplasm ProteinsProto-Oncogene Proteins p21(ras)cell surface proteomedrug targetsKRasG12Vmass spectrometryproteomics

Identifiers

PMID27894102
PMCPMC5341332

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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.