Evidence map›Paper›PMID 28196595›Full record

ArticleCancer cell2017

Characterization of Human Cancer Cell Lines by Reverse-phase Protein Arrays.

Jun Li, Wei Zhao, Rehan Akbani, Wenbin Liu, Zhenlin Ju, Shiyun Ling, Christopher P Vellano, Paul Roebuck, Qinghua Yu, A Karina Eterovic and 15 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed, 2 pooled it
14.8field-weighted citation impact, top 1% 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

141 citing papers in PubMed, 2 syntheses or guidelines pooled it, 235 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

81 more citing papers are in PubMed but not listed here.

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

25 authors at 3 institutions in 1 country.

Jun LiDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Wei ZhaoDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Rehan AkbaniDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Wenbin LiuDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Zhenlin JuDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Shiyun LingDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Christopher P VellanoDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Paul RoebuckDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Qinghua YuDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
A Karina EterovicDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Lauren A ByersDepartment of Thoracic, Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Michael A DaviesDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Wanleng DengDepartment of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Y N Vashisht GopalDepartment of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Guo ChenDepartment of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Erika M von EuwDivision of Hematology/Oncology, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90404, USA.
Dennis SlamonDivision of Hematology/Oncology, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90404, USA.
Dylan ConklinDivision of Hematology/Oncology, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90404, USA.
John V HeymachDepartment of Thoracic, Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Adi F GazdarHamon Center for Therapeutic Oncology Research, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
John D MinnaHamon Center for Therapeutic Oncology Research, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Jeffrey N MyersDepartment of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yiling LuDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Gordon B MillsDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. Electronic address: gmills@mdanderson.org.
Han LiangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. Electronic address: hliang1@mdanderson.org.
The University of Texas MD Anderson Cancer Center · USUniversity of California, Los Angeles · USThe University of Texas Southwestern Medical Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
Targeting the PI3K Signaling Pathway in Endometrial CarcinomaP50CA098258 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BODURKA, DIANE · 2003 to 2020
$32.0M
Integrative Pipeline for Analysis & Translational Application of TCGA Data (GDAC)U24CA143883 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AKBANI, REHAN, MILLS, GORDON B. · 2009 to 2016
$10.6M
OutreachU54HG008100 · NHGRI · OREGON HEALTH & SCIENCE UNIVERSITY · PI GRAY, JOE W., HEISER, LAURA MADELINE · 2014 to 2019
$10.5M
U.T. M. D. Anderson Cancer Center SPORE in Ovarian CancerP50CA217685 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SOOD, ANIL K · 2017 to 2021
$7.9M
Biological annotation of TCGA dataU01CA168394 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MILLS, GORDON B. · 2012 to 2016
$4.7M
TCPA: an Integrated Bioinformatics Resource for Functional Cancer Proteomic DataU24CA209851 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LIANG, HAN, MILLS, GORDON B. · 2016 to 2020
$4.0M
Integrative bioinformatics and functional characterization of oncogenic driver aberrations in cancerU01CA217842 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DENEEN, BENJAMIN, MILLS, GORDON B. · 2017 to 2021
$3.6M
Lung cancer oncogenotype-selective drug target discoveryU01CA176284 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MACMILLAN, JOHN B, MINNA, JOHN D. · 2013 to 2016
$2.8M
Next-Generation Clustered Heat Maps for fluent, interactive exploration of omic data: Cloud Pilot SupplementU24CA199461 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BROOM, BRADLEY MCINTOSH, WEINSTEIN, JOHN N · 2015 to 2019
$2.7M
Integrated analysis of protein expression data from the Reverse Phase Protein Array (RPPA) platformU24CA210950 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AKBANI, REHAN, MILLS, GORDON B. · 2016 to 2020
$1.8M
NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA070907NCI NIH HHS P50 CA098258NCI NIH HHS P50 CA217685NCI NIH HHS R01 CA175486NCI NIH HHS U01 CA168394NCI NIH HHS U01 CA176284NCI NIH HHS U01 CA217842NCI NIH HHS U24 CA143883NCI NIH HHS U24 CA199461NCI NIH HHS U24 CA209851NCI NIH HHS U24 CA210950NHGRI NIH HHS U54 HG008100
6 · The paper itself

Abstract

Cancer cell lines are major model systems for mechanistic investigation and drug development. However, protein expression data linked to high-quality DNA, RNA, and drug-screening data have not been available across a large number of cancer cell lines. Using reverse-phase protein arrays, we measured expression levels of ∼230 key cancer-related proteins in >650 independent cell lines, many of which have publically available genomic, transcriptomic, and drug-screening data. Our dataset recapitulates the effects of mutated pathways on protein expression observed in patient samples, and demonstrates that proteins and particularly phosphoproteins provide information for predicting drug sensitivity that is not available from the corresponding mRNAs. We also developed a user-friendly bioinformatic resource, MCLP, to help serve the biomedical research community.

Indexed as

Cell Line, TumorComputational BiologyDNA-Binding ProteinsEpithelial-Mesenchymal TransitionErbB ReceptorsHumansMutationNeoplasm ProteinsNuclear ProteinsProtein Array AnalysisProteomicsRNA, MessengerTranscription FactorsARID1A protein, humanDNA-Binding ProteinsErbB ReceptorsNeoplasm ProteinsNuclear ProteinsRNA, MessengerTranscription Factorsbiomarkercancer cell linesdata portaldrug sensitivityproteomicsreverse-phase protein arraysignaling pathways

Identifiers

PMID28196595
PMCPMC5501076
OpenAlexW2588627862

What OpenQuestion holds

Textmetadata
LicenceTDM
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.