Evidence map›Paper›PMID 20124458›Full record

ArticleMolecular cancer therapeutics2010

Integrative analysis of proteomic signatures, mutations, and drug responsiveness in the NCI 60 cancer cell line set.

Eun Sung Park, Rosalia Rabinovsky, Mark Carey, Bryan T Hennessy, Roshan Agarwal, Wenbin Liu, Zhenlin Ju, Wanleng Deng, Yiling Lu, Hyun Goo Woo and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cancer therapeutics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 104 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Novel Oxadiazole-Quinoxalines as Hybrid Scaffolds with Antitumor Activity.International journal of molecular sciences · 2025
    Article
  9. Omics-based molecular classifications empowering in precision oncology.Cellular oncology (Dordrecht, Netherlands) · 2024
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
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  20. Article

1 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

17 authors at 6 institutions in 1 country.

Eun Sung ParkDepartment of Melanoma Medical Oncology and Department of Systems Biology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 0904, Houston, TX 77030, USA.
Rosalia Rabinovsky
Mark Carey
Bryan T Hennessy
Roshan Agarwal
Wenbin Liu
Zhenlin Ju
Wanleng Deng
Yiling Lu
Hyun Goo Woo
Sang-Bae Kim
Jae-Ho Cheong
Levi A Garraway
John N Weinstein
Gordon B Mills
Ju-Seog Lee
Michael A Davies
Harvard University · USNational Cancer Institute · USNational Institutes of Health · USDana-Farber Cancer Institute · USThe University of Texas MD Anderson Cancer Center · USCenter for Cancer Research · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Targeting the PI3K Signaling Pathway in Endometrial CarcinomaP50CA098258 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BODURKA, DIANE · 2003 to 2020
$32.0M
NCI NIH HHS CA-16672NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA098258
6 · The paper itself

Abstract

Aberrations in oncogenes and tumor suppressors frequently affect the activity of critical signal transduction pathways. To analyze systematically the relationship between the activation status of protein networks and other characteristics of cancer cells, we did reverse phase protein array (RPPA) profiling of the NCI60 cell lines for total protein expression and activation-specific markers of critical signaling pathways. To extend the scope of the study, we merged those data with previously published RPPA results for the NCI60. Integrative analysis of the expanded RPPA data set revealed five major clusters of cell lines and five principal proteomic signatures. Comparison of mutations in the NCI60 cell lines with patterns of protein expression showed significant associations for PTEN, PIK3CA, BRAF, and APC mutations with proteomic clusters. PIK3CA and PTEN mutation enrichment were not cell lineage-specific but were associated with dominant yet distinct groups of proteins. The five RPPA-defined clusters were strongly associated with sensitivity to standard anticancer agents. RPPA analysis identified 27 protein features significantly associated with sensitivity to paclitaxel. The functional status of those proteins was interrogated in a paclitaxel whole genome small interfering RNA (siRNA) library synthetic lethality screen and confirmed the predicted associations with drug sensitivity. These studies expand our understanding of the activation status of protein networks in the NCI60 cancer cell lines, demonstrate the importance of the direct study of protein expression and activation, and provide a basis for further studies integrating the information with other molecular and pharmacological characteristics of cancer.

Indexed as

Cell Line, TumorMutationAntineoplastic AgentsCluster AnalysisDrug Screening Assays, AntitumorHumansNational Cancer Institute (U.S.)ProteomicsSignal TransductionUnited StatesAntineoplastic Agents

Identifiers

PMID20124458
PMCPMC4085051
OpenAlexW2110729724

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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.