Evidence map›Paper›PMID 22802077›Full record

ArticleCancer research2012

CellMiner: a web-based suite of genomic and pharmacologic tools to explore transcript and drug patterns in the NCI-60 cell line set.

William C Reinhold, Margot Sunshine, Hongfang Liu, Sudhir Varma, Kurt W Kohn, Joel Morris, James Doroshow, Yves Pommier

Abstract read
In one paragraph

Article in Cancer research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 612 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
612citing papers in PubMed, 1 pooled it
–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

612 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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552 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

8 authors.

William C ReinholdLaboratory of Molecular Pharmacology, CCR, National Cancer Institute, NIH, Bethesda, Maryland, USA. wcr@mail.nih.gov
Margot Sunshine
Hongfang Liu
Sudhir Varma
Kurt W Kohn
Joel Morris
James Doroshow
Yves Pommier

Funding

DNA Repair, Cell Cycle Checkpoints and Apoptosis as Targets for Anticancer DrugsZIABC006150 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI POMMIER, YVES · 2009 to 2025
$23.0M
Phase 01 Clinical TrialsZIABC011078 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI DOROSHOW, JAMES · 2009 to 2025
$9.0M
Investigating Regulatory Networks that Control Cell Proliferation and ApoptosisZIABC006192 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KOHN, KURT · 2009 to 2014
$3.8M
Genomics and Systems Pharmacology CoreZICBC011475 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI REINHOLD, WILLIAM · 2013 to 2025
$3.4M
Onto-BioThesaurus: ontological representation of gene/protein names for biomedicaR01LM009959 · NLM · MAYO CLINIC ROCHESTER · PI LIU, HONGFANG · 2009 to 2010
$1.2M
Intramural NIH HHS Z99 CA999999NCI NIH HHS Y99 CA999999NLM NIH HHS R01 LM009959
6 · The paper itself

Abstract

High-throughput and high-content databases are increasingly important resources in molecular medicine, systems biology, and pharmacology. However, the information usually resides in unwieldy databases, limiting ready data analysis and integration. One resource that offers substantial potential for improvement in this regard is the NCI-60 cell line database compiled by the U.S. National Cancer Institute, which has been extensively characterized across numerous genomic and pharmacologic response platforms. In this report, we introduce a CellMiner (http://discover.nci.nih.gov/cellminer/) web application designed to improve the use of this extensive database. CellMiner tools allowed rapid data retrieval of transcripts for 22,379 genes and 360 microRNAs along with activity reports for 20,503 chemical compounds including 102 drugs approved by the U.S. Food and Drug Administration. Converting these differential levels into quantitative patterns across the NCI-60 clarified data organization and cross-comparisons using a novel pattern match tool. Data queries for potential relationships among parameters can be conducted in an iterative manner specific to user interests and expertise. Examples of the in silico discovery process afforded by CellMiner were provided for multidrug resistance analyses and doxorubicin activity; identification of colon-specific genes, microRNAs, and drugs; microRNAs related to the miR-17-92 cluster; and drug identification patterns matched to erlotinib, gefitinib, afatinib, and lapatinib. CellMiner greatly broadens applications of the extensive NCI-60 database for discovery by creating web-based processes that are rapid, flexible, and readily applied by users without bioinformatics expertise.

Indexed as

Databases, FactualDrug EvaluationGene ExpressionGenomicsInformation Storage and RetrievalInternetAntineoplastic AgentsComputational BiologyHumansMicroarray AnalysisMicroRNAsNational Cancer Institute (U.S.)RNAUnited StatesAntineoplastic AgentsMicroRNAsRNA

Identifiers

PMID22802077
PMCPMC3399763

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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.