Evidence map›Paper›PMID 37140427›Full record

ArticleCancer research2023

CellMinerCDB: NCATS Is a Web-Based Portal Integrating Public Cancer Cell Line Databases for Pharmacogenomic Explorations.

William C Reinhold, Kelli Wilson, Fathi Elloumi, Katie R Bradwell, Michele Ceribelli, Sudhir Varma, Yanghsin Wang, Damien Duveau, Nikhil Menon, Jane Trepel and 7 more

Open access · greenAbstract read
In one paragraph

Article in Cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.1field-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

18 citing papers in PubMed, 31 citations in OpenAlex.

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  9. Multi-Component, Time-Course screening to develop combination cancer therapies based on synergistic toxicity.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

17 authors at 6 institutions in 1 country.

William C Reinhold *Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland.ORCID 0000-0001-5513-9323
Kelli Wilson *National Center for Advancing Translational Sciences, NIH Bethesda, Maryland.ORCID 0000-0003-2636-2766
Fathi ElloumiDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland.ORCID 0009-0007-7116-508X
Katie R BradwellPalantir Technologies, Denver, Colorado.ORCID 0000-0002-9730-1808
Michele CeribelliNational Center for Advancing Translational Sciences, NIH Bethesda, Maryland.ORCID 0000-0001-9857-9521
Sudhir VarmaDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland.ORCID 0000-0002-4096-4782
Yanghsin WangDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland.ORCID 0009-0005-3445-3707
Damien DuveauNational Center for Advancing Translational Sciences, NIH Bethesda, Maryland.ORCID 0000-0001-9954-7126
Nikhil MenonNational Center for Advancing Translational Sciences, NIH Bethesda, Maryland.ORCID 0009-0002-5443-0084
Jane TrepelDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland.ORCID 0000-0002-7681-6554
Xiaohu ZhangNational Center for Advancing Translational Sciences, NIH Bethesda, Maryland.ORCID 0000-0002-5872-4656
Carleen Klumpp-ThomasNational Center for Advancing Translational Sciences, NIH Bethesda, Maryland.ORCID 0000-0002-6646-6132
Samuel MichealNational Center for Advancing Translational Sciences, NIH Bethesda, Maryland.ORCID 0000-0002-1070-6563
Paul Shinn *National Center for Advancing Translational Sciences, NIH Bethesda, Maryland.
Augustin LunacBio Center, Dana-Farber Cancer Institute and Department of Cell Biology, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-5709-371X
Craig ThomasNational Center for Advancing Translational Sciences, NIH Bethesda, Maryland.ORCID 0000-0001-9386-9001
Yves PommierDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland.ORCID 0000-0002-3108-0758
National Center for Advancing Translational Sciences · USNational Cancer Institute · USCreation Technologies (United States) · USDana-Farber Cancer Institute · USEP Analytics (United States) · USVirginia International University · US

Funding

Research Services Section (RSS)ZICTR000242 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI WILSON, KELLI · 2015 to 2025
$64.9M
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
Signal Transduction Events and the Regulation of Cell GrowthZICSC006743 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI TREPEL, JANE B · 2009 to 2023
$13.8M
HTS enabled examination of drug combinationsZIATR000047 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI THOMAS, CRAIG · 2015 to 2025
$7.1M
Genomics and Systems Pharmacology CoreZICBC011475 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI REINHOLD, WILLIAM · 2013 to 2025
$3.4M
PROTEIN-ASSOCIATED DNA BREAKS AS INDICATOR OF TOPOISOMERASE INHIBITIONZ01BC006150 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI POMMIER, YVES · 1996 to 2008
$1.5M
Comparison of molecular factors to drug activities.ZICBC011509 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI REINHOLD, WILLIAM · 2013 to 2025
$1.4M
DNA methylation data development and for small cell lung cancerZICBC011820 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI REINHOLD, WILLIAM · 2018 to 2025
$907k
Intramural NIH HHS Z01 BC006150Intramural NIH HHS ZIC BC011475
6 · The paper itself

Abstract

Major advances have been made in the field of precision medicine for treating cancer. However, many open questions remain that need to be answered to realize the goal of matching every patient with cancer to the most efficacious therapy. To facilitate these efforts, we have developed CellMinerCDB: National Center for Advancing Translational Sciences (NCATS; https://discover.nci.nih.gov/rsconnect/cellminercdb_ncats/), which makes available activity information for 2,675 drugs and compounds, including multiple nononcology drugs and 1,866 drugs and compounds unique to the NCATS. CellMinerCDB: NCATS comprises 183 cancer cell lines, with 72 unique to NCATS, including some from previously understudied tissues of origin. Multiple forms of data from different institutes are integrated, including single and combination drug activity, DNA copy number, methylation and mutation, transcriptome, protein levels, histone acetylation and methylation, metabolites, CRISPR, and miscellaneous signatures. Curation of cell lines and drug names enables cross-database (CDB) analyses. Comparison of the datasets is made possible by the overlap between cell lines and drugs across databases. Multiple univariate and multivariate analysis tools are built-in, including linear regression and LASSO. Examples have been presented here for the clinical topoisomerase I (TOP1) inhibitors topotecan and irinotecan/SN-38. This web application provides both substantial new data and significant pharmacogenomic integration, allowing exploration of interrelationships. SIGNIFICANCE: CellMinerCDB: NCATS provides activity information for 2,675 drugs in 183 cancer cell lines and analysis tools to facilitate pharmacogenomic research and to identify determinants of response.

Indexed as

National Center for Advancing Translational Sciences (U.S.)Neoplasms, Basal CellCell Line, TumorDatabases, FactualHumansInternetIrinotecanPharmacogeneticsUnited StatesIrinotecan

Identifiers

PMID37140427
PMCPMC10330642
OpenAlexW4368361182

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.