Evidence map›Paper›PMID 38868205›Full record

ArticleiScience2024

Sarcoma_CellminerCDB: A tool to interrogate the genomic and functional characteristics of a comprehensive collection of sarcoma cell lines.

Camille Tlemsani, Christine M Heske, Fathi Elloumi, Lorinc Pongor, Prashant Khandagale, Sudhir Varma, Augustin Luna, Paul S Meltzer, Javed Khan, William C Reinhold and 1 more

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
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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

11 authors.

Camille TlemsaniDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
Christine M HeskePediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Fathi ElloumiDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
Lorinc PongorDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
Prashant KhandagaleDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
Sudhir VarmaDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
Augustin LunaDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
Paul S MeltzerGenetics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
Javed KhanGenetics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
William C ReinholdDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
Yves PommierDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA.

Funding

Functional Genomics of SarcomaZIABC010759 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MELTZER, PAUL S. · 2009 to 2025
$22.3M
Cancer Genomics Technology DevelopmentZIABC011091 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MELTZER, PAUL S. · 2009 to 2025
$16.9M
Development and translation of novel therapies for pediatric sarcomaZIABC011774 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HESKE, CHRISTINE · 2017 to 2025
$9.3M
Genomics and Systems Pharmacology CoreZICBC011475 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI REINHOLD, WILLIAM · 2013 to 2025
$3.4M
Computational Analysis of Drug Response in Biological NetworksZIALM240126 · NLM · NATIONAL LIBRARY OF MEDICINE · PI LUNA, AUGUSTIN · 2024 to 2025
$1.8M
RNA sequencing (RNA-Seq) of the NCI-60ZICBC011497 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI REINHOLD, WILLIAM · 2013 to 2025
$1.7M
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
6 · The paper itself

Abstract

Sarcomas are a diverse group of rare malignancies composed of multiple different clinical and molecular subtypes. Due to their rarity and heterogeneity, basic, translational, and clinical research in sarcoma has trailed behind that of other cancers. Outcomes for patients remain generally poor due to an incomplete understanding of disease biology and a lack of novel therapies. To address some of the limitations impeding preclinical sarcoma research, we have developed Sarcoma_CellMinerCDB, a publicly available interactive tool that merges publicly available sarcoma cell line data and newly generated omics data to create a comprehensive database of genomic, transcriptomic, methylomic, proteomic, metabolic, and pharmacologic data on 133 annotated sarcoma cell lines. The reproducibility, functionality, biological relevance, and therapeutic applications of Sarcoma_CellMinerCDB described herein are powerful tools to address and generate biological questions and test hypotheses for translational research. Sarcoma_CellMinerCDB (https://discover.nci.nih.gov/SarcomaCellMinerCDB) aims to contribute to advancing the preclinical study of sarcoma.

Indexed as

CancerCancer systems biologyCell biologyGenomicsProteomicsTranscriptomics

Identifiers

PMID38868205
PMCPMC11167437

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.