Evidence map›Paper›PMID 26519468›Full record

ArticleNucleic acids research2016

ccmGDB: a database for cancer cell metabolism genes.

Pora Kim, Feixiong Cheng, Junfei Zhao, Zhongming Zhao

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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

  1. Pooled it
  2. Metabolic Atlas of Human Eyelid Infiltrative Basal Cell Carcinoma.Investigative ophthalmology & visual science · 2025
    Article
  3. Article
  4. Article
  5. Cancer pharmacoinformatics: Databases and analytical tools.Functional & integrative genomics · 2024
    Review
  6. Article
  7. Group-specific cellular metabolism in Medulloblastoma.Journal of translational medicine · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Transcriptome-wideCancer prevention research (Philadelphia, Pa.) · 2021
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

4 authors.

Pora KimDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Feixiong ChengDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Junfei ZhaoDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Zhongming ZhaoDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37203, USA Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN 37212, USA zhongming.zhao@vanderbilt.edu.

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8M
TISSUE CoreP50CA098131 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PARK, BEN HO, PIETENPOL, JENNIFER A · 2003 to 2024
$48.7M
Understanding and Controlling p120 Dysfunction in CRCP50CA095103 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COFFEY, ROBERT J. · 2002 to 2017
$33.6M
Mapping the Genetic Architecture of Complex Disease via RNA-seq and GWAS DataR01LM011177 · NLM · VANDERBILT UNIVERSITY · PI WANG, LILY, ZHAO, ZHONGMING · 2012 to 2014
$1.0M
NCI NIH HHS P30CA068485NCI NIH HHS P50CA095103NCI NIH HHS P50CA098131NLM NIH HHS R01LM011177
6 · The paper itself

Abstract

Accumulating evidence has demonstrated that rewiring of metabolism in cells is an important hallmark of cancer. The percentage of patients killed by metabolic disorder has been estimated to be 30% of the advanced-stage cancer patients. Thus, a systematic annotation of cancer cell metabolism genes is imperative. Here, we present ccmGDB (Cancer Cell Metabolism Gene DataBase), a comprehensive annotation database for cell metabolism genes in cancer, available at http://bioinfo.mc.vanderbilt.edu/ccmGDB. We assembled, curated, and integrated genetic, genomic, transcriptomic, proteomic, biological network and functional information for over 2000 cell metabolism genes in more than 30 cancer types. In total, we integrated over 260 000 somatic alterations including non-synonymous mutations, copy number variants and structural variants. We also integrated RNA-Seq data in various primary tumors, gene expression microarray data in over 1000 cancer cell lines and protein expression data. Furthermore, we constructed cancer or tissue type-specific, gene co-expression based protein interaction networks and drug-target interaction networks. Using these systematic annotations, the ccmGDB portal site provides 6 categories: gene summary, phenotypic information, somatic mutations, gene and protein expression, gene co-expression network and drug pharmacological information with a user-friendly interface for browsing and searching. ccmGDB is developed and maintained as a useful resource for the cancer research community.

Indexed as

Databases, GeneticAntineoplastic AgentsGene ExpressionGene Regulatory NetworksGenes, NeoplasmGenomicsHumansMetabolismMolecular Sequence AnnotationMutationNeoplasm ProteinsNeoplasmsProteomicsAntineoplastic AgentsNeoplasm Proteins

Identifiers

PMID26519468
PMCPMC4702820

What OpenQuestion holds

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LicenceCC BY
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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.