Evidence map›Paper›PMID 30053270›Full record

ArticleNucleic acids research2018

BioMuta and BioXpress: mutation and expression knowledgebases for cancer biomarker discovery.

Hayley M Dingerdissen, John Torcivia-Rodriguez, Yu Hu, Ting-Chia Chang, Raja Mazumder, Robel Kahsay

Abstract readDataset
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

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

  1. Bioscience reports · 2018
    Pooled it
  2. Toll like receptor 4 (TLR4) in neuroinflammation: From acute hemorrhagic stroke to chronic neurodegeneration.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  3. Predictive Analysis and Validation of Critical Missense SNPs of theInternational journal of molecular sciences · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. The Pivotal Role of LACTB in the Process of Cancer Development.International journal of molecular sciences · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The RNA world: from experimental laboratory to "in silico" approach. Part 1: User friendly RNA expression databases portals.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2024
    Review
  15. Article
  16. Article
  17. Building a large gene expression-cancer knowledge base with limited human annotations.Database : the journal of biological databases and curation · 2023
    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

6 authors.

Hayley M DingerdissenThe Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, USA.
John Torcivia-RodriguezThe Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, USA.
Yu HuThe Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, USA.
Ting-Chia ChangThe Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, USA.
Raja MazumderThe Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, USA.
Robel KahsayThe Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, USA.

Funding

Integration of comprehensive cancer mutation and expression-associated data for biomarker evaluation and discoveryU01CA215010 · NCI · GEORGE WASHINGTON UNIVERSITY · PI CRICHTON, DANIEL, MAZUMDER, RAJA · 2017 to 2019
$1.3M
NCI NIH HHS U01 CA215010
6 · The paper itself

Abstract

Single-nucleotide variation and gene expression of disease samples represent important resources for biomarker discovery. Many databases have been built to host and make available such data to the community, but these databases are frequently limited in scope and/or content. BioMuta, a database of cancer-associated single-nucleotide variations, and BioXpress, a database of cancer-associated differentially expressed genes and microRNAs, differ from other disease-associated variation and expression databases primarily through the aggregation of data across many studies into a single source with a unified representation and annotation of functional attributes. Early versions of these resources were initiated by pilot funding for specific research applications, but newly awarded funds have enabled hardening of these databases to production-level quality and will allow for sustained development of these resources for the next few years. Because both resources were developed using a similar methodology of integration, curation, unification, and annotation, we present BioMuta and BioXpress as allied databases that will facilitate a more comprehensive view of gene associations in cancer. BioMuta and BioXpress are hosted on the High-performance Integrated Virtual Environment (HIVE) server at the George Washington University at https://hive.biochemistry.gwu.edu/biomuta and https://hive.biochemistry.gwu.edu/bioxpress, respectively.

Indexed as

Databases, GeneticKnowledge BasesMutationBiomarkers, TumorGene Expression Regulation, NeoplasticHumansMicroRNAsNeoplasmsUser-Computer InterfaceBiomarkers, TumorMicroRNAs

Identifiers

PMID30053270
PMCPMC5753215

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.