Evidence map›Paper›PMID 41968112›Full record

ArticleDatabase : the journal of biological databases and curation2026

VarStack2-an interactive web tool for somatic variant interpretation in cancer.

Nitin Sreekumar, Benjamin J Ahn, Shulan Tian, Alper Uzun, Ece D Gamsiz Uzun

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Nitin SreekumarDepartment of Pathology and Laboratory Medicine, The Warren Alpert Medical School of Brown University, 593 Eddy Street, Providence, RI 02903, United States.
Benjamin J AhnThe Warren Alpert Medical School of Brown University, 222 Richmond Street, Providence, RI 02912, United States.
Shulan TianDivision of Computational Biology, Mayo Clinic, Department of Quantitative Health Sciences, 200 First St. SW, Rochester, MN 55905, United States.
Alper UzunDepartment of Pathology and Laboratory Medicine, The Warren Alpert Medical School of Brown University, 593 Eddy Street, Providence, RI 02903, United States.ORCID 0000-0001-6489-8591
Ece D Gamsiz UzunDepartment of Pathology and Laboratory Medicine, The Warren Alpert Medical School of Brown University, 593 Eddy Street, Providence, RI 02903, United States.ORCID 0000-0003-4068-7153

Funding

Brown University Computing and Information Services
6 · The paper itself

Abstract

The rapid progress in tumour genome sequencing has created a need for bioinformatics tools to interpret the clinical significance of detected variants. VarStack² integrates information from several publicly available resources, including the Catalogue of Somatic Mutations in Cancer (COSMIC), ClinVar, cBioPortal, UCSC Genome Browser, and ClinicalTrials.gov, CIViC and presents it through a user-friendly interface. VarStack2 simplifies the process of retrieving data, saving users significant time compared to manually navigating each database individually. Users can input a variant by specifying a gene symbol, amino acid change, and coding sequence change, with the option to search tumour-specific studies in cBioPortal alongside their primary query. Results are organized into separate sections and can be exported in CSV format for further analysis. Additionally, VarStack2 offers a smart search feature that suggests variants for the gene of interest based on its database search results. These features make VarStack2 a useful tool for scientists and clinicians by enhancing the variant interpretation process and integrating somatic variant information into workflows. VarStack² is freely available at http://varstack.brown.edu/.

Indexed as

Computational BiologyDatabases, GeneticGenetic VariationInternetMutationNeoplasmsSoftwareUser-Computer InterfaceHumans

Identifiers

PMID41968112
PMCPMC13070670

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.