Evidence map›Paper›PMID 42352290›Full record

ArticleBiomolecules2026

GCAS: An Integrated R Package and Shiny App for Comprehensive Cancer Data Analysis.

Jin Wang, Meidan Wei, Jiaxin Zhang, Xiangrong Song, Yaoyu Hu, Lexin Qin, Tingting Liang, Xinyu Zhu, Jianxiang Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomolecules, 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

9 authors.

Jin WangSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China.ORCID 0000-0001-5178-7606
Meidan WeiSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China.
Jiaxin ZhangSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China.
Xiangrong SongSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China.
Yaoyu HuSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China.
Lexin QinSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China.
Tingting LiangSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China.
Xinyu ZhuSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China.ORCID 0009-0001-1532-2710
Jianxiang LiSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China.ORCID 0000-0001-6674-7703

Funding

Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology NANational Natural Science Foundation of China 82304184National Natural Science Foundation of China 82373613Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) NA
6 · The paper itself

Abstract

Cancer research is pivotal for understanding cancer biology, discovering new therapeutic targets, and advancing precision medicine. However, it faces challenges such as data complexity, dispersed analytical tools, and the lack of a unified platform. To address these issues, we developed the GEO Cancer Analysis Suite (GCAS), an R package and visualization interface via shinyApp. GCAS includes four main modules: differential gene expression analysis, correlation studies, pan-cancer analysis, and immune infiltration and drug sensitivity analysis. These modules facilitate the identification of potential cancer biomarkers, elucidation of gene regulatory networks, comprehensive multi-cancer analysis, and assessment of gene expression in relation to immune cell infiltration and drug sensitivity. Using GCAS,

Indexed as

NeoplasmsSoftwareBiomarkers, TumorData AnalyticsGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansBiomarkers, Tumoranticancer drug sensitivitybioinformatics toolcancer biomarker identificationGEO database analysisimmune cell infiltration

Identifiers

PMID42352290
PMCPMC13296616

What OpenQuestion holds

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Registered trials

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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.