Evidence map›Paper›PMID 41614789›Full record

ArticleCurrent issues in molecular biology2025

Integrative Bioinformatics and Experimental Validation Establish CCNB1 as a Potential Biomarker for Diagnosis and Prognosis in Colorectal Cancer.

Yao Zou, Quan Zou, Zhen Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current issues in molecular biology, 2025. 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

3 authors.

Yao ZouYangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324000, China.
Quan ZouYangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324000, China.ORCID 0000-0001-6406-1142
Zhen LiSchool of Artificial Intelligence, Shenzhen University of Information Technology, Shenzhen 518172, China.

Funding

China Postdoctoral Science Foundation 2025M771595Municipal Government of Quzhou 2025K005National Natural Science Foundation of China 62402344the Doctoral Initiation Projects of Shenzhen Institute of Information Technology SZIIT2025KJ058
6 · The paper itself

Abstract

Colorectal cancer (CRC) is a prevalent and lethal malignancy worldwide. Despite extensive research, core genes for diagnosis and prognosis in CRC remain to be fully elucidated. This study aims to identify novel gene biomarkers for CRC diagnosis and prognosis based on the GEO and TCGA datasets. Integration of TCGA and GEO datasets revealed 197 common differentially expressed genes (DEGs) between CRC tumor and normal samples. Functional enrichment analysis implicated these DEGs in biological processes and signaling pathways critical to CRC progression, including cell cycle regulation and nuclear division. Protein-protein interaction (PPI) network analysis identified 17 hub genes from DEGs, including

Indexed as

biomarkercolorectal cancerdiagnosisprognosissurvival

Identifiers

PMID41614789
PMCPMC12731441

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.