Evidence map›Paper›PMID 41585903›Full record

ArticleFrontiers in pharmacology2025

Exploratory research on therapeutic agents combined with early diagnostic biomarkers for colorectal cancer.

Qiming Liao, Yulong Xue, Yajiang Yu, Mengzhe Liu, Zeyuan Yu, Xiaoxia Cheng, Lei Zhang, Xinying Ji

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Qiming Liao *Department of Medical Informatics and Computer, Zhengzhou Health College, Zhengzhou, Henan, China.
Yulong Xue *School of Basic Medical Sciences, Henan University, Kaifeng, Henan, China.
Yajiang YuSchool of Basic Medical Sciences, Henan University, Kaifeng, Henan, China.
Mengzhe LiuSchool of Basic Medical Sciences, Henan University, Kaifeng, Henan, China.
Zeyuan YuSchool of Basic Medical Sciences, Henan University, Kaifeng, Henan, China.
Xiaoxia ChengSchool of Basic Medical Sciences, Henan University, Kaifeng, Henan, China.
Lei ZhangSchool of Basic Medical Sciences, Henan University, Kaifeng, Henan, China.
Xinying JiDepartment of Medical Informatics and Computer, Zhengzhou Health College, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide. Although diagnostic and therapeutic strategies have advanced, the molecular mechanisms driving CRC pathogenesis are not fully understood, highlighting the need for novel biomarkers and therapeutic agents. Methods: Integrated bioinformatics analyses of transcriptomic datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were performed to identify survival-associated differentially expressed genes (DEGs) in CRC (|log2FC| > 1.5, p < 0.05). These key DEGs were then used to query the L1000FWD, DGIdb, and CMap platforms to predict candidate small-molecule drugs. The top candidate was evaluated by molecular docking, and its anti-tumor effects were validated by MTT cell viability assays in CRC cell lines. Results: We identified 15 survival-associated DEGs-MELK, NFE2L3, MCM2, MAD2L1, AUNIP, CXCL3, GLDN, GREM2, ALDH1A1, CILP, FABP4, AOC3, CNN1, ANGPTL1, and DES-as potential early diagnostic biomarkers for CRC. Drug-repositioning analyses convergently highlighted SB-225002 as a promising therapeutic agent. Molecular docking showed high binding affinity of SB-225002 to multiple key targets. MTT assays demonstrated that SB-225002 exerted dose-dependent inhibitory effects on the proliferation of CRC cell lines (SW-480, DLD-1, and MC38), with IC50 values of 2.307 μM, 0.9456 μM, and 3.449 μM, respectively. Discussion: This study systematically delineates a novel panel of early-detection biomarkers for CRC and identifies SB-225002 as a repurposed candidate therapeutic agent. The integrative strategy combining multi-cohort transcriptomic analysis, drug-repositioning platforms, molecular docking, and experimental validation offers a feasible framework for discovering clinically actionable biomarkers and small-molecule therapies for CRC.

Indexed as

biomarkerscolorectal cancerdifferentially expressed genesdrug screeningmolecular docking

Identifiers

PMID41585903
PMCPMC12824011

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.