Evidence map›Paper›PMID 39678043›Full record

ArticleCancer management and research2024

Identification of Candidate Hub Genes and Drug Targets for Cholangiocarcinoma via Juhua (Chrysanthemum Morifolium) Bioactivity and Molecular Docking: A Bioinformatics Approach.

Song Yang, Wan-Liang Sun, Shuo Zhou, Zheng Lu

Abstract read
In one paragraph

Article in Cancer management and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

4 authors.

Song YangThe First Affiliated Hospital of Bengbu Medical College, Bengbu, 233004, People's Republic of China.
Wan-Liang SunThe First Affiliated Hospital of Bengbu Medical College, Bengbu, 233004, People's Republic of China.
Shuo ZhouThe First Affiliated Hospital of Bengbu Medical College, Bengbu, 233004, People's Republic of China.
Zheng LuThe First Affiliated Hospital of Bengbu Medical College, Bengbu, 233004, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cholangiocarcinoma (CHOL) is a malignancy with poor clinical outcomes and limited treatment options. While extensive research has investigated genetic and signaling pathways in CHOL, the molecular mechanisms underlying disease pathogenesis remain incompletely understood. A key hurdle has been the lack of a systematic, multi-omic approach to illuminate causal relationships between genetic variants and CHOL risk. Results: We integrated gene expression, co-expression network, and Mendelian randomization analyses to elucidate molecular drivers of CHOL. Gene set enrichment of differentially expressed genes from CHOL tumor samples identified enrichment in cancer-related biological processes. Weighted gene co-expression network analysis identified modules highly correlated with CHOL, including genes involved in cell cycle regulation, transcription, and proteolysis. Integrating these data with targets of the herbal formula Juhua, which shows anti-CHOL activity, pinpointed four candidate hub genes (CDK5, CDK7, CTSB, MAP2K2). Molecular docking revealed interactions between Juhua constituents and these hub genes. Mendelian randomization analysis of genetic variants implicated CCL2, CD5, CXCL6, CXCL9, HGF, IL10, IL10RA, IL18, IL24, IL2RB, IL6, IL8, SIRT2 and SLAMF1 as causally associated with CHOL. Conclusion: Our multi-omic analysis provides new insight into molecular underpinnings of CHOL and identifies candidate disease drivers, signaling pathways and herbal targets for further validation. This systematic approach established a framework for illuminating causal links between genetics, molecular mechanisms and disease pathogenesis, with potential to accelerate drug and biomarker development for CHOL.

Indexed as

bioinformaticscholangiocarcinomaJuhuaMendelian randomization

Identifiers

PMID39678043
PMCPMC11639890

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.