Evidence map›Paper›PMID 39048806›Full record

ArticleDiscover oncology2024

The potential of cancer stem cells for personalized risk assessment and therapeutic intervention in individuals with intrahepatic cholangiocarcinoma.

Jian Zhang, Tao Cui, Jiaobang Xu, Peng Wang, Chongqing Lv, Guozheng Pan

Abstract read
In one paragraph

Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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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

6 authors.

Jian Zhang *Hepatobiliary Surgery, Shengli Oilfield Central Hospital, Dongying, 257093, China.
Tao Cui *Hepatobiliary Surgery, Shengli Oilfield Central Hospital, Dongying, 257093, China.
Jiaobang XuHepatobiliary Surgery, Shengli Oilfield Central Hospital, Dongying, 257093, China.
Peng WangHepatobiliary Surgery, Shengli Oilfield Central Hospital, Dongying, 257093, China.
Chongqing LvHepatobiliary Surgery, Shengli Oilfield Central Hospital, Dongying, 257093, China.
Guozheng PanHepatobiliary Surgery, Shengli Oilfield Central Hospital, Dongying, 257093, China. zxyypgz@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccumulating evidence suggests that intrahepatic cholangiocarcinoma (ICC) is a stem cell-based disease, but information on the biology of cancer stem cells (CSC) in ICC is very limited.

methodsICC RNA-seq cohorts from three different public databases were integrated and the protein-coding genes were divided into different modules using "WGCNA" to screen the most relevant modules with CSC scores. Least Absolute Shrinkage and Selection Operator (LASSO) regression were introduced to construct prognostic classification models. In addition, the extent of immune cell infiltration in patients in different risk groups was assessed based on the ESTIMATE, CIBERSORT, MCP-Counter, and single sample gene set enrichment analysis (ssGSEA) algorithms. Finally, the correlation between different risk scores and common drugs was analyzed by pRRophetic package and Spearman method.

resultsIn the present study, we found that a high CSC score was associated with a poorer prognosis in patients with ICC. The yellow module obtained by WGCNA was significantly positively correlated with the CSCs score, in which 8 genes were served to build a prognostic classification model, and the obtained risk score was negatively correlated with CSCs score and prognosis. The low-risk score was more suitable for immunotherapy, and the high-risk score was more suitable for treatment with 11 antitumor drugs.

conclusionThis study revealed the regulatory role of CSC-mediated EMT, angiogenesis, and immunomodulatory biological processes in ICC, and applied a prognostic classification model to highlight the great potential of CSC for personalized risk assessment, chemotherapy, and immunotherapy intervention in ICC individuals.

Indexed as

Cancer stem cellsChemotherapy drugsImmunotherapyIntrahepatic cholangiocarcinomaPrognosis

Identifiers

PMID39048806
PMCPMC11269542

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