Evidence map›Paper›PMID 38105682›Full record

ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2023

Construction of a prediction model for postoperative prognosis in patients with resectable cholangiocarcinoma based on silence information regulator 2 expression.

Wei Wang, Wenbin Ji, Zhenyu Lyu, Wanliang Sun, Yu Shao, Jing Liu, Yan Yang

Open access · diamondAbstract read
In one paragraph

Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2023. 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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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Wei WangDepartment of Medical Oncology, the First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, Anhui Province, China. 18255249512@163.com.
Wenbin JiDepartment of Medical Oncology, the First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, Anhui Province, China.
Zhenyu LyuDepartment of Medical Oncology, the First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, Anhui Province, China.
Wanliang SunDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, Anhui Province, China.
Yu ShaoNational Drug Clinical Trial Center, the First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, Anhui Province, China.
Jing LiuDepartment of Medical Oncology, the First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, Anhui Province, China.
Yan YangDepartment of Medical Oncology, the First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, Anhui Province, China. qiannianhupo@163.com.
Bengbu Medical College · CNFirst Affiliated Hospital of Bengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo develop a prediction model for postoperative prognosis in patients with cholangiocarcinoma (CCA) based on the expression of silence information regulator 2 (SIRT2).

methodsThe differential expression of SIRT2 between CCA and normal tissues was analyzed using TCGA and GEO databases. Gene set enrichment analysis (GSEA) was used to explore potential mechanisms of SIRT2 in CCA. The expression of SIRT2 protein in CCA tissues and normal tissues (including 44 pairs of specimens) was also detected by immunohistochemistry (IHC) in 89 resectable CCA patients who underwent surgical treatment in the First Affiliated Hospital of Bengbu Medical College between January 2016 and December 2021. The relationship between SIRT2 expression and clinicopathological characteristics and prognosis of CCA patients was analyzed. A survival prediction model for patients with resectable CCA was constructed with COX regression results, the calibration curve and the time-dependent receiver operating characteristic curve (ROC) were used to evaluate the performance of the constructed model, and the predictive power between this model and the American Joint Committee on Cancer (AJCC)/TNM staging system (8th edition) was compared.

results

conclusionsSIRT2 is highly expressed in CCA tissues, which is associated with poor prognosis in patients with resectable CCA. The nomogram developed based on SIRT2 may have better predictive power than the AJCC/TNM staging system (8th edition) in prediction of survival of postoperative CCA patients.

Indexed as

Bile Duct NeoplasmsCholangiocarcinomaBile Ducts, IntrahepaticHumansPrognosisSirtuin 2SIRT2 protein, humanSirtuin 2Bioinformatics analysisCholangiocarcinomaClinical significancePrognostic modelSilence information regulator 2

Identifiers

PMID38105682
PMCPMC10945490
OpenAlexW4389410303

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LicenceCC BY-NC-ND
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