Evidence map›Paper›PMID 39507979›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2024

[Association Between the Protein Expressions of MutS Homologs and Villin and the Clinicopathological Characteristics in 310 Colon Cancer Patients].

Fangfang Chang, Xiaoshu Hu, Yiyang Wen, Ping Li, Yun Huangfu, Fengjuan Zhang, Jing Tan, Xuexia Cao

Abstract readEnglish Abstract
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 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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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

8 authors.

Fangfang Chang( 451191) Department of Internal Medicine, Henan Medical College, Zhengzhou 451191, China.
Xiaoshu Hu( 451191) Department of Internal Medicine, Henan Medical College, Zhengzhou 451191, China.
Yiyang Wen( 451191) Department of Internal Medicine, Henan Medical College, Zhengzhou 451191, China.
Ping Li( 451191) Department of Internal Medicine, Henan Medical College, Zhengzhou 451191, China.
Yun Huangfu( 451191) Department of Internal Medicine, Henan Medical College, Zhengzhou 451191, China.
Fengjuan Zhang( 451191) Department of Internal Medicine, Henan Medical College, Zhengzhou 451191, China.
Jing Tan( 451191) Department of Internal Medicine, Henan Medical College, Zhengzhou 451191, China.
Xuexia Cao( 451191) Department of Internal Medicine, Henan Medical College, Zhengzhou 451191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine the relationship between the expressions of mismatch repair proteins, MutS homolog 2 (MSH2) and MutS homolog 6 (MSH6), and villin and the pathological features in patients with colon cancer. Methods: A total of 310 cases of colon cancer patients who were treated at our hospital between January 2017 and September 2021 were selected. The diagnosis of colon cancer of all patients was verified by pathological evaluation. Immunohistochemistry was used to determine the protein expressions of MSH2, MSH6, and villin. The correlation between the expressions of MSH2, MSH6, and villin and the clinicopathological parameters in patients with colon cancer was analyzed accordingly. Multivariate logistic regression was used to analyze the correlation between the expressions of MSH2, MSH6, and villin and the clinicopathological parameters of colon cancer. Kaplan-Meier survival curve was used to compare the 2-year survival rates of colon cancer patients with different expression levels of the proteins. Results: Among the 310 patients with colon cancer, the negative expression rates of MSH2, MSH6, and villin proteins in cancer tissues were 8.71% (27/310), 9.35% (29/310), and 46.13% (143/310), respectively. The negative expression rates of the three proteins in tissues adjacent to cancer were 3.23% (10/310), 4.19% (13/310), and 9.68% (30/310), respectively. The negative expression rates of the three proteins in cancer tissues were all higher than those in adjacent tissues ( Conclusion: The expressions of MSH2, MSH6, and villin are closely correlated with the pathological features of colon cancer patients. Evaluating the expression of the three proteins may assist in the clinical diagnosis, treatment, and prognosis evaluation of colon cancer.

Indexed as

Colonic NeoplasmsDNA-Binding ProteinsMicrofilament ProteinsMutS Homolog 2 ProteinAgedFemaleHumansLymphatic MetastasisMaleMiddle AgedPrognosisSurvival RateDNA-Binding ProteinsG-T mismatch-binding proteinMicrofilament ProteinsMSH2 protein, humanMutS Homolog 2 ProteinvillinColon cancerMismatch repair protein MutS homolog 2Mismatch repair protein MutS homolog 6Pathological characteristicsVillin

Identifiers

PMID39507979
PMCPMC11536242

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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.