Plasma proteome profiling reveals biomarkers of chemotherapy resistance in patients with advanced colorectal cancer

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外文摘要：Colorectal cancer(CRC)is one of the most common cancers.Patients with advanced CRC can only rely on chemotherapy to improve outcomes.However,primary drug resistance frequently occurs and is difficult to pre-dict.Changes in plasma protein composition have shown potential in clinical diagnosis.Thus,it is urgent to identify potential protein biomarkers for pri-mary resistance to chemotherapy for patients with CRC.Automatic sample preparation and high-throughput analysis were used to explore potential plasma protein biomarkers.Drug susceptibility testing of circulating tumor cells(CTCs)has been investigated,and the relationship between their values and protein expressions has been discussed.In addition,the dif-ferential proteins in different chemotherapy outcomes have been analyzed.Finally,the potential biomarkers have been detected via enzyme-linked immunosorbent assay(ELISA).Plasma proteome of 60 CRC patients were profiled.The correlation between plasma protein levels and the results of drug susceptibility testing of CTCs was performed,and 85 proteins showed a significant positive or negative correlation with chemotherapy resistance.Forty-four CRC patients were then divided into three groups according to their chemotherapy outcomes(objective response,stable disease,and progressive disease),and 37 differential proteins were found to be related to chemotherapy resistance.The overlapping proteins were further inves-tigated in an additional group of 79 patients using ELISA.Protein levels of F5 and PROZ significantly increased in the progressive disease group compared to other outcome groups.Our study indicated that F5 and PROZ proteins could represent potential biomarkers of resistance to chemo-therapy in advanced CRC patients.

外文关键词：

biomarkerchemotherapy resistancecolorectal cancerplasma proteome

作者：

Jingxin Yang、Jin Chen、Luobin Zhang、Fangming Zhou、Xiaozhen Cui、Ruijun Tian、Ruilian Xu

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作者单位：

Medical Genetic Center,Affiliated Shenzhen Maternity and Child Healthcare Hospital,Southern Medical University,Shenzhen,China

Clinical Center for Molecular Diagnosis and Therapy,The Second Affiliated Hospital of Fujian Medical University,Quanzhou,China

Department of Chemistry and Research Center for Chemical Biology and Omics Analysis,School of Science,Southern University of Science and Technology,Shenzhen,China

Department of Oncology,Shenzhen People's Hospital(The Second Clinical Medical College,Jinan University

The First Affiliated Hospital,Southern University of Science and Technology),Shenzhen,China

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出版年：

2024

DOI：

10.1002/qub2.34

定量生物学(英文版)

ISSN：

年,卷(期)：2024.12(2)