New mechanisms and biomarkers of lymph node metastasis in cervical cancer: reflections from plasma proteomics
Year: 2023
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: Lymph node metastasis (LNM) and lymphatic vasculature space infiltration (LVSI) in cervical cancer patients indicate a poor prognosis, but satisfactory methods for diagnosing these phenotypes are lacking. This study aimed to find new effective plasma biomarkers of LNM and LVSI as well as possible mechanisms underlying LNM and LVSI through data-independent acquisition (DIA) proteome sequencing. METHODS: A total of 20 cervical cancer plasma samples, including 7 LNM-/LVSI-(NC), 4 LNM-/LVSI + (LVSI) and 9 LNM + /LVSI + (LNM) samples from a cohort, were subjected to DIA to identify differentially expressed proteins (DEPs) for LVSI and LNM. Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed for DEP functional annotation. Protein-protein interaction (PPI) and weighted gene coexpression network analysis (WGCNA) were used to detect new effective plasma biomarkers and possible mechanisms. RESULTS: A total of 79 DEPs were identified in the cohort. GO and KEGG analyses showed that DEPs were mainly enriched in the complement and coagulation pathway, lipid and atherosclerosis pathway, HIF-1 signal transduction pathway and phagosome and autophagy. WGCNA showed that the enrichment of the green module differed greatly between groups. Six interesting core DEPs (SPARC, HPX, VCAM1, TFRC, ERN1 and APMAP) were confirmed to be potential plasma diagnostic markers for LVSI and LNM in cervical cancer patients. CONCLUSION: Proteomic signatures developed in this study reflected the potential plasma diagnostic markers and new possible pathogenesis mechanisms in the LVSI and LNM of cervical cancer.
Source: Clinical Proteomics
Authors: Sai Han, Xiaoli Liu, Shuang Ju, Wendi Mu, Gulijinaiti Abulikemu, Qianwei Zhen, Jiaqi Yang, Jingjing Zhang, Yi Li, Hongli Liu, Qian Chen, Baoxia Cui, Shuxia Wu, Youzhong Zhang
Institutions: Shandong University, Qilu Hospital of Shandong University
Language: English
Subfield: Obstetrics and Gynecology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,490
Awards: G2052048099, G2370458976, G6096458308
OpenAlex ID: W4386573319
