Page 77 - TD-3-3
P. 77

Tumor Discovery





                                        ORIGINAL RESEARCH ARTICLE
                                        Effect and mechanism of the PTMAP5–hsa-miR-

                                        22-3p–KIF2C regulatory axis on the occurrence
                                        and development of hepatocellular carcinoma



                                        Qing Deng 1  , Yuanchao Wei 1  , Jiali Meng 1  , and Xiaolong Li *
                                                                                              2
                                        1 Department of Clinical Medicine, Faculty of First Clinical Medical College, Guangxi Medical
                                        University, Nanning, Guangxi, China
                                        2 Department of Cell Biology and Genetics, School of Preclinical Medicine, Key Laboratory of
                                        Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Medical University,
                                        Nanning, Guangxi, China



                                        Abstract

                                        Hepatocellular carcinoma (HCC), a primary liver cancer, is known for its high
                                        malignancy potential. Despite extensive research, the etiology of HCC remains elusive,
                                        with numerous molecular mechanisms yet to be deciphered. This study delves into
                                        the influence and mechanism of the PTMAP5–hsa-miR-22-3p–KIF2C regulatory axis
                                        in HCC pathogenesis. A comparative analysis of gene expression profiles between the
                                        GSE87630 and GSE45267 datasets unveiled a cohort of 346 differentially expressed
                                        genes. Protein–protein interaction networks were established using the STRING
                                        database, and key genes were identified through receiver operating characteristic
            *Corresponding author:      curve analysis and LASSO regression analysis. The expression and prognostic value
            Xiaolong Li                 of these key genes were further evaluated using GEPIA and Kaplan–Meier analysis.
            (xlongli@outlook.com)       Upstream miRNAs were predicted using the MiRTarBase and StarBase databases,
            Citation: Deng Q, Wei Y, Meng J,   facilitating the construction of the PTMAP5–hsa-miR-22-3p–KIF2C regulatory axis.
            Li X. Effect and mechanism of the   Co-expression analysis of KIF2C was performed through UALCAN and StarBase, and
            PTMAP5–hsa-miR-22-3p–KIF2C
            regulatory axis on the occurrence   the regulatory axis was found to play a pivotal role in HCC development through
            and development of hepatocellular   the cell cycle, oocyte meiosis, and FOXO signaling, as revealed by DAVID enrichment
            carcinoma. Tumor Discov.    analysis. Furthermore, the expression and prognostic significance of KIF2C in various
            2024;3(3):2846.
            doi: 10.36922/td.2846       cancer types were assessed using TIMER and GEPIA, while TISIDB analysis revealed
                                        correlations between KIF2C expression and relevant major histocompatibility complex
            Received: January 30, 2024  molecules, immunomodulators, chemokines, receptors, and immune variants in
            Accepted: July 10, 2024     HCC. These findings also extended to HCC molecular subtypes. In conclusion, we
            Published Online: September 24,   constructed a novel PTMAP5–hsa-miR-22-3p–KIF2C regulatory subnetwork, which
            2024                        could provide valuable therapeutic targets and diagnostic markers for HCC.
            Copyright: © 2024 Author(s).
            This is an Open-Access article   Keywords: PTMAP5–hsa-miR-22-3p–KIF2C regulatory axis; Hepatocellular carcinoma;
            distributed under the terms of the
            Creative Commons Attribution   Bioinformatics; Receiver operating characteristic curve analysis; LASSO regression
            License, permitting distribution,   analysis
            and reproduction in any medium,
            provided the original work is
            properly cited.
            Publisher’s Note: AccScience   1. Introduction
            Publishing remains neutral with
            regard to jurisdictional claims in   Globally, liver cancer ranks as the sixth most common cancer and the third leading cause
            published maps and institutional
            affiliations.               of cancer-related deaths, with hepatocellular carcinoma (HCC) being the predominant


            Volume 3 Issue 3 (2024)                         1                                 doi: 10.36922/td.2846
   72   73   74   75   76   77   78   79   80   81   82