首页|Affiliated Hospital of Xuzhou Medical University Reports Findings in Liver Cance r (Identification of key molecules in the formation of portal vein tumor thrombu s in hepatocellular carcinoma based on single cell transcriptomics and in vitro ...)
Affiliated Hospital of Xuzhou Medical University Reports Findings in Liver Cance r (Identification of key molecules in the formation of portal vein tumor thrombu s in hepatocellular carcinoma based on single cell transcriptomics and in vitro ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Oncology - Liver Cance r is the subject of a report. According to news reporting originating from Xuzho u, People's Republic of China, by NewsRx correspondents, research stated, "The p resence of portal vein tumor thrombus (PVTT) is a significant indicator of advan ced-stage hepatocellular carcinoma (HCC). Unfortunately, the prediction of PVTT occurrence remains challenging, and there is a lack of comprehensive research ex ploring the underlying mechanisms of PVTT formation and its association with imm une infiltration." Our news editors obtained a quote from the research from the Affiliated Hospital of Xuzhou Medical University, "Our approach involved analyzing single-cell sequ encing data, applying high dimensional weighted gene co-expression network analy sis (hdWGCNA), and identifying key genes associated with PVTT development. Furth ermore, we constructed competing endogenous RNA (ceRNA) networks and employed we ighted gene co-expression network analysis (WGCNA), as well as three machine-lea rning techniques, to identify the upstream regulatory microRNAs (miRNAs) and lon g non-coding RNAs (lncRNAs) of the crucial mRNAs. We employed fuzzy clustering o f time series gene expression data (Mfuzz), gene set variation analysis (GSVA), and cell communication analysis to uncover significant signaling pathways involv ed in the activation of these important mRNAs during PVTT development. In additi on, we conducted immune infiltration analysis, survival typing, and drug sensiti vity analysis using The Cancer Genome Atlas (TCGA) cohort to gain insights into the two patient groups under study. Through the implementation of hdWGCNA, we id entified 110 genes that was closely associated with PVTT. Among these genes, eme rged as a crucial candidate, and we further investigated its significance using COX regression analysis. Furthermore, through machine learning techniques and su rvival analysis, we successfully identified the upstream regulatory miRNA () and lncRNA () that targeted. These findings shed light on the complex regulatory ne twork surrounding in the context of PVTT. Moreover, we conducted CIBERSORT analy sis, which unveiled correlations between and immune infiltration in HCC patients . Specifically, exhibited associations with various immune cell populations, inc luding memory B cells and CD8 T cells. Additionally, we observed implications fo r immune function, particularly in relation to immune checkpoints, within the co ntext of HCC. The regulatory axis involving , and emerges as a crucial determina nt in the development of PVTT in HCC patients, and it holds significant implicat ions for prognosis."
XuzhouPeople's Republic of ChinaAsiaAngiologyCancerCarcinomasCardiovascular Diseases and ConditionsCyborgsEmerging TechnologiesGeneticsHealth and MedicineLiver CancerMachine Le arningOncologyPortal VeinThrombosis
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