Background: Hepatocellular carcinoma (HCC) is notorious for its high mortality and incidence. Accumulating evidence confirms that chromatin regulators (CRs) have a significant impact on cancer. Therefore, exploring the mode of action and prognostic value of CRs is imminent for the treatment of hepatocellular carcinoma.Method: Transcriptome and clinical data for this study have been downloaded from TCGA (https://portal.gdc.cancer.gov/) and ICGC (https://dcc.icgc.org/). Univariate analysis was used to screen CRs with prognostic value, and our prognostic risk score signature was developed using least absolute shrinkage along with selection operator (lasso) Cox regression analysis. The CRs-based prognostic model was constructed in the TCGA dataset, and low-risk HCC patients had a better prognosis, which was finally validated in the ICGC dataset. We used the receiver operating characteristic curve to identify the accuracy of the prediction model and establish a line chart to prove the clinical effectiveness of the model. We also discussed the differences in drug sensitivity via CellMiner database, tumor immune microenvironment via ssGSEA algorithm, and clinical characteristics among different risk groups.Results: A prognostic model consisting of seven CRs was constructed and verified in HCC patients. Furthermore, we found that this risk score prognostic signature could independently predict the prognosis of HCC patients. Functional enrichment analysis revealed that CRs are mainly associated with cancer-related signaling pathways and metabolic pathways. In addition, immune cell abundance correlates with risk score levelsConclusion: In brief, we systematically explored the mode of action of CRs in HCC patients and established a reliable prognostic prediction model.
Background: Necroptosis is a type of programmed necrosis that is participating in the pathology of many diseases. However, the potential mechanisms of action and biological functions of necroptosis-related genes (NRGs) in tumor cells are poorly understood.Methods: We explored alterations in NRGs in 1147 colon cancer samples and assessed their expression from three separate public datasets. Based on the expression of 67 NRGs we divided the patients into two subtypes. Differentially expressed genes (DEGs) associated with prognosis were then screened and the samples were divided into two new gene subtypes based on their expression. The NRG_score was constructed to predict overall survival (OS) and its accuracy in predicting the prognosis of colon cancer patients was tested. Therefore, in order to improve the clinical practice function of NRG_score, a highly accurate multi-factor nomogram was produced.Results: We observed that NRGs expression was associated with patient age, gender, grading, prognosis and immune cell infiltration characteristics. We identified 301 necroptosis subtype-related prognostic genes. In addition, we constructed the NRG_score that can accurately predict the prognosis of colon cancer patients.Conclusion: Our established NRG_score was significantly correlated with immune cell infiltration, somatic cell mutation, cancer stem cell (CSC) index and sensitivity to drugs associated with colon cancer. These researches will contribute to our further understanding of NRGs in colon cancer. More importantly, it provides direction for evaluating the prognosis of colon cancer patients and for exploring more useful immunotherapy options.
Purpose:Necrotizing apoptosis, known as a novel programming necrotic cell death, has been proved to be related to cancer progression. The precise functions of necrosis-related genes (NRGs) in the tumor microenvironment (TME) are, nevertheless, unknown. Our aim is to explore the various roles of NRGs in the development of liver cancer.Methods:In our study, the expression profiles and corresponding clinical characteristics of Hepatocellular carcinoma(HCC) samples were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. There were two molecular subtypes identified and NRGs changes were investigated to appear association with clinicopathological features, prognosis and TME cell infiltration. The NRGs score was then created for estimating overall survival (OS), and its prediction power for HCC patients was tested. Finally, a high-precision nomogram is constructed to improve the clinical applicability of NRGs score. Results:We found that low NRGs_score was linked to higher immunological and stromal score and overall survival rate. In addition, NRGs_score chemotherapy drug sensitivity was significantly correlated. Our systematic and comprehensive analysis of NRGs confirmed their prospective function in the microenvironment of the tumor immune matrix and prognosis These findings may help us better understand NRGs in hepatocellular carcinoma, providing clues for assessing prognosis and developing more effective immunotherapy strategies.Conclusion:Our comprehensive analysis of NRGs in HCC demonstrated their potential roles in the tumor-immune-stromal microenvironment, clinicopathological features, and prognosis. These findings improve our understanding of NRGs in HCC and pave a new path for the assessment of prognosis and the development of more effective immunotherapy strategies.
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