NLR Risk Score for Predicting Patient Prognosis in Hepatocellular Carcinoma and Identification of Oncogenic Role of NLRP5 in Hepatocellular Carcinoma
- Mingyang Tang 1,2, Shengfu He 3, Bao Meng 1,2, Qingyue Zhang 1,2, Chengcheng Li 1,2, Yating Sun 1,2, Weijie Sun 1,2, Cui Wang 4, Qingxiang Kong 5, Yanyan Liu 1,2, Lifen Hu 1,2, Yufeng Gao 1,2, Qinxiu Xie 1,2, Jiabin Li 1,2, Ting Wu 1,2
- Mingyang Tang 1,2, Shengfu He 3, Bao Meng 1,2
- 1Department of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
- 2Anhui Province Key Laboratory of Infectious Diseases, Anhui Medical University, Hefei, 230022, China.
- 3Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
- 4Department of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
- 5Department of Infectious Diseases, Chaohu Hospital of Anhui Medical University, Hefei, 230022, China.
- 0Department of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study developed a prognostic model using Nod-like receptor (NLR) genes to predict survival in hepatocellular carcinoma (HCC). NLR family pyrin domain containing 5 (NLRP5) was identified as an oncogene promoting HCC via the p53 pathway.
Area Of Science
- Oncology
- Immunology
- Genetics
Background
- Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality.
- The role of Nod-like receptor (NLR) genes in HCC progression and prognosis is not well understood.
- This research investigates the prognostic significance and biological functions of NLR genes in HCC.
Purpose Of The Study
- To classify HCC into molecular subtypes based on NLR gene expression.
- To develop a prognostic model (NLR_score) for HCC patients.
- To identify key NLR genes involved in HCC pathogenesis and their therapeutic potential.
Main Methods
- Nonnegative matrix factorization (NMF) was used to analyze transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) for HCC subtype classification.
- An NLR-based prognostic model (NLR_score) was constructed using Cox regression analyses.
- <i>In vitro</i> and <i>in vivo</i> experiments validated the role of NLR family pyrin domain containing 5 (NLRP5) in HCC progression.
Main Results
- Two distinct HCC molecular subtypes with different survival outcomes were identified.
- The NLR_score demonstrated reliable prognostic predictive power and correlated with chemotherapy sensitivity.
- NLRP5 knockdown inhibited HCC cell proliferation, migration, invasion, and tumor growth, implicating it as an oncogene.
Conclusions
- An NLR-based prognostic model was successfully developed to stratify HCC patients by survival risk.
- NLRP5 acts as a novel oncogene in HCC, promoting tumor progression through the p53 signaling pathway.
- NLRP5 presents a potential therapeutic target for HCC treatment.
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