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Cellular senescence-related genes: predicting prognosis in hepatocellular carcinoma

Recent studies have shown that the high incidence and low cure rate of hepatocellular carcinoma (HCC) have not improved significantly. Surgery and liver transplantation are the mainstays of prolonging the survival of HCC patients. However, the surgical resection rate of HCC patients is very low, and...

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Autores principales: Yuan, Weiwei, Xu, Yuanmin, Wu, Zhiheng, Huang, Yang, Meng, Lei, Dai, Shiping, Ying, Songcheng, Chen, Zhangming, Xu, Aman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585749/
https://www.ncbi.nlm.nih.gov/pubmed/37853322
http://dx.doi.org/10.1186/s12885-023-11288-1
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author Yuan, Weiwei
Xu, Yuanmin
Wu, Zhiheng
Huang, Yang
Meng, Lei
Dai, Shiping
Ying, Songcheng
Chen, Zhangming
Xu, Aman
author_facet Yuan, Weiwei
Xu, Yuanmin
Wu, Zhiheng
Huang, Yang
Meng, Lei
Dai, Shiping
Ying, Songcheng
Chen, Zhangming
Xu, Aman
author_sort Yuan, Weiwei
collection PubMed
description Recent studies have shown that the high incidence and low cure rate of hepatocellular carcinoma (HCC) have not improved significantly. Surgery and liver transplantation are the mainstays of prolonging the survival of HCC patients. However, the surgical resection rate of HCC patients is very low, and even after radical surgical resection, the recurrence rate at 5 years postoperatively remains high and the prognosis is very poor, so more treatment options are urgently needed. Increasing evidence suggests that cellular senescence is not only related to cancer development but may also be one of its primary driving factors. We aimed to establish a prognostic signature of senescence-associated genes to predict the prognosis and therapeutic response of HCC patients. The aim of this study was to develop a risk model associated with cellular senescence and to search for potential strategies to treat HCC. We divided HCC patients into two clusters and identified differentially expressed genes (DEGs) between clusters. In this study, low-risk patients had a better prognosis, higher levels of immune cell infiltration, and better efficacy to fluorouracil, Paclitaxel and Cytarabine chemotherapy compared to high-risk patients. To further identify potential biomarkers for HCC, we further validated the expression levels of the four signature genes in HCC and neighbouring normal tissues by in vitro experiments. In conclusion, we identified and constructed a relevant prognostic signature, which performed well in predicting the survival and treatment response of HCC patients. This helps to differentiate between low-score and high-risk HCC, and the results may contribute to precise treatment protocols in clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11288-1.
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spelling pubmed-105857492023-10-20 Cellular senescence-related genes: predicting prognosis in hepatocellular carcinoma Yuan, Weiwei Xu, Yuanmin Wu, Zhiheng Huang, Yang Meng, Lei Dai, Shiping Ying, Songcheng Chen, Zhangming Xu, Aman BMC Cancer Research Recent studies have shown that the high incidence and low cure rate of hepatocellular carcinoma (HCC) have not improved significantly. Surgery and liver transplantation are the mainstays of prolonging the survival of HCC patients. However, the surgical resection rate of HCC patients is very low, and even after radical surgical resection, the recurrence rate at 5 years postoperatively remains high and the prognosis is very poor, so more treatment options are urgently needed. Increasing evidence suggests that cellular senescence is not only related to cancer development but may also be one of its primary driving factors. We aimed to establish a prognostic signature of senescence-associated genes to predict the prognosis and therapeutic response of HCC patients. The aim of this study was to develop a risk model associated with cellular senescence and to search for potential strategies to treat HCC. We divided HCC patients into two clusters and identified differentially expressed genes (DEGs) between clusters. In this study, low-risk patients had a better prognosis, higher levels of immune cell infiltration, and better efficacy to fluorouracil, Paclitaxel and Cytarabine chemotherapy compared to high-risk patients. To further identify potential biomarkers for HCC, we further validated the expression levels of the four signature genes in HCC and neighbouring normal tissues by in vitro experiments. In conclusion, we identified and constructed a relevant prognostic signature, which performed well in predicting the survival and treatment response of HCC patients. This helps to differentiate between low-score and high-risk HCC, and the results may contribute to precise treatment protocols in clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11288-1. BioMed Central 2023-10-18 /pmc/articles/PMC10585749/ /pubmed/37853322 http://dx.doi.org/10.1186/s12885-023-11288-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yuan, Weiwei
Xu, Yuanmin
Wu, Zhiheng
Huang, Yang
Meng, Lei
Dai, Shiping
Ying, Songcheng
Chen, Zhangming
Xu, Aman
Cellular senescence-related genes: predicting prognosis in hepatocellular carcinoma
title Cellular senescence-related genes: predicting prognosis in hepatocellular carcinoma
title_full Cellular senescence-related genes: predicting prognosis in hepatocellular carcinoma
title_fullStr Cellular senescence-related genes: predicting prognosis in hepatocellular carcinoma
title_full_unstemmed Cellular senescence-related genes: predicting prognosis in hepatocellular carcinoma
title_short Cellular senescence-related genes: predicting prognosis in hepatocellular carcinoma
title_sort cellular senescence-related genes: predicting prognosis in hepatocellular carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585749/
https://www.ncbi.nlm.nih.gov/pubmed/37853322
http://dx.doi.org/10.1186/s12885-023-11288-1
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