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Cancer Medicine
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Cancer Medicine
Article . 2021
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Cancer Medicine
Article . 2020
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Sulfiredoxin‐1 is a promising novel prognostic biomarker for hepatocellular carcinoma

Authors: Qian‐Wen Rao; Shi‐Long Zhang; Meng‐Zhou Guo; Fei‐Fei Yuan; Jia‐Lei Sun; Feng Qi; Li‐Shun Wang; +2 Authors

Sulfiredoxin‐1 is a promising novel prognostic biomarker for hepatocellular carcinoma

Abstract

AbstractIdentifying novel prognostic biomarkers for hepatocellular carcinoma (HCC) and then, develop an effective individualized treatment strategy remain extremely warranted. The prognostic role of sulfiredoxin‐1(SRXN1), an antioxidant enzyme, remains unknown in HCC. This study aimed to explore the prognostic implications of SRXN1 in HCC patients after partial hepatectomy. The expression of SRXN1 in HCC and normal tissue were analyzed using the patients from the public databases and Zhongshan Hospital. The Cox regression, Kaplan‐Meier survival analysis, and time‐dependent receiver operating characteristic curves were performed to identify the predictive role of SRXN1 expression on HCC patients. A prognostic nomogram based on SRXN1 expression was constructed and validated to further confirm the predictive power of SRXN1 as a prognostic biomarker. Finally, functional enrichment analysis and protein‐protein interaction network analysis of SRXN1 and its associated genes were conducted. The results showed that SRXN1 was upregulated in HCC samples compared with the normal liver tissues. Patients with SRXN1 upregulation had shorter survival time. SRXN1 overexpression was significantly correlated with advanced clinicopathological parameters. The prognostic nomogram based on SRXN1 expression was proved to be more accurate than routine staging systems for the prediction of overall survival. Protein‐protein interaction network analysis demonstrated the first neighbor genes of SRXN1 mainly participated in response to oxidative stress. In brief, SRXN1 could be a prognostic biomarker for the management of HCC.

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Keywords

Male, Carcinoma, Hepatocellular, Time Factors, Hepatocellular carcinoma, survival analysis, Decision Support Techniques, nomogram, Predictive Value of Tests, Databases, Genetic, Biomarkers, Tumor, Hepatectomy, Humans, Gene Regulatory Networks, Oxidoreductases Acting on Sulfur Group Donors, Protein Interaction Maps, RC254-282, Liver Neoplasms, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Clinical Cancer Research, Middle Aged, Nomograms, Treatment Outcome, Gene Expression Regulation, Female, prognosis, Sulfiredoxin‐1, Signal Transduction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
Green
gold
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Cancer Research