Glycolysis-Related Gene Signature Can Predict Survival and Immune Status of Hepatocellular Carcinoma
- 09.03.2022
- Hepatobiliary Tumors
Erschienen in:
- Verfasst von
- Qian Xu
- Dan Miao
- Xian Song
- Zhuoyan Chen
- Liuwei Zeng
- Luying Zhao
- Jun Xu
- Zhuo Lin, MM
- Fujun Yu, MD
- Erschienen in
- Annals of Surgical Oncology | Ausgabe 6/2022
Abstract
Background
Concise and precise prognostic models are urgently needed due to the intricate genetic variations among hepatocellular carcinoma (HCC) cells. Disorder or change in glycolysis metabolism has been considered one of the “hallmarks” of cancer. However, the prognostic value of glycolysis-related genes in HCC remains elusive.
Methods
A multigene prognostic model was constructed by least absolute shrinkage and selection operator Cox regression analysis in the The Cancer Genome Atlas (TCGA) cohort with 365 HCC patients and validated in the International Cancer Genome Consortium (ICGC) cohort with 231 HCC patients. The Kaplan–Meier methodology and time-dependent receiver operating characteristic curve were employed to confirm its predictive capability. A predictive nomogram was established based on the stepwise multivariate regression model. The differential expression of prognostic genes between HCC tissues and normal tissues was verified by quantitative real-time polymerase chain reaction (PCR) and immunohistochemistry in an independent sample cohort with 30 HCC patients.
Results
The glycolysis-related gene signature and the nomogram model exhibited robust validity in predicting prognosis. The risk score was an independent predictor for overall survival (OS). Expression levels of immune checkpoint genes and cell cycle genes were significantly elevated in the high-risk group. The high-risk group presented high levels of immune exclusion. The risk score can distinguish the effect of immunotherapy in the IMvigor210 cohort. The prognostic gene expression showed a significant difference between HCC tissues and adjacent nontumorous tissues in the independent sample cohort.
Conclusion
The currently established glycolysis-related gene signature can accurately predict prognosis and reflect immune status, which may be a therapeutic alternative.
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- Titel
- Glycolysis-Related Gene Signature Can Predict Survival and Immune Status of Hepatocellular Carcinoma
- Verfasst von
-
Qian Xu
Dan Miao
Xian Song
Zhuoyan Chen
Liuwei Zeng
Luying Zhao
Jun Xu
Zhuo Lin, MM
Fujun Yu, MD
- Publikationsdatum
- 09.03.2022
- Verlag
- Springer International Publishing
- Erschienen in
-
Annals of Surgical Oncology / Ausgabe 6/2022
Print ISSN: 1068-9265
Elektronische ISSN: 1534-4681 - DOI
- https://doi.org/10.1245/s10434-022-11502-7
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