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Updated: Jan 17, 2026

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis
Published on: April 12, 2024
Stage-Specific Transcriptome Landscape of Hepatocellular Carcinoma: Insights From Super and Poor Survivors With
Xiao Qian Xu1,2, Hao Wang1,2, Li Chen Shi1,2
1National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Objectives:
Patient prognosis for hepatocellular carcinoma (HCC) varies significantly even when they share the same clinical stage. We aimed to characterize the stage-specific transcriptomic landscape in super survivors with HCC and develop a prognostic gene signature for the prediction of patient survival.
Methods:
Data from The Cancer Genome Atlas (TCGA) among 76 age- and sex-matched super (alive at 5 years) and poor survivors (deceased within 1 year) with HCC were analyzed. Gene set enrichment analysis stratified by tumor stage was conducted, and a key prognostic gene signature was developed. The gene signature was then validated by using the whole TCGA cohort and the independent International Cancer Genome Consortium (ICGC) cohort.
Results:
Stage-specific transcriptomic profiling revealed that stages I and II HCC cases showed positive enrichment in immune response pathways, while stage III tumor exhibited enhanced catabolic activities but reduced glycolysis. Across all tumor stages, cell cycle biological processes were less active in super survivors. A 19-gene signature, incorporating immune-, metabolism-, and cell cycle-related genes, accurately distinguished super survivors from poor survivors with 90.8% accuracy. The gene signature reliably predicted overall survival in both the verification cohort (area under the receiver operating characteristic curve [AUROC] for 1-, 3-, and 5-year survival: 0.82, 0.80, and 0.78) and the independent validation cohort (AUROC for 1- and 3-year survival: 0.80 and 0.83). Consistent AUROC was observed across tumor stages.
Conclusion:
The 19-gene signature, considering the dynamic shift during HCC progression, may accurately predict survival outcomes in HCC patients as a potential tool for personalized prognosis.
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