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author:

Luo, Shangyi (Luo, Shangyi.) [1] | Liu, Li (Liu, Li.) [2] | Sun, Yang (Sun, Yang.) [3] | Shi, Jian (Shi, Jian.) [4] | Zhang, Yajing (Zhang, Yajing.) [5]

Abstract:

Introduction Intra-tumoral heterogeneity is a prominent characteristic of hepatocellular carcinoma (HCC). However, it remains unexplored whether intra-tumoral transcriptomic differences can capture crucial information regarding HCC evolution and be utilized to derive a predictive signature for patient's clinical trajectories.Methods We quantified transcriptomic heterogeneity using four multiregional HCC cohorts comprising 172 samples from 37 patients, and validated transcriptomic heterogeneity and spatial dynamics using multiregional single-cell transcriptomic profiling of 110,817 cells from 34 liver specimens. The HCC evolutionary signature (HCCEvoSig) was developed and assessed across six cross-platform HCC cohorts.Results Genes exhibiting high intra- and inter-tumor expression variation were significantly enriched in a gene set associated with HCC prognosis, from which we developed and validated a reproducible and robust transcriptomic signature, HCCEvoSig. Multiregional single-cell data confirmed the high intra- and inter-tumoral heterogeneity of HCCEvoSig genes across different cell types, and importantly, demonstrated that the dysregulation of HCCEvoSig genes exhibited a geospatially gradual transition from the non-tumor region to the tumor border and tumor core, as well as from non-malignant to malignant epithelial cells. HCCEvoSig showed significant positive associations with adverse features of HCC, and a high HCCEvoSig risk score predicted increased risks of disease progression and mortality, independent of established clinicopathological indices. Furthermore, HCCEvoSig outperformed 15 published signatures in discriminative ability and prognostic accuracy, particularly regarding 1-year survival rates. Notably, HCCEvoSig demonstrated predictive utility for responses to immunotherapy and trans-arterial chemoembolization. Additionally, we established a well-calibrated predictive nomogram that integrates HCCEvoSig and TNM stage to generate an individualized numerical probability of mortality.Conclusion Our study reveals that regional transcriptional heterogeneity within tumors is substantial enough to capture survival signals, and the constructed and validated HCCEvoSig provides reliable prognostic information for HCC patients.

Keyword:

expression dynamics hepatocellular carcinoma multi-region sequencing prognostication tumor evolution

Community:

  • [ 1 ] [Luo, Shangyi]Fuzhou Univ, Interdisciplinary Inst Med Engn, Fuzhou, Fujian, Peoples R China
  • [ 2 ] [Liu, Li]Fuzhou Univ, Interdisciplinary Inst Med Engn, Fuzhou, Fujian, Peoples R China
  • [ 3 ] [Zhang, Yajing]Fuzhou Univ, Interdisciplinary Inst Med Engn, Fuzhou, Fujian, Peoples R China
  • [ 4 ] [Sun, Yang]Fujian Med Univ, Fujian Canc Hosp, Clin Oncol Sch, Fuzhou, Fujian, Peoples R China
  • [ 5 ] [Shi, Jian]Chongqing Med Univ, Sch Basic Med Sci, Chongqing, Peoples R China
  • [ 6 ] [Zhang, Yajing]Harbin Med Univ, NHC & CAMS Key Lab Mol Probe & Targeted Theranost, Harbin, Heilongjiang, Peoples R China
  • [ 7 ] [Zhang, Yajing]Harbin Med Univ, Heilongjiang Prov Key Lab Child Dev & Genet Res, Harbin, Heilongjiang, Peoples R China

Reprint 's Address:

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    [Zhang, Yajing]Fuzhou Univ, Interdisciplinary Inst Med Engn, Fuzhou, Fujian, Peoples R China;;[Shi, Jian]Chongqing Med Univ, Sch Basic Med Sci, Chongqing, Peoples R China;;[Zhang, Yajing]Harbin Med Univ, NHC & CAMS Key Lab Mol Probe & Targeted Theranost, Harbin, Heilongjiang, Peoples R China;;[Zhang, Yajing]Harbin Med Univ, Heilongjiang Prov Key Lab Child Dev & Genet Res, Harbin, Heilongjiang, Peoples R China

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Source :

FRONTIERS IN BIOINFORMATICS

Year: 2025

Volume: 5

2 . 8 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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