Proteomics of adjacent-to-tumor samples uncovers clinically relevant biological events in hepatocellular carcinoma

Hongwen Zhu, Youpei Lin, Dayun Lu, Shisheng Wang, Yuejia Liu, Liangqing Dong, Qian Meng, Jing Gao, Yuqiu Wang, Nixue Song, Yuying Suo, Li Ding, Pei Wang, Bing Zhang, Daming Gao, Jia Fan, Qiang Gao, Hu Zhou

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Normal adjacent tissues (NATs) of hepatocellular carcinoma (HCC) differ from healthy liver tissues and their heterogeneity may contain biological information associated with disease occurrence and clinical outcome that has yet to be fully evaluated at the proteomic level. This study provides a detailed description of the heterogeneity of NATs and the differences between NATs and healthy livers and revealed that molecular features of tumor subgroups in HCC were partially reflected in their respective NATs. Proteomic data classified HCC NATs into two subtypes (Subtypes 1 and 2), and Subtype 2 was associated with poor prognosis and high-risk recurrence. The pathway and immune features of these two subtypes were characterized. Proteomic differences between the two NAT subtypes and healthy liver tissues were further investigated using data-independent acquisition mass spectrometry, revealing the early molecular alterations associated with the progression from healthy livers to NATs. This study provides a high-quality resource for HCC researchers and clinicians and may significantly expand the knowledge of tumor NATs to eventually benefit clinical practice.

Original languageEnglish
Article numbernwad167
JournalNational Science Review
Volume10
Issue number8
DOIs
StatePublished - Aug 1 2023

Keywords

  • hepatocellular carcinoma
  • heterogeneity
  • normal tissue adjacent to tumor
  • proteomics

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