Evidence mapPaperPMID 42215741Full record

ArticleNPJ precision oncology2026

SQLE as a potential diagnostic and prognostic biomarker for LIHC: a multi-cohort and spatial study.

Jin Xie, Gao-Chun Xiao, Xin-Yang Qu, Rui-Min Wu, Yu-Long Zou, Hao-Shen Yu, Xue Hu, Xu-Sheng Liu

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Article in NPJ precision oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

8 authors.

Jin Xie *Department of Rehabilitation Medicine Center, Hubei Provincial Clinical Research Center for Precision Diagnosis and Treatment of Liver Cancer, Hubei Provincial Clinical Research Center for Umbilical Cord Blood Hematopoietic Stem Cells, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Gao-Chun Xiao *Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Xin-Yang Qu *School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, Hubei, China.
Rui-Min WuDepartment of Nuclear Medicine, Hubei Provincial Clinical Research Center for Precision Diagnosis and Treatment of Liver Cancer, Hubei Provincial Clinical Research Center for Umbilical Cord Blood Hematopoietic Stem Cells, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Yu-Long ZouDepartment of Finance, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Hao-Shen YuInstitute of Medicine Nursing, Hubei University of Medicine, Shiyan, China.
Xue HuInstitute of Medicine Nursing, Hubei University of Medicine, Shiyan, China.
Xu-Sheng LiuDepartment of Nuclear Medicine, Hubei Provincial Clinical Research Center for Precision Diagnosis and Treatment of Liver Cancer, Hubei Provincial Clinical Research Center for Umbilical Cord Blood Hematopoietic Stem Cells, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China. lxsking@hbmu.edu.cn.ORCID http://orcid.org/0000-0002-3663-1096

Funding

Advantages Discipline Group (Medicine) Project in Higher Education of Hubei Province 2025XKQY31Hubei Provincial Clinical Research Center for precision Diagnosis and Treatment of Liver Cancer Open Fund 2025LCOF02Hubei Provincial Department of Education Science and Technology Research Project B2024100Hubei Provincial Natural Science Foundation of China 2024AFD284Shiyan Taihe Hospital hospital-level project 2024JJXM087
6 · The paper itself

Abstract

Liver hepatocellular carcinoma (LIHC) remains a highly aggressive malignancy, necessitating novel biomarkers for early diagnosis and therapeutic intervention. This study investigates the role of Squalene epoxidase (SQLE), a key enzyme in cholesterol biosynthesis, in LIHC. Integrating multi-cohort analyses of nine GEO datasets and TCGA revealed significant upregulation of SQLE in LIHC tissues. These findings were corroborated at the proteomic level via multiplex immunohistochemistry (mIHC) on a tissue microarray of 48 paired clinical samples, where spatial analysis revealed a strong correlation between SQLE and the epithelial marker Pan Cytokeratin. Clinically, SQLE demonstrated potential diagnostic value and served as an independent prognostic factor for poor overall survival. Functional assays using shRNA knockdown in LIHC cell lines confirmed that SQLE inhibition decreased cellular proliferation, colony formation, and lateral migration. Mechanistically, elevated SQLE expression was associated with lipid metabolism modulation, m6A RNA modification, DNA damage responses, and an immunosuppressive tumor microenvironment. Notably, mIHC analysis of clinical TMAs revealed that high SQLE protein expression in tumor cells was significantly and negatively correlated with the infiltration of CD8 + T cells. Collectively, these results highlight SQLE as a promising diagnostic and prognostic biomarker that is associated with LIHC progression, potentially through metabolic and immunomodulatory pathways.

Identifiers

PMID42215741
PMCPMC13246886

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.