Evidence map›Paper›PMID 42388616›Full record

ArticleFrontiers in oncology2026

Multi-omics and spatial transcriptomics decode the ZDHHC9-driven hypoxia-immunosuppressive axis in hepatocellular carcinoma.

Haiyan Lu, Lingzhen Kong, Shidong Hu, Wenyuan Xie, Yi Wang, Jianhua Wang, Fengsheng Dai

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Article in Frontiers in 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Haiyan Lu *Department of Oncology, Renji Hospital, School of Medicine, Chongqing University, The Fifth People's Hospital of Chongqing, Chongqing, China.
Lingzhen Kong *Department of Oncology, Nanxishan Hospital of The Guangxi Zhuang Autonomous Region (Second People's Hospital of Guangxi Zhuang Autonomous Region), Guilin, Guangxi, China.
Shidong Hu *Department of Spine Surgery, Zhongda Hospital Southeast University, Nanjing, China.
Wenyuan XieDepartment of Hepatobiliary Pancreatic Tumor Center, Chongqing University Cancer Hospital, Chongqing, China.
Yi WangDepartment of Hepatobiliary Pancreatic Tumor Center, Chongqing University Cancer Hospital, Chongqing, China.
Jianhua WangDepartment of Oncology, The First Affiliated Hospital of Dali University, Dali, China.
Fengsheng DaiDepartment of Hepatobiliary Pancreatic Tumor Center, Chongqing University Cancer Hospital, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatocellular carcinoma (HCC) is a major global health challenge with limited treatment options, highlighting the urgent need for new biomarkers and therapeutic targets. Protein palmitoylation, mediated by ZDHHC enzymes, plays a role in cancer, yet its comprehensive function in HCC development is not fully understood. Methods: We conducted a systematic analysis of the ZDHHC family in HCC. Using data from TCGA and GEO databases, we assessed their expression, prognostic value, association with immune infiltration, and drug sensitivity. Diagnostic biomarkers were identified using ten machine learning algorithms. We then developed a consistent machine learning framework to build a robust multi-gene prognostic signature. The tumor microenvironment was further characterized through integrated single-cell and spatial transcriptomic analyses. The oncogenic role of our primary candidate, ZDHHC9, was functionally tested using siRNA knockdown, Results: Our multi-omics analysis pinpointed ZDHHC9 as both a key prognostic factor and the top diagnostic biomarker. We successfully constructed and validated a powerful multi-gene prognostic signature across independent patient cohorts. High ZDHHC9 expression was associated with an immunosuppressive tumor microenvironment and increased therapy resistance. Single-cell and spatial transcriptomics revealed that ZDHHC9 is specifically upregulated in malignant epithelial cells, especially within hypoxic subpopulations. Pan-cancer analysis further confirmed that ZDHHC9 is frequently dysregulated and prognostically relevant in other cancer types. Functionally, depleting ZDHHC9 significantly inhibited HCC cell proliferation, migration, and invasion Conclusion: This study provides a comprehensive profile of the ZDHHC family in HCC, establishes a robust prognostic model, and nominates ZDHHC9 as a novel diagnostic and prognostic biomarker as well as a promising therapeutic target. The oncogenic function of ZDHHC9 appears to be linked to its role in promoting a hypoxic phenotype and fostering an immunosuppressive microenvironment.

Indexed as

hepatocellular carcinomaimmune infiltrationpalmitoylationprognosis markerZDHHC9

Identifiers

PMID42388616
PMCPMC13318649

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