Evidence map›Paper›PMID 42327977›Full record

ArticleGenes & diseases2026

Lipid droplet-associated gene signatures classify metabolic subtypes and identify PLIN3 as a key driver in hepatocellular carcinoma.

Huiying Gu, Qiumin Wu, Haibei Zhao, JingLong Du, Zhenzhen Zhang, Juan Chen

Abstract read
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Article in Genes & diseases, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Huiying GuDepartment of Infectious Disease, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, China.
Qiumin WuThe Key Laboratory of Molecular Biology of Infectious Diseases Designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China.
Haibei ZhaoThe Key Laboratory of Molecular Biology of Infectious Diseases Designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China.
JingLong DuCollege of Medical Informatics, Chongqing Medical University, Chongqing 400016, China.
Zhenzhen ZhangDepartment of Infectious Disease, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, China.
Juan ChenDepartment of Infectious Disease, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma is characterized by considerable molecular heterogeneity, which complicates prognostic predictions and contributes to therapeutic resistance. This study aimed to develop a molecular classification framework grounded in lipid droplet-associated genes (LDAGs) and to comprehensively elucidate their biological significance and clinical applicability in guiding personalized treatment approaches. By leveraging multi-cohort datasets, we defined LDAG-based molecular subtypes and systematically characterized their genomic alterations, metabolic features, pathway activation patterns, and therapeutic vulnerabilities. Three distinct subtypes (C1-C3) were identified according to LDAG expression patterns, each demonstrating unique clinical outcomes, mutational profiles, and metabolic reprogramming. The C1 subtype correlated with the poorest overall survival, more advanced tumor stages, and activation of pro-proliferative signaling pathways. Therapeutic vulnerabilities were subtype-dependent, with C1 showing heightened sensitivity to sorafenib. Five pivotal LDAGs (PLIN3, SET, CKAP4, RAP1B, and PISD) were implicated in the aggressive phenotype of C1, among which PLIN3 exhibited the strongest prognostic value. Functional assays confirmed that PLIN3 knockdown reduced lipid accumulation, suppressed cell proliferation and migration, and impaired tumorigenesis, whereas its overexpression promoted aggressive tumor behavior. In conclusion, our LDAG-based classification system stratifies hepatocellular carcinoma into three clinically relevant subtypes. PLIN3 emerges as a promising prognostic biomarker and therapeutic target, thereby mechanistically linking lipid metabolism to hepatocellular carcinoma progression.

Indexed as

Hepatocellular carcinomaLDAGLipid dropletMolecular subtypePLIN3

Identifiers

PMID42327977
PMCPMC13276161

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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 OpenQuestion graph.