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Assays for Validating Histone Acetyltransferase Inhibitors
Published on: August 6, 2020
Differential transcriptomic modulation by histone deacetylase inhibitor SAHA in LUAD and LUSC
Fei Wang1, Qingjun Yang1, Lei Shu1
1The Affiliated Panyu Central Hospital, Guangzhou Women and Children's Medical Center, Infection Medicine Research Institute of Panyu District, School of Biomedical Engineering, Guangdong University of Technology, The Fifth Affiliated Hospital, Guangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology, the NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences, Guangzhou Medical University, Guangzhou, 511436, China.
Histone deacetylase inhibitors (HDACi) like SAHA show varied responses in non-small cell lung cancer (NSCLC) subtypes. SAHA engages distinct lineage-specific gene modules in lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC), offering subtype-tailored therapeutic strategies.
Area of Science:
- Epigenetics
- Cancer Biology
- Pharmacogenomics
Background:
- Histone deacetylases (HDACs) are key epigenetic regulators in non-small cell lung cancer (NSCLC).
- Responses to HDAC inhibitors (HDACi) differ significantly between lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC).
Purpose of the Study:
- To investigate how suberoylanilide hydroxamic acid (SAHA, vorinostat), a pan-HDAC inhibitor, alters lineage-specific transcriptional programs in LUAD and LUSC.
- To determine if SAHA-aligned gene modules, not individual genes, reveal clinically relevant vulnerabilities in each NSCLC subtype.
Main Methods:
- Utilized bulk RNA-sequencing on LUAD-like (NCI-H1299) and LUSC-like (NCI-H1703) cells treated with SAHA or DMSO.
- Performed differential gene expression analysis, gene ontology (GO)/Reactome over-representation, Hallmark Gene Set Enrichment Analysis (GSEA), and protein-protein interaction mapping.
- Constructed SAHA "feature-sensing" modules by intersecting SAHA-responsive differentially expressed genes (DEGs) with overall-survival-associated genes, and analyzed these modules in TCGA LUAD and LUSC tumor cohorts.
Main Results:
- SAHA modulated transcriptomes in both cell lines, inducing shared suppression of cell-cycle programs (E2F/G2-M) but diverging in other outputs.
- In LUAD-like cells, SAHA upregulated morphogenesis/adhesion and KRAS signaling, while dampening interferon/stress pathways, and reduced migration.
- In LUSC-like cells, SAHA triggered cell-cycle checkpoint shutdown, induced complement/ECM and inflammatory responses, increased apoptosis, and showed modest migration restraint. Four SAHA feature-sensing modules were identified, with LUAD_RISK and LUSC_RISK modules stratifying prognosis and linked to distinct HDAC isoform neighborhoods.
Conclusions:
- SAHA establishes a common anti-proliferative effect but activates distinct subtype-specific risk modules in LUAD (cell-cycle/migration-linked) and LUSC (checkpoint/stress-linked).
- These SAHA feature-sensing modules offer a framework for developing subtype-tailored HDAC inhibitor combinations and biomarkers for NSCLC.
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