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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.
Background:
Histone deacetylases (HDACs) are central epigenetic regulators in non-small cell lung cancer (NSCLC), yet responses to HDAC inhibitors (HDACi) vary markedly between lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC). We asked how the pan-HDAC inhibitor suberoylanilide hydroxamic acid (SAHA, vorinostat) rewires lineage-specific transcriptional programs and whether SAHA-aligned modules of genes, rather than individual loci, capture clinically relevant vulnerabilities in each subtype.
Methods:
LUAD-like NCI-H1299 (TP53del, NRASQ61K) and LUSC-like NCI-H1703 (TP53WT, PDGFRAamp, PIK3CAE542K) cells were treated with SAHA (10 µM, 24 h) or DMSO. Bulk RNA-seq data were analysed with edgeR (FDR < 0.05, |log2FC|> 1), followed by GO/Reactome over-representation, Hallmark GSEA, and STRING-based protein-protein interaction mapping. We quantified apoptosis (Annexin V/PI) and motility (scratch assays under mitomycin C). SAHA "feature-sensing" modules were constructed by intersecting SAHA-responsive DEGs with overall-survival-associated genes from GEPIA2 and were scored in 592 LUAD and 551 LUSC tumours. Correlations between HDAC isoforms and module scores were used to define subtype-biased HDAC-module neighbourhoods.
Results:
SAHA reprogrammed the transcriptome in both lines (1,098 DEGs in H1299; 1,532 in H1703), enforcing a shared suppression of E2F/G2-M programs but diverging in non-cell-cycle outputs. In LUAD-like H1299, SAHA upregulated morphogenesis/adhesion and KRAS_SIGNALING_DN/EMT-adjacent signatures while dampening interferon/stress pathways, and significantly reduced migration at low dose. In LUSC-like H1703, SAHA triggered a dominant cell-cycle checkpoint shutdown coupled to complement/ECM and inflammatory induction, with stronger apoptosis but only modest short-term migration restraint. Survival-anchored analysis yielded four SAHA feature-sensing modules; the LUAD_RISK module was enriched for cell-cycle/mitotic genes and was attenuated by SAHA, whereas the LUSC_RISK module captured checkpoint, ECM, and stress-response programs preferentially down-regulated in H1703. Both risk modules stratified prognosis and were linked to distinct HDAC-centred neighbourhoods (HDAC7/9-LUAD_RISK and HDAC4/6-LUSC_RISK) in TCGA tumours.
Conclusions:
SAHA imposes a common anti-proliferative core but engages distinct lineage-conditioned risk modules in LUAD and LUSC-cell-cycle/migration-linked in LUAD and checkpoint/stress-linked in LUSC. These SAHA feature-sensing modules provide a mechanistic and clinically anchored framework for subtype-tailored HDAC-directed combinations and for future development of HDACi-aligned biomarkers in NSCLC.
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