Cargando…

Promoter-Specific Variants in NeuroD1 and H3K4me3 Coincident Regions and Clinical Outcomes of Small Cell Lung Cancer

BACKGROUND: Neurogenic differentiation 1 (NeuroD1) is a representative small cell lung cancer (SCLC) transcription regulator involved in the carcinogenesis and behavior of SCLC. Histone modifications play an important role in transcription, and H3 lysine 4 trimethylation (H3K4me3) is primarily assoc...

Descripción completa

Detalles Bibliográficos
Autores principales: Yoo, Seung Soo, Lee, Sunwoong, Choi, Jin Eun, Hong, Mi Jeong, Do, Sook Kyung, Lee, Jang Hyuck, Lee, Won Kee, Park, Ji Eun, Lee, Yong Hoon, Choi, Sun Ha, Seo, Hyewon, Lee, Jaehee, Lee, Shin Yup, Cha, Seung Ick, Kim, Chang Ho, Kang, Hyo-Gyoung, Park, Jae Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659920/
https://www.ncbi.nlm.nih.gov/pubmed/37987107
http://dx.doi.org/10.3346/jkms.2023.38.e381
Descripción
Sumario:BACKGROUND: Neurogenic differentiation 1 (NeuroD1) is a representative small cell lung cancer (SCLC) transcription regulator involved in the carcinogenesis and behavior of SCLC. Histone modifications play an important role in transcription, and H3 lysine 4 trimethylation (H3K4me3) is primarily associated with promoter regions. METHODS: We investigated the association between single nucleotide polymorphisms (SNPs) in NeuroD1 and H3K4me3 coincident regions, selected using ChIP sequencing (ChIP-seq), and the clinical outcomes of 261 patients with SCLC. RESULTS: Among 230 SNPs, two were significantly associated with both the chemotherapy response and overall survival (OS) of patients with SCLC. RNF145 rs2043268A>G was associated with worse chemotherapy response and OS (under a recessive model, adjusted odds ratio [aOR], 0.50, 95% confidence interval [CI], 0.26–0.94, P = 0.031, and adjusted hazard ratio [aHR], 1.88, 95% CI, 1.38–2.57, P < 0.001). CINP rs762105A>G was also associated with worse chemotherapy response and OS (under a dominant model, aOR, 0.47, 95% CI, 0.23–0.99, P = 0.046, and aHR, 2.03, 95% CI, 1.47–2.82, P < 0.001). ChIP–quantitative polymerase chain reaction and luciferase assay confirmed that the two SNPs were located in the active promoter regions and influenced the promoter activity of each gene. CONCLUSION: To summarize, among SNPs selected using ChIP-seq in promoter regions with high peaks in both NeuroD1 and H3K4me3, RNF145 rs2043268A>G and CINP rs762105A>G were associated with clinical outcomes in patients with SCLC and also affected the promoter activity of each gene.