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Comprehensive analysis of transcription factor-based molecular subtypes and their correlation to clinical outcomes in small-cell lung cancer

Authors
 Park, Sehhoon  ;  Hong, Tae Hee  ;  Hwang, Soohyun  ;  Heeke, Simon  ;  Gay, Carl M.  ;  Kim, Jiyeon  ;  Jung, Hyun-Ae  ;  Sun, Jong-Mu  ;  Ahn, Jin Seok  ;  Ahn, Myung-Ju  ;  Cho, Jong Ho  ;  Choi, Yong Soo  ;  Kim, Jhingook  ;  Shim, Young Mog  ;  Kim, Hong Kwan  ;  Byers, Lauren Averett  ;  Heymach, John V.  ;  Choi, Yoon-La  ;  Lee, Se-Hoon  ;  Park, Keunchil 
Citation
 EBIOMEDICINE, Vol.102, 2024-04 
Article Number
 105062 
Journal Title
EBIOMEDICINE
ISSN
 2352-3964 
Issue Date
2024-04
Keywords
ASCL1 ; Molecular subtype ; NEUROD1 ; POU2F3 ; Small cell lung cancer
Abstract
Background Recent studies have reported the predictive and prognostic value of novel transcriptional factor -based molecular subtypes in small -cell lung cancer (SCLC). We conducted an in-depth analysis pairing multi-omics data with immunohistochemistry (IHC) to elucidate the underlying characteristics associated with differences in clinical outcomes between subtypes. Methods IHC (n = 252), target exome sequencing (n = 422), and whole transcriptome sequencing (WTS, n = 189) data generated from 427 patients (86.4% males, 13.6% females) with SCLC were comprehensively analysed. The differences in the mutation profile, gene expression profile, and inflammed signatures were analysed according to the IHC-based molecular subtype. Findings IHC-based molecular subtyping, comprised of 90 limited -disease (35.7%) and 162 extensive -disease (64.3%), revealed a high incidence of ASCL1 subtype (IHC-A, 56.3%) followed by ASCL1/NEUROD1 co -expressed (IHC-AN, 17.9%), NEUROD1 (IHC-N, 12.3%), POU2F3 (IHC-P, 9.1%), triple -negative (IHC-TN, 4.4%) subtypes. IHC-based subtype showing high concordance with WTS-based subtyping and non -negative matrix factorization (NMF) clusterization method. IHC-AN subtype resembled IHC-A (rather than IHC-N) in terms of both gene expression profiles and clinical outcomes. Favourable median overall survival was observed in IHC-A (15.2 months) compared to IHC-N (8.0 months, adjusted HR 2.3, 95% CI 1.4-3.9, p = 0.002) and IHC-P (8.3 months, adjusted HR 1.7, 95% CI 0.9-3.2, p = 0.076). Inflamed tumours made up 25% of cases (including 53% of IHC-P, 26% of IHC-A, 17% of IHC-AN, but only 11% of IHC-N). Consistent with recent findings, inflamed tumours were more likely to benefit from first -line immunotherapy treatment than non -inflamed phenotype (p = 0.002). Interpretation This study provides fundamental data, including the incidence and basic demographics of molecular subtypes of SCLC using both IHC and WTS from a comparably large, real -world Asian/non-Western patient cohort, showing high concordance with the previous NMF-based SCLC model. In addition, we revealed underlying biological pathway activities, immunogenicity, and treatment outcomes based on molecular subtype, possibly related to the difference in clinical outcomes, including immunotherapy response.
DOI
10.1016/j.ebiom.2024.105062
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Thoracic and Cardiovascular Surgery (흉부외과학교실) > 1. Journal Papers
Yonsei Authors
Hong, Tae Hee(홍태희)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/199205
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