img src="https://scx1.b-cdn.net/csz/news/800a/2022/different-small-cell-l.jpg" alt="Different small cell lung cancer subtypes defined" title="Molecular subtypes of WTS and TMA samples of surgically resected SCLCs defined by the IHC expression of ASCL1, NEUROD1, POU2F3 and YAP1(A) Unsupervise d clustering of the WTS cohort revealed five distinct SCLC subgroups. In addition to SCLC-N (NEUROD1-dominant), SCLC-AN (combined ASCL1/NEUROD1), SCLC-A (ASCL1-dominant ) and SC LC-P (POU2F3-dominant), we found a fifth, quadruple-ne gat i ve SC LC subtyp e (SCLC-QN) with low ASCL1, NEUROD1, POU2F3 and YAP1 expressions. Clustering was performed using the R statistical computing environment, and the color bar scale represents the IHC expression level of the transcription factors as a percentage of tumor cells showing positive staining. (B) Four major clusters were identified in the TMA cohort by unsupervised hierarchica l clustering defined by the expression pattern of ASCL1, NEUROD1, POU2F3 and YAP1: SCLC-A, SCLC-N , SCLC-P and SCLC-QN. (C,D) IHC staining of representative tumors from (C) the WTS and (D) the TMA set, demonstrating expression pattern for each transcription factor. All images were captured with a 40x objective lens. Credit: The Journal of Pathology (2022). DOI: 10.1002/path.5922" width="421" height="467"通过ASCL1、NEUROD1、POU2F3和YAP1的IHC表达来确定手术切除SCLC的WTS和TMA样本的分子亚型(A)。WTS队列的非监督聚类显示了五个不同的SCLC亚组。除了SCLC-N (NEUROD1主导)、SCLC-AN(结合ASCL1/NEUROD1)、SCLC-A (ASCL1主导)和SCLC- p (POU2F3主导),我们还发现了SCLC亚型(SCLC-QN)中ASCL1、NEUROD1、POU2F3和YAP1的低表达。采用R统计计算环境进行聚类,色条标度表示转录因子的IHC表达水平占阳性肿瘤细胞的百分比。(B)在TMA队列中,通过ASCL1、NEUROD1、POU2F3和YAP1表达模式定义的无监督层次聚类,发现了4个主要聚类:SCLC-A、SCLC-N、SCLC-P和SCLC-QN。(C,D)来自(C) WTS和(D) TMA组的代表性肿瘤的免疫组化染色,显示了每个转录因子的表达模式。所有图像都是用40倍的物镜拍摄的。DOI: 10.1002 / path.5922