Zhu Yanli, Li Sheng, Wang Haiyue, Ren Wenhao, Chi Kaiwen, Wu Jianghua, Mao Luning, Huang Xiaozheng, Zhuo Minglei, Lin Dongmei
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China.
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department I of Thoracic Oncology, Peking University Cancer Hospital and Institute, Beijing, China.
J Clin Pathol. 2024 Dec 18;78(1):42-50. doi: 10.1136/jcp-2023-209109.
A new molecular subtype classification was proposed for small-cell lung carcinoma (SCLC). We aimed to further validate the classification in various SCLC patient samples using immunohistochemistry (IHC) to highlight its clinical significance.
We analysed the protein expression of four subtype (achaete-scute family BHLH transcription factor 1 (ASCL1), neuronal differentiation 1 (NEUROD1), POU class 2 homeobox 3 (POU2F3) and Yes1-associated transcriptional regulator (YAP1)) and two predictive markers (delta-like ligand 3 (DLL3) and MYC) using IHC in 216 specimens from 195 SCLC patients, including 21 pairs of resected biopsy tumours. Associations among molecular subtypes, clinicopathological features and prognostic implications were also explored.
The ASCL1, NEUROD1, POU2F3, YAP1, DLL3 and MYC-positive expression rates were 70.3%, 56.9%, 14.9%, 19.0%, 75.4% and 22.6%, respectively. DLL3 expression had positive and negative associations with that of ASCL1 and POU2F3/YAP1, respectively, whereas MYC had the opposite effect. Strong associations of ASCL1 (Ρ=0.8603, p<0.0001), NEUROD1 (Ρ=0.8326, p<0.0001), POU2F3 (Ρ=0.6950, p<0.0001) and YAP1 (Ρ=0.7466, p<0.0001) expressions were detected between paired resected biopsy tumours. In addition to SCLC-A (ASCL1-dominant), SCLC-N (NEUROD1-dominant) and SCLC-P (POU2F3-dominant), unsupervised hierarchical cluster analyses identified a fourth, quadruple-negative SCLC subtype (SCLC-QN) characterised by the low expression of all four subtype-specific proteins, and 55.4% (n=108), 27.2% (n=53), 11.8% (n=23) and 5.6% (n=11) were categorised as SCLC-A, SCLC-N, SCLC-P and SCLC-QN, respectively. Significant enrichment of SCLC-P in the combined SCLC cohort was observed, and adenocarcinoma was more prevalent in SCLC-A, while large-cell neuroendocrine carcinoma was more commonly seen in SCLC-P. No survival difference was found among molecular subtypes.
Our results provide clinical insights into the diagnostic, prognostic and predictive significance of SCLC molecular subtype classifications.
提出了一种小细胞肺癌(SCLC)的新分子亚型分类。我们旨在使用免疫组织化学(IHC)在各种SCLC患者样本中进一步验证该分类,以突出其临床意义。
我们使用IHC分析了195例SCLC患者的216份标本中四种亚型(无翅型-MMTV整合位点家族BHLH转录因子1(ASCL1)、神经分化1(NEUROD1)、POU2类同源盒3(POU2F3)和Yes1相关转录调节因子(YAP1))以及两种预测标志物(δ样配体3(DLL3)和MYC)的蛋白表达,其中包括21对切除活检肿瘤。还探讨了分子亚型、临床病理特征和预后意义之间的关联。
ASCL1、NEUROD1、POU2F3、YAP1、DLL3和MYC的阳性表达率分别为70.3%、56.9%、14.9%、19.0%、75.4%和22.6%。DLL3表达分别与ASCL1和POU2F3/YAP1呈正相关和负相关,而MYC则相反。在配对的切除活检肿瘤之间检测到ASCL(Ρ=0.8603,p<0.0001)、NEUROD1(Ρ=0.8326,p<0.0001)、POU2F3(Ρ=0.6950,p<0.0001)和YAP1(Ρ=0.7466,p<0.0001)表达的强相关性。除了SCLC-A(以ASCL1为主)、SCLC-N(以NEUROD1为主)和SCLC-P(以POU2F3为主)外,无监督层次聚类分析确定了第四种四重阴性SCLC亚型(SCLC-QN),其特征是所有四种亚型特异性蛋白的低表达,分别有55.4%(n=108)、27.2%(n=53)、11.8%(n=23)和5.6%(n=11)被分类为SCLC-A、SCLC-N、SCLC-P和SCLC-QN。在合并的SCLC队列中观察到SCLC-P的显著富集,腺癌在SCLC-A中更常见,而大细胞神经内分泌癌在SCLC-P中更常见。分子亚型之间未发现生存差异。
我们的结果为SCLC分子亚型分类的诊断、预后和预测意义提供了临床见解。