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大细胞肺癌、肺大细胞神经内分泌癌和小细胞肺癌的基因组景观和肿瘤微环境比较研究。

Comparative study of the genomic landscape and tumor microenvironment among large cell carcinoma of the lung, large cell neuroendocrine of the lung, and small cell lung cancer.

机构信息

Department of Pathology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.

Cardiothoracic Surgery Department, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.

出版信息

Medicine (Baltimore). 2023 Jan 27;102(4):e32781. doi: 10.1097/MD.0000000000032781.

DOI:10.1097/MD.0000000000032781
PMID:36705391
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9876020/
Abstract

Deciphering the genomic profiles and tumor microenvironment (TME) in large cell carcinomas of the lung (LCC), large cell neuroendocrine of the lung (LCNEC), and small cell lung cancer (SCLC) might contribute to a better understanding of lung cancer and then improve outcomes. Ten LCC patients, 12 LCNEC patients, and 18 SCLC patients were enrolled. Targeted next-generation sequencing was used to investigate the genomic profiles of LCC, LCNEC, and SCLC. Tumor-infiltrating lymphocytes (TILs) within cancer cell nests and in cancer stroma were counted separately. Precise 60% of LCNEC patients harbored classical non-small cell lung cancer driver alterations, occurring in BRAF, KRAS, ROS1, and RET. More than 70% of SCLC patients harbored TP53-RB1 co-alterations. Moreover, 88.9%, 40%, and 77.8% of LCC, LCNEC, and SCLC cases had a high tumor mutation burden level with more than 7 mutations/Mb. Furthermore, high index of CD68+ CD163+ (TILs within cancer cell nests/ TILs within cancer cell nests and in cancer stroma, P = .041, 548 days vs not reached) and CD163+ TILs (P = .041, 548 days vs not reached) predicted a shorter OS in SCLC. Our findings revealed the distinct genomic profiles and TME contexture among LCC, LCNEC, and SCLC. Our findings suggest that stratifying LCNEC/SCLC patients based on TME contexture might help clinical disease management.

摘要

解析肺大细胞癌(LCC)、肺大细胞神经内分泌癌(LCNEC)和小细胞肺癌(SCLC)的基因组谱和肿瘤微环境(TME)可能有助于更好地了解肺癌,进而改善预后。纳入了 10 例 LCC 患者、12 例 LCNEC 患者和 18 例 SCLC 患者。使用靶向下一代测序来研究 LCC、LCNEC 和 SCLC 的基因组谱。分别计数癌巢内和癌间质中的肿瘤浸润淋巴细胞(TILs)。60%的 LCNEC 患者存在经典的非小细胞肺癌驱动基因突变,发生在 BRAF、KRAS、ROS1 和 RET 中。超过 70%的 SCLC 患者存在 TP53-RB1 共突变。此外,88.9%、40%和 77.8%的 LCC、LCNEC 和 SCLC 病例具有高肿瘤突变负担水平,超过 7 个突变/Mb。此外,CD68+CD163+(癌巢内 TILs/TILs 与癌巢内和癌间质内,P=0.041,548 天与未达到)和 CD163+TILs(P=0.041,548 天与未达到)的高指数预测 SCLC 患者的 OS 更短。我们的研究结果揭示了 LCC、LCNEC 和 SCLC 之间不同的基因组谱和 TME 结构。我们的研究结果表明,根据 TME 结构对 LCNEC/SCLC 患者进行分层可能有助于临床疾病管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd53/9876020/65dcc6453261/medi-102-e32781-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd53/9876020/ac7e0bf6a738/medi-102-e32781-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd53/9876020/65dcc6453261/medi-102-e32781-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd53/9876020/5d2b2d99d5ae/medi-102-e32781-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd53/9876020/ddd661e9082c/medi-102-e32781-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd53/9876020/d4c142b046c1/medi-102-e32781-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd53/9876020/eaf9df42709a/medi-102-e32781-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd53/9876020/c6738f9d089b/medi-102-e32781-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd53/9876020/ba4d7279b4b3/medi-102-e32781-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd53/9876020/ac7e0bf6a738/medi-102-e32781-g007.jpg
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