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Genomic landscape and molecularly informed therapy in thymic carcinoma and other advanced thymic epithelial tumors

胸腺癌 癌症研究 医学 肿瘤科 病理 生物 胸腺瘤
作者
Lino Möhrmann,Lysann Rostock,Maximilian Werner,Małgorzata Oleś,Jonathan Arnold,Nagarajan Paramasivam,Korinna Jöhrens,Luise Rupp,Marc Schmitz,Daniela Richter,Sebastian Uhrig,Martina Fröhlich,Barbara Hutter,Jennifer Hüllein,Arne Jahn,M. Arlt,Elena E. Möhrmann,Dorothea Hanf,Laura Gieldon,Simon Kreutzfeldt
出处
期刊:Med [Elsevier BV]
卷期号:: 100612-100612 被引量:1
标识
DOI:10.1016/j.medj.2025.100612
摘要

Thymic epithelial tumors (TETs) are rare malignancies with limited treatment options and underexplored molecular features. We examined the genomic landscape and therapeutic outcomes in 81 patients with advanced TETs, including thymic carcinomas (TCs), thymomas, and thymic neuroendocrine neoplasms (TNENs), who were enrolled in the MASTER trial, a prospective observational precision oncology trial. Using whole-genome-sequencing and whole-exome-sequencing analysis, transcriptome analysis, and methylome analysis, we identified distinct molecular features across TET subtypes, including a higher tumor mutational burden in TC and pathogenic germline variants in 18% of cases. We performed transcriptome- and methylome-based unsupervised clustering and were able to divide TCs into immunologically hot and cold subsets, with hot TCs exhibiting higher T cell infiltration and significantly longer overall survival. In 65 out of 76 (86%) patients, we recommended molecularly informed therapies, which were applied in 29 out of 65 (45%) cases, leading to a disease control rate of 62% and an objective response rate of 23% (both n = 26). The progression-free survival ratio (PFSr) was > 1.3 in 8 out of 24 (33%) patients, 7 of them having TC. Among TCs, patients achieved a mean PFSr of 1.4, indicating potential therapeutic advantages in this subgroup. The PFSr between the PFS of immune checkpoint inhibition and preceding therapies was significantly higher in the hot cluster compared to the cold cluster (median 1.7 vs. 0.3; p = 0.01945). Our findings expand the understanding of TET biology and emphasize the role of precision oncology in informing treatment decisions and improving outcomes for patients with advanced TETs, particularly in TCs.
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