Genomic landscape and molecularly informed therapy in thymic carcinoma and other advanced thymic epithelial tumors
- PMID: 40107270
- DOI: 10.1016/j.medj.2025.100612
Genomic landscape and molecularly informed therapy in thymic carcinoma and other advanced thymic epithelial tumors
Abstract
Background: Thymic epithelial tumors (TETs) are rare malignancies with limited treatment options and underexplored molecular features.
Methods: 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.
Findings: 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).
Conclusions: 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.
Keywords: Translation to patients; molecular profiling; multiomics; precision oncology; prospective observational study; targeted therapy; thymic carcinoma; thymic epithelial tumor; thymic neuroendocrine neoplasm; thymoma; whole-genome sequencing.
Copyright © 2025 The Author(s). Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of interests A.S. is on the advisory board/speakers’ bureau for Aignostics, Amgen, Astellas, AstraZeneca, Bayer, BMS, Eli Lilly, Illumina, Incyte, Janssen, MSD, Novartis, Pfizer, Qlucore, QuiP, Roche, Seagen, Servier, Takeda, and Thermo Fisher. He has received grants from Bayer, BMS, Chugai, and Incyte. C.H. has received honoraria from Roche and Novartis and research funding from Boehringer Ingelheim and consults for or is on the advisory board of Boehringer Ingelheim. D.B.L. works as a drug safety physician for Infectopharm. D.T.R. has received honoraria from Bayer, BMS, Eli Lilly, and Roche. M.A. has received honoraria from Boehringer Ingelheim. E.E.M. became an employee of Pfizer Pharma GmbH after participating in this research project. The wife of L.M. is an employee of Pfizer Pharma GmbH. P.C. has received research funding from AstraZeneca, Amgen, Boehringer Ingelheim, Merck, Novartis, Roche, and Takeda; speaker’s honoraria from AstraZeneca, Gilead, Janssen, Novartis, Roche, Pfizer, Thermo Fisher, and Takeda; support for attending meetings from AstraZeneca, Eli Lilly, Daiichi Sankyo, Janssen, Gilead, Novartis, Pfizer, and Takeda; and personal fees for participating in advisory boards from AstraZeneca, Boehringer Ingelheim, Chugai, Pfizer, Novartis, MSD, Takeda, and Roche, all of which are outside the submitted work. S.F. reports consultancy fees from Bayer, Illumina, and Roche; honoraria from Amgen, Eli Lilly, PharmaMar, and Roche; research funding from AstraZeneca, Pfizer, PharmaMar, and Roche; and travel or accommodation expenses from Amgen, Eli Lilly, Illumina, PharmaMar, and Roche.
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