Transcriptomics based prediction of survival and response to therapy in malignant mesothelioma
N. U. Nair, Q. Jiang, J. S. Wei, V. A. Misra, B. Morrow, C. Kesserwan, L. C. Hermida, J. S. Lee, I. Mian, J. Zhang, A. Lebensohn, M. Sengupta, J. Khan, E. Ruppin, R. Hassan
The paper identifies a 48-gene prognostic signature and synthetic-lethality profiles predictive of survival and therapy response in mesothelioma using transcriptomic and exomic data from 122 patients.
bioRxiv · Apr 13, 2022 · PreprintCancer Biology