AUTHOR=Meng Fanlin , Zhang Kenan , Yang Changlin , Zhang Ke , Xu Quan , Ren Ruifang , Zhou Yiming , Sun Yimin , Peng Yan , Li Yanze , Guo Hongyan , Ren Yonghong , Zhao Zheng 

TITLE=Prognostic Pathways Guide Drug Indications in Pan-Cancers

JOURNAL=Frontiers in Oncology

VOLUME=Volume 12 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2022.849552

DOI=10.3389/fonc.2022.849552

ISSN=2234-943X

ABSTRACT=Pathway-level analysis is a powerful approach enabling interpretation of post-genomic data at a higher level than that of individual molecules. Molecular-targeted therapy focusing on the cascade signaling pathways become a new paradigm in anticancer therapy, instead of a single protein. However, the approaches to narrow down the long list of biological pathways is limited. Here, we proposed a strategy for in silico Drug Prescription on biological pathways across pan-Cancers (CDP), by connecting drugs to candidate pathways. Applying on a list of 120 Traditional Chinese Medicines (TCM), we specially identified “TCM-pathways-cancers” triplets and constructed into a heterogeneous network across pan-cancers. Application into TCMs, the computational prescribing methods deepened the understanding of the efficacy of TCM in molecular level. Further application into western medicines, CDP could promote drug reposition avoiding time-consuming developments of new drugs.