Transcriptomic analysis identifies organ-specific metastasis genes and pathways across different primary sites.

Lin Zhang, Ming Fan, Francesco Napolitano, Xin Gao, Ying Xu, Lihua Li

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


BackgroundMetastasis is the most devastating stage of cancer progression and often shows a preference for specific organs.MethodsTo reveal the mechanisms underlying organ-specific metastasis, we systematically analyzed gene expression profiles for three common metastasis sites across all available primary origins. A rank-based method was used to detect differentially expressed genes between metastatic tumor tissues and corresponding control tissues. For each metastasis site, the common differentially expressed genes across all primary origins were identified as organ-specific metastasis genes.ResultsPathways enriched by these genes reveal an interplay between the molecular characteristics of the cancer cells and those of the target organ. Specifically, the neuroactive ligand-receptor interaction pathway and HIF-1 signaling pathway were found to have prominent roles in adapting to the target organ environment in brain and liver metastases, respectively. Finally, the identified organ-specific metastasis genes and pathways were validated using a primary breast tumor dataset. Survival and cluster analysis showed that organ-specific metastasis genes and pathways tended to be expressed uniquely by a subgroup of patients having metastasis to the target organ, and were associated with the clinical outcome.ConclusionsElucidating the genes and pathways underlying organ-specific metastasis may help to identify drug targets and develop treatment strategies to benefit patients.
Original languageEnglish (US)
JournalJournal of Translational Medicine
Issue number1
StatePublished - Jan 8 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-01-12
Acknowledgements: This research was funded by the National Natural Science Foundation of China (Grant Numbers 61701150, 61731008 and 61871428) and Natural Science Foundation of Zhejiang Province (LJ19H180001).


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