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Progression signature underlies clonal evolution and dissemination of multiple myeloma
Author(s) -
Yu J. Shen,
Yuji Mishima,
Jiantao Shi,
Romanos SklavenitisPistofidis,
Robert Redd,
Michele Moschetta,
Salomon Manier,
Aldo M. Roccaro,
Antonio Sacco,
YuTzu Tai,
François Mercier,
Yawara Kawano,
Nang Kham Su,
Brianna Berrios,
John G. Doench,
David E. Root,
Franziska Michor,
David T. Scadden,
Irene M. Ghobrial
Publication year - 2020
Publication title -
blood
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.515
H-Index - 465
eISSN - 1528-0020
pISSN - 0006-4971
DOI - 10.1182/blood.2020005885
Subject(s) - tumor progression , biology , somatic evolution in cancer , multiple myeloma , bone marrow , clone (java method) , cancer research , cancer , gene , immunology , genetics
Clonal evolution drives tumor progression, dissemination, and relapse in multiple myeloma (MM), with most patients dying of relapsed disease. This multistage process requires tumor cells to enter the circulation, extravasate, and colonize distant bone marrow (BM) sites. Here, we developed a fluorescent or DNA-barcode clone-tracking system on MM PrEDiCT (progression through evolution and dissemination of clonal tumor cells) xenograft mouse model to study clonal behavior within the BM microenvironment. We showed that only the few clones that successfully adapt to the BM microenvironment can enter the circulation and colonize distant BM sites. RNA sequencing of primary and distant-site MM tumor cells revealed a progression signature sequentially activated along human MM progression and significantly associated with overall survival when evaluated against patient data sets. A total of 28 genes were then computationally predicted to be master regulators (MRs) of MM progression. HMGA1 and PA2G4 were validated in vivo using CRISPR-Cas9 in the PrEDiCT model and were shown to be significantly depleted in distant BM sites, indicating their role in MM progression and dissemination. Loss of HMGA1 and PA2G4 also compromised the proliferation, migration, and adhesion abilities of MM cells in vitro. Overall, our model successfully recapitulates key characteristics of human MM disease progression and identified potential new therapeutic targets for MM.

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