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Clone Phylogenetics Reveals Metastatic Tumor Migrations, Maps, and Models

; ; 
Hamilton, Lauren
; 
Vu, Tracy
; 
Gaffney, Stephen G.
; 
Aly, Vivian
; 
Karim, Sajjad
; 
Sanderford, Maxwell
; 
Townsend, Jeffrey P.
; 
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Genre
Journal article
Date
2022-09-04
Advisor
Committee member
Group
Institute for Genomics and Evolutionary Medicine (iGEM) (Temple University)
Department
Biology
Subject
Tumor evolution
 Metastasis
 Molecular evolution
 Phylogenetics
 Phylodynamics
 Cancer
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http://hdl.handle.net/20.500.12613/9906
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ChroniEtAl-JournalArticle-2022-09.pdf
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DOI
http://dx.doi.org/10.3390/cancers14174326
Abstract
Dispersal routes of metastatic cells are not medically detected or even visible. A molecular evolutionary analysis of tumor variation provides a way to retrospectively infer metastatic migration histories and answer questions such as whether the majority of metastases are seeded from clones within primary tumors or seeded from clones within pre-existing metastases, as well as whether the evolution of metastases is generally consistent with any proposed models. We seek answers to these fundamental questions through a systematic patient-centric retrospective analysis that maps the dynamic evolutionary history of tumor cell migrations in many cancers. We analyzed tumor genetic heterogeneity in 51 cancer patients and found that most metastatic migration histories were best described by a hybrid of models of metastatic tumor evolution. Synthesizing across metastatic migration histories, we found new tumor seedings arising from clones of pre-existing metastases as often as they arose from clones from primary tumors. There were also many clone exchanges between the source and recipient tumors. Therefore, a molecular phylogenetic analysis of tumor variation provides a retrospective glimpse into general patterns of metastatic migration histories in cancer patients.
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Citation
Chroni, A.; Miura, S.; Hamilton, L.; Vu, T.; Gaffney, S.G.; Aly, V.; Karim, S.; Sanderford, M.; Townsend, J.P.; Kumar, S. Clone Phylogenetics Reveals Metastatic Tumor Migrations, Maps, and Models. Cancers 2022, 14, 4326. https://doi.org/10.3390/cancers14174326
Citation to related work
MDPI
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Cancers, Vol. 14, Iss. 17
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