Adaptation and selection shape clonal evolution of tumors during residual disease and recurrence.
Adaptation and selection shape clonal evolution of tumors during residual disease and recurrence.
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DOI:
10.1038/s41467-020-18730-z
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发表时间:
2020-10-06
影响因子:
16.6
通讯作者:
Alvarez JV
中科院分区:
文献类型:
--
作者:
Walens A;Lin J;Damrauer JS;McKinney B;Lupo R;Newcomb R;Fox DB;Mabe NW;Gresham J;Sheng Z;Sibley AB;De Buysscher T;Kelkar H;Mieczkowski PA;Owzar K;Alvarez JV
The survival and recurrence of residual tumor cells following therapy constitutes one of the biggest obstacles to obtaining cures in breast cancer, but it remains unclear how the clonal composition of tumors changes during relapse. We use cellular barcoding to monitor clonal dynamics during tumor recurrence in vivo. We find that clonal diversity decreases during tumor regression, residual disease, and recurrence. The recurrence of dormant residual cells follows several distinct routes. Approximately half of the recurrent tumors exhibit clonal dominance with a small number of subclones comprising the vast majority of the tumor; these clonal recurrences are frequently dependent upon Met gene amplification. A second group of recurrent tumors comprises thousands of subclones, has a clonal architecture similar to primary tumors, and is dependent upon the Jak/Stat pathway. Thus the regrowth of dormant tumors proceeds via multiple routes, producing recurrent tumors with distinct clonal composition, genetic alterations, and drug sensitivities. The cellular composition of recurrent tumors can provide insight into resistance to therapy and inform on second line therapies. Here, using a genetically modified mouse, the authors perform barcoding experiments of the primary tumors to allow them to study the clonal dynamics of tumor recurrence.
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影响因子:
10.5
作者:
Dontu, G;Abdallah, WM;Wicha, MS
通讯作者:
Wicha, MS
影响因子:
46.9
作者:
Becht, Etienne;McInnes, Leland;Newell, Evan W.
通讯作者:
Newell, Evan W.
DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
82.9
作者:
Bivona TG;Doebele RC
通讯作者:
Doebele RC
影响因子:
64.5
作者:
Acharyya S;Oskarsson T;Vanharanta S;Malladi S;Kim J;Morris PG;Manova-Todorova K;Leversha M;Hogg N;Seshan VE;Norton L;Brogi E;Massagué J
通讯作者:
Massagué J