Clonal architecture predicts clinical outcomes and drug sensitivity in acute myeloid leukemia.
Clonal architecture predicts clinical outcomes and drug sensitivity in acute myeloid leukemia.
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DOI:
10.1038/s41467-021-27472-5
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发表时间:
2021-12-13
影响因子:
16.6
通讯作者:
Majeti R
中科院分区:
文献类型:
--
作者:
Benard BA;Leak LB;Azizi A;Thomas D;Gentles AJ;Majeti R
The impact of clonal heterogeneity on disease behavior or drug response in acute myeloid leukemia remains poorly understood. Using a cohort of 2,829 patients, we identify features of clonality associated with clinical features and drug sensitivities. High variant allele frequency for 7 mutations (including NRAS and TET2) associate with dismal prognosis; elevated GATA2 variant allele frequency correlates with better outcomes. Clinical features such as white blood cell count and blast percentage correlate with the subclonal abundance of mutations such as TP53 and IDH1. Furthermore, patients with cohesin mutations occurring before NPM1, or transcription factor mutations occurring before splicing factor mutations, show shorter survival. Surprisingly, a branched pattern of clonal evolution is associated with superior clinical outcomes. Finally, several mutations (including NRAS and IDH1) predict drug sensitivity based on their subclonal abundance. Together, these results demonstrate the importance of assessing clonal heterogeneity with implications for prognosis and actionable biomarkers for therapy. Individual studies have been underpowered to draw clear associations between clonal heterogeneity and response to therapy in acute myeloid leukemia (AML). Here, the authors aggregate multiple AML cohorts and are able to correlate the clonal abundance of somatic mutations with clinical outcomes and drug sensitivity.
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影响因子:
82.9
作者:
Bernard E;Nannya Y;Hasserjian RP;Devlin SM;Tuechler H;Medina-Martinez JS;Yoshizato T;Shiozawa Y;Saiki R;Malcovati L;Levine MF;Arango JE;Zhou Y;Solé F;Cargo CA;Haase D;Creignou M;Germing U;Zhang Y;Gundem G;Sarian A;van de Loosdrecht AA;Jädersten M;Tobiasson M;Kosmider O;Follo MY;Thol F;Pinheiro RF;Santini V;Kotsianidis I;Boultwood J;Santos FPS;Schanz J;Kasahara S;Ishikawa T;Tsurumi H;Takaori-Kondo A;Kiguchi T;Polprasert C;Bennett JM;Klimek VM;Savona MR;Belickova M;Ganster C;Palomo L;Sanz G;Ades L;Della Porta MG;Elias HK;Smith AG;Werner Y;Patel M;Viale A;Vanness K;Neuberg DS;Stevenson KE;Menghrajani K;Bolton KL;Fenaux P;Pellagatti A;Platzbecker U;Heuser M;Valent P;Chiba S;Miyazaki Y;Finelli C;Voso MT;Shih LY;Fontenay M;Jansen JH;Cervera J;Atsuta Y;Gattermann N;Ebert BL;Bejar R;Greenberg PL;Cazzola M;Hellström-Lindberg E;Ogawa S;Papaemmanuil E
通讯作者:
Papaemmanuil E
影响因子:
64.8
作者:
Abelson S;Collord G;Ng SWK;Weissbrod O;Mendelson Cohen N;Niemeyer E;Barda N;Zuzarte PC;Heisler L;Sundaravadanam Y;Luben R;Hayat S;Wang TT;Zhao Z;Cirlan I;Pugh TJ;Soave D;Ng K;Latimer C;Hardy C;Raine K;Jones D;Hoult D;Britten A;McPherson JD;Johansson M;Mbabaali F;Eagles J;Miller JK;Pasternack D;Timms L;Krzyzanowski P;Awadalla P;Costa R;Segal E;Bratman SV;Beer P;Behjati S;Martincorena I;Wang JCY;Bowles KM;Quirós JR;Karakatsani A;La Vecchia C;Trichopoulou A;Salamanca-Fernández E;Huerta JM;Barricarte A;Travis RC;Tumino R;Masala G;Boeing H;Panico S;Kaaks R;Krämer A;Sieri S;Riboli E;Vineis P;Foll M;McKay J;Polidoro S;Sala N;Khaw KT;Vermeulen R;Campbell PJ;Papaemmanuil E;Minden MD;Tanay A;Balicer RD;Wareham NJ;Gerstung M;Dick JE;Brennan P;Vassiliou GS;Shlush LI
通讯作者:
Shlush LI
影响因子:
20.3
作者:
Lindsley, R. Coleman;Mar, Brenton G.;Ebert, Benjamin L.
通讯作者:
Ebert, Benjamin L.
影响因子:
30.8
作者:
Corces, M. Ryan;Buenrostro, Jason D.;Wu, Beijing;Greenside, Peyton G.;Chan, Steven M.;Koenig, Julie L.;Snyder, Michael P.;Pritchard, Jonathan K.;Kundaje, Anshul;Gkeenleaf, William J.;Majeti, Ravindra;Chang, Howard Y.
通讯作者:
Chang, Howard Y.
影响因子:
10.1
作者:
Hirsch P;Tang R;Abermil N;Flandrin P;Moatti H;Favale F;Suner L;Lorre F;Marzac C;Fava F;Mamez AC;Lapusan S;Isnard F;Mohty M;Legrand O;Douay L;Bilhou-Nabera C;Delhommeau F
通讯作者:
Delhommeau F