Unraveling the clonal hierarchy of somatic genomic aberrations

被引:76
作者
Prandi, Davide [1 ]
Baca, Sylvan C. [2 ,3 ,4 ]
Romanel, Alessandro [1 ]
Barbieri, Christopher E. [5 ,6 ,8 ,9 ]
Mosquera, Juan-Miguel [6 ,8 ,9 ]
Fontugne, Jacqueline [6 ]
Beltran, Himisha [7 ,8 ,9 ]
Sboner, Andrea [6 ,8 ,9 ,10 ]
Garraway, Levi A. [2 ,3 ,4 ]
Rubin, Mark A. [5 ,6 ,8 ,9 ]
Demichelis, Francesca [1 ,8 ,9 ,10 ]
机构
[1] Univ Trento, Ctr Integrat Biol, I-38123 Povo, Italy
[2] Broad Inst MIT & Harvard, Cambridge, MA 02141 USA
[3] Dana Farber Canc Inst, Boston, MA 02215 USA
[4] Harvard Univ, Sch Med, Boston, MA 02115 USA
[5] Cornell Univ, Weill Med Coll, Dept Urol, New York, NY 10065 USA
[6] Cornell Univ, Weill Med Coll, Dept Pathol & Lab Med, New York, NY 10065 USA
[7] Cornell Univ, Weill Med Coll, Dept Med, Div Hematol & Oncol, New York, NY 10065 USA
[8] Cornell Univ, Weill Med Coll, Inst Precis Med, New York, NY 10065 USA
[9] New York Presbyterian Hosp, New York, NY 10065 USA
[10] Cornell Univ, Weill Med Coll, HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsa, New York, NY 10065 USA
来源
GENOME BIOLOGY | 2014年 / 15卷 / 08期
关键词
COPY-NUMBER ALTERATIONS; STATISTICAL APPROACH; TUMOR SAMPLES; CANCER; LUNG; IDENTIFICATION; HETEROGENEITY; EXPRESSION; MUTATIONS; GENES;
D O I
10.1186/s13059-014-0439-6
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Defining the chronology of molecular alterations may identify milestones in carcinogenesis. To unravel the temporal evolution of aberrations from clinical tumors, we developed CLONET, which upon estimation of tumor admixture and ploidy infers the clonal hierarchy of genomic aberrations. Comparative analysis across 100 sequenced genomes from prostate, melanoma, and lung cancers established diverse evolutionary hierarchies, demonstrating the early disruption of tumor-specific pathways. The analyses highlight the diversity of clonal evolution within and across tumor types that might be informative for risk stratification and patient selection for targeted therapies. CLONET addresses heterogeneous clinical samples seen in the setting of precision medicine.
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页数:16
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