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Intratumoral heterogeneity and clonal evolution in liver cancer

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Intratumoral heterogeneity and clonal evolution in liver cancer. / Losic, Bojan; Craig, Amanda J; Villacorta-Martin, Carlos; Martins-Filho, Sebastiao N; Akers, Nicholas; Chen, Xintong; Ahsen, Mehmet E; von Felden, Johann; Labgaa, Ismail; DʹAvola, Delia; Allette, Kimaada; Lira, Sergio A; Furtado, Glaucia C; Garcia-Lezana, Teresa; Restrepo, Paula; Stueck, Ashley; Ward, Stephen C; Fiel, Maria I; Hiotis, Spiros P; Gunasekaran, Ganesh; Sia, Daniela; Schadt, Eric E; Sebra, Robert; Schwartz, Myron; Llovet, Josep M; Thung, Swan; Stolovitzky, Gustavo; Villanueva, Augusto.

in: NAT COMMUN, Jahrgang 11, Nr. 1, 15.01.2020, S. 291.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Losic, B, Craig, AJ, Villacorta-Martin, C, Martins-Filho, SN, Akers, N, Chen, X, Ahsen, ME, von Felden, J, Labgaa, I, DʹAvola, D, Allette, K, Lira, SA, Furtado, GC, Garcia-Lezana, T, Restrepo, P, Stueck, A, Ward, SC, Fiel, MI, Hiotis, SP, Gunasekaran, G, Sia, D, Schadt, EE, Sebra, R, Schwartz, M, Llovet, JM, Thung, S, Stolovitzky, G & Villanueva, A 2020, 'Intratumoral heterogeneity and clonal evolution in liver cancer', NAT COMMUN, Jg. 11, Nr. 1, S. 291. https://doi.org/10.1038/s41467-019-14050-z

APA

Losic, B., Craig, A. J., Villacorta-Martin, C., Martins-Filho, S. N., Akers, N., Chen, X., Ahsen, M. E., von Felden, J., Labgaa, I., DʹAvola, D., Allette, K., Lira, S. A., Furtado, G. C., Garcia-Lezana, T., Restrepo, P., Stueck, A., Ward, S. C., Fiel, M. I., Hiotis, S. P., ... Villanueva, A. (2020). Intratumoral heterogeneity and clonal evolution in liver cancer. NAT COMMUN, 11(1), 291. https://doi.org/10.1038/s41467-019-14050-z

Vancouver

Losic B, Craig AJ, Villacorta-Martin C, Martins-Filho SN, Akers N, Chen X et al. Intratumoral heterogeneity and clonal evolution in liver cancer. NAT COMMUN. 2020 Jan 15;11(1):291. https://doi.org/10.1038/s41467-019-14050-z

Bibtex

@article{88c0d289f9f049ba8034adbc542ff6c5,
title = "Intratumoral heterogeneity and clonal evolution in liver cancer",
abstract = "Clonal evolution of a tumor ecosystem depends on different selection pressures that are principally immune and treatment mediated. We integrate RNA-seq, DNA sequencing, TCR-seq and SNP array data across multiple regions of liver cancer specimens to map spatio-temporal interactions between cancer and immune cells. We investigate how these interactions reflect intra-tumor heterogeneity (ITH) by correlating regional neo-epitope and viral antigen burden with the regional adaptive immune response. Regional expression of passenger mutations dominantly recruits adaptive responses as opposed to hepatitis B virus and cancer-testis antigens. We detect different clonal expansion of the adaptive immune system in distant regions of the same tumor. An ITH-based gene signature improves single-biopsy patient survival predictions and an expression survey of 38,553 single cells across 7 regions of 2 patients further reveals heterogeneity in liver cancer. These data quantify transcriptomic ITH and how the different components of the HCC ecosystem interact during cancer evolution.",
author = "Bojan Losic and Craig, {Amanda J} and Carlos Villacorta-Martin and Martins-Filho, {Sebastiao N} and Nicholas Akers and Xintong Chen and Ahsen, {Mehmet E} and {von Felden}, Johann and Ismail Labgaa and Delia DʹAvola and Kimaada Allette and Lira, {Sergio A} and Furtado, {Glaucia C} and Teresa Garcia-Lezana and Paula Restrepo and Ashley Stueck and Ward, {Stephen C} and Fiel, {Maria I} and Hiotis, {Spiros P} and Ganesh Gunasekaran and Daniela Sia and Schadt, {Eric E} and Robert Sebra and Myron Schwartz and Llovet, {Josep M} and Swan Thung and Gustavo Stolovitzky and Augusto Villanueva",
year = "2020",
month = jan,
day = "15",
doi = "10.1038/s41467-019-14050-z",
language = "English",
volume = "11",
pages = "291",
journal = "NAT COMMUN",
issn = "2041-1723",
publisher = "NATURE PUBLISHING GROUP",
number = "1",

}

RIS

TY - JOUR

T1 - Intratumoral heterogeneity and clonal evolution in liver cancer

AU - Losic, Bojan

AU - Craig, Amanda J

AU - Villacorta-Martin, Carlos

AU - Martins-Filho, Sebastiao N

AU - Akers, Nicholas

AU - Chen, Xintong

AU - Ahsen, Mehmet E

AU - von Felden, Johann

AU - Labgaa, Ismail

AU - DʹAvola, Delia

AU - Allette, Kimaada

AU - Lira, Sergio A

AU - Furtado, Glaucia C

AU - Garcia-Lezana, Teresa

AU - Restrepo, Paula

AU - Stueck, Ashley

AU - Ward, Stephen C

AU - Fiel, Maria I

AU - Hiotis, Spiros P

AU - Gunasekaran, Ganesh

AU - Sia, Daniela

AU - Schadt, Eric E

AU - Sebra, Robert

AU - Schwartz, Myron

AU - Llovet, Josep M

AU - Thung, Swan

AU - Stolovitzky, Gustavo

AU - Villanueva, Augusto

PY - 2020/1/15

Y1 - 2020/1/15

N2 - Clonal evolution of a tumor ecosystem depends on different selection pressures that are principally immune and treatment mediated. We integrate RNA-seq, DNA sequencing, TCR-seq and SNP array data across multiple regions of liver cancer specimens to map spatio-temporal interactions between cancer and immune cells. We investigate how these interactions reflect intra-tumor heterogeneity (ITH) by correlating regional neo-epitope and viral antigen burden with the regional adaptive immune response. Regional expression of passenger mutations dominantly recruits adaptive responses as opposed to hepatitis B virus and cancer-testis antigens. We detect different clonal expansion of the adaptive immune system in distant regions of the same tumor. An ITH-based gene signature improves single-biopsy patient survival predictions and an expression survey of 38,553 single cells across 7 regions of 2 patients further reveals heterogeneity in liver cancer. These data quantify transcriptomic ITH and how the different components of the HCC ecosystem interact during cancer evolution.

AB - Clonal evolution of a tumor ecosystem depends on different selection pressures that are principally immune and treatment mediated. We integrate RNA-seq, DNA sequencing, TCR-seq and SNP array data across multiple regions of liver cancer specimens to map spatio-temporal interactions between cancer and immune cells. We investigate how these interactions reflect intra-tumor heterogeneity (ITH) by correlating regional neo-epitope and viral antigen burden with the regional adaptive immune response. Regional expression of passenger mutations dominantly recruits adaptive responses as opposed to hepatitis B virus and cancer-testis antigens. We detect different clonal expansion of the adaptive immune system in distant regions of the same tumor. An ITH-based gene signature improves single-biopsy patient survival predictions and an expression survey of 38,553 single cells across 7 regions of 2 patients further reveals heterogeneity in liver cancer. These data quantify transcriptomic ITH and how the different components of the HCC ecosystem interact during cancer evolution.

U2 - 10.1038/s41467-019-14050-z

DO - 10.1038/s41467-019-14050-z

M3 - SCORING: Journal article

C2 - 31941899

VL - 11

SP - 291

JO - NAT COMMUN

JF - NAT COMMUN

SN - 2041-1723

IS - 1

ER -