Research ExplorerPublicationsMolecular Evolution of Early-Onset Prostate Cancer Identifie...

Molecular Evolution of Early-Onset Prostate Cancer Identifies Molecular Risk Markers and Clinical Trajectories

Standard

Molecular Evolution of Early-Onset Prostate Cancer Identifies Molecular Risk Markers and Clinical Trajectories. / Gerhauser, Clarissa; Favero, Francesco; Risch, Thomas; Simon, Ronald; Feuerbach, Lars; Assenov, Yassen; Heckmann, Doreen; Sidiropoulos, Nikos; Waszak, Sebastian M; Hübschmann, Daniel; Urbanucci, Alfonso; Girma, Etsehiwot G; Kuryshev, Vladimir; Klimczak, Leszek J; Saini, Natalie; Stütz, Adrian M; Weichenhan, Dieter; Böttcher, Lisa-Marie; Toth, Reka; Hendriksen, Josephine D; Koop, Christina; Lutsik, Pavlo; Matzk, Sören; Warnatz, Hans-Jörg; Amstislavskiy, Vyacheslav; Feuerstein, Clarissa; Raeder, Benjamin; Bogatyrova, Olga; Schmitz, Eva-Maria; Hube-Magg, Claudia; Kluth, Martina; Huland, Hartwig; Graefen, Markus; Lawerenz, Chris; Henry, Gervaise H; Yamaguchi, Takafumi N; Malewska, Alicia; Meiners, Jan; Schilling, Daniela; Reisinger, Eva; Eils, Roland; Schlesner, Matthias; Strand, Douglas W; Bristow, Robert G; Boutros, Paul C; von Kalle, Christof; Gordenin, Dmitry; Sültmann, Holger; Brors, Benedikt; Sauter, Guido; Plass, Christoph; Yaspo, Marie-Laure; Korbel, Jan O; Schlomm, Thorsten; Weischenfeldt, Joachim.

In: CANCER CELL, Vol. 34, No. 6, 10.12.2018, p. 996-1011.e8.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Gerhauser, C, Favero, F, Risch, T, Simon, R, Feuerbach, L, Assenov, Y, Heckmann, D, Sidiropoulos, N, Waszak, SM, Hübschmann, D, Urbanucci, A, Girma, EG, Kuryshev, V, Klimczak, LJ, Saini, N, Stütz, AM, Weichenhan, D, Böttcher, L-M, Toth, R, Hendriksen, JD, Koop, C, Lutsik, P, Matzk, S, Warnatz, H-J, Amstislavskiy, V, Feuerstein, C, Raeder, B, Bogatyrova, O, Schmitz, E-M, Hube-Magg, C, Kluth, M, Huland, H, Graefen, M, Lawerenz, C, Henry, GH, Yamaguchi, TN, Malewska, A, Meiners, J, Schilling, D, Reisinger, E, Eils, R, Schlesner, M, Strand, DW, Bristow, RG, Boutros, PC, von Kalle, C, Gordenin, D, Sültmann, H, Brors, B, Sauter, G, Plass, C, Yaspo, M-L, Korbel, JO, Schlomm, T & Weischenfeldt, J 2018, 'Molecular Evolution of Early-Onset Prostate Cancer Identifies Molecular Risk Markers and Clinical Trajectories', CANCER CELL, vol. 34, no. 6, pp. 996-1011.e8. https://doi.org/10.1016/j.ccell.2018.10.016

APA

Gerhauser, C., Favero, F., Risch, T., Simon, R., Feuerbach, L., Assenov, Y., Heckmann, D., Sidiropoulos, N., Waszak, S. M., Hübschmann, D., Urbanucci, A., Girma, E. G., Kuryshev, V., Klimczak, L. J., Saini, N., Stütz, A. M., Weichenhan, D., Böttcher, L-M., Toth, R., ... Weischenfeldt, J. (2018). Molecular Evolution of Early-Onset Prostate Cancer Identifies Molecular Risk Markers and Clinical Trajectories. CANCER CELL, 34(6), 996-1011.e8. https://doi.org/10.1016/j.ccell.2018.10.016

Vancouver

Gerhauser C, Favero F, Risch T, Simon R, Feuerbach L, Assenov Y et al. Molecular Evolution of Early-Onset Prostate Cancer Identifies Molecular Risk Markers and Clinical Trajectories. CANCER CELL. 2018 Dec 10;34(6):996-1011.e8. https://doi.org/10.1016/j.ccell.2018.10.016

Bibtex

@article{578c5d949b4d425790ed1a1b67b42d9a,
title = "Molecular Evolution of Early-Onset Prostate Cancer Identifies Molecular Risk Markers and Clinical Trajectories",
abstract = "Identifying the earliest somatic changes in prostate cancer can give important insights into tumor evolution and aids in stratifying high- from low-risk disease. We integrated whole genome, transcriptome and methylome analysis of early-onset prostate cancers (diagnosis ≤55 years). Characterization across 292 prostate cancer genomes revealed age-related genomic alterations and a clock-like enzymatic-driven mutational process contributing to the earliest mutations in prostate cancer patients. Our integrative analysis identified four molecular subgroups, including a particularly aggressive subgroup with recurrent duplications associated with increased expression of ESRP1, which we validate in 12,000 tissue microarray tumors. Finally, we combined the patterns of molecular co-occurrence and risk-based subgroup information to deconvolve the molecular and clinical trajectories of prostate cancer from single patient samples.",
keywords = "Journal Article",
author = "Clarissa Gerhauser and Francesco Favero and Thomas Risch and Ronald Simon and Lars Feuerbach and Yassen Assenov and Doreen Heckmann and Nikos Sidiropoulos and Waszak, {Sebastian M} and Daniel H{\"u}bschmann and Alfonso Urbanucci and Girma, {Etsehiwot G} and Vladimir Kuryshev and Klimczak, {Leszek J} and Natalie Saini and St{\"u}tz, {Adrian M} and Dieter Weichenhan and Lisa-Marie B{\"o}ttcher and Reka Toth and Hendriksen, {Josephine D} and Christina Koop and Pavlo Lutsik and S{\"o}ren Matzk and Hans-J{\"o}rg Warnatz and Vyacheslav Amstislavskiy and Clarissa Feuerstein and Benjamin Raeder and Olga Bogatyrova and Eva-Maria Schmitz and Claudia Hube-Magg and Martina Kluth and Hartwig Huland and Markus Graefen and Chris Lawerenz and Henry, {Gervaise H} and Yamaguchi, {Takafumi N} and Alicia Malewska and Jan Meiners and Daniela Schilling and Eva Reisinger and Roland Eils and Matthias Schlesner and Strand, {Douglas W} and Bristow, {Robert G} and Boutros, {Paul C} and {von Kalle}, Christof and Dmitry Gordenin and Holger S{\"u}ltmann and Benedikt Brors and Guido Sauter and Christoph Plass and Marie-Laure Yaspo and Korbel, {Jan O} and Thorsten Schlomm and Joachim Weischenfeldt",
note = "Copyright {\textcopyright} 2018 Elsevier Inc. All rights reserved.",
year = "2018",
month = dec,
day = "10",
doi = "10.1016/j.ccell.2018.10.016",
language = "English",
volume = "34",
pages = "996--1011.e8",
journal = "CANCER CELL",
issn = "1535-6108",
publisher = "Cell Press",
number = "6",

}

RIS

TY - JOUR

T1 - Molecular Evolution of Early-Onset Prostate Cancer Identifies Molecular Risk Markers and Clinical Trajectories

AU - Gerhauser, Clarissa

AU - Favero, Francesco

AU - Risch, Thomas

AU - Simon, Ronald

AU - Feuerbach, Lars

AU - Assenov, Yassen

AU - Heckmann, Doreen

AU - Sidiropoulos, Nikos

AU - Waszak, Sebastian M

AU - Hübschmann, Daniel

AU - Urbanucci, Alfonso

AU - Girma, Etsehiwot G

AU - Kuryshev, Vladimir

AU - Klimczak, Leszek J

AU - Saini, Natalie

AU - Stütz, Adrian M

AU - Weichenhan, Dieter

AU - Böttcher, Lisa-Marie

AU - Toth, Reka

AU - Hendriksen, Josephine D

AU - Koop, Christina

AU - Lutsik, Pavlo

AU - Matzk, Sören

AU - Warnatz, Hans-Jörg

AU - Amstislavskiy, Vyacheslav

AU - Feuerstein, Clarissa

AU - Raeder, Benjamin

AU - Bogatyrova, Olga

AU - Schmitz, Eva-Maria

AU - Hube-Magg, Claudia

AU - Kluth, Martina

AU - Huland, Hartwig

AU - Graefen, Markus

AU - Lawerenz, Chris

AU - Henry, Gervaise H

AU - Yamaguchi, Takafumi N

AU - Malewska, Alicia

AU - Meiners, Jan

AU - Schilling, Daniela

AU - Reisinger, Eva

AU - Eils, Roland

AU - Schlesner, Matthias

AU - Strand, Douglas W

AU - Bristow, Robert G

AU - Boutros, Paul C

AU - von Kalle, Christof

AU - Gordenin, Dmitry

AU - Sültmann, Holger

AU - Brors, Benedikt

AU - Sauter, Guido

AU - Plass, Christoph

AU - Yaspo, Marie-Laure

AU - Korbel, Jan O

AU - Schlomm, Thorsten

AU - Weischenfeldt, Joachim

N1 - Copyright © 2018 Elsevier Inc. All rights reserved.

PY - 2018/12/10

Y1 - 2018/12/10

N2 - Identifying the earliest somatic changes in prostate cancer can give important insights into tumor evolution and aids in stratifying high- from low-risk disease. We integrated whole genome, transcriptome and methylome analysis of early-onset prostate cancers (diagnosis ≤55 years). Characterization across 292 prostate cancer genomes revealed age-related genomic alterations and a clock-like enzymatic-driven mutational process contributing to the earliest mutations in prostate cancer patients. Our integrative analysis identified four molecular subgroups, including a particularly aggressive subgroup with recurrent duplications associated with increased expression of ESRP1, which we validate in 12,000 tissue microarray tumors. Finally, we combined the patterns of molecular co-occurrence and risk-based subgroup information to deconvolve the molecular and clinical trajectories of prostate cancer from single patient samples.

AB - Identifying the earliest somatic changes in prostate cancer can give important insights into tumor evolution and aids in stratifying high- from low-risk disease. We integrated whole genome, transcriptome and methylome analysis of early-onset prostate cancers (diagnosis ≤55 years). Characterization across 292 prostate cancer genomes revealed age-related genomic alterations and a clock-like enzymatic-driven mutational process contributing to the earliest mutations in prostate cancer patients. Our integrative analysis identified four molecular subgroups, including a particularly aggressive subgroup with recurrent duplications associated with increased expression of ESRP1, which we validate in 12,000 tissue microarray tumors. Finally, we combined the patterns of molecular co-occurrence and risk-based subgroup information to deconvolve the molecular and clinical trajectories of prostate cancer from single patient samples.

KW - Journal Article

U2 - 10.1016/j.ccell.2018.10.016

DO - 10.1016/j.ccell.2018.10.016

M3 - SCORING: Journal article

C2 - 30537516

VL - 34

SP - 996-1011.e8

JO - CANCER CELL

JF - CANCER CELL

SN - 1535-6108

IS - 6

ER -