Abstract
Recent genomic analyses of pathologically defined tumor types identify "within-a-tissue" disease subtypes. However, the extent to which genomic signatures are shared across tissues is still unclear. We performed an integrative analysis using five genome-wide platforms and one proteomic platform on 3,527 specimens from 12 cancer types, revealing a unified classification into 11 major subtypes. Five subtypes were nearly identical to their tissue-of-origin counterparts, but several distinct cancer types were found to converge into common subtypes. Lung squamous, head and neck, and a subset of bladder cancers coalesced into one subtype typified by TP53 alterations, TP63 amplifications, and high expression of immune and proliferation pathway genes. Of note, bladder cancers split into three pan-cancer subtypes. The multiplatform classification, while correlated with tissue-of-origin, provides independent information for predicting clinical outcomes. All data sets are available for data-mining from a unified resource to support further biological discoveries and insights into novel therapeutic strategies.
| Original language | English |
|---|---|
| Journal | Cell |
| Volume | 158 |
| Issue number | 4 |
| Pages (from-to) | 929-44 |
| Number of pages | 16 |
| ISSN | 0092-8674 |
| DOIs | |
| Publication status | Published - 14. Aug 2014 |
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Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin. / Hoadley, Katherine A; Yau, Christina; Wolf, Denise M; Cherniack, Andrew D; Tamborero, David; Ng, Sam; Leiserson, Max D M; Niu, Beifang; McLellan, Michael D; Uzunangelov, Vladislav; Zhang, Jiashan; Kandoth, Cyriac; Akbani, Rehan; Shen, Hui; Omberg, Larsson; Chu, Andy; Margolin, Adam A; Van't Veer, Laura J; Lopez-Bigas, Nuria; Laird, Peter W; Raphael, Benjamin J; Ding, Li; Robertson, A Gordon; Byers, Lauren A; Mills, Gordon B; Weinstein, John N; Van Waes, Carter; Chen, Zhong; Collisson, Eric A; Benz, Christopher C; Perou, Charles M; Stuart, Joshua M; Cancer Genome Atlas Research Network.
In: Cell, Vol. 158, No. 4, 14.08.2014, p. 929-44.Research output: Contribution to journal › Journal article › Research › peer-review
TY - JOUR
T1 - Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin
AU - Hoadley, Katherine A
AU - Yau, Christina
AU - Wolf, Denise M
AU - Cherniack, Andrew D
AU - Tamborero, David
AU - Ng, Sam
AU - Leiserson, Max D M
AU - Niu, Beifang
AU - McLellan, Michael D
AU - Uzunangelov, Vladislav
AU - Zhang, Jiashan
AU - Kandoth, Cyriac
AU - Akbani, Rehan
AU - Shen, Hui
AU - Omberg, Larsson
AU - Chu, Andy
AU - Margolin, Adam A
AU - Van't Veer, Laura J
AU - Lopez-Bigas, Nuria
AU - Laird, Peter W
AU - Raphael, Benjamin J
AU - Ding, Li
AU - Robertson, A Gordon
AU - Byers, Lauren A
AU - Mills, Gordon B
AU - Weinstein, John N
AU - Van Waes, Carter
AU - Chen, Zhong
AU - Collisson, Eric A
AU - Benz, Christopher C
AU - Perou, Charles M
AU - Stuart, Joshua M
AU - Cancer Genome Atlas Research Network
AU - Vandin, Fabio
N1 - Copyright © 2014 Elsevier Inc. All rights reserved.
PY - 2014/8/14
Y1 - 2014/8/14
N2 - Recent genomic analyses of pathologically defined tumor types identify "within-a-tissue" disease subtypes. However, the extent to which genomic signatures are shared across tissues is still unclear. We performed an integrative analysis using five genome-wide platforms and one proteomic platform on 3,527 specimens from 12 cancer types, revealing a unified classification into 11 major subtypes. Five subtypes were nearly identical to their tissue-of-origin counterparts, but several distinct cancer types were found to converge into common subtypes. Lung squamous, head and neck, and a subset of bladder cancers coalesced into one subtype typified by TP53 alterations, TP63 amplifications, and high expression of immune and proliferation pathway genes. Of note, bladder cancers split into three pan-cancer subtypes. The multiplatform classification, while correlated with tissue-of-origin, provides independent information for predicting clinical outcomes. All data sets are available for data-mining from a unified resource to support further biological discoveries and insights into novel therapeutic strategies.
AB - Recent genomic analyses of pathologically defined tumor types identify "within-a-tissue" disease subtypes. However, the extent to which genomic signatures are shared across tissues is still unclear. We performed an integrative analysis using five genome-wide platforms and one proteomic platform on 3,527 specimens from 12 cancer types, revealing a unified classification into 11 major subtypes. Five subtypes were nearly identical to their tissue-of-origin counterparts, but several distinct cancer types were found to converge into common subtypes. Lung squamous, head and neck, and a subset of bladder cancers coalesced into one subtype typified by TP53 alterations, TP63 amplifications, and high expression of immune and proliferation pathway genes. Of note, bladder cancers split into three pan-cancer subtypes. The multiplatform classification, while correlated with tissue-of-origin, provides independent information for predicting clinical outcomes. All data sets are available for data-mining from a unified resource to support further biological discoveries and insights into novel therapeutic strategies.
U2 - 10.1016/j.cell.2014.06.049
DO - 10.1016/j.cell.2014.06.049
M3 - Journal article
VL - 158
SP - 929
EP - 944
JO - Cell
JF - Cell
SN - 0092-8674
IS - 4
ER -