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The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin

Open access
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.·2014·Cell

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 & 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 multi-platform classification, while correlated with tissue-of-origin, provides independent information for predicting clinical outcomes. All datasets are available for data-mining from a unified resource to support further biological discoveries and insights into novel therapeutic strategies.

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Metadata

Authors
Hoadley, K. A., Yau, C., Wolf, D. M., Cherniack, A. D., Tamborero, D., Ng, S., Leiserson, M. D. M., Niu, B., McLellan, M. D., Uzunangelov, V., Zhang, J., Kandoth, C., Akbani, R., Shen, H., Omberg, L., Chu, A., Margolin, A. A., van’t Veer, L. J., Lopez-Bigas, N., Laird, P. W., Raphael, B. J., Ding, L., Robertson, A. G., Byers, L. A., Mills, G. B., Weinstein, J. N., Van Waes, C., Chen, Z., Collisson, E. A., Benz, C. C., Perou, C. M., & Stuart, J. M.
Venue
Cell
Publisher
Elsevier BV
Published
2014-08
Volume
158
Issue
4
Pages
929-944
ISSN
0092-8674 (ISSN-L)
OpenAlex
W1967220865
Cited by
1,499
References
11
FWCI
47.04
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin. https://app.cochat.ai/papers/10.1016/j.cell.2014.06.049
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Hoadley, K. A., Yau, C., Wolf, D. M., Cherniack, A. D., Tamborero, D., Ng, S., Leiserson, M. D. M., Niu, B., McLellan, M. D., Uzunangelov, V., Zhang, J., Kandoth, C., Akbani, R., Shen, H., Omberg, L., Chu, A., Margolin, A. A., van’t Veer, L. J., Lopez-Bigas, N., . . . Stuart, J. M. (2014). Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin. Cell. https://doi.org/10.1016/j.cell.2014.06.049

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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