In:
International Journal of Genomics, Hindawi Limited, Vol. 2016 ( 2016), p. 1-7
Abstract:
It is estimated that 10 to 20% of all genes in the human genome encode cell surface proteins and due to their subcellular localization these proteins represent excellent targets for cancer diagnosis and therapeutics. Therefore, a precise characterization of the surfaceome set in different types of tumor is needed. Using TCGA data from 15 different tumor types and a new method to identify cancer genes, the S -score, we identified several potential therapeutic targets within the surfaceome set. This allowed us to expand a previous analysis from us and provided a clear characterization of the human surfaceome in the tumor landscape. Moreover, we present evidence that a three-gene set—WNT5A, CNGA2, and IGSF9B—can be used as a signature associated with shorter survival in breast cancer patients. The data made available here will help the community to develop more efficient diagnostic and therapeutic tools for a variety of tumor types.
Type of Medium:
Online Resource
ISSN:
2314-436X
,
2314-4378
DOI:
10.1155/2016/8346198
Language:
English
Publisher:
Hindawi Limited
Publication Date:
2016
detail.hit.zdb_id:
2711883-6
SSG:
12
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