Literature DB >> 21707281

Molecular signatures that predict nodal metastasis in bladder cancer: does the primary tumor tell tales?

Anirban P Mitra1, Richard J Cote.   

Abstract

Evaluation of: Smith SC, Baras AS, Dancik G et al. A 20-gene model for molecular nodal staging of bladder cancer: development and prospective assessment. Lancet Oncol. 12, 137-143 (2011). Accurate identification of nodal status in patients with bladder cancer is important in determining their prognosis and administration of perioperative chemotherapy. In this article, we review the study by Smith and colleagues, documenting the identification of a 20-gene model that can predict nodal stage in patients with bladder cancer based on the profiles of their primary tumors. The gene-expression model generated in this study was able to identify node-positive disease based on tumor tissues obtained from patients in a Phase III bladder cancer trial cohort. The model was able to predict nodal status independent of standard clinicopathologic prognostic criteria. This study adds the agnostic profiling dimension to prior investigations that have attempted to define molecular signatures that predict nodal metastasis in bladder cancer patients based on the primary tumors' gene-expression profiles.

Entities:  

Year:  2011        PMID: 21707281     DOI: 10.1586/era.11.60

Source DB:  PubMed          Journal:  Expert Rev Anticancer Ther        ISSN: 1473-7140            Impact factor:   4.512


  2 in total

Review 1.  Molecular substratification of bladder cancer: moving towards individualized patient management.

Authors:  Anirban P Mitra
Journal:  Ther Adv Urol       Date:  2016-03-28

2.  A three-protein signature and clinical outcome in esophageal squamous cell carcinoma.

Authors:  Hui-Hui Cao; Shi-Yi Zhang; Jin-Hui Shen; Zhi-Yong Wu; Jian-Yi Wu; Shao-Hong Wang; En-Min Li; Li-Yan Xu
Journal:  Oncotarget       Date:  2015-03-10
  2 in total

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