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

Anirban P. Mitra, Richard J. Cote

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)849-852
Number of pages4
JournalExpert review of anticancer therapy
Volume11
Issue number6
DOIs
StatePublished - Jun 2011

Keywords

  • gene-expression profiling
  • neoadjuvant chemotherapy
  • node-positive disease
  • transitional cell carcinoma

ASJC Scopus subject areas

  • Pharmacology (medical)
  • Oncology

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