Molecular classification of green tea catechin-sensitive and green tea catechin-resistant prostate cancer in the TRAMP mice model by quantitative real-time PCR gene profiling

Maurizio Scaltriti, Lucia Belloni, Andrea Caporali, Pierpaola Davalli, Daniel Remondini, Federica Rizzi, Serenella Astancolle, Arnaldo Corti, Saverio Bettuzzi

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

We previously found that human prostate cancer (CaP) progression is accompanied by differential expression of a panel of 8 informative genes, some of which are metabolically related. Gene profiling focused on this 8-gene pack by northern blot analysis in combination with standard clinical information provided reliable prognostic prediction of human CaP. For a better insight into the potential of this 8-gene signature in tumor detection/classification and therapeutic response, we determined, by qPCR, the expression of these informative genes in the TRAMP mice model of CaP progression. The 8-genes signature resulted effective in discriminating, by linear discriminant analysis (LDA), the prostate of wild type mice from transgenic TRAMP mice developing CaP (P
Original languageEnglish
Pages (from-to)1047-53
Number of pages7
JournalCarcinogenesis: Integrative Cancer Research
Volume27
Issue number5
DOIs
Publication statusPublished - May 2006

Keywords / Materials (for Non-textual outputs)

  • Animals
  • Anticarcinogenic Agents
  • Catechin
  • DNA Primers
  • Disease Models, Animal
  • Gene Expression Profiling
  • Male
  • Mice
  • Mice, Inbred C57BL
  • Mice, Transgenic
  • Prognosis
  • Prostatic Neoplasms
  • Reverse Transcriptase Polymerase Chain Reaction
  • Tea

Fingerprint

Dive into the research topics of 'Molecular classification of green tea catechin-sensitive and green tea catechin-resistant prostate cancer in the TRAMP mice model by quantitative real-time PCR gene profiling'. Together they form a unique fingerprint.

Cite this