Technology Insight: Will systems pathology replace the pathologist?

Olivier Saidi, Carlos Cordon-Cardo, Jose Costa

Research output: Contribution to journalReview articlepeer-review

40 Scopus citations

Abstract

By using systems pathology, it might be possible to provide a predictive, personalized therapeutic recommendation for patients with prostate cancer. Systems pathology integrates quantitative data and information from many sources to generate a reliable prediction of the expected natural course of the disease and response to different therapeutic options. In other words, through the integration of relatively large data sets and the use of knowledge engineering, systems pathology aims at predicting the future behavior of tumors and their interaction with the host. In this Review, we introduce the methods used in systems pathology and summarize a recent study providing the first evidence of a concept for this strategy. The results show that systems pathology can provide a personalized prediction of the risk of recurrence after prostatectomy for cancer.

Original languageEnglish
Pages (from-to)39-45
Number of pages7
JournalNature Clinical Practice Urology
Volume4
Issue number1
DOIs
StatePublished - Jan 2007
Externally publishedYes

Keywords

  • Pathology automation
  • Predictive medicine
  • Prostate cancer
  • Systems pathology

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