Literature DB >> 19544549

Systems pathology: a paradigm shift in the practice of diagnostic and predictive pathology.

Michael J Donovan1, Jose Costa, Carlos Cordon-Cardo.   

Abstract

Diagnostic tumor pathology in the context of personalized medicine has progressed from an interpretive, subjective science to a more objective, evidence-based practice. This has resulted in the development of several tissue-based, molecular-driven tests that provide information regarding prognosis and response to therapy. The challenge, however, for both the pathologist and the treating physician is how best to effectively integrate this data into a comprehensive treatment plan that includes a patient-specific risk assessment. To address this need, the authors developed a systems pathology approach to the practice of clinical molecular medicine through technical advances in object-oriented image analysis, and phenotyping at the microanatomical level using deparaffinized tissue section and quantitative biomarker multiplexing. With support vector regression for censored data, they have been able to integrate complex information and provide a patient-specific risk profile based on the clinical endpoint under investigation. Cancer 2009;115(13 suppl):3078-84. (c) 2009 American Cancer Society.

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Year:  2009        PMID: 19544549     DOI: 10.1002/cncr.24353

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  8 in total

Review 1.  Systems pathology: a critical review.

Authors:  Jose Costa
Journal:  Mol Oncol       Date:  2011-11-27       Impact factor: 6.603

2.  Early growth response 1 and fatty acid synthase expression is altered in tumor adjacent prostate tissue and indicates field cancerization.

Authors:  Anna C Jones; Kristina A Trujillo; Genevieve K Phillips; Trisha M Fleet; Jaclyn K Murton; Virginia Severns; Satyan K Shah; Michael S Davis; Anthony Y Smith; Jeffrey K Griffith; Edgar G Fischer; Marco Bisoffi
Journal:  Prostate       Date:  2011-11-29       Impact factor: 4.104

Review 3.  The primary glomerulonephritides: a systems biology approach.

Authors:  Song Jiang; Peter Y Chuang; Zhi-Hong Liu; John C He
Journal:  Nat Rev Nephrol       Date:  2013-07-16       Impact factor: 28.314

4.  Existing data sources for clinical epidemiology: the Danish National Pathology Registry and Data Bank.

Authors:  Rune Erichsen; Timothy L Lash; Stephen J Hamilton-Dutoit; Beth Bjerregaard; Mogens Vyberg; Lars Pedersen
Journal:  Clin Epidemiol       Date:  2010-08-09       Impact factor: 4.790

5.  Multivariate meta-analysis of proteomics data from human prostate and colon tumours.

Authors:  Lina Hultin Rosenberg; Bo Franzén; Gert Auer; Janne Lehtiö; Jenny Forshed
Journal:  BMC Bioinformatics       Date:  2010-09-17       Impact factor: 3.169

6.  The pathology informatics curriculum wiki: Harnessing the power of user-generated content.

Authors:  Ji Yeon Kim; Thomas M Gudewicz; Anand S Dighe; John R Gilbertson
Journal:  J Pathol Inform       Date:  2010-07-13

7.  Younger age is an independent predictor for poor survival in patients with signet ring prostate carcinoma.

Authors:  Jue Wang; Fen Wei Wang; George P Hemstreet
Journal:  Prostate Cancer       Date:  2010-07-20

8.  Complex Systems Biology Approach in Connecting PI3K-Akt and NF-κB Pathways in Prostate Cancer.

Authors:  Eswar Shankar; Michael C Weis; Jayant Avva; Sanjeev Shukla; Meenakshi Shukla; Sree N Sreenath; Sanjay Gupta
Journal:  Cells       Date:  2019-02-26       Impact factor: 6.600

  8 in total

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