Literature DB >> 18566792

[Molecular pathological identification of predictive biomarkers: a new task for diagnostic pathology].

K W Schmid1.   

Abstract

The clinical management of cancer patients is still based to a great extent on the histological staging, grading, and tumor typing performed by the pathologist. As a result part of the patients are subjected to unnecessary treatment regimens with high rates of side effects and no advantages while another part of the patients could benefit from (adjuvant) therapies they would not routinely receive based on their tumor staging/grading. This situation has led to a search for so-called predictive biomarkers, which would allow better assessment of the clinical course, probability of metastases, and the efficacy of the treatment method, thus making it possible to individualize treatment for each cancer patient.

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Year:  2008        PMID: 18566792     DOI: 10.1007/s00120-008-1745-y

Source DB:  PubMed          Journal:  Urologe A        ISSN: 0340-2592            Impact factor:   0.639


  13 in total

Review 1.  The US Food and Drug Administration perspective on cancer biomarker development.

Authors:  Steven Gutman; Larry G Kessler
Journal:  Nat Rev Cancer       Date:  2006-07       Impact factor: 60.716

2.  Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multicenter independent validation series.

Authors:  Christine Desmedt; Fanny Piette; Sherene Loi; Yixin Wang; Françoise Lallemand; Benjamin Haibe-Kains; Giuseppe Viale; Mauro Delorenzi; Yi Zhang; Mahasti Saghatchian d'Assignies; Jonas Bergh; Rosette Lidereau; Paul Ellis; Adrian L Harris; Jan G M Klijn; John A Foekens; Fatima Cardoso; Martine J Piccart; Marc Buyse; Christos Sotiriou
Journal:  Clin Cancer Res       Date:  2007-06-01       Impact factor: 12.531

Review 3.  Using high-throughput SNP technologies to study cancer.

Authors:  L J Engle; C L Simpson; J E Landers
Journal:  Oncogene       Date:  2006-03-13       Impact factor: 9.867

Review 4.  SNP genotyping: technologies and biomedical applications.

Authors:  Sobin Kim; Ashish Misra
Journal:  Annu Rev Biomed Eng       Date:  2007       Impact factor: 9.590

5.  Concordance among gene-expression-based predictors for breast cancer.

Authors:  Cheng Fan; Daniel S Oh; Lodewyk Wessels; Britta Weigelt; Dimitry S A Nuyten; Andrew B Nobel; Laura J van't Veer; Charles M Perou
Journal:  N Engl J Med       Date:  2006-08-10       Impact factor: 91.245

6.  Workshop on cancer biometrics: identifying biomarkers and surrogates of cancer in patients: a meeting held at the Masur Auditorium, National Institutes of Health.

Authors:  Michael T Lotze; Ena Wang; Francesco M Marincola; Nabil Hanna; Peter J Bugelski; Christine A Burns; George Coukos; Nitin Damle; Tony E Godfrey; W Martin Howell; Monica C Panelli; Michael A Perricone; Emanuel F Petricoin; Guido Sauter; Carmen Scheibenbogen; Steven C Shivers; D Lansing Taylor; John N Weinstein; Theresa L Whiteside
Journal:  J Immunother       Date:  2005 Mar-Apr       Impact factor: 4.456

7.  Gene expression profiling predicts clinical outcome of breast cancer.

Authors:  Laura J van 't Veer; Hongyue Dai; Marc J van de Vijver; Yudong D He; Augustinus A M Hart; Mao Mao; Hans L Peterse; Karin van der Kooy; Matthew J Marton; Anke T Witteveen; George J Schreiber; Ron M Kerkhoven; Chris Roberts; Peter S Linsley; René Bernards; Stephen H Friend
Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

8.  The T393C polymorphism of the G alpha s gene (GNAS1) is a novel prognostic marker in bladder cancer.

Authors:  Ulrich H Frey; Andreas Eisenhardt; Gerd Lümmen; Herbert Rübben; Karl-Heinz Jöckel; Kurt W Schmid; Winfried Siffert
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-04       Impact factor: 4.254

Review 9.  Biomarkers for prostate cancer.

Authors:  Eric Schiffer
Journal:  World J Urol       Date:  2007-08-10       Impact factor: 4.226

Review 10.  Proteomics as a method for early detection of cancer: a review of proteomics, exhaled breath condensate, and lung cancer screening.

Authors:  Dean H Conrad; Jesse Goyette; Paul S Thomas
Journal:  J Gen Intern Med       Date:  2008-01       Impact factor: 5.128

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