Literature DB >> 22460999

Genetic tests and genomic biomarkers: regulation, qualification and validation.

Giuseppe Novelli1, Cinzia Ciccacci, Paola Borgiani, Marisa Papaluca Amati, Eric Abadie.   

Abstract

The identification of new risk factors for specific diseases is an enduring theme in medical research. Advances in molecular biology, genetics, and computational biology are accelerating the pace of this work. The research seeks to increase our understanding of the causes of diseases, but there is also hope that the recognition of new risk factors will lead to improved methods for identifying persons who are in the early stages of, or at high risk for, the diseases of concern. Research has shown, however, that a genomic biomarker must have a much stronger association with the disease outcome than we ordinarily see in etiologic research if it is to provide a basis for early diagnosis or prediction in individual patients. However, even if the literature contains ~150,000 reports of disease-associated molecular markers, there are still very few validated biomarkers of proven and robust clinical utility. At present there is no established, standardized means for validating the association between a marker (or set of markers) and clinical outcomes. The Regulatory Authorities have undertaken a number of initiatives in order to enhance the use of biomarkers in drug development, to promote a more informed drug development and maximise the benefit of innovative medicines to the patients.

Entities:  

Year:  2008        PMID: 22460999      PMCID: PMC2781197     

Source DB:  PubMed          Journal:  Clin Cases Miner Bone Metab        ISSN: 1724-8914


  34 in total

Review 1.  Clinical genomics data standards for pharmacogenetics and pharmacogenomics.

Authors:  Amnon Shabo
Journal:  Pharmacogenomics       Date:  2006-03       Impact factor: 2.533

2.  Adjuvant trastuzumab for breast cancer: assessing HER2/neu status incurs more costs for treatment.

Authors:  Malcolm R Kell; Colm P Power
Journal:  BMJ       Date:  2005-11-19

3.  Surrogate endpoints in clinical trials: definition and operational criteria.

Authors:  R L Prentice
Journal:  Stat Med       Date:  1989-04       Impact factor: 2.373

Review 4.  Prognostic and predictive value of HER2/neu oncogene in breast cancer.

Authors:  Shahla Masood; Marilyn M Bui
Journal:  Microsc Res Tech       Date:  2002-10-15       Impact factor: 2.769

Review 5.  Pharmacogenetics and irinotecan therapy.

Authors:  Kristine K Hahn; James J Wolff; Jill M Kolesar
Journal:  Am J Health Syst Pharm       Date:  2006-11-15       Impact factor: 2.637

Review 6.  A public health approach to pharmacogenomics and gene-based diagnostic tests.

Authors:  Robert L Davis; Muin J Khoury
Journal:  Pharmacogenomics       Date:  2006-04       Impact factor: 2.533

Review 7.  Cetuximab, its clinical use and future perspectives.

Authors:  Fernando Rivera; Maria Eugenia Vega-Villegas; Marta Francisca López-Brea
Journal:  Anticancer Drugs       Date:  2008-02       Impact factor: 2.248

Review 8.  The biology of epidermal growth factor receptor and its value as a prognostic/predictive factor.

Authors:  A P Dei Tos
Journal:  Int J Biol Markers       Date:  2007 Jan-Mar       Impact factor: 2.659

9.  Effects of dutasteride on the expression of genes related to androgen metabolism and related pathway in human prostate cancer cell lines.

Authors:  Michela Biancolella; Alessandra Valentini; Daniela Minella; Lucia Vecchione; Franca D'Amico; Giovanni Chillemi; Paolo Gravina; Susana Bueno; Gianluca Prosperini; Alessandro Desideri; Giorgio Federici; Sergio Bernardini; Giuseppe Novelli
Journal:  Invest New Drugs       Date:  2007-07-18       Impact factor: 3.850

Review 10.  From the genome to the proteome--biomarkers in colorectal cancer.

Authors:  Jens K Habermann; Franz G Bader; Christian Franke; Kaja Zimmermann; Timo Gemoll; Britta Fritzsche; Thomas Ried; Gert Auer; Hans-Peter Bruch; Uwe J Roblick
Journal:  Langenbecks Arch Surg       Date:  2007-10-16       Impact factor: 3.445

View more
  17 in total

1.  Statistical analysis of multi-dimensional, temporal gene expression of stem cells to elucidate colony size-dependent neural differentiation.

Authors:  Ramila Joshi; Brendan Fuller; Jun Li; Hossein Tavana
Journal:  Mol Omics       Date:  2018-04-16

2.  Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants.

Authors:  Shara I Feld; Kaitlin M Woo; Roxana Alexandridis; Yirong Wu; Jie Liu; Peggy Peissig; Adedayo A Onitilo; Jennifer Cox; C David Page; Elizabeth S Burnside
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

Review 3.  Molecular biomarkers for grass pollen immunotherapy.

Authors:  Florin-Dan Popescu
Journal:  World J Methodol       Date:  2014-03-26

Review 4.  Genomic biomarkers of SUDEP in brain and heart.

Authors:  Edward Glasscock
Journal:  Epilepsy Behav       Date:  2013-10-17       Impact factor: 2.937

5.  204th ENMC International Workshop on Biomarkers in Duchenne Muscular Dystrophy 24-26 January 2014, Naarden, The Netherlands.

Authors:  Alessandra Ferlini; Kevin M Flanigan; Hanns Lochmuller; Francesco Muntoni; Peter A C 't Hoen; Elizabeth McNally
Journal:  Neuromuscul Disord       Date:  2014-09-11       Impact factor: 4.296

Review 6.  Human disease biomarker panels through systems biology.

Authors:  Bradley J Smith; Licia C Silva-Costa; Daniel Martins-de-Souza
Journal:  Biophys Rev       Date:  2021-10-13

7.  Network analysis identifies SOD2 mRNA as a potential biomarker for Parkinson's disease.

Authors:  Jose A Santiago; Clemens R Scherzer; Judith A Potashkin
Journal:  PLoS One       Date:  2014-10-03       Impact factor: 3.240

Review 8.  Emerging proteomics biomarkers and prostate cancer burden in Africa.

Authors:  Henry A Adeola; Jonathan M Blackburn; Timothy R Rebbeck; Luiz F Zerbini
Journal:  Oncotarget       Date:  2017-06-06

Review 9.  Molecular Alterations in Gastric Intestinal Metaplasia.

Authors:  Paulius Jonaitis; Limas Kupcinskas; Juozas Kupcinskas
Journal:  Int J Mol Sci       Date:  2021-05-28       Impact factor: 5.923

10.  An Eighteen-Gene Classifier Predicts Locoregional Recurrence in Post-Mastectomy Breast Cancer Patients.

Authors:  Skye H Cheng; Chen-Fang Horng; Tzu-Ting Huang; Erich S Huang; Mei-Hua Tsou; Li-Sun Shi; Ben-Long Yu; Chii-Ming Chen; Andrew T Huang
Journal:  EBioMedicine       Date:  2016-02-16       Impact factor: 8.143

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.