NDLI: Validation of proposed prostate cancer biomarkers with gene expression data: a long road to travel.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Amaro, Adriana Esposito, Alessia Isabella Gallina, Anna Nees, Matthias Angelini, Giovanna Albini, Adriana Pfeffer, Ulrich
Description	Country affiliation: Italy Author Affiliation: Amaro A ( Functional Genomics, IRCCS A.O.U. San Martino - IST Istituto Nazionale per la Ricerca sul Cancro, Genoa, Italy.)
Abstract	Biomarkers are important for early detection of cancer, prognosis, response prediction, and detection of residual or relapsing disease. Special attention has been given to diagnostic markers for prostate cancer since it is thought that early detection and surgery might reduce prostate cancer-specific mortality. The use of prostate-specific antigen, PSA (KLK3), has been debated on the base of cohort studies that show that its use in preventive screenings only marginally influences mortality from prostate cancer. Many groups have identified alternative or additional markers, among which PCA3, in order to detect early prostate cancer through screening, to distinguish potentially lethal from indolent prostate cancers, and to guide the treatment decision. The large number of markers proposed has led us to the present study in which we analyze these indicators for their diagnostic and prognostic potential using publicly available genomic data. We identified 380 markers from literature analysis on 20,000 articles on prostate cancer markers. The most interesting ones appeared to be claudin 3 (CLDN3) and alpha-methysacyl-CoA racemase highly expressed in prostate cancer and filamin C (FLNC) and keratin 5 with highest expression in normal prostate tissue. None of the markers proposed can compete with PSA for tissue specificity. The indicators proposed generally show a great variability of expression in normal and tumor tissue or are expressed at similar levels in other tissues. Those proposed as prognostic markers distinguish cases with marginally different risk of progression and appear to have a clinically limited use. We used data sets sampling 152 prostate tissues, data sets with 281 prostate cancers analyzed by microarray analysis and a study of integrated genomics on 218 cases to develop a multigene score. A multivariate model that combines several indicators increases the discrimination power but does not add impressively to the information obtained from Gleason scoring. This analysis of 10 years of marker research suggests that diagnostic and prognostic testing is more difficult in prostate cancer than in other neoplasms and that we must continue to search for better candidates.
File Format	HTM / HTML
ISSN	01677659
e-ISSN	15737233
DOI	10.1007/s10555-013-9470-4
Journal	Cancer and Metastasis Reviews
Issue Number	2-3
Volume Number	33
Language	English
Publisher	Springer
Publisher Date	2014-09-01
Publisher Place	Netherlands
Access Restriction	Open
Subject Keyword	Discipline Neoplasms Tumor Markers, Biological Gene Expression Regulation, Neoplastic Prostatic Neoplasms Genetics Cluster Analysis Datasets As Topic Gene Expression Profiling Multivariate Analysis Neoplasm Grading Prognosis Metabolism Mortality Pathology Reproducibility Of Results Meta-analysis Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Cancer Research Oncology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in