Publication Name	World Journal of Gastroenterology
Manuscript ID	6862
Country	Italy

Received	2013-10-29 16:13
Peer-Review Started	2013-10-30 19:48
To Make the First Decision	2014-02-14 18:39
Return for Revision	2014-02-17 22:14
Revised	2014-06-04 00:00
Second Decision	2014-06-26 17:00
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2014-06-26 17:28
Articles in Press	2014-06-26 17:51
Publication Fee Transferred
Edit the Manuscript by Language Editor	2014-07-08 13:20
Typeset the Manuscript	2014-09-22 16:14
Publish the Manuscript Online	2014-10-07 17:32

ISSN	1007-9327 (print) and 2219-2840 (online)
Open Access
Copyright
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Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com

Category	Statistics & Probability
Manuscript Type	Topic Highlights
Article Title	Biomarkers for pancreatic cancer: Recent achievements in proteomics and genomics through classical and multivariate statistical methods
Manuscript Source	Invited Manuscript
All Author List	Emilio Marengo and Elisa Robotti
Funding Agency and Grant Number
Corresponding Author	Emilio Marengo, Professor, Department of Sciences and Technological Innovation, University of Piemonte Orientale, Viale Michel 11, 15121 Alessandria, Italy. marengoe@tin.it
Key Words	Pancreatic cancer; Biomarker identification; Multivariate analysis; Principal component analysis; Ranking principal component analysis
Core Tip	Biomarkers are statistically identified as significant by: (1) classical statistical tests where each biomarker is independent from the others; and (2) multivariate methods that take into consideration the correlation among the biomarkers. This last approach provides pools of biomarkers with superior diagnostic and prognostic performances. Multivariate techniques are often applied with variable selection procedures to provide the smallest set of biomarkers with the best predictive ability. The exhaustive identification is instead a valid alternative since it can provide comprehensive information about the etiology of the pathology. The most recent applications of the omics approaches to the identification of biomarkers for PC are presented, with particular regard to the statistical methods adopted.
Publish Date	2014-10-07 17:32
Citation	Marengo E, Robotti E. Biomarkers for pancreatic cancer: Recent achievements in proteomics and genomics through classical and multivariate statistical methods. World J Gastroenterol 2014; 20(37): 13325-13342
URL	http://www.wjgnet.com/1007-9327/full/v20/i37/13325.htm
DOI	http://dx.doi.org/10.3748/wjg.v20.i37.13325

Full Article (PDF)	WJG-20-13325.pdf
Full Article (Word)	WJG-20-13325.doc
Manuscript File	6862-Review.docx
Answering Reviewers	6862-Answering reviewers.pdf
Copyright License Agreement	6862-Copyright assignment.pdf
Peer-review Report	6862-Peer review.pdf
Scientific Misconduct Check	6862-CorssCheck.jpg
Scientific Editor Work List	6862-Scientific editor work list.pdf