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7/1/2020 10:42:08 PM | Browse: 204 | Download: 354
Publication Name World Journal of Clinical Oncology
Manuscript ID 55398
Country United States
Category Genetics & Heredity
Manuscript Type Review
Article Title Powerful quantifiers for cancer transcriptomics
Manuscript Source Invited Manuscript
All Author List Dumitru Andrei Iacobas
Funding Agency and Grant Number
Corresponding Author Dumitru Andrei Iacobas, MSc, PhD, Director, Professor, Personalized Genomics Laboratory, CRI Center for Computational Systems Biology, Roy G Perry College of Engineering, Prairie View A&M University, Prairie View, TX 77446, United States. daiacobas@pvamu.edu
Key Words Cancer biomarkers; Cancer nodule; Gene therapy; Kidney cancer; Prostate cancer; RNA gene
Core Tip The Genomic Fabric Paradigm was developed as a holistic alternative to the biomarker approach of cancer transcriptomics. The genomic fabric of a functional pathway is the transcriptome associated with the most interconnected and stably expressed gene network responsible for that pathway. We present the associated analytical tools to characterize the topology, remodeling during cancer progression and in response to a therapy, and interplay of the genomic fabrics and identify the most legitimate targets in cancer gene therapy. The analyses are illustrated with examples from our transcriptomic studies on human cancer tissues and cell lines.
Citation Iacobas DA. Powerful quantifiers for cancer transcriptomics. World J Clin Oncol 2020; 11(9): 679-704
Received
2020-03-15 19:50
Peer-Review Started
2020-03-17 00:24
To Make the First Decision
Return for Revision
2020-04-18 21:12
Revised
2020-06-06 16:00
Second Decision
2020-07-01 10:33
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-07-01 22:42
Articles in Press
2020-07-01 22:42
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2020-08-31 03:59
ISSN 2218-4333 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Copyright © The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
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