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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

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Author(s):
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Malta, Tathiane M. [1, 2] ; Sokolov, Artem [3] ; Gentles, Andrew J. [4] ; Burzykowski, Tomasz [5] ; Poisson, Laila [2] ; Weinstein, John N. [6] ; Kaminska, Bozena [7] ; Huelsken, Joerg [8] ; Omberg, Larsson [9] ; Gevaert, Olivier [4] ; Colaprico, Antonio [10, 11] ; Czerwinska, Patrycja [12] ; Mazurek, Sylwia [12, 13] ; Mishra, Lopa [14] ; Heyn, Holger [15] ; Krasnitz, Alex [16] ; Godwin, Andrew K. [17] ; Lazar, Alexander J. [6] ; Stuart, Joshua M. [18] ; Hoadley, Katherine A. [19] ; Laird, Peter W. [20] ; Noushmehr, Houtan [1, 2] ; Wiznerowicz, Maciej [2, 12, 21, 22] ; Network, Cancer Genome Atlas Res
Total Authors: 24
Affiliation:
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[1] Univ Sao Paulo, BR-14049 Ribeirao Preto, SP - Brazil
[2] Henry Ford Hlth Syst, Detroit, MI 48202 - USA
[3] Harvard Med Sch, Boston, MA 02115 - USA
[4] Stanford Univ, Palo Alto, CA 94305 - USA
[5] Hasselt Univ, B-3590 Diepenbeek - Belgium
[6] Univ Texas MD Anderson Canc Ctr, Houston, TX 77030 - USA
[7] PAS, Nencki Inst Expt Biol, PL-02093 Warsaw - Poland
[8] Swiss Fed Inst Technol Lausanne, EPFL, CH-1015 Lausanne - Switzerland
[9] Sage Bionetworks, Seattle, WA 98109 - USA
[10] Univ Libre Bruxelles, B-1050 Brussels - Belgium
[11] Interuniv Inst Bioinformat Brussels IB2, B-1050 Brussels - Belgium
[12] Poznan Univ Med Sci, PL-61701 Poznan - Poland
[13] Med Univ Warsaw, Postgrad Sch Mol Med, PL-02109 Warsaw - Poland
[14] George Washington Univ, Washington, DC - USA
[15] Ctr Genom Regulat CNAG CRG, Barcelona 08003 - Spain
[16] Cold Spring Harbor Lab, Cold Spring Harbor, NY 11724 - USA
[17] Univ Kansas, Med Ctr, Kansas City, KS 66160 - USA
[18] Univ Calif Santa Cruz, Santa Cruz, CA 95064 - USA
[19] Univ N Carolina, Chapel Hill, NC 27599 - USA
[20] Van Andel Res Inst, Grand Rapids, MI 49503 - USA
[21] Greater Poland Canc Ctr, PL-61866 Poznan - Poland
[22] Int Inst Mol Oncol, PL-60203 Poznan - Poland
Total Affiliations: 22
Document type: Journal article
Source: Cell; v. 173, n. 2, p. 338+, APR 5 2018.
Web of Science Citations: 92
Abstract

Cancer progression involves the gradual loss of a differentiated phenotype and acquisition of progenitor and stem-cell-like features. Here, we provide novel stemness indices for assessing the degree of oncogenic dedifferentiation. We used an innovative one-class logistic regression (OCLR) machine-learning algorithm to extract transcriptomic and epigenetic feature sets derived from non-transformed pluripotent stem cells and their differentiated progeny. Using OCLR, we were able to identify previously undiscovered biological mechanisms associated with the dedifferentiated oncogenic state. Analyses of the tumor microenvironment revealed unanticipated correlation of cancer stemness with immune checkpoint expression and infiltrating immune cells. We found that the dedifferentiated oncogenic phenotype was generally most prominent in metastatic tumors. Application of our stemness indices to single-cell data revealed patterns of intra-tumor molecular heterogeneity. Finally, the indices allowed for the identification of novel targets and possible targeted therapies aimed at tumor differentiation. (AU)

FAPESP's process: 16/06488-3 - Integrative epigenomic analysis of high and low Glioma-CpG island Methylator Phenotype (G-CIMP): characterization and methods development
Grantee:Thaís Sarraf Sabedot
Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
FAPESP's process: 14/08321-3 - Identification and characterization of functional genomic elements associated with progression of low to high grade glioma: integrative study of genome and epigenome
Grantee:Camila Ferreira de Souza
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 15/07925-5 - Open source software statistical tools to aid in analyzing and integrating large cancer epigenomic datasets in order to decipher and understand regulatory networks
Grantee:Houtan Noushmehr
Support Opportunities: Research Grants - Young Investigators Grants
FAPESP's process: 16/01975-3 - Defining stem cell epigenomic signatures in 33 different tumor types across 9000+ tumor samples
Grantee:Tathiane Maistro Malta Pereira
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 16/01389-7 - Bioinformatic tool to integrate and understand aberrant epigenomic and genomic changes associated with cancer: methods, development and analysis
Grantee:Tiago Chedraoui Silva
Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
FAPESP's process: 16/15485-8 - Clinical biomarkers in central nervous system tumors
Grantee:Camila Ferreira de Souza
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 14/02245-3 - Identification of epigenomic signatures that define open chromatin regulatory networks associated with mesenchymal differentiation from human pluripotent stem cells
Grantee:Tathiane Maistro Malta Pereira
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 16/10436-9 - Development and enhancement of bioinformatic tools to integrate and understand aberrant epigenomic and genomic changes associated with cancer: methods, development and analysis
Grantee:Tiago Chedraoui Silva
Support Opportunities: Scholarships abroad - Research Internship - Doctorate (Direct)
FAPESP's process: 16/12329-5 - Chromatin accessibility and DNA methylation changes associated with high and low Glioma-CpG island methylator phenotype (G-CIMP)
Grantee:Thaís Sarraf Sabedot
Support Opportunities: Scholarships abroad - Research Internship - Doctorate (Direct)