Machine Learning Reveals Lipidome Remodeling Dynamics in a Mouse Model of Ovarian Cancer-Reference-Cited by-同舟云学术

Machine Learning Reveals Lipidome Remodeling Dynamics in a Mouse Model of Ovarian Cancer

Published:2023-05-23 Issue:6 Volume:22 Page:2092-2108
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Bifarin Olatomiwa O.¹^ORCID,Sah Samyukta¹,Gaul David A.¹²,Moore Samuel G.²,Chen Ruihong³,Palaniappan Murugesan³⁴,Kim Jaeyeon⁵,Matzuk Martin M.³⁴^ORCID,Fernández Facundo M.¹²^ORCID

Affiliation:

1. School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

2. Petit Institute of Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

3. Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas 77030, United States

4. Center for Drug Discovery, Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas 77030, United States

5. Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana 46202, United States

Funder

National Cancer Institute

Cancer Prevention and Research Institute of Texas

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.3c00226

Reference66 articles.

1. The Changing Landscape of Gynecologic Cancer Mortality in the United States

2. Nanocarrier‐delivered small interfering RNA for chemoresistant ovarian cancer therapy

3. Ovarian cancer statistics, 2018

4. Surveillance E. and End Results (SEER) Program SEER*Stat Database, SEER 17 2012–2018, All Races, Females by SEER Combined Summary Stage. National Cancer Institute, DCCPS, Surveillance Research Program, 2022. www.seer.cancer.gov.

5. High-Grade Serous Ovarian Cancer: Basic Sciences, Clinical and Therapeutic Standpoints

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