Work

Supplementary Table 1 from Cholesterol Metabolism and Prostate Cancer Lethality

Year: 2023

Type: supplementary-materials

Abstract: Cholesterol metabolism genes and association of their mRNA expression with lethal prostate cancer in the Health Professionals Follow-up Study cohort, expressed as unadjusted and Bonferroni-adjusted P-values from univariable logistic regression. Sources are expressed as Reactome numbers or as references if added based on prior literature.

DOI: 10.1158/0008-5472.22411578

Authors: Konrad H. Stopsack, Travis A. Gerke, Jennifer A. Sinnott, Kathryn L. Penney, Svitlana Tyekucheva, Howard D. Sesso, Swen-Olof Andersson, Ove Andrén, James R. Cerhan, Edward L. Giovannucci, Lorelei A. Mucci, Jennifer R. Rider

Language: English

Topic: Cancer, Lipids, and Metabolism

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

OpenAlex ID: W4361875901

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