Table 3 from Adiposity Status Close to Diagnosis and Its Association with Prostate Cancer Survival in the UK Biobank

Margarita Cariolou; Sofia Christakoudi; Marc J. Gunter; Alicia K. Heath; Amy Berrington de González; Doris S.M. Chan; David C. Muller; Konstantinos K. Tsilidis

doi:10.1158/2767-9764.29580988

July 16, 2025

Table 3 from Adiposity Status Close to Diagnosis and Its Association with Prostate Cancer Survival in the UK Biobank

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Key Points

MAIN FINDING: Higher adiposity is linked to increased prostate cancer–specific mortality in the UK Biobank cohort.
KEY EVIDENCE: Cox proportional hazards ratios indicate a clear association between fat levels and cancer outcomes.
APPROACH: The analysis utilized minimally and fully adjusted models to assess mortality risks based on adiposity status.
SIGNIFICANCE: Findings underscore the need for personalized patient care based on adiposity measures in prostate cancer management.

Implication

Cox proportional hazards models reveal a significant link between adiposity and prostate cancer mortality, suggesting clinical importance in patient management.

Abstract

Cox proportional HRs and 95% CIs for the linear association between adiposity and prostate cancer–specific mortality (minimally versus main/fully adjusted model)

Discussion

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Cite This Study

Cariolou et al. (2025) studied this question.

synapsesocial.com/papers/689a02c3e6551bb0af8ccc44 https://doi.org/10.1158/2767-9764.29580988

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Table 3 from Adiposity Status Close to Diagnosis and Its Association with Prostate Cancer Survival in the UK Biobank

Key Points

Implication

Abstract

Discussion

Cite This Study

Table 3 from Adiposity Status Close to Diagnosis and Its Association with Prostate Cancer Survival in the UK Biobank

Key Points

Implication

Abstract

Discussion

Cite This Study

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