Body Composition and Tumor Protein Expression in Endometrial Cancer
Author Information
Author(s): Mahenge Cuthbert Mario, Akasheh Rand Talal, Kinder Ben, Nguyen Xuan Viet, Kalam Faiza, Cheng Ting-Yuan David
Primary Institution: The Ohio State University
Hypothesis
This study investigates the association between muscle mass, body fat, and tumor proteomics in endometrial cancer.
Conclusion
The study found significant survival differences among body composition types and associations with proteins involved in cancer signaling pathways.
Supporting Evidence
- Endometrial cancer is the most common gynecological cancer, with rising incidence and mortality rates.
- CT scans provide a more accurate measure of body composition compared to BMI.
- Low muscle mass is associated with higher mortality in endometrial cancer patients.
Takeaway
Doctors looked at how much muscle and fat people with endometrial cancer have to see if it affects their tumors and survival.
Methodology
The study analyzed data from 113 patients using CT scans and tumor proteomics data from TCGA and CPTAC cohorts.
Potential Biases
Potential systematic error due to differences in measurement techniques of protein expression data.
Limitations
The study is cross-sectional with a small sample size, limiting statistical power and generalizability.
Participant Demographics
Median age was 63.3 years; 86.7% were white; 51.1% were stage I.
Statistical Information
P-Value
0.02
Confidence Interval
95% CI = 1.0–29.0
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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