Back

Pre-diagnostic lipid metabolites are enriched in men who develop advanced prostate cancer: a nested case-control study

Graff, R. E.; Fuller, H.; Wilson, K. M.; Dickerman, B. A.; Chan, J. M.; Kantoff, P. W.; Feng, X.; Clish, C. B.; Vander Heiden, M. G.; Darst, B. F.; Ebot, E. M.; Mucci, L. A.

2026-03-13 epidemiology
10.64898/2026.03.12.26348193 medRxiv
Show abstract

Few studies with pre-diagnostic samples have estimated associations between circulating metabolites and risk of advanced prostate cancer. We performed untargeted metabolomic profiling of pre-diagnostic blood samples from 212 advanced prostate cancer cases (stage [&ge;]T3b or lethal during follow-up) and 212 matched controls from the Health Professionals Follow-up Study. 243 metabolites were assayed using liquid chromatography-tandem mass spectrometry (Broad Institute) and met quality control standards. We used multivariable conditional logistic regression to generate odds ratios (OR) and 95% confidence intervals (95%CI) for associations between individual metabolites and risk of advanced prostate cancer, and conducted metabolite set enrichment tests to identify metabolite classes enriched in advanced prostate cancer. Subgroup analyses were conducted by body mass index (BMI) and time between blood draw and diagnosis. Levels of 16 lipid species were nominally associated with advanced prostate cancer at p<0.05, though none were statistically significant after multiple testing correction. The strongest signals were for C56:1 triacylglycerol (TAG; OR: 1.34, 95%CI: 1.07-1.67) and C38:4 diacylglycerol (DAG; OR: 1.27, 95%CI: 1.04-1.55). Enrichment analyses revealed six metabolite classes associated with advanced prostate cancer after multiple testing adjustment, the top four of which were DAGs and TAGs: DAGs overall (P=3.4E-07), unsaturated DAGs (P=5.9E-07), unsaturated TAGs (P=2.3E-06), and TAGs overall (P=2.4E-06). 43 metabolites were nominally associated with advanced prostate cancer among individuals with BMI <25 kg/m2; only three demonstrated nominal associations in individuals with BMI [&ge;]25 kg/m2. These findings suggest associations between circulating pre-diagnostic lipid levels and aggressive prostate cancer risk, particularly in lean individuals.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 4%
10.9%
2
eLife
5422 papers in training set
Top 5%
10.6%
3
Nature Communications
4913 papers in training set
Top 21%
8.6%
4
JNCI: Journal of the National Cancer Institute
16 papers in training set
Top 0.1%
7.5%
5
Cancer Epidemiology, Biomarkers & Prevention
17 papers in training set
Top 0.1%
7.1%
6
The Journal of Infectious Diseases
182 papers in training set
Top 2%
2.7%
7
Clinical Cancer Research
58 papers in training set
Top 0.6%
2.7%
50% of probability mass above
8
JCI Insight
241 papers in training set
Top 2%
2.2%
9
The American Journal of Human Genetics
206 papers in training set
Top 2%
2.2%
10
eBioMedicine
130 papers in training set
Top 0.7%
2.2%
11
British Journal of Cancer
42 papers in training set
Top 0.7%
2.0%
12
PLOS ONE
4510 papers in training set
Top 52%
1.8%
13
Human Genetics and Genomics Advances
70 papers in training set
Top 0.3%
1.8%
14
BMC Medicine
163 papers in training set
Top 4%
1.6%
15
Arteriosclerosis, Thrombosis, and Vascular Biology
65 papers in training set
Top 1%
1.4%
16
Clinical Infectious Diseases
231 papers in training set
Top 3%
1.3%
17
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 39%
1.2%
18
PLOS Medicine
98 papers in training set
Top 4%
1.0%
19
JNCI Cancer Spectrum
10 papers in training set
Top 0.4%
1.0%
20
International Journal of Cancer
42 papers in training set
Top 1.0%
0.9%
21
Cell Reports Medicine
140 papers in training set
Top 6%
0.9%
22
Journal of Clinical Investigation
164 papers in training set
Top 5%
0.9%
23
Science Advances
1098 papers in training set
Top 25%
0.9%
24
Cell
370 papers in training set
Top 15%
0.9%
25
iScience
1063 papers in training set
Top 28%
0.8%
26
The Prostate
11 papers in training set
Top 0.1%
0.8%
27
Cancer Research Communications
46 papers in training set
Top 1%
0.8%
28
Genome Medicine
154 papers in training set
Top 8%
0.8%
29
Oncogenesis
12 papers in training set
Top 0.2%
0.7%
30
Journal of Extracellular Biology
18 papers in training set
Top 0.2%
0.7%