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Background:
First metabolomics studies have indicated that metabolic fingerprints from accessible tissues might
be useful to better understand the etiological links between metabolism and cancer. However, there is still a lack
of prospective metabolomics studies on pre-diagnostic metabolic alterations and cancer risk.
Methods:
Associations between pre-diagnostic levels of 120 circulating metabolites (acylcarnitines, amino acids,
biogenic amines, phosphatidylcholines, sphingolipids, and hexoses) and the risks of breast, prostate, and colorectal
cancer were evaluated by Cox regression analyses using data of a prospective case-cohort study including 835
incident cancer cases.
Results:
The median follow-up duration was 8.3 years among non-cases and 6.5 years among incident cases of
cancer. Higher levels of lysophosphatidylcholines (lysoPCs), and especially lysoPC a C18:0, were consistently related
to lower risks of breast, prostate, and colorectal cancer, independent of background factors. In contrast, higher
levels of phosphatidylcholine PC ae C30:0 were associated with increased cancer risk. There was no heterogeneity
in the observed associations by lag time between blood draw and cancer diagnosis.
Conclusion:
Changes in blood lipid composition precede the diagnosis of common malignancies by several years.
Considering the consistency of the present results across three cancer types the observed alterations point to a
global metabolic shift in phosphatidylcholine metabolism that may drive tumorigenesis.
Genome-wide association analysis in humans links nucleotide metabolism to leukocyte telomere length
(2020)
Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1 , PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease.