Genetically Inferred Telomere Length and Testicular Germ Cell Tumor Risk.


Journal

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
ISSN: 1538-7755
Titre abrégé: Cancer Epidemiol Biomarkers Prev
Pays: United States
ID NLM: 9200608

Informations de publication

Date de publication:
06 2021
Historique:
received: 14 12 2020
revised: 12 02 2021
accepted: 12 03 2021
pubmed: 20 3 2021
medline: 27 1 2022
entrez: 19 3 2021
Statut: ppublish

Résumé

Studies evaluating the association between peripheral blood leukocyte telomere length (LTL) and testicular germ cell tumor (TGCT) risk have produced conflicting results. Using available genotype data from the Testicular Cancer Consortium (TECAC), polygenic risk score and Mendelian randomization analyses of genetic variants previously associated with LTL were used to assess potential etiologic associations between telomere length and TGCT risk. Genetically inferred telomere length was not associated with TGCT risk among 2,049 cases and 6,921 controls with individual-level genotype data (OR, 1.02; 95% confidence interval, 0.97-1.07). Mendelian randomization analyses using summary statistic data further indicated no evidence for an association between telomere length and TGCT risk among all available TECAC participants (3,558 cases and 13,971 controls). Our analyses in the largest molecular genetic testicular cancer study to date provide no evidence for an association between genetically inferred peripheral blood LTL and TGCT risk. The lack of evidence for an overall association indicates that peripheral blood LTL is likely not a strong biomarker for TGCT risk.

Sections du résumé

BACKGROUND
Studies evaluating the association between peripheral blood leukocyte telomere length (LTL) and testicular germ cell tumor (TGCT) risk have produced conflicting results.
METHODS
Using available genotype data from the Testicular Cancer Consortium (TECAC), polygenic risk score and Mendelian randomization analyses of genetic variants previously associated with LTL were used to assess potential etiologic associations between telomere length and TGCT risk.
RESULTS
Genetically inferred telomere length was not associated with TGCT risk among 2,049 cases and 6,921 controls with individual-level genotype data (OR, 1.02; 95% confidence interval, 0.97-1.07). Mendelian randomization analyses using summary statistic data further indicated no evidence for an association between telomere length and TGCT risk among all available TECAC participants (3,558 cases and 13,971 controls).
CONCLUSIONS
Our analyses in the largest molecular genetic testicular cancer study to date provide no evidence for an association between genetically inferred peripheral blood LTL and TGCT risk.
IMPACT
The lack of evidence for an overall association indicates that peripheral blood LTL is likely not a strong biomarker for TGCT risk.

Identifiants

pubmed: 33737296
pii: 1055-9965.EPI-20-1775
doi: 10.1158/1055-9965.EPI-20-1775
pmc: PMC8172526
mid: NIHMS1686430
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, N.I.H., Intramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1275-1278

Subventions

Organisme : NCI NIH HHS
ID : P30 CA016520
Pays : United States
Organisme : NIEHS NIH HHS
ID : P30 ES013508
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA164947
Pays : United States
Organisme : Intramural NIH HHS
ID : ZIA CP010126
Pays : United States

Informations de copyright

©2021 American Association for Cancer Research.

Références

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pubmed: 19887512
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Auteurs

Derek W Brown (DW)

Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland. derek.brown@nih.gov.
Cancer Prevention Fellowship Program, Division of Cancer Prevention, NCI, Rockville, Maryland.

Qing Lan (Q)

Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland.

Nathaniel Rothman (N)

Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland.

John Pluta (J)

Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Kristian Almstrup (K)

Department of Growth and Reproduction, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.

Marlene D Dalgaard (MD)

Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.

Mark H Greene (MH)

Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland.

Tom Grotmol (T)

Department of Research, Cancer Registry of Norway, Oslo, Norway.

Chey Loveday (C)

Division of Genetics and Epidemiology, The Institute of Cancer Research, London, England, United Kingdom.

Stephen M Schwartz (SM)

Epidemiology Program, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Department of Epidemiology, University of Washington, Seattle, Washington.

Clare Turnbull (C)

Division of Genetics and Epidemiology, The Institute of Cancer Research, London, England, United Kingdom.
William Harvey Research Institute, Queen Mary University, London, England, United Kingdom.

Fredrik Wiklund (F)

Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.

Peter A Kanetsky (PA)

Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.

Katherine L Nathanson (KL)

Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Abramson Cancer Center, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Mitchell J Machiela (MJ)

Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland.

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Classifications MeSH