ID
45664
Description
Principal Investigator: Katherine Nathanson, MD, University of Pennsylvania, Philadelphia, PA, USA MeSH: Testicular Germ Cell Tumor,Seminoma https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001307 Testicular germ cell tumors (TGCT) are the most common cancer in men ages 20-40. The incidence of TGCT has more than doubled over the past forty years, without clear etiology. Both genetic effects and environmental exposures, specifically during the pre-natal period, are likely to play an important role in determining TGCT susceptibility. TGCT is known to develop from primordial germ cells (PGCs). We hypothesize that variation in genes that impact upon the differentiation and maturation of PGCs will be important determinants of TGCT susceptibility and based on this hypothesis have selected three important pathways for study, i) male germ cell development, ii) androgen and estrogen biosynthesis and metabolism, and iii) IGF signaling. The proteins involved in early male germ cell development, normally only expressed in PGCs, are markers of and are overexpressed in TGCT. Markers of increased exposure to estrogen (or relatively decreased exposure to androgen) in utero and exogenous estrogen exposures, such as endocrine disruptors, have been associated with TGCT case status in multiple studies. IGF signaling is necessary for testis differentiation and maturation in mice and interacts synergistically with the estrogen signaling pathway. Additionally, we are interested in examining genetic factors predisposing to TGCT in an unbiased fashion, and thus will conduct a Genome Wide Association Study. As well disease susceptiblity, genetics are likely to play a role in disease progression, disease outcomes and response to treatement. We will also assess association of inherited genetics with these outcomes. We will analyze the contribution of genetic variants in these pathways to TGCT risk using a population-based case-control study in the Philadelphia metropolitian area. Our goal is the collection of 550 TGCT cases and 1100 age, race and cell phone use matched controls without a history of TGCT, which will yield 500 and 1000 white cases and controls, respectively, available for final analyses. All cases will be enumerated through the New Jersey and Pennsylvania state cancer registries. We will use a two-tiered approach for case recruitment: hospital clinic-based followed by registry-based. Hospital based cases will be identified within the Univeristy of Pennsylvania Health System and the University of Pennsylvania Cancer Network. All cases identified through this mechanism will be recruited irregardless of diagnosis date. The remaining cases will be identified through the New Jersey and Pennsylvania cancer registries and contacted following their protocols. Controls will be identified through random digit dialing and address based sampling. Both cases and controls will complete a questionnaire addressing known, presumed, and hypothesized risk factors for TGCT and provide a biospecimen. Pathological slides will be reviewed to cases to confirm diagnostic sub-type of TGCT. Haplotypes and functional SNPs will be typed in the genes of interest, as well as throughout the genome. Analyses will be conducted for specific variants, common haplotypes, alone and in conjunction with each other and exposure data after appropriate adjustment for potential confounders. The findings from this study will greatly contribute to our understanding of determinants of TGCT susceptibility.
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Versions (1)
- 29/03/2023 29/03/2023 - Chiara Middel
Détendeur de droits
Katherine Nathanson, MD, University of Pennsylvania, Philadelphia, PA, USA
Téléchargé le
29 mars 2023
DOI
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Licence
Creative Commons BY 4.0
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dbGaP phs001307 Inherited Genetic Variation and Predisposition to Testicular Germ Cell Tumor: UPenn Local TGCT Study
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- This subject consent data table includes subject IDs, consent group information, and biological sex.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs and sample aliases. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
- This subject phenotypes data table includes subject's sex, race, ethnicity, marital status, year of birth, number of children, height, weight, and cryptorchidism and type. Specifically pertaining to TGCT, variables include case control status, subsequent TGCT diagnosis, side of first and second tumor diagnoses, year of first and second TGCT tumor identification, histology, and relatives with TGCT (n=4 variables). Specifically pertaining to EGCT, variables include case control staus, histology and type of first EGCT, and year of first EGCT tumor identification.
- This sample attributes data table includes body site where sample was collected, analyte type, and tumor status.
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- This subject consent data table includes subject IDs, consent group information, and biological sex.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs and sample aliases. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
- This subject phenotypes data table includes subject's sex, race, ethnicity, marital status, year of birth, number of children, height, weight, and cryptorchidism and type. Specifically pertaining to TGCT, variables include case control status, subsequent TGCT diagnosis, side of first and second tumor diagnoses, year of first and second TGCT tumor identification, histology, and relatives with TGCT (n=4 variables). Specifically pertaining to EGCT, variables include case control staus, histology and type of first EGCT, and year of first EGCT tumor identification.
- This sample attributes data table includes body site where sample was collected, analyte type, and tumor status.
C0680251 (UMLS CUI [1,2])
C0001779 (UMLS CUI [1,2])
C0855197 (UMLS CUI [1,3])
C0242800 (UMLS CUI [2,1])
C0805443 (UMLS CUI [2,2])
C0030705 (UMLS CUI [2,3])
C0237096 (UMLS CUI [2,4])
C2316983 (UMLS CUI [2,5])
C0205435 (UMLS CUI [3,1])
C0205225 (UMLS CUI [3,2])
C0855197 (UMLS CUI [3,3])
C0449695 (UMLS CUI [3,4])
C0039597 (UMLS CUI [3,5])
C0019638 (UMLS CUI [3,6])
C0036631 (UMLS CUI [3,7])
c1266158 (UMLS CUI [3,8])
C0334524 (UMLS CUI [3,9])
C0009932 (UMLS CUI [4,1])
C1708943 (UMLS CUI [4,2])
C0034510 (UMLS CUI [4,3])
C1136359 (UMLS CUI [4,4])
C0457083 (UMLS CUI [4,5])
C0022735 (UMLS CUI [1,2])
C0013080 (UMLS CUI [1,3])
C0332281 (UMLS CUI [1,4])
C1336708 (UMLS CUI [1,5])
C1516698 (UMLS CUI [2,1])
C1533716 (UMLS CUI [2,2])
C0034394 (UMLS CUI [2,3])
C0332196 (UMLS CUI [3,1])
C0868928 (UMLS CUI [3,2])
C0332196 (UMLS CUI [4,1])
C0009932 (UMLS CUI [4,2])
C0032961 (UMLS CUI [1,2])
C0015965 (UMLS CUI [1,3])
C0021289 (UMLS CUI [1,4])
C0033167 (UMLS CUI [1,5])