Abstract
Background.
The Testicular Cancer Consortium (TECAC) was established in 2012 and is comprised of researchers from over 25 centers in Europe and North America. TECAC’s overarching goal is to investigate the genetic susceptibility of testicular germ cell tumors (TGCT) to better understand their biology, impact prevention strategies, and inform treatment decisions.
Objectives.
To provide an overview of TECAC genetic and phenotypic holdings.
Materials and Methods.
TECAC has composed by-laws describing the consortium structure and governance, codified the processes for manuscript development and data transfer, and developed guidance for the transfer of biological samples and access to data.
Results.
TECAC has assembled a vast amount of genetic information on males with TGCT—including SNP-array data on over 13,500 cases, whole-exome sequencing data on over 4,500 cases, and low-pass whole-genome sequence data on over 2,700 cases. Genetic information on males without TGCT (controls) is derived from studies designed to assess risk factors for TGCT and from publicly available resources. When available, corresponding phenotypic information is collected and harmonized. Fifteen publications have resulted from genetic and phenotypic information curated by TECAC.
Discussion.
The sharing of genetic and phenotypic data by TECAC centers to inform large studies of TGCT susceptibility has led to novel insights into the genetic architecture of this cancer, including the roles of genes involved in male germ cell development, sex determination, chromosomal segregation, and RNA transcription. These findings would not have been achievable by individual centers or smaller collaborative efforts.
Conclusion.
We invite investigators from any discipline who have access to collections of germline DNA, somatic cell DNA, or genomic information on males with TGCT to consider joining TECAC to further strengthen our efforts to reduce the global burden of TGCT.
Keywords: Testicular germ cell tumors, inherited genetics, team science
Introduction
Testicular germ cell tumors (TGCT) are the most common malignancies among young males aged 15 to 39 years in the world.1 In recent decades, an increase in the incidence of TGCT has occurred in many populations with the highest incidence (7.0 or more per 100,000 males) now observed in Western, Northern, and Southern Europe and Oceania.2 In the United States, incidence currently surpasses 6.0 per 100,000 males, having increased nearly 1% per year, on average, over the past two decades.3,4 TGCT is considered a curable cancer, yet young males still die of the disease and survivors can have serious long-term sequelae of platinum-based chemotherapy treatment, which TGCT patients with metastatic disease receive.5 Familial aggregation of TGCT has been documented since the 1930s, and family history is a recognized risk factor6-9. TGCT is highly heritable and population-based estimates derived from a genomic assessment of common SNPs range from 37% to nearly 50%.10 Nonetheless, high penetrance genes have not been identified. Thus, a comprehensive appreciation of the genetic architecture of TGCT may be an effective way to identify males at higher risk for whom early detection may improve outcomes.
The mission of the Testicular Cancer Consortium (TECAC) is to investigate genetic susceptibility of TGCT to better understand TGCT biology, and to inform prevention strategies and treatment decisions. Studies of large numbers of affected individuals are crucial to the discovery of small effects associated with common inherited genetic variants and the discovery of rare variants with larger effects, and collaborative efforts to attain these large numbers are common. Such efforts are particularly necessary when studying rare cancers like TGCT. This was the major motivation for establishing TECAC.
Early investigations of TGCT genetic susceptibility were focused on the discovery of high-penetrance genes that could account for familial aggregation of disease, and these efforts were conducted by members of the International Testicular Cancer Linkage Consortium (ITCLC) who pooled resources of families with two or more members affected with TGCT.11 However, linkage analyses failed to identify individual loci that accounted for observed familial aggregation.12 In 2008, the National Cancer Institute of the US (NCI) solicited grant applications designed to tether genetic epidemiology, biology, and classical epidemiology to further transdisciplinary cancer genomic research. TECAC was born in response to this research call, and 16 international research groups came together to respond to this Post Genome Wide Association Initiative. Many of the inaugural TECAC research groups had a history of collaboration, several as part of the ITCLC. Despite TECAC’s grant application not being selected to receive funding, we repurposed several of the scientific aims and subsequently were successful at obtaining initial funding (U01CA164947) in 2012 and a competitive continuation awarded in 2020. Currently, TECAC membership is composed of researchers from over 25 research centers across North America and Europe who from local ongoing or completed studies of TGCT have contributed summary genotypic data, individual-level genotyping data, and/or biological samples for de novo genotyping.
Here, we provide an overview of current TECAC genetic and phenotypic holdings and describe the structure of TECAC and the processes for data transfer and data access.
Materials and Methods
Charter and by-laws
In support of its mission, the overarching goal of TECAC is to develop and support collaborations between research teams to identify genetic susceptibility for TGCT, assess the risk of TGCT related to variation in risk alleles at these identified genes, evaluate statistical interaction among risk alleles and between risk alleles and environmental factors, and investigate additional features of TGCT of interest to the researchers. A charter and by-laws describing the organizational structure and function of the consortium were created to outline the agreement made between and among the members of TECAC. The Governing Council, consisting of one representative from each research team, provides for the development of strategic directions and a forum for discussion. At the time of writing, 26 investigators serve on the Governing Council. This council hears reports on the progress of research activities undertaken by TECAC and is the ultimate arbitrator of any disputes within TECAC. The TECAC Steering Committee is responsible for the executive management of the TECAC, including implementing the consortium’s strategic direction and coordination of various committees and working groups to assure forward momentum of research. The Steering Committee meets regularly on a bi-weekly basis. At the time of writing, six investigators serve on the Steering Committee (all of whom also serve on the Governing Council). The External Advisory Board provides guidance and advice to the Steering Committee and Governing Council. It consists of non-TECAC researchers who are invited to serve based on alignment of their expertise with the aims of the grant award supporting TECAC scientific efforts. At the time of writing, there are two external advisors. The Coordinating Center (University of Pennsylvania) is responsible for implementing the TECAC infrastructure.
TECAC members convene annually for a daylong in-person meeting to discuss ongoing efforts coordinated through TECAC, exchange findings from TGCT-related science undertaken by individual research teams, and identify potential areas of future collaboration. To maximize in-person engagement, the annual TECAC meeting is typically scheduled opportunistically to coincide with the dates of a large professional scientific meeting with international attendance alternating between the US and Europe. TECAC members also can attend the annual meeting virtually.
Scientific communications
A TECAC manuscript is defined as a report describing scholarly work that involves data from two or more TECAC participant research teams that have been aggregated by TECAC. To produce a TECAC manuscript, the topic of the manuscript must first be proposed, reviewed, and approved. The approval process begins with the submission of a concept proposal to the TECAC Steering Committee by the primary investigator, who takes the lead role in sponsoring the development of the proposal, conducting the work to complete its specific aims, overseeing the writing of the manuscript, and submitting the manuscript for publication. The Steering Committee completes an initial review of the concept proposal focusing on the scientific value of the proposed work and the feasibility and impact on TECAC and individual participant resources. Upon approval, the concept proposal is circulated to the Governing Council for review and approval. At any point in the approval process, changes to the concept proposal (e.g., augment or focus the scope of the proposed analysis, expand the proposed manuscript writing team to incorporate other participant teams undertaking similar work) may require the submission of an amended concept proposal. Following full approval of a concept proposal, the Coordinating Center facilitates access for the primary investigator of the proposal to the requisite data and/or specimens, or results of the relevant data analyses. The Coordinating Center also can provide support for the conduct of analyses. Once available from the primary investigator, a complete draft of a TECAC manuscript is circulated to the Steering Committee and then to members of the Governing Council for editing and approval. A minimum of four weeks is needed to complete the approval process for a concept proposal or TECAC manuscript. Guidelines further outlining the work process for approved concept proposals and authorship are available to TECAC members. Abstracts to be presented at local, national, or international scientific meetings reporting on results from TECAC data require approval from the Steering Committee prior to submission, a process that typically requires a minimum of one week. For accepted abstracts, a review of the final slide deck or poster by the Steering Committee is strongly encouraged prior to presentation.
Data transfer
Each collaborating TECAC center is required to establish both a Materials Transfer Agreement (MTA) and a Data Transfer Agreement (DTA) with the University of Pennsylvania and the National Cancer Institute (NCI). As the Coordinating Cancer, the University of Pennsylvania manages genotyping and sequencing of center-submitted genetic data. The National Cancer Institute maintains the corresponding phenotype and clinical data. Contract negotiators from the University of Pennsylvania, the NCI, and each TECAC center collaborate to develop these agreements. Once finalized, they are fully executed upon signatures by the designated representatives at each center.
Genotypic data
Dependent upon local holdings and regulatory permissions, there are several opportunities for individual centers to contribute genetic information to TECAC efforts including the provision to the Coordinating Center of (i) biological samples, (ii) individual-level genotype data, and/or (iii) genetic analyses summary results.
Biological samples.
Centers are provided with guidance for transfer of germline DNA, which includes information on i) preparing DNA samples (methods of DNA quantification, diluent, concentration, volume, and total amount), ii) plating requirements (96-well plates) and sample details (plate ID, well location, local ID, disease status [e.g., TGCT case, control], DNA extraction method, DNA source, volume, concentration, total amount), and iii) packaging and shipping procedures. Received DNA aliquots are stored and prepared for centralized genotyping efforts. After genotypic analysis is completed, participating centers may request residual DNA to be stored at the Coordinating Center for future use or returned.
Individual-level genotype data.
For TECAC centers with existing genotype information (e.g., date from SNP-array and/or whole exome sequencing), individual-level genotypic information is provided to TECAC.
Summary results.
For TECAC centers that cannot share individual-level genotype data due to regulatory limitations, summary data are provided to TECAC.
Phenotype data
For TGCT cases and males with no personal history of TGCT, information on year of birth, race, ethnicity, family history of TGCT (first degree, second degree), personal history and laterality of cryptorchidism is requested. Height, weight, number of children fathered, and marital status is also requested for TGCT cases (at diagnosis) and males without TGCT (at reference date). For TGCT cases, information on diagnosis (year), tumor laterality, and histology (seminoma, non-seminoma, mixed [i.e., seminoma and non-seminoma]) is requested for each occurrence of TGCT. Phenotypic data are transferred to the (US) National Cancer Institute for extensive data cleaning and harmonization done under the supervision of TECAC members at the (US) National Cancer Institute.
TECAC is currently in the process of collecting information pertinent to patient outcomes from centers with access to such clinical data. Information being solicited includes clinical stage and pathology at date of diagnosis, first line treatment, disease relapse, treatments beyond first line, vital status and cause of death, medications, and diseases and conditions occurring after TGCT diagnosis whether attributable to treatment (e.g., late effects) or not. These data also will be aggregated, cleaned, and harmonized under the supervision of TECAC members at the (US) National Cancer Institute.
Data access
Investigators who submit a concept proposal that receives approval from the TECAC Steering and Governance Committees must sign a Data Use Agreement (DUA) to access the approved TECAC dataset and proceed with analysis. After the investigator returns the signed DUA to the Coordinating Center, data access is facilitated through Penn Medicine Academic Computing Services. All analyses must be conducted within a secure computing environment hosted at the University of Pennsylvania; data cannot be downloaded or accessed outside of this controlled setting.
Ethical considerations
For this article that provides a summary overview of TECAC processes, genetic and phenotypic holdings, and main findings to date, there is no requirement for inclusion of an ethics statement regarding human subjects research. Still, participants and corresponding data reported in TECAC publications cited in this article were originally collected and analyzed after obtaining approval from local ethics committees and after obtaining informed consent from participants.
Results
TECAC has assembled genetic information on 16,200 males with TGCT from multiple sources in Europe and North America. This total incorporates genotype data from existing external resources and genetic data obtained through centralized efforts conducted by TECAC. For these men, information on common genetic variants is available from SNP-array platforms (13,500 men; Table 1) or low-pass whole-genome sequencing (2700 men; Table 2). For 3,800 of these men, information on rare (and common) genetic variation is also available from whole-exome sequencing (Table 2). Genetic information on males without TGCT derives from studies designed to assess risk of TGCT or from publicly available resources in which genotyping has been conducted on a broad study sample for multiple purposes. Phenotypic information is available on over 12,700 TGCT cases (Table 3), representing most centers contributing individual-level data to TECAC. However, the degree of completeness of phenotypic information varies by TECAC center and reflects differences in survey instruments completed upon enrollment onto center-specific study protocols and/or differences in the availability of information through other means, e.g., electronic patient record, pathology reports, national disease registries.
Table 1.
Summary of SNP-array data available through TECAC.
| Resource/Site | Males with TGCT |
Males without TGCT |
Data | Imputation backbone |
Reference |
|---|---|---|---|---|---|
| Copenhagen University Hospital, DK | 183 | 363 | Summary statistics | 1000 Genomes | Dalgaard et al.28 |
| deCODE Genetics, IS | 300 | 151,991 | Summary statistics | (WGS) | Gudbjartsson et al.29 |
| Institute of Cancer Research, UK | 985 | 4,945 | Individual genotype | 1000 Genomes | Litchfield et al.30 |
| Karolinska Institutet, SE/Oslo Metropolitan University, NO/Cancer Registry of Norway, NO | 1,326 | 6,687 | Summary statistics | 1000 Genomes | Kristiansen et al.31 |
| National Cancer Institute, US | 582 | 1,056 | Individual genotype | 1000 Genomes | Schumacher et al.16 |
| Oncoarray | 3,198 | 2,937 | Individual genotype | HRC | Litchfield et al.32 |
| Penn Medicine Biobank, US | 112 | 1,336 | Individual genotype | HRC | Verma et al.33 |
| TECAC | |||||
| Fred Hutchinson Cancer Center, US | 472 | 986 | Individual genotype | HRC | Pluta et al.19 |
| Karolinska Institutet, SE/Oslo Metropolitan University, NO/Cancer Registry of Norway, NO | 866 | 184 | Individual genotype | HRC | Pluta et al.19 |
| MD Anderson Cancer Center, US | 271 | 37 | Individual genotype | HRC | Pluta et al.19 |
| Oslo University Hospital, NO | 660 | 0 | Individual genotype | HRC | Pluta et al.19 |
| Princess Margaret Cancer Center, CA | 380 | 0 | Individual genotype | HRC | Pluta et al.19 |
| Radboud University, NL | 299 | 1212 | Individual genotype | HRC | Pluta et al.19 |
| Universities of Leeds and Newcastle, UKa | 381 | 239 | Individual genotype | HRC | Pluta et al.19 |
| University of Groningen, NL | 487 | 0 | Individual genotype | HRC | Pluta et al.19 |
| University of Padova, IT | 323 | 336 | Individual genotype | HRC | Pluta et al.19 |
| University of Pennsylvania, US | 252 | 616 | Individual genotype | HRC | Pluta et al.19 |
| University of Regensburg, DE | 427 | 426 | Individual genotype | HRC | Pluta et al.19 |
| University of Southern California, US | 406 | 0 | Individual genotype | HRC | Pluta et al.19 |
| University of Turin, IT | 180 | 275 | Individual genotype | HRC | Pluta et al.19 |
| Yale University, US | 194 | 361 | Individual genotype | HRC | Pluta et al.19 |
| The Cancer Genome Atlas (TCGA) | 139 | 0 | Individual genotype | HRC | Shen et al.34 |
| UK Biobank, UK | 697 | 8,716 | Summary statistics | HRC | Bycroft et al.35 |
| University of Pennsylvania, US | 481 | 919 | Individual genotype | 1000 Genomes | Kanetsky et al.15 |
Abbreviations: HRC, haplotype reference consortium; WGS, whole-genome sequencing; TECAC, Testicular Cancer Consortium; TGCT, testicular germ cell tumors.
Some sample duplication exists in the Oncoarray and Universities of Leeds and Newcastle sample sets.
Table 2.
Summary of sequencing data available through TECAC.
| Resource/Site | Males with TGCT |
Males without TGCT |
Platform |
|---|---|---|---|
| Whole-exome sequencing | |||
| Centro Nacional de Investigaciones Oncológicas, ES | 19 | ||
| Dana Farber Cancer Institute, US | 49 | Xgen-exome-research panel | |
| Institute of Cancer Research, UK | 919 | Illumina TruSeq Exome | |
| National Cancer Institute, US/University Pennsylvania, US | 249 | NimbleGen SeqCap EZ Exome v3.0 | |
| Penn Medicine Biobank, US | 136 | xGEN Exome Hyb v2 plus | |
| University of Pennsylvania, US | 33 | SureSelect Human All Exon v6 | |
| University of Pennsylvania, US | 887 | Twist Comprehensive Exome | |
| TECAC | |||
| Centro Nacional de Investigaciones Oncológicas, ES | 30 | Twist WES v2 | |
| Fred Hutchinson Cancer Center, US | 110 | 253 | Twist WES v2 |
| Karolinska Institutet, SE/Oslo Metropolitan University, NO/Cancer Registry of Norway, NO | 327 | 9 | Twist WES v2 |
| Oslo University Hospital, NO | 182 | Twist WES v2 | |
| Princess Margaret Cancer Center, CA | 113 | Twist WES v2 | |
| Radboud University, NL | 74 | 89 | Twist WES v2 |
| Universities of Leeds and Newcastle, UK | 93 | Twist WES v2 | |
| University of Groningen, NL | 134 | Twist WES v2 | |
| University of Padova, IT | 89 | 26 | Twist WES v2 |
| University of Pennsylvania, US | 74 | 14 | Twist WES v2 |
| University of Regensburg, DE | 69 | 64 | Twist WES v2 |
| University of Southern California, US | 2 | Twist WES v2 | |
| University of Turin, IT | 28 | 15 | Twist WES v2 |
| Yale University, US | 50 | 12 | Twist WES v2 |
| The Cancer Genome Atlas (TCGA) | 150 | NimbleGen HGSC VCRome 2.1 | |
| Whole-genome sequencing | |||
| TECAC | |||
| Centro Nacional de Investigaciones Oncológicas, ES | 556 | 663 | Low pass WGS |
| Institute of Cancer Research, UK | 626 | 95 | Low pass WGS |
| MD Anderson Cancer Center, US | 356 | 206 | Low pass WGS |
| Memorial Sloan Kettering Cancer Center, US | 25 | 0 | Low pass WGS |
| Princess Margaret Cancer Center, CA | 256 | 45 | Low pass WGS |
| University of Florence, IT | 81 | 71 | Low pass WGS |
| University of Groningen, NL | 383 | 68 | Low pass WGS |
| University of Minnesota, US | 54 | 0 | Low pass WGS |
| University of Padova, IT | 77 | 81 | Low pass WGS |
| University of Pennsylvania, US | 289 | 0 | Low pass WGS |
| University of Turin, IT | 69 | 12 | Low pass WGS |
Abbreviations: WES, whole-exome sequencing; WGS, whole-genome sequencing; TECAC, Testicular Cancer Consortium; TGCT, testicular germ cell tumors.
Table 3.
Harmonized phenotype data available through TECAC.
| Characteristic | Males with TGCT n=12,759 |
Males without TGCT n=10,806 |
|---|---|---|
| Center [n (%)] | ||
| Centro Nacional de Investigaciones Oncológicas, ES | 650 (5.1) | 750 (6.9) |
| Copenhagen University Hospital, DK | 367 (2.9) | 0 (0) |
| Fred Hutchinson Cancer Center, US | 540 (4.2) | 1280 (11.8) |
| Institute of Cancer Research, UK | 970 (7.6) | 2537 (23.5) |
| Karolinska Institutet, SE/Oslo Metropolitan University, NO/Cancer Registry of Norway, NO | 2013 (15.8) | 0 (0) |
| MD Anderson Cancer Center, US | 1001 (7.8) | 350 (3.2) |
| Memorial Sloan Kettering Cancer Center, US | 32 (0.3) | 0 (0) |
| National Cancer Institute, US (FTCS) | 249 (2.0) | 1455 (13.5) |
| National Cancer Institute, US | 767 (6.0) | 929 (8.6) |
| Oslo University Hospital, NO | 738 (5.8) | 380 (3.5) |
| Princess Margaret Cancer Center, CA | 861 (6.7) | 68 (0.6) |
| Radboud University, NL | 316 (2.5) | 1274 (11.8) |
| Ulm University, DE | 461 (3.6) | 1 (0) |
| Universities of Leeds and Newcastle, UK | 1116 (8.7) | 196 (1.8) |
| University of Florence, IT | 94 (0.7) | 86 (0.8) |
| University of Southern California, US | 583 (4.6) | 0 (0) |
| University of Groningen, NL | 506 (4.0) | 4 (0) |
| University of Padova, IT | 506 (4.0) | 516 (4.8) |
| University of Pennsylvania, US | 373 (2.9) | 0 (0) |
| University of Turin, IT | 260 (2.0) | 467 (4.3) |
| Yale University, US | 356 (2.8) | 513 (4.7) |
| Race [n (%)] | ||
| White | 8905 (95.5) | 7866 (94.0) |
| Black | 70 (0.8) | 114 (1.4) |
| Asian | 87 (0.9) | 96 (1.1) |
| Native American | 17 (0.2) | 21 (0.3) |
| Other | 242 (2.6) | 271 (3.2) |
| Missinga | 3438 | 2438 |
| Ethnicity [n (%)] | ||
| Non-Hispanic | 7013 (94.3) | 6108 (96.3) |
| Hispanic | 420 (5.7) | 232 (3.7) |
| Missinga | 5326 | 4466 |
| Marital status [n (%)] | ||
| Single | 1345 (45) | 715 (36.8) |
| Not single | 1643 (55) | 1230 (63.2) |
| Missinga | 9771 | 8861 |
| Height (in.) [mean, (sd)] | 70.76 (3) | 70.52 (3) |
| Weight (lbs.) [mean (sd)] | 185.84 (35) | 187.21 (35) |
| Number of children [n (%)] | ||
| 0 | 2810 (58.2) | 3354 (53.9) |
| 1 | 749 (15.5) | 785 (12.6) |
| 2 | 893 (18.5) | 1374 (22.1) |
| 3 | 272 (5.6) | 535 (8.6) |
| 4 | 81 (1.7) | 130 (2.1) |
| 5+ | 24 (0.5) | 50 (0.8) |
| Missinga | 7930 | 4578 |
| Family history of TGCT [n (%)]b | ||
| No | 7275 (92.6) | 6096 (87.0) |
| Yes | 585 (7.4) | 907 (13.0) |
| Missinga | 4899 | 3803 |
| Cryptorchidism [n (%)] | ||
| No | 6026 (90.2) | 7097 (98.7) |
| Yes | 655 (9.8) | 96 (1.3) |
| Missinga | 6078 | 3613 |
| Histology [n (%)] | ||
| Seminoma | 5332 (48.9) | - |
| Nonseminoma | 3577 (32.8) | - |
| Mixed | 1981 (18.2) | - |
| Missinga | 1859 | - |
| Number of TGCT per man [n (%)] | ||
| One | 6206 (94.7) | - |
| Two | 345 (5.3) | - |
| Missinga | 6208 | - |
Abbreviations: FTCS, Familial Testicular Cancer study; TECAC, Testicular Cancer Consortium; TGCT, testicular germ cell tumors.
Most missingness results from studies that did not collect this information.
Family history of 1st or 2nd degree relative with TGCT.
Analyses of genetic information have resulted in publications reporting on genetic susceptibility to TGCT arising from candidate studies of the sex determination and DNA repair pathways,13,14 genome-wide association studies,15-19 and a transcriptome-wide association study20 (Table 4). Over 100 genetic loci have been associated with TGCT susceptibility, most identified from these TECAC investigations, and all studies have been led by TECAC investigators. Combined data from SNP-arrays have been used to conduct a genome-wide association study of cryptorchidism, a strong TGCT risk factor; findings suggest RBFOX paralogs may play a role in risk of undescended testes.21 Combined data from SNP-arrays also have been used to determine genetically inferred peripheral blood leukocyte telomere length, for which there was no evidence of an association with TGCT susceptibility.22 Analyses of assembled exome data have identified CHEK2 as a TGCT moderate-penetrance locus and the roles of genes involved in chromosomal segregation and protein-targeting in TGCT etiology.23,24 Genotypes available from TECAC also have been used in efforts to functionally characterize the pan-cancer susceptibility locus housing CLPTM1L finding an allele-specific influence of rs36115365 on TERT expression.25 TECAC genotypes were also used to conduct a pan-cancer analysis of common genetic variation,26 which revealed the distinctive genetic nature of TGCT arising from the larger effect sizes for susceptibility variants compared to most other cancers.
Table 4.
Published articles using genetic information assembled by TECAC.
| Title of article | Year | Reference | PMID |
|---|---|---|---|
| A second independent locus within DMRT1 is associated with testicular germ cell tumor susceptibility | 2011 | Kanetsky, et al.15 | 21551455 |
| Testicular germ cell tumor susceptibility associated with the UCK2 locus on chromosome 1q23 | 2013 | Schumacher, et al.16 | 23462292 |
| Meta-analysis identifies four new loci associated with testicular germ cell tumor | 2013 | Chung, et al.17 | 23666239 |
| Pathway-based analysis of GWAs data identifies association of sex determination genes with susceptibility to testicular germ cell tumors | 2014 | Koster, et al.14 | 24943593 |
| Functional characterization of a multi-cancer risk locus on chr5p15.33 reveals regulation of TERT by ZNF148 | 2017 | Fang, et al.25 | 28447668 |
| Meta-analysis of five genome-wide association studies identifies multiple new loci associated with testicular germ cell tumor | 2017 | Wang, et al.18 | 28604732 |
| Subphenotype meta-analysis of testicular cancer genome-wide association study data suggests a role for RBFOX family genes in cryptorchidism susceptibility | 2018 | Wang, et al.21 | 29618007 |
| Association of inherited pathogenic variants in checkpoint kinase 2 (CHEK2) with susceptibility to testicular germ cell tumors | 2019 | AlDubayan, et al.23 | 30676620 |
| Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers | 2020 | Zhang, et al.26 | 32620889 |
| Lack of pathogenic germline DICER1 variants in males with testicular germ-cell tumors | 2020 | Vasta, et al.36 | 33158809 |
| Genetically inferred telomere length and testicular germ cell tumor risk | 2021 | Brown, et al.22 | 33737296 |
| Identification of 22 susceptibility loci associated with testicular germ cell tumors | 2021 | Pluta, et al.19 | 34301922 |
| Association study between polymorphisms in DNA methylation-related genes and testicular germ cell tumor risk | 2022 | Grasso, et al.13 | 35700037 |
| Germline exome sequencing for men with testicular germ cell tumor reveals coding defects in chromosomal segregation and protein-targeting genes | 2024 | Pyle, et al.24 | 37246069 |
| Identification of genes associated with testicular germ cell tumor susceptibility through a transcriptome-wide association study | 2025 | Ugalde-Morales, et al.20 | 39999848 |
Abbreviations: TECAC, Testicular Cancer Consortium.
At the time of writing, TECAC’s ongoing genetic analyses include a next-sequential genome-wide association study and a next-sequential transcriptome-wide association study using information from over 16,200 males with TGCT, and an exome-wide association study of common and rare genetic variation using information from over 3800 males with TGCT.
Discussion
The sharing of genetic and phenotypic data by TECAC centers to inform large studies of TGCT susceptibility has led to novel insights into the genetic architecture of these malignancies that would have been unachievable if conducted by individual centers or smaller collaborative efforts. Investigations conducted by TECAC investigators have discovered or confirmed the pivotal role that male germ cell development, sex determination, chromosomal segregation, and RNA transcription play in the etiology of TGCT. These findings have implications for a wide range of applications beyond TGCT control, including specification of germ cells from somatic cells and treating infertility. TECAC investigators have ongoing efforts to functionally characterize selected validated TGCT susceptibility loci.
The return on investment for continued genetic studies (e.g., through deep sequencing) to discover ‘missing heritability’ is unknown. Expanding TECAC’s centralized holdings to other biological sample types would enable alternative -omic (e.g., metabolomic, proteomic) studies of TGCT, but these efforts will require significant financial investment and substantial coordination due to likely dependence of TGCT risk on timing of non-genomic traits and exposures. However, several areas of inquiry concerning TGCT susceptibility, disease progression, and outcomes can build upon the current known genetic architecture of TGCT. Possibilities include studies that may lead to risk stratification and personalized care by learning how host genetics influence response to treatment and platinum sensitivity, disease progression, and the development of late effects; and TECAC’s current efforts to assemble data on patient outcomes will provide a resource to examine these questions. Other investigations designed to identify how inherited genetics affect somatic cell landscapes of TGCT may deepen understanding of the oncogenic process and thereby influence treatment paradigms. Because steadily rising TGCT incidence in much of Europe, North America, and Oceania implicates non-genomic environmental exposures, robust studies exploring how genetic and environmental factors may jointly influence TGCT development are needed to inform individualized strategies for primary prevention of TGCT. Because there are few established environmental risk factors for TGCT, emerging “exposome” methodology may overcome challenges to exposure assessment that arise in conventional studies of joint contributions of host genetics and environmental factors, most of which are believed to act during fetal gestation or early life. Finally, studies are warranted to assess susceptibility in genetically admixed populations as well as to investigate the interplay of TGCT genetic architecture and other conditions—cryptorchidism, hypospadias, and subfertility—that with TGCT constitute testicular dysgenesis syndrome.27
To begin to address some of these research areas, the science focus of TECAC has expanded beyond genetic epidemiology over the past decade of collaboration. It now also builds upon the broad spectrum of research and clinical expertise of investigators who have joined TECAC, including the areas of developmental and germ cell biology, classical epidemiology, disparities, medical genetics, fertility, surgery, functional genetics, and survivorship. We invite investigators, especially those outside North America and Europe, from any discipline who have access to collections of germline DNA, somatic cell DNA, or genomic information related to TGCT to consider joining TECAC to further strengthen our efforts to reduce the global burden of these malignancies.
Acknowledgements
We thank the participants in the study’s testicular cancer germ cell studies worldwide who contributed to this study. Alberto Ferlin would like to thank Dr. Maria Santa Rocca for technical assistance. Jourik A. Gietema and Coby Meijer would like to thank Nynke Zwart and Gerrie Steursma for their contributions to the genome-wide association study. Peter A. Kanetsky and Kathrine L. Nathanson would like to thank Linda Jacobs, Donna Pucci, and David Vaughn for their contributions to participant recruitment and the study participants from the University of Pennsylvania. Jeremie Nsengimana would like to thank all study participants and Louise Parkinson for coordinating the recruitment. Victoria Cortessis would like to thank the TGCT community in California for receptiveness to research, and Doug Bank for years of support of TGCT research and survivorship through the Testicular Cancer Resource Center. Csilla Krausz would like to thank Drs. Matteo Vannucci and Ginevra Farnetani from the University of Florence for their contribution to participant recruitment. Finally, we thank Kári Stefánsson and Þórunn Rafnar for their past collaboration and access to summary data from deCODE.
Funding information
The Testicular Cancer Consortium is supported by NIH grant U01CA164947 to Katherine L. Nathanson and Peter A. Kanetsky. This work was supported by the Norwegian Cancer Society (270870, 223319, and 418975), the Nordic Cancer Union (S-12/07), the Swedish Cancer Society (CAN2019/0343) and the Swedish Research Council (2019/011633); Norwegian/Swedish study was supported by the Norwegian Cancer Society (grants number 418975 – 71081 – PR-2006-0387 and PK01-2007-0375), the Nordic Cancer Union (grant number S-12/07) and the Swedish Cancer Society (grant numbers 2008/708, 2010/808, 2011/484, and CAN2012/823). The Penn GWAS (Penn) was supported by the Abramson Cancer Center at the University of Pennsylvania (P30 CA016520), and NIH grant CA114478 to Katherine L. Nathanson and Peter A. Kanetsky. Robert J. Hamilton is supported by the Dell’Elce Family Fund, Princess Margaret Cancer Foundation. The laboratory of Davor Lessel is supported by the Deutsche Krebshilfe grant (70113348). Kevin T. Nead is supported by grants from the National Cancer Institute, the National Heart, Lung, and Blood Institute, and the Cancer Prevention and Research Institute of Texas. Leeds and Newcastle University’s contributions were supported by Cancer Research UK Programme Award C588/A19167, and Jérémie Nsengimana is currently supported by the European Union Grant 101136622. The UK testicular cancer study was supported by the Institute of Cancer Research, Cancer Research UK and made use of control data generated by the Wellcome Trust Case Control Consortium (WTCCC). Clare Turnbull is supported by the Movember foundation. Stephen M. Schwartz is supported by National Cancer Institute grant R01CA085914 and contracts CN-67009 and PC-35142, and Fred Hutchinson Cancer Research Center institutional funds. Tongzhang Zheng receives support from National Cancer Center grant CA104786. Anna Gonzalez-Niera receives support from Spanish Ministry of Health Instituto Carlos III-FIS PI17/01822. The EPSAM study was supported by the Piedmont Region, and the Italian Ministry for Education, University and Research under the program “Dipartimenti di Eccellenza 2018–2022” (D15D18000410001). This research was supported in part by the Intramural Research Program of the National Institutes of Health (NIH) and by a support services contract HHSN26120130003C with IMS, Inc. Douglas R. Stewart and Jung Kim receive support from the Intramural Research Program, National Cancer Institute; Project Number ZO1-CP-10144: Clinical/Genetic Studies of Familial and Hereditary Cancer Syndromes. The contributions of the NIH authors are considered Works of the United States Government. The findings and conclusions presented in this paper are those of the authors and do not necessarily reflect the views of the NIH or the U.S. Department of Health and Human Services. The funding bodies played no direct role in the study.
Footnotes
Disclosures
The authors have no conflict of interest to disclose.
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