Disease Briefing

Testicular cancer: research and therapeutic landscape

A live synthesis of what is being targeted, what is being trialled, which datasets exist, and where the actionable gaps sit — assembled from public APIs, with every figure traceable to its source.

Generated 2026-09-30Sources Open Targets · ClinicalTrials.gov · openFDA · GEO · PubMed · Europe PMC · iCite · RePORTERRanked 67 studies · 2,601 GEO samples
Page Reading as
Reorders emphasis only — nothing is hidden or loaded on demand.

Answer block

12 genes recurrently implicated in testicular cancer — KIT, KRAS, TP53, MDM2, NANOG, POU5F1, SOX17, SOX2, CCND2, TERT, CDKN2A, XIST — triaged for what can actually be aimed at them, alongside the trials, public datasets, literature and funding around the disease. Every figure below carries its source and retrieval date in the section it comes from.

1
drugs carry an FDA label naming testicular cancer: Dactinomycin. This counts labels, not treatment — the disease is also treated with agents approved under broader indications
0
of the 12 genes above carries a drug approved in testicular cancer — 56 drug entries reach them, 48 distinct once salt forms are merged, and 12 of those are approved for other indications. A statement about these gene targets, not about the disease
1
registered CLDN6 cell-therapy trials in testicular cancer, 1 active. Counted from ClinicalTrials.gov across 4 synonyms, deduplicated by NCT id, interventional studies only — the query is published in the JSON beside this page so the number can be re-derived
7
targets carry an Open Targets tractability signal and no trial in testicular cancer that the searches found (no trial naming a drug Open Targets lists for the gene, none naming it as a cell-therapy target): KRAS, TP53, MDM2, POU5F1, SOX2, CCND2, TERT
133
human GEO series match the disease; 67 survive on-topic filtering, and only 3 are patient cohorts of 100+ samples
51
Europe PMC full-text papers name GSE3218 — the highest accession-mention count in the set. A mention is not proof of reanalysis, so read it as reach rather than reuse
$14.2M
NIH obligations in FY2025, up 7% since 2013 — while distinct core projects went 6 to 7. More distinct projects (+17%) rather than larger ones; core projects are not the same unit as laboratories

Target landscape

Open Targets · retrieved 2026-09-30 · weekly

12 genes recurrently implicated in testicular cancer, triaged for whether anything can actually be aimed at them. The zeros are the informative rows.

Of 12 recurrently implicated genes, 5 carry any drug at all. That is a statement about these 12 gene targets, not about the disease: Testicular cancer does have labelled therapy — 1 drugs, listed in the next section.

Two different questions

The table below asks what can be aimed at 12 recurrently implicated genes. That is narrower than what is approved for the disease, and narrower again than what testicular cancer is actually treated with, which includes agents approved under broader indications. All three are on this page and they are kept apart deliberately.

GeneDrugsApproval, and whether it reached this diseaseOpen Targets tractabilitycomputed from protein features and literature — a signal that a modality is worth trying, not evidence that it worksCell therapy here
KIT across cancers → 32 9 approvedCediranib, Masitinib, Midostaurin, Pazopanib, Pexidartinib, Quizartinib, Ripretinib, Sorafenib, TivozanibApproved in mast cell leukemia, acute myeloid leukemia by FAB classification, systemic mastocytosis and 5 other indications. No testicular cancer indication appears on these drugs’ labels.5 trials, none active antibody, protein degrader, small molecule —
KRAS across cancers → 3 2 approvedAdagrasib, SotorasibApproved in non-small cell lung carcinoma. No testicular cancer indication appears on these drugs’ labels.No testicular cancer trial of any of these drugs antibody, protein degrader, small molecule —
TP53 across cancers → 8 Phase 3Alrizomadlin, Cenersen, Contusugene Ladenovec, Eprenetapopt, Idasanutlin, Navtemadlin, Siremadlin, TeprasiranNo testicular cancer trial of any of these drugs other clinical modality, protein degrader, small molecule —
MDM2 across cancers → 4 Phase 3Alrizomadlin, Idasanutlin, Navtemadlin, SiremadlinNo testicular cancer trial of any of these drugs antibody, protein degrader, small molecule —
NANOG 0 No drug— — —
POU5F1 0 No drug— protein degrader, small molecule —
SOX17 0 No drug— — —
SOX2 across cancers → 0 No drug— protein degrader, small molecule —
CCND2 0 No drug— protein degrader, small molecule —
TERT across cancers → 1 1 approvedImetelstatApproved in myelodysplastic syndrome, anemia. No testicular cancer indication appears on these drugs’ labels.No testicular cancer trial of any of these drugs antibody, other clinical modality, protein degrader, small molecule —
CDKN2A across cancers → 0 No drug— — —
XIST 0 No drug— — —

Dataset evidence counts studies in the 67-study ranked set whose title or abstract names the gene; the bar is scaled to SOX2. Sources: Open Targets Platform and NCBI GEO, retrieved 2026-09-30. Clinical stage is the highest reached for any indication — see the per-drug indications noted in each row. Target-prioritisation reference only; not clinical or prescribing guidance.

What is actually approved here

openFDA drug labels · weekly

1 drug carries an FDA label naming testicular cancer: Dactinomycin. Separately, 12 of the drugs returned for the genes in the table above are approved only for other diseases and reach testicular cancer through trials, not through their labels.

1Labelled for testicular cancerFDA INDICATIONS AND USAGE names the disease
12Approved, but for another diseasereturned for the genes in the table above
3Backbone agents listing itbroad cytotoxics whose labels name many tumours
1Active cell-therapy trials naming CLDN6of 1 registered

Every label that names testicular cancer

DrugRoleWhat the label says
DactinomycinDACTINOMYCIN, Dactinomycin, dactinomycinLabelled hereMetastatic Nonseminomatous Testicular Cancer Dactinomycin for Injection is indicated for the treatment of adult and pediatric patients with metastatic, nonseminomatous testicular cancer, as part of a multi-phase, combination chemotherapy regimen.
CisplatinCisplatinBackboneAdvanced Testicular Cancer Cisplatin Injection is indicated for the treatment of advanced testicular cancer.
EtoposideAvopef, EtoposideBackboneRefractory Testicular Cancer AVOPEF, in combination with chemotherapy, is indicated for the treatment of refractory testicular cancer in adult patients.
IfosfamideIFEX, IFOSFAMIDE, IfosfamideBackboneIFEX is an alkylating drug indicated for use in adults in combination with certain other approved antineoplastic agents for third-line chemotherapy of germ cell testicular cancer.

16 labels carry a positive indication naming the disease under indications_and_usage:"testicular cancer" OR indications_and_usage:"testicular tumor" OR indications_and_usage:"germ cell tumor" OR indications_and_usage:"testicular germ cell"; they collapse to 4 distinct molecules once salt forms, biosimilars and co-formulated hyaluronidase are merged. Source: openFDA drug label API (api.fda.gov/drug/label.json), retrieved 2026-09-18. Labels change; this reflects the current label text, not the approval history. Not prescribing guidance.

Cell therapy against CLDN6

ClinicalTrials.gov · retrieved 2026-09-18 · weekly

CLDN6 is the busiest cell-therapy target among those this briefing searched in testicular cancer: 1 registered trial naming it, 1 still active.

TrialPhaseStatusTitleLast update
NCT054107171RecruitingCLDN6/GPC3/Mesothelin/AXL-CAR-NK Cell Therapy for Advanced Solid Tumors2024-06-25

1 of 1 shown, most recently active first. Source: ClinicalTrials.gov API v2, retrieved 2026-09-18. A trial counts here when its registered conditions name testicular cancer or a tumour-agnostic basket, its title names an administered cell product, and the title names this target: a HER2 CAR-T trial that adds a PD-1 antibody is a HER2 trial. A trial stating only a product code is missed.

Research momentum

PubMed MeSH · monthly

Every term below is a share of the testicular cancer literature, not a count, because the field itself grew: 2015–2018 (n=1,475) against 2021–2025 (n=1,824). A topic whose papers doubled while the field doubled has not risen.

Rising, with a real baseline

MeSH term2015–182021–25ChangeShare now
Urology0.54%2.47%4.55×45 papers
Tumor Microenvironment0.34%1.43%4.21×26 papers
Medical Oncology0.54%1.86%3.44×34 papers
Semen0.54%1.43%2.63×26 papers
Pregnancy0.75%1.81%2.43×33 papers
Semen Analysis0.47%1.15%2.43×21 papers
Adrenal Hyperplasia, Congenital0.68%1.54%2.26×28 papers
Colonic Neoplasms0.34%0.71%2.1×13 papers
Sex Cord-Gonadal Stromal Tumors0.95%1.7%1.79×31 papers
MicroRNAs2.44%4.22%1.73×77 papers

Cooling

MeSH term2015–182021–25ChangeShare now
Time Factors4.2%0.99%0.23×18 papers
Genetic Predisposition to Disease3.46%1.04%0.3×19 papers
Tomography, X-Ray Computed6.37%1.97%0.31×36 papers
Risk Assessment3.05%0.99%0.32×18 papers
Bleomycin4.27%1.43%0.33×26 papers
Recurrence2.17%0.71%0.33×13 papers

Biggest topics now

MeSH term2015–182021–25ChangeShare now
Neoplasms, Germ Cell and Embryonal44.27%50.6%1.14×923 papers
Seminoma18.98%17.93%0.94×327 papers
Orchiectomy18.31%14.14%0.77×258 papers
Biomarkers, Tumor9.76%11.35%1.16×207 papers
Neoplasm Staging14.24%11.02%0.77×201 papers
Lymph Node Excision8.0%10.42%1.3×190 papers
Neoplasm Recurrence, Local7.8%8.55%1.1×156 papers
Prognosis10.31%7.84%0.76×143 papers
Retroperitoneal Space5.69%7.68%1.35×140 papers
Testis10.37%7.46%0.72×136 papers

Publication mix

Type2015–182021–25
Clinical Trial0.0%0.1%
Randomized Controlled Trial0.7%0.4%
Review15.3%13.6%
Meta-Analysis0.9%1.4%
Case Reports0.0%4.9%

Query: Testicular Neoplasms[MeSH Major Topic] NOT ("Ovarian Neoplasms"[MeSH] OR "Leydig Cell Tumor"[MeSH] OR "Sertoli Cell Tumor"[MeSH] OR "Sertoli-Leydig Cell Tumor"[MeSH] OR "Lymphoma"[MeSH] OR "Brain Neoplasms"[MeSH] OR "Mediastinal Neoplasms"[MeSH] OR "Infertility, Male"[MeSH]). Terms need at least 12 papers in the recent window and, in the rising table, at least 5 in the earlier one — a term going from 1 paper to 12 is a large fold change and no evidence of anything. Ubiquitous descriptors (Humans, Animals, age bands) and the disease’s own term are dropped. Source: PubMed MeSH, retrieved 2026-09-12.

Disease burden

What the public sources count, and how closely each category matches this disease. The same figures for every disease on the site are on one table.

MeasureValueMatchWhat it counts
New cases each year9,810 cases/yeardirect2026
Deaths each year630 deaths/yeardirect2026
Incidence rate6.1 cases per 100,000 men per yeardirect2019-2023
Death rate0.3 deaths per 100,000 men per yeardirect2020-2024
People living with it325,990 men living with the diseasedirect2023
Median age at diagnosis33.0 yearsdirect2019-2023
median age at death40 yearsdirect2020-2024
Five-year relative survival94.6%direct2016-2022

Years of life lost (proxy)

2.5 years per case, 24,050 a year, from survival and age at diagnosis rather than from a death count. derived proxy Not the WHO/GBD measure, which uses age at death and a life table; comparable across these briefings, not with published YLL figures. What this costs to fund is in Funding.

3 assumptions behind this estimate
  • Five-year relative survival stands in for cure; a death after five years is not counted.
  • The median age at diagnosis stands in for the whole age distribution.
  • Life expectancy at birth (78.4 years) is the reference, rather than remaining expectancy at the age of death from a life table.
  • Each assumption moves the result by more than the difference between the two diseases currently on this site, so this figure separates a disease from one ten times its size, not from a close neighbour.

Funding

NIH RePORTER · quarterly

NIH obligations naming testicular cancer, after removing the 764 records across all years that matched the search but are about something else. That filter is not cosmetic: without it this section reports another field’s funding as this disease’s.

$14.2MNIH obligations, FY2025from $13.3M in FY2013 · +7%
7distinct projects funded6 in FY2013
$20.3Mpeak year was FY2021obligations, all institutes
88%of FY2025 awards from NCI7 of 8

NIH obligations by fiscal year

$5M$10M$15M$20M13151719212325
YearObligationsAwardsDistinct projectsDropped as off-topic
FY2013$13.3M6665
FY2014$14.9M8876
FY2015$16.1M8857
FY2016$14.6M5560
FY2017$13.5M4464
FY2018$11.7M4475
FY2019$15.9M4456
FY2020$3.0M8759
FY2021$20.3M9952
FY2022$18.2M111049
FY2023$17.3M9856
FY2024$15.7M10952
FY2025$14.2M8743

Where FY2025 money went

InstitutionObligationsAwards
Division Of Cancer Epidemiology And Genetics$12.3M2
University Of California-Irvine$0.8M2
University Of Minnesota$0.7M1
Massachusetts General Hospital$0.4M2
Cornell University$0.0M1

Text search testicular cancer over project title, terms and abstract, per fiscal year. Awards are individual funding actions; distinct projects collapse them by core project number, so a multi-year grant counts once. The most recent year may be incomplete. Source: NIH RePORTER, retrieved 2026-09-19.

What that buys

Against 24,050 years of life lost a year, FY2025 obligations are $591 per life-year — $1,448 per case. The estimate and its assumptions are in Disease burden.

Who funds it, FY2025

The total says how much. These say who from, through what kind of award, and to whom — which a dollar figure cannot.

NIH institutes

NCI7 · 88%
NIDA1 · 12%

Projects by administering institute. The rows above are the top 2 and account for 8 of 8.

Award mechanisms

R013 · 38%
R212 · 25%
ZIA2 · 25%
F301 · 12%

R01 is an investigator-initiated grant; ZIA is NIH intramural, meaning the work happens inside NIH rather than being funded outside it. The rows above are the top 4 and account for 8 of 8.

Where it lands

Division Of Cancer Epidemiology And Gene$12.3M · 86.5%
University Of California-Irvine$0.8M · 5.3%
University Of Minnesota$0.7M · 4.8%
Massachusetts General Hospital$0.4M · 3.1%
Cornell University$0.0M · 0.2%

Share of $14.2M in FY2025. The top three hold 97%.

Public datasets, ranked

NCBI GEO + Europe PMC + iCite · weekly

133 human GEO series match testicular cancer. Keyword relevance cannot tell a 276-sample patient cohort from a six-well cell-line experiment, so this ranking scores four things GEO does not expose: how often the accession is named in full-text papers, field-normalised citation impact, clinical annotation, and cohort type.

Composition of the 67-study ranked set

patient 20cell line 20unspecified 16mixed 10xenograft 1
20 patient20 cell line16 unspecified10 mixed1 xenograft26 carry clinical annotation17 carry survival3 patient cohorts ≥100 GEO samples2,601 GEO samples totalin 5 single-cell series the GEO sample count is the submitter’s unit (cells, libraries or pools), not patients

Established

high reuse, older
AccessionStudySamplesMentionsEurope PMCRCREvidence
GSE3218Expression Profiling of Adult Male Germ Cell Tumors2005 · array214514.7
patient cohortAPT 0.75survival244 cites
GSE12630Gene expression profiles of poorly differentiated, undifferentiated and metastatic cancers2009 · array276213.2
patient cohortAPT 0.95146 cites
GSE10783Validation Set for Prediction of Outcome in Adult Male Germ Cell Tumors2008 · array68181.3
patient cohortAPT 0.75survival60 cites
GSE18155Malignant Germ Cell Tumors Display Common microRNA Profiles Resulting in Global Changes in Expression of mRNA Targets2010 · array94135.9
APT 0.95231 cites
GSE74104Imprints and DPPA3 are bypassed during pluripotency- and differentiation-coupled methylation reprogramming in testicular germ cell tumors2016 · methylation26761.5
APT 0.5molecularNANOG48 cites
GSE1818Testicular germ cell tumors and their histological subgroups2005 · array30133.3
cell lineAPT 0.75169 cites
GSE99420Gene Expression Signatures Prognostic for Relapse in Stage I Testicular Germ Cell Tumors (TGCT)2018 · array6090.4
patient cohortAPT 0.25survivalstage9 cites
GSE3921Embryonic stem cells and pluripotent germ cell tumors2005 · array7419.3
mixedAPT 0.75531 cites

Recent

2022 onward, by score
AccessionStudySamplesMentionsEurope PMCRCREvidence
GSE197778Single-cell RNA sequencing of metastatic testicular seminoma reveals the cellular and molecular characteristics of metastatic cell lineage2022 · single-cell471.6
patient cohortAPT 0.5survivalstagemolecularPOU5F121 cites
GSE261811T cells in testicular germ cell tumors: new evidence of fundamental contributions by rare subsets2024 · single-cell423.7
patient cohortAPT 0.75survival23 cites
GSE278498Refractory testicular germ cell tumors are highly sensitive to the targeting of polycomb pathway demethylases KDM6A and KDM6B2024 · sequencing3612.5
patient cohortAPT 0.25stagemolecular14 cites
GSE262137Perfluorooctanesulfonic acid alters pro-cancer phenotypes and metabolic and transcriptional signatures in testicula germ cell tumors2024 · sequencing2623.9
cell lineAPT 0.75survival16 cites
GSE216043Genome-scale CRISPR screen reveals neddylation to contribute to cisplatin resistance of testicular germ cell tumors2023 · sequencing3621.4
mixedAPT 0.25survival16 cites
GSE256162Transcriptional and epigenetic changes from the genesis of the human male germline through to adulthood provide a map of prenatal and postnatal molecular drivers of differentiation and reveal the developmental origin of seminoma.2024 · chromatin5011.5
mixedAPT 0.25molecular11 cites

Sources: NCBI GEO + Europe PMC + iCite, retrieved 2026-09-19. SubSeries are collapsed to one row per study by linked PMID. Of 133 series retrieved, 16 were dropped by the profile’s exclusion rules and 33 named the disease only in passing. The ranked set is a relevance-ranked sample, not a census, so the composition figures describe the sample only.

Where the gaps are

Derived from the sections above · recomputed on every refresh

Each card below is a disagreement between two of the tables on this page — a drug that exists but was never tried here, a target that looks tested and was not, a gene with no drug whose product has a busy clinical programme. They are computed from the same facts as the tables, so they cannot contradict them.

KRAS

2 approved drugs (Adagrasib, Sotorasib) and no registered trial in testicular cancer naming any of them on ClinicalTrials.gov. The molecules exist; the search finds no test of them here.

NANOG

Open Targets lists no drug against it and no trial in testicular cancer names it. A bounded negative: the sources and search terms are in the JSON beside this page.

POU5F1

Open Targets lists no drug against it and no trial in testicular cancer names it. A bounded negative: the sources and search terms are in the JSON beside this page.

SOX17

Open Targets lists no drug against it and no trial in testicular cancer names it. A bounded negative: the sources and search terms are in the JSON beside this page.

SOX2

Open Targets lists no drug against it and no trial in testicular cancer names it. A bounded negative: the sources and search terms are in the JSON beside this page.

CCND2

Open Targets lists no drug against it and no trial in testicular cancer names it. A bounded negative: the sources and search terms are in the JSON beside this page.

TERT

1 approved drug (Imetelstat) and no registered trial in testicular cancer naming any of them on ClinicalTrials.gov. The molecules exist; the search finds no test of them here.

CDKN2A

Open Targets lists no drug against it and no trial in testicular cancer names it. A bounded negative: the sources and search terms are in the JSON beside this page.

XIST

Open Targets lists no drug against it and no trial in testicular cancer names it. A bounded negative: the sources and search terms are in the JSON beside this page.

How a machine reads this page

Static

This page is written to be quoted correctly by a model as much as read by a person. The same facts are available as JSON at the sibling URL below, which is what to cite. The cross-disease layer — burden, genes, drugs and antigens across every briefing — is described at /disease/api.json.

Fully server-rendered

Every figure is in the HTML at first byte. No JavaScript runs, no figure is fetched after load, and nothing on this page requires a renderer to see.

Every number carries a source

Each section names the API it came from and the date it was retrieved: Open Targets (2026-09-30), ClinicalTrials.gov (2026-09-18), openFDA (2026-09-18), NCBI GEO (2026-09-19), PubMed (2026-09-12), NIH RePORTER (2026-09-19).

Negatives stated explicitly

Where the searches find nothing for testicular cancer — no drug, no trial, no approval — the page says so in those words rather than omitting the row, and names the source searched. An absent row is unquotable; a bounded negative is the finding.

Denominators, not just percentages

Every share is printed with the count and the total it came from, so a figure can be checked rather than taken.

The filters are published

6 exclusion patterns are applied to free text before anything is ranked, because NTERA-2 is used as a model system in human neuron-differentiation models (NT2-N neurons). What was removed and why is stated in each section rather than silently applied.

{
  "disease": "Testicular cancer",
  "mesh": "Testicular Neoplasms",
  "facts": "https://usebiotransfer.org/disease/testicular-cancer.json",
  "methods": "https://usebiotransfer.org/methods/",
  "all_diseases": "https://usebiotransfer.org/disease/api.json",
  "note": "Every figure on the page is in that JSON with its source and retrieval date. Quote from it rather than from the HTML."
}