Target landscape
Open Targets · retrieved 2026-09-12 · weekly13 genes recurrently implicated in melanoma, triaged for whether anything can actually be aimed at them. The zeros are the informative rows.
Of 13 recurrently implicated genes, 9 carry any drug at all. That is a statement about these 13 gene targets, not about the disease: Melanoma does have labelled therapy — 17 drugs, listed in the next section.
Two different questions
The table below asks what can be aimed at 13 recurrently implicated genes. That is narrower than what is approved for the disease, and narrower again than what melanoma is actually treated with, which includes agents approved under broader indications. All three are on this page and they are kept apart deliberately.
| Gene | Drugs | Approval, and whether it reached this disease | Open Targets tractabilitycomputed from protein features and literature — a signal that a modality is worth trying, not evidence that it works | Cell therapy here |
|---|---|---|---|---|
| BRAF across cancers → | 16 | 6 approvedDabrafenib, Encorafenib, Regorafenib, Sorafenib, Tovorafenib, VemurafenibApproved in melanoma: Dabrafenib, Encorafenib, Vemurafenib.41 active of 257 melanoma trials | antibody, protein degrader, small molecule | — |
| NRAS across cancers → | 1 | Phase 2SalirasibNo melanoma trial of any of these drugs | antibody, protein degrader, small molecule | — |
| NF1 across cancers → | 0 | No drug— | antibody, protein degrader, small molecule | — |
| KIT across cancers → | 33 | 15 approvedAvapritinib, Cediranib, Dasatinib, Imatinib, Masitinib, Midostaurin, Pazopanib, Pexidartinib, Quizartinib, Regorafenib, Ripretinib, Sorafenib, Sunitinib, Sunitinib Malate, TivozanibApproved in gastrointestinal stromal tumor, blast phase chronic myelogenous leukemia, BCR-ABL1 positive, lymphoid leukemia and 15 other indications. No melanoma indication appears on these drugs’ labels.13 active of 118 melanoma trials | antibody, protein degrader, small molecule | — |
| MAP2K1 | 17 | 6 approvedBinimetinib, Cobimetinib, Mirdametinib, Selumetinib, Trametinib, Trametinib Dimethyl SulfoxideApproved in melanoma: Binimetinib, Cobimetinib, Trametinib.56 active of 215 melanoma trials | antibody, protein degrader, small molecule | — |
| CDKN2A across cancers → | 0 | No drug— | — | — |
| PTEN across cancers → | 0 | No drug— | antibody, protein degrader, small molecule | — |
| TERT across cancers → | 1 | 1 approvedImetelstatApproved in anemia, myelodysplastic syndrome. No melanoma indication appears on these drugs’ labels.No melanoma trial of any of these drugs | antibody, other clinical modality, protein degrader, small molecule | — |
| PDCD1 | 26 | 9 approvedCemiplimab, Dostarlimab, Nivolumab, Pembrolizumab, Retifanlimab, Serplulimab, Sintilimab, Tislelizumab, ToripalimabApproved in melanoma: Nivolumab, Pembrolizumab.203 active of 521 melanoma trials | antibody, other clinical modality, protein degrader, small molecule | 5 active of 16 trials |
| CTLA4 | 6 | 2 approvedIpilimumab, TremelimumabApproved in melanoma: Ipilimumab.45 active of 203 melanoma trials | antibody, small molecule | 0 active of 10 trials |
| LAG3 | 6 | 1 approvedRelatlimabApproved in melanoma. No melanoma indication appears on these drugs’ labels.38 active of 53 melanoma trials | antibody, other clinical modality | 0 active of 1 trial |
| MITF | 0 | No drug— | protein degrader, small molecule | — |
| PMEL | 2 | 1 approvedTebentafuspApproved in melanoma: Tebentafusp.13 active of 16 melanoma trials | antibody, other clinical modality | 0 active of 5 trials |
Dataset evidence counts studies in the 1140-study ranked set whose title or abstract names the gene; the bar is scaled to BRAF. Sources: Open Targets Platform and NCBI GEO, retrieved 2026-09-12. 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 · weekly17 drugs carry an FDA label naming melanoma: Afamitresgene Autoleucel, Aldesleukin, Atezolizumab, Binimetinib, Cobimetinib, Dabrafenib, Encorafenib, Ipilimumab, Lifileucel, Nivolumab, Nivolumab And Relatlimab-Rmbw, Pembrolizumab, Talimogene Laherparepvec, Tebentafusp, Trametinib, Vemurafenib, Vusolimogene Oderparepvec-Wtpg. Separately, 29 of the drugs returned for the genes in the table above are approved only for other diseases and reach melanoma through trials, not through their labels.
Every label that names melanoma
| Drug | Role | What the label says |
|---|---|---|
| Afamitresgene AutoleucelTECELRA | Labelled here | TECELRA is a melanoma-associated antigen A4 (MAGE-A4)-directed genetically modified autologous T cell immunotherapy indicated for the treatment of adults and pediatric patients 12 years of age and older with unresectable or metastatic synovial sarcoma who have received prior chemotherapy, are HLA-A*02:01P, -A*02:02P, -A*02:03P, or -A*02:06P positive and whose tumor expresses the MAGE-A4 antigen... |
| AldesleukinPROLEUKIN | Labelled here | Metastatic Melanoma Proleukin is indicated for the treatment of adults with metastatic melanoma. |
| AtezolizumabTECENTRIQ, Tecentriq Hybreza | Labelled here | Melanoma in combination with cobimetinib and vemurafenib for the treatment of adult patients with BRAF V600 mutation-positive unresectable or metastatic melanoma. |
| BinimetinibMEKTOVI | Labelled here | BRAF V600E or V600K Mutation-Positive Unresectable or Metastatic Melanoma MEKTOVI is indicated, in combination with encorafenib, for the treatment of patients with unresectable or metastatic melanoma with a BRAF V600E or V600K mutation, as detected by an FDA-approved test [see Dosage and Administration |
| CobimetinibCotellic | Labelled here | Unresectable or Metastatic Melanoma COTELLIC ® is indicated for the treatment of adult patients with unresectable or metastatic melanoma with a BRAF V600E or V600K mutation, in combination with vemurafenib. |
| DabrafenibTafinlar | Labelled here | ( 1.2 , 2.1 ) the adjuvant treatment of patients with melanoma with BRAF V600E or V600K mutations, as detected by an FDA-approved test, and involvement of lymph node(s), following complete resection. |
| EncorafenibBRAFTOVI | Labelled here | BRAF V600E or V600K Mutation–Positive Unresectable or Metastatic Melanoma BRAFTOVI is indicated, in combination with binimetinib, for the treatment of patients with unresectable or metastatic melanoma with a BRAF V600E or V600K mutation, as detected by an FDA-authorized test [see Dosage and Administration |
| IpilimumabYERVOY | Labelled here | Adjuvant Treatment of Melanoma YERVOY is indicated for the adjuvant treatment of adult patients with cutaneous melanoma with pathologic involvement of regional lymph nodes of more than 1 mm who have undergone complete resection, including total lymphadenectomy. |
| LifileucelAMTAGVI | Labelled here | AMTAGVI is a tumor-derived autologous T cell immunotherapy indicated for the treatment of adult patients with unresectable or metastatic melanoma previously treated with a PD-1 blocking antibody, and if BRAF V600 mutation positive, a BRAF inhibitor with or without a MEK inhibitor. |
| NivolumabOPDIVO, OPDIVO QVANTIG | Labelled here | Melanoma • adult and pediatric (12 years and older who weigh 30 kg or greater) patients with unresectable or metastatic melanoma. |
| Nivolumab And Relatlimab-RmbwOPDUALAG | Labelled here | OPDUALAG™ is indicated for the treatment of adult and pediatric patients 12 years of age or older with unresectable or metastatic melanoma. |
| PembrolizumabKEYTRUDA, KEYTRUDA QLEX | Labelled here | Melanoma KEYTRUDA ® is indicated for the treatment of patients with unresectable or metastatic melanoma. |
| Talimogene LaherparepvecImlygic | Labelled here | IMLYGIC is a genetically modified oncolytic viral therapy indicated for the local treatment of unresectable cutaneous, subcutaneous, and nodal lesions in patients with melanoma recurrent after initial surgery. |
| TebentafuspKIMMTRAK | Labelled here | KIMMTRAK is indicated for the treatment of HLA-A*02:01-positive adult patients with unresectable or metastatic uveal melanoma. |
| TrametinibMekinist | Labelled here | ( 1.1 , 2.1 ) the adjuvant treatment of patients with melanoma with BRAF V600E or V600K mutations, as detected by an FDA-approved test, and involvement of lymph node(s), following complete resection. |
| VemurafenibZELBORAF | Labelled here | Unresectable or Metastatic Melanoma ZELBORAF ® is indicated for the treatment of patients with unresectable or metastatic melanoma with BRAF V600E mutation as detected by an FDA-approved test. |
| Vusolimogene Oderparepvec-WtpgTudriqev | Labelled here | TUDRIQEV™ is indicated in combination with nivolumab for the treatment of adult patients with unresectable advanced cutaneous melanoma who experienced disease progression with a programmed death receptor-1 (PD-1)-blocking antibody-based regimen. |
| DacarbazineDacarbazine | Backbone | Dacarbazine for Injection is indicated in the treatment of metastatic malignant melanoma. |
| MelphalanHepzato Kit | Backbone | HEPZATO is an alkylating drug indicated as a liver-directed treatment for adult patients with uveal melanoma with unresectable hepatic metastases affecting less than 50% of the liver and no extrahepatic disease, or extrahepatic disease limited to the bone, lymph nodes, subcutaneous tissues, or lung that is amenable to resection or radiation.( 1 ) |
| Technetium Tc 99M Sulfur ColloidKit for the Prepartion of Technetium Tc99m Sulfur Colloid | Not a therapy | Technetium Tc 99m Sulfur Colloid Injection is indicated: In adults, to assist in the: localization of lymph nodes draining a primary tumor in patients with breast cancer or malignant melanoma when used with a hand-held gamma counter. evaluation of peritoneo-venous (LeVeen) shunt patency. |
| Technetium Tc 99M Sulfur Colloid KitKit for the Preparation of Technetium Tc 99m Sulfur Colloid | Not a therapy | Technetium Tc 99m Sulfur Colloid Injection is indicated: In adults, to assist in the: Localization of lymph nodes draining a primary tumor in patients with breast cancer or malignant melanoma when used with a hand-held gamma counter. |
| TilmanoceptKit for the preparation of Lymphoseek (technetium Tc 99m tilmanocept) | Not a therapy | ( 1 ) • Guiding sentinel lymph node biopsy using a handheld gamma counter in patients with clinically node negative squamous cell carcinoma of the oral cavity, breast cancer or melanoma. |
48 labels match indications_and_usage:"melanoma"; they collapse to 22 distinct molecules once salt forms, biosimilars and co-formulated hyaluronidase are merged. Diagnostic and contrast agents (Technetium Tc 99M Sulfur Colloid, Technetium Tc 99M Sulfur Colloid Kit, Tilmanocept) are listed but are not treatments. Source: openFDA drug label API (api.fda.gov/drug/label.json), retrieved 2026-09-12. Labels change; this reflects the current label text, not the approval history. Not prescribing guidance.
Cell therapy against TIL
ClinicalTrials.gov · retrieved 2026-09-12 · weeklyTIL is the busiest cell-therapy antigen in melanoma: 58 registered trials, 18 still active, 2 withdrawn before enrolling anyone.
| Trial | Phase | Status | Title | Last update |
|---|---|---|---|---|
| NCT06783270 | 1 | Recruiting | T-cell Therapy with CRISPR PD1-edited Tumor Infiltrating Lymphocytes for Patients with Metastatic Melanoma | 2025-01-20 |
| NCT06630611 | 2 | Recruiting | Evaluation of a Pragmatic Approach to Adoptive Cell Therapy (ACT) Using an IL2 Analog (ANV419) vs High Dose IL2 After Tumor Infiltrating Lymphocytes (TIL) Therapy in Patients With Melanoma, NSCLC and Cervical Cancer (PragmaTIL) | 2025-01-28 |
| NCT02621021 | 2 | Recruiting | A Phase 2 Trial for Metastatic Melanoma Using Adoptive Cell Therapy With Tumor Infiltrating Lymphocytes Plus IL-2 Either Alone or Following the Administration of Pembrolizumab | 2026-08-20 |
| NCT05902520 | 1 | Active | Adoptive Cell Therapy Using Cancer Specific CD8+ Tumor Infiltrating Lymphocytes in Adult Patients With Solid Tumors | 2026-01-08 |
| NCT05176470 | 1 | Active | Neoadj Admin Autologous Tumor Infiltrating Lymphocytes & Pembrolizumab for Treatment of Adv Melanoma Patients | 2026-02-24 |
| NCT06961786 | 1 | Active | TNFα and IL-2 Coding Oncolytic Adenovirus TILT-123 With Lymphocyte-depleting Chemotherapy and TILs in the Treatment of Melanoma | 2026-03-05 |
| NCT06566092 | 1 | Active | Study of Autologous Tumor-Infiltrating Lymphocytes in Pediatric, Adolescent, and Young Adult Participants | 2026-04-06 |
| NCT01955460 | 1 | Active | Genetically Modified T-Cells Followed by Aldesleukin in Treating Patients With Stage III-IV Melanoma | 2026-04-15 |
| NCT07288203 | 2 | Active | A Study of Lifileucel (Tumor-infiltrating Lymphocytes) in Adults With Advanced Melanoma | 2026-04-20 |
| NCT03467516 | 2 | Active | Adoptive Transfer of Tumor Infiltrating Lymphocytes for Metastatic Uveal Melanoma | 2026-06-01 |
10 of 58 shown, most recently active first. Other antigens searched: PD-1 (16), NY-ESO-1 (11), CTLA-4 (10), MART-1 (9), gp100 (5), GD2 (4), LAG-3 (1), CSPG4 (1). Source: ClinicalTrials.gov API v2, retrieved 2026-09-12. Trials are matched on the antigen named in the title or intervention, so a trial stating only a product code is missed.
Research momentum
PubMed MeSH · monthlyEvery term below is a share of the melanoma literature, not a count, because the field itself grew: 2015–2018 (n=6,000) against 2021–2025 (n=6,000). A topic whose papers doubled while the field doubled has not risen.
These are sample shares. The two windows hold 12,150 and 15,863 papers; MeSH terms were read from an evenly spaced sample of 6,000 and 6,000 of them, taken across the whole window rather than from its most recent papers. Percentages carry sampling error of roughly a percentage point and small differences between two terms are not meaningful.
Rising, with a real baseline
| MeSH term | 2015–18 | 2021–25 | Change | Share now |
|---|---|---|---|---|
| Artificial Intelligence | 0.08% | 1.33% | 15.98× | 80 papers |
| Deep Learning | 0.08% | 1.17% | 13.98× | 70 papers |
| Neural Networks, Computer | 0.18% | 1.25% | 6.82× | 75 papers |
| Hydrogels | 0.08% | 0.55% | 6.59× | 33 papers |
| Extracellular Vesicles | 0.12% | 0.68% | 5.85× | 41 papers |
| Molecular Docking Simulation | 0.22% | 0.87% | 4.0× | 52 papers |
| Machine Learning | 0.25% | 0.97% | 3.87× | 58 papers |
| Chitosan | 0.08% | 0.32% | 3.8× | 19 papers |
| Neoadjuvant Therapy | 0.38% | 1.45% | 3.78× | 87 papers |
| Single-Cell Analysis | 0.2% | 0.72% | 3.58× | 43 papers |
Cooling
| MeSH term | 2015–18 | 2021–25 | Change | Share now |
|---|---|---|---|---|
| Survival Analysis | 3.53% | 0.3% | 0.08× | 18 papers |
| Kaplan-Meier Estimate | 3.0% | 0.35% | 0.12× | 21 papers |
| Antibodies, Monoclonal | 5.8% | 0.8% | 0.14× | 48 papers |
| Time Factors | 2.53% | 0.38% | 0.15× | 23 papers |
| Mice, Inbred BALB C | 1.75% | 0.28% | 0.16× | 17 papers |
| Tumor Burden | 2.45% | 0.42% | 0.17× | 25 papers |
Biggest topics now
| MeSH term | 2015–18 | 2021–25 | Change | Share now |
|---|---|---|---|---|
| Skin Neoplasms | 49.75% | 51.03% | 1.03× | 3062 papers |
| Cutaneous Malignant Melanoma | 8.12% | 13.58% | 1.67× | 815 papers |
| Immunotherapy | 7.93% | 11.37% | 1.43× | 682 papers |
| Tumor Microenvironment | 3.23% | 10.38% | 3.21× | 623 papers |
| Immune Checkpoint Inhibitors | 0.0% | 10.02% | 100167.67× | 601 papers |
| Prognosis | 10.78% | 9.97% | 0.92× | 598 papers |
| Proto-Oncogene Proteins B-raf | 9.22% | 6.97% | 0.76× | 418 papers |
| Biomarkers, Tumor | 7.12% | 6.55% | 0.92× | 393 papers |
| Mutation | 7.87% | 6.18% | 0.79× | 371 papers |
| Cell Proliferation | 10.13% | 5.97% | 0.59× | 358 papers |
Publication mix
| Type | 2015–18 | 2021–25 |
|---|---|---|
| Clinical Trial | 0.0% | 0.0% |
| Randomized Controlled Trial | 1.6% | 1.0% |
| Review | 11.9% | 10.7% |
| Meta-Analysis | 1.1% | 1.0% |
| Case Reports | 0.0% | 2.5% |
Query: Melanoma[MeSH Major Topic] NOT ("Uveal Neoplasms"[MeSH] OR "Choroid Neoplasms"[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. Windows are read whole where they fit and sampled where they do not; the totals and the sample sizes are both in the JSON beside this page. 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.
| Measure | Value | Match | What it counts |
|---|---|---|---|
| New cases each year | 112,000 cases/year | direct | 2026 SEER Cancer Stat Facts, Melanoma of the Skin, retrieved 2026-09-12 |
| Deaths each year | 8,510 deaths/year | direct | 2026 SEER Cancer Stat Facts, Melanoma of the Skin, retrieved 2026-09-12 |
| Incidence rate | 22.3 cases per 100,000 per year | direct | 2019-2023 SEER Cancer Stat Facts, Melanoma of the Skin, retrieved 2026-09-12 |
| Death rate | 2 deaths per 100,000 per year | direct | 2020-2024 SEER Cancer Stat Facts, Melanoma of the Skin, retrieved 2026-09-12 |
| People living with it | 1,573,288 people living with the disease | direct | 2023 SEER Cancer Stat Facts, Melanoma of the Skin, retrieved 2026-09-12 |
| Median age at diagnosis | 67.0 years | direct | 2019-2023 SEER Cancer Stat Facts, Melanoma of the Skin, retrieved 2026-09-12 |
| median age at death | 73 years | direct | 2020-2024 SEER Cancer Stat Facts, Melanoma of the Skin, retrieved 2026-09-12 |
| Five-year relative survival | 94.7% | direct | 2016-2022 SEER Cancer Stat Facts, Melanoma of the Skin, retrieved 2026-09-12 |
Years of life lost
0.6 years per case, 67,670 a year, from survival and age at diagnosis rather than from a death count. derived proxy 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 · quarterlyNIH obligations naming melanoma, after removing the 11,130 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.
NIH obligations by fiscal year
| Year | Obligations | Awards | Distinct projects | Dropped as off-topic |
|---|---|---|---|---|
| FY2013 | $129.6M | 304 | 236 | 694 |
| FY2014 | $128.9M | 304 | 243 | 716 |
| FY2015 | $132.6M | 327 | 271 | 759 |
| FY2016 | $133.6M | 334 | 285 | 749 |
| FY2017 | $148.2M | 345 | 282 | 825 |
| FY2018 | $147.6M | 365 | 295 | 1,077 |
| FY2019 | $163.9M | 418 | 308 | 926 |
| FY2020 | $163.4M | 370 | 305 | 902 |
| FY2021 | $172.9M | 364 | 298 | 899 |
| FY2022 | $181.3M | 373 | 308 | 899 |
| FY2023 | $171.9M | 351 | 287 | 918 |
| FY2024 | $144.7M | 322 | 269 | 928 |
| FY2025 | $137.3M | 272 | 238 | 838 |
Where FY2025 money went
| Institution | Obligations | Awards |
|---|---|---|
| Division Of Basic Sciences - Nci | $18.9M | 11 |
| Wistar Institute | $8.6M | 12 |
| University Of Pittsburgh At Pittsburgh | $8.2M | 14 |
| Massachusetts General Hospital | $7.0M | 9 |
| New York University School Of Medicine | $6.2M | 17 |
| Division Of Cancer Epidemiology And Genetics | $5.9M | 0 |
| Yale University | $4.7M | 7 |
| National Heart, Lung, And Blood Institute | $3.0M | 0 |
| Cedars-Sinai Medical Center | $2.8M | 0 |
| Oregon Health & Science University | $2.7M | 0 |
Text search melanoma 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 2026-09-12.
What that buys
Against 67,670 years of life lost a year, FY2025 obligations are $2,028 per life-year — $1,226 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
Projects by administering institute. The rows above are the top 10 and account for 268 of 272.
Award mechanisms
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 15 and account for 235 of 272.
Where it lands
Share of $137.3M in FY2025. The top three hold 26%.
Public datasets, ranked
NCBI GEO + Europe PMC + iCite · weekly2,686 human GEO series match melanoma. Keyword relevance cannot tell a 7,186-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 1140-study ranked set
Established
high reuse, older| Accession | Study | Samples | MentionsEurope PMC | RCR | Evidence |
|---|---|---|---|---|---|
| GSE115978 | Single-cell RNA-seq of melanoma ecosystems reveals sources of T cells exclusion linked to immunotherapy clinical outcomes2018 · single-cell | 7,186 | 245 | 31.9 | patient cohortAPT 0.75survivalmolecularPD-11,126 cites |
| GSE78220 | mRNA expressions in pre-treatment melanomas undergoing anti-PD-1 checkpoint inhibition therapy2016 · sequencing | 28 | 953 | 76.1 | patient cohortAPT 0.95survivalmolecularPD-12,568 cites |
| GSE72056 | Single cell RNA-seq analysis of melanoma2016 · single-cell | 4,645 | 320 | 108.8 | patient cohortAPT 0.753,807 cites |
| GSE65904 | Whole-genome expression analysis of melanoma tumor biopsies from a population-based cohort.2015 · array | 214 | 380 | 75.4 | patient cohortAPT 0.95survival1,919 cites |
| GSE100797 | Mutational and neoantigen load predict clinical benefit of adoptive T cell therapy in melanoma2017 · sequencing | 25 | 174 | 10.9 | patient cohortAPT 0.95survivalstagemolecular400 cites |
| GSE120575 | Defining T cell states associated with response to checkpoint immunotherapy in melanoma2018 · single-cell | 48 | 227 | 44.8 | patient cohortAPT 0.751,576 cites |
| GSE115821 | Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma2018 · sequencing | 37 | 96 | 16.3 | patient cohortAPT 0.95molecularCTLA-4PD-1569 cites |
| GSE1 | NHGRI_Melanoma_class2001 · array | 38 | 524 | 26.0 | APT 0.951,355 cites |
Recent
2022 onward, by score| Accession | Study | Samples | MentionsEurope PMC | RCR | Evidence |
|---|---|---|---|---|---|
| GSE225063 | Blockade of LAG-3 and PD-1 leads to co-expression of cytotoxic and exhaustion gene modules in CD8+ T cells to promote antitumor immunity2024 · sequencing | 256 | 2 | 15.4 | patient cohortAPT 0.75survivalmolecularLAG-3NIVOLUMABPD-1152 cites |
| GSE272993 | Combination anti-PD-1 and anti-CTLA-4 therapy generates waves of clonal responses that include progenitor-exhausted CD8 T cells [dataset 1]2024 · single-cell | 360 | 1 | 10.1 | patient cohortAPT 0.95stagemolecularCTLA-4PD-1100 cites |
| GSE215121 | A single-cell analysis reveals tumor heterogeneity and immune environment of acral melanoma2022 · single-cell | 68 | 54 | 8.7 | APT 0.75147 cites |
| GSE186144 | T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanoma2022 · sequencing | 111 | 6 | 15.6 | patient cohortAPT 0.95265 cites |
| GSE171888 | The landscape of melanoma progression and immune surveillance at single cell resolution2022 · sequencing | 222 | 4 | 10.6 | patient cohortAPT 0.75191 cites |
| GSE185386 | Melanoma Brain Metastasis Atlas2022 · sequencing | 101 | 11 | 9.8 | APT 0.95172 cites |
Sources: NCBI GEO + Europe PMC + iCite, retrieved 2026-09-12. SubSeries are collapsed to one row per study by linked PMID. Of 2,656 series retrieved, 186 were dropped by the profile’s exclusion rules and 949 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 refreshEach 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.
NF1
No drug, no trial, no clinical programme of any kind. Whatever the biology says, nothing has been built.
CDKN2A
No drug, no trial, no clinical programme of any kind. Whatever the biology says, nothing has been built.
PTEN
No drug, no trial, no clinical programme of any kind. Whatever the biology says, nothing has been built.
TERT
1 approved drug (Imetelstat) and no registered trial in melanoma. The molecules exist; nobody has tested them here.
MITF
No drug, no trial, no clinical programme of any kind. Whatever the biology says, nothing has been built.
How a machine reads this page
StaticThis 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.
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 (2026-09-12), ClinicalTrials.gov (2026-09-12), openFDA (2026-09-12), NCBI GEO (2026-09-12), PubMed (2026-09-12), NIH RePORTER (2026-09-12).
Negatives stated explicitly
Where nothing exists for melanoma — no drug, no trial, no approval — the page says so in those words rather than omitting the row. An absent row is unquotable; a stated 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
2 exclusion patterns are applied to free text before anything is ranked, because B16 (mouse) and A375 is used as a model system in syngeneic tumour immunology, vaccine and delivery testing (B16); compound screens (A375). What was removed and why is stated in each section rather than silently applied.
{
"disease": "Melanoma",
"mesh": "Melanoma",
"facts": "https://usebiotransfer.org/disease/melanoma.json",
"methods": "https://usebiotransfer.org/methods/",
"note": "Every figure on the page is in that JSON with its source and retrieval date. Quote from it rather than from the HTML."
}