Disease Briefing

Melanoma: 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 2026-09-12Sources Open Targets · ClinicalTrials.gov · openFDA · GEO · PubMed · Europe PMC · iCite · RePORTERRanked 1140 studies · 61,335 GEO samples
Reading as
Reorders emphasis only — nothing is hidden or loaded on demand.

Answer block

13 genes recurrently implicated in melanoma — BRAF, NRAS, NF1, KIT, MAP2K1, CDKN2A, PTEN, TERT, PDCD1, CTLA4, LAG3, MITF, PMEL — 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.

17
drugs carry an FDA label naming melanoma: Afamitresgene Autoleucel, Aldesleukin, Atezolizumab, Binimetinib, Cobimetinib, Dabrafenib and 11 more. This counts labels, not treatment — the disease is also treated with agents approved under broader indications
5
of the 13 genes above carry a drug that is approved in melanoma itself — BRAF, CTLA4, MAP2K1, PDCD1, PMEL. Across all of them 118 drug entries reach these genes, 108 distinct once salt forms are merged
58
registered TIL cell-therapy trials in melanoma, 18 active and 2 withdrawn. 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
5
targets carry an Open Targets tractability signal and have no clinical programme of any kind: NRAS, NF1, PTEN, TERT, MITF. PDCD1, CTLA4, LAG3, PMEL all have cell-therapy trials, so they are undrugged rather than untouched
2,686
human GEO series match the disease; 1,140 survive on-topic filtering, and only 37 are patient cohorts of 100+ samples
953
Europe PMC full-text papers name GSE78220 — the highest accession-mention count in the set. A mention is not proof of reanalysis, so read it as reach rather than reuse
$137.3M
NIH obligations in FY2025, up 6% since 2013 — while distinct core projects went 236 to 238. Larger awards rather than more distinct core projects; core projects are not the same unit as laboratories

Target landscape

Open Targets · retrieved 2026-09-12 · weekly

13 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.

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
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 · weekly

17 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.

17Labelled for melanomaFDA INDICATIONS AND USAGE names the disease
29Approved, but for another diseasereturned for the genes in the table above
2Backbone agents listing itbroad cytotoxics whose labels name many tumours
18Active TIL cell-therapy trialsof 58 registered

Every label that names melanoma

DrugRoleWhat the label says
Afamitresgene AutoleucelTECELRALabelled hereTECELRA 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...
AldesleukinPROLEUKINLabelled hereMetastatic Melanoma Proleukin is indicated for the treatment of adults with metastatic melanoma.
AtezolizumabTECENTRIQ, Tecentriq HybrezaLabelled hereMelanoma in combination with cobimetinib and vemurafenib for the treatment of adult patients with BRAF V600 mutation-positive unresectable or metastatic melanoma.
BinimetinibMEKTOVILabelled hereBRAF 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
CobimetinibCotellicLabelled hereUnresectable 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.
DabrafenibTafinlarLabelled 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.
EncorafenibBRAFTOVILabelled hereBRAF 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
IpilimumabYERVOYLabelled hereAdjuvant 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.
LifileucelAMTAGVILabelled hereAMTAGVI 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 QVANTIGLabelled hereMelanoma • adult and pediatric (12 years and older who weigh 30 kg or greater) patients with unresectable or metastatic melanoma.
Nivolumab And Relatlimab-RmbwOPDUALAGLabelled hereOPDUALAG™ is indicated for the treatment of adult and pediatric patients 12 years of age or older with unresectable or metastatic melanoma.
PembrolizumabKEYTRUDA, KEYTRUDA QLEXLabelled hereMelanoma KEYTRUDA ® is indicated for the treatment of patients with unresectable or metastatic melanoma.
Talimogene LaherparepvecImlygicLabelled hereIMLYGIC 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.
TebentafuspKIMMTRAKLabelled hereKIMMTRAK is indicated for the treatment of HLA-A*02:01-positive adult patients with unresectable or metastatic uveal melanoma.
TrametinibMekinistLabelled 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.
VemurafenibZELBORAFLabelled hereUnresectable 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-WtpgTudriqevLabelled hereTUDRIQEV™ 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.
DacarbazineDacarbazineBackboneDacarbazine for Injection is indicated in the treatment of metastatic malignant melanoma.
MelphalanHepzato KitBackboneHEPZATO 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 ColloidNot a therapyTechnetium 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 ColloidNot a therapyTechnetium 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 · weekly

TIL is the busiest cell-therapy antigen in melanoma: 58 registered trials, 18 still active, 2 withdrawn before enrolling anyone.

TrialPhaseStatusTitleLast update
NCT067832701RecruitingT-cell Therapy with CRISPR PD1-edited Tumor Infiltrating Lymphocytes for Patients with Metastatic Melanoma2025-01-20
NCT066306112RecruitingEvaluation 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
NCT026210212RecruitingA Phase 2 Trial for Metastatic Melanoma Using Adoptive Cell Therapy With Tumor Infiltrating Lymphocytes Plus IL-2 Either Alone or Following the Administration of Pembrolizumab2026-08-20
NCT059025201ActiveAdoptive Cell Therapy Using Cancer Specific CD8+ Tumor Infiltrating Lymphocytes in Adult Patients With Solid Tumors2026-01-08
NCT051764701ActiveNeoadj Admin Autologous Tumor Infiltrating Lymphocytes & Pembrolizumab for Treatment of Adv Melanoma Patients2026-02-24
NCT069617861ActiveTNFα and IL-2 Coding Oncolytic Adenovirus TILT-123 With Lymphocyte-depleting Chemotherapy and TILs in the Treatment of Melanoma2026-03-05
NCT065660921ActiveStudy of Autologous Tumor-Infiltrating Lymphocytes in Pediatric, Adolescent, and Young Adult Participants2026-04-06
NCT019554601ActiveGenetically Modified T-Cells Followed by Aldesleukin in Treating Patients With Stage III-IV Melanoma2026-04-15
NCT072882032ActiveA Study of Lifileucel (Tumor-infiltrating Lymphocytes) in Adults With Advanced Melanoma2026-04-20
NCT034675162ActiveAdoptive Transfer of Tumor Infiltrating Lymphocytes for Metastatic Uveal Melanoma2026-06-01

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 · monthly

Every 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 term2015–182021–25ChangeShare now
Artificial Intelligence0.08%1.33%15.98×80 papers
Deep Learning0.08%1.17%13.98×70 papers
Neural Networks, Computer0.18%1.25%6.82×75 papers
Hydrogels0.08%0.55%6.59×33 papers
Extracellular Vesicles0.12%0.68%5.85×41 papers
Molecular Docking Simulation0.22%0.87%4.0×52 papers
Machine Learning0.25%0.97%3.87×58 papers
Chitosan0.08%0.32%3.8×19 papers
Neoadjuvant Therapy0.38%1.45%3.78×87 papers
Single-Cell Analysis0.2%0.72%3.58×43 papers

Cooling

MeSH term2015–182021–25ChangeShare now
Survival Analysis3.53%0.3%0.08×18 papers
Kaplan-Meier Estimate3.0%0.35%0.12×21 papers
Antibodies, Monoclonal5.8%0.8%0.14×48 papers
Time Factors2.53%0.38%0.15×23 papers
Mice, Inbred BALB C1.75%0.28%0.16×17 papers
Tumor Burden2.45%0.42%0.17×25 papers

Biggest topics now

MeSH term2015–182021–25ChangeShare now
Skin Neoplasms49.75%51.03%1.03×3062 papers
Cutaneous Malignant Melanoma8.12%13.58%1.67×815 papers
Immunotherapy7.93%11.37%1.43×682 papers
Tumor Microenvironment3.23%10.38%3.21×623 papers
Immune Checkpoint Inhibitors0.0%10.02%100167.67×601 papers
Prognosis10.78%9.97%0.92×598 papers
Proto-Oncogene Proteins B-raf9.22%6.97%0.76×418 papers
Biomarkers, Tumor7.12%6.55%0.92×393 papers
Mutation7.87%6.18%0.79×371 papers
Cell Proliferation10.13%5.97%0.59×358 papers

Publication mix

Type2015–182021–25
Clinical Trial0.0%0.0%
Randomized Controlled Trial1.6%1.0%
Review11.9%10.7%
Meta-Analysis1.1%1.0%
Case Reports0.0%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.

MeasureValueMatchWhat it counts
New cases each year112,000 cases/yeardirect2026
Deaths each year8,510 deaths/yeardirect2026
Incidence rate22.3 cases per 100,000 per yeardirect2019-2023
Death rate2 deaths per 100,000 per yeardirect2020-2024
People living with it1,573,288 people living with the diseasedirect2023
Median age at diagnosis67.0 yearsdirect2019-2023
median age at death73 yearsdirect2020-2024
Five-year relative survival94.7%direct2016-2022

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 · quarterly

NIH 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.

$137.3MNIH obligations, FY2025from $129.6M in FY2013 · +6%
238distinct projects funded236 in FY2013
$181.3Mpeak year was FY2022obligations, all institutes
87%of FY2025 awards from NCI232 of 268

NIH obligations by fiscal year

$45M$91M$136M$181M13151719212325
YearObligationsAwardsDistinct projectsDropped as off-topic
FY2013$129.6M304236694
FY2014$128.9M304243716
FY2015$132.6M327271759
FY2016$133.6M334285749
FY2017$148.2M345282825
FY2018$147.6M3652951,077
FY2019$163.9M418308926
FY2020$163.4M370305902
FY2021$172.9M364298899
FY2022$181.3M373308899
FY2023$171.9M351287918
FY2024$144.7M322269928
FY2025$137.3M272238838

Where FY2025 money went

InstitutionObligationsAwards
Division Of Basic Sciences - Nci$18.9M11
Wistar Institute$8.6M12
University Of Pittsburgh At Pittsburgh$8.2M14
Massachusetts General Hospital$7.0M9
New York University School Of Medicine$6.2M17
Division Of Cancer Epidemiology And Genetics$5.9M0
Yale University$4.7M7
National Heart, Lung, And Blood Institute$3.0M0
Cedars-Sinai Medical Center$2.8M0
Oregon Health & Science University$2.7M0

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

NCI232 · 85%
VA16 · 6%
NIGMS7 · 3%
NIAMS4 · 1%
NCATS2 · 1%
NIA2 · 1%

Projects by administering institute. The rows above are the top 10 and account for 268 of 272.

Award mechanisms

R01110 · 40%
P5018 · 7%
ZIA15 · 6%
F3112 · 4%
U5412 · 4%
R3712 · 4%

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

Division Of Basic Sciences - Nci$18.9M · 13.7%
Wistar Institute$8.6M · 6.3%
University Of Pittsburgh At Pittsburgh$8.2M · 5.9%
Massachusetts General Hospital$7.0M · 5.1%
New York University School Of Medicine$6.2M · 4.5%
Division Of Cancer Epidemiology And Gene$5.9M · 4.3%

Share of $137.3M in FY2025. The top three hold 26%.

Public datasets, ranked

NCBI GEO + Europe PMC + iCite · weekly

2,686 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

unspecified 347cell line 330patient 307mixed 135xenograft 21
347 unspecified330 cell line307 patient135 mixed21 xenograft575 carry clinical annotation262 carry survival37 patient cohorts ≥100 GEO samples61,335 GEO samples totalin 59 single-cell series a GEO sample is one cell, not one patient

Established

high reuse, older
AccessionStudySamplesMentionsEurope PMCRCREvidence
GSE115978Single-cell RNA-seq of melanoma ecosystems reveals sources of T cells exclusion linked to immunotherapy clinical outcomes2018 · single-cell7,18624531.9
patient cohortAPT 0.75survivalmolecularPD-11,126 cites
GSE78220mRNA expressions in pre-treatment melanomas undergoing anti-PD-1 checkpoint inhibition therapy2016 · sequencing2895376.1
patient cohortAPT 0.95survivalmolecularPD-12,568 cites
GSE72056Single cell RNA-seq analysis of melanoma2016 · single-cell4,645320108.8
patient cohortAPT 0.753,807 cites
GSE65904Whole-genome expression analysis of melanoma tumor biopsies from a population-based cohort.2015 · array21438075.4
patient cohortAPT 0.95survival1,919 cites
GSE100797Mutational and neoantigen load predict clinical benefit of adoptive T cell therapy in melanoma2017 · sequencing2517410.9
patient cohortAPT 0.95survivalstagemolecular400 cites
GSE120575Defining T cell states associated with response to checkpoint immunotherapy in melanoma2018 · single-cell4822744.8
patient cohortAPT 0.751,576 cites
GSE115821Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma2018 · sequencing379616.3
patient cohortAPT 0.95molecularCTLA-4PD-1569 cites
GSE1NHGRI_Melanoma_class2001 · array3852426.0
APT 0.951,355 cites

Recent

2022 onward, by score
AccessionStudySamplesMentionsEurope PMCRCREvidence
GSE225063Blockade of LAG-3 and PD-1 leads to co-expression of cytotoxic and exhaustion gene modules in CD8+ T cells to promote antitumor immunity2024 · sequencing256215.4
patient cohortAPT 0.75survivalmolecularLAG-3NIVOLUMABPD-1152 cites
GSE272993Combination anti-PD-1 and anti-CTLA-4 therapy generates waves of clonal responses that include progenitor-exhausted CD8 T cells [dataset 1]2024 · single-cell360110.1
patient cohortAPT 0.95stagemolecularCTLA-4PD-1100 cites
GSE215121A single-cell analysis reveals tumor heterogeneity and immune environment of acral melanoma2022 · single-cell68548.7
APT 0.75147 cites
GSE186144T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanoma2022 · sequencing111615.6
patient cohortAPT 0.95265 cites
GSE171888The landscape of melanoma progression and immune surveillance at single cell resolution2022 · sequencing222410.6
patient cohortAPT 0.75191 cites
GSE185386Melanoma Brain Metastasis Atlas2022 · sequencing101119.8
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 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.

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

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.

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."
}