OnCo

PD-1 is a brake on T cells. Blocking it releases the immune system against the tumour and has cured some previously incurable cancers. This dossier gathers the 14 products (12 approved), 79 trials, 12 pathways and 5 resistance routes in the corpus that involve it, with external identifiers so it can be joined to UniProt, ChEMBL, Open Targets and the rest of biology.

Biology

Elsewhere: identifiers and databases

Built from HGNC, Ensembl, UniProt and ChEMBL ids

How common it is, by cancer

Full matrix →
CancerPrevalenceSource
Melanoma
30-40%
Wikipedia
Non-small-cell lung cancer
20-45%
Wikipedia

Approximate, population-level figures; the measure column says what was counted. Ranges show the midpoint as a bar.

Products by modality and phase

Browse products →
TrialPhaseStatus
Fianlimab + cemiplimab phase 3 (first-line melanoma)
NCT05352672
3Negative
HARMONi-3
NCT05899608
3Mixed
HERIZON-GEA-01
NCT05152147
3Positive
INTerpath-001 (V940-001)
NCT05933577
3Positive
LITESPARK-012
NCT04736706
3Negative
LITESPARK-022
NCT05239728
3Positive
ASCENT-04 / KEYNOTE-D19
NCT05382286
3Positive
EV-303 / KEYNOTE-905
NCT03924895
3Positive
EV-304 / KEYNOTE-B15
NCT04700124
3Positive
KEYNOTE-689
NCT03765918
3Positive
KEYNOTE-B96 / ENGOT-ov65
NCT05116189
3Positive
RELATIVITY-098
NCT05002569
3Negative
CheckMate 8HW
NCT04008030
3Positive
CheckMate 9DW
NCT04039607
3Positive
COMPASSION-16 / AK104-303
NCT04982237
3Positive
HARMONi-2
NCT05499390
3Positive
LEAP-012
NCT04246177
3Mixed
NADINA
NCT04949113
3Positive
TiNivo-2
NCT04987203
3Negative
CARES-310
NCT03764293
3Positive
EV-302 / KEYNOTE-A39
NCT04223856
3Positive
IND.227 / KEYNOTE-483
NCT02784171
3Positive
KEYNOTE-671
NCT03425643
3Positive
KEYNOTE-859
NCT03675737
3Positive
KEYNOTE-966
NCT04003636
3Positive
KEYNOTE-A18 / ENGOT-cx11 / GOG-3047
NCT04221945
3Positive
NRG-GY018 / KEYNOTE-868
NCT03914612
3Positive
RUBY / ENGOT-EN6 / GOG-3031
NCT03981796
3Positive
SWOG S1826
NCT03907488
3Positive
ASTRUM-005
NCT04063163
3Positive
CheckMate 816
NCT02998528
3Positive
COSMIC-313
NCT03937219
3Mixed
LEAP-002
NCT03713593
3Negative
RATIONALE-306
NCT03783442
3Positive
CheckMate 274
NCT02632409
3Positive
CheckMate 577
NCT02743494
3Mixed
CheckMate 648
NCT03143153
3Positive
CLEAR (KEYNOTE-581)
NCT02811861
3Positive
DREAMseq (ECOG-ACRIN EA6134)
NCT02224781
3Positive
EMPOWER-Cervical 1 / GOG-3016 / ENGOT-cx9
NCT03257267
3Positive
ESCORT-1st
NCT03691090
3Positive
JUPITER-02
NCT03581786
3Positive
KEYNOTE-564
NCT03142334
3Positive
KEYNOTE-716
NCT03553836
3Positive
KEYNOTE-775 / Study 309
NCT03517449
3Positive
KEYNOTE-826
NCT03635567
3Positive
CheckMate 548 & CheckMate 143 & CheckMate 498
NCT02667587
3Negative
CheckMate 649
NCT02872116
3Positive
CheckMate 743
NCT02899299
3Positive
CheckMate 9ER
NCT03141177
3Positive
IMpassion131
NCT03125902
3Negative
KEYNOTE-177
NCT02563002
3Positive
KEYNOTE-204
NCT02684292
3Positive
KEYNOTE-355
NCT02819518
3Positive
KEYNOTE-522
NCT03036488
3Positive
KEYNOTE-590
NCT03189719
3Positive
KEYNOTE-048
NCT02358031
3Positive
KEYNOTE-426
NCT02853331
3Positive
CheckMate 214
NCT02231749
3Positive
CheckMate 141
NCT02105636
3Positive
KEYNOTE-024 & KEYNOTE-189
NCT02142738
3Positive
CheckMate 067
NCT01844505
3Positive
KEYNOTE-006
NCT01866319
3Positive
AHOD2131 (COG / NCTN)
NCT05675410
3Recruiting
ASCENT-05 / OptimICE-RD (AFT-65, GBG 119, NSABP B-63)
NCT05633654
3Active
LiGeR-HN1
NCT06525220
3Recruiting
OptimICE-pCR (A012103)
NCT05812807
3Recruiting
PRISM-MEL-301
NCT06112314
3Recruiting
SCARLET (SWOG S2212)
NCT05929768
3Recruiting
TROPION-Breast03
NCT05629585
3Active
TROPION-Breast05
NCT06103864
3Recruiting
RELATIVITY-047
NCT03470922
2/3Positive
FORTIFI-HN01
NCT06788990
2/3Recruiting
AZUR-1
NCT05723770
2Positive
NICHE-2
NCT03026140
2Positive
SWOG S1801
NCT03698019
2Positive
FMT plus pembrolizumab in anti-PD-1-refractory melanoma (Pittsburgh)
NCT03341143
2Completed
CheckMate 205
NCT02181738
2Positive
MIMic-01: healthy-donor FMT plus anti-PD-1, first-line melanoma
NCT03772899
1Completed

Resistance routes that involve this target

Unaddressed routes →
Loss of antigen presentation (B2M, HLA, JAK1/2)
Frequency: Acquired resistance in melanoma: ~25% JAK/B2M

Mutations in B2M or HLA class I stop tumour cells displaying antigen; JAK1/2 loss removes interferon responsiveness (and PD-L1 induction).

Countermeasures · 1
Immune-desert / excluded tumours

No pre-existing T-cell infiltrate (cold tumour) or T cells held at the margin by TGF-β and stroma.

Countermeasures · 3
Alternative checkpoints (LAG-3, TIM-3, TIGIT)

Exhausted T cells co-express other inhibitory receptors.

Countermeasures · 1
Immunosuppressive myeloid cells and VEGF

MDSCs, M2 macrophages, and VEGF suppress T-cell function and dendritic-cell maturation.

Countermeasures · 1
Loss of neoantigens / low TMB

Immunoediting removes the clones that carried immunogenic mutations.

Countermeasures · 1

Pathways where it is a node

Pathway-to-drug matrix →
  • Cold tumours: immune deserts and exclusion
    Node: Inflamed → PD-1 response · 6 druggable nodes

    Tumours come in three immune weathers: inflamed (T cells inside, checkpoint drugs work), excluded (T cells stuck at the edge), and desert (no T cells at all). Most common cancers are excluded or desert, and turning them 'hot' is the central problem of immunotherapy.

    Which nodes have drugs →
  • Complement in cancer
    Node: CD8 T cells suppressed · 3 druggable nodes

    Complement is a cascade of blood proteins that punches holes in things marked by antibodies and calls in inflammatory cells. Therapeutic antibodies such as rituximab use it to kill cancer cells; tumours defend themselves with shields (CD46, CD55, CD59), and the cascade's own by-products (C5a) can recruit the myeloid cells that protect the tumour.

    Which nodes have drugs →
  • Fibroblast activation, desmoplasia & matrix stiffness
    Node: T-cell exclusion · 4 druggable nodes

    Tumours recruit the body's repair cells, fibroblasts, and keep them in wound-healing mode forever. The scar tissue they lay down (desmoplasia) squeezes blood vessels shut, walls out immune cells, stiffens the tissue in a way that itself tells cancer cells to grow, and is why pancreatic cancer is so hard to treat.

    Which nodes have drugs →
  • Glutamine addiction
    Node: T cells starved · 4 druggable nodes

    After glucose, glutamine is the tumour's favourite food. It feeds the energy cycle, donates nitrogen for making DNA letters, and makes the antioxidant glutathione. MYC- and KRAS-driven cancers eat so much of it that they starve the T cells next door.

    Which nodes have drugs →
  • Microbiome–tumour interactions
    Node: Immunotherapy response · 1 druggable nodes

    The bacteria in the gut, and even inside tumours, influence whether cancer starts and whether immunotherapy works. Transplanting stool from responders has made some non-responders respond.

    Which nodes have drugs →
  • Mismatch repair & microsatellite instability
    Node: Checkpoint-inhibitor response · 2 druggable nodes

    After DNA is copied, a proofreading crew fixes the letters the polymerase got wrong. Lose it and the genome fills with thousands of small errors, especially in repetitive stretches (microsatellites). Those errors make abnormal proteins that the immune system can see, which is why immunotherapy works so well in these cancers.

    Which nodes have drugs →
  • Nutrient competition & metabolic immunosuppression
    Node: T-cell / NK dysfunction · 4 druggable nodes

    Tumours and immune cells eat from the same plate. Cancer cells hoard glucose and glutamine, dump lactate and acid, and burn tryptophan and arginine into by-products that paralyse T cells. The tumour wins the food fight, and the immune system loses before it has fired a shot.

    Which nodes have drugs →
  • Oncogenic viruses
    Node: Viral antigens → IO response · 3 druggable nodes

    About one cancer in eight worldwide is caused by a virus. HPV, hepatitis B and C, Epstein-Barr, HTLV-1, KSHV and Merkel cell polyomavirus each hijack the same brakes cancer normally has to mutate, which is why vaccines against HPV and HBV are among the most effective anti-cancer drugs ever made.

    Which nodes have drugs →
  • PD-1 / PD-L1 immune checkpoint & T-cell activation
    Node: PD-1 on T cell · 4 druggable nodes

    How T cells decide to attack. A T cell needs to see the target (TCR-MHC) and get a 'go' signal (CD28). PD-1 and CTLA-4 are 'stop' signals; tumours exploit them. Checkpoint inhibitors remove the stop.

    Which nodes have drugs →
  • T-cell exhaustion
    Node: PD-1, LAG-3, TIM-3, TIGIT · 3 druggable nodes

    T cells that see their target for weeks on end without winning gradually shut down: they raise a set of brakes (PD-1, LAG-3, TIM-3, TIGIT), lose their ability to kill, and eventually lock this state into their DNA. Checkpoint drugs rescue the ones that are only partly exhausted; the terminally exhausted are beyond reach.

    Which nodes have drugs →
  • The cancer-immunity cycle
    Node: 7 Killing (PD-1 brake) · 3 druggable nodes

    Seven steps the immune system must complete to kill a tumour: release of antigens, pick-up by dendritic cells, priming of T cells in lymph nodes, travel, entry into the tumour, recognition, and killing. Every immunotherapy pushes on one step; every escape blocks one.

    Which nodes have drugs →
  • Tumour microenvironment (TME)
    Node: Exhausted CD8 T cells (PD-1) · 5 druggable nodes

    A tumour is not just cancer cells. It is a neighbourhood of fibroblasts, immune cells, blood vessels, nerves, and scaffolding that the cancer recruits and corrupts, and that decides whether drugs and immune cells can get in.

    Which nodes have drugs →

Companion diagnostics and assays

Assay registry →
AssayPlatformCut-off
PD-L1 IHC 22C3 pharmDx
Agilent (Dako) · FDA CDx 2015
IHCTPS at least 1% or at least 50% (NSCLC); CPS at least 1 (head and neck, oesophageal, gastric); CPS at least 10 (TNBC, gastric first line); CPS at least 1 (cervical)
PD-L1 IHC 28-8 pharmDx
Agilent (Dako) · FDA CDx 2020
IHCTC at least 1% (nivolumab plus ipilimumab, first-line NSCLC)
FoundationOne CDx
Foundation Medicine (Roche) · FDA CDx 2017
NGS tissuePer companion claim: EGFR, ALK, BRAF V600, ERBB2 amplification, KRAS wild-type, BRCA1/2 and HRR genes, PIK3CA, MET exon 14, RET, FGFR2 fusions, IDH1, NTRK fusions; MSI-high; TMB at least 10 mutations per megabase
VENTANA MMR RxDx Panel
Roche Diagnostics · FDA CDx 2021
IHCLoss of nuclear expression of any mismatch-repair protein in tumour cells (dostarlimab, endometrial cancer)
MSI by PCR (Promega MSI Analysis System and equivalents)
Promega and others · LDT
PCRInstability at two or more of five markers (MSI-high); NGS panels report MSI from hundreds of loci
Tumour mutational burden (FoundationOne CDx and equivalents)
Foundation Medicine and others · FDA CDx 2020
NGS tissueAt least 10 mutations per megabase (pembrolizumab, tumour-agnostic, KEYNOTE-158)

Preclinical models

All models →
Cell lineIdentifiersWhy it is used
MC38
Mus musculus
CVCL_B288Mouse colon; PD-1 responsive.
CT26
Mus musculus
CVCL_7254Mouse colon; partially responsive.
B16-F10
Mus musculus
CVCL_0159Mouse melanoma; PD-1 refractory unless combined.
4T1
Mus musculus
CVCL_0125Mouse breast; refractory, metastatic.
LL/2
Mus musculus
CVCL_4358Lewis lung carcinoma; refractory.
EMT6
Mus musculus
CVCL_1923Mouse breast; responsive.
YUMMER1.7
Mus musculus
CVCL_A2AXUV-mutagenised Braf/Pten melanoma; responsive.
KPC-derived linesnot resolvedPancreatic; immune-excluded and refractory.
Mouse models

Syngeneic lines are the only immunocompetent option for human checkpoint biology but carry far higher mutation burden than most human tumours, and the human antibodies do not bind mouse PD-1, so surrogate antibodies are used.

  1. 01

    How long should checkpoint inhibitors be given: two years, one year, or until a ctDNA or imaging signal says stop?

    clinicalpayer

    Why unresolved. Trials fixed two years by convention; long-term CheckMate 067 and KEYNOTE-006 data show durable remissions after stopping, and the cost and toxicity of unnecessary years are large.

    What would answer it. Randomised stop-versus-continue trials with ctDNA-guided arms, powered for overall survival.

    Source: CheckMate 067 ten-year follow-up, NEJM 2025
  2. 02

    What actually turns an immune-desert tumour into one that responds to PD-1 blockade?

    basicresearch

    Why unresolved. Most patients have primary resistance: no T-cell infiltrate or T cells excluded by stroma. Radiation, oncolytic viruses, ADCs and vaccines each prime in some models, but no combination has produced a reliable conversion in people.

    What would answer it. Randomised combination trials with mandatory on-treatment biopsies linking immune-infiltration change to survival, and mechanistic studies of exclusion drivers such as TGF-beta and CXCL12.

    Source: Topalian et al., NEJM 2012
  3. 03

    For which cancers should neoadjuvant immunotherapy replace surgery-first, and can pathological response replace long-term endpoints?

    clinicalclinic

    Why unresolved. NADINA, CheckMate 816, NICHE-2 and KEYNOTE-522 show deep pathological responses, but regulators still want event-free or overall survival and surgeons want to know who can safely have less surgery.

    What would answer it. Validation of pathological complete response as a surrogate across tumour types and de-escalation trials that omit or reduce surgery in complete responders.

    Source: NADINA, NEJM 2024

Ideas and companies

Key papers and the live literature

Preprints →
Latest papers · live from Europe PMC
Open in Europe PMC

Query for this target: (TITLE:"PD-1" OR ABSTRACT:"PD-1" OR TITLE:"PDCD1" OR ABSTRACT:"PDCD1") AND (cancer OR tumor OR tumour OR oncology OR carcinoma OR lymphoma OR leukemia OR leukaemia OR myeloma OR sarcoma OR melanoma OR glioma). Results are unfiltered search hits about PD-1, not a curated reading list.

Export

The dossier as machine-readable JSON: identifiers from HGNC, Ensembl, UniProt and ChEMBL, products with status, trials, pathways, hotspots, open questions and assays. The full entity record is in the open API at /api/v1/entities/pd1.json. Licence CC BY 4.0.