Data dictionary
The corpus is a graph of typed records validated on every build. This page is generated from the schema itself: the base fields every record shares, then each of the eighteen kinds with its own fields and a real example. Relationship fields hold ids of other records; backlinks are derived, so a link is declared once.
Source of truth: src/lib/schema.ts (Zod). Machine-readable JSON Schema: /api/v1/schema.json, published with the open API. Ids match ^[a-z0-9]+(-[a-z0-9]+)*$; dates are YYYY-MM-DD.
Base fields (every kind)
Identity, the two-register text (TL;DR for anyone, summary for specialists), the date the facts were checked, sources, and the relationship arrays that make the graph.
| Field | Type | Required | Description |
|---|---|---|---|
id | entity id | yes | Stable kebab-case identifier; also the URL slug. |
name | string | yes | Display name. |
aka | string[]default [] | no | Other names, brands and abbreviations; used by search and hover-linking. |
tldr | string | yes | Plain-language explanation for someone with no background. |
summary | string | yes | Technical summary. Markdown-light: paragraphs separated by blank lines. |
status | "approved" | "phase-3" | "phase-2" | "phase-1" | "preclinical" | "concept" | "standard-of-care" | "established" | "emerging" | "historic" | "withdrawn" | "active" | "completed" | "recruiting" | "positive" | "negative" | "mixed" | "planned" | no | Stage or state, from the shared status list. |
asOf | date (YYYY-MM-DD) | yes | Date the facts were last checked. |
wikipedia | URL | no | Wikipedia article for the concept. |
links | { label, url }[]default [] | no | External sources: label and URL.
|
tags | string[]default [] | no | Free-form tags (for example "spike", "failure"). |
related | entity id[]default [] | no | Free-form related entity ids (any kind). |
cancers | entity id[]default [] | no | Typed relationship arrays. Each holds ids of the named kind. |
sections | entity id[]default [] | no | |
technologies | entity id[]default [] | no | |
targets | entity id[]default [] | no | |
drugs | entity id[]default [] | no | |
companies | entity id[]default [] | no | |
institutions | entity id[]default [] | no | |
pathways | entity id[]default [] | no | |
terms | entity id[]default [] | no | |
trials | entity id[]default [] | no | |
people | entity id[]default [] | no | |
bottlenecks | entity id[]default [] | no | Bottlenecks of the war on cancer this object bears on (ideas attack them; technologies, trials, collections relieve them). |
keyPapers | entity id[]default [] | no | Key papers (kind "paper") this object rests on or is discussed in. |
journals | entity id[]default [] | no | Journals (kind "journal") this object was published in or is tied to. |
notes | string[]default [] | no | Why this matters / what is hard about it. Optional editorial notes. |
simple | string | no | Even simpler explanation (about a 12-year-old reading age). Optional. |
provenance | { editedBy, editedOn, note } | no | Who last substantively edited this record (name or handle) and when.
|
confidence | { probability, by, on, note } | no | Named probability estimate for speculative content.
|
One page per disease: state of the art, history, and what is coming.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "cancer" | yes | Discriminator; fixed per kind. |
group | string | yes | ICD-O / organ system grouping, e.g. "breast", "lung", "blood". |
burden | string | no | Roughly how common, in words. |
subtypes | string[]default [] | no | Named subtypes a clinician distinguishes. |
biomarkers | string[]default [] | no | Key biomarkers a clinician tests for. |
standardOfCare | { setting, approach, refs, guideline }[]default [] | no | One row per clinical setting: the approach, the products it references, and the guideline mapping.
|
stateOfArt | string[]default [] | no | What is state of the art today, in one paragraph per point. |
history | { year, title, note, refs }[]default [] | no | Dated milestones for the timeline, each pointing at the records it concerns.
|
pipeline | entity id[]default [] | no | What is coming: ids of drugs/technologies/trials/ideas. |
openProblems | string[]default [] | no | What is still unsolved, one paragraph each. |
Example: nsclc (arrays trimmed to three items, long strings shortened)
{
"id": "nsclc",
"kind": "cancer",
"name": "Non-small-cell lung cancer",
"tldr": "Non-small-cell lung cancer is the biggest cancer killer, and the proving ground for precision medicine: a dozen targetable mutations, immunotherapy for the r...",
"summary": "Non-small-cell lung cancer is ~85% of lung cancer and the leading cause of cancer death worldwide (~1.8 million deaths a year, all lung cancer). Adenocarcino...",
"asOf": "2026-09-06",
"wikipedia": "https://en.wikipedia.org/wiki/Non-small-cell_lung_cancer",
"tags": [
"lung",
"spike"
],
"related": [
"kras-roadmap",
"adc-generations",
"immunotherapy-roadmap"
],
"technologies": [
"kinase-inhibitors",
"checkpoint-inhibitor",
"adc"
],
"targets": [
"egfr",
"alk",
"kras"
],
"companies": [
"astrazeneca",
"johnson-johnson",
"pfizer"
],
"pathways": [
"ras-mapk",
"pi3k-akt-mtor",
"pd1-checkpoint"
],
"terms": [
"tps",
"egfr-exon19-l858r",
"egfr-exon20-insertion"
],
"group": "lung",
"burden": "~85% of lung cancer; lung cancer kills ~1.8 million people a year, more than any other cancer.",
"subtypes": [
"Adenocarcinoma",
"Squamous",
"EGFR-mutant"
],
"biomarkers": [
"EGFR",
"ALK",
"ROS1"
],
"standardOfCare": [
{
"setting": "Screening",
"approach": "Annual low-dose CT for high-risk smokers (NLST, NELSON); AI nodule scoring emerging.",
"refs": [
"ct",
"radiology-ai-screening"
],
"guideline": {
"version": "NCCN Guidelines: Non-Small Cell Lung Cancer",
"url": "https://www.nccn.org/guidelines/guidelines-detail?category=1&id=1450"
}
},
{
"setting": "Early stage",
"approach": "Surgery or SBRT; perioperative chemo-immunotherapy; adjuvant osimertinib (EGFR) or alectinib (ALK).",
"refs": [
"sbrt",
"adaura",
"osimertinib"
],
"guideline": {
"version": "NCCN Guidelines: Non-Small Cell Lung Cancer",
"url": "https://www.nccn.org/guidelines/guidelines-detail?category=1&id=1450"
}
},
{
"setting": "Stage III unresectable",
"approach": "Chemoradiation → durvalumab (PACIFIC) or osimertinib (LAURA, EGFR).",
"refs": [
"durvalumab",
"imrt-igrt"
],
"guideline": {
"version": "NCCN Guidelines: Non-Small Cell Lung Cancer",
"url": "https://www.nccn.org/guidelines/guidelines-detail?category=1&id=1450"
}
}
],
"stateOfArt": [
"5-year PFS 60% with lorlatinib in ALK+ disease.",
"Adjuvant osimertinib halves death risk.",
"First regimen to beat osimertinib (MARIPOSA) and first to beat pembrolizumab (ivonescimab, China)."
],
"history": [
{
"year": 2002,
"title": "Gefitinib approved; dramatic responses in a minority",
"refs": []
},
{
"year": 2004,
"title": "EGFR mutations explain gefitinib responses",
"refs": []
},
{
"year": 2004,
"title": "EGFR mutations explain gefitinib responses",
"note": "Lynch, Paez, and Pao identify activating EGFR mutations; the birth of lung cancer precision medicine.",
"refs": [
"egfr",
"egfr-exon19-l858r"
]
}
],
"pipeline": [
"ivonescimab",
"izalontamab-brengitecan",
"sacituzumab-tirumotecan"
],
"openProblems": [
"Resistance to every TKI.",
"Squamous histology has few targets.",
"Screening uptake below 20% in the US."
]
}The fronts of the war on cancer: from imaging and early detection to ADCs, radiopharma, and cell therapy.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "section" | yes | Discriminator; fixed per kind. |
order | integer | yes | Position of the front in the navigation. |
icon | string | no | Icon id for the front. |
Example: ai-computation (arrays trimmed to three items, long strings shortened)
{
"id": "ai-computation",
"kind": "section",
"name": "AI & Computation",
"tldr": "Software that reads scans and slides, predicts outcomes, designs drugs, and matches patients to trials.",
"summary": "FDA-cleared digital pathology risk tools (ArteraAI), radiology triage and screening models, pathology and radiology foundation models, multimodal patient-lev...",
"asOf": "2026-09-04",
"order": 15,
"icon": "chip"
}Every way we see, measure, or attack a tumour, explained.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "technology" | yes | Discriminator; fixed per kind. |
principle | string | yes | How it works, for a technical reader. |
generation | string | no | Which generation of the idea this is, if the field talks in generations. |
strengths | string[]default [] | no | What it does well. |
limitations | string[]default [] | no | Where it falls short. |
since | integer | string | no | Year first used in humans or first approved, if meaningful. |
Example: checkpoint-inhibitor (arrays trimmed to three items, long strings shortened)
{
"id": "checkpoint-inhibitor",
"kind": "technology",
"name": "Immune checkpoint inhibitors",
"tldr": "Antibodies that release the brakes on immune cells so they can attack the cancer. They cure a minority of patients across many cancers, something chemotherap...",
"summary": "Anti-CTLA-4 (ipilimumab), anti-PD-1 (pembrolizumab, nivolumab, cemiplimab, dostarlimab, toripalimab, tislelizumab), anti-PD-L1 (atezolizumab, durvalumab, ave...",
"status": "standard-of-care",
"asOf": "2026-09-04",
"wikipedia": "https://en.wikipedia.org/wiki/Checkpoint_inhibitor",
"sections": [
"immunotherapy"
],
"targets": [
"pd1",
"pdl1",
"ctla4"
],
"drugs": [
"pembrolizumab",
"nivolumab",
"ipilimumab"
],
"terms": [
"cps",
"tmb",
"msi"
],
"principle": "Blocking inhibitory receptor-ligand interactions restores T-cell priming (CTLA-4) and effector function (PD-1).",
"strengths": [
"Durable, sometimes curative responses",
"Broad applicability"
],
"limitations": [
"Most patients do not respond",
"Autoimmune toxicity",
"Biomarkers are imperfect"
],
"since": 2011
}The molecules drugs and tracers aim at.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "target" | yes | Discriminator; fixed per kind. |
symbol | string | no | Gene symbol / protein name. |
biology | string | yes | What the target does in normal and cancer cells. |
whereFound | string[]default [] | no | Expression or alteration by cancer, free text. |
targetClass | "surface-antigen" | "kinase" | "checkpoint" | "nuclear-receptor" | "enzyme" | "transcription" | "oncogene" | "tumor-suppressor" | "stroma" | "other"default "other" | no | Broad class used for filtering. |
prevalence | { cancerId, pct, measure, source, note }[]default [] | no | Fraction of each cancer that expresses or carries the alteration, sourced. `pct` is 0-100 or a range string like "15-20".
|
Example: pd1 (arrays trimmed to three items, long strings shortened)
{
"id": "pd1",
"kind": "target",
"name": "PD-1",
"tldr": "PD-1 is a brake on T cells. Blocking it releases the immune system against the tumour and has cured some previously incurable cancers.",
"summary": "PD-1 blockade (pembrolizumab, nivolumab, cemiplimab, dostarlimab and a growing list of biosimilar-adjacent agents) is standard across melanoma, NSCLC, RCC, u...",
"asOf": "2026-09-04",
"wikipedia": "https://en.wikipedia.org/wiki/Programmed_cell_death_protein_1",
"tags": [
"checkpoint"
],
"cancers": [
"melanoma",
"nsclc",
"rcc"
],
"pathways": [
"pd1-checkpoint"
],
"symbol": "PDCD1",
"biology": "Inhibitory receptor on activated T cells; ligands PD-L1/PD-L2. Tumour PD-L1 expression, TMB, and MSI predict response imperfectly.",
"whereFound": [
"Exhausted T cells in the tumour microenvironment"
],
"targetClass": "checkpoint",
"prevalence": [
{
"cancerId": "melanoma",
"pct": "30-40",
"measure": "Objective response to PD-1 monotherapy (proxy)",
"source": "https://en.wikipedia.org/wiki/Programmed_cell_death_protein_1",
"note": "Not an expression prevalence"
},
{
"cancerId": "nsclc",
"pct": "20-45",
"measure": "Response by PD-L1 stratum (proxy)",
"source": "https://en.wikipedia.org/wiki/Programmed_cell_death_protein_1"
}
]
}Approved and pipeline products, with what they hit and who makes them.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "drug" | yes | Discriminator; fixed per kind. |
brand | string | no | Brand name where marketed. |
code | string | no | Development code(s), comma separated. |
modality | string | yes | Modality, e.g. "ADC", "small molecule", "mAb", "radioligand", "cell therapy", "vaccine", "device". |
payload | string | no | Cytotoxic payload, for ADCs. |
linker | string | no | Linker chemistry, for ADCs. |
mechanism | string | yes | One or two sentences on how it works. |
approvals | { region, year, indication, note }[]default [] | no | Regulatory approvals: region, year, indication.
|
mechanismSteps | string[]default [] | no | Step-by-step mechanism for the animated mechanism card. |
dosing | { route, schedule, modifications, monitoring, source } | no | Route, schedule, modifications and monitoring, from the label.
|
toxicity | { event, anyGradePct, grade3PlusPct, source, note }[]default [] | no | Adverse events with rates in percent, from the label or pivotal trial.
|
access | { country, listPrice, reimbursement, assistance, generic, source, asOf }[]default [] | no | Cost and access by country.
|
regulatoryEvents | { date, type, region, note, source }[]default [] | no | Dated designations, filings, decisions and label changes.
|
Example: pembrolizumab (arrays trimmed to three items, long strings shortened)
{
"id": "pembrolizumab",
"kind": "drug",
"name": "Pembrolizumab",
"tldr": "The most widely used cancer immunotherapy, approved in more than 40 settings, including before and after surgery for triple-negative breast cancer.",
"summary": "Approvals span melanoma, NSCLC, head and neck, Hodgkin, urothelial, MSI-H/dMMR tumours (first tumour-agnostic approval, 2017), gastric, oesophageal, cervical...",
"status": "approved",
"asOf": "2026-09-04",
"wikipedia": "https://en.wikipedia.org/wiki/Pembrolizumab",
"cancers": [
"tnbc",
"nsclc",
"melanoma"
],
"technologies": [
"checkpoint-inhibitor"
],
"targets": [
"pd1"
],
"companies": [
"merck"
],
"trials": [
"keynote-522",
"keynote-355",
"ascent-04"
],
"brand": "Keytruda / Keytruda Qlex (SC)",
"modality": "Monoclonal antibody (anti-PD-1)",
"mechanism": "Humanised IgG4 blocking PD-1; restores T-cell effector function.",
"approvals": [
{
"region": "US",
"year": 2014,
"indication": "Melanoma (first of >40 indications)"
},
{
"region": "US",
"year": 2017,
"indication": "MSI-H/dMMR solid tumours (tumour-agnostic)"
},
{
"region": "US",
"year": 2020,
"indication": "Metastatic TNBC, PD-L1 CPS ≥10, with chemotherapy"
}
],
"mechanismSteps": [
"Antibody binds PD-1 on T cells",
"PD-1/PD-L1 engagement between T cell and tumour is blocked",
"Exhausted tumour-reactive T cells regain effector function"
],
"dosing": {
"route": "IV infusion over 30 min (subcutaneous Keytruda Qlex available)",
"schedule": "200 mg every 3 weeks or 400 mg every 6 weeks; paediatric 2 mg/kg (max 200 mg) every 3 weeks; up to 24 months in most metastatic settings",
"modifications": "Hold for grade 2 immune-mediated events; permanently discontinue for grade 4 or recurrent grade 3",
"monitoring": "Thyroid function, LFTs, creatinine, glucose at baseline and periodically; patient education on immune-related symptoms",
"source": "https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=9333c79b-d487-4538-a9f0-71b91a02b287"
},
"toxicity": [
{
"event": "Hypothyroidism (immune-mediated)",
"anyGradePct": 8,
"source": "https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=9333c79b-d487-4538-a9f0-71b91a02b287",
"note": "Pooled monotherapy data, >2,800 patients"
},
{
"event": "Pneumonitis (immune-mediated)",
"anyGradePct": 3.4,
"source": "https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=9333c79b-d487-4538-a9f0-71b91a02b287",
"note": "Pooled monotherapy data, >2,800 patients"
},
{
"event": "Colitis (immune-mediated)",
"anyGradePct": 1.7,
"source": "https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=9333c79b-d487-4538-a9f0-71b91a02b287",
"note": "Pooled monotherapy data, >2,800 patients"
}
],
"access": [
{
"country": "US",
"listPrice": "$11,564 per 200 mg dose (WAC, Merck price disclosure 2024)",
"reimbursement": "Medicare Part B (physician-administered); commercial plans per formulary",
"assistance": "https://www.merckaccessprogram-keytruda.com",
"source": "https://www.cms.gov/medicare/payment/part-b-drugs/asp-pricing-files",
"asOf": "2026-09-06"
},
{
"country": "UK",
"reimbursement": "NICE: recommended across many indications (melanoma, NSCLC, TNBC KEYNOTE-522/355, RCC, HNSCC, cervical, oesophageal and others)",
"source": "https://www.nice.org.uk/guidance/published?ngt=Technology%20appraisal%20guidance",
"asOf": "2026-09-06"
},
{
"country": "EU",
"reimbursement": "EMA approved; reimbursed in all member states for core indications",
"asOf": "2026-09-06"
}
],
"regulatoryEvents": [
{
"date": "2014-09-04",
"type": "approval",
"region": "US",
"note": "Accelerated approval, advanced melanoma after ipilimumab; first PD-1 inhibitor in the US",
"source": "https://www.fda.gov/drugs/resources-information-approved-drugs/oncology-cancer-hematologic-malignancies-approval-notifications"
},
{
"date": "2015-10-02",
"type": "approval",
"region": "US",
"note": "PD-L1+ NSCLC after platinum",
"source": "https://www.fda.gov/drugs/resources-information-approved-drugs/oncology-cancer-hematologic-malignancies-approval-notifications"
},
{
"date": "2017-05-23",
"type": "approval",
"region": "US",
"note": "MSI-H/dMMR solid tumours: first tumour-agnostic approval",
"source": "https://www.fda.gov/drugs/resources-information-approved-drugs/oncology-cancer-hematologic-malignancies-approval-notifications"
}
]
}Who is building what.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "company" | yes | Discriminator; fixed per kind. |
hq | string | yes | Headquarters city. |
country | ISO 3166 country code | yes | ISO 3166-1 alpha-2 country code. |
companyType | "pharma" | "biotech" | "diagnostics" | "imaging" | "devices" | "ai-software" | "radiopharma" | "cell-therapy" | "cro-services" | "nonprofit" | yes | Broad type used for filtering and the landscape grid. |
website | URL | yes | Official website. |
ticker | string | no | Stock ticker with exchange suffix where needed. |
founded | integer | no | Year founded. |
Example: bms (arrays trimmed to three items, long strings shortened)
{
"id": "bms",
"kind": "company",
"name": "Bristol Myers Squibb",
"tldr": "Pioneer of checkpoint inhibitors (Opdivo, Yervoy), now betting on the first successful bispecific ADC and alpha radiopharmaceuticals.",
"summary": "Nivolumab, ipilimumab, Opdualag; izalontamab brengitecan (SystImmune, $8.4B); RayzeBio ($4.1B, RYZ101); Mirati (adagrasib); Breyanzi and Abecma CAR-T; BioNTe...",
"asOf": "2026-09-04",
"sections": [
"immunotherapy",
"adcs",
"radiopharma"
],
"drugs": [
"nivolumab",
"ipilimumab",
"relatlimab-nivolumab"
],
"hq": "Princeton, NJ",
"country": "US",
"companyType": "pharma",
"website": "https://www.bms.com",
"ticker": "BMY"
}The centres and universities that matter, mapped and ranked.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "institution" | yes | Discriminator; fixed per kind. |
city | string | yes | City. |
country | ISO 3166 country code | yes | ISO 3166-1 alpha-2 country code. |
lat | number | yes | Latitude, for the map. |
lng | number | yes | Longitude, for the map. |
institutionType | "cancer-center" | "university" | "hospital" | "research-institute" | "government" | "consortium" | yes | Broad type used for filtering. |
website | URL | yes | Official website. |
nci | "comprehensive" | "clinical" | "basic" | no | NCI designation, US only. |
newsweekOncology2026 | integer | no | Newsweek / Statista World's Best Specialized Hospitals 2026, Oncology rank. |
university | string | no | Parent university, when the institution is a cancer center inside one. |
programs | string[]default [] | no | Named programmes or centres of excellence. |
Example: nci (arrays trimmed to three items, long strings shortened)
{
"id": "nci",
"kind": "institution",
"name": "National Cancer Institute (NIH)",
"tldr": "The NCI is the US government's cancer research agency, spending ~$7B a year and running the Cancer Centers Program, TCGA, and Rosenberg's cell therapy lab.",
"summary": "Funds the 74 NCI-designated centres, ran TCGA and the RAS Initiative, runs SEER and ClinicalTrials-linked cooperative groups (NRG, SWOG, Alliance, ECOG-ACRIN...",
"asOf": "2026-09-04",
"technologies": [
"til-therapy",
"tcr-t"
],
"city": "Bethesda, MD",
"country": "US",
"lat": 39.003,
"lng": -77.104,
"institutionType": "government",
"website": "https://www.cancer.gov",
"programs": [
"Cancer Centers Program (74 centres)",
"TCGA / GDC",
"Cooperative groups"
]
}The classic signalling circuits, drawn and explained.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "pathway" | yes | Discriminator; fixed per kind. |
analogy | string | yes | Layman explanation using an analogy. |
nodes | { id, label, x, y, targetId }[] | yes | Diagram nodes with positions; a node may point at a target record.
|
edges | { from, to, type }[] | yes | Diagram edges: activates or inhibits.
|
interventions | string[]default [] | no | How drugs attack it. |
Example: ras-mapk (arrays trimmed to three items, long strings shortened)
{
"id": "ras-mapk",
"kind": "pathway",
"name": "RAS / RAF / MEK / ERK (MAPK)",
"tldr": "The RAS-MAPK pathway is the cell's 'divide' relay. A signal at the surface flips RAS on, which passes to RAF, MEK, and ERK, which tell the nucleus to make th...",
"summary": "Growth-factor receptors recruit GRB2/SOS to load GTP onto RAS (KRAS, NRAS, HRAS). RAS-GTP recruits RAF (BRAF, CRAF) dimers, which phosphorylate MEK1/2, which...",
"asOf": "2026-09-04",
"wikipedia": "https://en.wikipedia.org/wiki/MAPK/ERK_pathway",
"cancers": [
"pancreatic",
"colorectal",
"nsclc"
],
"targets": [
"kras",
"braf",
"egfr"
],
"drugs": [
"sotorasib",
"adagrasib",
"daraxonrasib"
],
"analogy": "A relay race: receptor hands the baton to RAS, RAS to RAF, RAF to MEK, MEK to ERK, ERK runs into the nucleus and shouts 'divide'. A KRAS mutation is a runner...",
"nodes": [
{
"id": "rtk",
"label": "RTK (EGFR, ALK, RET, MET)",
"x": 50,
"y": 5,
"targetId": "egfr"
},
{
"id": "sos",
"label": "GRB2 / SOS1",
"x": 50,
"y": 20
},
{
"id": "ras",
"label": "RAS (KRAS)",
"x": 50,
"y": 36,
"targetId": "kras"
}
],
"edges": [
{
"from": "rtk",
"to": "sos",
"type": "activates"
},
{
"from": "sos",
"to": "ras",
"type": "activates"
},
{
"from": "nf1",
"to": "ras",
"type": "inhibits"
}
],
"interventions": [
"KRAS G12C inhibitors (sotorasib, adagrasib) ± anti-EGFR in colorectal cancer",
"Pan-RAS(ON) inhibitor daraxonrasib (phase 3, pancreatic)",
"BRAF + MEK inhibitors (dabrafenib/trametinib, encorafenib/binimetinib)"
]
}Glossary with plain-English TL;DRs and Wikipedia links.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "term" | yes | Discriminator; fixed per kind. |
category | string | yes | Glossary category (Endpoints, Biomarkers, Trials, ...). |
Example: mrd (arrays trimmed to three items, long strings shortened)
{
"id": "mrd",
"kind": "term",
"name": "Minimal / molecular residual disease (MRD)",
"tldr": "Cancer still present after treatment but too small to see on scans, detected by blood or marrow tests.",
"summary": "In leukaemia/myeloma: flow cytometry or NGS of marrow (clonoSEQ). In solid tumours: ctDNA after surgery. MRD positivity predicts relapse; MRD-guided escalati...",
"asOf": "2026-09-04",
"wikipedia": "https://en.wikipedia.org/wiki/Minimal_residual_disease",
"technologies": [
"mrd-testing"
],
"trials": [
"imvigor011",
"dynamic"
],
"category": "Biomarkers"
}Landmark and current trials that define the standard of care.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "trial" | yes | Discriminator; fixed per kind. |
nct | string | no | Primary registry id: ClinicalTrials.gov NCT number, or ISRCTN, ACTRN or NTR. |
phase | "1" | "2" | "3" | "4" | "1/2" | "2/3" | "observational" | "platform" | yes | Trial phase. |
setting | string | yes | Disease setting and line of therapy. |
sponsor | string | no | Lead sponsor. |
result | string | no | Headline result in one or two sentences, with numbers only if sourced. |
yearReported | integer | no | Year the primary result was reported. |
enrolled | integer | no | Participants enrolled. |
outcomes | { endpoint, primary, unit, arms, hr, ci, p, source }[]default [] | no | Structured outcomes; values in the arm's unit (months, percent). Enables pictograms and comparisons.
|
replication | string | no | Has an independent trial or real-world study confirmed the effect? |
Example: imvigor011 (arrays trimmed to three items, long strings shortened)
{
"id": "imvigor011",
"kind": "trial",
"name": "IMvigor011",
"tldr": "The first trial to use a blood test for leftover cancer to decide who gets immunotherapy, and it worked.",
"summary": "DFS HR 0.64; OS HR 0.59 in ctDNA-positive patients; ctDNA-negative patients had excellent outcomes without treatment. FDA approval Q2 2026, the first ctDNA-g...",
"status": "positive",
"asOf": "2026-09-04",
"links": [
{
"label": "ClinicalTrials.gov NCT04660344",
"url": "https://clinicaltrials.gov/study/NCT04660344"
}
],
"cancers": [
"urothelial"
],
"technologies": [
"mrd-testing"
],
"drugs": [
"atezolizumab",
"signatera"
],
"terms": [
"mrd",
"ctdna"
],
"nct": "NCT04660344",
"phase": "3",
"setting": "Muscle-invasive bladder cancer after cystectomy, ctDNA-positive (Signatera): atezolizumab vs placebo",
"sponsor": "Roche",
"result": "DFS HR 0.64; OS HR 0.59 in ctDNA+.",
"yearReported": 2025,
"enrolled": 761,
"outcomes": [
{
"endpoint": "Disease-free survival (ctDNA-positive, randomised)",
"primary": true,
"unit": "months",
"arms": [
{
"name": "Atezolizumab",
"n": 167,
"value": 9.9
},
{
"name": "Placebo",
"n": 83,
"value": 4.8
}
],
"hr": 0.64,
"ci": [
0.47,
0.88
],
"p": "0.005",
"source": "https://www.roche.com/media/releases/med-cor-2025-10-20b"
},
{
"endpoint": "Overall survival (ctDNA-positive)",
"unit": "months",
"arms": [
{
"name": "Atezolizumab",
"value": 32.8
},
{
"name": "Placebo",
"value": 21.1
}
],
"hr": 0.59,
"ci": [
0.41,
0.86
],
"p": "0.005",
"source": "https://www.roche.com/media/releases/med-cor-2025-10-20b"
},
{
"endpoint": "Disease-free survival at 12 months, persistently ctDNA-negative (untreated surveillance)",
"unit": "%",
"arms": [
{
"name": "ctDNA-negative, surveillance only",
"n": 357,
"value": 95.4,
"note": "12-month OS 100% in this group"
}
],
"source": "https://www.roche.com/media/releases/med-cor-2025-10-20b"
}
],
"replication": "Contrasts with IMvigor010 (unselected adjuvant atezolizumab, negative), whose exploratory ctDNA analysis generated the hypothesis; IMvigor011 is the prospect..."
}Things that work better together, and things that do not.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "pairing" | yes | Discriminator; fixed per kind. |
a | entity id | yes | First member of the pair (entity id). |
b | entity id | yes | Second member of the pair (entity id). |
rationale | string | yes | Why the pair works better than either alone. |
evidence | string | yes | The evidence for the pairing, with trial names. |
pairingType | "combination" | "sequence" | "diagnostic-therapeutic" | "platform" | "caution" | yes | Combination, sequence, diagnostic-therapeutic, platform or caution. |
Example: btki-plus-venetoclax-fixed-duration (arrays trimmed to three items, long strings shortened)
{
"id": "btki-plus-venetoclax-fixed-duration",
"kind": "pairing",
"name": "BTK inhibitor + venetoclax, fixed duration",
"tldr": "Block the survival signal and remove the death shield at the same time, for about a year, then stop and stay in remission for years.",
"summary": "CAPTIVATE and GLOW (ibrutinib), AMPLIFY (acalabrutinib; FDA approved February 2026), SEQUOIA arm D (zanubrutinib), and CELESTIAL (sonrotoclax + zanubrutinib)...",
"asOf": "2026-09-07",
"cancers": [
"cll"
],
"targets": [
"btk",
"bcl2"
],
"drugs": [
"acalabrutinib",
"ibrutinib",
"zanubrutinib"
],
"trials": [
"amplify",
"glow",
"captivate"
],
"a": "acalabrutinib",
"b": "venetoclax",
"rationale": "BTK inhibition mobilises CLL cells out of protective lymph-node niches and increases BCL-2 dependence; venetoclax then kills them. The two resistance mechani...",
"evidence": "Multiple positive phase 3 trials; US approval 2026.",
"pairingType": "combination"
}Where a technology has been and where it is heading.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "roadmap" | yes | Discriminator; fixed per kind. |
steps | { era, title, description, refs, status }[] | yes | Ordered eras from history to horizon, each with a status.
|
Example: frontier-2035 (arrays trimmed to three items, long strings shortened)
{
"id": "frontier-2035",
"kind": "roadmap",
"name": "Radical oncology: what could change the war by 2035",
"tldr": "Radical oncology is a horizon map of the wilder ideas in cancer, sorted by how close they are to mattering, with the reason each one might never arrive.",
"summary": "Most of what is celebrated as a breakthrough is an incremental gain on an existing modality. This roadmap collects the ideas that would change the shape of t...",
"asOf": "2026-09-08",
"sections": [
"drug-discovery",
"radiation",
"cell-therapy"
],
"steps": [
{
"era": "Now (randomised data exists)",
"title": "Ideas already being tested against a control arm",
"description": "Microbiome modulation, spatially fractionated radiotherapy, sonodynamic therapy in glioblastoma, GDF-15 blockade for cachexia, and repurposed cheap drugs all...",
"refs": [
"microbiome-modulation-io",
"lattice-radiotherapy",
"sonodynamic-therapy"
],
"status": "current"
},
{
"era": "By 2027 (early clinical, readouts imminent)",
"title": "Living drugs, logic gates, and designed proteins reach decision points",
"description": "Engineered bacteria, logic-gated cell therapies, molecular glue platforms, and de novo designed binders all have first-in-human programmes running. The quest...",
"refs": [
"engineered-bacteria-therapy",
"logic-gated-therapeutics",
"molecular-glue-platforms"
],
"status": "emerging"
},
{
"era": "By 2030 (physics and chemistry maturing)",
"title": "Radiation and radiopharmaceuticals get a second act",
"description": "Auger emitters, contained alpha nanogenerators, proton arc delivery, and very-high-energy electrons are all limited today by engineering rather than biology:...",
"refs": [
"auger-electron-therapy",
"alpha-nanogenerators",
"proton-arc-therapy"
],
"status": "emerging"
}
]
}Hypotheses and new directions, linked to the evidence.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "idea" | yes | Discriminator; fixed per kind. |
hypothesis | string | yes | The claim, in one sentence. |
rationale | string | yes | Why the pair works better than either alone, or why it is a caution. |
test | string | yes | What experiment or trial would confirm or kill it. |
maturity | "speculative" | "preclinical-evidence" | "early-clinical" | "being-tested-at-scale" | yes | How far the idea has been tested. |
actor | "research" | "clinic" | "industry" | "regulator" | "payer" | "policy" | "patients" | "data" | "philanthropy" | "engineering" | no | Who would have to act: research, clinic, industry, regulator, payer, policy, patients, data, philanthropy. |
cost | "small" | "medium" | "large" | no | Rough cost to try: small (<$1M), medium ($1-50M), large (>$50M). |
horizonYears | integer | no | Time to first evidence of impact in years. |
Example: idea-fund-surgical-trials-network (arrays trimmed to three items, long strings shortened)
{
"id": "idea-fund-surgical-trials-network",
"kind": "idea",
"name": "A permanently funded international network for randomised cancer surgery trials",
"tldr": "Surgery cures more cancer than any drug, yet most operations have never been compared in a proper trial. A standing network of hospitals, with core funding, ...",
"summary": "A surgical oncology trials network with core funding for trial units, research nurses and data managers at fifty to one hundred hospitals, standing ethics an...",
"asOf": "2026-09-08",
"links": [
{
"label": "GlobalSurg Collaborative",
"url": "https://globalsurg.org/"
},
{
"label": "IDEAL Collaboration",
"url": "https://www.ideal-collaboration.net/"
}
],
"related": [
"idea-fund-non-drug-trial-quota",
"idea-fund-surgical-video-registry",
"idea-fund-organ-preservation-programme"
],
"technologies": [
"robotic-surgery",
"sentinel-node"
],
"institutions": [
"jcog",
"alliance-oncology",
"royal-marsden"
],
"people": [
"kitagawa-yuko",
"sano-takeshi",
"chaturvedi-pankaj"
],
"bottlenecks": [
"b-surgery-radiation-innovation",
"b-trial-enrolment"
],
"hypothesis": "A funded network completes at least ten adequately powered randomised surgical trials per five years with more than 80% accrual to target, compared with the ...",
"rationale": "Where surgical trial infrastructure has been funded, landmark results followed: the LACC trial on minimally invasive radical hysterectomy, the JCOG gastric l...",
"test": "Fund the network for one five-year cycle with a portfolio of five trials and audit accrual, completion and guideline impact against surgical trials run witho...",
"maturity": "early-clinical",
"actor": "policy",
"cost": "large",
"horizonYears": 5
}The open databases and registries the field runs on.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "collection" | yes | Discriminator; fixed per kind. |
url | URL | yes | Official URL. |
holds | string | yes | What the collection or database holds. |
license | string | no | Licence the data are released under. |
maintainer | string | no | Who maintains it. |
Example: clinicaltrials-gov (arrays trimmed to three items, long strings shortened)
{
"id": "clinicaltrials-gov",
"kind": "collection",
"name": "ClinicalTrials.gov",
"tldr": "ClinicalTrials.gov is the master list of clinical trials. Every trial on this site links to its record.",
"summary": "Mandatory registration for US trials; API v2 provides structured access to eligibility, arms, outcomes, and results. The backbone for any trial-matching tool.",
"asOf": "2026-09-04",
"technologies": [
"ai-trial-matching"
],
"url": "https://clinicaltrials.gov",
"holds": "Registry and results database of >500,000 clinical studies worldwide.",
"license": "Public domain (US Government)",
"maintainer": "NIH / NLM"
}The clinicians and scientists doing the work: specialisms, bios, papers, and where to find them.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "person" | yes | Discriminator; fixed per kind. |
role | string | yes | Current role and affiliation in one line, e.g. "Chief, Breast Medicine Service". |
institutionId | entity id | no | Primary institution id (also list in `institutions`). |
specialisms | string[]default [] | no | Specialisms, for filtering. |
profiles | { label, url }[]default [] | no | Professional links: profile, lab, Google Scholar, ORCID, PubMed, X/LinkedIn.
|
papers | { title, journal, year, url, doi, note }[]default [] | no | Selected publications, most recent or most cited first.
|
orcid | string | no | ORCID id. |
hIndex | integer | no | h-index, if known and sourced. |
Example: sara-tolaney (arrays trimmed to three items, long strings shortened)
{
"id": "sara-tolaney",
"kind": "person",
"name": "Sara M. Tolaney",
"tldr": "Leads Dana-Farber's breast oncology division and many of the trials that moved ADCs and de-escalated therapy into breast cancer care.",
"summary": "Led the APT trial establishing adjuvant paclitaxel-trastuzumab for small HER2-positive tumours, and is a principal investigator across the DESTINY, TROPION a...",
"asOf": "2026-09-08",
"cancers": [
"breast-her2-positive",
"breast-hr-positive",
"tnbc"
],
"technologies": [
"adc"
],
"targets": [
"her2",
"trop2"
],
"drugs": [
"trastuzumab-deruxtecan",
"datopotamab-deruxtecan",
"sacituzumab-govitecan"
],
"institutions": [
"dana-farber"
],
"trials": [
"apt-trial",
"tropion-breast01",
"destiny-breast09"
],
"role": "Chief, Division of Breast Oncology; Associate Director, Susan F. Smith Center for Women's Cancers",
"institutionId": "dana-farber",
"specialisms": [
"Breast cancer",
"HER2-positive breast cancer",
"Antibody-drug conjugates"
],
"profiles": [
{
"label": "Dana-Farber profile",
"url": "https://www.dana-farber.org/find-a-doctor/sara-m-tolaney"
},
{
"label": "PubMed",
"url": "https://pubmed.ncbi.nlm.nih.gov/?term=Tolaney%20SM%5BAuthor%5D"
}
],
"papers": [
{
"title": "Adjuvant paclitaxel and trastuzumab for node-negative, HER2-positive breast cancer",
"journal": "New England Journal of Medicine",
"year": 2015,
"url": "https://doi.org/10.1056/NEJMoa1406281",
"doi": "10.1056/NEJMoa1406281"
},
{
"title": "Datopotamab deruxtecan versus chemotherapy in previously treated inoperable/metastatic hormone receptor-positive HER2-negative breast cancer (TROPION-Breast01)",
"journal": "Journal of Clinical Oncology",
"year": 2025,
"url": "https://doi.org/10.1200/JCO.24.00920",
"doi": "10.1200/JCO.24.00920"
}
]
}The systemic constraints slowing the whole war on cancer, with the ideas that could break each one.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "bottleneck" | yes | Discriminator; fixed per kind. |
stage | "biology" | "prevention-detection" | "trials" | "regulation-manufacturing" | "access-delivery" | "data-knowledge" | "funding-incentives" | "people-culture" | yes | Where in the pipeline it bites. |
severity | "critical" | "major" | "moderate" | yes | How much it slows the whole effort. |
metrics | { label, value, source, url }[]default [] | no | Numbers that show the size of the problem, each with a source.
|
causes | string[]default [] | no | Root causes, plain English, one per item. |
currentEfforts | string[]default [] | no | What is already being tried and by whom. |
successLooksLike | string | no | What would count as the bottleneck being broken. |
Example: b-toxicity-qol (arrays trimmed to three items, long strings shortened)
{
"id": "b-toxicity-qol",
"kind": "bottleneck",
"name": "Toxicity and quality of life are undervalued",
"tldr": "Trials measure how long people live, not how they live. Side-effects are under-reported and under-treated.",
"summary": "Oncology trials are designed around survival and progression, and the harms and lived experience of treatment are secondary at best. Clinicians systematicall...",
"asOf": "2026-09-08",
"links": [
{
"label": "Di Maio et al., Symptomatic toxicities experienced during anticancer treatment: agreement between patient and physician reporting (JCO 2015)",
"url": "https://doi.org/10.1200/JCO.2014.57.9334"
},
{
"label": "Davis et al., Availability of evidence of benefits on overall survival and quality of life of cancer drugs approved by EMA 2009-13 (BMJ 2017)",
"url": "https://doi.org/10.1136/bmj.j4530"
},
{
"label": "EORTC Quality of Life Group",
"url": "https://qol.eortc.org/"
}
],
"related": [
"fda-approvals",
"esmo-guidelines"
],
"sections": [
"supportive-care"
],
"technologies": [
"scalp-cooling",
"cardio-oncology",
"adc"
],
"institutions": [
"esmo",
"asco",
"nci"
],
"terms": [
"irae",
"crs",
"icans"
],
"stage": "people-culture",
"severity": "major",
"metrics": [
{
"label": "Cancer drug indications approved by the EMA 2009-2013 with no evidence of quality-of-life or survival benefit at approval",
"value": "57%",
"source": "Davis et al., BMJ 2017",
"url": "https://doi.org/10.1136/bmj.j4530"
},
{
"label": "Agreement between physician and patient reporting of symptomatic toxicities (anorexia, nausea, vomiting, constipation, diarrhoea, hair loss) in three randomi...",
"value": "Physicians under-reported all six symptoms",
"source": "Di Maio et al., JCO 2015",
"url": "https://doi.org/10.1200/JCO.2014.57.9334"
},
{
"label": "Median overall survival with routine patient-reported symptom monitoring vs usual care during chemotherapy (randomised)",
"value": "31.2 vs 26.0 months",
"source": "Basch et al., JAMA 2017",
"url": "https://doi.org/10.1001/jama.2017.7156"
}
],
"causes": [
"Regulatory approval and pricing are based on efficacy endpoints, so sponsors invest little in quality-of-life measurement.",
"Clinician-graded adverse event scales miss what patients feel and ignore chronic low-grade toxicity.",
"Quality-of-life analyses are heterogeneous, unpublished or reported long after the primary paper."
],
"currentEfforts": [
"PRO-CTCAE (NCI) provides a validated patient-reported version of the toxicity scale now used in many trials.",
"The FDA guidance on core patient-reported outcomes in cancer clinical trials (2021 draft) specifies which PRO domains should be measured.",
"SISAQOL-IMI is developing consensus standards for analysing and reporting quality-of-life data in cancer trials."
],
"successLooksLike": "Every registrational oncology trial collects and publishes patient-reported outcomes with the primary results, quality of life is graded in every value frame..."
}The papers that changed practice or thinking, each explained: what it found, what it means, and what to be careful about.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "paper" | yes | Discriminator; fixed per kind. |
journal | string | yes | Journal name as printed. |
year | integer | yes | Publication year. |
doi | string | no | Digital object identifier. |
pmid | string | no | PubMed id. |
authors | string | yes | "Surname A, Surname B, et al." |
paperType | "rct" | "meta-analysis" | "observational" | "real-world" | "basic" | "translational" | "review" | "guideline" | "methods" | yes | Study design. |
findings | string[]default [] | no | The key results, one per item, with the numbers. |
whatItMeans | string | yes | Plain English: what this changes for patients, clinicians or the field. |
caveats | string[]default [] | no | Limitations, open questions, disputes. |
changedPractice | boolean | no | Did it change guidelines or approvals? |
participants | integer | no | Roughly how many participants, for trials and cohorts. |
Example: paper-destiny-breast03-nejm-2022 (arrays trimmed to three items, long strings shortened)
{
"id": "paper-destiny-breast03-nejm-2022",
"kind": "paper",
"name": "DESTINY-Breast03: trastuzumab deruxtecan beats T-DM1 as second-line treatment of HER2-positive metastatic breast cancer",
"tldr": "A newer antibody-drug conjugate, trastuzumab deruxtecan, kept HER2-positive metastatic breast cancer under control roughly four times longer than the previou...",
"summary": "Open-label phase 3 trial of 524 patients with HER2-positive unresectable or metastatic breast cancer previously treated with trastuzumab and a taxane, random...",
"asOf": "2026-09-08",
"links": [
{
"label": "NEJM 2022",
"url": "https://doi.org/10.1056/NEJMoa2115022"
},
{
"label": "ClinicalTrials.gov NCT03529110",
"url": "https://clinicaltrials.gov/study/NCT03529110"
}
],
"related": [
"idea-payload-switching"
],
"cancers": [
"breast-her2-positive"
],
"technologies": [
"adc",
"topoisomerase-inhibitors"
],
"targets": [
"her2"
],
"drugs": [
"trastuzumab-deruxtecan",
"trastuzumab-emtansine"
],
"companies": [
"daiichi-sankyo",
"astrazeneca"
],
"terms": [
"pfs",
"os",
"payload"
],
"trials": [
"destiny-breast03"
],
"people": [
"javier-cortes",
"kim-sung-bae",
"im-seock-ah"
],
"bottlenecks": [
"b-resistance",
"b-toxicity-qol"
],
"journal": "New England Journal of Medicine",
"year": 2022,
"doi": "10.1056/NEJMoa2115022",
"authors": "Cortes J, Kim SB, Chung WP, et al.",
"paperType": "rct",
"findings": [
"12-month progression-free survival 75.8% with T-DXd vs 34.1% with T-DM1; HR 0.28 (95% CI 0.22-0.37).",
"Confirmed objective response 79.7% vs 34.2%.",
"Updated analysis (Lancet 2023): median PFS 28.8 vs 6.8 months; overall survival HR 0.64."
],
"whatItMeans": "For HER2-positive metastatic breast cancer that has progressed after trastuzumab and a taxane, trastuzumab deruxtecan is now the standard second-line treatme...",
"caveats": [
"Open-label design, though the primary endpoint was assessed by blinded central review.",
"Interstitial lung disease requires proactive CT surveillance and dose interruption; fatal cases occurred in other T-DXd trials.",
"Many patients had not received pertuzumab-based first-line therapy, so the population differs slightly from today's second line."
],
"changedPractice": true,
"participants": 524
}Where the evidence is published: the journals, their scope and access model, and the key papers each one carried.
| Field | Type | Required | Description |
|---|---|---|---|
kind | "journal" | yes | Discriminator; fixed per kind. |
publisher | string | yes | Publisher. |
url | URL | yes | Official URL. |
issn | string | no | ISSN. |
scope | string | yes | Broad scope: general medicine, oncology, haematology, basic science, radiology, etc. |
access | "subscription" | "hybrid" | "open-access" | "diamond" | no | Open access model: subscription, hybrid, open access, diamond. |
founded | integer | no | Year founded. |
impactFactor | { value, year, source } | no | Latest impact factor or citation metric, with the year it refers to. Optional and clearly labelled.
|
matchNames | string[]default [] | no | Names as they appear in paper records, so papers can be matched to this journal. |
society | string | no | Owning or affiliated society. |
Example: annals-of-oncology (arrays trimmed to three items, long strings shortened)
{
"id": "annals-of-oncology",
"kind": "journal",
"name": "Annals of Oncology",
"aka": [
"Ann Oncol"
],
"tldr": "Annals of Oncology is ESMO's flagship journal, publishing European phase 3 trials, the ESMO Clinical Practice Guidelines and the abstract books for the ESMO ...",
"summary": "Annals of Oncology appears monthly and publishes the ESMO Clinical Practice Guidelines (free to read), ESMO-MCBS benefit scores, trial results often presente...",
"asOf": "2026-09-09",
"links": [
{
"label": "ESMO Guidelines",
"url": "https://www.esmo.org/guidelines"
}
],
"related": [
"src-annals-oncology",
"src-esmo-congress",
"esmo-guidelines"
],
"institutions": [
"esmo"
],
"publisher": "Elsevier",
"url": "https://www.annalsofoncology.org",
"issn": "0923-7534",
"scope": "clinical oncology",
"access": "hybrid",
"founded": 1990,
"impactFactor": {
"value": 56.7,
"year": 2023,
"source": "Clarivate Journal Citation Reports 2024 (2023 JIF)"
},
"matchNames": [
"Annals of Oncology",
"Ann Oncol"
],
"society": "European Society for Medical Oncology"
}Statuses
One shared list across kinds. Products use the approval and phase values; trials use recruiting, active, completed and the outcome values; technologies use established, emerging and historic.
| Value | Shown as |
|---|---|
approved | Approved |
phase-3 | Phase 3 |
phase-2 | Phase 2 |
phase-1 | Phase 1 |
preclinical | Preclinical |
concept | Concept |
standard-of-care | Standard of care |
established | Established |
emerging | Emerging |
historic | Historic |
withdrawn | Withdrawn |
active | Active |
completed | Completed |
recruiting | Recruiting |
positive | Positive |
negative | Negative |
mixed | Mixed |
planned | Planned |