Renal carcinoma

disease
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Also known as carcinoma of kidneykidney (including renal cell) cancerkidney (renal) cancerkidney cancerkidney carcinomarenal cancer

Summary

Renal carcinoma (MONDO:0005206) is a cancer caused by FLCN (GenCC Strong), with 3 cohort genes (108 GWAS associations across 7 studies; 3 CIViC-evidence somatic drivers) and 680 clinical trials. Molecularly, BAP1 Loss confers sensitivity to Olaparib in Renal Carcinoma (CIViC Level D); 3 further subtype–drug associations are mapped below. Top therapeutic interventions include sunitinib, aldesleukin, and cyclophosphamide anhydrous.

At a glance

  • Classification: Cancer
  • Causal gene: FLCN (GenCC Strong)
  • Cohort genes: 3
  • GWAS associations: 108
  • Clinical trials: 680
  • Precision-medicine evidence (CIViC): 4 subtype–drug associations

Clinical features

No curated clinical features (Orphanet) for this disease.

Identifiers

Disease identifiers

FieldValue
Canonical namerenal carcinoma
Mondo IDMONDO:0005206
EFOEFO:0002890
DOIDDOID:4451
ICD-111075394530
NCITC9384
UMLSC1378703
MedGen235133
Anatomy (UBERON)UBERON:0002113
Is cancer (heuristic)yes

Also known as: carcinoma of kidney · kidney (including renal cell) cancer · kidney (renal) cancer · kidney cancer · kidney carcinoma · renal cancer · renal carcinoma

Data availability: 108 GWAS associations (7 studies) · 1 GenCC gene-disease record.

Disease family

An umbrella term covering 3 Mondo subtypes.

Classification path: disease › human disease › disease by etiologic mechanism › cancer or benign tumorneoplastic disease or syndromeneoplasmcancermalignant urinary system neoplasmkidney cancerrenal carcinoma

Related subtypes (7): kidney sarcoma, mesoblastic nephroma, kidney Wilms tumor, Graham-Boyle-Troxell syndrome, malignant mixed epithelial stromal tumor of the kidney, childhood malignant kidney neoplasm, malignant renal pelvis neoplasm

Subtypes (3): kidney carcinoma in situ, renal cell carcinoma, renal pelvis carcinoma

Genetics & variants

GWAS landscape

108 GWAS associations across 7 studies. Top hits map to 36 distinct genes (as reported by GWAS).

Top associations by p-value

rsIDp-valueGeneRisk alleleOdds ratio
rs79486436e-72LINC02956 - LINC02953C0.69
rs49030642e-59DPF3C1.22
rs64705882e-41PVT1C1.15
rs128147942e-40SSPN-AS1, SSPNA0.86
rs353660042e-33EPAS1T1.14
rs112634328e-33LINC02953 - LINC02952C0.88
rs289705243e-29MAD1L1T1.15
rs111250682e-28EPAS1G0.89
rs49805723e-27MYEOV - LINC02956A0.89
rs108467492e-24SCARB1C1.12
rs126894431e-21MTND4P24 - DCAF12L1A0.91
rs557357271e-20ACTRT3 - MYNNT0.88
rs107920359e-20MYEOVG0.91
rs562007723e-19GRB10G0.85
rs617585564e-19AKT1T0.87
rs1413790095e-18ATMG1.35
rs38073068e-18IRF5T0.91
rs1797843e-17KCNQ1A0.92
rs41409521e-16DPF3G1.09
rs20343272e-16EPAS1C0.91
rs730735613e-16ENTPD3-AS1T0.91
rs19904434e-16DPF3T1.1
rs7626242e-14CDKN1A, DINOLC1.09
rs727974043e-14EPAS1, LINC01820C1.1
rs77349924e-14TERTC1.09
rs1323836e-14EMID1C0.71
rs571094807e-14DNAJC16A0.92
rs76295002e-13VHLA1.86
rs76979322e-13H2AZ1-DTG0.92
rs22772834e-13INCENPC1.09

Top studies (by case count)

StudyLead authorYearCasesControlsTitle
GCST90320054Purdue MP202425,890743,585Multi-ancestry genome-wide association study of kidney cancer identifies 63 susceptibility regions.
GCST90320057Purdue MP202425,890743,585Multi-ancestry genome-wide association study of kidney cancer identifies 63 susceptibility regions.
GCST90320063Purdue MP20241,6122,180Multi-ancestry genome-wide association study of kidney cancer identifies 63 susceptibility regions.
GCST90320060Purdue MP20248973,109Multi-ancestry genome-wide association study of kidney cancer identifies 63 susceptibility regions.
GCST90320065Purdue MP202462186,796Multi-ancestry genome-wide association study of kidney cancer identifies 63 susceptibility regions.
GCST90141009Xin J202200SUMMER: a Mendelian randomization interactive server to systematically evaluate the causal effects of risk factors and circulating biomarkers on pan-cancer survival.
GCST90141026Xin J202200SUMMER: a Mendelian randomization interactive server to systematically evaluate the causal effects of risk factors and circulating biomarkers on pan-cancer survival.

Variant details and genetic-evidence tiers

Tier distribution (top 50 variants)

TierVariants
Tier 1: coding2
Tier 2: splice/UTR3
Tier 3: regulatory2
Tier 4: intronic/intergenic43

MAF distribution

BucketVariants
common (>=0.05)46
low_freq (0.01-0.05)4
rare (<0.01)0
unknown0

Functional consequences

ConsequenceCount
intron_variant35
intergenic_variant6
3_prime_UTR_variant3
non_coding_transcript_exon_variant2
regulatory_region_variant2
missense_variant2

Top variants

rsIDChrPosAllelesMAFConsequenceGenep-valueTier
rs79486431169419852T>C,G0.131non_coding_transcript_exon_variantLINC02956 - LINC029536e-72Tier 4: intronic/intergenic
rs49030641472812712T>C0.245intron_variantDPF32e-59Tier 4: intronic/intergenic
rs64705888127877125A>C,G,T0.456intron_variantPVT12e-41Tier 4: intronic/intergenic
rs128147941226287765G>A0.291intron_variantSSPN-AS1, SSPN2e-40Tier 4: intronic/intergenic
rs35366004246330823G>A,C,T0.467intron_variantEPAS12e-33Tier 4: intronic/intergenic
rs112634321169432586T>A,C,G0.386regulatory_region_variantLINC02953 - LINC029528e-33Tier 3: regulatory
rs2897052471887848C>A,G,T0.385intron_variantMAD1L13e-29Tier 4: intronic/intergenic
rs11125068246300677A>G,T0.421intron_variantEPAS12e-28Tier 4: intronic/intergenic
rs49805721169379851G>A,C,T0.419intergenic_variantMYEOV - LINC029563e-27Tier 4: intronic/intergenic
rs1084674912124833902G>A,C,T0.353intron_variantSCARB12e-24Tier 4: intronic/intergenic
rs12689443X126509439G>A,T0.384intergenic_variantMTND4P24 - DCAF12L11e-21Tier 4: intronic/intergenic
rs557357273169770360A>C,G,T0.248intron_variantACTRT3 - MYNN1e-20Tier 4: intronic/intergenic
rs107920351169306340A>C,G,T0.387intron_variantMYEOV9e-20Tier 4: intronic/intergenic
rs56200772750676250C>G0.116intron_variantGRB103e-19Tier 4: intronic/intergenic
rs6175855614104790238A>T0.152intron_variantAKT14e-19Tier 4: intronic/intergenic
rs14137900911108278480T>G0.025intron_variantATM5e-18Tier 4: intronic/intergenic
rs38073067128940626G>A,C,T0.48intron_variantIRF58e-18Tier 4: intronic/intergenic
rs179784112760594G>A0.482intron_variantKCNQ13e-17Tier 4: intronic/intergenic
rs41409521472828118A>G0.416intron_variantDPF31e-16Tier 4: intronic/intergenic
rs2034327246321901G>C0.478intron_variantEPAS12e-16Tier 4: intronic/intergenic
rs73073561340315807G>T0.329intergenic_variantENTPD3-AS13e-16Tier 4: intronic/intergenic
rs19904431472806207C>T0.248intron_variantDPF34e-16Tier 4: intronic/intergenic
rs762624636677811A>C,G,T0.292non_coding_transcript_exon_variantCDKN1A, DINOL2e-14Tier 4: intronic/intergenic
rs72797404246351259T>C0.277intron_variantEPAS1, LINC018203e-14Tier 4: intronic/intergenic
rs773499251280013T>A,C0.428intron_variantTERT4e-14Tier 4: intronic/intergenic
rs1323832229217531A>C,G0.02intron_variantEMID16e-14Tier 4: intronic/intergenic
rs57109480115585981G>A0.317intergenic_variantDNAJC167e-14Tier 4: intronic/intergenic
rs7629500310150788G>A0.0883_prime_UTR_variantVHL2e-13Tier 2: splice/UTR
rs76979324100084161A>G,T0.319intron_variantH2AZ1-DT2e-13Tier 4: intronic/intergenic
rs22772831162140968T>A,C,G0.307missense_variantINCENP4e-13Tier 1: coding

Genes & proteins

Mendelian disease overlap and somatic drivers

GenCC: 12 · Orphanet: 8 · OMIM-shared: 0 · Dual-evidence (GWAS+Mendelian): 0

Somatic driver evidence (intOGen + CIViC, cohort fanout)

GeneintOGen roleCancer typesCIViC
RNF2LoFBRCA,CCRCC,CESC,CHOL,ESCA,HCC,PANCREAS,PLMESO,PRCC,RCC,SACA,SKCM,STAD,UMCIViC #70
VHLLoFCCRCC,PGNG,RCCCIViC #58
FLCNLoFLUADCIViC #19959

GenCC gene–disease validity (cohort genes)

the Disease column is the GenCC-asserted condition — a cohort gene’s strongest validity may be for a related predisposition syndrome.

GeneClassificationInheritanceDiseaseRecords
FLCNStrongAutosomal dominantrenal carcinoma12

Orphanet rare-disease linkage (cohort genes)

GeneOrphanet IDRare disease
RNF2Orphanet:528084Non-specific syndromic intellectual disability
VHLOrphanet:238557Chuvash erythrocytosis
VHLOrphanet:276621Sporadic pheochromocytoma/secreting paraganglioma
VHLOrphanet:29072Hereditary pheochromocytoma-paraganglioma
VHLOrphanet:892Von Hippel-Lindau disease
FLCNOrphanet:122Birt-Hogg-Dubé syndrome
FLCNOrphanet:2903Familial spontaneous pneumothorax
FLCNOrphanet:422526Hereditary clear cell renal cell carcinoma

Cohort genes → proteins

3 cohort genes, 3 distinct canonical proteins.

Evidence partition

SubsetGenes
civic_only2
multi_evidence1

Cohort genes (full)

SymbolHGNCEnsemblUniProtNameEvidence
RNF2HGNC:10061ENSG00000121481Q99496E3 ubiquitin-protein ligase RING2civic_evidence
VHLHGNC:12687ENSG00000134086P40337von Hippel-Lindau disease tumor suppressorcivic_evidence
FLCNHGNC:27310ENSG00000154803Q8NFG4Folliculingencc

Cohort function summary

Lead sentence per gene, UniProt-curated.

SymbolProtein nameFunction (lead sentence)
RNF2E3 ubiquitin-protein ligase RING2E3 ubiquitin-protein ligase that mediates monoubiquitination of ‘Lys-119’ of histone H2A (H2AK119Ub), thereby playing a central role in histone code and gene regulation.
VHLvon Hippel-Lindau disease tumor suppressorInvolved in the ubiquitination and subsequent proteasomal degradation via the von Hippel-Lindau ubiquitination complex.
FLCNFolliculinMulti-functional protein, involved in both the cellular response to amino acid availability and in the regulation of glycolysis.

Protein-family classification

Druggable: 1 · Difficult: 1 · Unknown: 1 · Druggable fraction: 0.33

Family distribution

Cohort families vs a genome-wide background (hypergeometric, BH-FDR; fold = observed/expected). Counts kept; sorted by enrichment, so the catch-all Other/Unknown bucket no longer leads.

FamilyGenesFoldFDR
Enzyme (other)14.0×0.482
Transcription factor12.8×0.482
Other/Unknown10.6×0.914

Per-gene assignment

SymbolFamilyDruggable?ECInterPro (top 3)
RNF2Transcription factorno2.3.2.27Znf_RING, Znf_RING/FYVE/PHD, Znf_RING_CS
VHLEnzyme (other)yes2.3.2.B13VHL_tumour_suppress_b/a_dom, VHL_alpha_dom, VHL_beta_dom
FLCNOther/UnknownnoFolliculin, Folliculin_DENN, Folliculin/SMCR8_longin

Expression context

Cohort genes with no expression data: 0.

3 cohort genes are a single-cell marker in ≥1 SCXA experiment.

Breadth distribution (Bgee present_calls)

BucketGenes
narrow (1-5 tissues)0
moderate (6-20)0
broad (>20)3
unknown0

Top tissues across cohort

TissueCohort genes
cortical plate2
ganglionic eminence1
primordial germ cell in gonad1
monocyte1
mononuclear cell1
buccal mucosa cell1
cerebellar hemisphere1
right hemisphere of cerebellum1

Per-gene tissue summary (top 30)

SymbolBgee breadthFANTOM5 breadthSCXATop tissues
RNF2178ubiquitousmarkerprimordial germ cell in gonad, cortical plate, ganglionic eminence
VHL186ubiquitousmarkercortical plate, monocyte, mononuclear cell
FLCN261ubiquitousmarkerbuccal mucosa cell, right hemisphere of cerebellum, cerebellar hemisphere

Protein interactions among cohort

Intra-cohort edges: 0.

Hub genes (top 10 by interactor count)

SymbolInteractor count
RNF23,814
VHL3,522
FLCN1,317

Structural data

PDB: 3 · AlphaFold-only: 0 · No structure: 0

Cohort genes with PDB structures (top 30)

SymbolUniProtPDB entries
VHLP40337142
RNF2Q9949615
FLCNQ8NFG44

Function

Pathway analysis

Distinct Reactome pathways touched by cohort: 18. Enrichment computed across 3 evidence-associated genes (3 with Reactome annotation).

Pathways by enrichment

Over-representation of cohort genes vs the genome-wide background (hypergeometric test, Benjamini-Hochberg FDR; fold = observed/expected over 3 annotated cohort genes). Counts and members are kept as ground-truth; sorted by enrichment.

PathwayCohort genesFoldFDRSample cohort genes
Replication of the SARS-CoV-1 genome1951.7×0.009VHL
Replication of the SARS-CoV-2 genome1951.7×0.009VHL
RHOBTB3 ATPase cycle1380.7×0.016VHL
SUMOylation of DNA methylation proteins1223.9×0.020RNF2
RUNX1 interacts with co-factors whose precise effect on RUNX1 targets is not known1100.2×0.024RNF2
SUMOylation of ubiquitinylation proteins197.6×0.024VHL
Transcriptional Regulation by E2F6197.6×0.024RNF2
SUMOylation of transcription cofactors181.0×0.024RNF2
SUMOylation of RNA binding proteins179.3×0.024RNF2
Amino acids regulate mTORC1166.8×0.024FLCN
Oxygen-dependent proline hydroxylation of Hypoxia-inducible Factor Alpha165.6×0.024VHL
Regulation of PTEN gene transcription159.5×0.024RNF2
SUMOylation of chromatin organization proteins152.9×0.024RNF2
SUMOylation of DNA damage response and repair proteins148.8×0.024RNF2
Differentiation of naive CD4+ T cells to T helper 2 cells (Th2 cells)148.8×0.024RNF2
Oxidative Stress Induced Senescence130.2×0.037RNF2
Neddylation115.8×0.066VHL
Antigen processing: Ubiquitination & Proteasome degradation112.4×0.079VHL

GO biological processes by enrichment

Over-representation of cohort genes vs the genome-wide background (hypergeometric test, Benjamini-Hochberg FDR; fold = observed/expected over 3 annotated cohort genes). Counts and members are kept as ground-truth; sorted by enrichment.

GO termCohort genesFoldFDRSample cohort genes
negative regulation of cell proliferation involved in kidney development15617.3×0.006FLCN
negative regulation of transcription by RNA polymerase II317.7×0.006RNF2, VHL, FLCN
cell proliferation involved in kidney development11872.4×0.009FLCN
negative regulation of post-translational protein modification11404.3×0.009FLCN
negative regulation of lysosome organization11404.3×0.009FLCN
regulation of pro-B cell differentiation11123.5×0.009FLCN
regulation of cellular response to hypoxia1936.2×0.009VHL
negative regulation of brown fat cell differentiation1936.2×0.009FLCN
regulation of Ras protein signal transduction1624.1×0.011FLCN
protein ubiquitination227.6×0.011RNF2, VHL
negative regulation of glycolytic process1351.1×0.014FLCN
gastrulation with mouth forming second1312.1×0.014RNF2
regulation of TOR signaling1312.1×0.014FLCN
negative regulation of receptor signaling pathway via JAK-STAT1295.6×0.014VHL
TOR signaling1255.3×0.014FLCN
negative regulation of transcription elongation by RNA polymerase II1255.3×0.014VHL
negative regulation of Rho protein signal transduction1255.3×0.014FLCN
anterior/posterior axis specification1244.2×0.014RNF2
obsolete negative regulation of DNA-binding transcription factor activity1244.2×0.014RNF2
amyloid fibril formation1200.6×0.016VHL
negative regulation of TOR signaling1187.2×0.016FLCN
positive regulation of transforming growth factor beta receptor signaling pathway1175.5×0.016FLCN
lysosome localization1175.5×0.016FLCN
positive regulation of TOR signaling1165.2×0.016FLCN
positive regulation of intrinsic apoptotic signaling pathway1160.5×0.016FLCN
germ cell development1151.8×0.016RNF2
cell-cell junction assembly1147.8×0.016FLCN
epigenetic regulation of gene expression1127.7×0.018RNF2
negative regulation of signal transduction1124.8×0.018VHL
intrinsic apoptotic signaling pathway1119.5×0.018FLCN

Therapeutics

Drugs indicated or in trials for this disease

8 approved drugs — disease-direct ChEMBL indications, not inferred from the associated-gene cohort below.

DrugStatus
AxitinibApproved (phase 4)
IpilimumabApproved (phase 4)
Medroxyprogesterone AcetateApproved (phase 4)
NivolumabApproved (phase 4)
PembrolizumabApproved (phase 4)
AvelumabApproved (phase 3)
CabozantinibApproved (phase 3)
LenvatinibApproved (phase 3)

Drug target analysis

Approved (phase 4): 1 · Phase ≥3: 1 · Phased (≥1): 1 · Undrugged: 2

Druggability breadth: 2 of 3 evidence-associated genes (67%) have a ChEMBL target (buckets above are over the deeply-mined display cohort).

Genes with an approved drug

The molecule shown is one approved compound that hits the gene — not necessarily a drug of choice or one indicated for this disease.

SymbolExample approved molecule
VHLOSIMERTINIB

Top cohort targets by molecule count

SymbolMoleculesMax phase
VHL74
RNF200
FLCN00

Drugs targeting cohort genes (top 30)

MoleculeMax phaseTargets in cohort
OSIMERTINIB4VHL
BRIGATINIB4VHL
CRIZOTINIB4VHL
ADAGRASIB4VHL
ZIMLOVISERTIB2VHL
FORETINIB2VHL
DT-22161VHL

Bioactivity and enzyme data

Enzyme cohort genes (≥1 EC): 2.

Cohort genes with ChEMBL bioactivity (full, sorted by assay count)

SymbolAssaysType breakdown
VHL3,575Binding:3482, Functional:54, ADMET:39
RNF216Binding:16

Cohort enzymes (BRENDA EC)

SymbolEC numbersNames
RNF22.3.2.27RING-type E3 ubiquitin transferase
VHL2.3.2.B13

Cohort genes with high screening signal

≥100 ChEMBL assays — a studied-ness signal; see Therapeutics for approved-drug status.

SymbolChEMBL assays
VHL3,575

Pharmacogenomics

Cohort genes with a PharmGKB record: 3; with CPIC/DPWG dosing guidelines: 0.

No cohort gene has a CPIC/DPWG genotype-guided dosing guideline (PharmGKB).

Drug repurposing candidates

7 approved/phased drugs hit cohort targets but don’t yet appear in disease-level clinical trials. Target-inhibition rationale is strongest for cancer driver genes; a bioactivity hit is a screening signal, not a treatment claim.

CompoundMax phaseCohort target (bioactivity)
OSIMERTINIB4VHL
BRIGATINIB4VHL
CRIZOTINIB4VHL
ADAGRASIB4VHL
ZIMLOVISERTIB2VHL
FORETINIB2VHL
DT-22161VHL

Druggability pyramid

Cohort genes binned by druggability tier (high → low):

TierDefinitionGenesSymbols
AApproved (phase 4 drug)1VHL
BPhased (≥1) drug, not yet approved0
CDruggable family + PDB, no drug0
DDruggable family + AlphaFold only, no drug0
EDifficult family or no structure, no drug2RNF2, FLCN

Undrugged target profiles

2 cohort genes are undrugged. Ranked by ‘starting-point quality’ (assay depth + drugged-partner adjacency).

SymbolChEMBL assaysDrugged partners (top 3)
RNF216
FLCN0

Clinical trials & evidence

Clinical trials

Clinical trials: 680.

Phase distribution (across all retrieved trials)

PhaseTrials
Not specified274
PHASE2200
PHASE191
PHASE1/PHASE250
PHASE339
EARLY_PHASE113
PHASE412
PHASE2/PHASE31

Top trials by phase / activity

NCTPhaseStatusTitle
NCT05805436PHASE4RECRUITINGPreop Laxatives in Robotic Urologic Surgery
NCT06903312PHASE4RECRUITINGPrimary Tumor Ablation and Outcome in Metastatic Renal Cell Carcinoma Treated With Immunotherapy Combinations.
NCT06934057PHASE4RECRUITINGCabozantinib and Nivolumab Among Older Patients With Renal Cell Carcinoma
NCT00006864PHASE4COMPLETEDInterleukin-2 in Treating Patients With Metastatic Kidney Cancer
NCT00365508PHASE4COMPLETEDCounseling and Nicotine Replacement Therapy in Helping Adult Smokers Quit Smoking
NCT00666978PHASE4COMPLETEDHealth Education Counseling With or Without Bupropion in Helping African Americans Stop Smoking
NCT01486550PHASE4TERMINATEDHydroxyethyl Starch and Renal Function After Laparoscopic Nephrectomy
NCT02988219PHASE4COMPLETEDCardiac Arrhythmias in Patients Undergoing Kidney Cancer Surgery Depending on the Anaesthesia Method
NCT03444766PHASE4COMPLETEDStudy of Nivolumab for Advanced Cancers in India
NCT03514550PHASE4COMPLETEDEffects of Anesthesia on Immunity in Cancer
NCT03824808PHASE4TERMINATEDEffect of Perioperative Intravenous Lidocaine Infusion in Robotic-Assisted Urologic Surgery
NCT04162834PHASE4COMPLETEDEffect of Papaverine on Renal Artery Blood Flow Volume
NCT03755739PHASE2/PHASE3RECRUITINGTrans-Artery/Intra-Tumor Infusion of Checkpoint Inhibitors Plus Chemodrug for Immunotherapy of Advanced Solid Tumors
NCT04523272PHASE3ACTIVE_NOT_RECRUITINGA Study of TQB2450 Injection Combined With Anlotinib Hydrochloride Capsule Versus Sunitinib in Subjects With Advanced Renal Cancer
NCT05796973PHASE3RECRUITINGMeasuring Oncological Value of Exercise and Statin
NCT06349668PHASE3RECRUITINGSpinal Morphine or Intravenous Lidocaine in Robot-assisted Upper Urologic Surgery
NCT06364631PHASE3RECRUITINGCARE1 Pragmatic Clinical Trial
NCT06726421PHASE3RECRUITINGSystemic Therapy Alone or With Stereotactic Body Radiotherapy for Oligometastatic Kidney Cancer (STROKER Study)
NCT06959433PHASE3NOT_YET_RECRUITINGLu-177 PSMA Treatment in Cell Renal Carcinoma
NCT07092566PHASE3RECRUITINGR.E.C.K vs Exparel in Robotic Nephrectomy
NCT07338981PHASE3NOT_YET_RECRUITINGThe Impact of Time-of-day-Dependent Administration of Nivolumab-Ipilimumab (ICI/ICI) Combination on Overall Survival in Adults With Advanced Kidney Cancer: A Pragmatic Multicenter, Randomized Controlled Trial.
NCT00002473PHASE3COMPLETEDKidney-Sparing Surgery Compared With Kidney Removal in Treating Patients With Kidney Cancer
NCT00002610PHASE3COMPLETEDChemotherapy With or Without Surgery, Radiation Therapy, or Stem Cell Transplantation in Treating Young Patients With Kidney Tumors
NCT00002611PHASE3COMPLETEDCombination Chemotherapy Alone or With Radiation Therapy in Treating Children With Kidney Cancer
NCT00002641PHASE3COMPLETEDSurgery With or Without Chemotherapy in Treating Patients With Soft Tissue Sarcoma
NCT00002737PHASE3COMPLETEDInterferon Alfa With or Without Isotretinoin in Treating Patients With Metastatic Kidney Cancer
NCT00002764PHASE3COMPLETEDSurgery With or Without Combination Chemotherapy in Treating Patients With Lung Metastases From Soft Tissue Sarcoma
NCT00003126PHASE3COMPLETEDInterleukin-2 in Treating Patients With Stage III or Stage IV Kidney Cancer
NCT00003804PHASE3UNKNOWNChemotherapy Plus Surgery in Treating Children at Risk of or With Stage I Wilms’ Tumor
NCT00005966PHASE3COMPLETEDInterferon Alfa-2b With or Without Thalidomide in Treating Patients With Metastatic or Unresectable Kidney Cancer
NCT00005995PHASE3COMPLETEDAE-941 in Treating Patients With Metastatic Kidney Cancer
NCT00018941PHASE3COMPLETEDInterleukin-2 in Treating Patients With Metastatic Kidney Cancer
NCT00047138PHASE3UNKNOWNChemotherapy Before and After Surgery in Treating Children With Wilm’s Tumor
NCT00053807PHASE3COMPLETEDInterleukin-2, Interferon Alfa, and Fluorouracil Compared With Observation in Treating Patients Who Have Undergone Surgery for Kidney Cancer
NCT00053820PHASE3COMPLETEDInterferon Alfa With or Without Interleukin-2 and Fluorouracil in Treating Patients With Advanced Metastatic Kidney Cancer
NCT00072046PHASE3COMPLETEDInterferon Alfa-2b With or Without Bevacizumab in Treating Patients With Advanced Renal Cell Carcinoma (Kidney Cancer)
NCT00087022PHASE3COMPLETEDMonoclonal Antibody Therapy (Rencarex®) in Treating Patients Who Have Undergone Surgery for Non-metastatic Kidney Cancer
NCT00126178PHASE3TERMINATEDClinical Trial Studying a Personalized Cancer Vaccine in Patients With Non-metastatic Kidney Cancer
NCT00369564PHASE3COMPLETEDGlutamic Acid in Reducing Nerve Damage Caused by Vincristine in Young Patients With Cancer
NCT00416429PHASE3COMPLETEDMedroxyprogesterone or Interferon and/or Aldesleukin in Treating Patients With Metastatic Kidney Cancer

Drugs tested across these trials (top 30)

MoleculeMax phaseTrials referencing
SUNITINIB444
ALDESLEUKIN441
CYCLOPHOSPHAMIDE ANHYDROUS46
AXITINIB45
CABOZANTINIB45
DACTINOMYCIN45
DOXORUBICIN HYDROCHLORIDE44
FILGRASTIM44
PEGINTERFERON ALFA-2B44
SARGRAMOSTIM44
VINCRISTINE SULFATE44
ERLOTINIB HYDROCHLORIDE43
IFOSFAMIDE43
IPILIMUMAB43
PAZOPANIB43
SORAFENIB TOSYLATE43
TEMOZOLOMIDE43
TEMSIROLIMUS43
AMIFOSTINE42
ARSENIC TRIOXIDE42
BELZUTIFAN42
CARBOPLATIN42
CARFILZOMIB42
DENILEUKIN DIFTITOX42
ETOPOSIDE42
FLUDEOXYGLUCOSE F 1842
GEFITINIB42
ISOTRETINOIN42
NIVOLUMAB42
PERFLUTREN42

Precision-medicine subtype map (CIViC)

Drug × molecular subtype: 4 predictive associations from 4 curated evidence items; also 31 predisposing, 2 oncogenic.

Molecular subtypeTherapyEffectLevelCIViC
BAP1 LossOlaparibSensitivity/ResponseCIViC DEID5930
FLCN LossSirolimusSensitivity/ResponseCIViC DEID5991
VHL LossTemsirolimusSensitivity/ResponseCIViC DEID1035
RHEB Y35NSirolimusResistanceCIViC DEID6340