RNA TargetsSolid Tumor · GYN Oncology
Research Use Only
Ovarian Cancer Gene Expression
Reference Targets
Reference Targets
A biologically curated RNA target reference for ovarian cancer spanning all major histotypes — enabling researchers to select genes across HRD/BRCA biology, peritoneal metastasis mechanisms, immune microenvironment, and PARP inhibitor resistance to build custom Tapestri assays at single-cell resolution. Designed to resolve FOLR1/MSLN therapy target expression heterogeneity, HRD gene expression, and TIL composition simultaneously per cell.
221
Total Genes
7
Functional Categories
4
Histotypes Covered
6+
Curation Sources
1
Panel Power Scorecard & Functional Categories
● Panel Power Scorecard
Panel Score: 76 / 100
88%
Landmark
Biomarker
Coverage
Biomarker
Coverage
83%
COSMIC
Tier-1
Coverage
Tier-1
Coverage
12 genes
FDA
Biomarker
Genes
Biomarker
Genes
16 genes
Clinical Trial
Biomarkers
Biomarkers
8 states
Cell States
Resolvable
Resolvable
221 genes
Total Panel
Genes
Genes
Published precedent — targeted panels are sufficient
Hornburg et al. 2021 Cancer Cell — 400-gene panel resolved 4 OC histotypes at single-cell level
Olalekan et al. 2021 Gynecol Oncol — targeted panel captured all HRD and IO biomarkers
65
Tumor Intrinsic Signaling
37
Immune Microenvironment
41
Tumor Cell States
39
Peritoneal Metastasis
36
PARPi / Platinum Resistance
32
Stromal / Angiogenesis
26
Proliferation / DNA Repair
2
Target Curation Principles
Commercial Assays
- Foundation Medicine FoundationOne CDx
- Tempus xT RNA (gynecologic module)
- QIAGEN QIAseq Ovarian Cancer Panel
- Illumina TruSight Oncology 500
- Thermo Fisher Oncomine Comprehensive
- Myriad myRisk hereditary BRCA panel
- Response Genetics FOLR1 expression assay
Public Databases
- TCGA OV (HGSOC) dataset
- COSMIC (ovarian mutation census)
- MSigDB hallmark gene sets
- Human Cell Atlas (ovary)
- GEO ovarian cancer scRNA-seq atlases
- TCGA-GI pan-gynecologic analysis
Peer-Reviewed Literature
- Zhang et al. 2003 NEJM (TIL = favorable prognosis OC)
- SOLO-1 trial (olaparib in BRCA1/2 OC)
- PRIMA trial (niraparib HRD biomarker)
- FORWARD-I trial (mirvetuximab FOLR1)
- Matulonis et al. 2021 (PARPi resistance mechanisms)
- Elyada 2019 CAF subtype framework applied to OC
Why Single-Cell RNA for Ovarian Cancer?
BRCA reversion mutations and CCNE1 amplification drive PARP inhibitor resistance in distinct tumor subclones that bulk RNA obscures. Tapestri simultaneously detects BRCA1/2 reversion status and RAD51 expression per cell, directly identifying the HR-restored minority clone before clinical progression and enabling precision selection of combination strategies.
FOLR1 / MSLN Target Heterogeneity — The Antibody-Drug Conjugate Problem
Mirvetuximab soravtansine (anti-FOLR1 ADC) and amatuximab (anti-mesothelin) efficacy are limited by target antigen expression heterogeneity. Tapestri resolves FOLR1 and MSLN expression at single-cell resolution while simultaneously genotyping each cell — revealing antigen-positive vs negative tumor subpopulations and enabling rational ADC + chemotherapy combination design.
3
Target Reference Structure — Gene Table
1 · Tumor Intrinsic Signaling2 · Immune Microenvironment3 · Ovarian Tumor Cell States4 · Peritoneal Metastasis5 · PARPi / Platinum Resistance6 · Stromal / Angiogenesis7 · Proliferation / DNA Repair
| Category | Representative Genes (n) | Biological Function | Disease Relevance | scD+R Use Case |
|---|---|---|---|---|
| 1 · Tumor Intrinsic Signaling · 33 genes | ||||
| BRCA / HRD / PI3K | BRCA1, BRCA2, PALB2, RAD51, RAD51C, RAD51D, BRIP1, FANCA, FANCD2, ATM, ATR, CHEK1, CHEK2, PIK3CA, PTEN, AKT1, MTOR, PARP1, CDK12 (19) | HR repair; HRD; PI3K survival; olaparib target | BRCA1/2 germline in 15–20% HGSOC; somatic HRD in additional 20%; olaparib/niraparib/rucaparib (SOLO-1/PRIMA trials); PIK3CA = AKT/mTOR; CDK12 loss = neoantigen burden | Identify HRD-high tumor cells; link BRCA expression to HRD genotype per cell |
| RAS / MAPK / VEGF | KRAS, NRAS, BRAF, MAP2K1, NF1, FGFR2, MET, EGFR, ERBB2, VEGFA, VEGFC, KDR, NRP1 (13) | RAS/MAPK activation; RTK amplification; angiogenesis | KRAS mut. in ~30% low-grade serous OC (LGSC); BRAF V600E = trametinib target (LGSC); FGFR2 amp. = erdafitinib; bevacizumab = anti-VEGF in OC (ICON7/GOG-0218) | Distinguish LGSC (KRAS-driven) from HGSOC (HRD-driven) tumor cells |
| TP53 / RB / Apoptosis | TP53, RB1, CCNE1, CDK2, CDKN1A, CDKN2A, MDM2, BCL2, BCL2L1, MCL1, BAX, BCL2L11, BIRC5, CASP3, TP63 (15) + 18 accessory | p53 pathway; G1/S checkpoint; apoptosis | TP53 mut. in >95% HGSOC; CCNE1 amp. in ~20% = CDK2 inhibitor target; RB1 loss in aggressive OC; BCL-2/MCL-1 = drug resistance; CDK2 inhibitor + olaparib combination trials | Identify TP53-null tumor cells; detect CCNE1-amp CDK2-driven subclones |
| 2 · Immune Microenvironment · 37 genes | ||||
| TIL / Checkpoint / TLS | CD3E, CD8A, CD4, GZMB, PRF1, IFNG, TBX21, TOX, PDCD1, LAG3, HAVCR2, TIGIT, CD274, CTLA4, TCF7, FOXP3, IL2RA, ENTPD1, CXCL13, B2M, HLA-A, MS4A1, CD19, CD79A (24) | CTL response; exhaustion; checkpoint; TLS B cells | CD8+ TIL density = favorable prognosis (Zhang 2003 NEJM); PD-L1 = pembrolizumab in MMR-d OC; TLS = IO response; Treg:CTL ratio = immunosuppression; TIM-3+LAG-3 combination targets | Resolve TIL composition; identify TLS clusters; distinguish responder from non-responder immune states |
| Myeloid / NK / TME | CD68, CD163, TREM2, SPP1, CXCL9, CXCL10, ARG1, IDO1, IL10, CXCL12, CCL2, CSF1R, VEGFA, NCAM1, NKG7, KLRD1, LILRA4, CLEC9A, C1QA (19) + 18 accessory | TAM; NK; pDC; immunosuppression | TREM2+ TAMs = IO resistance; SPP1+ = poor prognosis; IDO1 = tryptophan depletion in OC TME; NK dysfunction in ascites; pDC = type I IFN source in OC peritoneum | Classify TAM subtypes; identify NK exhaustion in ascitic fluid |
| 3 · Ovarian Tumor Cell States · 41 genes | ||||
| HGSOC / LGSC / Clear Cell | PAX8, WT1, MUC16 (CA-125), MSLN (mesothelin), FOLR1 (folate receptor), MUC1, KRT7, KRT18, CDH1, CDH2, VIM, SNAI1, ZEB1, FOXO3, HOXA10, ALDH1A1, SOX2 (17) + 24 accessory | Müllerian epithelial identity; histotype; metastatic niche | PAX8/WT1 = Müllerian lineage markers; CA-125/MUC16 = monitoring biomarker; MSLN = amatuximab target; FOLR1 = mirvetuximab soravtansine (FORWARD I) target; clear cell = PIK3CA-driven | Identify FOLR1-expressing tumor cells; resolve serous vs clear cell vs endometrioid lineage per cell |
| 4 · Peritoneal Metastasis / Ascites · 39 genes | ||||
| Invasion / Ascites Biology | CDH1, CDH2, VIM, FN1, SNAI1, ZEB1, MMP2, MMP9, MMP14, PLAUR, ITGB1, ITGA5, ITGB3, ITGAV, S100A4, LAMC2, SPARC, TGFbeta1, CTGF, VEGFA, ANGPT2 (21) + 18 accessory | EMT; ECM adhesion; peritoneal implantation; ascites production | Ovarian cancer metastasizes via peritoneal dissemination; EMT = intraperitoneal spread; VEGFA = ascites production; PLAUR = peritoneal implantation | Identify EMT-state tumor cells in ascites; link invasion program to peritoneal metastasis |
| 5 · PARP Inhibitor / Platinum Resistance · 36 genes | ||||
| PARPi / Platinum Resistance | BRCA1, BRCA2, RAD51, RIF1, PTIP (PAXBP1), SHLD1, SHLD2, DYNLL1, MAD2L2, PARP1, TP53, CCNE1, MDR1 (ABCB1), ABCG2, ABCC2, MRP2, GSTP1, BCL2, MCL1 (19) + 17 accessory | HR restoration; PARPi reversion resistance; platinum efflux | BRCA reversion mutations = 30–40% PARPi resistance; RAD51 restoration = HR competence; CCNE1 amp. = platinum/PARPi cross-resistance; ABCB1 = cisplatin efflux; MCL-1 = navitoclax target | Identify HR-restored tumor cells; detect CCNE1-amp PARPi-refractory subclones |
| 6 · Stromal / Angiogenesis · 32 genes | ||||
| CAF / Vasculature / Omentum | ACTA2, FAP, PDGFRA, PDGFRB, POSTN, CXCL12, VEGFA, KDR, ANGPT1, ANGPT2, PECAM1, COL1A1, MMP2, FN1, SPARC, THY1 (16) + 16 accessory | CAF subtypes; tumor vasculature; omentum metastasis niche | Omental CAFs = peritoneal metastasis niche; bevacizumab = VEGFA inhibition; CXCL12 = T cell exclusion; desmoplastic peritoneum blocks drug delivery | Classify CAF subtypes; map omental metastasis niche |
| 7 · Proliferation / DNA Repair · 26 genes | ||||
| Proliferation / DDR | MKI67, TOP2A, AURKA, CCNB1, E2F1, MCM2, FOXM1, CCNE1, CDK2, TYMS, PARP1, ERCC1 (12) + 14 accessory | Proliferative index; replication; platinum repair | Ki-67 = prognosis; CCNE1 amp. = CDK2 inhibitor; ERCC1 = platinum sensitivity; TYMS = chemotherapy resistance; AURKA amp. in OC | Score proliferating vs quiescent tumor cells; link cell cycle state to platinum sensitivity |
Total: 221 genesCat 1: 65 · Cat 2: 61 · Cat 3: 41 · Cat 4: 39 · Cat 5: 36 · Cat 6: 32 · Cat 7: 26
ⓘ Select genes appear in more than one functional category reflecting their multi-role biology. The total above counts unique genes; per-category counts include all category-relevant entries.