Market Intelligence Signals
Thread 5 — Oncology US market · disruption & risk signals with feature explainability
191 drug × indication signals
66 high disruption signals
Updated 2026-07-19
What this page is — and is not
This week's analysis
Model Review Agent · 2026-07-19

This week's prediction models run with only 5 of 9 features populated (55.6% completeness) — NIH funding momentum, publication velocity, CMS spend trajectory, and patent cliff proximity are all null. The approval model (CV AUC 0.86) is technically informative but practically a single-feature classifier: regulatory momentum (FDA approval count) drives 96% of predictions, with shortage risk as a minor secondary signal. The disruption model similarly reduces to approval-count × shortage-risk. Three edges of interest align well with model output (Bortezomib/MM, Nivolumab/NSCLC), but three others (Keytruda/NSCLC, Opdivo/Melanoma, Venclexta/AML) show near-zero scores because the feature pipeline failed to populate approval counts for brand-name drug node IDs — a data integration bug to fix before next cycle.

approval model informativeTrue
approval cv auc0.8635
approval label balance okTrue
approval dominant featureregulatory_momentum_approval_count
approval quality noteCV AUC of 0.86 is misleading — regulatory_momentum_approval_count is the top driver for 184 of 191 predictions (96.3%), making this effectively a single-feature threshold model dressed up with negligible contributions from shortage_risk_score and pipeline_density.
disruption model informativeTrue
disruption quality noteOnly two features have non-zero permutation importance (regulatory_momentum=0.276, shortage_risk=0.221). Pipeline density, policy risk, and trial anomaly contribute nothing. The disruption score is essentially an approval-count × shortage-count product — useful but narrow.
revenue model noteCMS Part D data has a 2-year publication lag. Revenue trajectory index is directional only and should not be used for budgeting or sizing. The CMS spend feature is null for all 191 rows this cycle, so the revenue model is driven entirely by regulatory_momentum and pipeline_density.
AKEEGA Prostate Cancer approval probability 100.0% Perfect approval score driven by regulatory_momentum=10 (abiraterone has many formulation/indication approvals). Pipeline density is only 2 trials — model cannot distinguish between drugs with many past approvals and genuine forward-looking expansion potential.
LENALIDOMIDE Multiple Myeloma approval probability 100.0% Score of 1.0 with 10 prior approvals and 17 active trials. Plausible given lenalidomide's established MM dominance, but the model offers no incremental signal beyond 'drug has many approvals'.
BORTEZOMIB Multiple Myeloma disruption risk score 99.8% Highest disruption score — driven by 9 approvals + shortage_risk=2 (Class I/II recalls). Aligns with EOI-002 which flagged biosimilar pressure. This is the model's strongest signal this week.
OPDIVO QVANTIG Non-Small Cell Lung Cancer disruption risk score 99.8% High disruption from 5 approvals + shortage_risk=2. Aligns with EOI-003 which flagged BMS recall + trial sponsorship convergence.
AVASTIN Renal Cell Carcinoma approval probability 3.9% Very low approval probability (0.039) — but EOI-001 flagged this pair for pipeline repositioning signal (40+ new academic RCC publications). The model misses this because publication_velocity_cagr is null. This is a false negative caused by missing feature data.
Feature improvement proposals (3)
nih funding momentum usd per yr low

Currently null for all 191 rows. Tier 2 commit log shows 6 proposals were committed this week to fill this via NIH Reporter v2, but the feature matrix was generated before the commits landed. Re-run feature engineering after Tier 2 commits are applied to the KG to populate this feature. Source: NIH Reporter v2 API (https://api.reporter.nih.gov/).

publication velocity cagr low

Currently null for all 191 rows. Tier 2 commit log shows 6 proposals committed this week. Same timing issue as NIH funding. Re-running the feature pipeline post-commit should populate this. Source: PubMed E-utilities (https://www.ncbi.nlm.nih.gov/books/NBK25501/).

patent cliff proximity yrs medium

Currently null for all 191 rows and no Tier 2 proposal was committed this week. FDA Orange Book data files (https://www.fda.gov/drugs/drug-approvals-and-databases/orange-book-data-files) provide patent expiry dates. Adding this would give the approval model a second meaningful signal beyond regulatory_momentum, since drugs near patent expiry face different competitive dynamics. Requires a one-time download and parsing of the Orange Book CSV.

191
Drug × indication signals
66
High disruption (≥60%)
191
Training rows (in-sample)
Yes
Disruption RF trained
Model details & data freshness
Data freshness by vertical
VerticalSourceCadence
Academic research PubMed · NIH Reporter weekly
Drug discovery ChEMBL · Open Targets weekly
Trials Thread 2 cross-ref daily
FDA regulatory openFDA Drugs@FDA weekly
Sales (CMS) CMS Part D 2yr lag — amber always
Manufacturing openFDA enforcement weekly
Distribution HRSA 340B weekly
Government policy Fed Register · Congress weekly
Model metadata
Approval rank (relative — not calibrated)
LogisticRegression(C=1.0, L2)
Label = 1 if drug has any approval post-2018, 0 otherwise. In-sample split — not an external held-out dataset. CV AUC is indicative only.
Disruption risk
RandomForestClassifier(n_estimators=50, max_depth=4)
Labels constructed from observable KG signals (shortage + competitive entry). No validated ground truth.
Revenue trajectory index
Ridge(alpha=1.0)
CMS Part D data has 2yr lag. Treat output as directional index only.
Market entry timing
Empirical approval year distribution per indication
Distribution of approval years, not trial duration. Trial start dates not yet in KG.
Filter:
Signal table — sorted by disruption risk

Click any row to expand feature contributions. Hover evidence column header for tooltip. — in raw features = null (score reliability reduced).

Drug Indication Disruption risk Appr. rank (rel.) ⓘ Revenue index Approval yr (median) Data completeness ⓘ
AKEEGA
ABIRATERONE ACETATE
Prostate Cancer 99.1% 100.0%
100.0–100.0%
9.96 2022 (n=33) 56%
AKEEGA
ABIRATERONE ACETATE
Ovarian Cancer 92.6% 100.0%
100.0–100.0%
9.96 2022 (n=37) 56%
LENALIDOMIDE
Chronic Lymphocytic Leukemia 97.3% 100.0%
100.0–100.0%
9.96 2023 (n=21) 56%
LENALIDOMIDE
Diffuse Large B-Cell Lymphoma 95.3% 100.0%
100.0–100.0%
9.96 2023 (n=15) 56%
LENALIDOMIDE
Multiple Myeloma 96.5% 100.0%
100.0–100.0%
9.96 2022 (n=28) 56%
BORTEZOMIB
Multiple Myeloma 99.8% 100.0%
100.0–100.0%
8.96 2022 (n=28) 56%
DOCETAXEL
Prostate Cancer 99.1% 100.0%
100.0–100.0%
9.96 2022 (n=33) 56%
DOCETAXEL
Gastric Cancer 94.1% 100.0%
100.0–100.0%
9.96 2022 (n=62) 56%
DOCETAXEL
Non-Small Cell Lung Cancer 91.7% 100.0%
100.0–100.0%
9.96 2020 (n=46) 56%
DOCETAXEL
Breast Cancer 92.9% 100.0%
100.0–100.0%
9.96 2023 (n=64) 56%
DOCETAXEL
Head and Neck Cancer 96.3% 100.0%
100.0–100.0%
9.96 2022 (n=25) 56%
GEMCITABINE HYDROCHLORIDE
Pancreatic Cancer 99.1% 100.0%
100.0–100.0%
9.96 2019 (n=10) 56%
GEMCITABINE HYDROCHLORIDE
Bladder Cancer 96.5% 100.0%
100.0–100.0%
9.96 2019 (n=15) 56%
GEMCITABINE HYDROCHLORIDE
Non-Small Cell Lung Cancer 91.7% 100.0%
100.0–100.0%
9.96 2020 (n=46) 56%
GEMCITABINE HYDROCHLORIDE
Ovarian Cancer 92.6% 100.0%
100.0–100.0%
9.96 2022 (n=37) 56%
CAPECITABINE
Breast Cancer 92.9% 100.0%
100.0–100.0%
9.96 2023 (n=64) 56%
CAPECITABINE
Gastric Cancer 94.1% 100.0%
100.0–100.0%
9.96 2022 (n=62) 56%
CAPECITABINE
Colorectal Cancer 93.2% 100.0%
100.0–100.0%
9.96 2022 (n=44) 56%
TOLAK
FLUOROURACIL
Breast Cancer 92.9% 100.0%
100.0–100.0%
6.97 2023 (n=64) 56%
TOLAK
FLUOROURACIL
Head and Neck Cancer 96.3% 100.0%
100.0–100.0%
6.98 2022 (n=25) 56%
TOLAK
FLUOROURACIL
Gastric Cancer 94.1% 100.0%
100.0–100.0%
6.98 2022 (n=62) 56%
TOLAK
FLUOROURACIL
Colorectal Cancer 93.2% 100.0%
100.0–100.0%
6.98 2022 (n=44) 56%
CABAZITAXEL
Prostate Cancer 99.1% 100.0%
100.0–100.0%
6.98 2022 (n=33) 56%
PACLITAXEL
Breast Cancer 92.9% 100.0%
100.0–100.0%
5.98 2023 (n=64) 56%
PACLITAXEL
Non-Small Cell Lung Cancer 91.7% 100.0%
99.9–100.0%
5.98 2020 (n=46) 56%
PACLITAXEL
Ovarian Cancer 92.6% 100.0%
99.9–100.0%
5.98 2022 (n=37) 56%
PACLITAXEL
Gastric Cancer 94.1% 100.0%
99.9–100.0%
5.98 2022 (n=62) 56%
IRINOTECAN HYDROCHLORIDE
Colorectal Cancer 93.2% 100.0%
99.9–100.0%
5.98 2022 (n=44) 56%
ENZALUTAMIDE
Prostate Cancer 99.1% 99.9%
99.9–100.0%
5.98 2022 (n=33) 56%
OXALIPLATIN
Colorectal Cancer 93.2% 99.8%
99.8–99.9%
4.99 2022 (n=44) 56%
OXALIPLATIN
Gastric Cancer 94.1% 99.8%
99.8–99.9%
4.99 2022 (n=62) 56%
OPDIVO QVANTIG
NIVOLUMAB
Non-Small Cell Lung Cancer 99.8% 99.8%
99.7–99.8%
4.99 2020 (n=46) 56%
OPDIVO QVANTIG
NIVOLUMAB
Gastric Cancer 99.8% 99.8%
99.7–99.8%
4.99 2022 (n=62) 56%
OPDIVO QVANTIG
NIVOLUMAB
Colorectal Cancer 99.8% 99.8%
99.7–99.8%
4.99 2022 (n=44) 56%
CARFILZOMIB
Multiple Myeloma 99.8% 99.8%
99.7–99.8%
4.99 2022 (n=28) 56%
OPDIVO QVANTIG
NIVOLUMAB
Hepatocellular Carcinoma 99.8% 99.7%
99.7–99.8%
4.99 2022 (n=14) 56%
OPDIVO QVANTIG
NIVOLUMAB
Head and Neck Cancer 98.9% 99.7%
99.7–99.8%
4.99 2022 (n=25) 56%
OPDIVO QVANTIG
NIVOLUMAB
Melanoma 97.3% 99.7%
99.7–99.8%
4.99 2024 (n=8) 56%
OPDIVO QVANTIG
NIVOLUMAB
Renal Cell Carcinoma 99.0% 99.7%
99.6–99.8%
4.99 2022 (n=13) 56%
IMBRUVICA
IBRUTINIB
Chronic Lymphocytic Leukemia 93.3% 99.2%
99.0–99.4%
3.99 2023 (n=21) 56%
PALBOCICLIB
Breast Cancer 64.9% 98.4%
98.0–98.8%
2.99 2023 (n=64) 56%
VERZENIO
ABEMACICLIB
Breast Cancer 22.2% 94.5%
93.2–95.8%
2.00 2023 (n=64) 56%
LYNPARZA
OLAPARIB
Breast Cancer 22.2% 94.5%
93.0–95.7%
2.00 2023 (n=64) 56%
KEYTRUDA
PEMBROLIZUMAB
Breast Cancer 87.1% 93.5%
91.7–94.8%
2.00 2023 (n=64) 56%
VENCLEXTA
VENETOCLAX
Acute Myeloid Leukemia 19.6% 91.7%
89.3–93.3%
2.00 2026 (n=2) 56%
LYNPARZA
OLAPARIB
Ovarian Cancer 14.9% 91.4%
89.1–92.9%
2.00 2022 (n=37) 56%
ZEJULA
NIRAPARIB TOSYLATE
Ovarian Cancer 14.9% 91.4%
89.0–93.0%
2.00 2022 (n=37) 56%
KEYTRUDA
PEMBROLIZUMAB
Non-Small Cell Lung Cancer 99.4% 90.9%
88.7–92.9%
2.00 2020 (n=46) 56%
TECENTRIQ
ATEZOLIZUMAB
Non-Small Cell Lung Cancer 99.4% 90.9%
88.3–92.8%
2.00 2020 (n=46) 56%
VENCLEXTA
VENETOCLAX
Chronic Lymphocytic Leukemia 15.6% 90.8%
88.2–92.7%
2.00 2023 (n=21) 56%
KEYTRUDA
PEMBROLIZUMAB
Colorectal Cancer 99.4% 90.6%
88.4–92.9%
2.00 2022 (n=44) 56%
KEYTRUDA
PEMBROLIZUMAB
Gastric Cancer 99.4% 90.5%
88.3–92.7%
2.00 2022 (n=62) 56%
KEYTRUDA
PEMBROLIZUMAB
Bladder Cancer 99.4% 90.5%
87.7–92.4%
2.00 2019 (n=15) 56%
TECENTRIQ
ATEZOLIZUMAB
Bladder Cancer 99.4% 90.5%
88.5–92.4%
2.00 2019 (n=15) 56%
KEYTRUDA
PEMBROLIZUMAB
Hepatocellular Carcinoma 99.4% 90.4%
87.9–92.5%
2.00 2022 (n=14) 56%
KEYTRUDA
PEMBROLIZUMAB
Melanoma 95.9% 90.2%
87.7–92.2%
2.00 2024 (n=8) 56%
KEYTRUDA
PEMBROLIZUMAB
Head and Neck Cancer 97.2% 90.1%
87.9–92.1%
2.00 2022 (n=25) 56%
RITUXAN
RITUXIMAB
Diffuse Large B-Cell Lymphoma 94.2% 89.4%
86.6–91.7%
2.00 2023 (n=15) 56%
RITUXAN
RITUXIMAB
Chronic Lymphocytic Leukemia 94.2% 89.2%
86.7–91.3%
2.00 2023 (n=21) 56%
KADCYLA
ADO-TRASTUZUMAB EMTANSINE
Breast Cancer 3.8% 82.3%
78.1–86.0%
1.00 2023 (n=64) 56%
KANJINTI
TRASTUZUMAB-ANNS
Breast Cancer 3.8% 82.3%
78.8–85.6%
1.00 2023 (n=64) 56%
OGIVRI
TRASTUZUMAB-DKST
Breast Cancer 3.8% 82.3%
78.0–85.1%
1.00 2023 (n=64) 56%
TRAZIMERA
TRASTUZUMAB-QYYP
Breast Cancer 3.8% 82.3%
78.2–85.8%
1.00 2023 (n=64) 56%
HERCESSI
TRASTUZUMAB-STRF
Breast Cancer 3.8% 82.3%
78.5–85.8%
1.00 2023 (n=64) 56%
HERZUMA
TRASTUZUMAB-PKRB
Breast Cancer 3.8% 82.3%
78.6–85.7%
1.00 2023 (n=64) 56%
ONTRUZANT
TRASTUZUMAB-DTTB
Breast Cancer 3.8% 82.3%
78.5–85.6%
1.00 2023 (n=64) 56%
HERCEPTIN HYLECTA
TRASTUZUMAB AND HYALURONIDASE-OYSK
Breast Cancer 3.8% 82.3%
78.1–85.6%
1.00 2023 (n=64) 56%
ENHERTU
FAM-TRASTUZUMAB DERUXTECAN-NXKI
Breast Cancer 3.8% 82.3%
78.4–85.6%
1.00 2023 (n=64) 56%
POHERDY
PERTUZUMAB-DPZB
Breast Cancer 3.8% 82.3%
77.6–86.0%
1.00 2023 (n=64) 56%
PHESGO
PERTUZUMAB, TRASTUZUMAB, AND HYALURONIDASE-ZZXF
Breast Cancer 3.8% 82.3%
78.9–85.7%
1.00 2023 (n=64) 56%
VEGZELMA
BEVACIZUMAB-ADCD
Breast Cancer 3.8% 82.3%
78.4–85.6%
1.00 2023 (n=64) 56%
MVASI
BEVACIZUMAB-AWWB
Breast Cancer 3.8% 82.3%
78.0–85.8%
1.00 2023 (n=64) 56%
ZIRABEV
BEVACIZUMAB-BVZR
Breast Cancer 3.8% 82.3%
78.2–85.7%
1.00 2023 (n=64) 56%
JOBEVNE
BEVACIZUMAB-NWGD
Breast Cancer 3.8% 82.3%
78.6–85.7%
1.00 2023 (n=64) 56%
AVZIVI
BEVACIZUMAB-TNJN
Breast Cancer 3.8% 82.3%
78.8–85.8%
1.00 2023 (n=64) 56%
ALYMSYS
BEVACIZUMAB-MALY
Breast Cancer 3.8% 82.3%
79.0–85.5%
1.00 2023 (n=64) 56%
KISQALI FEMARA CO-PACK (COPACKAGED)
LETROZOLE
Breast Cancer 3.8% 82.3%
78.3–85.3%
1.00 2023 (n=64) 56%
KISQALI
RIBOCICLIB SUCCINATE
Breast Cancer 3.8% 82.3%
78.3–86.1%
1.00 2023 (n=64) 56%
PERJETA
PERTUZUMAB
Breast Cancer 80.2% 79.6%
75.7–83.3%
1.00 2023 (n=64) 56%
TECENTRIQ HYBREZA
ATEZOLIZUMAB AND HYALURONIDASE-TQJS
Non-Small Cell Lung Cancer 5.6% 76.4%
71.0–80.9%
1.01 2020 (n=46) 56%
VEGZELMA
BEVACIZUMAB-ADCD
Non-Small Cell Lung Cancer 5.6% 76.4%
70.8–80.6%
1.01 2020 (n=46) 56%
MVASI
BEVACIZUMAB-AWWB
Non-Small Cell Lung Cancer 5.6% 76.4%
71.6–80.4%
1.01 2020 (n=46) 56%
ZIRABEV
BEVACIZUMAB-BVZR
Non-Small Cell Lung Cancer 5.6% 76.4%
72.1–80.8%
1.01 2020 (n=46) 56%
JOBEVNE
BEVACIZUMAB-NWGD
Non-Small Cell Lung Cancer 5.6% 76.4%
70.6–80.2%
1.01 2020 (n=46) 56%
AVZIVI
BEVACIZUMAB-TNJN
Non-Small Cell Lung Cancer 5.6% 76.4%
71.8–80.5%
1.01 2020 (n=46) 56%
ALYMSYS
BEVACIZUMAB-MALY
Non-Small Cell Lung Cancer 5.6% 76.4%
71.6–80.8%
1.01 2020 (n=46) 56%
TAGRISSO
OSIMERTINIB MESYLATE
Non-Small Cell Lung Cancer 5.6% 76.4%
72.2–81.1%
1.01 2020 (n=46) 56%
ALECENSA
ALECTINIB HYDROCHLORIDE
Non-Small Cell Lung Cancer 5.6% 76.4%
72.2–80.2%
1.01 2020 (n=46) 56%
YERVOY
IPILIMUMAB
Colorectal Cancer 6.9% 75.9%
71.1–80.2%
1.01 2022 (n=44) 56%
VEGZELMA
BEVACIZUMAB-ADCD
Colorectal Cancer 6.9% 75.9%
70.9–80.5%
1.01 2022 (n=44) 56%
MVASI
BEVACIZUMAB-AWWB
Colorectal Cancer 6.9% 75.9%
70.5–79.7%
1.01 2022 (n=44) 56%
ZIRABEV
BEVACIZUMAB-BVZR
Colorectal Cancer 6.9% 75.9%
71.9–80.3%
1.01 2022 (n=44) 56%
JOBEVNE
BEVACIZUMAB-NWGD
Colorectal Cancer 6.9% 75.9%
70.9–80.3%
1.01 2022 (n=44) 56%
AVZIVI
BEVACIZUMAB-TNJN
Colorectal Cancer 6.9% 75.9%
70.8–80.3%
1.01 2022 (n=44) 56%
ALYMSYS
BEVACIZUMAB-MALY
Colorectal Cancer 6.9% 75.9%
70.5–79.9%
1.01 2022 (n=44) 56%
KADCYLA
ADO-TRASTUZUMAB EMTANSINE
Gastric Cancer 3.9% 75.7%
70.6–80.3%
1.01 2022 (n=62) 56%
KANJINTI
TRASTUZUMAB-ANNS
Gastric Cancer 3.9% 75.7%
70.7–80.2%
1.01 2022 (n=62) 56%
OGIVRI
TRASTUZUMAB-DKST
Gastric Cancer 3.9% 75.7%
70.0–80.3%
1.01 2022 (n=62) 56%
TRAZIMERA
TRASTUZUMAB-QYYP
Gastric Cancer 3.9% 75.7%
70.6–79.7%
1.01 2022 (n=62) 56%
HERCESSI
TRASTUZUMAB-STRF
Gastric Cancer 3.9% 75.7%
70.2–81.0%
1.01 2022 (n=62) 56%
HERZUMA
TRASTUZUMAB-PKRB
Gastric Cancer 3.9% 75.7%
70.6–80.4%
1.01 2022 (n=62) 56%
ONTRUZANT
TRASTUZUMAB-DTTB
Gastric Cancer 3.9% 75.7%
70.5–80.3%
1.01 2022 (n=62) 56%
HERCEPTIN HYLECTA
TRASTUZUMAB AND HYALURONIDASE-OYSK
Gastric Cancer 3.9% 75.7%
70.4–79.5%
1.01 2022 (n=62) 56%
ENHERTU
FAM-TRASTUZUMAB DERUXTECAN-NXKI
Gastric Cancer 3.9% 75.7%
70.6–80.3%
1.01 2022 (n=62) 56%
VEGZELMA
BEVACIZUMAB-ADCD
Gastric Cancer 3.9% 75.7%
70.9–80.8%
1.01 2022 (n=62) 56%
MVASI
BEVACIZUMAB-AWWB
Gastric Cancer 3.9% 75.7%
70.6–80.0%
1.01 2022 (n=62) 56%
ZIRABEV
BEVACIZUMAB-BVZR
Gastric Cancer 3.9% 75.7%
71.0–80.5%
1.01 2022 (n=62) 56%
JOBEVNE
BEVACIZUMAB-NWGD
Gastric Cancer 3.9% 75.7%
70.8–79.7%
1.01 2022 (n=62) 56%
AVZIVI
BEVACIZUMAB-TNJN
Gastric Cancer 3.9% 75.7%
70.8–80.5%
1.01 2022 (n=62) 56%
ALYMSYS
BEVACIZUMAB-MALY
Gastric Cancer 3.9% 75.7%
70.8–79.7%
1.01 2022 (n=62) 56%
TECENTRIQ HYBREZA
ATEZOLIZUMAB AND HYALURONIDASE-TQJS
Bladder Cancer 1.5% 75.5%
70.4–79.4%
1.01 2019 (n=15) 56%
DARZALEX
DARATUMUMAB
Multiple Myeloma 1.5% 75.5%
70.7–80.2%
1.01 2022 (n=28) 56%
DARZALEX FASPRO
DARATUMUMAB AND HYALURONIDASE-FIHJ
Multiple Myeloma 1.5% 75.5%
70.7–80.0%
1.01 2022 (n=28) 56%
NINLARO
IXAZOMIB CITRATE
Multiple Myeloma 1.5% 75.5%
70.8–80.5%
1.01 2022 (n=28) 56%
EMPLICITI
ELOTUZUMAB
Multiple Myeloma 1.5% 75.5%
70.8–80.6%
1.01 2022 (n=28) 56%
VEGZELMA
BEVACIZUMAB-ADCD
Hepatocellular Carcinoma 1.9% 75.3%
70.6–80.0%
1.01 2022 (n=14) 56%
MVASI
BEVACIZUMAB-AWWB
Hepatocellular Carcinoma 1.9% 75.3%
70.1–80.0%
1.01 2022 (n=14) 56%
ZIRABEV
BEVACIZUMAB-BVZR
Hepatocellular Carcinoma 1.9% 75.3%
70.1–80.1%
1.01 2022 (n=14) 56%
JOBEVNE
BEVACIZUMAB-NWGD
Hepatocellular Carcinoma 1.9% 75.3%
69.2–79.4%
1.01 2022 (n=14) 56%
AVZIVI
BEVACIZUMAB-TNJN
Hepatocellular Carcinoma 1.9% 75.3%
70.3–79.1%
1.01 2022 (n=14) 56%
ALYMSYS
BEVACIZUMAB-MALY
Hepatocellular Carcinoma 1.9% 75.3%
69.6–79.6%
1.01 2022 (n=14) 56%
YERVOY
IPILIMUMAB
Melanoma 1.9% 75.0%
69.4–79.2%
1.01 2024 (n=8) 56%
VEGZELMA
BEVACIZUMAB-ADCD
Ovarian Cancer 1.8% 74.2%
69.0–79.2%
1.01 2022 (n=37) 56%
MVASI
BEVACIZUMAB-AWWB
Ovarian Cancer 1.8% 74.2%
69.2–79.4%
1.01 2022 (n=37) 56%
ZIRABEV
BEVACIZUMAB-BVZR
Ovarian Cancer 1.8% 74.2%
69.5–78.7%
1.01 2022 (n=37) 56%
JOBEVNE
BEVACIZUMAB-NWGD
Ovarian Cancer 1.8% 74.2%
69.1–78.9%
1.01 2022 (n=37) 56%
AVZIVI
BEVACIZUMAB-TNJN
Ovarian Cancer 1.8% 74.2%
68.7–78.5%
1.01 2022 (n=37) 56%
ALYMSYS
BEVACIZUMAB-MALY
Ovarian Cancer 1.8% 74.2%
68.9–79.1%
1.01 2022 (n=37) 56%
YERVOY
IPILIMUMAB
Renal Cell Carcinoma 1.5% 73.5%
68.2–78.6%
1.01 2022 (n=13) 56%
VEGZELMA
BEVACIZUMAB-ADCD
Renal Cell Carcinoma 1.5% 73.5%
68.5–77.6%
1.01 2022 (n=13) 56%
MVASI
BEVACIZUMAB-AWWB
Renal Cell Carcinoma 1.5% 73.5%
68.2–78.4%
1.01 2022 (n=13) 56%
ZIRABEV
BEVACIZUMAB-BVZR
Renal Cell Carcinoma 1.5% 73.5%
68.0–79.2%
1.01 2022 (n=13) 56%
JOBEVNE
BEVACIZUMAB-NWGD
Renal Cell Carcinoma 1.5% 73.5%
68.2–78.0%
1.01 2022 (n=13) 56%
AVZIVI
BEVACIZUMAB-TNJN
Renal Cell Carcinoma 1.5% 73.5%
67.8–78.8%
1.01 2022 (n=13) 56%
ALYMSYS
BEVACIZUMAB-MALY
Renal Cell Carcinoma 1.5% 73.5%
68.9–78.5%
1.01 2022 (n=13) 56%
HERCEPTIN
TRASTUZUMAB
Breast Cancer 84.2% 73.3%
68.4–78.3%
1.00 2023 (n=64) 56%
TRUXIMA
RITUXIMAB-ABBS
Diffuse Large B-Cell Lymphoma 0.5% 73.2%
68.3–78.1%
1.01 2023 (n=15) 56%
RUXIENCE
RITUXIMAB-PVVR
Diffuse Large B-Cell Lymphoma 0.5% 73.2%
67.7–77.8%
1.01 2023 (n=15) 56%
RIABNI
RITUXIMAB-ARRX
Diffuse Large B-Cell Lymphoma 0.5% 73.2%
67.9–77.6%
1.01 2023 (n=15) 56%
IMFINZI
DURVALUMAB
Non-Small Cell Lung Cancer 81.7% 73.1%
66.8–77.2%
1.01 2020 (n=46) 56%
TRUXIMA
RITUXIMAB-ABBS
Chronic Lymphocytic Leukemia 0.3% 72.9%
67.3–77.4%
1.01 2023 (n=21) 56%
RUXIENCE
RITUXIMAB-PVVR
Chronic Lymphocytic Leukemia 0.3% 72.9%
67.6–77.5%
1.01 2023 (n=21) 56%
RIABNI
RITUXIMAB-ARRX
Chronic Lymphocytic Leukemia 0.3% 72.9%
67.2–77.6%
1.01 2023 (n=21) 56%
ERBITUX
CETUXIMAB
Colorectal Cancer 85.5% 72.5%
66.3–76.8%
1.01 2022 (n=44) 56%
ERBITUX
CETUXIMAB
Head and Neck Cancer 89.5% 71.3%
66.2–75.8%
1.01 2022 (n=25) 56%
HERCEPTIN
TRASTUZUMAB
Gastric Cancer 87.6% 64.7%
59.5–70.5%
1.01 2022 (n=62) 56%
Ibrance
Breast Cancer 2.6% 55.9%
50.0–62.0%
0.01 2023 (n=64) 56%
Kisqali
Breast Cancer 2.6% 55.9%
49.2–62.6%
0.01 2023 (n=64) 56%
Verzenio
Breast Cancer 2.6% 55.9%
49.8–61.7%
0.01 2023 (n=64) 56%
Lynparza
Breast Cancer 2.6% 55.9%
48.1–62.3%
0.01 2023 (n=64) 56%
Trodelvy
Breast Cancer 2.6% 55.9%
50.9–62.1%
0.01 2023 (n=64) 56%
Enhertu
Breast Cancer 2.6% 55.9%
48.8–61.7%
0.01 2023 (n=64) 56%
Kadcyla
Breast Cancer 2.6% 55.9%
49.9–62.2%
0.01 2023 (n=64) 56%
Keytruda
Non-Small Cell Lung Cancer 3.4% 46.9%
41.0–52.7%
0.01 2020 (n=46) 56%
Opdivo
Non-Small Cell Lung Cancer 3.4% 46.9%
40.4–53.5%
0.01 2020 (n=46) 56%
Tecentriq
Non-Small Cell Lung Cancer 3.4% 46.9%
40.8–52.7%
0.01 2020 (n=46) 56%
Imfinzi
Non-Small Cell Lung Cancer 3.4% 46.9%
40.0–53.3%
0.01 2020 (n=46) 56%
Tagrisso
Non-Small Cell Lung Cancer 3.4% 46.9%
41.2–52.8%
0.01 2020 (n=46) 56%
Keytruda
Gastric Cancer 3.2% 45.9%
39.1–52.8%
0.01 2022 (n=62) 56%
Enhertu
Gastric Cancer 3.2% 45.9%
40.3–52.0%
0.01 2022 (n=62) 56%
Keytruda
Bladder Cancer 0.8% 45.6%
39.5–50.4%
0.01 2019 (n=15) 56%
Tecentriq
Bladder Cancer 0.8% 45.6%
39.4–51.9%
0.01 2019 (n=15) 56%
Darzalex
Multiple Myeloma 0.8% 45.6%
40.4–52.5%
0.01 2022 (n=28) 56%
Revlimid
Multiple Myeloma 0.8% 45.6%
39.7–51.4%
0.01 2022 (n=28) 56%
Pomalyst
Multiple Myeloma 0.8% 45.6%
39.4–51.1%
0.01 2022 (n=28) 56%
Velcade
Multiple Myeloma 0.8% 45.6%
39.3–51.9%
0.01 2022 (n=28) 56%
Kyprolis
Multiple Myeloma 0.8% 45.6%
40.5–51.5%
0.01 2022 (n=28) 56%
Opdivo
Hepatocellular Carcinoma 0.7% 45.4%
38.8–51.1%
0.01 2022 (n=14) 56%
Keytruda
Melanoma 0.7% 44.9%
40.0–52.0%
0.01 2024 (n=8) 56%
Opdivo
Melanoma 0.7% 44.9%
38.8–50.8%
0.01 2024 (n=8) 56%
Yervoy
Melanoma 0.7% 44.9%
38.4–50.3%
0.01 2024 (n=8) 56%
Venclexta
Acute Myeloid Leukemia 0.7% 44.9%
39.7–50.6%
0.01 2026 (n=2) 56%
Keytruda
Head and Neck Cancer 0.5% 44.7%
39.0–52.4%
0.01 2022 (n=25) 56%
Opdivo
Head and Neck Cancer 0.5% 44.7%
38.5–50.6%
0.01 2022 (n=25) 56%
Lynparza
Ovarian Cancer 0.6% 43.9%
37.5–50.0%
0.01 2022 (n=37) 56%
Zejula
Ovarian Cancer 0.6% 43.9%
37.2–50.6%
0.01 2022 (n=37) 56%
Opdivo
Renal Cell Carcinoma 0.6% 43.0%
36.7–48.4%
0.01 2022 (n=13) 56%
Calquence
Chronic Lymphocytic Leukemia 0.3% 42.2%
36.1–49.5%
0.01 2023 (n=21) 56%
Imbruvica
Chronic Lymphocytic Leukemia 0.3% 42.2%
35.4–48.9%
0.01 2023 (n=21) 56%
Venclexta
Chronic Lymphocytic Leukemia 0.3% 42.2%
35.9–48.5%
0.01 2023 (n=21) 56%
Zytiga
Prostate Cancer 0.0% 42.0%
35.2–49.1%
0.01 2022 (n=33) 56%
Xtandi
Prostate Cancer 0.0% 42.0%
36.3–47.9%
0.01 2022 (n=33) 56%
Nubeqa
Prostate Cancer 0.0% 42.0%
36.8–49.7%
0.01 2022 (n=33) 56%
Erleada
Prostate Cancer 0.0% 42.0%
35.3–48.5%
0.01 2022 (n=33) 56%
AVASTIN
BEVACIZUMAB
Breast Cancer 86.2% 6.3%
4.9–8.0%
1.00 2023 (n=64) 56%
AVASTIN
BEVACIZUMAB
Non-Small Cell Lung Cancer 81.7% 4.5%
3.3–5.6%
1.01 2020 (n=46) 56%
AVASTIN
BEVACIZUMAB
Colorectal Cancer 85.5% 4.4%
3.5–5.4%
1.01 2022 (n=44) 56%
AVASTIN
BEVACIZUMAB
Gastric Cancer 87.6% 4.3%
3.5–5.4%
1.01 2022 (n=62) 56%
AVASTIN
BEVACIZUMAB
Hepatocellular Carcinoma 85.7% 4.2%
3.3–5.3%
1.01 2022 (n=14) 56%
AVASTIN
BEVACIZUMAB
Ovarian Cancer 89.5% 4.0%
3.1–5.0%
1.01 2022 (n=37) 56%
AVASTIN
BEVACIZUMAB
Renal Cell Carcinoma 85.2% 3.9%
3.0–4.8%
1.01 2022 (n=13) 56%