Abraxane
E932801
anticancer drug
chemotherapy agent
nanoparticle albumin-bound paclitaxel formulation
pharmaceutical drug
Abraxane is a nanoparticle albumin-bound formulation of the chemotherapy drug paclitaxel used to treat various cancers, including breast, lung, and pancreatic cancer.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Abraxane canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11553563 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abraxane Context triple: [Patrick Soon-Shiong, developerOf, Abraxane]
-
A.
Alimta
Alimta is a chemotherapy drug (pemetrexed) primarily used to treat malignant pleural mesothelioma and non-small cell lung cancer.
-
B.
Taxotere
Taxotere is a chemotherapy medication containing docetaxel, commonly used to treat various cancers such as breast, lung, prostate, and gastric cancers.
-
C.
paclitaxel
Paclitaxel is a chemotherapy drug that stabilizes microtubules to inhibit cell division and is widely used to treat various cancers, including breast, ovarian, and lung cancers.
-
D.
Avastin
Avastin is a widely used cancer drug (bevacizumab) that inhibits angiogenesis by targeting vascular endothelial growth factor (VEGF).
-
E.
Ibrance
Ibrance is a targeted oral cancer medication (palbociclib) used primarily to treat certain types of hormone receptor–positive, HER2-negative advanced or metastatic breast cancer.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abraxane Target entity description: Abraxane is a nanoparticle albumin-bound formulation of the chemotherapy drug paclitaxel used to treat various cancers, including breast, lung, and pancreatic cancer.
-
A.
Alimta
Alimta is a chemotherapy drug (pemetrexed) primarily used to treat malignant pleural mesothelioma and non-small cell lung cancer.
-
B.
Taxotere
Taxotere is a chemotherapy medication containing docetaxel, commonly used to treat various cancers such as breast, lung, prostate, and gastric cancers.
-
C.
paclitaxel
Paclitaxel is a chemotherapy drug that stabilizes microtubules to inhibit cell division and is widely used to treat various cancers, including breast, ovarian, and lung cancers.
-
D.
Avastin
Avastin is a widely used cancer drug (bevacizumab) that inhibits angiogenesis by targeting vascular endothelial growth factor (VEGF).
-
E.
Ibrance
Ibrance is a targeted oral cancer medication (palbociclib) used primarily to treat certain types of hormone receptor–positive, HER2-negative advanced or metastatic breast cancer.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
anticancer drug
ⓘ
chemotherapy agent ⓘ nanoparticle albumin-bound paclitaxel formulation ⓘ pharmaceutical drug ⓘ |
| approvedBy | U.S. Food and Drug Administration NERFINISHED ⓘ |
| containsExcipient | human serum albumin ⓘ |
| developedBy | Abraxis BioScience NERFINISHED ⓘ |
| doesNotContain | Cremophor EL NERFINISHED ⓘ |
| hasActiveIngredient | paclitaxel ⓘ |
| hasAdministrationSchedule | intermittent cycles ⓘ |
| hasATCCode | L01CD01 ⓘ |
| hasBrandName | Abraxane NERFINISHED ⓘ |
| hasCommonAdverseEffect |
alopecia
ⓘ
anemia ⓘ fatigue ⓘ nausea ⓘ neutropenia ⓘ peripheral neuropathy ⓘ |
| hasContraindication |
history of severe hypersensitivity to paclitaxel
ⓘ
severe neutropenia ⓘ |
| hasDosageForm | lyophilized powder for suspension for infusion ⓘ |
| hasDrugClass |
mitotic inhibitor
ⓘ
taxane ⓘ |
| hasFirstFDAApprovalYear | 2005 ⓘ |
| hasFormulation | albumin-bound nanoparticles ⓘ |
| hasGenericName | paclitaxel protein-bound particles for injectable suspension ⓘ |
| hasIndication |
locally advanced pancreatic cancer
ⓘ
metastatic breast cancer ⓘ metastatic pancreatic cancer ⓘ non-small cell lung cancer ⓘ |
| hasMechanismOfAction |
inhibits microtubule depolymerization
ⓘ
inhibits mitosis in cancer cells ⓘ stabilizes microtubules ⓘ |
| hasPregnancyCategory | embryo-fetal toxicity risk ⓘ |
| hasRegulatoryStatus | prescription-only medicine ⓘ |
| hasRouteOfAdministration | intravenous infusion ⓘ |
| hasSeriousAdverseEffect |
pneumonitis
ⓘ
sepsis ⓘ severe hypersensitivity reaction ⓘ severe neutropenia ⓘ |
| hasTargetProcess | cell division ⓘ |
| indicatedPopulation | adult patients ⓘ |
| isCytotoxic | true ⓘ |
| marketedBy | Bristol Myers Squibb NERFINISHED ⓘ |
| requiresMonitoring |
complete blood counts
ⓘ
liver function tests ⓘ |
| requiresPremedication | not routinely required with steroids and antihistamines ⓘ |
| usedInCombinationWith |
carboplatin
NERFINISHED
ⓘ
gemcitabine ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Abraxane Description of subject: Abraxane is a nanoparticle albumin-bound formulation of the chemotherapy drug paclitaxel used to treat various cancers, including breast, lung, and pancreatic cancer.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.