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Quantifying ADC bystander payload penetration with cellular resolution using pharmacodynamic mapping

Neoplasia(2020)10.1016/j.neo.2020.12.001Source: DataRank Database

Quantifying ADC bystander payload penetration with cellular resolution using pharmacodynamic mapping is a research paper published in Neoplasia (2020). On theSindex it has a DataRank of 0. It has been cited 53 times.

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Open Access53 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: goldTopics (27)IDs (PubMed)SDGs (1)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (10)

Cornelius Cilliers ORCID,Michael D. Smith,Michelle L. Ganno ORCID,Katharine C. Lai ORCID,Thomas A. Keating

Live enrichment

PubMed:33385970

National Institutes of Health

Grant: 2R35GM128819-06

Designing Antibody Drug Conjugates for Durable and Complete Therapeutic Responses

National Institutes of Health

Grant: 3P30CA046592-31S7

Cancer Center Support Grant 2018-2023

goldLicense: CC BY

https://doi.org/10.1016/j.neo.2020.12.001

https://pubmed.ncbi.nlm.nih.gov/33385970

http://dx.doi.org/10.1016/j.neo.2020.12.001

https://doaj.org/article/a1d49a829b1446a5941d3e371fc652ef

https://dx.doi.org/10.1016/j.neo.2020.12.001

Fields of Study

0301 basic medicine03 medical and health sciences0303 health sciences

Keywords

Original articleImmunoconjugatesPharmacodynamic markerFluorescent Antibody TechniqueMice, TransgenicMiceAntineoplastic Agents, ImmunologicalCell Line, TumorTumor MicroenvironmentAnimalsHumansRC254-282Primary human tumor xenograftTumor-associated macrophagesNeoplasms. Tumors. Oncology. Including cancer and carcinogensADC bystander effectBystander EffectXenograft Model Antitumor AssaysImmunoglobulin Fc FragmentsDisease Models, AnimalTumor spheroidsFemaleDrug MonitoringBiomarkers

Sustainable Development Goals

SDG 3: 3. Good health