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Modeling the effects of combination immunotherapy on triple-negative breast cancer in syngeneic mice from PET imaging of CD4+ and CD8+ cells

Mathematical Medicine and Biology A Journal of the IMA(2025)10.1093/imammb/dqaf009Source: DataRank Database

Modeling the effects of combination immunotherapy on triple-negative breast cancer in syngeneic mice from PET imaging of CD4+ and CD8+ cells is a research paper published in Mathematical Medicine and Biology A Journal of the IMA (2025). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)Impact (FWCI 0.00)OA: greenTopics (36)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Angelica A. Davenport ORCID,Yun Lü ORCID,Anna G. Sorace ORCID,N. G. Cogan ORCID,Dayton J Syme

Live enrichment

PubMed:40888645 PMC:PMC13095132 OpenAlex:https://openalex.org/W4413889196

NCI NIH HHS

Grant: R01 CA240589

NCI NIH HHS

Grant: P30 CA013148

FWCI

0.00

Citation Percentile

0.2%

greenLicense: https://academic.oup.com/pages/standard-publication-reuse-rights

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC13095132/pdf/nihms-2128041.pdf

publisherhttps://academic.oup.com/imammb/advance-article-pdf/doi/10.1093/imammb/dqaf009/64171201/dqaf009.pdf

publisherhttps://academic.oup.com/imammb/article-pdf/42/4/399/64171201/dqaf009.pdf

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC13095132/

Fields of Study

Cancer Immunotherapy and BiomarkersMedical Imaging Techniques and ApplicationsMathematical Biology Tumor Growth

MeSH Terms

Immune Checkpoint InhibitorsAnimalsFemaleImmunotherapyCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesPositron-Emission TomographyMiceProgrammed Cell Death 1 ReceptorTriple Negative Breast Neoplasms

Keywords

ImmunotherapyIdentifiabilityBreast cancerCD8Immune systemTriple-negative breast cancerCancer immunotherapyMedicineCancerT cellCytotoxic T cellOncologyComputational biologyCancer researchImmunologyComputer scienceInternal medicineBiologyMachine learningMechanistic modelOrdinary Differential EquationsData-driven ModelingParameter Identifiability And Sensitivity