FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2949202427> ?p ?o ?g. }

• W2949202427 abstract "Immunotherapy and immune checkpoint blocking antibodies such as anti-PD-1 are approved and significantly improve the survival of advanced non-small cell lung cancer (NSCLC) patients, but there has been little success in identifying biomarkers capable of separating the responders from non-responders before the onset of the therapy. In this study, we developed a quantitative system pharmacology (QSP) model to represent the anti-tumor immune response in human NSCLC that integrated our knowledge of tumor growth, antigen processing and presentation, T cell activation and distribution, antibody pharmacokinetics, and immune checkpoint dynamics. The model was calibrated with the available data and was used to identify potential biomarkers as well as patient-specific response based on the patient parameters. The model predicted that in addition to tumor mutational burden (TMB), a known biomarker for anti-PD-1 therapy in NSCLC, the number of effector T cells and regulatory T cells in the tumor and blood is a predictor of the responders. Furthermore, the model simulated a set of 12 patients with known TMB and MHC/antigen-binding affinity from a recent clinical trial ( ClinicalTrials.gov number, NCT02259621) on neoadjuvant nivolumab therapy in resectable lung cancer and predicted an augmented durable response in patients with adjuvant nivolumab treatment in addition to the clinical trial protocol of neoadjuvant nivolumab treatment followed by resection. Overall, the model provides a valuable framework to model tumor immunity and response to immune checkpoint blockers to enhance biomarker discovery and performing virtual clinical trials to aid in design and interpretation of the current trials with fewer patients." @default.
• W2949202427 created "2019-06-27" @default.
• W2949202427 creator A5001476938 @default.
• W2949202427 creator A5005140861 @default.
• W2949202427 creator A5025127300 @default.
• W2949202427 creator A5030268482 @default.
• W2949202427 creator A5038787613 @default.
• W2949202427 creator A5040040696 @default.
• W2949202427 creator A5069189562 @default.
• W2949202427 creator A5069627913 @default.
• W2949202427 creator A5089742010 @default.
• W2949202427 date "2019-06-24" @default.
• W2949202427 modified "2023-10-12" @default.
• W2949202427 title "A Computational Model of Neoadjuvant PD-1 Inhibition in Non-Small Cell Lung Cancer" @default.
• W2949202427 cites W1536396613 @default.
• W2949202427 cites W1935150201 @default.
• W2949202427 cites W1982488143 @default.
• W2949202427 cites W2006808166 @default.
• W2949202427 cites W2025578320 @default.
• W2949202427 cites W2026881092 @default.
• W2949202427 cites W2083048472 @default.
• W2949202427 cites W2088720324 @default.
• W2949202427 cites W2090031443 @default.
• W2949202427 cites W2104347254 @default.
• W2949202427 cites W2109485845 @default.
• W2949202427 cites W2121700939 @default.
• W2949202427 cites W2136859769 @default.
• W2949202427 cites W2152803686 @default.
• W2949202427 cites W2156353875 @default.
• W2949202427 cites W2160834915 @default.
• W2949202427 cites W2162744515 @default.
• W2949202427 cites W2198093519 @default.
• W2949202427 cites W2212497817 @default.
• W2949202427 cites W2304315762 @default.
• W2949202427 cites W2326870000 @default.
• W2949202427 cites W2527905628 @default.
• W2949202427 cites W2555935327 @default.
• W2949202427 cites W2560367415 @default.
• W2949202427 cites W2562305489 @default.
• W2949202427 cites W2572174216 @default.
• W2949202427 cites W2611596972 @default.
• W2949202427 cites W2619891302 @default.
• W2949202427 cites W2619951286 @default.
• W2949202427 cites W2635951006 @default.
• W2949202427 cites W2727175430 @default.
• W2949202427 cites W2750144820 @default.
• W2949202427 cites W2753065806 @default.
• W2949202427 cites W2753939078 @default.
• W2949202427 cites W2761575992 @default.
• W2949202427 cites W2767891987 @default.
• W2949202427 cites W2769767397 @default.
• W2949202427 cites W2790066065 @default.
• W2949202427 cites W2791717266 @default.
• W2949202427 cites W2794762714 @default.
• W2949202427 cites W2795166918 @default.
• W2949202427 cites W2796582438 @default.
• W2949202427 cites W2797675588 @default.
• W2949202427 cites W2798160602 @default.
• W2949202427 cites W2800160190 @default.
• W2949202427 cites W2805354595 @default.
• W2949202427 cites W2807849948 @default.
• W2949202427 cites W2808625215 @default.
• W2949202427 cites W2867613812 @default.
• W2949202427 cites W2892164007 @default.
• W2949202427 cites W2909588705 @default.
• W2949202427 cites W2910271149 @default.
• W2949202427 cites W2953377360 @default.
• W2949202427 doi "https://doi.org/10.1208/s12248-019-0350-x" @default.
• W2949202427 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6591205" @default.
• W2949202427 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31236847" @default.
• W2949202427 hasPublicationYear "2019" @default.
• W2949202427 type Work @default.
• W2949202427 sameAs 2949202427 @default.
• W2949202427 citedByCount "44" @default.
• W2949202427 countsByYear W29492024272019 @default.
• W2949202427 countsByYear W29492024272020 @default.
• W2949202427 countsByYear W29492024272021 @default.
• W2949202427 countsByYear W29492024272022 @default.
• W2949202427 countsByYear W29492024272023 @default.
• W2949202427 crossrefType "journal-article" @default.
• W2949202427 hasAuthorship W2949202427A5001476938 @default.
• W2949202427 hasAuthorship W2949202427A5005140861 @default.
• W2949202427 hasAuthorship W2949202427A5025127300 @default.
• W2949202427 hasAuthorship W2949202427A5030268482 @default.
• W2949202427 hasAuthorship W2949202427A5038787613 @default.
• W2949202427 hasAuthorship W2949202427A5040040696 @default.
• W2949202427 hasAuthorship W2949202427A5069189562 @default.
• W2949202427 hasAuthorship W2949202427A5069627913 @default.
• W2949202427 hasAuthorship W2949202427A5089742010 @default.
• W2949202427 hasBestOaLocation W29492024271 @default.
• W2949202427 hasConcept C121608353 @default.
• W2949202427 hasConcept C126322002 @default.
• W2949202427 hasConcept C143998085 @default.
• W2949202427 hasConcept C203014093 @default.
• W2949202427 hasConcept C2776090121 @default.
• W2949202427 hasConcept C2776256026 @default.
• W2949202427 hasConcept C2777701055 @default.
• W2949202427 hasConcept C2777863537 @default.
• W2949202427 hasConcept C2778292576 @default.
• W2949202427 hasConcept C2780030458 @default.

• next