Predicting Resistance and Pseudoprogression: Are Minimalistic Immunoediting Mathematical Models Capable of Forecasting Checkpoint Inhibitor Treatment Outcomes in Lung Cancer?-Reference-Cited by-同舟云学术

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Predicting Resistance and Pseudoprogression: Are Minimalistic Immunoediting Mathematical Models Capable of Forecasting Checkpoint Inhibitor Treatment Outcomes in Lung Cancer?

Published:2024 Issue: Volume: Page:
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Author:

Scibilia Kevin Robert,Schlicke Pirmin,Schneller Folker,Kuttler Christina

Publisher

Elsevier BV

Reference60 articles.

1. Non-oncogene addicted metastatic non-small-cell lung cancer: Esmo clinical practice guideline for diagnosis, treatment and follow-up;L E Hendriks;Annals of Oncology,2023

2. Global cancer statistics;L A Torre;Cancer Journal for Clinicians,2012

3. SEER*Explorer: An interactive website for SEER cancer statistics;Surveillance Research Program;SEER 22 registries,1975

4. Acquired resistance to immune checkpoint inhibitors;A J Schoenfeld;Cancer cell,2020

5. Cancer immunotherapy using checkpoint blockade;A Ribas;Science,2018

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