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Afatinib or Bevacizumab in combination with Osimertinib efficiently control tumor development in orthotopic murine models of non-small lung cancer

Lung cancer is one of the most common and deadliest cancers. Preclinical models are essential to study new therapies and combinations taking tumor genetics into account. We have established cell lines expressing the luciferase gene from lines with varied genetic backgrounds, commonly encountered in...

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Bibliographic Details
Published in:PloS one 2024-06, Vol.19 (6), p.e0304914
Main Authors: Jarry, Ulrich, Bostoen, Megane, Archambeau, Jérome, Pineau, Raphaël, Chaillot, Laura, Jouan, Florence, Solhi, Hélène, Ferrari, Hugo, Le Guevel, Rémy, Mennessier, Valentine, Lena, Hervé, Corre, Romain, Ricordel, Charles, Guillaudeux, Thierry, Pedeux, Rémy
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Language:English
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Summary:Lung cancer is one of the most common and deadliest cancers. Preclinical models are essential to study new therapies and combinations taking tumor genetics into account. We have established cell lines expressing the luciferase gene from lines with varied genetic backgrounds, commonly encountered in patients with pulmonary adenocarcinoma. We have characterized these lines by testing their response to multiple drugs. Thus, we have developed orthotopic preclinical mouse models of NSCLC with very high engraftment efficiency. These models allow the easy monitoring of tumor growth, particularly in response to treatment, and of tumor cells dissemination in the body. We show that concomitant treatment with osimertinib (3rd generation tyrosine kinase inhibitor targeting mutated EGFR) and bevacizumab (anti-angiogenic targeting VEGF) can have a beneficial therapeutic effect on EGFR-mutated tumors. We also show that the addition of afatinib to osimertinib-treated tumors in escape leads to tumor growth inhibition. No such effect is observed with selumetinib or simvastatin. These preclinical mouse models therefore make it possible to test innovative therapeutic combinations and are also a tool of choice for studying resistance mechanisms.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0304914