دورية أكاديمية
Prediction of resistance to bevacizumab plus FOLFOX in metastatic colorectal cancer-Results of the prospective multicenter PERMAD trial.
| العنوان: | Prediction of resistance to bevacizumab plus FOLFOX in metastatic colorectal cancer-Results of the prospective multicenter PERMAD trial. |
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| المؤلفون: | Seufferlein, Thomas, Lausser, Ludwig, Stein, Alexander, Arnold, Dirk, Prager, Gerald, Kasper-Virchow, Stefan, Niedermeier, Michael, Müller, Lothar, Kubicka, Stefan, König, Alexander, Büchner-Steudel, Petra, Wille, Kai, Berger, Andreas W, Kestler, Angelika M R, Kraus, Johann M, Werle, Silke D, Perkhofer, Lukas, Ettrich, Thomas J, Kestler, Hans A |
| المصدر: | PLoS One ; ISSN:1932-6203 ; Volume:19 ; Issue:6 |
| بيانات النشر: | Public Library of Science |
| سنة النشر: | 2024 |
| المجموعة: | PubMed Central (PMC) |
| الوصف: | Anti-vascular endothelial growth factor (VEGF) monoclonal antibodies (mAbs) are widely used for tumor treatment, including metastatic colorectal cancer (mCRC). So far, there are no biomarkers that reliably predict resistance to anti-VEGF mAbs like bevacizumab. A biomarker-guided strategy for early and accurate assessment of resistance could avoid the use of non-effective treatment and improve patient outcomes. We hypothesized that repeated analysis of multiple cytokines and angiogenic growth factors (CAFs) before and during treatment using machine learning could provide an accurate and earlier, i.e., 100 days before conventional radiologic staging, prediction of resistance to first-line mCRC treatment with FOLFOX plus bevacizumab. |
| نوع الوثيقة: | article in journal/newspaper report |
| اللغة: | English |
| العلاقة: | https://doi.org/10.1371/journal.pone.0304324Test; https://pubmed.ncbi.nlm.nih.gov/38875244Test; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11178165Test/ |
| DOI: | 10.1371/journal.pone.0304324 |
| الإتاحة: | https://doi.org/10.1371/journal.pone.0304324Test https://pubmed.ncbi.nlm.nih.gov/38875244Test https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11178165Test/ |
| حقوق: | Copyright: © 2024 Seufferlein et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| رقم الانضمام: | edsbas.F5595FBC |
| قاعدة البيانات: | BASE |
| DOI: | 10.1371/journal.pone.0304324 |
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