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Background: Glioblastoma multiforme (GBM) is the most common primary malignant brain tumor in adults. Amplification or overexpression of the epidermal growth factor receptor gene, part of the ErbB family, occur in approximately 40% and 60% of patients with GBM, respectively. We present data from a dose-finding study of the ErbB inhibitor afatinib in combination with radiotherapy (RT), with or without temozolomide (TMZ), in patients with GBM.
Methods: This was a phase I, open-label, 3 + 3 dose-escalation trial in patients with newly-diagnosed, histologically-confirmed grade 4 malignant glioma and proven O-methylguanine-DNA methyltransferase gene promoter methylation status. The primary endpoint was the maximum tolerated dose (MTD) of continuous daily afatinib when given in combination with RT, with (regimen M) or without (regimen U) concomitant TMZ treatment.
Results: Fifty-five patients were enrolled; 36 received ≥ 1 dose of trial medication (regimen M, n = 20, regimen U, n = 16). Afatinib was discontinued by all patients during the study. Reasons for afatinib discontinuation (regimen M/U) included disease progression (45%/50%), dose-limiting toxicity (10%/0%), and other adverse events (AEs; 35%/38%). The most frequently reported AEs with either regimen were diarrhea and rash, with no new safety signals identified. The MTD was determined as afatinib 30 mg in combination with daily TMZ and RT, and afatinib 40 mg in combination with RT alone.
Conclusions: This study identified the MTD for afatinib in combination with RT, with and without TMZ, in patients with GBM. Further studies of afatinib in patients with GBM are warranted and should be based on appropriate biomarker-based preselection.
Trial Registration: NCT00977431 (first posted September 15, 2009).
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651574 | PMC |
http://dx.doi.org/10.1007/s11060-021-03877-6 | DOI Listing |
Introduction: Low back pain (LBP) is a significant global health burden, with variable treatment outcomes and an unclear underlying molecular mechanism. Effective prediction of treatment responses remains a challenge. In this study, we aimed to develop gene signature-based machine learning models using transcriptomic data from peripheral immune cells to predict treatment outcomes in patients with LBP.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
December 2024
Department of Neurosurgery and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, College of Chemistry and Chemical Engineering, College of Energy, Institute of Artificial Intelligence, State Key Laboratory for Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen 361102, China; Scientific Research Foundation of State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen 361005, China. Electronic address:
Glioblastoma multiforme (GBM) is the most lethal intracranial tumor with a median survival of approximately 15 months. Due to its highly invasive properties, it is particularly difficult to accurately identify the tumor margins intraoperatively. The current gold standard for diagnosing GBM during surgery is pathology, but it is time-consuming.
View Article and Find Full Text PDFAdv Sci (Weinh)
December 2024
Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, 1 Friendship Road, Chongqing, 400016, P. R. China.
Survival quality of glioblastoma (GBM) patients remains undesirable despite the aggressive multimodal treatment methods implemented, which are strongly associated with tumor recurrence after surgical resection. Self-renewal and strong tumourigenic capacity of glioblastoma stem cells (GSCs) at the narrow margin of the incision are essential factors driving tumor secondary strikes. Currently, the challenges in treating postoperative residual GSCs are mainly due to the lack of materials for incision and GSCs targeting.
View Article and Find Full Text PDFCancer Cell Int
December 2024
Institute for Excellence in Clinical Medicine of Kunshan First People's Hospital, Soochow University, Suzhou, China.
Gliomas are the most common tumors of the central nervous system, with glioblastoma (GBM) being particularly aggressive and fatal. Current treatments for GBM, including surgery and chemotherapy, are limited by tumor aggressiveness and the blood-brain barrier. Therefore, understanding the molecular mechanisms driving GBM growth is essential.
View Article and Find Full Text PDFDiscov Nano
December 2024
Department of Surgery, Level 7, Bridge E, Faculty of Health Sciences, Steve Biko Academic Hospital, University of Pretoria, Private Bag X323, Arcadia, 0007, South Africa.
Glioblastoma (GBM) is an aggressive brain tumor characterized by cellular and molecular diversity. This diversity presents significant challenges for treatment and leads to poor prognosis. Surgery remains the primary treatment of choice for GBMs, but it often results in tumor recurrence due to complex interactions between GBM cells and the peritumoral brain zone.
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