Publications by authors named "T Thamrongjirapat"

Purpose: The incidence and survival rates of head and neck squamous cell carcinoma (HNSCC) and nasopharyngeal carcinoma (NPC) vary globally, influenced by factors such as ethnicity, lifestyle, and health care systems.

Methods: A retrospective analysis was conducted on patients with HNSCC treated between 2008 and 2020 in four major Thai academic cancer centers, using a multidisciplinary multicenter database. The study focused on the evolution of patient characteristics, survival changes, and treatment landscape alterations over time.

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Background: EGFR inhibitor and immunotherapy have been approved for adjuvant treatment in resectable non-small cell lung cancer (NSCLC). Limited reports of molecular and clinical characteristics as prognostic factors in NSCLC have been published.

Methods: Medical records of patients with resectable NSCLC stage I-III diagnosed during 2015-2020 were reviewed.

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Osimertinib has shown greater efficacy than standard epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) and fewer grade 3 or higher adverse drug reactions (ADRs) in patients with advanced non-small cell lung cancer (NSCLC) harboring () mutations. However, the clinical outcomes of osimertinib treatment vary depending on the patient's ethnicity. Therefore, further research is necessary to evaluate the impact of single nucleotide polymorphisms (SNPs) in cytochrome P450 () and drug transporters on the therapeutic outcomes and ADRs to osimertinib in Thai patients, to provide improved pharmacological treatments for cancer patients.

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Background: Despite significant benefits of epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) treatment in patients with -mutated NSCLC, access remains limited in Thailand and elsewhere.

Methods: Retrospective analysis of patients with locally advanced/recurrent NSCLC and known mutation (m) status treated at Ramathibodi Hospital (2012-2017). Prognostic factors for overall survival (OS), including treatment type and healthcare coverage, were analyzed using Cox regression.

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