Melanoma-associated antigen A (MAGE-A) proteins are members of the cancer/testis antigens (CTA), and the expression of these proteins is almost exclusively limited to malignant cells, making them an attractive treatment target. MAGE-A expression is correlated with poor overall survival in several cancers, including head and neck squamous cell carcinoma (HNSCC). Among others, MAGE-A11 was found to be associated with resistance to different antineoplastic and targeted compounds, such as epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs). We searched The Cancer Genome Atlas (TCGA) database with a focus on MAGE-A and found that MAGE-A overexpression is a common event in HNSCC (27.5%). Furthermore, MAGE-A overexpression was correlated with significantly reduced overall survival (35.45 months vs. 64.78 months, P = 0.0173). In particular, MAGE-A11 overexpression was found in 9% of specimens. We then examined MAGE-A11 expression, the efficacy of EGFR and the EGFR mutational status and the effects of the pan-HER (human EGFR) TKIs erlotinib and afatinib in HNSCC cell lines. Next, we used a model of stable MAGE-A11 overexpression to demonstrate that MAGE-A11 impaired the efficacy of erlotinib and afatinib. In summary, our study provides evidence that MAGE-A11 contributes to erlotinib and afatinib resistance in head and neck cancer cell lines.
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http://dx.doi.org/10.1016/j.jcms.2017.12.014 | DOI Listing |
Cancers (Basel)
December 2024
Department of Chest Medicine, Taichung Veterans General Hospital, No. 1650, Sect. 4, Taiwan Boulevard, Taichung 407, Taiwan.
Background/objectives: Osimertinib is a standard sequential therapy for advanced and recurrent Epidermal Growth Factor Receptor (EGFR)-mutant non-small-cell lung cancer (NSCLC) patients with the T790M mutation, following treatment with first- or second-generation EGFR Tyrosine Kinase Inhibitors (TKIs). This study aims to investigate the differences in clinical outcomes between osimertinib as a 2nd-line treatment and as a ≥3rd-line treatment in this patient population.
Methods: Between September 2014 and March 2023, we enrolled advanced and recurrent T790M + NSCLC patients who had received osimertinib as sequential treatment for analysis.
J Food Drug Anal
December 2024
School of Pharmacy, College of Pharmacy, Taipei Medical University, Taipei, Taiwan.
Non-small cell lung cancer (NSCLC) is commonly treated with tyrosine kinase inhibitors (TKIs). However, adverse events from such treatment can lead to treatment discontinuation and additional medical expenditures. Ambulatory care from oncology pharmacists in patient education and symptom management can benefit patients with NSCLC.
View Article and Find Full Text PDFAnticancer Res
January 2025
Anatomical Pathology Department, IRCCS CROB Referral Cancer Center of Basilicata, Rionero in Vulture, Italy;
Background/aim: Epidermal growth factor receptor (EGFR) exon 19 insertions are very rare mutations and their response to tyrosine kinase inhibitors (TKIs) is uncertain. We report our experience concerning two patients, along with a literature review.
Patients And Methods: A total of 1,046 non-small-cell lung cancer tumor tissue samples were screened for EGFR mutations, using direct sequencing or next-generation sequencing.
Transl Cancer Res
November 2024
Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, China.
Background: Characterized by its high mortality and easy recurrence, hepatocellular carcinoma (HCC) poses significant clinical challenges. The association between copper metabolism and development of cancer has been identified. However, the underlying mechanisms of copper metabolism-related long non-coding RNAs (CMRLs) in HCC remain elusive.
View Article and Find Full Text PDFCancer Rep (Hoboken)
December 2024
Department of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Background: There is a lack of real-world data on the use of targeted cancer drugs requiring molecular tumor diagnostics in the treatment of lung cancer in Germany.
Aims: We aimed to characterize the use of such drugs in lung cancer patients based on longitudinal analyses.
Methods And Results: Using the GePaRD database (claims data from ~20% of the German population) we identified lung cancer patients diagnosed in 2016 based on a previously developed algorithm and followed them until death, end of continuous insurance, or end of 2019.
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