SLC7A11 and the glutathione pathway as novel prognostic markers in resectable pancreatic ductal adenocarcinoma: A metabolomics study of clinical specimens.

BACKGROUND/OBJECTIVES: Despite the poor prognosis associated with pancreatic ductal adenocarcinoma (PDAC), there remains a lack of clarity regarding the metabolic pathways and their significant impact on its phenotype. Therefore, we aimed to utilize metabolomics to capture changes in clinical PDAC tissues and elucidate the significant metabolic pathways close to its phenotypes. METHODS: This basic research was retrospectively validated using database research, immunohistochemistry, and protein analysis based on the findings obtained from metabolomics using clinical tissues collected from prospectively registered patients with PDAC. mRNA expression analysis using a database and protein analysis using archived clinical specimens was performed to validate the candidate pathways identified using metabolomics. Between-group comparisons were analyzed using paired t-tests and log-rank test, and Kaplan-Meier curves illustrated survival times. RESULTS: Patients subjected to metabolomics revealed a significant increase in glutathione disulfide levels in PDAC tissues when compared to normal pancreatic tissues. The Cancer Genome Atlas database analysis revealed significant changes in glutathione pathway-related mRNAs in PDAC compared to that in the normal pancreas. Protein analysis of previously resected specimens demonstrated a significant increase in SLC7A11 expression in PDAC tissues. The abundance ratio of SLC7A11 isoforms was associated with the post-operative prognosis in resectable PDAC. CONCLUSION: Glutathione disulfide levels were significantly increased in clinical PDAC metabolomics. Additionally, increased mRNA and protein expression in SLC7A11 was observed in PDAC. Furthermore, the SLC7A11 isoform abundance ratio may be a valuable prognostic marker in patients with resectable PDAC.

Sarcopenia accompanied by systemic inflammation can predict clinical outcomes in patients with head and neck cancer undergoing curative therapy.

Objectives: Evaluation of sarcopenia accompanied by systemic inflammation status is a more beneficial prognostic marker than sarcopenia alone in various cancers. However, few studies have focused on this combination in patients with head and neck squamous cell cancer (HNSCC). In this study, we investigated how the combination of sarcopenia and systemic inflammation could affect survival in patients with HNSCC. Moreover, we explored which systemic inflammation markers could be better prognostic indicators when accompanied by sarcopenia. Materials and methods: We retrospectively reviewed the medical records of patients with HNSCC treated between 2012 and 2016. Sarcopenia was defined by the skeletal muscle area measured on a computed tomography image slice at the level of the third cervical vertebra. The neutrophil/lymphocyte, platelet/lymphocyte, and lymphocyte/monocyte ratios (NLR, PLR, and LMR, respectively) were used as systemic inflammation markers that were combined with sarcopenia to evaluate prognosis. Results: A total of 100 patients were enrolled, and 71 patients were considered sarcopenia. Patients with sarcopenia had significantly lower LMR and higher NLR and PLR. They also showed worse overall survival (OS) and progression-free survival (PFS). The comparative assessment of multiple combination patterns of sarcopenia and systemic inflammation indices proved that sarcopenia plus LMR considered as most reliable indicator for prognosis in HNSCC patients. Sarcopenia plus low LMR was a significantly poor prognostic factor both for OS and PFS with greater HR values than sarcopenia alone. Conclusions: The combination of sarcopenia and LMR was considered the most sensitive prognostic factor in patients with HNSCC, suggesting it might be beneficial for identifying poor outcome risks.