Why the study?
TKTL1 expression predicts poor prognosis in several cancers, but its prognostic utility and correlation with 18F-FDG-PET-CT in pancreatic ductal adenocarcinoma needed evaluation.
Does TKTL1 expression predict prognosis in patients with pancreatic ductal adenocarcinoma?
Does TKTL1 expression predict prognosis in patients with pancreatic ductal adenocarcinoma?
TKTL1 expression is not a significant prognostic factor for overall PDAC survival but may indicate better prognosis in elderly patients and those with advanced disease.
TKTL1 expression lacks overall prognostic value in PDAC; leaves open potential utility in elderly and advanced-disease subgroups.
INTRODUCTION: Glucose metabolism in cancer cells differs from noncancerous cells. The expression of transketolase-like protein 1 (TKTL1), a key enzyme in the glucose metabolism of cancer cells, predicts poor prognosis in several cancer types. We studied TKTL1 as a prognostic tool and whether TKTL1 expression correlates with 18F-FDG-PET-CT among patients with pancreatic ductal adenocarcinoma (PDAC). METHODS: This retrospective study examined two PDAC patient cohorts: 168 patients operated on at Helsinki University Hospital between 2001 and 2011, and 20 patients with FDG-PET-CT results available from the Auria Biobank. We used immunohistochemistry for TKTL1 expression, combining results with clinicopathological data. RESULTS: Five-year disease-specific survival (DSS) was slightly but not significantly better in patients with a high versus low TKTL1 expression, with DSS of 28.0 versus 17.3%, respectively (p = 0.123). TKTL1 served as a marker of a better prognosis in patients over 65 years old (p = 0.012) and among those with TNM class M1 (p = 0.018), stage IV disease (p = 0.027), or perivascular invasion (p = 0.008). CONCLUSIONS: Our study shows that TKTL1 cannot be used as a prognostic factor in PDAC with the exception of elderly patients and those with advanced disease. The correlation of TKTL1 with 18F-FDG-PET-CT requires further study in a larger patient cohort.
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Ahopelto et al. (2020) studied this question.
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