Faculty, Staff and Student Publications
Language
English
Publication Date
1-1-2024
Journal
Cancer Management and Research
DOI
10.2147/CMAR.S465098
PMID
38919872
PMCID
PMC11198018
PubMedCentral® Posted Date
June 2024
PubMedCentral® Full Text Version
Post-Print
Abstract
AIM: This article aimed to find appropriate pancreatic cancer (PC) patients to treat with Gemcitabine with better survival outcomes by detecting hENT1 levels.
METHODS: We collected surgical pathological tissues from PC patients who received radical surgery in our hospital from September 2004 to December 2014. A total of 375 PC tissues and paired adjacent nontumor tissues were employed for the construction of 4 tissue microarrays (TMAs). The quality of the 4 TMAs was examined by HE staining. We performed immunohistochemistry analysis to evaluate hENT1 expression in the TMAs. Moreover, we detected hENT1 expression level and proved the role of hENT1 in cell proliferation, drug resistance, migration and invasion in vivo and vitro.
RESULTS: The results indicated that low hENT1 expression indicated a significantly poor outcome in PC patients, including shortened DFS (21.6±2.8 months versus 36.9±4.0 months, p467 U/mL (37.9±4.1 versus 22.9±4.0, p=0.04). In the subgroup analysis, a high hENT1 expression level was related to a longer OS(39.4±4.0 versus 31.5±3.9, p=0.001) and DFS(35.7±4.0 versus 20.6±2.7; p
CONCLUSION: PC patients with high hENT1 expression have a better survival outcomes when receiving Gemcitabine. hENT1 expression can be a great prognostic indicator for PC patients to receive Gemcitabine treatment.
Keywords
pancreatic cancer, human equilibrative nucleoside transporter 1, hENT1, gemcitabine chemoresistance, prognostic indicator, survival improvement
Published Open-Access
yes
Recommended Citation
Xiao, Jianchun; Zhao, Fangyu; Luo, Wenhao; et al., "Human Equilibrative Nucleoside Transporter 1: Novel Biomarker and Prognostic Indicator For Patients With Gemcitabine-Treated Pancreatic Cancer" (2024). Faculty, Staff and Student Publications. 336.
https://digitalcommons.library.tmc.edu/uthshis_docs/336
Included in
Bioinformatics Commons, Biomedical Informatics Commons, Data Science Commons, Endocrinology, Diabetes, and Metabolism Commons, Health Services Research Commons, Oncology Commons