Evaluation of Serum MicroRNA Levels and Mutations Using Next-Generation Sequencing of Liquid Biopsies From Metastatic Pancreatic Cancer Patients: A Turkish Pilot Study

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Abstract

Pancreatic cancer is highly aggressive and at the time of diagnosis, 80% of patients are in the metastatic stage. Personalize d therapy guided by genomic biomarkers for pancreatic cancer has only recently begun to be investigated.This study aimed to comprehensively identify possible activating and pathological mutations in metastatic pancreatic cancer with NGS of liquid biopsies and to investigate miRNAs and mutations as therapeutic targets as we evaluated their relationships and effect on prognoses Seventeen patients and 20 healthy volunteers were included in the study. Blood samples were taken from the patients, cell free DNA was isolated from the serum, and mutation profiles were analyzed by NGS. Serum miRNA levels were analyzed by isolating circulating miRNA from the same samples from all groups. In patients with G288G synonymous mutants in the HNF1A gene compared to non-mutant patients, miR-17, miR-24, and miR-150 levels were found to be statistically significantly lower;The miR-17 and miR-146a levels of patients with a TP53 gene Pro72Arg mutation were found to be statistically significantly higher than that of the non-mutant group Survival was lower with the c.2472 C>T mutation located in exon 18 of the PDGFRA gene; higher in patients with P72R mutations in the TP53 gene and those with miRNA 17 and 146 upregulation carrying this mutation. This study is clinically meaningful in revealing possible pathogenic mutations detected in tumor cells circulating in metastatic pancreatic cancer, both in terms of prognostic value and whether the information can be used to target treatment, including gene therapy. © 2023, Yuzuncu Yil Universitesi Tip Fakultesi. All rights reserved.

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liquid biopsies, MicroRNA, next-generation sequencing, Pancreatic cancer, circulating free DNA, microRNA, microRNA 146a, microRNA 24, protein p53, adult, aged, Article, bioinformatics, blood sampling, cancer diagnosis, cancer patient, cancer prognosis, cancer survival, clinical article, computer assisted tomography, controlled study, data analysis, diagnostic test accuracy study, DNA extraction, DNA isolation, female, frameshift mutation, gene expression, gene mutation, hidden Markov model, high throughput sequencing, histopathology, human, human tissue, Kaplan Meier method, liquid biopsy, male, missense mutation, neutral mutation, overall survival, pancreas adenocarcinoma, pancreas cancer, pancreas metastasis, personalized medicine, pilot study, real time polymerase chain reaction, receiver operating characteristic, sensitivity and specificity, tumor cell, upregulation, İmmünoloji, Tıbbi İnformatik, Onkoloji, Tıbbi Araştırmalar Deneysel, Genel Ve Dahili Tıp, cancer patient, frameshift mutation, Kaplan Meier method, protein p53, data analysis, computer assisted tomography, liquid biopsies, cancer diagnosis, gene mutation, cancer survival, DNA extraction, clinical article, receiver operating characteristic, microRNA, adult, pilot study, MicroRNA, bioinformatics, personalized medicine, aged, female, real time polymerase chain reaction, histopathology, blood sampling, microRNA 24, overall survival, 610, tumor cell, cancer prognosis, Article, high throughput sequencing, male, pancreas cancer, controlled study, diagnostic test accuracy study, human, hidden Markov model, neutral mutation, pancreas metastasis, liquid biopsy, missense mutation, microRNA 146a, Pancreatic cancer, DNA isolation, human tissue, pancreas adenocarcinoma, sensitivity and specificity, gene expression, next-generation sequencing, circulating free DNA, upregulation

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28

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2

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334

End Page

351
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