Literature DB >> 30118658

Liquid biopsies for management of pancreatic cancer.

Mohamadmahdi Samandari1, María Gil Julia1, Alistair Rice1, Antonios Chronopoulos1, Armando E Del Rio Hernandez2.   

Abstract

Pancreatic cancer is one of the main causes of cancer-related deaths worldwide. It is asymptomatic at an early stage, and most diagnosis occurs when the disease is already at a late stage, by which time the tumor is nonresectable. In order to increase the overall survival of patients with pancreatic cancer, as well as to decrease the cancer burden, it is necessary to perform early diagnosis, prognosis stratifications and cancer monitoring using accurate, minimally invasive, and cost-effective methods. Liquid biopsies seek to detect tumor-associated biomarkers in a variety of extractable body fluids and can help to monitor treatment response and disease progression, and even predict patient outcome. In patients with pancreatic cancer, tumor-derived materials, primarily circulating tumor DNA, circulating tumor cells and exosomes, are being studied for inclusion in the management of the disease. This review focuses on describing the biology of these biomarkers, methods for their enrichment and detection, as well as their potential for clinical application. Moreover, we discuss the future direction of liquid biopsies and introduce how they can be exploited toward point of care personalized medicine for the management of pancreatic cancer.
Copyright © 2018. Published by Elsevier Inc.

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Year:  2018        PMID: 30118658     DOI: 10.1016/j.trsl.2018.07.008

Source DB:  PubMed          Journal:  Transl Res        ISSN: 1878-1810            Impact factor:   7.012


  16 in total

Review 1.  Emerging Role of Exosomal-Derived Long Noncoding RNAs in Human PDAC.

Authors:  Di Long; Xiao Dong Tian; Yin-Mo Yang
Journal:  Visc Med       Date:  2021-12-20

2.  Pancreatic Tumor Microenvironment.

Authors:  Kai Wang; Hong He
Journal:  Adv Exp Med Biol       Date:  2020       Impact factor: 2.622

3.  A simple, low cost and reusable microfluidic gradient strategy and its application in modeling cancer invasion.

Authors:  Mohamadmahdi Samandari; Laleh Rafiee; Fatemeh Alipanah; Amir Sanati-Nezhad; Shaghayegh Haghjooy Javanmard
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

Review 4.  Application of liquid biopsy for surgical management of pancreatic cancer.

Authors:  Minako Nagai; Masayuki Sho; Takahiro Akahori; Kenji Nakagawa; Kota Nakamura
Journal:  Ann Gastroenterol Surg       Date:  2020-02-12

5.  Evaluation of circulating tumor DNA as a biomarker in pancreatic cancer with liver metastasis.

Authors:  Yasunori Uesato; Naoki Sasahira; Masato Ozaka; Takashi Sasaki; Mitsuhisa Takatsuki; Hitoshi Zembutsu
Journal:  PLoS One       Date:  2020-07-02       Impact factor: 3.240

Review 6.  The Mutational Landscape of Pancreatic and Liver Cancers, as Represented by Circulating Tumor DNA.

Authors:  Alistair Rice; Armando Del Rio Hernandez
Journal:  Front Oncol       Date:  2019-09-24       Impact factor: 6.244

7.  Differential secretome of pancreatic cancer cells in serum-containing conditioned medium reveals CCT8 as a new biomarker of pancreatic cancer invasion and metastasis.

Authors:  Xiaodong Tan; Bing Song; Peng Liu; Lingming Kong; Haoyi Jin; Yunhao Wu
Journal:  Cancer Cell Int       Date:  2019-10-11       Impact factor: 5.722

Review 8.  Response to Preoperative Therapy in Localized Pancreatic Cancer.

Authors:  Giampaolo Perri; Laura R Prakash; Matthew H G Katz
Journal:  Front Oncol       Date:  2020-04-15       Impact factor: 6.244

9.  Prognostic value of circulating tumor DNA in pancreatic cancer: a systematic review and meta-analysis.

Authors:  Zengli Fang; Qingcai Meng; Bo Zhang; Si Shi; Jiang Liu; Chen Liang; Jie Hua; Xianjun Yu; Jin Xu; Wei Wang
Journal:  Aging (Albany NY)       Date:  2020-12-09       Impact factor: 5.682

Review 10.  Current Status of Circulating Tumor DNA Liquid Biopsy in Pancreatic Cancer.

Authors:  Miles W Grunvald; Richard A Jacobson; Timothy M Kuzel; Sam G Pappas; Ashiq Masood
Journal:  Int J Mol Sci       Date:  2020-10-16       Impact factor: 5.923

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