Literature DB >> 30537645

A systematic assessment of statistics, risk factors, and underlying features involved in pancreatic cancer.

Imlimaong Aier1, Rahul Semwal1, Anju Sharma1, Pritish Kumar Varadwaj2.   

Abstract

Pancreatic cancer remains the fourth leading cause of cancer-related death in the world, and will continue to become the number two cause of cancer-related death unless a remarkable breakthrough is achieved. With a slim chance of early diagnosis, surgery can only provide a median survival of 17-23 months. The presence of a dense stroma makes this cancer resilient to chemotherapy, with very few potent inhibitors like nab paclitaxelin available that can work in combination with chemotherapeutic agents. Survival rates, on the one hand, lie at 8.5%. Variation in types of pancreatic cancer, on the other hand, makes it notoriously difficult to come up with a practical solution for the treatment of this disease. A deeper understanding of the root cause would be beneficial for diagnosis. Advancement in the field of genomics has made the identification of novel biomarkers relatively easier. By coupling this factor with the production of suitable inhibitors, testing in large numbers can be made possible with the help of cell lines. With the combined efforts of biological knowledge and modern technology, the cure for pancreatic cancer could be at hand.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomarkers; Chemotherapy resistance; Nab paclitaxelin; Pancreatic cancer; Survival rate

Year:  2018        PMID: 30537645     DOI: 10.1016/j.canep.2018.12.001

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  32 in total

1.  Co-targeting of CXCR4 and hedgehog pathways disrupts tumor-stromal crosstalk and improves chemotherapeutic efficacy in pancreatic cancer.

Authors:  Mohammad Aslam Khan; Sanjeev Kumar Srivastava; Haseeb Zubair; Girijesh Kumar Patel; Sumit Arora; Moh'd Khushman; James Elliot Carter; Gregory Stephen Gorman; Seema Singh; Ajay Pratap Singh
Journal:  J Biol Chem       Date:  2020-05-01       Impact factor: 5.157

2.  Employing Novel Porcine Models of Subcutaneous Pancreatic Cancer to Evaluate Oncological Therapies.

Authors:  Alissa Hendricks-Wenger; Margaret A Nagai-Singer; Kyungjun Uh; Eli Vlaisavljevich; Kiho Lee; Irving C Allen
Journal:  Methods Mol Biol       Date:  2022

3.  Mechanical Stress Signaling in Pancreatic Cancer Cells Triggers p38 MAPK- and JNK-Dependent Cytoskeleton Remodeling and Promotes Cell Migration via Rac1/cdc42/Myosin II.

Authors:  Maria Kalli; Ruxuan Li; Gordon B Mills; Triantafyllos Stylianopoulos; Ioannis K Zervantonakis
Journal:  Mol Cancer Res       Date:  2022-03-01       Impact factor: 5.852

Review 4.  EUS-RFA of the pancreas: where are we and future directions.

Authors:  Lakshmi Asritha Gollapudi; Amy Tyberg
Journal:  Transl Gastroenterol Hepatol       Date:  2022-04-25

5.  Understanding the Mechanism of Cell Death in Gemcitabine Resistant Pancreatic Ductal Adenocarcinoma: A Systems Biology Approach.

Authors:  Imlimaong Aier; Pritish K Varadwaj
Journal:  Curr Genomics       Date:  2019-11       Impact factor: 2.236

6.  Prognostic Value of the Systemic Immune-Inflammation Index (SII) After Neoadjuvant Therapy for Patients with Resected Pancreatic Cancer.

Authors:  Pranav Murthy; Mazen S Zenati; Amr I Al Abbas; Caroline J Rieser; Nathan Bahary; Michael T Lotze; Herbert J Zeh; Amer H Zureikat; Brian A Boone
Journal:  Ann Surg Oncol       Date:  2019-12-02       Impact factor: 5.344

Review 7.  Revealing macropinocytosis using nanoparticles.

Authors:  Nicolas Means; Chandra Kumar Elechalawar; Wei R Chen; Resham Bhattacharya; Priyabrata Mukherjee
Journal:  Mol Aspects Med       Date:  2021-07-16

8.  Inhibition of β-Catenin Activity Abolishes LKB1 Loss-Driven Pancreatic Cystadenoma in Mice.

Authors:  Mei-Jen Hsieh; Ching-Chieh Weng; Yu-Chun Lin; Chia-Chen Wu; Li-Tzong Chen; Kuang-Hung Cheng
Journal:  Int J Mol Sci       Date:  2021-04-28       Impact factor: 5.923

9.  Identification of novel candidate biomarkers for pancreatic adenocarcinoma based on TCGA cohort.

Authors:  Yang Jie; Wang Peng; Yuan-Yuan Li
Journal:  Aging (Albany NY)       Date:  2021-02-11       Impact factor: 5.682

10.  Multi-institutional development and external validation of machine learning-based models to predict relapse risk of pancreatic ductal adenocarcinoma after radical resection.

Authors:  Xiawei Li; Litao Yang; Zheping Yuan; Jianyao Lou; Yiqun Fan; Aiguang Shi; Junjie Huang; Mingchen Zhao; Yulian Wu
Journal:  J Transl Med       Date:  2021-06-30       Impact factor: 5.531

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