Literature DB >> 33578797

SILAC-Based Quantitative Proteomic Analysis of Oxaliplatin-Resistant Pancreatic Cancer Cells.

Young Eun Kim1,2, Eun-Kyung Kim3, Min-Jeong Song3, Tae-Young Kim2, Ho Hee Jang3, Dukjin Kang1.   

Abstract

Oxaliplatin is a commonly used chemotherapeutic drug for the treatment of pancreatic cancer. Understanding the cellular mechanisms of oxaliplatin resistance is important for developing new strategies to overcome drug resistance in pancreatic cancer. In this study, we performed a stable isotope labelling by amino acids in cell culture (SILAC)-based quantitative proteomics analysis of oxaliplatin-resistant and sensitive pancreatic cancer PANC-1 cells. We identified 107 proteins whose expression levels changed (thresholds of 2-fold changes and p-value ≤ 0.05) between oxaliplatin-resistant and sensitive cells, which were involved in multiple biological processes, including DNA repair, cell cycle process, and type I interferon signaling pathway. Notably, myristoylated alanine-rich C-kinase substrate (MARCKS) and Wntless homolog protein (WLS) were upregulated in oxaliplatin-resistant cells compared to sensitive cells, as confirmed by qRT-PCR and Western blot analysis. We further demonstrated the activation of AKT and β-catenin signaling (downstream targets of MARCKS and WLS, respectively) in oxaliplatin-resistant PANC-1 cells. Additionally, we show that the siRNA-mediated suppression of both MARCKS and WLS enhanced oxaliplatin sensitivity in oxaliplatin-resistant PANC-1 cells. Taken together, our results provide insights into multiple mechanisms of oxaliplatin resistance in pancreatic cancer cells and reveal that MARCKS and WLS might be involved in the oxaliplatin resistance.

Entities:  

Keywords:  SILAC; drug resistance; oxaliplatin; pancreatic cancer; quantitative proteomics

Year:  2021        PMID: 33578797      PMCID: PMC7916634          DOI: 10.3390/cancers13040724

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  70 in total

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Review 4.  Proteomics for identifying mechanisms and biomarkers of drug resistance in cancer.

Authors:  Xin-Hui Li; Cui Li; Zhi-Qiang Xiao
Journal:  J Proteomics       Date:  2011-09-20       Impact factor: 4.044

Review 5.  Mining the Wnt pathway for cancer therapeutics.

Authors:  Nick Barker; Hans Clevers
Journal:  Nat Rev Drug Discov       Date:  2006-12       Impact factor: 84.694

6.  Oxaliplatin: a review in the era of molecularly targeted therapy.

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Journal:  Curr Oncol       Date:  2011-01       Impact factor: 3.677

Review 7.  Molecularly targeted therapies for p53-mutant cancers.

Authors:  Dekuang Zhao; William M Tahaney; Abhijit Mazumdar; Michelle I Savage; Powel H Brown
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Review 8.  Mechanisms controlling sensitivity to platinum complexes: role of p53 and DNA mismatch repair.

Authors:  S Manic; L Gatti; N Carenini; G Fumagalli; F Zunino; P Perego
Journal:  Curr Cancer Drug Targets       Date:  2003-02       Impact factor: 3.428

9.  The Wnt pathway destabilizes adherens junctions and promotes cell migration via β-catenin and its target gene cyclin D1.

Authors:  Annica Vlad-Fiegen; Anette Langerak; Sonja Eberth; Oliver Müller
Journal:  FEBS Open Bio       Date:  2012-03-05       Impact factor: 2.693

10.  Cisplatin resistance in non-small cell lung cancer cells is associated with an abrogation of cisplatin-induced G2/M cell cycle arrest.

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Journal:  PLoS One       Date:  2017-07-26       Impact factor: 3.240

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  2 in total

1.  Novel Strategies to Address Critical Challenges in Pancreatic Cancer.

Authors:  Jisce R Puik; Rutger-Jan Swijnenburg; Geert Kazemier; Elisa Giovannetti
Journal:  Cancers (Basel)       Date:  2022-08-25       Impact factor: 6.575

Review 2.  The Role of MARCKS in Metastasis and Treatment Resistance of Solid Tumors.

Authors:  Chun-Lung Chiu; Hongjuan Zhao; Ching-Hsien Chen; Reen Wu; James D Brooks
Journal:  Cancers (Basel)       Date:  2022-10-08       Impact factor: 6.575

  2 in total

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