Dataset Information

SILAC-Based Quantitative Proteomics Identifies Multifactorial Mechanism of Oxaliplatin Resistance in Pancreatic Cancer Cells

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 between oxaliplatin-resistant and sensitive cells, which were involved in multiple biological processes, including DNA repair, drug response, apoptotic signalling, and the type 1 interferon signalling 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 signalling (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 chemotherapeutic resistance in pancreatic cancer.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Pancreatic Ductal Adenocarcinoma Cell Line

SUBMITTER: Youn Eun Kim

LAB HEAD: Dukjin Kang

PROVIDER: PXD021251 | Pride | 2021-09-09

REPOSITORIES: Pride

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Publications

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

Kim Young Eun YE Kim Eun-Kyung EK Song Min-Jeong MJ Kim Tae-Young TY Jang Ho Hee HH Kang Dukjin D

Cancers 20210210 4

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 le ...[more]

PMID: 33578797

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Project description:Purpose: Chemotherapy is pivotal in the multimodal treatment of pancreatic cancer patients. In recent years, technical advances have developed experimental methods that unveiled a high degree of inter- and intratumoral heterogeneity in pancreatic cancer. We hypothesized that intratumoral heterogeneity (ITH) impacts response to gemcitabine treatment and demands specific targeting of resistant subclones. Experimental Design: We addressed the effect of ITH on response to gemcitabine treatment using single cell-derived cell lines (SCDCL) from the classical-like cell line BxPC3 and the basal-like cell line Panc-1 which were analyzed by mRNA-seq and mass spectrometry. Results: Individual SCDCLs of the parental tumor cell populations of BxPC3 and Panc-1 showed considerable heterogeneity in response to gemcitabine. Unsupervised principal component analysis (PCA) including the 1,000 most variably expressed genes showed a clustering of the SCDCLs according to their respective sensitivity to gemcitabine treatment for BxPC3, while this clustering was less clear for Panc-1. In BxPC3 SCDCLs, enriched signaling pathways EMT, TNF signaling via NfKB, and IL2STAT5 signaling correlated with more resistant behavior to gemcitabine. In Panc-1 SCDCLs MYC targets V1 and V2 as well as E2F targets were associated with stronger resistance to gemcitabine. Feature extraction of proteomes again identified less proteins whose expression was associated with the response of individual SCDCLs in Panc-1 compared to BxPC3. Based on molecular profiles, we could show that the gemcitabine-resistant SCDCLs of both BxPC3 and Panc-1 are more sensitive to the BET inhibitor JQ1 compared to the respective gemcitabine-sensitive SCDCLs. Conclusions: Our model system of SCDCLs identified gemcitabine-resistant subclones within a parental tumor population and provides evidence for the critical role of ITH for treatment response in pancreatic cancer. Through molecular profiling, we identified specific signaling pathways and protein signatures that might help to explain the differential response to treatment among clones. We exploited these molecular differences for an improved and more targeted therapy of resistant subclones of a heterogeneous tumor.

Dataset Information

SILAC-Based Quantitative Proteomics Identifies Multifactorial Mechanism of Oxaliplatin Resistance in Pancreatic Cancer Cells

Publications

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

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