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Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
Published on: February 27, 2015
Mass spectrometry-based secretome analysis of non-small cell lung cancer cell lines
Konstanze Bosse1, Silvia Haneder2, Christian Arlt1
1Department of Pharmaceutical Chemistry & Bioanalytics, Institute of Pharmacy, Martin-Luther University Halle-Wittenberg, Halle (Saale), Germany.
Abstract:
Tyrosine kinase inhibitors, such as erlotinib, display reliable responses and survival benefits for the treatment of human non-small cell lung cancer (NSCLC) patients. However, primary or acquired resistance limits their therapeutic success. In this study, we conducted in-depth mass spectrometric analyses of NSCLC cell secretomes. To identify secreted proteins that are differentially regulated in erlotinib-sensitive (PC-9) and -resistant (PC-9ER) NSCLC cell lines, SILAC experiments were performed. On average, 900 proteins were identified in each sample with low variations in the numbers of identified proteins. Fourteen proteins were found to be differently regulated among erlotinib-sensitive and -resistant NSCLC cell lines, with five proteins (tissue-type plasminogen activator, epidermal growth factor receptor, urokinase-type plasminogen activator, platelet-derived growth factor D, and myeloid-derived growth factor) showing the most prominent regulation. Tissue-type plasminogen activator (t-PA) was up to 10-times upregulated in erlotinib-resistant NSCLC cells compared with erlotinib-sensitive cells. T-PA is an established tumor marker for various cancer types and seems to be a promising prognostic marker to differentiate erlotinib-sensitive from erlotinib-resistant NSCLC cells. To gain further insights into t-PA-regulated pathways, a t-PA variant was expressed in E. coli cells and its interactions with proteins secreted from erlotinib-sensitive and -resistant NCSLC cells were studied by a combined affinity enrichment chemical cross-linking/mass spectrometry (MS) approach. Fourteen proteins were identified as potential t-PA interaction partners, deserving a closer inspection to unravel the mechanisms underlying erlotinib resistance in NSCLC cells.
Insights
Researchers identified key proteins, including tissue-type plasminogen activator (t-PA), that are upregulated in non-small cell lung cancer (NSCLC) cells resistant to erlotinib. These findings may help predict treatment response and understand resistance mechanisms.
Area of Science:
- Biochemistry
- Oncology
- Proteomics
Background:
- Tyrosine kinase inhibitors like erlotinib are vital for non-small cell lung cancer (NSCLC) treatment.
- Resistance to erlotinib, however, significantly limits therapeutic outcomes in NSCLC patients.
- Identifying mechanisms of resistance is crucial for improving patient survival and treatment strategies.
Purpose of the Study:
- To identify differentially regulated secreted proteins in erlotinib-sensitive versus -resistant NSCLC cell lines.
- To investigate the role of tissue-type plasminogen activator (t-PA) in erlotinib resistance.
- To uncover potential t-PA interaction partners involved in erlotinib resistance pathways.
Main Methods:
- Stable Isotope Labeling by Amino acids in Cell culture (SILAC) experiments were performed on NSCLC cell secretomes.
- Mass spectrometry (MS) was used to identify and quantify secreted proteins.
- Affinity enrichment, chemical cross-linking, and MS were employed to study t-PA interactions.
Main Results:
- Fourteen secreted proteins were found to be differentially regulated between sensitive and resistant NSCLC cells.
- Tissue-type plasminogen activator (t-PA) was significantly upregulated (up to 10-fold) in resistant cells.
- Fourteen potential t-PA interaction partners were identified, offering insights into resistance mechanisms.
Conclusions:
- Upregulation of t-PA is a key feature of erlotinib-resistant NSCLC.
- t-PA may serve as a prognostic marker for differentiating erlotinib sensitivity in NSCLC.
- Further investigation of t-PA interactions is warranted to elucidate erlotinib resistance mechanisms.
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