ArticleThoracic cancer2018
Quantitative proteomic analysis of mitochondrial proteins differentially expressed between small cell lung cancer cells and normal human bronchial epithelial cells.
Article in Thoracic cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Ornithine aminotransferase and carbamoyl phosphate synthetase 1 involved in ammonia metabolism serve as novel targets for early stages of gastric cancer.Journal of clinical laboratory analysis · 2022Article
- Potential biomarkers and targets of mitochondrial dynamics.Clinical and translational medicine · 2021Review
- Breast Cancer-Derived Microvesicles Are the Source of Functional Metabolic Enzymes as Potential Targets for Cancer Therapy.Biomedicines · 2021Article
- Comparative mitochondrial proteomic analysis of human large cell lung cancer cell lines with different metastasis potential.Thoracic cancer · 2019Article
- Recent Developments in Two-Dimensional Liquid Chromatography: Fundamental Improvements for Practical Applications.Analytical chemistry · 2019Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSmall cell lung cancer (SCLC) is highly aggressive and is associated with a dismal prognosis. However, there are no clinically recognized biomarkers for early diagnosis. In this study, we used quantitative proteomics to build differential mitochondrial protein profiles that may be used for early diagnosis and investigated the pathogenesis of lung cancer.
methodsWe cultured SCLC cells (NCI-H446) and normal human bronchial epithelial cells (16-HBE); mitochondria were extracted and purified using differential and Percoll density gradient centrifugation. Subsequently, we used Western blot analysis to validate mitochondrial purity and labeled proteins/peptides from NCI-H446 and 16-HBE cells using relative and absolute quantification of ectopic tags. We then analyzed mixed samples and identified proteins using two-dimensional liquid chromatography-tandem mass spectrometry. Additionally, we performed subsequent bioinformatic proteome analyses using the programs ExPASy, GOA, and STRING. Finally, the relationship between ornithine aminotransferase expression and clinicopathological features in lung cancer patients was evaluated using immunohistochemistry.
resultsOne hundred and fifty-three mitochondrial proteins were differentially expressed between 16-HBE and NCI-H446 cells. The expression of 30 proteins between 16-HBE and NCI-H446 cells increased more than 1.3-fold. The upregulation of ornithine aminotransferase was associated with pathological grade and clinical tumor node metastasis stage.
conclusionOur experiment represented a promising method for building differential mitochondrial protein profiles between NCI-H446 and 16-HBE cells. Such analysis may also help to identify novel biomarkers of lung cancer.
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