Applying Probe Electrospray Ionization Mass Spectrometry to Cytological Diagnosis: A Preliminary Study by Using Cultured Lung Cancer Cells
Autor: | Takeshi Oya, Michiko Yamashita, Minoru Matsumoto, Mayuko Ichimura-Shimizu, Hirohisa Ogawa, Chunmei Cheng, Tomoko Kobayashi, Yuki Morimoto, Satoshi Sumida, Takumi Kakimoto, Koichi Tsuneyama |
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Rok vydání: | 2020 |
Předmět: |
Pathology
medicine.medical_specialty Cell type Spectrometry Mass Electrospray Ionization Histology Lung Neoplasms business.industry Electrospray ionization Cytodiagnosis Cell Culture Techniques Cancer General Medicine medicine.disease Mass spectrometry Mass Spectrometry Pathology and Forensic Medicine Cancer cell medicine Adenocarcinoma Humans Lung cancer business Cells Cultured |
Zdroj: | Acta cytologica. 65(5) |
ISSN: | 1938-2650 |
Popis: | Objectives: Cytology and histology are 2 indispensable diagnostic tools for cancer diagnosis, which are rapidly increasing in importance with aging populations. We applied mass spectrometry (MS) as a rapid approach for swiftly acquiring nonmorphological information of interested cells. Conventional MS, which primarily rely on promoting ionization by pre-applying a matrix to cells, has the drawback of time-consuming both on data acquisition and analysis. As an emerging method, probe electrospray ionization-MS (PESI-MS) with a dedicated probe is capable to pierce sample and measure specimen in small amounts, either liquid or solid, without the requirement for sample pretreatment. Furthermore, PESI-MS is timesaving compared to the conventional MS. Herein, we investigated the capability of PESI-MS to characterize the cell types derived from the respiratory tract of human tissues. Study Design: PESI-MS analyses with DPiMS-2020 were performed on various type of cultured cells including 5 lung squamous cell carcinomas, 5 lung adenocarcinomas, 5 small-cell carcinomas, 4 malignant mesotheliomas, and 2 normal controls. Results: Several characteristic peaks were detected at around m/z 200 and 800 that were common in all samples. As expected, partial least squares-discriminant analysis of PESI-MS data distinguished the cancer cell types from normal control cells. Moreover, distinct clusters divided squamous cell carcinoma from adenocarcinoma. Conclusion: PESI-MS presented a promising potential as a novel diagnostic modality for swiftly acquiring specific cytological information. |
Databáze: | OpenAIRE |
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