https://scholar.dgist.ac.kr/handle/20.500.11750/9955 2026-04-04T13:37:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/47926 Title: Discovery of Novel Biomarkers of Small Cell Lung Cancer Using Highly Sensitive Quantitative Proteomic Analysis Author(s): Lee, Seung Hyeun; Kim, Min-Sik; Vu, Minh Hung Abstract: Introduction Small cell lung cancer (SCLC) is one of the malignant cancers with aggressive progression and poor prognosis. Bronchoalveolar lavage fluid (BALF) has been arising recently as a potential source of biomarkers for lung cancers. In this study, we performed quantitative BALF proteomic analysis to identify potential biomarkers for SCLC. Methods BALF were collected from tumor-bearing lungs and non-tumor lungs of five SCLC patients. Then, BALF proteomes were prepared for a TMT-based quantitative mass spectrometry analysis. Differentially expressed proteins (DEP) were identified when considering individual variation. Potential SCLC biomarker candidates were validated by immunohistochemistry (IHC). A public database of multiple SCLC cell lines was used to evaluate the correlation of these markers with SCLC subtypes and chemo-drug responses. Results We identified 460 BALF proteins in SCLC patients and observed considerable individual variation among the patients. Immunohistochemical analysis and bioinformatics resulted in the identification of CNDP2 and RNPEP as potential subtype markers for ASCL1 and NEUROD1, respectively. In addition, CNDP2 was found to be positively correlated with responses to etoposide, carboplatin, and irinotecan. Conclusions BALF is an emerging source of biomarkers, making it useful for the diagnosis and prognosis of lung cancers. We characterized the proteomes of paired BALF samples collected from tumor-bearing and non-tumor lungs of SCLC patients. Several proteins were found elevated in tumor-bearing BALF, and especially CNDP2 and RNPEP appeared to be potential indicators for ASLC1- high and NEUROD1-high subtypes of SCLC, respectively. The positive correlation of CNDP2 with chemo-drug responses would help to make decisions for treatment of SCLC patients. These putative biomarkers could be comprehensively investigated for a clinical use towards precision medicine. 2023-09-09T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/47314 Title: Integrative Multi-Omic Analysis of a Single Immune Cell Type Author(s): Kim, Min-Sik 2016-06-30T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/47311 Title: Quantitative proteomic and phosphoproteomic analysis of CD4+ T cells Author(s): Kim, Min-Sik 2016-08-17T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/47309 Title: Clinical Proteomic Analysis of Archival FFPE Tissues Author(s): Kim, Min-Sik; 김민정 2016-09-05T15:00:00Z