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    <title>Repository Collection: null</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/9955</link>
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    <pubDate>Sat, 04 Apr 2026 13:36:35 GMT</pubDate>
    <dc:date>2026-04-04T13:36:35Z</dc:date>
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      <title>Discovery of Novel Biomarkers of Small Cell Lung Cancer Using Highly Sensitive Quantitative Proteomic Analysis</title>
      <link>https://scholar.dgist.ac.kr/handle/20.500.11750/47926</link>
      <description>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.</description>
      <pubDate>Sat, 09 Sep 2023 15:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scholar.dgist.ac.kr/handle/20.500.11750/47926</guid>
      <dc:date>2023-09-09T15:00:00Z</dc:date>
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    <item>
      <title>Integrative Multi-Omic Analysis of a Single Immune Cell Type</title>
      <link>https://scholar.dgist.ac.kr/handle/20.500.11750/47314</link>
      <description>Title: Integrative Multi-Omic Analysis of a Single Immune Cell Type
Author(s): Kim, Min-Sik</description>
      <pubDate>Thu, 30 Jun 2016 15:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scholar.dgist.ac.kr/handle/20.500.11750/47314</guid>
      <dc:date>2016-06-30T15:00:00Z</dc:date>
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    <item>
      <title>Quantitative proteomic and phosphoproteomic analysis of CD4+ T cells</title>
      <link>https://scholar.dgist.ac.kr/handle/20.500.11750/47311</link>
      <description>Title: Quantitative proteomic and phosphoproteomic analysis of CD4+ T cells
Author(s): Kim, Min-Sik</description>
      <pubDate>Wed, 17 Aug 2016 15:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scholar.dgist.ac.kr/handle/20.500.11750/47311</guid>
      <dc:date>2016-08-17T15:00:00Z</dc:date>
    </item>
    <item>
      <title>Clinical Proteomic Analysis of Archival FFPE Tissues</title>
      <link>https://scholar.dgist.ac.kr/handle/20.500.11750/47309</link>
      <description>Title: Clinical Proteomic Analysis of Archival FFPE Tissues
Author(s): Kim, Min-Sik; 김민정</description>
      <pubDate>Mon, 05 Sep 2016 15:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scholar.dgist.ac.kr/handle/20.500.11750/47309</guid>
      <dc:date>2016-09-05T15:00:00Z</dc:date>
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