Mass Spectrometry-Based Proteomic Discovery of Prognostic Biomarkers in Adrenal Cortical Carcinoma
Adrenal cortical carcinoma (ACC) is an extremely rare disease with a variable prognosis. Current prognostic markers have limitations in identifying patients with a poor prognosis. Herein, we aimed to investigate the prognostic protein biomarkers of ACC using mass-spectrometry-based proteomics. We pe...
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| Format: | Article |
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MDPI AG
2021-08-01
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| Series: | Cancers |
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| Online Access: | https://www.mdpi.com/2072-6694/13/15/3890 |
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| author | Han Na Jang Sun Joon Moon Kyeong Cheon Jung Sang Wan Kim Hyeyoon Kim Dohyun Han Jung Hee Kim |
| author_facet | Han Na Jang Sun Joon Moon Kyeong Cheon Jung Sang Wan Kim Hyeyoon Kim Dohyun Han Jung Hee Kim |
| author_sort | Han Na Jang |
| collection | DOAJ |
| description | Adrenal cortical carcinoma (ACC) is an extremely rare disease with a variable prognosis. Current prognostic markers have limitations in identifying patients with a poor prognosis. Herein, we aimed to investigate the prognostic protein biomarkers of ACC using mass-spectrometry-based proteomics. We performed the liquid chromatography–tandem mass spectrometry (LC–MS/MS) using formalin-fixed paraffin-embedded (FFPE) tissues of 45 adrenal tumors. Then, we selected 117 differentially expressed proteins (DEPs) among tumors with different stages using the machine learning algorithm. Next, we conducted a survival analysis to assess whether the levels of DEPs were related to survival. Among 117 DEPs, HNRNPA1, C8A, CHMP6, LTBP4, SPR, NCEH1, MRPS23, POLDIP2, and WBSCR16 were significantly correlated with the survival of ACC. In age- and stage-adjusted Cox proportional hazard regression models, only HNRNPA1, LTBP4, MRPS23, POLDIP2, and WBSCR16 expression remained significant. These five proteins were also validated in TCGA data as the prognostic biomarkers. In this study, we found that HNRNPA1, LTBP4, MRPS23, POLDIP2, and WBSCR16 were protein biomarkers for predicting the prognosis of ACC. |
| first_indexed | 2024-03-10T09:16:52Z |
| format | Article |
| id | doaj.art-3ee51c084291410a9292b82e0ed4d7ca |
| institution | Directory Open Access Journal |
| issn | 2072-6694 |
| language | English |
| last_indexed | 2024-03-10T09:16:52Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cancers |
| spelling | doaj.art-3ee51c084291410a9292b82e0ed4d7ca2023-11-22T05:29:33ZengMDPI AGCancers2072-66942021-08-011315389010.3390/cancers13153890Mass Spectrometry-Based Proteomic Discovery of Prognostic Biomarkers in Adrenal Cortical CarcinomaHan Na Jang0Sun Joon Moon1Kyeong Cheon Jung2Sang Wan Kim3Hyeyoon Kim4Dohyun Han5Jung Hee Kim6Department of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, KoreaDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, KoreaDepartment of Pathology, Seoul National University College of Medicine, Seoul 03080, KoreaDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, KoreaProteomics Core Facility, Biomedical Research Institute Seoul National University Hospital, Seoul 03080, KoreaProteomics Core Facility, Biomedical Research Institute Seoul National University Hospital, Seoul 03080, KoreaDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, KoreaAdrenal cortical carcinoma (ACC) is an extremely rare disease with a variable prognosis. Current prognostic markers have limitations in identifying patients with a poor prognosis. Herein, we aimed to investigate the prognostic protein biomarkers of ACC using mass-spectrometry-based proteomics. We performed the liquid chromatography–tandem mass spectrometry (LC–MS/MS) using formalin-fixed paraffin-embedded (FFPE) tissues of 45 adrenal tumors. Then, we selected 117 differentially expressed proteins (DEPs) among tumors with different stages using the machine learning algorithm. Next, we conducted a survival analysis to assess whether the levels of DEPs were related to survival. Among 117 DEPs, HNRNPA1, C8A, CHMP6, LTBP4, SPR, NCEH1, MRPS23, POLDIP2, and WBSCR16 were significantly correlated with the survival of ACC. In age- and stage-adjusted Cox proportional hazard regression models, only HNRNPA1, LTBP4, MRPS23, POLDIP2, and WBSCR16 expression remained significant. These five proteins were also validated in TCGA data as the prognostic biomarkers. In this study, we found that HNRNPA1, LTBP4, MRPS23, POLDIP2, and WBSCR16 were protein biomarkers for predicting the prognosis of ACC.https://www.mdpi.com/2072-6694/13/15/3890adrenal cortical carcinomaprognosisproteomicsmass spectrometryHNRNPA1 |
| spellingShingle | Han Na Jang Sun Joon Moon Kyeong Cheon Jung Sang Wan Kim Hyeyoon Kim Dohyun Han Jung Hee Kim Mass Spectrometry-Based Proteomic Discovery of Prognostic Biomarkers in Adrenal Cortical Carcinoma Cancers adrenal cortical carcinoma prognosis proteomics mass spectrometry HNRNPA1 |
| title | Mass Spectrometry-Based Proteomic Discovery of Prognostic Biomarkers in Adrenal Cortical Carcinoma |
| title_full | Mass Spectrometry-Based Proteomic Discovery of Prognostic Biomarkers in Adrenal Cortical Carcinoma |
| title_fullStr | Mass Spectrometry-Based Proteomic Discovery of Prognostic Biomarkers in Adrenal Cortical Carcinoma |
| title_full_unstemmed | Mass Spectrometry-Based Proteomic Discovery of Prognostic Biomarkers in Adrenal Cortical Carcinoma |
| title_short | Mass Spectrometry-Based Proteomic Discovery of Prognostic Biomarkers in Adrenal Cortical Carcinoma |
| title_sort | mass spectrometry based proteomic discovery of prognostic biomarkers in adrenal cortical carcinoma |
| topic | adrenal cortical carcinoma prognosis proteomics mass spectrometry HNRNPA1 |
| url | https://www.mdpi.com/2072-6694/13/15/3890 |
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