Identification of potential serum proteomic biomarkers for clear cell renal cell carcinoma.
OBJECTIVE: To investigate discriminating protein patterns and serum biomarkers between clear cell renal cell carcinoma (ccRCC) patients and healthy controls, as well as between paired pre- and post-operative ccRCC patients. METHODS: We used magnetic bead-based separation followed by matrix-assisted...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4219714?pdf=render |
| _version_ | 1811273318328696832 |
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| author | Juan Yang Jin Yang Yan Gao Lingyu Zhao Liying Liu Yannan Qin Xiaofei Wang Tusheng Song Chen Huang |
| author_facet | Juan Yang Jin Yang Yan Gao Lingyu Zhao Liying Liu Yannan Qin Xiaofei Wang Tusheng Song Chen Huang |
| author_sort | Juan Yang |
| collection | DOAJ |
| description | OBJECTIVE: To investigate discriminating protein patterns and serum biomarkers between clear cell renal cell carcinoma (ccRCC) patients and healthy controls, as well as between paired pre- and post-operative ccRCC patients. METHODS: We used magnetic bead-based separation followed by matrix-assisted laser desorption ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS) to identify patients with ccRCC. A total of 162 serum samples were analyzed in this study, among which there were 58 serum samples from ccRCC patients, 40 from additional paired pre- and post-operative ccRCC patients (n = 20), and 64 from healthy volunteers as healthy controls. ClinProTools software identified several distinct markers between ccRCC patients and healthy controls, as well as between pre- and post-operative patients. RESULTS: Patients with ccRCC could be identified with a mean sensitivity of 88.38% and a mean specificity of 91.67%. Of 67 m/z peaks that differed among the ccRCC, healthy controls, pre- and post-operative ccRCC patients, 24 were significantly different (P<0.05). Three candidate peaks, which were upregulated in ccRCC group and showed a tendency to return to healthy control values after surgery, were identified as peptide regions of RNA-binding protein 6 (RBP6), tubulin beta chain (TUBB), and zinc finger protein 3 (ZFP3) with the m/z values of 1466.98, 1618.22, and 5905.23, respectively. CONCLUSION: MB-MALDI-TOF-MS method could generate serum peptidome profiles of ccRCC, and provide a new approach to identify potential biomarkers for diagnosis as well as prognosis of this malignancy. |
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| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-12T22:56:57Z |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
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| series | PLoS ONE |
| spelling | doaj.art-82302d566a67420482295fe376b0c7192022-12-22T03:13:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-01911e11136410.1371/journal.pone.0111364Identification of potential serum proteomic biomarkers for clear cell renal cell carcinoma.Juan YangJin YangYan GaoLingyu ZhaoLiying LiuYannan QinXiaofei WangTusheng SongChen HuangOBJECTIVE: To investigate discriminating protein patterns and serum biomarkers between clear cell renal cell carcinoma (ccRCC) patients and healthy controls, as well as between paired pre- and post-operative ccRCC patients. METHODS: We used magnetic bead-based separation followed by matrix-assisted laser desorption ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS) to identify patients with ccRCC. A total of 162 serum samples were analyzed in this study, among which there were 58 serum samples from ccRCC patients, 40 from additional paired pre- and post-operative ccRCC patients (n = 20), and 64 from healthy volunteers as healthy controls. ClinProTools software identified several distinct markers between ccRCC patients and healthy controls, as well as between pre- and post-operative patients. RESULTS: Patients with ccRCC could be identified with a mean sensitivity of 88.38% and a mean specificity of 91.67%. Of 67 m/z peaks that differed among the ccRCC, healthy controls, pre- and post-operative ccRCC patients, 24 were significantly different (P<0.05). Three candidate peaks, which were upregulated in ccRCC group and showed a tendency to return to healthy control values after surgery, were identified as peptide regions of RNA-binding protein 6 (RBP6), tubulin beta chain (TUBB), and zinc finger protein 3 (ZFP3) with the m/z values of 1466.98, 1618.22, and 5905.23, respectively. CONCLUSION: MB-MALDI-TOF-MS method could generate serum peptidome profiles of ccRCC, and provide a new approach to identify potential biomarkers for diagnosis as well as prognosis of this malignancy.http://europepmc.org/articles/PMC4219714?pdf=render |
| spellingShingle | Juan Yang Jin Yang Yan Gao Lingyu Zhao Liying Liu Yannan Qin Xiaofei Wang Tusheng Song Chen Huang Identification of potential serum proteomic biomarkers for clear cell renal cell carcinoma. PLoS ONE |
| title | Identification of potential serum proteomic biomarkers for clear cell renal cell carcinoma. |
| title_full | Identification of potential serum proteomic biomarkers for clear cell renal cell carcinoma. |
| title_fullStr | Identification of potential serum proteomic biomarkers for clear cell renal cell carcinoma. |
| title_full_unstemmed | Identification of potential serum proteomic biomarkers for clear cell renal cell carcinoma. |
| title_short | Identification of potential serum proteomic biomarkers for clear cell renal cell carcinoma. |
| title_sort | identification of potential serum proteomic biomarkers for clear cell renal cell carcinoma |
| url | http://europepmc.org/articles/PMC4219714?pdf=render |
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