Mass spectrometric profiling reveals association of -glycan patterns with epithelial ovarian cancer progression
Aberrant changes of N -glycan modifications on proteins have been linked to various diseases including different cancers, suggesting possible avenue for exploring their etiologies based on N -glycomic analysis. Changes in N -glycan patterns during epithelial ovarian cancer development have so far be...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2017-07-01
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| Series: | Tumor Biology |
| Online Access: | https://doi.org/10.1177/1010428317716249 |
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| author | Huanhuan Chen Zaian Deng Chuncui Huang Hongmei Wu Xia Zhao Yan Li |
| author_facet | Huanhuan Chen Zaian Deng Chuncui Huang Hongmei Wu Xia Zhao Yan Li |
| author_sort | Huanhuan Chen |
| collection | DOAJ |
| description | Aberrant changes of N -glycan modifications on proteins have been linked to various diseases including different cancers, suggesting possible avenue for exploring their etiologies based on N -glycomic analysis. Changes in N -glycan patterns during epithelial ovarian cancer development have so far been investigated mainly using serum, plasma, ascites, and cell lines. However, changes in patterns of N -glycans in tumor tissues during epithelial ovarian cancer progression have remained largely undefined. To investigate whether changes in N -glycan patterns correlate with oncogenesis and progression of epithelial ovarian cancer, we profiled N -glycans from formalin-fixed paraffin-embedded tissue slides using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and quantitatively compared among different pathological grades of epithelial ovarian cancer and healthy controls. Our results show that among the 80 compositions of N -glycan detected, expression levels of high-mannose type were higher in epithelial ovarian cancer samples than that observed in healthy controls, accompanied by reduced levels of hybrid-type glycans. By applying receiver operating characteristic analysis, we show that a combined panel composed of four high-mannose and three fucosylated neutral complex N -glycans allows for good discrimination of epithelial ovarian cancer from healthy controls. Furthermore, using a statistical analysis of variance assay, we found that different N -glycan patterns, including 2 high-mannose-type, 2 fucosylated and sialylated complex structures, and 10 fucosylated neutral complex N -glycans, exhibited specific changes in N -glycan abundance across epithelial ovarian cancer grades. Together, our results provide strong evidence that N -glycomic changes are a strong indicator for epithelial ovarian cancer pathological grades and should provide avenues to identify novel biomarkers for epithelial ovarian cancer diagnosis and monitoring. |
| format | Article |
| id | doaj-art-987d2c7b0774496c90a99ae2a3284fe2 |
| institution | Kabale University |
| issn | 1423-0380 |
| language | English |
| publishDate | 2017-07-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Tumor Biology |
| spelling | doaj-art-987d2c7b0774496c90a99ae2a3284fe22025-08-20T03:56:55ZengSAGE PublishingTumor Biology1423-03802017-07-013910.1177/1010428317716249Mass spectrometric profiling reveals association of -glycan patterns with epithelial ovarian cancer progressionHuanhuan Chen0Zaian Deng1Chuncui Huang2Hongmei Wu3Xia Zhao4Yan Li5Key Laboratory of Marine Drugs, Ministry of Education, Shandong Provincial Key Laboratory of Glycoscience and Glycoengineering, School of Medicine and Pharmacy, Ocean University of China, Qingdao, ChinaInstitute of Biophysics, Chinese Academy of Sciences, Beijing, ChinaInstitute of Biophysics, Chinese Academy of Sciences, Beijing, ChinaGuangDong Bio-Healtech Advanced Co., Ltd, Foshan, ChinaQingdao National Laboratory for Marine Science and Technology, Qingdao, ChinaUniversity of Chinese Academy of Sciences, Beijing, ChinaAberrant changes of N -glycan modifications on proteins have been linked to various diseases including different cancers, suggesting possible avenue for exploring their etiologies based on N -glycomic analysis. Changes in N -glycan patterns during epithelial ovarian cancer development have so far been investigated mainly using serum, plasma, ascites, and cell lines. However, changes in patterns of N -glycans in tumor tissues during epithelial ovarian cancer progression have remained largely undefined. To investigate whether changes in N -glycan patterns correlate with oncogenesis and progression of epithelial ovarian cancer, we profiled N -glycans from formalin-fixed paraffin-embedded tissue slides using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and quantitatively compared among different pathological grades of epithelial ovarian cancer and healthy controls. Our results show that among the 80 compositions of N -glycan detected, expression levels of high-mannose type were higher in epithelial ovarian cancer samples than that observed in healthy controls, accompanied by reduced levels of hybrid-type glycans. By applying receiver operating characteristic analysis, we show that a combined panel composed of four high-mannose and three fucosylated neutral complex N -glycans allows for good discrimination of epithelial ovarian cancer from healthy controls. Furthermore, using a statistical analysis of variance assay, we found that different N -glycan patterns, including 2 high-mannose-type, 2 fucosylated and sialylated complex structures, and 10 fucosylated neutral complex N -glycans, exhibited specific changes in N -glycan abundance across epithelial ovarian cancer grades. Together, our results provide strong evidence that N -glycomic changes are a strong indicator for epithelial ovarian cancer pathological grades and should provide avenues to identify novel biomarkers for epithelial ovarian cancer diagnosis and monitoring.https://doi.org/10.1177/1010428317716249 |
| spellingShingle | Huanhuan Chen Zaian Deng Chuncui Huang Hongmei Wu Xia Zhao Yan Li Mass spectrometric profiling reveals association of -glycan patterns with epithelial ovarian cancer progression Tumor Biology |
| title | Mass spectrometric profiling reveals association of -glycan patterns with epithelial ovarian cancer progression |
| title_full | Mass spectrometric profiling reveals association of -glycan patterns with epithelial ovarian cancer progression |
| title_fullStr | Mass spectrometric profiling reveals association of -glycan patterns with epithelial ovarian cancer progression |
| title_full_unstemmed | Mass spectrometric profiling reveals association of -glycan patterns with epithelial ovarian cancer progression |
| title_short | Mass spectrometric profiling reveals association of -glycan patterns with epithelial ovarian cancer progression |
| title_sort | mass spectrometric profiling reveals association of glycan patterns with epithelial ovarian cancer progression |
| url | https://doi.org/10.1177/1010428317716249 |
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