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Matsuo K, Tanabe K, Hayashi M, Ikeda M, Yasaka M, Machida H, Shida M, Sato K, Yoshida H, Hirasawa T, Imanishi T, Mikami M. Utility of Comprehensive Serum Glycopeptide Spectra Analysis (CSGSA) for the Detection of Early Stage Epithelial Ovarian Cancer. Cancers (Basel) 2020; 12:cancers12092374. [PMID: 32825727 PMCID: PMC7563232 DOI: 10.3390/cancers12092374] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 08/12/2020] [Accepted: 08/18/2020] [Indexed: 11/16/2022] Open
Abstract
Comprehensive serum glycopeptide spectra analysis (CSGSA) evaluates >10,000 serum glycopeptides and identifies unique glycopeptide peaks and patterns via supervised orthogonal partial least-squares discriminant modeling. CSGSA was more accurate than cancer antigen 125 (CA125) or human epididymis protein 4 (HE4) for detecting early stage epithelial ovarian cancer. Combined CSGSA, CA125, and HE4 had improved diagnostic performance. Thus, CSGSA may be a useful screening tool for detecting early stage epithelial ovarian cancer.
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Affiliation(s)
- Koji Matsuo
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA 90033, USA;
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
| | - Kazuhiro Tanabe
- Medical Solution Promotion Department, LSI Medience Corporation, Tokyo 1748555, Japan;
| | - Masaru Hayashi
- Department of Obstetrics and Gynecology, Tokai University School of Medicine, Kanagawa 2591193, Japan; (M.H.); (M.I.); (M.Y.); (H.M.); (M.S.); (K.S.); (H.Y.); (T.H.)
| | - Masae Ikeda
- Department of Obstetrics and Gynecology, Tokai University School of Medicine, Kanagawa 2591193, Japan; (M.H.); (M.I.); (M.Y.); (H.M.); (M.S.); (K.S.); (H.Y.); (T.H.)
| | - Miwa Yasaka
- Department of Obstetrics and Gynecology, Tokai University School of Medicine, Kanagawa 2591193, Japan; (M.H.); (M.I.); (M.Y.); (H.M.); (M.S.); (K.S.); (H.Y.); (T.H.)
| | - Hiroko Machida
- Department of Obstetrics and Gynecology, Tokai University School of Medicine, Kanagawa 2591193, Japan; (M.H.); (M.I.); (M.Y.); (H.M.); (M.S.); (K.S.); (H.Y.); (T.H.)
| | - Masako Shida
- Department of Obstetrics and Gynecology, Tokai University School of Medicine, Kanagawa 2591193, Japan; (M.H.); (M.I.); (M.Y.); (H.M.); (M.S.); (K.S.); (H.Y.); (T.H.)
| | - Kenji Sato
- Department of Obstetrics and Gynecology, Tokai University School of Medicine, Kanagawa 2591193, Japan; (M.H.); (M.I.); (M.Y.); (H.M.); (M.S.); (K.S.); (H.Y.); (T.H.)
| | - Hiroshi Yoshida
- Department of Obstetrics and Gynecology, Tokai University School of Medicine, Kanagawa 2591193, Japan; (M.H.); (M.I.); (M.Y.); (H.M.); (M.S.); (K.S.); (H.Y.); (T.H.)
| | - Takeshi Hirasawa
- Department of Obstetrics and Gynecology, Tokai University School of Medicine, Kanagawa 2591193, Japan; (M.H.); (M.I.); (M.Y.); (H.M.); (M.S.); (K.S.); (H.Y.); (T.H.)
| | - Tadashi Imanishi
- Department of Molecular Life Science, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, Kanagawa 2591193, Japan;
| | - Mikio Mikami
- Department of Obstetrics and Gynecology, Tokai University School of Medicine, Kanagawa 2591193, Japan; (M.H.); (M.I.); (M.Y.); (H.M.); (M.S.); (K.S.); (H.Y.); (T.H.)
- Correspondence: ; Tel.: +81-463-93-1121; Fax: +81-463-91-4343
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Comprehensive Serum Glycopeptide Spectra Analysis Combined with Artificial Intelligence (CSGSA-AI) to Diagnose Early-Stage Ovarian Cancer. Cancers (Basel) 2020; 12:cancers12092373. [PMID: 32825730 PMCID: PMC7563497 DOI: 10.3390/cancers12092373] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 08/08/2020] [Accepted: 08/18/2020] [Indexed: 12/31/2022] Open
Abstract
Ovarian cancer is a leading cause of deaths among gynecological cancers, and a method to detect early-stage epithelial ovarian cancer (EOC) is urgently needed. We aimed to develop an artificial intelligence (AI)-based comprehensive serum glycopeptide spectra analysis (CSGSA-AI) method in combination with convolutional neural network (CNN) to detect aberrant glycans in serum samples of patients with EOC. We converted serum glycopeptide expression patterns into two-dimensional (2D) barcodes to let CNN learn and distinguish between EOC and non-EOC. CNN was trained using 60% samples and validated using 40% samples. We observed that principal component analysis-based alignment of glycopeptides to generate 2D barcodes significantly increased the diagnostic accuracy (88%) of the method. When CNN was trained with 2D barcodes colored on the basis of serum levels of CA125 and HE4, a diagnostic accuracy of 95% was achieved. We believe that this simple and low-cost method will increase the detection of EOC.
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Zhang X, Yang X, Chen M, Zheng S, Li J, Lin S, Wang X. ST3Gal3 confers paclitaxel‑mediated chemoresistance in ovarian cancer cells by attenuating caspase‑8/3 signaling. Mol Med Rep 2019; 20:4499-4506. [PMID: 31702036 PMCID: PMC6797938 DOI: 10.3892/mmr.2019.10712] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Accepted: 08/08/2019] [Indexed: 12/14/2022] Open
Abstract
The aberrant expression of sialyltransferase has a role in cell differentiation, neoplastic transformation and the progression of various types of cancer. Our previous studies have shown that high expression of β-galactoside-α2,3-sialyltransferase III (ST3Gal3) in the metastatic ovarian cancer cell line HO8910PM attenuated cisplatin-induced apoptosis. The present study demonstrated that paclitaxel-induced chemoresistance in ovarian cancer cells upregulated the expression of ST3Gal3 and reduced the activity of caspase-8/3. The results of the present study revealed that the endogenous levels of ST3Gal3 mRNA and protein were significantly higher in HO8910PM cells compared with SKOV3 cells. A higher expression of ST3Gal3 was correlated with an increased resistance to paclitaxel, while the downregulation of ST3Gal3 resulted in paclitaxel-induced apoptosis. Paclitaxel upregulated ST3Gal3 expression at the mRNA and protein levels in HO8910PM cells, but not in SKOV3 cells. Silencing of ST3Gal3 by small interfering RNA reversed these effects and increased the protein levels of caspase-8/3, which may contribute to paclitaxel-induced apoptosis. The results of the present study suggested that ST3Gal3 was a target for paclitaxel-related resistance during ovarian cancer chemotherapy.
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Affiliation(s)
- Xian Zhang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong 510630, P.R. China
| | - Xinying Yang
- Guangdong Second People's Hospital, Guangzhou, Guangdong 510317, P.R. China
| | - Ming Chen
- Department of Obstetrics and Gynecology, The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong 510630, P.R. China
| | - Shaolie Zheng
- Department of Obstetrics and Gynecology, The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong 510630, P.R. China
| | - Jinyuan Li
- Institute of Clinical Medicine, The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong 510630, P.R. China
| | - Shaoqiang Lin
- Institute of Clinical Medicine, The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong 510630, P.R. China
| | - Xiaoyu Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong 510630, P.R. China
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