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Hořejší K, Jin C, Vaňková Z, Jirásko R, Strouhal O, Melichar B, Teneberg S, Holčapek M. Comprehensive characterization of complex glycosphingolipids in human pancreatic cancer tissues. J Biol Chem 2023; 299:102923. [PMID: 36681125 PMCID: PMC9976472 DOI: 10.1016/j.jbc.2023.102923] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 01/03/2023] [Accepted: 01/04/2023] [Indexed: 01/20/2023] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is one of the most common causes of cancer-related deaths worldwide, accounting for 90% of primary pancreatic tumors with an average 5-year survival rate of less than 10%. PDAC exhibits aggressive biology, which, together with late detection, results in most PDAC patients presenting with unresectable, locally advanced, or metastatic disease. In-depth lipid profiling and screening of potential biomarkers currently appear to be a promising approach for early detection of PDAC or other cancers. Here, we isolated and characterized complex glycosphingolipids (GSL) from normal and tumor pancreatic tissues of patients with PDAC using a combination of TLC, chemical staining, carbohydrate-recognized ligand-binding assay, and LC/ESI-MS2. The major neutral GSL identified were GSL with the terminal blood groups A, B, H, Lea, Leb, Lex, Ley, P1, and PX2 determinants together with globo- (Gb3 and Gb4) and neolacto-series GSL (nLc4 and nLc6). We also revealed that the neutral GSL profiles and their relative amounts differ between normal and tumor tissues. Additionally, the normal and tumor pancreatic tissues differ in type 1/2 core chains. Sulfatides and GM3 gangliosides were the predominant acidic GSL along with the minor sialyl-nLc4/nLc6 and sialyl-Lea/Lex. The comprehensive analysis of GSL in human PDAC tissues extends the GSL coverage and provides an important platform for further studies of GSL alterations; therefore, it could contribute to the development of new biomarkers and therapeutic approaches.
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Affiliation(s)
- Karel Hořejší
- University of Pardubice, Faculty of Chemical Technology, Department of Analytical Chemistry, , Pardubice, Czech Republic; University of South Bohemia in České Budějovice, Faculty of Science, Department of Chemistry, České Budějovice, Czech Republic
| | - Chunsheng Jin
- University of Gothenburg, Sahlgrenska Academy, Proteomics Core Facility, Göteborg, Sweden
| | - Zuzana Vaňková
- University of Pardubice, Faculty of Chemical Technology, Department of Analytical Chemistry, , Pardubice, Czech Republic
| | - Robert Jirásko
- University of Pardubice, Faculty of Chemical Technology, Department of Analytical Chemistry, , Pardubice, Czech Republic
| | - Ondřej Strouhal
- Palacký University Olomouc, Faculty of Medicine and Dentistryand University Hospital, Department of Oncology, Olomouc, Czech Republic
| | - Bohuslav Melichar
- Palacký University Olomouc, Faculty of Medicine and Dentistryand University Hospital, Department of Oncology, Olomouc, Czech Republic
| | - Susann Teneberg
- University of Gothenburg, Sahlgrenska Academy, Institute of Biomedicine, Department of Medical Biochemistry and Cell Biology, Göteborg, Sweden.
| | - Michal Holčapek
- University of Pardubice, Faculty of Chemical Technology, Department of Analytical Chemistry, , Pardubice, Czech Republic.
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Barrientos RC, Zhang Q. Recent advances in the mass spectrometric analysis of glycosphingolipidome - A review. Anal Chim Acta 2020; 1132:134-155. [PMID: 32980104 PMCID: PMC7525043 DOI: 10.1016/j.aca.2020.05.051] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 05/17/2020] [Accepted: 05/21/2020] [Indexed: 12/30/2022]
Abstract
Aberrant expression of glycosphingolipids has been implicated in a myriad of diseases, but our understanding of the strucural diversity, spatial distribution, and biological function of this class of biomolecules remains limited. These challenges partly stem from a lack of sensitive tools that can detect, identify, and quantify glycosphingolipids at the molecular level. Mass spectrometry has emerged as a powerful tool poised to address most of these challenges. Here, we review the recent developments in analytical glycosphingolipidomics with an emphasis on sample preparation, mass spectrometry and tandem mass spectrometry-based structural characterization, label-free and labeling-based quantification. We also discuss the nomenclature of glycosphingolipids, and emerging technologies like ion mobility spectrometry in differentiation of glycosphingolipid isomers. The intrinsic advantages and shortcomings of each method are carefully critiqued in line with an individual's research goals. Finally, future perspectives on analytical sphingolipidomics are stated, including a need for novel and more sensive methods in isomer separation, low abundance species detection, and profiling the spatial distribution of glycosphingolipid molecular species in cells and tissues using imaging mass spectrometry.
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Affiliation(s)
- Rodell C Barrientos
- Department of Chemistry and Biochemistry, The University of North Carolina at Greensboro, Greensboro, NC, 27412, United States; UNCG Center for Translational Biomedical Research, NC Research Campus, Kannapolis, NC, 28081, United States
| | - Qibin Zhang
- Department of Chemistry and Biochemistry, The University of North Carolina at Greensboro, Greensboro, NC, 27412, United States; UNCG Center for Translational Biomedical Research, NC Research Campus, Kannapolis, NC, 28081, United States.
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3
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Tokareva AO, Chagovets VV, Starodubtseva NL, Nazarova NM, Nekrasova ME, Kononikhin AS, Frankevich VE, Nikolaev EN, Sukhikh GT. Feature selection for OPLS discriminant analysis of cancer tissue lipidomics data. JOURNAL OF MASS SPECTROMETRY : JMS 2020; 55:e4457. [PMID: 31661719 DOI: 10.1002/jms.4457] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 10/03/2019] [Accepted: 10/12/2019] [Indexed: 06/10/2023]
Abstract
The mass spectrometry-based molecular profiling can be used for better differentiation between normal and cancer tissues and for the detection of neoplastic transformation, which is of great importance for diagnostics of a pathology, prognosis of its evolution trend, and development of a treatment strategy. The aim of the present study is the evaluation of tissue classification approaches based on various data sets derived from the molecular profile of the organic solvent extracts of a tissue. A set of possibilities are considered for the orthogonal projections to latent structures discriminant analysis: all mass spectrometric peaks over 300 counts threshold, subset of peaks selected by ranking with support vector machine algorithm, peaks selected by random forest algorithm, peaks with the statistically significant difference of the intensity determined by the Mann-Whitney U test, peaks identified as lipids, and both identified and significantly different peaks. The best predictive potential is obtained for OPLS-DA model built on nonpolar glycerolipids (Q2 = 0.64, area under curve [AUC] = 0.95); the second one is OPLS-DA model with lipid peaks selected by random forest algorithm (Q2 = 0.58, AUC = 0.87). Moreover, models based on particular molecular classes are more preferable from biological point of view, resulting in new explanatory mechanisms of pathophysiology and providing a pathway analysis. Another promising features for OPLS-DA modeling are phosphatidylethanolamines (Q2 = 0.48, AUC = 0.86).
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Affiliation(s)
- Alisa O Tokareva
- Department of molecular and chemical physics, Moscow Institute of Physics and Technology, Moscow, Russia
- V.L. Talrose Institute for Energy Problems of Chemical Physics, N.N. Semenov Federal Center of Chemical Physic, Russian Academy of Sciences, Moscow, Russia
| | - Vitaliy V Chagovets
- National Medical Research Center for Obstetrics, Laboratory of Proteomics and Metabolomics, VI Kulakov Federal Research Center of Obstetrics Gynecology and Perinatology, Moscow, Russia
| | - Natalia L Starodubtseva
- National Medical Research Center for Obstetrics, Laboratory of Proteomics and Metabolomics, VI Kulakov Federal Research Center of Obstetrics Gynecology and Perinatology, Moscow, Russia
| | - Niso M Nazarova
- National Medical Research Center for Obstetrics, Laboratory of Proteomics and Metabolomics, VI Kulakov Federal Research Center of Obstetrics Gynecology and Perinatology, Moscow, Russia
| | - Maria E Nekrasova
- National Medical Research Center for Obstetrics, Laboratory of Proteomics and Metabolomics, VI Kulakov Federal Research Center of Obstetrics Gynecology and Perinatology, Moscow, Russia
| | - Alexey S Kononikhin
- Department of molecular and chemical physics, Moscow Institute of Physics and Technology, Moscow, Russia
- CDISE, Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Vladimir E Frankevich
- National Medical Research Center for Obstetrics, Laboratory of Proteomics and Metabolomics, VI Kulakov Federal Research Center of Obstetrics Gynecology and Perinatology, Moscow, Russia
| | - Evgeny N Nikolaev
- V.L. Talrose Institute for Energy Problems of Chemical Physics, N.N. Semenov Federal Center of Chemical Physic, Russian Academy of Sciences, Moscow, Russia
- CDISE, Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Gennady T Sukhikh
- National Medical Research Center for Obstetrics, Laboratory of Proteomics and Metabolomics, VI Kulakov Federal Research Center of Obstetrics Gynecology and Perinatology, Moscow, Russia
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Du H, Yu H, Ma T, Yang F, Jia L, Zhang C, Zhang J, Niu L, Yang J, Zhang Z, Zhang K, Li Z. Analysis of Glycosphingolipid Glycans by Lectin Microarrays. Anal Chem 2019; 91:10663-10671. [PMID: 31353882 DOI: 10.1021/acs.analchem.9b01945] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Glycosphingolipids (GSLs) are ubiquitous glycoconjugates of cell membranes. Identification of unknown GSL-glycan structures is still a major challenge. To address this challenge, we developed a novel strategy for analysis of GSL-glycans from cultured cells based on a lectin microarray that can directly detect and reveal glycopatterns of GSL extracts without the need for glycan release. There were six steps to perform the analysis of GSL-glycans: (i) extraction of GSLs from cell pellets, (ii) quantification of GSL-glycans using orcinol-sulfuric acid reaction, (iii) preparation of lyso-GSLs by using sphingolipid ceramide N-deacylase, (iv) fluorescence labeling of lyso-GSLs, (v) detection by a lectin microarray, (vi) data acquisition and analysis. Simultaneously, a supplementary verification analysis for GSL-glycans was performed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Optimized experimental conditions, which consisted of the blocking buffer, incubation buffer, and appropriate GSL concentration, were investigated by analyzing the glycopatterns of a standard ganglioside (GM1a) via lectin microarray. The analysis of GSL-glycans from human hepatocarcinoma cell lines (MHCC97L, MHCC97H, and HCCLM3) showed that there were 27 lectins (e.g., WFA, MAL-II, and LTL) to give significantly different signals compared with a normal human liver cell line (HL-7702), indicating up- and/or down-regulations of corresponding glycopatterns such as α1-2 fucosylation and α2-3 sialylation, and changes of certain glycostructures such as Galβ1-3GalNAcβ1-4(NeuAcα2-3)Galβ1-4Glc:Cer and GalNAcα1-3(Fucα1-2)Galβ1-3GlcNAcβ1-3Galβ1-4Glc:Cer. The lectin microarray analysis of lyso-GSLs labeled by fluorescence has proven to be credible, which can provide the glycopatterns and detailed linkage information on GSL-glycans.
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Affiliation(s)
- Haoqi Du
- Laboratory for Functional Glycomics, College of Life Sciences , Northwest University , Xi'an , China
| | - Hanjie Yu
- Laboratory for Functional Glycomics, College of Life Sciences , Northwest University , Xi'an , China
| | - Tianran Ma
- Laboratory for Functional Glycomics, College of Life Sciences , Northwest University , Xi'an , China
| | - Fuquan Yang
- Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics , Chinese Academy of Sciences , Beijing , China
| | - Liyuan Jia
- Laboratory for Functional Glycomics, College of Life Sciences , Northwest University , Xi'an , China
| | - Chen Zhang
- Laboratory for Functional Glycomics, College of Life Sciences , Northwest University , Xi'an , China
| | - Jiaxu Zhang
- Laboratory for Functional Glycomics, College of Life Sciences , Northwest University , Xi'an , China
| | - Lili Niu
- Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics , Chinese Academy of Sciences , Beijing , China
| | - Jiajun Yang
- Laboratory for Functional Glycomics, College of Life Sciences , Northwest University , Xi'an , China
| | - Zhiwei Zhang
- Laboratory for Functional Glycomics, College of Life Sciences , Northwest University , Xi'an , China
| | - Kun Zhang
- Laboratory for Functional Glycomics, College of Life Sciences , Northwest University , Xi'an , China
| | - Zheng Li
- Laboratory for Functional Glycomics, College of Life Sciences , Northwest University , Xi'an , China
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Zhou H, Li Q, Wang T, Liang H, Wang Y, Duan Y, Song M, Wang Y, Jin H. Prognostic biomarkers of cervical squamous cell carcinoma identified via plasma metabolomics. Medicine (Baltimore) 2019; 98:e16192. [PMID: 31261558 PMCID: PMC6617423 DOI: 10.1097/md.0000000000016192] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 06/04/2019] [Accepted: 06/05/2019] [Indexed: 12/24/2022] Open
Abstract
Cervical cancer is the second most common female malignancy worldwide. The metabolic profile of plasma associated with the prognosis of cervical cancer remains poorly understood. In this cross-sectional study, plasma samples were collected from three groups of patients with CSCC, namely primary patients before treatment (BT group), patients with a poor prognosis (PP group, including patients with distant metastasis and local recurrence), and patients with a good prognosis within two years after the first treatment (GP group). The plasma metabolomics was conducted to detect the dynamic changes of metabolites via ultra-performance liquid chromatography with quadrupole time-of-flight mass spectrometry. Multivariate analyses, including principle component, partial least square-discriminant, and orthogonal projection to latent structure-discriminant analyses, were performed to compare each pair of the three groups. The differential metabolites were identified by comparison of the exact m/z values and mass spectrometry (MS)/MS spectra with the structural information of the metabolites obtained from the Human Metabolome Database (http://www.hmdb.ca/) and LIPID MAPS (http://www.lipidmaps.org/). To screen for potential markers, receiver operating characteristic curve analysis of the differential metabolites. Finally, thirty plasma samples were collected from each group. Multivariate analyses showed that 31 metabolites were significantly different among the 3 groups studied. Of those, the 5 metabolites phosphatidyl choline (15:0/16:0), phosphatidyl glycerol (12:0/13:0), actosylceramide (d18:1/16:0), D-Maltose, and phthalic acid, with an area under the curve above 0.75, were identified as potential biomarkers. The present findings provide evidence for biomarkers to monitor prognosis of patients with CSCC, which may help in better managing the disease.
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Affiliation(s)
- Huihui Zhou
- Chinese Center for Endemic Disease Control, Harbin Medical University
| | - Qi Li
- Department of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, P.R. China
| | - Tong Wang
- Chinese Center for Endemic Disease Control, Harbin Medical University
| | - Hong Liang
- Chinese Center for Endemic Disease Control, Harbin Medical University
| | - Yanan Wang
- Chinese Center for Endemic Disease Control, Harbin Medical University
| | - Yani Duan
- Chinese Center for Endemic Disease Control, Harbin Medical University
| | - Min Song
- Department of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, P.R. China
| | - Yaoxian Wang
- Department of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, P.R. China
| | - Hong Jin
- Department of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, P.R. China
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Lai TY, Chen IJ, Lin RJ, Liao GS, Yeo HL, Ho CL, Wu JC, Chang NC, Lee ACL, Yu AL. Fucosyltransferase 1 and 2 play pivotal roles in breast cancer cells. Cell Death Discov 2019; 5:74. [PMID: 30854233 PMCID: PMC6403244 DOI: 10.1038/s41420-019-0145-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 01/01/2019] [Accepted: 01/08/2019] [Indexed: 12/15/2022] Open
Abstract
FUT1 and FUT2 encode alpha 1, 2-fucosyltransferases which catalyze the addition of alpha 1, 2-linked fucose to glycans. Glycan products of FUT1 and FUT2, such as Globo H and Lewis Y, are highly expressed on malignant tissues, including breast cancer. Herein, we investigated the roles of FUT1 and FUT2 in breast cancer. Silencing of FUT1 or FUT2 by shRNAs inhibited cell proliferation in vitro and tumorigenicity in mice. This was associated with diminished properties of cancer stem cell (CSC), including mammosphere formation and CSC marker both in vitro and in xenografts. Silencing of FUT2, but not FUT1, significantly changed the cuboidal morphology to dense clusters of small and round cells with reduced adhesion to polystyrene and extracellular matrix, including laminin, fibronectin and collagen. Silencing of FUT1 or FUT2 suppressed cell migration in wound healing assay, whereas FUT1 and FUT2 overexpression increased cell migration and invasion in vitro and metastasis of breast cancer in vivo. A decrease in mesenchymal like markers such as fibronectin, vimentin, and twist, along with increased epithelial like marker, E-cadherin, was observed upon FUT1/2 knockdown, while the opposite was noted by overexpression of FUT1 or FUT2. As expected, FUT1 or FUT2 knockdown reduced Globo H, whereas FUT1 or FUT2 overexpression showed contrary effects. Exogenous addition of Globo H-ceramide reversed the suppression of cell migration by FUT1 knockdown but not the inhibition of cell adhesion by FUT2 silencing, suggesting that at least part of the effects of FUT1/2 knockdown were mediated by Globo H. Our results imply that FUT1 and FUT2 play important roles in regulating growth, adhesion, migration and CSC properties of breast cancer, and may serve as therapeutic targets for breast cancer.
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Affiliation(s)
- Tai-Yu Lai
- Institute of Stem cell and Translational Cancer Research, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - I-Ju Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Ruey-Jen Lin
- Institute of Stem cell and Translational Cancer Research, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Guo-Shiou Liao
- Tri-service General Hospital, Department of Surgery, National Defense Medical Center, Taipei, Taiwan
| | - Hui-Ling Yeo
- Institute of Stem cell and Translational Cancer Research, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Ching-Liang Ho
- Tri-service General Hospital, Department of Surgery, National Defense Medical Center, Taipei, Taiwan
| | - Jen-Chine Wu
- Institute of Stem cell and Translational Cancer Research, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Nai-Chuan Chang
- Institute of Stem cell and Translational Cancer Research, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Andy Chi-Lung Lee
- Institute of Stem cell and Translational Cancer Research, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Alice L. Yu
- Institute of Stem cell and Translational Cancer Research, Chang Gung Memorial Hospital, Linkou, Taiwan
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
- Department of Pediatrics, University of California in San Diego, San Diego, USA
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Ju L, Wang Y, Xie Q, Xu X, Li Y, Chen Z, Li Y. Elevated level of serum glycoprotein bifucosylation and prognostic value in Chinese breast cancer. Glycobiology 2015; 26:460-71. [PMID: 26646445 DOI: 10.1093/glycob/cwv117] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2014] [Accepted: 11/30/2015] [Indexed: 12/14/2022] Open
Abstract
Aberrant glycosylation is highly associated with cancer progression. The aim of this study was to compare bifucosylated N-glycans in sera obtained from healthy controls and breast cancer patients, with the goal of identifying a potential indicator for monitoring the recurrence and metastasis of breast cancer. A unique structural pattern of bifucosylated N-glycan, with both core and antennary fucosylation, was identified in breast cancer patients. The spectrum of antennary fucosylation was a composite of the standard spectra of Lewis X and H2, indicating a mixture of the two epitopes. Permethylated N-glycans of the glycoproteins extracted from 91 breast cancer patients and 43 healthy controls were detected using linear ion-trap quadrupole-electrospray ionization mass spectrometry, which appeared to be a highly sensitive and useful approach in the detection and identification of N-glycans. To evaluate MS profile data, several statistical tools were applied, including Student'st-test, partial least squares discriminant analysis and receiver-operating characteristic curve. The results showed that the measurement of bifucosylation degree and CEA levels had an improved diagnostic performance compared with that of CEA alone. We compared the potential of bifucosylated N-glycan as an indicator of breast cancer recurrence with the current clinical biomarkers, i.e., CEA, CA 15-3 and CA125. The result revealed that, compared with CEA, CA 15-3 and CA125, the bifucosylation degree of N-glycans could be a more reliable indicator of breast cancer recurrence.
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Affiliation(s)
- Linling Ju
- Institutes of Biology and Medical Science, Soochow University, 199 Ren-Ai Road, Suzhou 215123, China
| | - Yanping Wang
- Institutes of Biology and Medical Science, Soochow University, 199 Ren-Ai Road, Suzhou 215123, China
| | - Qing Xie
- Institutes of Biology and Medical Science, Soochow University, 199 Ren-Ai Road, Suzhou 215123, China
| | - Xiukun Xu
- Suzhou Zhongying Medical Sciences and Technologies Company, Suzhou 201203, China
| | - Yong Li
- Suzhou Pharmavan Cancer Research Center Company, Suzhou 201203, China
| | - Zijun Chen
- School of Chinese Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201210, China
| | - Yunsen Li
- Institutes of Biology and Medical Science, Soochow University, 199 Ren-Ai Road, Suzhou 215123, China
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