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For: Pan J, Hu Y, Sun S, Chen L, Schnaubelt M, Clark D, Ao M, Zhang Z, Chan D, Qian J, Zhang H. Glycoproteomics-based signatures for tumor subtyping and clinical outcome prediction of high-grade serous ovarian cancer. Nat Commun 2020;11:6139. [PMID: 33262351 DOI: 10.1038/s41467-020-19976-3] [Cited by in Crossref: 15] [Cited by in F6Publishing: 13] [Article Influence: 7.5] [Reference Citation Analysis]
Number Citing Articles
1 Xu Z, Zhang Y, Ocansey DKW, Wang B, Mao F. Glycosylation in Cervical Cancer: New Insights and Clinical Implications. Front Oncol 2021;11:706862. [PMID: 34485140 DOI: 10.3389/fonc.2021.706862] [Reference Citation Analysis]
2 Fan Z, Liu T, Zheng F, Qin W, Qian X. An Ultrafast N-Glycoproteome Analysis Method Using Thermoresponsive Magnetic Fluid-Immobilized Enzymes. Front Chem 2021;9:676100. [PMID: 33981677 DOI: 10.3389/fchem.2021.676100] [Reference Citation Analysis]
3 Luo B, Li G, Li Z, He J, Zhou J, Wu L, Lan F, Wu Y. Construction of a magnetic covalent organic framework with synergistic affinity strategy for enhanced glycopeptide enrichment. J Mater Chem B 2021;9:6377-86. [PMID: 34296732 DOI: 10.1039/d1tb01168e] [Reference Citation Analysis]
4 Shen L, Zhan X, Angeloni C. Mitochondrial Dysfunction Pathway Alterations Offer Potential Biomarkers and Therapeutic Targets for Ovarian Cancer. Oxidative Medicine and Cellular Longevity 2022;2022:1-22. [DOI: 10.1155/2022/5634724] [Reference Citation Analysis]
5 Maiorano BA, Maiorano MFP, Lorusso D, Maiello E. Ovarian Cancer in the Era of Immune Checkpoint Inhibitors: State of the Art and Future Perspectives. Cancers (Basel) 2021;13:4438. [PMID: 34503248 DOI: 10.3390/cancers13174438] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Blšákova A, Květoň F, Lorencová L, Blixt O, Vikartovská A, Kasak P, Tkac J. Amplified suspension magnetic bead-based assay for sensitive detection of anti-glycan antibodies as potential cancer biomarkers. Analytica Chimica Acta 2022;1195:339444. [DOI: 10.1016/j.aca.2022.339444] [Reference Citation Analysis]
7 Dong M, Lih TM, Ao M, Hu Y, Chen SY, Eguez RV, Zhang H. Data-Independent Acquisition-Based Mass Spectrometry (DIA-MS) for Quantitative Analysis of Intact N-Linked Glycopeptides. Anal Chem 2021;93:13774-82. [PMID: 34622651 DOI: 10.1021/acs.analchem.1c01659] [Reference Citation Analysis]
8 Berghuis AY, Pijnenborg JFA, Boltje TJ, Pijnenborg JMA. Sialic acids in gynecological cancer development and progression: Impact on diagnosis and treatment. Int J Cancer 2021. [PMID: 34741527 DOI: 10.1002/ijc.33866] [Reference Citation Analysis]
9 Bertok T, Pinkova Gajdosova V, Bertokova A, Svecova N, Kasak P, Tkac J. Breast cancer glycan biomarkers: their link to tumour cell metabolism and their perspectives in clinical practice. Expert Rev Proteomics 2021;:1-30. [PMID: 34711108 DOI: 10.1080/14789450.2021.1996231] [Reference Citation Analysis]
10 Kobayashi Y, Banno K, Aoki D. Current status and future directions of ovarian cancer prognostic models. J Gynecol Oncol 2021;32:e34. [PMID: 33559415 DOI: 10.3802/jgo.2021.32.e34] [Reference Citation Analysis]
11 Loponte HF, Oliveira IA, Rodrigues BC, Nunes-da-Fonseca R, Mohana-Borges R, Alisson-Silva F, Dias WB, Todeschini AR. Hyperglycemia alters N-glycans on colon cancer cells through increased production of activated monosaccharides. Glycoconj J 2022. [PMID: 35380345 DOI: 10.1007/s10719-022-10057-9] [Reference Citation Analysis]
12 Xue VW, Wong SCC, Cho WC. From proteomic landscape to single-cell oncoproteomics. Expert Rev Proteomics 2021;18:1-6. [PMID: 33571016 DOI: 10.1080/14789450.2021.1890036] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 O'sullivan KSW, Vilà‐cabrera A, Chen J, Greenwood S, Chang C, Jump AS. High intraspecific trait variation results in a resource allocation spectrum of a subtropical pine across an elevational gradient. Journal of Biogeography. [DOI: 10.1111/jbi.14336] [Reference Citation Analysis]
14 Kohler I, Verhoeven M, Haselberg R, Gargano AF. Hydrophilic interaction chromatography – mass spectrometry for metabolomics and proteomics: state-of-the-art and current trends. Microchemical Journal 2022;175:106986. [DOI: 10.1016/j.microc.2021.106986] [Reference Citation Analysis]
15 Bradbury M, Borràs E, Pérez-Benavente A, Gil-Moreno A, Santamaria A, Sabidó E. Proteomic Studies on the Management of High-Grade Serous Ovarian Cancer Patients: A Mini-Review. Cancers (Basel) 2021;13:2067. [PMID: 33922979 DOI: 10.3390/cancers13092067] [Reference Citation Analysis]
16 Mani DR, Krug K, Zhang B, Satpathy S, Clauser KR, Ding L, Ellis M, Gillette MA, Carr SA. Cancer proteogenomics: current impact and future prospects. Nat Rev Cancer 2022. [PMID: 35236940 DOI: 10.1038/s41568-022-00446-5] [Reference Citation Analysis]
17 Babu N, Bhat MY, John AE, Chatterjee A. The role of proteomics in the multiplexed analysis of gene alterations in human cancer. Expert Rev Proteomics 2021;18:737-56. [PMID: 34602018 DOI: 10.1080/14789450.2021.1984884] [Reference Citation Analysis]
18 Hires M, Jane E, Kalavska K, Chovanec M, Mego M, Kasak P, Bertok T, Tkac J. Glycan signatures for the identification of cisplatin‐resistant testicular cancer cell lines: Specific glycoprofiling of human chorionic gonadotropin (hCG). Cancer Medicine. [DOI: 10.1002/cam4.4515] [Reference Citation Analysis]
19 Zhao C, Xiong K, Zhao F, Adam A, Li X, Rauf A. Glycosylation-Related Genes Predict the Prognosis and Immune Fraction of Ovarian Cancer Patients Based on Weighted Gene Coexpression Network Analysis (WGCNA) and Machine Learning. Oxidative Medicine and Cellular Longevity 2022;2022:1-23. [DOI: 10.1155/2022/3665617] [Reference Citation Analysis]
20 Chang D, Zaia J. Methods to improve quantitative glycoprotein coverage from bottom‐up LC‐MS data. Mass Spec Rev. [DOI: 10.1002/mas.21692] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
21 Zhang J, Xi J, Huang P, Zeng S. Comprehensive Analysis Identifies Potential Ferroptosis-Associated mRNA Therapeutic Targets in Ovarian Cancer. Front Med (Lausanne) 2021;8:644053. [PMID: 33748162 DOI: 10.3389/fmed.2021.644053] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
22 Zhao Y, Wang M, Meng B, Gao Y, Xue Z, He M, Jiang Y, Dai X, Yan D, Fang X. Identification of Dysregulated Complement Activation Pathways Driven by N-Glycosylation Alterations in T2D Patients. Front Chem 2021;9:677621. [PMID: 34178943 DOI: 10.3389/fchem.2021.677621] [Reference Citation Analysis]
23 Yan T, Ma X, Hu H, Gong Z, Zheng H, Xie S, Guo L, Lu R. Serology-Based Model for Personalized Epithelial Ovarian Cancer Risk Evaluation. Current Oncology 2022;29:2695-705. [DOI: 10.3390/curroncol29040220] [Reference Citation Analysis]
24 Fang P, Ji Y, Silbern I, Viner R, Oellerich T, Pan KT, Urlaub H. Evaluation and Optimization of High-Field Asymmetric Waveform Ion-Mobility Spectrometry for Multiplexed Quantitative Site-Specific N-Glycoproteomics. Anal Chem 2021. [PMID: 34133129 DOI: 10.1021/acs.analchem.1c00802] [Reference Citation Analysis]
25 Chen W, Guo Z, Yu H, Liu Q, Fu M. Molecularly imprinted colloidal array with multi-boronic acid sites for glycoprotein detection under neutral pH. J Colloid Interface Sci 2022;607:1163-72. [PMID: 34571303 DOI: 10.1016/j.jcis.2021.09.048] [Reference Citation Analysis]
26 Mukherjee S, Sundfeldt K, Borrebaeck CAK, Jakobsson ME. Comprehending the Proteomic Landscape of Ovarian Cancer: A Road to the Discovery of Disease Biomarkers. Proteomes 2021;9:25. [PMID: 34070600 DOI: 10.3390/proteomes9020025] [Reference Citation Analysis]
27 Liu M, Zheng Q, Chen S, Liu J, Li S. FUT7 Promotes the Epithelial-Mesenchymal Transition and Immune Infiltration in Bladder Urothelial Carcinoma. J Inflamm Res 2021;14:1069-84. [PMID: 33790621 DOI: 10.2147/JIR.S296597] [Cited by in F6Publishing: 1] [Reference Citation Analysis]