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Tan Y, Zhu J, Gutierrez Reyes CD, Lin Y, Tan Z, Wu Z, Zhang J, Cano A, Verschleisser S, Mechref Y, Singal AG, Parikh ND, Lubman DM. Discovery of Core-Fucosylated Glycopeptides as Diagnostic Biomarkers for Early HCC in Patients with NASH Cirrhosis Using LC-HCD-PRM-MS/MS. ACS OMEGA 2023; 8:12467-12480. [PMID: 37033807 PMCID: PMC10077536 DOI: 10.1021/acsomega.3c00519] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 03/09/2023] [Indexed: 06/19/2023]
Abstract
Aberrant changes in site-specific core fucosylation (CF) of serum proteins contribute to cancer development and progression, which enables them as potential diagnostic markers of tumors. An optimized data-dependent acquisition (DDA) workflow involving isobaric tags for relative and absolute quantitation-labeling and enrichment of CF peptides by lens culinaris lectin was applied to identify CF of serum proteins in a test set of patients with nonalcoholic steatohepatitis (NASH)-related cirrhosis (N = 16) and hepatocellular carcinoma (HCC, N = 17), respectively. A total of 624 CF peptides from 343 proteins, with 683 CF sites, were identified in our DDA-mass spectrometry (MS) analysis. Subsequently, 19 candidate CF peptide markers were evaluated by a target parallel reaction-monitoring-MS workflow in a validation set of 58 patients, including NASH-related cirrhosis (N = 29), early-stage HCC (N = 21), and late-stage HCC (N = 8). Significant changes (p < 0.01) were observed in four CF peptides between cirrhosis and HCC, where peptide LGSFEGLVn160LTFIHLQHNR from LUM in combination with AFP showed the best diagnostic performance in discriminating HCC from cirrhosis, with an area under curve (AUC) of 0.855 compared to AFP only (AUC = 0.717). This peptide in combination with AFP also significantly improved diagnostic performance in distinguishing early HCC from cirrhosis, with an AUC of 0.839 compared to AFP only (AUC = 0.689). Validation of this novel promising biomarker panel in larger cohorts should be performed.
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Affiliation(s)
- Yifei Tan
- Department
of Liver Surgery, Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu 610017, China
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United
States
| | - Jianhui Zhu
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United
States
| | | | - Yu Lin
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United
States
| | - Zhijing Tan
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United
States
| | - Zuowei Wu
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United
States
| | - Jie Zhang
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United
States
| | - Alva Cano
- Department
of Internal Medicine, University of Texas
Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Sara Verschleisser
- Department
of Internal Medicine, University of Texas
Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Yehia Mechref
- Department
of Chemistry and Biochemistry, Texas Tech
University, Lubbock, Texas 79409, United States
| | - Amit G. Singal
- Department
of Internal Medicine, University of Texas
Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Neehar D. Parikh
- Department
of Internal Medicine, University of Michigan
Medical Center, Ann Arbor, Michigan 48109, United States
| | - David M. Lubman
- Department
of Surgery, University of Michigan Medical
Center, Ann Arbor, Michigan 48109, United
States
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Hou Z, Meng C, Yang F, Deng Y, Han X, Liu H. Mapping Tyrosine Kinases Based on a TK Activity-Representing Peptide Library Reveals a Role for SRC in H1975 Drug Resistance. J Proteome Res 2022; 21:1105-1113. [PMID: 35293747 DOI: 10.1021/acs.jproteome.1c00980] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Tyrosine kinases (TKs) are prominent targets in cancer therapies, and more than 30 TK inhibitors have been approved for treatments in tumors with abnormal TK. Disappointingly, an incomplete response can occur with the long-term use of TK inhibitors, known as cancer drug resistance, which can be caused by kinome reprogramming. Hence, monitoring the status of TKs is crucial for revealing the underlying drug resistance mechanism. Here, we describe a TK activity-representing peptide library-based multiple reaction monitoring (TARPL-MRM) strategy for directly inferring TK activities. The strategy facilitated the assay of 87 human TKs through target quantification of 301 phosphorylation sites. Using this strategy, we demonstrated the heterogeneity of TK activity in different non-small cell lung cancer (NSCLC) cell lines and assessed the response of TK activities to the EGFR inhibitor AZD9291 in NSCLC cells. We found that the acquired resistance of H1975 cells to AZD9291 requires SRC activity, and inhibition of SRC plays potential roles in overcoming this resistance. In summary, our work reveals that this strategy has the potential to become a powerful tool for TK studies, clinical diagnostics, and the discovery of new therapeutic targets.
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Affiliation(s)
- Zhanwu Hou
- Center for Mitochondrial Biology and Medicine & Douglas C. Wallace Institute for Mitochondrial and Epigenetic Information Sciences, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
| | - Caiting Meng
- Center for Mitochondrial Biology and Medicine & Douglas C. Wallace Institute for Mitochondrial and Epigenetic Information Sciences, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
| | - Fei Yang
- Center for Mitochondrial Biology and Medicine & Douglas C. Wallace Institute for Mitochondrial and Epigenetic Information Sciences, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
| | - Yujiao Deng
- Center for Mitochondrial Biology and Medicine & Douglas C. Wallace Institute for Mitochondrial and Epigenetic Information Sciences, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
| | - Xiao Han
- Center for Mitochondrial Biology and Medicine & Douglas C. Wallace Institute for Mitochondrial and Epigenetic Information Sciences, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
| | - Huadong Liu
- Center for Mitochondrial Biology and Medicine & Douglas C. Wallace Institute for Mitochondrial and Epigenetic Information Sciences, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
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