Quantification of putative ovarian cancer serum protein biomarkers using a multiplexed targeted mass spectrometry assay

被引:0
|
作者
Ryu, Joohyun [1 ]
Boylan, Kristin L. M. [1 ]
Twigg, Carly A. I. [1 ]
Evans, Richard [2 ]
Skubitz, Amy P. N. [1 ]
Thomas, Stefani N. [1 ]
机构
[1] Univ Minnesota, Dept Lab Med & Pathol, Sch Med, Minneapolis, MN 55455 USA
[2] Univ Minnesota, Clin & Translat Res Inst, Minneapolis, MN USA
关键词
Targeted mass spectrometry; Parallel reaction monitoring (PRM); Diagnostic biomarkers; High-grade serous ovarian cancer (HGSOC); Serum; Insulin-like growth factor-binding protein 2 (IBP2); FACTOR-BINDING PROTEIN-2; HIGH-RESOLUTION; RACIAL/ETHNIC DISPARITIES; DIAGNOSTIC-ACCURACY; PROTEOMICS; EXPRESSION; IDENTIFICATION; MARKERS; PTEN; VERIFICATION;
D O I
10.1186/s12014-023-09447-4
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
BackgroundOvarian cancer is the most lethal gynecologic malignancy in women, and high-grade serous ovarian cancer (HGSOC) is the most common subtype. Currently, no clinical test has been approved by the FDA to screen the general population for ovarian cancer. This underscores the critical need for the development of a robust methodology combined with novel technology to detect diagnostic biomarkers for HGSOC in the sera of women. Targeted mass spectrometry (MS) can be used to identify and quantify specific peptides/proteins in complex biological samples with high accuracy, sensitivity, and reproducibility. In this study, we sought to develop and conduct analytical validation of a multiplexed Tier 2 targeted MS parallel reaction monitoring (PRM) assay for the relative quantification of 23 putative ovarian cancer protein biomarkers in sera.MethodsTo develop a PRM method for our target peptides in sera, we followed nationally recognized consensus guidelines for validating fit-for-purpose Tier 2 targeted MS assays. The endogenous target peptide concentrations were calculated using the calibration curves in serum for each target peptide. Receiver operating characteristic (ROC) curves were analyzed to evaluate the diagnostic performance of the biomarker candidates.ResultsWe describe an effort to develop and analytically validate a multiplexed Tier 2 targeted PRM MS assay to quantify candidate ovarian cancer protein biomarkers in sera. Among the 64 peptides corresponding to 23 proteins in our PRM assay, 24 peptides corresponding to 16 proteins passed the assay validation acceptability criteria. A total of 6 of these peptides from insulin-like growth factor-binding protein 2 (IBP2), sex hormone-binding globulin (SHBG), and TIMP metalloproteinase inhibitor 1 (TIMP1) were quantified in sera from a cohort of 69 patients with early-stage HGSOC, late-stage HGSOC, benign ovarian conditions, and healthy (non-cancer) controls. Confirming the results from previously published studies using orthogonal analytical approaches, IBP2 was identified as a diagnostic biomarker candidate based on its significantly increased abundance in the late-stage HGSOC patient sera compared to the healthy controls and patients with benign ovarian conditions.ConclusionsA multiplexed targeted PRM MS assay was applied to detect candidate diagnostic biomarkers in HGSOC sera. To evaluate the clinical utility of the IBP2 PRM assay for HGSOC detection, further studies need to be performed using a larger patient cohort.
引用
收藏
页数:20
相关论文
共 50 条
  • [31] Putative Protein Biomarkers of Escherichia coli Antibiotic Multiresistance Identified by MALDI Mass Spectrometry
    de Sousa, Telma
    Viala, Didier
    Theron, Laetitia
    Chambon, Christophe
    Hebraud, Michel
    Poeta, Patricia
    Igrejas, Gilberto
    BIOLOGY-BASEL, 2020, 9 (03):
  • [32] Sequential Multiplexed Analyte Quantification Using Peptide Immunoaffinity Enrichment Coupled to Mass Spectrometry
    Whiteaker, Jeffrey R.
    Zhao, Lei
    Lin, Chenwei
    Yan, Ping
    Wang, Pei
    Paulovich, Amanda G.
    MOLECULAR & CELLULAR PROTEOMICS, 2012, 11 (06)
  • [33] An Automated and Multiplexed Method for High Throughput Peptide Immunoaffinity Enrichment and Multiple Reaction Monitoring Mass Spectrometry-based Quantification of Protein Biomarkers
    Whiteaker, Jeffrey R.
    Zhao, Lei
    Anderson, Leigh
    Paulovich, Amanda G.
    MOLECULAR & CELLULAR PROTEOMICS, 2010, 9 (01) : 184 - 196
  • [34] Development of a Targeted Mass-Spectrometry Serum Assay To Quantify M-Protein in the Presence of Therapeutic Monoclonal Antibodies
    Zajec, Marina
    Jacobs, Joannes F. M.
    Groenen, Patricia J. T. A.
    Angelino, Corrie M. de Kat
    Stingl, Christoph
    Luider, Theo M.
    De Rijke, Yolanda B.
    VanDuijn, Martijn M.
    JOURNAL OF PROTEOME RESEARCH, 2018, 17 (03) : 1326 - 1333
  • [35] The Emerging Potential of Advanced Targeted Mass Spectrometry to Become a Routine Tool for Protein Quantification in Biomedical Research
    Varela, Minia Antelo
    Schmidt, Alexander
    CHIMIA, 2022, 76 (1-2) : 81 - 89
  • [36] Quantification of mutant SPOP proteins in prostate cancer using mass spectrometry-based targeted proteomics
    Wang, Hui
    Barbieri, Christopher E.
    He, Jintang
    Gao, Yuqian
    Shi, Tujin
    Wu, Chaochao
    Schepmoes, Athena A.
    Fillmore, Thomas L.
    Chae, Sung-Suk
    Huang, Dennis
    Mosquera, Juan Miguel
    Qian, Wei-Jun
    Smith, Richard D.
    Srivastava, Sudhir
    Kagan, Jacob
    Camp, David G., II
    Rodland, Karin D.
    Rubin, Mark A.
    Liu, Tao
    JOURNAL OF TRANSLATIONAL MEDICINE, 2017, 15
  • [37] Minimal sample requirement for highly multiplexed protein quantification in cell lines and tissues by PCT-SWATH mass spectrometry
    Shao, Shiying
    Guo, Tiannan
    Koh, Chiek Ching
    Gillessen, Silke
    Joerger, Markus
    Jochum, Wolfram
    Aebersold, Ruedi
    PROTEOMICS, 2015, 15 (21) : 3711 - 3721
  • [38] Putative serum protein biomarkers for epsilon toxin exposure in mouse model using LC-MS/MS analysis
    Babele, Prabhakar
    Kumar, Ravi Bhushan
    Rajoria, Sakshi
    Rashid, Faraz
    Malakar, Dipankar
    Bhagyawant, Sameer Suresh
    Kamboj, Dev Vrat
    Alam, Syed Imteyaz
    ANAEROBE, 2020, 63
  • [39] Multiplexed quantification of 63 proteins in human urine by multiple reaction monitoring-based mass spectrometry for discovery of potential bladder cancer biomarkers
    Chen, Yi-Ting
    Chen, Hsiao-Wei
    Domanski, Dominik
    Smith, Derek S.
    Liang, Kung-Hao
    Wu, Chih-Ching
    Chen, Chien-Lun
    Chung, Ting
    Chen, Min-Chi
    Chang, Yu-Sun
    Parker, Carol E.
    Borchers, Christoph H.
    Yu, Jau-Song
    JOURNAL OF PROTEOMICS, 2012, 75 (12) : 3529 - 3545
  • [40] Identification of Treponema pallidum-specific protein biomarkers in syphilis patient serum using mass spectrometry
    Tong, Man-Li
    Liu, Dan
    Liu, Li-Li
    Lin, Li-Rong
    Zhang, Hui-Lin
    Tian, Hui-Min
    Yang, Tian-Ci
    FUTURE MICROBIOLOGY, 2021, 16 (14) : 1041 - 1051