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Internal Standard Triggered-Parallel Reaction Monitoring Mass Spectrometry Enables Multiplexed Quantification of Candidate Biomarkers in Plasma.
Kennedy, Jacob J; Whiteaker, Jeffrey R; Ivey, Richard G; Burian, Aura; Chowdhury, Shrabanti; Tsai, Chia-Feng; Liu, Tao; Lin, ChenWei; Murillo, Oscar D; Lundeen, Rachel A; Jones, Lisa A; Gafken, Philip R; Longton, Gary; Rodland, Karin D; Skates, Steven J; Landua, John; Wang, Pei; Lewis, Michael T; Paulovich, Amanda G.
Afiliação
  • Kennedy JJ; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, United States.
  • Whiteaker JR; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, United States.
  • Ivey RG; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, United States.
  • Burian A; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, United States.
  • Chowdhury S; Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.
  • Tsai CF; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
  • Liu T; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
  • Lin C; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, United States.
  • Murillo OD; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, United States.
  • Lundeen RA; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, United States.
  • Jones LA; Proteomics and Metabolomics Shared Resources, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, United States.
  • Gafken PR; Proteomics and Metabolomics Shared Resources, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, United States.
  • Longton G; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, United States.
  • Rodland KD; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
  • Skates SJ; MGH Biostatistics Center, Harvard Medical School, Boston, Massachusetts 02114, United States.
  • Landua J; Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas 77030, United States.
  • Wang P; Department of Genetics and Genomic Sciences, Mount Sinai Hospital, New York, New York 10065, United States.
  • Lewis MT; Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas 77030, United States.
  • Paulovich AG; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, United States.
Anal Chem ; 94(27): 9540-9547, 2022 07 12.
Article em En | MEDLINE | ID: mdl-35767427
ABSTRACT
Despite advances in proteomic technologies, clinical translation of plasma biomarkers remains low, partly due to a major bottleneck between the discovery of candidate biomarkers and costly clinical validation studies. Due to a dearth of multiplexable assays, generally only a few candidate biomarkers are tested, and the validation success rate is accordingly low. Previously, mass spectrometry-based approaches have been used to fill this gap but feature poor quantitative performance and were generally limited to hundreds of proteins. Here, we demonstrate the capability of an internal standard triggered-parallel reaction monitoring (IS-PRM) assay to greatly expand the numbers of candidates that can be tested with improved quantitative performance. The assay couples immunodepletion and fractionation with IS-PRM and was developed and implemented in human plasma to quantify 5176 peptides representing 1314 breast cancer biomarker candidates. Characterization of the IS-PRM assay demonstrated the precision (median % CV of 7.7%), linearity (median R2 > 0.999 over 4 orders of magnitude), and sensitivity (median LLOQ < 1 fmol, approximately) to enable rank-ordering of candidate biomarkers for validation studies. Using three plasma pools from breast cancer patients and three control pools, 893 proteins were quantified, of which 162 candidate biomarkers were verified in at least one of the cancer pools and 22 were verified in all three cancer pools. The assay greatly expands capabilities for quantification of large numbers of proteins and is well suited for prioritization of viable candidate biomarkers.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Proteômica Tipo de estudo: Diagnostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Proteômica Tipo de estudo: Diagnostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article