Precise Quantitation of PTEN by Immuno-MRM: A Tool To Resolve the Breast Cancer Biomarker Controversy.


Journal

Analytical chemistry
ISSN: 1520-6882
Titre abrégé: Anal Chem
Pays: United States
ID NLM: 0370536

Informations de publication

Date de publication:
10 08 2021
Historique:
pubmed: 30 7 2021
medline: 1 9 2021
entrez: 29 7 2021
Statut: ppublish

Résumé

The tumor suppressor PTEN is the main negative regulator of PI3K/AKT/mTOR signaling and is commonly found downregulated in breast cancer (BC). Conflicting data from conventional immunoassays such as immunohistochemistry (IHC) has sparked controversy about PTEN's role as a prognostic and predictive biomarker in BC, which can be largely attributed to the lack of specificity, sensitivity, and interlaboratory standardization. Here, we present a fully standardized, highly sensitive, robust microflow immuno-MRM (iMRM) assay that enables precise quantitation of PTEN concentrations in cells and fresh frozen (FF) and formalin-fixed paraffin-embedded (FFPE) tissues, down to 0.1 fmol/10 μg of extracted protein, with high interday and intraday precision (CV 6.3%). PTEN protein levels in BC PDX samples that were determined by iMRM correlate well with semiquantitative IHC and WB data. iMRM, however, allowed the precise quantitation of PTEN-even in samples that were deemed to be PTEN negative by IHC or western blot (WB)-while requiring substantially less tumor tissue than WB. This is particularly relevant because the extent of PTEN downregulation in tumors has been shown to correlate with severity. Our standardized and robust workflow includes an 11 min microflow LC-MRM analysis on a triple-quadrupole MS and thus provides a much needed tool for the study of PTEN as a potential biomarker for BC.

Identifiants

pubmed: 34324311
doi: 10.1021/acs.analchem.1c00975
doi:

Substances chimiques

Biomarkers, Tumor 0
PTEN Phosphohydrolase EC 3.1.3.67
PTEN protein, human EC 3.1.3.67

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

10816-10824

Auteurs

Sahar Ibrahim (S)

Division of Experimental Medicine, McGill University, Montréal, Quebec H4A 3J1 Canada.
Clinical Pathology Department, Menoufia University, Shebeen, El Kom 32511, Egypt.
Segal Cancer Proteomics Centre, McGill University, Montréal, Quebec H3T 1E2, Canada.

Cathy Lan (C)

Segal Cancer Centre, McGill University, Montréal, Quebec H3T 1E2, Canada.

Catherine Chabot (C)

Segal Cancer Centre, McGill University, Montréal, Quebec H3T 1E2, Canada.

Georgia Mitsa (G)

Division of Experimental Medicine, McGill University, Montréal, Quebec H4A 3J1 Canada.
Segal Cancer Proteomics Centre, McGill University, Montréal, Quebec H3T 1E2, Canada.

Marguerite Buchanan (M)

Segal Cancer Centre, McGill University, Montréal, Quebec H3T 1E2, Canada.

Adriana Aguilar-Mahecha (A)

Segal Cancer Centre, McGill University, Montréal, Quebec H3T 1E2, Canada.

Mounib Elchebly (M)

Segal Cancer Centre, McGill University, Montréal, Quebec H3T 1E2, Canada.

Oliver Poetz (O)

University of Tuebingen, Reutlingen 72770, Germany.
SIGNATOPE GmbH, Reutlingen 72770, Germany.

Alan Spatz (A)

Division of Experimental Medicine, McGill University, Montréal, Quebec H4A 3J1 Canada.
Segal Cancer Centre, McGill University, Montréal, Quebec H3T 1E2, Canada.
Department of Pathology, McGill University, Montréal, Quebec H3A 2B4, Canada.
OPTILAB-McGill University Health Centre, Montréal, Quebec H4A 3J1, Canada.

Mark Basik (M)

Division of Experimental Medicine, McGill University, Montréal, Quebec H4A 3J1 Canada.
Segal Cancer Centre, McGill University, Montréal, Quebec H3T 1E2, Canada.
Gerald Bronfman Department of Oncology, McGill University, Montréal, Quebec H3T 1E2, Canada.

Gerald Batist (G)

Segal Cancer Centre, McGill University, Montréal, Quebec H3T 1E2, Canada.
Gerald Bronfman Department of Oncology, McGill University, Montréal, Quebec H3T 1E2, Canada.

René P Zahedi (RP)

Segal Cancer Proteomics Centre, McGill University, Montréal, Quebec H3T 1E2, Canada.
Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Moscow 121205, Russia.

Christoph H Borchers (CH)

Segal Cancer Proteomics Centre, McGill University, Montréal, Quebec H3T 1E2, Canada.
Gerald Bronfman Department of Oncology, McGill University, Montréal, Quebec H3T 1E2, Canada.
Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Moscow 121205, Russia.

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Classifications MeSH