Pilot Study Showing Feasibility of Phosphoproteomic Profiling of Pathway-Level Molecular Alterations in Barrett's Esophagus.

biopsy disease signature mass spectrometry pre-cancerous lesion systems biology

Journal

Genes
ISSN: 2073-4425
Titre abrégé: Genes (Basel)
Pays: Switzerland
ID NLM: 101551097

Informations de publication

Date de publication:
07 07 2022
Historique:
received: 13 05 2022
revised: 25 06 2022
accepted: 05 07 2022
entrez: 27 7 2022
pubmed: 28 7 2022
medline: 29 7 2022
Statut: epublish

Résumé

(1) Background: Barrett's esophagus is a major risk factor for esophageal adenocarcinoma. In this pilot study, we employed precision mass spectrometry to map global (phospho)protein perturbations in Barrett's esophagus lesions and adjacent normal tissue to glean insights into disease progression. (2) Methods: Biopsies were collected from two small but independent cohorts. Comparative analyses were performed between Barrett's esophagus samples and adjacent matched (normal) tissues from patients with known pathology, while specimens from healthy patients served as additional controls. (3) Results: We identified and quantified 6810 proteins and 6395 phosphosites in the discovery cohort, revealing hundreds of statistically significant differences in protein abundances and phosphorylation states. We identified a robust proteomic signature that accurately classified the disease status of samples from the independent patient cohorts. Pathway-level analysis of the phosphoproteomic profiles revealed the dysregulation of specific cellular processes, including DNA repair, in Barrett's esophagus relative to paired controls. Comparative analysis with previously published transcriptomic profiles provided independent evidence in support of these preliminary findings. (4) Conclusions: This pilot study establishes the feasibility of using unbiased quantitative phosphoproteomics to identify molecular perturbations associated with disease progression in Barrett's esophagus to define potentially clinically actionable targets warranting further assessment.

Identifiants

pubmed: 35885999
pii: genes13071215
doi: 10.3390/genes13071215
pmc: PMC9325186
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Jarrod Moore (J)

Center for Network Systems Biology, Boston University School of Medicine, Boston, MA 02118, USA.

Ryan Hekman (R)

Center for Network Systems Biology, Boston University School of Medicine, Boston, MA 02118, USA.

Benjamin C Blum (BC)

Center for Network Systems Biology, Boston University School of Medicine, Boston, MA 02118, USA.

Matthew Lawton (M)

Center for Network Systems Biology, Boston University School of Medicine, Boston, MA 02118, USA.

Sylvain Lehoux (S)

Harvard Medical School Center for Glycoscience, Harvard Medical School, Boston, MA 02115, USA.

Matthew Stachler (M)

Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA.

Douglas Pleskow (D)

Harvard Medical School Center for Glycoscience, Harvard Medical School, Boston, MA 02115, USA.

Mandeep S Sawhney (MS)

Department of Surgery, Harvard Medical School, Boston, MA 02115, USA.

Richard D Cummings (RD)

Harvard Medical School Center for Glycoscience, Harvard Medical School, Boston, MA 02115, USA.
Department of Surgery, Harvard Medical School, Boston, MA 02115, USA.

Andrew Emili (A)

Center for Network Systems Biology, Boston University School of Medicine, Boston, MA 02118, USA.

Alia Qureshi (A)

Division of General & GI Surgery, Oregon Health & Science University, Machall 3186, Portland, OR 97239, USA.

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