Infrared Spectroscopic Imaging Visualizes a Prognostic Extracellular Matrix-Related Signature in Breast Cancer.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
25 03 2020
Historique:
received: 04 09 2019
accepted: 27 02 2020
entrez: 28 3 2020
pubmed: 28 3 2020
medline: 17 12 2020
Statut: epublish

Résumé

Molecular analysis techniques such as gene expression analysis and proteomics have contributed greatly to our understanding of cancer heterogeneity. In prior studies, gene expression analysis was shown to stratify patient outcome on the basis of tumor-microenvironment associated genes. A specific gene expression profile, referred to as ECM3 (Extracellular Matrix Cluster 3), indicated poorer survival in patients with grade III tumors. In this work, we aimed to visualize the downstream effects of this gene expression profile onto the tissue, thus providing a spatial context to altered gene expression profiles. Using infrared spectroscopic imaging, we identified spectral patterns specific to the ECM3 gene expression profile, achieving a high spectral classification performance of 0.87 as measured by the area under the curve of the receiver operating characteristic curve. On a patient level, we correctly identified 20 out of 22 ECM3 group patients and 19 out of 20 non-ECM3 group patients by using this spectroscopic imaging-based classifier. By comparing pixels that were identified as ECM3 or non-ECM3 with H&E and IHC images, we were also able to observe an association between tissue morphology and the gene expression clusters, showing the ability of our method to capture broad outcome associated features from infrared images.

Identifiants

pubmed: 32214177
doi: 10.1038/s41598-020-62403-2
pii: 10.1038/s41598-020-62403-2
pmc: PMC7096505
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5442

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB009745
Pays : United States

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Auteurs

Saumya Tiwari (S)

Departments of Medicine and Pharmacology, University of California San Diego, La Jolla, CA, USA.

Tiziana Triulzi (T)

Molecular Targeting Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Sarah Holton (S)

University of Washington, Seattle, WA, USA.

Viola Regondi (V)

Molecular Targeting Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Biagio Paolini (B)

Anatomic Pathology A Unit, Department of Pathology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Elda Tagliabue (E)

Molecular Targeting Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Rohit Bhargava (R)

Departments of Bioengineering, Electrical and Computer Engineering, Mechanical Science and Engineering, Chemical and Biomolecular Engineering and Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA. rxb@illinois.edu.
Cancer Center at Illinois and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA. rxb@illinois.edu.

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