Validation of an Automated Quantitative Digital Pathology Approach for Scoring TMEM, a Prognostic Biomarker for Metastasis.

TMEM digital pathology metastasis prognostic validation study

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
31 Mar 2020
Historique:
received: 10 03 2020
revised: 25 03 2020
accepted: 27 03 2020
entrez: 5 4 2020
pubmed: 5 4 2020
medline: 5 4 2020
Statut: epublish

Résumé

Metastasis causes ~90% of breast cancer mortality. However, standard prognostic tests based mostly on proliferation genes do not measure metastatic potential. Tumor MicroEnvironment of Metastasis (TMEM), an immunohistochemical biomarker for doorways on blood vessels that support tumor cell dissemination is prognostic for metastatic outcome in breast cancer patients. Studies quantifying TMEM doorways have involved manual scoring by pathologists utilizing static digital microscopy: a labor-intensive process unsuitable for use in clinical practice. We report here a validation study evaluating a new quantitative digital pathology (QDP) tool (TMEM-DP) for identification and quantification of TMEM doorways that closely mimics pathologists' workflow and reduces pathologists' variability to levels suitable for use in a clinical setting. Blinded to outcome, QDP was applied to a nested case-control study consisting of 259 matched case-control pairs. Sixty subjects of these were manually scored by five pathologists, digitally recorded using whole slide imaging (WSI), and then used for algorithm development and optimization. Validation was performed on the remainder of the cohort. TMEM-DP shows excellent reproducibility and concordance and reduces pathologist time from ~60 min to ~5 min per case. Concordance between manual scoring and TMEM-DP was found to be >0.79. These results show that TMEM-DP is capable of accurately identifying and scoring TMEM doorways (also known as MetaSite score) equivalent to pathologists.

Identifiants

pubmed: 32244564
pii: cancers12040846
doi: 10.3390/cancers12040846
pmc: PMC7226227
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Jane A. and Myles P. Dempsey
ID : .
Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA216248
Pays : United States
Organisme : NIH HHS
ID : CA216248
Pays : United States
Organisme : Lipper Family Foundation
ID : Gruss-Lipper Biophotonics Center
Organisme : NIH HHS
ID : S10 OD019961
Pays : United States
Organisme : NIH HHS
ID : CA100324
Pays : United States
Organisme : Lipper Family Foundation
ID : Integrated Imaging Program
Organisme : NCI NIH HHS
ID : P01 CA100324
Pays : United States

Déclaration de conflit d'intérêts

J.S.C., J.G.J., M.H.O., and T.E.R. had equity interest (including patents) in MetaStat, Inc. J.A.S. had equity interest in MetaStat, Inc. J.S.C., J.G.J., T.E.R., D.E., and J.A.S. served as consultant/advisory board members for MetaStat, Inc. The rest of the authors declare no conflict of interest.

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Auteurs

David Entenberg (D)

Department of Anatomy and Structural Biology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.
Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.
Integrated Imaging Program, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.

Maja H Oktay (MH)

Department of Anatomy and Structural Biology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.
Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.
Integrated Imaging Program, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.
Department of Pathology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.

Timothy D'Alfonso (T)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA.

Paula S Ginter (PS)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.

Brian D Robinson (BD)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.

Xiaonan Xue (X)

Department of Epidemiology and Population Health, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.

Thomas E Rohan (TE)

Department of Epidemiology and Population Health, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.

Joseph A Sparano (JA)

Department of Oncology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.

Joan G Jones (JG)

Department of Anatomy and Structural Biology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.
Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.
Integrated Imaging Program, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.
Department of Pathology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.

John S Condeelis (JS)

Department of Anatomy and Structural Biology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.
Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.
Integrated Imaging Program, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.
Department of Surgery, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY 10461, USA.

Classifications MeSH