PhD Scientific Days 2024

Pathological and Oncological Sciences I.

Digital Image Analysis for Evaluating Stromal Marker Expression in Triple Negative Breast Cancer

Előadó neve

Dr. Karancsi, Zsófia

Neptun code

Opa9sv

Előadó munkahelye

Department of Pathology, Forensic and Insurance Medicine, Semmelweis University

Előadó telefonszáma

+36303147534

Előadó e-mail címe

zsofi.karancsi@gmail.com

Az előadás címe

Digital Image Analysis for Evaluating Stromal Marker Expression in Triple Negative Breast Cancer

Szerző(k) neve és munkahelye

Zsófia Karancsi¹, Dr. Barbara Gregus¹, Prof. Tibor Krenács², Prof. Gábor Cserni³

1: Department of Pathology, Forensic and Insurance Medicine, Semmelweis University
2: Department of Pathology and Experimental Cancer Research, Semmelweis University
3: Department of Pathology, Albert Szent-Györgyi Faculty of Medicine, University of Szeged

Bemutatás módja

Szóbeli

Szekció

Pathological and Oncological Sciences I.

Language of the presentation

English

Preferred session

Pathological and Oncological Sciences

Összefoglaló szövege

Introduction: A growing body of research supports the role of the tumor microenvironment in tumor progression and the development of certain therapeutic resistances. In triple-negative breast cancer (TNBC), few effective biomarkers are available, so objective assessment of stromal characteristics using conventional and digital image analysis (DIA) methods may be crucial.

Methods: H&E stained surgical specimens of 105 patients diagnosed with TNBC, treated by primary surgery between 2005-2013 were analyzed. Tumor stroma ratio (TSR) and overall stromal extent was determined on digitized H&E stained sections according to the recommendations of Mesker et al. visually and utilizing DIA (3D Histech, Quantcenter). The dominant stromal type of tumors (collagen (C), lymphocyte (L), fibroblast (F) dominant) based on the recommendations of Ahn S. et al. was also determined. Immunohistochemistry was performed on tissue microarrays (TMA) to estimate the Col-1, Col-3, and Fibrillin proteins. The intensity and percentage of positivity was evaluated visually and by using DIA.

Results: Intra- and interobserver variability of TSR and overall stromal extent was low (ICC=0.99; κ=0,83). DIA and visual analysis showed significant correlation in both H&E stained surgical specimens and immunostained TMA samples, except for immunohistochemical intensity measurements (κ=0.42). TSR and overall stroma extent were significantly associated with several variables, such as mitotic index, age, tumor size, and number of metastatic lymph nodes. Significantly different TSR values were detected in the tumors presenting with distinct stromal type (p=0.0017): L<F<C. Based on Kaplan-Meier analyses overall and progression free survival correlated significantly with the overall stromal extent, as stroma-high tumors had a worse prognosis (PFS: p=0.042, OS: p=0.027).

Conclusion: DIA can be quickly and easily applied in routine pathology in H&E stained sections to quantify tumor stroma, which is more and more considered as an important parameter in treatment decision and prognosis. Stroma-high TNBC tumors are characterized by significantly worse survival.

Abbreviations: DIA: digital image analysis; H&E: hematoxylin & eosin staining; OS: overall survival; PFS: progression-free survival; TMA: tissue microarray; TNBC: triple negative breast cancer; TSR: tumor stroma ratio

University

Semmelweis University

Other university, not listed above

University of Szeged

Supervisor

Dr. Anna Mária Tőkés, Prof. Janina Kulka

Publication of my abstract

I give consent to the publication of my abstract on the website of the congress.

Kind

Szabad

Status

elfogadva

Accepted presentation method

szóbeli

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

6893

Start

12:00

End

12:10