Predictive Value of CD3, CD8, CD45RO Expression in Stage II/III Colorectal Cancer: Enhancing Predictive Value and Quality of Diagnosis

Predictive Value of CD3, CD8, CD45RO Expression in Stage II/III Colorectal Cancer: Enhancing Predictive Value and Quality of Diagnosis

Theodoros Argyropoulos (Department of Pathology, Attikon University General Hospital, Chaidari, Greece), Periklis G. Foukas (2nd Department of Pathology, National and Kapodistrian University of Athens, Chaidari, Greece), Effrosyni Karakitsou (Department of Biology, University of Barcelona, Barcelona, Spain), Stefanos Konstantoudakis (2nd Department of Pathology, National and Kapodistrian University of Athens, Chaidari, Greece), Maria Kefala (2nd Department of Pathology, National and Kapodistrian University of Athens, Chaidari, Greece), Nektarios Koufopoulos (2nd Department of Pathology, National and Kapodistrian University of Athens, Chaidari, Greece), Nikolaos Machairas (3rd Department of surgery, National and Kapodistrian University of Athens, Chaidari, Greece), Ioannis Panayiotides (2nd Department of Pathology, National and Kapodistrian University of Athens, Chaidari, Greece) and Konstantinos Triantafyllou (2nd Department of Medicine, National and Kapodistrian University of Athens, Chaidari, Greece)
Copyright: © 2018 |Pages: 19
DOI: 10.4018/IJRQEH.2018070102

Abstract

This article describes how colorectal carcinomas (CRC) are the fourth most frequently diagnosed cancer. However, despite advances in specific treatment, approximately 40% to 50% of patients have disease recurrence following potentially curative surgery, highlighting the demand for improvement of staging, treatment and prognosis. Inflammatory infiltration composed of lymphocytes is a common feature found in neoplasms and studies have indicated an association between tumor immune infiltrates and favorable disease outcomes. The aim of this article is to assess the association of tumor infiltrating lymphocytes and DNA damage response expression levels with disease outcome and survival in stage II and III CRC. The authors examined the prognostic value of immunological biomarkers using 5-year follow-up data to train an Artificial Neural Network (ANN) designed for the prediction of personalized risk. Data for three biomarkers which were found significant were subsequently used to train the ANN which predicted 5-year survival with 72.9% sensitivity and 68.8% specificity.
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Materials And Methods

Patient Selection

The study included 116 patients with stage II and III CRC. All patients underwent radical resection of primary tumor and regional lymphadenectomy at the Attikon University Hospital (National and Kapodistrian University of Athens, Greece) between January 2004 and May 2008. Patients were followed up for 60 months or until death. Histology reports were issued in accordance with World Health Organization criteria and staging was performed per the TNM Classification System for colon cancer. The use of archive material for research purposes was approved by the local Ethics Committee of the Attikon University Hospital.

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