Prognosis Prediction of Colorectal Cancer Using Gene Expression Profiles

Conclusion: Prognosis prediction based on informative DEGs might yield a higher predictive accuracy in CRC prognosis than the TNM staging system does. Introduction Colorectal Cancer (CRC) is one of the most common malignancies globally (1). In order to guide clinical treatment and predict prognosis, several CRC staging systems have been established, especially the American Joint committee on Cancer (AJCC) tumor-node-metastasis (TNM) system based on anatomical information, which is widely used (2). According to the TNM staging system, the survival of CRC patients is related to the size of primary tumor (T), nearby lymph nodes affected (N), and distant metastasis (M). However, CRC is an etiologically heterogeneous disease involving several distinct biologic pathways, resulting in different survival status even among patients who are at the same TNM stage (3). Over last few decades we have seen a remarkable advance in the knowledge of CRC biological pathways with an abundance of novel molecular biomarkers having been found to have potentials in prognosis prediction. By applying the quantitative reverse transcription polymerase chain reaction (RT-qPCR) platform, O'Connell et al. selected seven recurrence risk genes among patients with stage II/III colon cancer and developed a recurrence risk score using the seven genes to stratify patients with significantly different recurrence risks (4). Barrier et al. also reported an 80% prognosis prediction accuracy obtained b...
Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research