Abstract

Breast cancer patients show a wide variation in normal tissue reactions after radiotherapy. The individual sensitivity to x-rays limits the efficiency of the therapy. Prediction of individual sensitivity to radiotherapy could help to select the radiation protocol and to improve treatment results. The aim of this study was to assess the relationship between gene expression profiles of ex vivo un-irradiated and irradiated lymphocytes and the development of toxicity due to high-dose hyperfractionated radiotherapy in patients with locally advanced breast cancer. Raw data from microarray experiments were uploaded to the Gene Expression Omnibus Database (GEO accession GSE15341). We obtained a small group of 81 genes significantly regulated by radiotherapy, lumped in 50 relevant pathways. Using ANOVA and t-test statistical tools we found 20 and 26 constitutive genes (0 Gy) that segregate patients with and without acute and late toxicity, respectively. Non-supervised hierarchical clustering was used for the visualization of results. Six and 9 pathways were significantly regulated respectively. Concerning to irradiated lymphocytes (2 Gy), we founded 29 genes that separate patients with acute toxicity and without it. Those genes were gathered in 4 significant pathways. We could not identify a set of genes that segregates patients with and without late toxicity. In conclusion, we have found an association between the constitutive gene expression profile of peripheral blood lymphocytes and the development of acute and late toxicity in consecutive, unselected patients. These observations suggest the possibility of predicting normal tissue response to irradiation in high-dose non-conventional radiation therapy regimens. Prospective studies with higher number of patients are needed to validate these preliminary results.

Highlights

  • Radiation is an effective therapy in patients with local advanced breast cancer (LABC) [1,2]

  • To discriminate genes that could be significantly associated with RT toxicity, non-supervised hierarchical clustering, in Multiexperiment Viewer (MeV), was used to visualize the whole set of significant genes modulated before and after X-ray exposure in patients with and without acute/late toxicity

  • Comparison of gene expression profiles from 0 Gy and 2 Gy-treated lymphocytes, using two-class paired test in Significant Analysis for Microarray (SAM) program, identified a total of 81 genes significantly regulated by RT [see Additional file 2]

Read more

Summary

Introduction

Radiation is an effective therapy in patients with local advanced breast cancer (LABC) [1,2]. Tumor control by radiotherapy (RT) requires the use of maximum dose that can be delivered while maintaining a tolerance risk of normal tissue toxicity [3]. Better local control outcomes with an acceptable toxicity have been obtained by using high total doses radiation administered in two small fractions per day compared with standard RT protocols [4]. Knowledge of individual variations of normal tissue toxicities determining tolerance would be of great value in patients treated with high-dose radiation protocol [5]. Few studies have been published with regard to radiation induced toxicity and microarrays [2,7,8,9,10]. Patients were previously selected according to the clinical toxicity observed and only three publications included breast cancer patients [see Additional file 1]

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call