VYUŽITIE PROFILOV GÉNOVEJ EXPRESIE K STANOVENIU ODPOVEDI K NEOADJUVATNEJ KONKOMITANTNEJ CHEMORÁDIOTERAPII U PACIENTOV S KARCINÓMOM REKTA: PILOTNÁ ŠTÚDIA
| Title in English | GENE EXPRESSION PROFILING IN PREDICTION OF TUMOR RESPONSE TO NEOADJUVANT CONCOMITANT CHEMORADIOTHERAPY IN PATIENTS WITH LOCALLY ADVANCED RECTAL CARCINOMA: PILOT STUDY |
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| Authors | |
| Year of publication | 2008 |
| Type | Article in Periodical |
| Magazine / Source | Časopis lékařů českých |
| MU Faculty or unit | |
| Citation | |
| Field | Oncology and hematology |
| Keywords | neoadjuvant therapy fluoropyrimidines radiotherapy rectal adenocarcinomas gene expression profiling DNA arrays |
| Description | Backgrounds: Neoadjuvant concomitant chemoradiotherapy has become a standard treatment of locally advanced rectal adenocarcinomas (LARA). It can reduce tumor volume, thus increases a feasibility of sphincter-sparing surgery, shows less acute toxicity, improves local control rate. It is based on fluoropyrimidines (5-fluorouracil, capecitabine) with concurrent radiotherapy. The aim was to evaluate the capability of gene expression signatures to identify nonresponders (NR) pretherapeutically. Patients, methods: 17 patients with LARA, clinical stage II, III according to IUCC were enrolled into our pilot study. Response to therapy was determined clinically by transrectal ultrasonography and CT/MRI before and after therapy and histopathologically by TRG (tumor regression grade) according to Mandard. Patients with TRG 1-2 were included to responders group (R) and patients with TRG 4-5 composed NR group. Gene expression levels of 440 genes were obtained by low-density oligonucleotide microarrays. Results: Gene expression data analysis based on SAM (Significance Analysis of Microarrays) and t test methods identified 8 genes (RB1, RBBP4, HYOU1, JUNB, MDM4, CANX, MMP2, TCF7L2) significantly upregulated in NR. Conclusion: Validation of identified changes on the mRNA level (Real-Time PCR) and on protein level (immunohistochemistry) is ongoing. We suggest that low-density oligonucleotide microarray technology could contribute to individualize the therapy of patients with LARA. |