In this single institution, population-based retrospective study, we found that PMBCL patients have excellent survival rates and a distinct plateau is observed in PFS, in striking comparison to DLBCL. The aaIPI was not predictive of survival in this population, suggesting that other prognostic models may be better suited for risk stratification. Dose-intensified chemotherapy with MACOPB or VACOPB demonstrated a trend to superior outcome over CHOP-type chemotherapy. However, further randomized studies are needed and the impact of rituximab on these comparisons must be considered. Finally, the routine addition of radiotherapy does not improve survival.

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Genetic predictive biomarkers of radiosensitivity are being sought to individualize radiation treatment of cancer patients. In this pilot case-control study, we tested the association between TGFB1 T869C codon 10 Leu/Pro (rs1982073), XRCC1 G28152A codon 399 Arg/Gln (rs25487), and XRCC3 C18067T codon 241 Thr/Met (rs861539) single-nucleotide polymorphisms (SNPs) and late reaction to radiotherapy in 60 nasopharyngeal cancer patients. Subcutaneous and deep tissue fibrosis was scored using the RTOG/EORTC grading system. Patients with moderate to severe fibrosis (radiosensitive cases, G2-3, n = 30) were matched and compared to those with little or no reaction (controls, G0-1, n = 30). The three nonsynonymous SNPs were genotyped by direct DNA sequencing. Significant association was observed for TGFB1 T869C and XRCC1 G28152A genotypes (P < or = 0.05). Both variant alleles, TGFB1 869C and XRCC1 28152A, were associated with a lower grade of fibrosis (odds ratios were 0.41, 95% CI: 0.20-0.86, P = 0.02 and 0.30, 95% CI: 0.10-0.89, P = 0.02, respectively), and therefore the wild-types were the risk alleles. Interestingly, there was a significant difference in the median number of risk alleles between the radiosensitive and the control groups (P = 0.006). We conclude that radiotherapy complications are associated with genetic variations in our nasopharynx cancer patients. Our findings support the assumption of the combined effects of multiple SNPs. Large-scale studies are required to confirm these findings before polymorphisms can be used as predictive markers to individualize radiation therapy on genetic bases.