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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: T cell subpopulations in lymph nodes may not be predictive of patient outcome in colorectal cancer | Kemp et al. Journal of Experimental Clinical Cancer Research 2011 30 78 http www.jeccr.eom content 30 1 78 Journal of Experimental Clinical Cancer Research RESEARCH Open Access T cell subpopulations in lymph nodes may not be predictive of patient outcome in colorectal cancer D r l k k A IX X . m k- . 1 5K ỉ I r f I A D I z l 2 lz IV I s I I 3 I_I c Z I I 4 A l A D p i I I i k r 3 A A I r m r r 1 6 s -J Roslyn A Kemp Micnaei A BlacK John McCall Han-seung Yoon viCKy Phillips Ahmad Anjomspoaa ana Anthony E Reeve 1 Abstract Background The immune response has been proposed to be an important factor in determining patient outcome in colorectal cancer CRC . Previous studies have concentrated on characterizing T cell populations in the primary tumour where T cells with regulatory effect Foxp3 Tregs have been identified as both enhancing and diminishing anti-tumour immune responses. No previous studies have characterized the T cell response in the regional lymph nodes in CRC. Methods Immunohistochemistry was used to analyse CD4 CD8 or Foxp3 T cell populations in the regional lymph nodes of patients with stage II CRC n 31 with n 13 or without n 18 cancer recurrence after 5 years of follow up to determine if the priming environment for anti-tumour immunity was associated with clinical outcome. Results The proportions of CD4 CD8 or Foxp3 cells in the lymph nodes varied widely between and within patients and there was no association between T cell populations and cancer recurrence or other clinicopathological characteristics. Conclusions These data indicate that frequency of these T cell subsets in lymph nodes may not be a useful tool for predicting patient outcome. Background Colorectal cancer is estimated to cause 639 000 deaths world wide per year 1 . The prognosis following surgery depends on disease stage and this also determines the need for additional treatment. However clinico-patholo-gical stage characteristics alone provide imperfect prognostic information. For .