为了用有免疫力的微型环境和临床的 factors.MethodsA 调查好攻击的 B 房间淋巴瘤的风险层化,与在 2014 和 2015 之间的好攻击的 B 房间淋巴瘤 127 个病人总计在这研究被注册。CD4, Foxp3, CD8, CD68, CD163, PD-1,和 PD-L1 表示层次在嵌入石蜡的淋巴瘤纸巾被评估在风险层化识别他们的角色。十一个因素在 11 个因素用变化,chi平方,和多项的逻辑回归 analysis.ResultsSignificant 差别的分析为进一步的评估被识别(年龄,安乔木舞台, B 症状, ECOG 表演地位,渗透的 CD8 + T 房间, PD-L1 表示,绝对的血单核白血球计数,浆液喂奶脱氢酶,浆液铁,浆液白朊,和浆液 2-microglobulin )在耐心的组之中被观察由至少二个风险层化方法成层[实习生当这些因素被用于风险层化时,词语索引率是高度(81.4%-100.0%) 。在风险层化结果的差别都没被观察与或没有安乔木阶段, data.ConclusionWe 在好攻击的 B 房间淋巴瘤的风险层化为使用开发了一个方便、便宜的工具,尽管有免疫力的 microenvironmental 因素的角色上的进一步的研究被需要。
Objective To investigate the risk stratification of aggressive B cell lymphoma using the immune microenvironment and clinical factors. Methods A total of 127 patients with aggressive B cell lymphoma between 2014 and 2015 were enrolled in this study. CD4, Foxp3, CDS, CD68, CD163, PD-1, and PD-L1 expression levels were evaluated in paraffin-embedded lymphoma tissues to identify their roles in the risk stratification. Eleven factors were identified for further evaluation using analysis of variance, chi-square, and multinomial logistic regression analysis. Results Significant differences in 11 factors (age, Ann Arbor stage, B symptom, ECOG performance status, infiltrating CD8+ T cells, PD-L1 expression, absolute blood monocyte count, serum lactate dehydrogenase, serum iron, serum albumin, and serum l~2-microglobulin) were observed among patient groups stratified by at least two risk stratification methods [International Prognostic Index (IPI), revised IPI, and NCCN-IPI models] (P 〈 0.05). Concordance rates were high (81.4%-100.0%) when these factors were used for the risk stratification. No difference in the risk stratification results was observed with or without the Ann Arbor stage data. Conclusion We developed a convenient and inexpensive tool for use in risk stratification of aggressive B cell lymphomas, although further studies on the role of immune microenvironmental factors are needed.