不适合移植的大 B 细胞淋巴瘤二线使用 axicabtagene ciloleucel:ALYCANTE 最终分析
Second-line axicabtagene ciloleucel in large B-cell lymphoma ineligible for transplantation: ALYCANTE final analysis.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Flow cytometry quantification of tumor-infiltrating lymphocytes to predict the survival of patients with diffuse large B-cell lymphoma.
Flow cytometry quantification of tumor-infiltrating lymphocytes to predict the survival of patients with diffuse large B-cell lymphoma.
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我们之前的研究表明,弥漫大B细胞淋巴瘤(DLBCL)中的TIL(肿瘤浸润淋巴细胞)(TILs),包括正常B细胞、T细胞和自然杀伤(NK)细胞,对接受标准化疗免疫治疗患者的临床结局具有显著有利影响。在本研究中,为了全面了解肿瘤免疫微环境(TIME),我们组建了一个流式细胞术队列,包含在杜克大学医学中心诊断为DLBCL的102例患者。
我们收集了临床就诊时新鲜活检组织中的诊断性流式细胞术数据,包括T细胞、异常B细胞、正常B细胞、浆细胞、NK细胞、单核细胞和粒细胞的比例,并分析了其与患者生存的相关性以及不同细胞群体之间的相关性。
我们发现,所有活细胞中T细胞百分比较低以及T细胞与异常B细胞比值较低与显著较差的生存相关,而总B细胞中正常B细胞百分比较高(或正常B细胞与异常B细胞比值较高)以及所有活细胞中NK细胞百分比较高与DLBCL患者显著较好的生存相关。在排除少数T细胞百分比较低的患者后,所有B细胞中正常B细胞百分比仍显示出显著的预后作用,而所有细胞中T细胞百分比则不再具有此作用。数据显示,T细胞与正常B细胞之间以及粒细胞与单核细胞之间存在显著正相关。此外,我们基于临床和流式细胞术因素构建了一个预后模型,该模型将DLBCL队列分为两个相等组,两组患者在生存和治疗反应方面存在显著差异。总结:TILs,包括正常B细胞、T细胞和NK细胞,与DLBCL良好的临床结局相关,而能够量化TIME的流式细胞术可能具有额外的临床预后效用。
We collected diagnostic flow cytometry data, including the proportion of T cells, abnormal B cells, normal B cells, plasma cells, NK cells, monocytes, and granulocytes in fresh biopsy tissues at clinical presentation, and analyzed the correlations with patient survival and between different cell populations.
We found that low T cell percentages in all viable cells and low ratios of T cells to abnormal B cells correlated with significantly poorer survival, whereas higher percentages of normal B cells among total B cells (or high ratios of normal B cells to abnormal B cells) and high percentages of NK cells among all viable cells correlated with significantly better survival in patients with DLBCL. After excluding a small number of patients with low T cell percentages, the normal B cell percentage among all B cells, but not T cell percentage among all cells, continued to show a remarkable prognostic effect. Data showed significant positive correlations between T cells and normal B cells, and between granulocytes and monocytes. Furthermore, we constructed a prognostic model based on clinical and flow cytometry factors, which divided the DLBCL cohort into two equal groups with remarkable differences in patient survival and treatment response. SUMMARY: TILs, including normal B cells, T cells, and NK cells, are associated with favorable clinical outcomes in DLBCL, and flow cytometry capable of quantifying the TIME may have additional clinical utility for prognostication.
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