Zhang Hao, Gao Jiyue, Zhao Zuowei, Li Man, Liu Caigang
Department of Breast Surgery, Second Hospital of Dalian Medical University, Dalian 116023, China.
BMC Cancer. 2014 May 14;14:333. doi: 10.1186/1471-2407-14-333.
Certain markers have been identified over the last 10 years that facilitate the prediction of a patient's prognosis; these markers have been proposed to be useful for risk stratification of lymphoma patients and for the development of specific therapeutic strategies. In the present study, we assessed the potential prognostic value of SPRR1A expression in 967 patients with diffuse large B-cell lymphomas.
All patients were enrolled between 2001 and 2007 (median follow-up, 53.3 months) in the Second Hospital of Dalian Medical University, First Hospital of China Medical University, and Liaoning Cancer Hospital. Immunohistochemical analysis was used to evaluate the expression of SPRR1A. Survival was analyzed using the Kaplan-Meier method. Multivariate analysis was conducted to adjust the effect of SPRR1A expression for potential, well-known, independent prognostic factors.
Of the 967 patients examined, SPRR1A expression was detected in 305 (31.54%) patients on immunohistochemical analysis. The 5-year survival rate was significantly lower in patients with SPRR1A expression than in those without (26.9% vs. 53.2%, P < 0.001). Multivariate analysis identified SPRR1A expression as an independent predictor of survival in addition to lactate dehydrogenase level, clinical stage, and histologic subtype.
SPRR1A expression may be useful as a prognostic factor for diffuse large B-cell lymphoma.
在过去10年中已鉴定出某些标志物,有助于预测患者的预后;这些标志物已被认为对淋巴瘤患者的风险分层以及特定治疗策略的制定有用。在本研究中,我们评估了967例弥漫性大B细胞淋巴瘤患者中SPRR1A表达的潜在预后价值。
所有患者于2001年至2007年(中位随访时间为53.3个月)在大连医科大学附属第二医院、中国医科大学附属第一医院和辽宁省肿瘤医院入组。采用免疫组织化学分析评估SPRR1A的表达。使用Kaplan-Meier方法分析生存情况。进行多变量分析以调整SPRR1A表达对潜在的、众所周知的独立预后因素的影响。
在967例接受检查的患者中,免疫组织化学分析发现305例(31.54%)患者有SPRR1A表达。有SPRR1A表达的患者5年生存率显著低于无该表达的患者(26.9%对53.2%,P<0.001)。多变量分析确定,除乳酸脱氢酶水平、临床分期和组织学亚型外,SPRR1A表达是生存的独立预测因素。
SPRR1A表达可能作为弥漫性大B细胞淋巴瘤的一个预后因素。