CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Evaluation of CD4(+) cells infiltration as a prognostic factor in cervical intraepithelial neoplasia 2.
Evaluation of CD4(+) cells infiltration as a prognostic factor in cervical intraepithelial neoplasia 2.
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肿瘤间病变中 CD4 + TIL 浸润与 CIN2 消退相关。我们的发现表明,CD4 + TIL 浸润可能有助于 CIN2 患者的分流。
识别宫颈上皮内瘤变2级(CIN2)病变预后的候选预测因素,并评估局部免疫反应的预后价值。
共纳入115例CIN2患者。通过免疫组化方法测定p16、微小染色体维持复合体组分2或载脂蛋白B mRNA编辑酶催化亚基3G(APOBEC3G)阳性细胞的百分比。使用自动化系统对瘤间病变中的TIL(肿瘤浸润淋巴细胞)(TILs)进行评分。采用Kaplan-Meier法估计CIN3疾病进展率和消退率。开展了一项病例对照研究,在10例消退患者和10例进展患者中筛选CIN2预后因素。在队列研究中检验所选因素,以确定其对CIN2的预后价值。
在所有参与者中,60个月的累积进展率和消退率分别为0.477和0.510。在病例对照研究中,进展组的p16和APOBEC3G阳性细胞较高(p=0.043,p=0.023)。此外,消退组的CD4+细胞浸润增强(p=0.023)。队列研究显示,p16阳性细胞升高的患者进展率显著增加(p<0.001),而CD4+TIL浸润增加与更好的消退相关(p=0.011)。根据人乳头瘤病毒(HPV)阳性进行的Kaplan-Meier分析显示,HPV16阳性患者的CIN3发生风险高于HPV16阴性病例。最后,多因素分析确定HPV16感染和CD4+TIL浸润是CIN2消退的独立预后因素。
To identify candidate predictors for the prognosis of cervical intraepithelial neoplasia 2 (CIN2) lesions and evaluate the prognostic value of the local immune response.
One hundred fifteen CIN2 patients were enrolled. The percentage of p16-, minichromosome maintenance complex component 2- or apolipoprotein B mRNA editing enzyme catalytic subunit 3G (APOBEC3G)-positive cells was determined immunohistochemically. Tumor-infiltrating lymphocytes (TILs) in intertumoral lesions were scored using an automated system. CIN3 disease progression and regression rates were estimated by the Kaplan-Meier method. A case-control study was conducted to screen CIN2 prognostic factors in 10 regression and 10 progression patients. Selected factors were examined in a cohort study to determine their prognostic value for CIN2.
Among all participants, the cumulative progression and regression rates at 60 months were 0.477 and 0.510, respectively. In the case-control study, p16- and APOBEC3G-positive cells were higher in the progression group (p=0.043, p=0.023). Additionally, CD4 + cell infiltration was enhanced in the regression group (p=0.023). The cohort study revealed a significantly increased progression rate in patients with elevated p16-positive cells (p<0.001), and increased CD4 + TIL infiltration was associated with better regression (p=0.011). Kaplan-Meier analysis according to human papillomavirus (HPV) positivity revealed a greater CIN3 development risk in HPV16-positive patients than in HPV16-negative cases. Finally, multivariate analysis identified HPV16 infection and CD4 + TIL infiltration as independent prognostic factors in CIN2 regression.
CD4 + TIL infiltration in intertumoral lesions was related with CIN2 regression. Our findings suggest CD4 + TIL infiltration may be useful for the triage of CIN2 patients.
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