肿瘤大小和位置对肾输尿管切除术后上尿路上皮癌患者生存的影响。

Shreyas S Joshi, Laura L Quast, Sam S Chang, Sanjay G Patel
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引用次数: 9

摘要

简介:上尿路上皮癌(UTUC)是一种罕见的疾病,几乎没有预后决定因素。我们试图评估肿瘤大小和位置对UTUC肾输尿管切除术后患者生存的影响。材料与方法:从美国国家癌症数据库(National Cancer database)对1998 - 2011年8284例接受根治性肾输尿管切除术治疗UTUC的患者数据进行分析。根据pT分期、pN分期、分级、肿瘤大小和肿瘤部位(肾盂vs输尿管)生成单变量生存曲线。采用Cox比例风险模型评估年龄、合并症、T分期、淋巴结累及、肿瘤部位和肿瘤大小对生存率的影响。结果:中位随访时间为46个月。男性居多(55.4%),肿瘤大小≥3.5 cm (52.0%), pT分期P = 0.023。结论:我们对接受肾输尿管切除术的UTUC患者进行了最大的研究,发现肿瘤较大(≥3.5 cm)患者的生存率较差,但在控制其他病理特征的情况下,肿瘤位置的生存率没有差异。将肿瘤大小纳入围手术期风险模型可能有助于患者分层,并为患者咨询提供进一步的预后信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Effects of tumor size and location on survival in upper tract urothelial carcinoma after nephroureterectomy.

Effects of tumor size and location on survival in upper tract urothelial carcinoma after nephroureterectomy.

Effects of tumor size and location on survival in upper tract urothelial carcinoma after nephroureterectomy.

Effects of tumor size and location on survival in upper tract urothelial carcinoma after nephroureterectomy.

Introduction: Upper Tract Urothelial Carcinoma (UTUC) is a rare disease with few prognostic determinants. We sought to evaluate the impact of tumor size and location on patient survival following nephroureterectomy for UTUC.

Materials and methods: Data on 8284 patients treated with radical nephroureterectomy for UTUC in the United States between 1998 and 2011 were analyzed from the National Cancer Data Base. Univariable survivorship curves were generated based on pT stage, pN stage, grade, tumor size, and tumor site (renal pelvis vs. ureter). A Cox proportional hazards model was used to evaluate the effect of age, comorbidity, T stage, lymph node involvement, tumor site, and tumor size on survival.

Results: The median follow-up time was 46 months. A majority of the patients were male (55.4%) with a tumor size of ≥3.5 cm (52.0%) and pT stage P = 0.023).

Conclusions: Using the largest series of patients with UTUC undergoing nephroureterectomy, we demonstrated a worse survival in patients with larger tumor sizes (≥3.5 cm) but no difference in survival based on tumor location while controlling for other pathologic characteristics. Incorporation of tumor size into perioperative risk modeling may help with patient stratification and provide further prognostic information for patient counseling.

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