Adenocarcinoma of the uterine cervix: prognostic significance of clinicopathologic parameters, flow cytometry analysis and HPV infection
Adenocarcinoma of the uterine cervix: prognostic significance of clinicopathologic parameters, flow cytometry analysis and HPV infection
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DOI：
10.1080/00016340801936560
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发表时间：
2008-01-01
影响因子：
4.3
通讯作者：
Jukic, Stanko
中科院分区：
文献类型：
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作者：
Dabic, Mirela M.;Nola, Marin;Jukic, Stanko
背景本研究旨在确定人乳头瘤病毒（HPV）感染状态（无感染、单次感染、多次感染）对宫颈腺癌患者生存的可能影响，将HPV状态与其他临床病理参数相关联，并检查临床、组织学和流式细胞术参数作为宫颈腺癌生存的预测因素。方法.分析了1978年至2004年在萨格勒布大学医学院妇产科治疗的51例宫颈腺癌患者的临床资料：发病年龄、月经状况、临床分期、复发率、生存率。确定了准确的组织学亚型、结构级别和细胞核级别。流式细胞术检测DNA倍体和增殖指数。聚合酶链反应（SPF引物），然后通过反向杂交进行基因分型，用于确定HPV状态。结果HPV感染的状态对患者的生存没有影响，并且与任何分析的临床病理学参数无关。单变量分析显示患者生存率与临床分期（p=0.002）和建筑等级（p=0.033）之间存在显著相关性。多变量分析证实这两个参数与生存率显著相关。月经状态、细胞核分级、DNA倍体和增殖活性对患者生存率无影响。结论临床分期和结构分级是宫颈腺癌患者生存的重要预测因素。HPV感染状况、流式细胞术参数、细胞核分级和月经状况不能预测患者的生存率。
Background. This study was designed to determine the possible impact of status of human papillomavirus (HPV) infection (no infection, single, multiple infections) on the survival of patients with cervical adenocarcinoma, to correlate the HPV status with other clinicopathologic parameters, and to examine clinical, histological and flow cytometric parameters as predictors of survival in cervical adenocarcinoma. Methods. The clinical data of 51 patients with adenocarcinoma of the cervix who were treated at the Department of Gynecology and Obstetrics, Zagreb University School of Medicine, from 1978 to 2004 were analysed: age at presentation, menstrual status, clinical stage, relapse, survival. Exact histologic subtype, architectural grade and nuclear grade were determined. DNA flow cytometry was performed to determine DNA ploidy and proliferative index. Polymerase chain reaction (SPF primers), followed by reverse hybridisation for genotyping, was used to determine the HPV status. Results. The status of HPV infection had no impact on patient survival, and could not be correlated with any of the analysed clinicopathologic parameters. Univariate analysis showed significant association between patient survival and clinical stage (p=0.002) and architectural grade (p=0.033). Multivariate analysis confirmed both parameters as significantly associated with survival. Menstrual status, nuclear grade, DNA ploidy and proliferative activity had no impact on patient survival. Conclusion. Clinical stage and architectural grade are significant predictors for survival of patients with cervical adenocarcinoma. Status of HPV infection, flow cytometric parameters, nuclear grade and menstrual status do not predict patient survival.