Wang Xuanzhi, Li Mingwu, Jiang Xiaofeng, Wang Fei, Ling Shiying, Niu Chaoshi
Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.
Anhui Province Key Laboratory of Brain Function and Brain Disease, Hefei 230001, China.
Brain Sci. 2022 Jul 28;12(8):1002. doi: 10.3390/brainsci12081002.
Objective: The Ki-67 index is an indicator of the active proliferation and aggressive behavior of pituitary adenomas (PAs). Appropriate pre- and intra-operatives of the Ki-67 index can help surgeons develop better and more personalized treatment strategies for patients with PAs. This study aimed to investigate the influence factors for predicting the Ki-67 index in PAs. Methods: Data of 178 patients with PAs confirmed by pathology were retrospectively analyzed. According to the Ki-67 index, the patients were divided into the Ki-67 < 3% and Ki-67 ≥ 3% cohorts. Patient data, including age, sex, postoperative immunohistochemical pituitary hormone positive index, Knosp grade, tumor breaking through the sellar floor, rich blood supply to the tumor, tumor located inside the sella, erosion of the dorsum sellae bone, and pituitary-specific transcription factor, were collected. A univariate logistic analysis was used to evaluate the influence factors for a high Ki-67 index. Multiple regression and receiver operating characteristic (ROC) curve were used to analyze the factors with p < 0.05. The mutant status of Ki-67 index was predicted by nomogram. Results: Multivariate regression analysis showed that rich blood supply to the tumor and erosion of the dorsum sellae bone were independent risk factors for the Ki-67 proliferation index. The ROC curves demonstrated that age, rich blood supply to the tumor, and erosion of the dorsum sellae bone can predict the occurrence of a high Ki-67 index. Together, the three risk factors provide a stronger ability to predict the Ki-67 index. The nomogram was developed and validated. Conclusion: Age, rich blood supply to the tumor, and erosion of the dorsum sellae bone are influencing factors for predicting the Ki-67 index. Suitable nomogram prediction models were developed and validated, and there is potential for personalized treatment for PA patients.
Ki-67指数是垂体腺瘤(PA)活跃增殖和侵袭行为的指标。术前和术中对Ki-67指数的恰当评估有助于外科医生为PA患者制定更好、更个性化的治疗策略。本研究旨在探讨预测PA中Ki-67指数的影响因素。方法:回顾性分析178例经病理确诊的PA患者的数据。根据Ki-67指数,将患者分为Ki-67<3%和Ki-67≥3%两组。收集患者数据,包括年龄、性别、术后免疫组化垂体激素阳性指数、Knosp分级、肿瘤突破鞍底、肿瘤血供丰富、肿瘤位于鞍内、蝶鞍背骨质侵蚀以及垂体特异性转录因子。采用单因素逻辑回归分析评估高Ki-67指数的影响因素。使用多元回归和受试者工作特征(ROC)曲线分析p<0.05的因素。通过列线图预测Ki-67指数的突变状态。结果:多因素回归分析显示,肿瘤血供丰富和蝶鞍背骨质侵蚀是Ki-67增殖指数的独立危险因素。ROC曲线表明,年龄、肿瘤血供丰富和蝶鞍背骨质侵蚀可预测高Ki-67指数的发生。这三个危险因素共同提供了更强的预测Ki-67指数的能力。开发并验证了列线图。结论:年龄、肿瘤血供丰富和蝶鞍背骨质侵蚀是预测Ki-67指数的影响因素。开发并验证了合适的列线图预测模型,PA患者有个性化治疗的潜力。