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垂体腺瘤复发的预后因素:近期进展与未来方向

Prognostic Factors for Recurrence in Pituitary Adenomas: Recent Progress and Future Directions.

作者信息

Lu Liang, Wan Xueyan, Xu Yu, Chen Juan, Shu Kai, Lei Ting

机构信息

Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.

出版信息

Diagnostics (Basel). 2022 Apr 13;12(4):977. doi: 10.3390/diagnostics12040977.

Abstract

Pituitary adenomas (PAs) are benign lesions; nonetheless, some PAs exhibit aggressive behaviors, which lead to recurrence. The impact of pituitary dysfunction, invasion-related risks, and other complications considerably affect the quality of life of patients with recurrent PAs. Reliable prognostic factors are needed for recurrent PAs but require confirmation. This review summarizes research progress on two aspects-namely, the clinical and biological factors (biomarkers) for recurrent PAs. Postoperative residue, age, immunohistological subtypes, invasion, tumor size, hormone levels, and postoperative radiotherapy can predict the risk of recurrence in patients with PAs. Additionally, biomarkers such as Ki-67, p53, cadherin, pituitary tumor transforming gene, matrix metalloproteinase-9, epidermal growth factor receptor, fascin actin-bundling protein 1, cyclooxygenase-2, and some miRNAs and lncRNAs may be utilized as valuable tools for predicting PA recurrence. As no single marker can independently predict PA recurrence, we introduce an array of comprehensive models and grading methods, including multiple prognostic factors, to predict the prognosis of PAs, which have shown good effectiveness and would be beneficial for predicting PA recurrence.

摘要

垂体腺瘤(PAs)是良性病变;然而,一些垂体腺瘤表现出侵袭性行为,导致复发。垂体功能障碍、侵袭相关风险和其他并发症的影响极大地影响了复发性垂体腺瘤患者的生活质量。复发性垂体腺瘤需要可靠的预后因素,但需要加以证实。本综述总结了关于复发性垂体腺瘤的两个方面的研究进展,即临床和生物学因素(生物标志物)。术后残留、年龄、免疫组织学亚型、侵袭、肿瘤大小、激素水平和术后放疗可以预测垂体腺瘤患者的复发风险。此外,诸如Ki-67、p53、钙黏蛋白、垂体肿瘤转化基因、基质金属蛋白酶-9、表皮生长因子受体、丝状肌动蛋白成束蛋白1、环氧化酶-2以及一些微小RNA和长链非编码RNA等生物标志物可能用作预测垂体腺瘤复发的有价值工具。由于没有单一标志物能够独立预测垂体腺瘤复发,我们介绍了一系列综合模型和分级方法,包括多个预后因素,以预测垂体腺瘤的预后,这些方法已显示出良好的有效性,将有助于预测垂体腺瘤复发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7ee/9024548/36ff65b4f187/diagnostics-12-00977-g001.jpg

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