关键词: CD105 aniogenesis ground glass nodules intratumoral micro-vascular density vascular morphology CD105 aniogenesis ground glass nodules intratumoral micro-vascular density vascular morphology

来  源:   DOI:10.3389/fonc.2022.956451   PDF(Pubmed)

Abstract:
Blood vessel passage on CT exerts a vital part in early diagnosis as well as treatment of carcinoma of the lungs. Intratumoral microvascular density (iMVD) has gradually become the focus of research on biological behavior, appearance, and evolution of malignant tumors nowadays. The aim of this paper was to verify whether there is a correlation between the iMVD and the vascular morphology of ground glass nodules (GGNs). A total of 109 patients with pulmonary GGN were classified into three groups (I,II, and III) according to the vascular morphology on CT, and their expression of CD31-, CD34-, and CD105-labeled iMVD was detected by the streptoavidin-biotin method, statistically analyzing the iMVD values of each group. The expression of CD31, CD34, and CD105 in different lung tissues was significantly different, with remarkably higher iMVD in lung cancer tissues than in adjacent normal lung tissues. In the imaging sort of types I, II, and III according to the means of vascular passage, the iMVD expression of CD31, CD34, and CD105 was significantly different between groups. These data suggest that the presence and the abnormal morphology of vessels seen within GGNs indicate the occurrence and progression of lung cancer in pathology. It offers a strong theoretical foundation for early diagnosis of carcinoma of the lungs, thus providing a more precise clinical diagnosis and prognosis of early-stage lung cancer.
摘要:
CT上的血管通道在肺癌的早期诊断和治疗中起着至关重要的作用。肿瘤内微血管密度(iMVD)逐渐成为生物学行为研究的热点,外观,以及当今恶性肿瘤的演变。本文的目的是验证iMVD与磨玻璃结节(GGNs)的血管形态之间是否存在相关性。将109例肺GGN患者分为三组(I,II,和III)根据CT上的血管形态,以及它们CD31-的表达,CD34-,和CD105标记的iMVD通过链脲抗生物素方法检测,统计分析各组的iMVD值。CD31、CD34、CD105在不同肺组织中的表达存在显著差异,肺癌组织的iMVD明显高于癌旁正常肺组织。在成像类型I中,II,和III根据血管通道的方式,CD31,CD34和CD105的iMVD表达在组间有显著差异.这些数据表明,在GGN中看到的血管的存在和异常形态表明肺癌在病理学上的发生和进展。它为肺癌的早期诊断提供了坚实的理论基础,从而为早期肺癌提供更准确的临床诊断和预后。
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