■肿瘤浸润和转移是肿瘤患者死亡的主要原因。血管生成是肿瘤生长和转移的先决条件。具有G补丁和FHA结构域的血管生成因子1(AGGF1)是一种血管生成因子,而泛素结合酶E2C(UBE2C)在蛋白质泛素化中起作用。微血管密度(MVD)是肿瘤微血管最常见的指标,和血管生成拟态(VM)促进肿瘤的血液供应。本研究探讨了UBE2C和AGGF1在非小细胞肺癌(NSCLC)中的表达及其与血管生成和预后的关系,以确定可能预测NSCLC浸润的生物学因素。转移,和预后。
■收集2013年1月至2015年12月手术切除后经病理证实的非小细胞肺癌患者标本及临床病理资料。UBE2C和AGGF1表达,以及非小细胞肺癌中的微血管形成和VM,使用免疫组织化学观察。UBE2C之间的关系,AGGF1,MVD,VM,分析临床病理参数及其与总生存期(OS)和无病生存期(DFS)的关系。
■NSCLC组织中UBE2C和AGGF1水平明显高于相应正常组织(57.1%vs15.6和59.7%vs25.3%,分别;P<0.05)。UBE2C,AGGF1,MVD,与VM呈正相关(P<0.05),且均与肿瘤大小有关,淋巴结转移,肿瘤淋巴结转移分期(P<0.05)。Kaplan-Meier分析显示,UBE2C中的患者OS和DFS,AGGF1,VM阳性,高MVD组降低(P均<0.001)。单因素和多因素分析表明,UBE2C,AGGF1、VM、MVD是影响NSCLC预后的独立危险因素。
■UBE2C和AGGF1过表达与血管生成和不良预后相关,可能对预测NSCLC侵袭有重要意义。转移,和预后。
UNASSIGNED: Tumor infiltration and metastasis are the leading causes of death for patients with tumors. Angiogenesis is a prerequisite for tumor growth and metastasis. Angiogenic factor with G patch and FHA domains 1 (
AGGF1) is an angiogenic factor, whereas ubiquitin-conjugating enzyme E2C (UBE2C) functions in protein ubiquitination. Microvessel density (MVD) is the most common indicator of tumor microvessels, and vasculogenic mimicry (VM) facilitates blood supply to tumors. This study explored UBE2C and
AGGF1 expression in non-small cell lung cancer (NSCLC) and their relationship with angiogenesis and prognosis to identify biological factors that might predict NSCLC infiltration, metastasis, and prognosis.
UNASSIGNED: The specimens and clinical pathological data of patients with NSCLC confirmed by pathology after surgical resection between January 2013 and December 2015 were collected. UBE2C and AGGF1 expression, as well as microvessel formation and VM in NSCLC, was observed using immunohistochemistry. The relationships between UBE2C, AGGF1, MVD, VM, and clinical pathological parameters and their relationships with overall survival (OS) and disease-free survival (DFS) were analyzed.
UNASSIGNED: UBE2C and
AGGF1 levels in NSCLC tissues were significantly higher than those in corresponding normal tissues (57.1% vs 15.6 and 59.7% vs 25.3%, respectively; P < 0.05). UBE2C,
AGGF1, MVD, and VM were positively correlated with each other (P < 0.05) and were all related to tumor size, lymph node metastasis, and tumor-node-metastasis stage (P < 0.05). Kaplan-Meier analysis showed that patient OS and DFS in the UBE2C, AGGF1, VM-positive, and high-MVD groups were reduced (all P < 0.001). Univariate and multivariate analyses showed that UBE2C,
AGGF1, VM, and MVD were independent risk factors for NSCLC prognosis.
UNASSIGNED: UBE2C and AGGF1 overexpression is associated with angiogenesis and poor prognosis and may be important for predicting NSCLC invasion, metastasis, and prognosis.