Upregulated ATG4B predicts poor prognosis and correlates with angiogenesis in osteosarcoma.

IF 2.1 Q3 ONCOLOGY
Elzahraa Ibrahim Mohamed Khalil, Fatma El Zahraa Ammar Mohamed, Rehab Kamal Mohamed
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引用次数: 0

Abstract

Background: Osteosarcoma (OS) is the most common primary bone cancer in children and adolescents. Between 35 and 45% of these patients do not respond to standard chemotherapeutic treatments, resulting in a very low 5-year survival rate of only 5-20%. This resistance often leads to treatment failure and unfavorable prognoses, highlighting the critical need for new therapeutic targets to improve treatment strategies. Autophagy-related gene 4 B (ATG4B) is a crucial cysteine protease for autophagosome formation. It is overexpressed and correlates with poor prognosis in various cancers. However, the relationship between ATG4B expression and angiogenesis in OS remains unexplored. This study investigated the expression levels of ATG4B and VEGF in OS and their correlation with clinicopathological data.

Materials and methods: This study included 67 paraffin-embedded OS tissue samples. ATG4B and VEGF expression levels were assessed via immunohistochemistry, and their associations with clinicopathological variables were statistically analyzed. Additionally, ATG4B gene expression in OS was examined via GEO datasets from https://www.ncbi.nlm.nih.gov .

Results: ATG4B and VEGF were expressed in 79.1% and 74.6% of the osteosarcoma samples, respectively. There was a significant positive correlation between ATG4B expression and tumor size, tumor stage, and histological response to neoadjuvant chemotherapy, with p values of 0.013, 0.008, and 0.022, respectively. VEGF expression was also significantly correlated with tumor size, tumor stage, and the presence of distant metastasis at diagnosis, with p values of 0.022, 0.044, and 0.013, respectively. A notable positive correlation between ATG4B and VEGF expression levels was observed (p=0.002), which was supported by the GEO dataset analysis. High ATG4B and VEGF overexpression were significantly associated with worse overall survival by univariate analysis.

Conclusions: The results suggest that ATG4B acts as a tumor promoter in OS, indicating its potential as a therapeutic target to inhibit tumor growth. Elevated ATG4B levels may also serve as a marker for poor prognosis. Additionally, VEGF overexpression is linked to a greater likelihood of pulmonary metastasis and a worse overall prognosis. The positive correlation between ATG4B and VEGF suggests that the absence of both markers could be indicative of a better chemotherapy response, offering insights into potential new treatment approaches.

上调ATG4B可预测骨肉瘤的不良预后并与血管生成相关。
背景:骨肉瘤(Osteosarcoma, OS)是儿童和青少年最常见的原发性骨癌。这些患者中有35%至45%对标准化疗没有反应,导致5年生存率非常低,只有5-20%。这种耐药往往导致治疗失败和不良预后,强调迫切需要新的治疗靶点来改善治疗策略。自噬相关基因4b (ATG4B)是自噬体形成的关键半胱氨酸蛋白酶。它在多种癌症中过度表达并与预后不良相关。然而,ATG4B表达与OS血管生成之间的关系尚不清楚。本研究探讨ATG4B和VEGF在OS中的表达水平及其与临床病理资料的相关性。材料和方法:本研究采用石蜡包埋的OS组织标本67份。免疫组化检测ATG4B、VEGF表达水平,并统计分析其与临床病理变量的相关性。此外,通过https://www.ncbi.nlm.nih.gov的GEO数据集检测了ATG4B基因在OS中的表达。结果:ATG4B和VEGF分别在79.1%和74.6%的骨肉瘤样本中表达。ATG4B表达与肿瘤大小、肿瘤分期、新辅助化疗组织学反应呈正相关,p值分别为0.013、0.008、0.022。VEGF表达与肿瘤大小、肿瘤分期、诊断时是否存在远处转移相关,p值分别为0.022、0.044、0.013。ATG4B与VEGF表达水平呈显著正相关(p=0.002), GEO数据集分析支持这一结论。单因素分析显示,高ATG4B和VEGF过表达与较差的总生存率显著相关。结论:结果提示ATG4B在OS中作为肿瘤启动子,提示其可能作为抑制肿瘤生长的治疗靶点。ATG4B水平升高也可作为预后不良的标志。此外,VEGF过表达与更大的肺转移可能性和更差的总体预后有关。ATG4B和VEGF之间的正相关表明,这两种标志物的缺失可能预示着更好的化疗反应,为潜在的新治疗方法提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
0.00%
发文量
46
审稿时长
11 weeks
期刊介绍: As the official publication of the National Cancer Institute, Cairo University, the Journal of the Egyptian National Cancer Institute (JENCI) is an open access peer-reviewed journal that publishes on the latest innovations in oncology and thereby, providing academics and clinicians a leading research platform. JENCI welcomes submissions pertaining to all fields of basic, applied and clinical cancer research. Main topics of interest include: local and systemic anticancer therapy (with specific interest on applied cancer research from developing countries); experimental oncology; early cancer detection; randomized trials (including negatives ones); and key emerging fields of personalized medicine, such as molecular pathology, bioinformatics, and biotechnologies.
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