Wilms' Tumor: A Review of Clinical Characteristics, Treatment Advances, and Research Opportunities.

IF 2.4 4区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Mihai Cristian Neagu, Vlad Laurenţiu David, Emil Radu Iacob, Sorin Dan Chiriac, Florin Lucian Muntean, Eugen Sorin Boia
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引用次数: 0

Abstract

Nephroblastoma is a complex childhood cancer with a generally favorable prognosis, well-defined incidence, and demographic profile but with significant challenges in terms of recurrence and long-term health outcomes. Although the management of this pathology has evolved, leading to improved survival rates, continued research into the long-term effects of treatment and the genetic factors influencing its development is still required. The survival landscape for Wilms tumor is evolving, with emerging research focusing on therapeutic biomarkers and genetic predispositions that influence treatment efficacy and survival rates. Identifying predictors for treatment response, such as specific genetic markers and histologic features, emerges as a critical area of study that could refine future interventions. The management of Wilms tumor is complex, taking into account the stage of the disease, histological classification, and individual patient factors, including age and the presence of syndromic associations. As treatment paradigms evolve, the integration of precision medicine approaches may enhance the ability of clinicians to personalize treatment to improve long-term survival outcomes for a broader range of patients. Recent advances in technology, including machine-learning approaches, have facilitated the identification of therapeutic biomarkers that correlate with clinical outcomes. This innovative method enhances the ability to integrate clinical and genetic data to predict disease trajectory and therapeutic response.

肾母细胞瘤:临床特征、治疗进展和研究机会综述。
肾母细胞瘤是一种复杂的儿童癌症,具有良好的预后、明确的发病率和人口统计学特征,但在复发和长期健康结局方面存在重大挑战。尽管这种病理的治疗已经发展,导致生存率提高,但仍然需要继续研究治疗的长期效果和影响其发展的遗传因素。Wilms肿瘤的生存前景正在发生变化,新兴研究集中在影响治疗疗效和生存率的治疗性生物标志物和遗传易感因素上。确定治疗反应的预测因素,如特定的遗传标记和组织学特征,成为一个关键的研究领域,可以改进未来的干预措施。肾母细胞瘤的治疗是复杂的,要考虑到疾病的分期、组织学分类和个体患者因素,包括年龄和综合征相关性的存在。随着治疗模式的发展,精准医学方法的整合可能会提高临床医生个性化治疗的能力,从而改善更大范围患者的长期生存结果。最近的技术进步,包括机器学习方法,促进了与临床结果相关的治疗性生物标志物的识别。这种创新的方法增强了整合临床和遗传数据来预测疾病轨迹和治疗反应的能力。
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
Medicina-Lithuania
Medicina-Lithuania 医学-医学:内科
CiteScore
3.30
自引率
3.80%
发文量
1578
审稿时长
25.04 days
期刊介绍: The journal’s main focus is on reviews as well as clinical and experimental investigations. The journal aims to advance knowledge related to problems in medicine in developing countries as well as developed economies, to disseminate research on global health, and to promote and foster prevention and treatment of diseases worldwide. MEDICINA publications cater to clinicians, diagnosticians and researchers, and serve as a forum to discuss the current status of health-related matters and their impact on a global and local scale.
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