检测和靶向实体瘤的多方面观点
Multifaceted perspectives of detecting and targeting solid tumors
影响因子:6.42000
发表日期:2024
作者:
Abhishek Bhattacharya, Anjan Kr Dasgupta
摘要
实体瘤是癌症最普遍的形式。诊断该疾病已经取得了可观的技术和医学进步。但是，早期对疾病的检测至关重要，远非现实。相反，应对实体瘤的治疗和治疗区域仍处于起步阶段。传统治疗（例如化学疗法和放射疗法）由于对健康和癌细胞的影响而构成了挑战。在上下文上，有效的药物靶向是实体瘤治疗中的关键方法。这涉及将药物准确地递送到癌细胞，同时最大程度地减少对健康细胞的危害。靶向药物在根除癌细胞的同时表现出较高的功效，同时通过优化吸收来阻碍肿瘤生长并减轻副作用，从而进一步降低耐药性的风险。此外，针对患者的肿瘤特异性分子剖面量身定制靶向疗法增强了治疗功效，并降低了复发的可能性。本章讨论了实体瘤的独特特征，疾病早期发现的可能性以及传统方法以外的潜在治疗角度。此外，本章研究到迄今为止磁场效应的未知属性对靶向癌细胞的影响，与癌细胞相比，正常细胞对磁场的敏感性相对较小，这表明磁性纳米颗粒对选择性癌细胞破坏的未来潜力。最后，生物信息学工具和其他非常规的方法（例如AI辅助密码子分析）在理解肿瘤生物学方面具有至关重要的作用，这有助于鉴定未来派的靶向疗法。
Abstract
Solid tumors are the most prevalent form of cancer. Considerable technological and medical advancements had been achieved for the diagnosis of the disease. However, detection of the disease in an early stage is of utmost importance, still far from reality. On the contrary, the treatment and therapeutic area to combat solid tumors are still in its infancy. Conventional treatments like chemotherapy and radiation therapy pose challenges due to their indiscriminate impact on healthy and cancerous cells. Contextually, efficient drug targeting is a pivotal approach in solid tumor treatment. This involves the precise delivery of drugs to cancer cells while minimizing harm to healthy cells. Targeted drugs exhibit superior efficacy in eradicating cancer cells while impeding tumor growth and mitigate side effects by optimizing absorption which further diminishes the risk of resistance. Furthermore, tailoring targeted therapies to a patient's tumor-specific molecular profile augments treatment efficacy and reduces the likelihood of relapse. This chapter discuss about the distinctive characteristics of solid tumors, the possibility of early detection of the disease and potential therapeutic angle beyond the conventional approaches. Additionally, the chapter delves into a hitherto unknown attribute of magnetic field effect to target cancer cells which exploit the relatively less susceptibility of normal cells compared to cancer cells to magnetic fields, suggesting a future potential of magnetic nanoparticles for selective cancer cell destruction. Lastly, bioinformatics tools and other unconventional methodologies such as AI-assisted codon bias analysis have a crucial role in comprehending tumor biology, aiding in the identification of futuristic targeted therapies.