实体瘤是最常见的癌症形式。该疾病的诊断已取得了相当大的技术和医学进步。然而，早期发现疾病至关重要，但距离现实还很远。相反，对抗实体瘤的治疗和治疗领域仍处于起步阶段。化学疗法和放射疗法等传统治疗方法由于对健康细胞和癌细胞不加区别的影响而带来挑战。从上下文来看，有效的药物靶向是实体瘤治疗的关键方法。这涉及将药物精确输送到癌细胞，同时最大限度地减少对健康细胞的伤害。靶向药物在根除癌细胞方面表现出卓越的功效，同时阻止肿瘤生长，并通过优化吸收来减轻副作用，从而进一步降低耐药风险。此外，根据患者肿瘤特异性分子谱定制靶向治疗可以增强治疗效果并降低复发的可能性。本章讨论实体瘤的独特特征、早期发现疾病的可能性以及超越传统方法的潜在治疗角度。此外，本章还深入研究了迄今为止未知的磁场效应对靶癌细胞的影响，它利用了正常细胞对磁场的敏感性相对较低的特性，表明磁性纳米颗粒未来有可能选择性破坏癌细胞。最后，生物信息学工具和其他非常规方法（例如 AI 辅助密码子偏倚分析）在理解肿瘤生物学方面发挥着至关重要的作用，有助于识别未来的靶向疗法。版权所有 © 2024。由 Elsevier Inc. 出版。

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.Copyright © 2024. Published by Elsevier Inc.