Munoz Javier, Deshpande Anagha, Rimsza Lisa, Nowakowski Grzegorz S, Kurzrock Razelle
Department of Hematology, Mayo Clinic Arizona, Phoenix, AZ, USA.
Mayo Clinic Alix School of Medicine, Scottsdale, AZ, USA.
Cancer Treat Rev. 2024 Mar;124:102691. doi: 10.1016/j.ctrv.2024.102691. Epub 2024 Jan 17.
In treating diffuse large B-cell lymphoma (DLBCL), oncologists have traditionally relied on the chemotherapy backbone of R-CHOP as standard of care. The two dangers that the hematologist must navigate between are the aggressive disease (Charybdis that in the absence of therapy systematically destroys all the ships) and the toxicity of the therapies (Scylla with its six monstrous heads that devours six crew members at a time), and hematologists have to navigate very carefully between both. Therefore, three different strategies were employed with the goal of improving cure rates: de-escalating regimens, escalating regimens, and replacement strategies. With a replacement strategy, a breakthrough in treatment was identified with polatuzumab vedotin (anti-CD79B antibody/drug conjugate) plus R-CHP. However, this regimen still did not achieve the elusive universal cure rate. Fortunately, advances in genomic and molecular technologies have allowed for an improved understanding of the heterogenous molecular nature of the disease to help develop and guide more targeted, precise, and individualized therapies. Additionally, new pharmaceutical technologies have led to the development of novel cellular therapies, such as chimeric antigen receptor (CAR) T-cell therapy, that could be more effective, while maintaining an acceptable safety profile. Thus, we aim to highlight the challenges of DLBCL therapy as well as the need to address therapeutic regimens eventually no longer tethered to a chemotherapy backbone. In the intersection of artificial intelligence and multi-omics (genomics, epigenomics, transcriptomics, proteomics, metabolomics), we propose the need to analyze multidimensional biologic datato launch a decisive attack against DLBCL in a targeted and individualized fashion.
在治疗弥漫性大B细胞淋巴瘤(DLBCL)时,肿瘤学家传统上一直依赖R-CHOP化疗方案作为标准治疗方法。血液科医生必须在两种危险之间谨慎权衡:侵袭性疾病(就像喀耳刻,在没有治疗的情况下会系统性地摧毁所有船只)和治疗的毒性(就像斯库拉,长着六个巨大的头,每次吞噬六名船员),血液科医生必须在这两者之间小心翼翼地周旋。因此,为了提高治愈率,采用了三种不同的策略:降低强度的方案、强化方案和替代策略。在替代策略方面,发现了一种突破性的治疗方法,即泊洛妥珠单抗(抗CD79B抗体/药物偶联物)联合R-CHP。然而,这种方案仍未达到难以捉摸的普遍治愈率。幸运的是,基因组和分子技术的进步使人们对该疾病异质性分子本质有了更好的理解,有助于开发和指导更有针对性、更精确和个性化的治疗方法。此外,新的制药技术催生了新型细胞疗法的发展,如嵌合抗原受体(CAR)T细胞疗法,这种疗法可能更有效,同时保持可接受的安全性。因此,我们旨在强调DLBCL治疗的挑战以及解决最终不再依赖化疗方案的治疗方案的必要性。在人工智能与多组学(基因组学、表观基因组学、转录组学、蛋白质组学、代谢组学)的交叉领域,我们提出需要分析多维生物学数据,以便以有针对性和个性化的方式对DLBCL发起决定性攻击。