Navigating between Scylla and Charybdis: A roadmap to do better than Pola-RCHP in DLBCL

医学 疾病 靶向治疗 重症监护医学 生物信息学 肿瘤科 内科学 癌症 生物
作者
Javier Muñoz,Anagha Deshpande,Lisa M. Rimsza,Grzegorz S. Nowakowski,Razelle Kurzrock
出处
期刊:Cancer Treatment Reviews [Elsevier]
卷期号:124: 102691-102691 被引量:3
标识
DOI:10.1016/j.ctrv.2024.102691
摘要

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 absence of therapy destroys systematically all the ships) and the toxicity of the therapies (Scylla with its six monstrous heads that devour 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 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 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 data to launch a decisive attack against DLBCL in a targeted and individualized fashion.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
GGB发布了新的文献求助10
刚刚
sunshine完成签到,获得积分10
1秒前
1秒前
Akim应助眼睛大巧荷采纳,获得10
1秒前
雨无意完成签到,获得积分10
1秒前
1秒前
1秒前
珺倪倪完成签到,获得积分10
1秒前
从容的完成签到 ,获得积分10
1秒前
XZZH完成签到,获得积分10
2秒前
吃不完的玉米完成签到,获得积分10
2秒前
2秒前
ganhykk完成签到,获得积分10
2秒前
3秒前
十九完成签到,获得积分10
3秒前
yungu完成签到,获得积分10
3秒前
漫漫完成签到,获得积分20
3秒前
自由的千筹完成签到,获得积分20
3秒前
3秒前
潇洒哈密瓜应助文件撤销了驳回
3秒前
czzlancer完成签到,获得积分10
4秒前
4秒前
李健的小迷弟应助YUAN采纳,获得10
4秒前
5秒前
面包完成签到,获得积分10
5秒前
领导范儿应助瑜軒采纳,获得10
5秒前
汉卿完成签到,获得积分10
5秒前
6秒前
6秒前
Terry驳回了Hello应助
6秒前
可乐大王发布了新的文献求助10
6秒前
Ujune发布了新的文献求助10
6秒前
6秒前
公冶君浩完成签到,获得积分10
6秒前
科研通AI6.3应助01231009yrjz采纳,获得10
7秒前
忧郁忆枫完成签到 ,获得积分10
7秒前
yjq发布了新的文献求助20
7秒前
8秒前
述己完成签到,获得积分10
8秒前
微凉完成签到 ,获得积分10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6052111
求助须知:如何正确求助?哪些是违规求助? 7865419
关于积分的说明 16272505
捐赠科研通 5197432
什么是DOI,文献DOI怎么找? 2781008
邀请新用户注册赠送积分活动 1763912
关于科研通互助平台的介绍 1645875