Frontline treatment of follicular lymphoma: what will it take to change current practice?

医学 滤泡性淋巴瘤 美罗华 不利影响 临床试验 重症监护医学 肿瘤科 内科学 生活质量(医疗保健) 淋巴瘤 护理部
作者
Emmanuel Bachy,Kim Linton
出处
期刊:Blood [Elsevier BV]
卷期号:146 (15): 1770-1781 被引量:3
标识
DOI:10.1182/blood.2024026019
摘要

Follicular lymphoma is the most common subtype of indolent lymphoma. Despite multiple trials over the past decades showing improved progression-free survival with new first-line therapeutic strategies, such as anti-CD20 maintenance therapy and new glycoengineered anti-CD20 antibodies, no standardized approach has been widely adopted in routine clinical practice. Several factors may explain this, including the increased incidence of infectious adverse events associated with these therapies, particularly during the COVID-19 pandemic, and the lack of overall survival benefit despite long-term follow-up. A consensus has emerged acknowledging the high prognostic variability of follicular lymphoma, which complicates the adoption of a one-size-fits-all first-line treatment strategy. A plethora of prognostic scores (Follicular Lymphoma International Prognostic Index [FLIPI], FLIPI2, PRIMA-Prognostic Index, m7-FLIPI, FLEX [Follicular Lymphoma Evaluation Index], 23-gene score, etc) has been proposed but none can reliably identify the ∼20% of patients who will die within 10 years of first-line immunochemotherapy and for whom a critical medical need remains despite recent therapeutic improvements. Consequently, current prognostic models mainly serve as tools to cross-compare and stratify clinical trials. In this review, we highlight current and future strategies aimed at reshaping frontline treatment paradigms to improve outcomes, including tailored approaches based on risk- or response-adapted designs, development of new predictive, rather than prognostic, tools, approaches to reduce adverse events to enhance health-related quality of life, and the potential use of T-cell-engaging therapies to improve survival in the highest risk patients.
最长约 10秒,即可获得该文献文件

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
刚刚
怡然白玉发布了新的文献求助10
1秒前
NexusExplorer应助Jonas采纳,获得10
1秒前
万能图书馆应助QEV采纳,获得10
2秒前
李健的小迷弟应助向北采纳,获得10
2秒前
帽子完成签到,获得积分20
2秒前
张雅露发布了新的文献求助10
2秒前
大气囧完成签到,获得积分10
3秒前
molihuakai应助4645采纳,获得10
3秒前
3秒前
王国向完成签到,获得积分10
3秒前
思源应助sky采纳,获得10
3秒前
3秒前
liao完成签到,获得积分10
4秒前
4秒前
上上签发布了新的文献求助10
4秒前
kunnao完成签到,获得积分10
4秒前
Yy完成签到 ,获得积分10
4秒前
打倒恶人完成签到,获得积分10
4秒前
4秒前
静水流深完成签到,获得积分10
5秒前
5秒前
YWY发布了新的文献求助10
6秒前
zncu发布了新的文献求助10
6秒前
17871635733完成签到,获得积分10
6秒前
satan9发布了新的文献求助20
6秒前
6秒前
潇洒夜安发布了新的文献求助10
7秒前
8秒前
YDSG完成签到,获得积分10
8秒前
充电宝应助splemeth采纳,获得10
9秒前
安若发布了新的文献求助10
9秒前
9秒前
叶远望完成签到,获得积分10
10秒前
研友_ZGR0jn完成签到,获得积分10
10秒前
10秒前
Hello应助FCL采纳,获得10
11秒前
李金玉发布了新的文献求助10
11秒前
小蘑菇应助street采纳,获得10
11秒前
小白白发布了新的文献求助10
11秒前
高分求助中
GL 2 A method for assessing the in-place cleanability of food processing equipment, Fourth Edition, December 2023 3000
Annie Ernaux: De la perte au corps glorieux 600
Writing Systems 500
类器官构建与应用:从基础到前沿 500
Electric Vehicle Powertrains Design Fundamentals, Components, and Applications 400
Handbook on Planning and Climate Change Adaptation 400
Optical Coating Design with the Essential Macleod 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6808835
求助须知:如何正确求助?哪些是违规求助? 8525333
关于积分的说明 18147826
捐赠科研通 6133280
什么是DOI,文献DOI怎么找? 3028929
邀请新用户注册赠送积分活动 2005519
关于科研通互助平台的介绍 2002926