The Society for Immunotherapy of Cancer Perspective on Liquid Biopsy and Radiomics Based Technologies for Immuno-Oncology Biomarker Discovery and Application

生物标志物 生物标志物发现 医学 医学物理学 无线电技术 新兴技术 生命银行 计算机科学 数据科学 生物信息学 人工智能 蛋白质组学 生物 生物化学 基因
作者
Anne Monette,Adriana Aguilar‐Mahecha,Emre Altınmakas,Mathew G. Angelos,Nima Assad,Gerald Batist,Praveen K. Bommareddy,Diana L. Bonilla,Christoph H. Borchers,Sarah E. Church,Gennaro Ciliberto,Alexandria P. Cogdill,Luigi Fattore,Nir Hacohen,Mohammad Haris,Vincent Lacasse,Wen‐Rong Lie,Arnav Mehta,Marco Ruella,Houssein Abdul Sater
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
标识
DOI:10.1158/1078-0432.ccr-24-3791
摘要

Abstract Immuno-oncology is increasingly becoming the standard of care for cancers, with the identification of biomarkers that reliably classify ICI response, resistance, and toxicity becoming the next frontier towards improvements in immunomodulatory treatment regimens. Recent advances in multi-parametric, multi-omics, and computational data platforms generating an unprecedented depth of data may assist in the discovery of increasingly robust biomarkers for enhanced patient selection and more personalized or longitudinal treatment approaches. Which emerging technologies to implement in future research and clinical settings, used alone or in combination, relies on weighing pros and cons that aid in maximizing data outputs whilst minimizing patient sampling, with high reproducibility and representativeness, and minimal turnaround time and data fragmentation towards later private and public dataset harmonization strategies. The Society for Immunotherapy of Cancer (SITC) Biomarkers Committee convened to identify important advances in biomarker technologies and to highlight advances in biomarker discovery using liquid biopsy and in vivo imaging technologies. We address advances in liquid biopsy technologies monitoring cells, proteins, nucleic acids, antibodies, and drugs or analytes, and radiomics technologies monitoring at the whole host-level imaging methods including immuno-PET and MRI technologies able to couple biomarker with physical location. We include a summary of key metrics obtained by these technologies, and their ease of interpretation, limitations and dependencies, technical improvements, and outward comparisons. By highlighting some of the most interesting recent examples contributed by these technologies, and providing examples improving outputs, we hope to guide correlative research directions and assist in their becoming clinically useful in immuno-oncology.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
蛋炒饭加洋葱应助wuran采纳,获得10
1秒前
斯文败类应助大海风采纳,获得10
1秒前
2秒前
lius发布了新的文献求助10
3秒前
3秒前
3秒前
火翼龙完成签到,获得积分10
4秒前
4秒前
鱼鱼发布了新的文献求助10
5秒前
bubble嘞发布了新的文献求助10
5秒前
6秒前
追寻荔枝发布了新的文献求助10
7秒前
乐观鸣凤完成签到,获得积分10
9秒前
陈文学完成签到,获得积分10
9秒前
迟迟发布了新的文献求助10
10秒前
crazzzzzy发布了新的文献求助10
10秒前
10秒前
学术蝗虫完成签到,获得积分10
12秒前
炙热尔烟完成签到,获得积分10
12秒前
bkagyin应助碧蓝雨旋采纳,获得10
14秒前
烟花应助追寻荔枝采纳,获得10
16秒前
快乐的雪巧应助木子采纳,获得10
16秒前
17秒前
汉堡包应助zzz采纳,获得10
17秒前
17秒前
打打应助陈文学采纳,获得10
18秒前
852应助crazzzzzy采纳,获得10
18秒前
JamesPei应助19111867526采纳,获得10
19秒前
lius完成签到,获得积分20
21秒前
21秒前
22秒前
温柔翰发布了新的文献求助10
23秒前
25秒前
Akim应助zzn采纳,获得10
25秒前
斯文败类应助粗犷的定帮采纳,获得10
26秒前
光明磊落完成签到,获得积分10
26秒前
lyon完成签到 ,获得积分10
27秒前
28秒前
小慕斯应助狂野世立采纳,获得10
28秒前
高分求助中
【请各位用户详细阅读此贴后再求助】科研通的精品贴汇总(请勿应助) 10000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Guideline No. 345: Primary Dysmenorrhea 500
Maritime Applications of Prolonged Casualty Care: Drowning and Hypothermia on an Amphibious Warship 500
Comparison analysis of Apple face ID in iPad Pro 13” with first use of metasurfaces for diffraction vs. iPhone 16 Pro 500
Towards a $2B optical metasurfaces opportunity by 2029: a cornerstone for augmented reality, an incremental innovation for imaging (YINTR24441) 500
Materials for Green Hydrogen Production 2026-2036: Technologies, Players, Forecasts 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4058932
求助须知:如何正确求助?哪些是违规求助? 3597231
关于积分的说明 11427902
捐赠科研通 3322187
什么是DOI,文献DOI怎么找? 1826759
邀请新用户注册赠送积分活动 897369
科研通“疑难数据库(出版商)”最低求助积分说明 818374