The role of molecular profiling in the diagnosis and management of metastatic undifferentiated cancer of unknown primary✰

基因表达谱 医学 计算生物学 临床试验 病理 分子诊断学 仿形(计算机编程) DNA甲基化 生物信息学 肿瘤科 生物 基因 基因表达 遗传学 计算机科学 操作系统
作者
Josephine K. Dermawan,Brian P. Rubin
出处
期刊:Seminars in Diagnostic Pathology [Elsevier BV]
卷期号:38 (6): 193-198 被引量:8
标识
DOI:10.1053/j.semdp.2020.12.001
摘要

Cancer of unknown primary (CUP) refers to metastatic tumors for which the primary tumor of origin cannot be determined at the time of diagnosis, despite extensive clinicopathologic investigations. Molecular profiling is increasingly able to predict a probable primary tumor type for CUP when clinicopathologic workup is inconclusive. Numerous studies have explored the use of various molecular profiling techniques for identification of site/tissue of origin of CUP. These techniques include gene expression profiling utilizing microarray, reverse transcriptase polymerase chain reaction, RNA-sequencing, somatic gene mutation profiling with next-generation DNA sequencing, and epigenomics including DNA methylation profiling. Despite the generally poor prognosis of CUP, a minority of patients can expect to benefit from targeted therapy despite being agnostic to the tissue of origin. Studies have explored the use of various molecular profiling techniques to predict prognostic and therapeutic biomarkers, with the goal of improving outcome for patients with CUP. However, discordant results between non-randomized and randomized clinical trials in evaluating tumor-type specific therapies raise uncertainties of the benefits of molecularly-predicted tissue of origin-based treatment in routine clinical use. Nevertheless, the current overall trend is in favor of using molecular tools to refine the diagnosis and clinical management of patients with CUP. More large-cohort, randomized prospective studies are needed to assess and validate the utility and feasibility of molecular profiling to uncover potentially targetable genetic alterations. These efforts will also yield further biological insights into the biology and pathogenesis of CUP (Graphical Abstract).
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
茹茵湖发布了新的文献求助20
刚刚
刚刚
newlife123发布了新的文献求助10
刚刚
一心完成签到,获得积分10
刚刚
务实的溪溪应助Relaxing采纳,获得10
刚刚
1秒前
俏皮飞风完成签到 ,获得积分10
1秒前
elang发布了新的文献求助10
1秒前
默柠发布了新的文献求助10
1秒前
Cuisine完成签到 ,获得积分10
2秒前
zasideler完成签到,获得积分10
2秒前
时运完成签到,获得积分10
2秒前
汤圆发布了新的文献求助10
2秒前
科研通AI6.1应助HL采纳,获得10
3秒前
dong发布了新的文献求助15
3秒前
搞怪的千秋完成签到,获得积分10
4秒前
木头人应助大王采纳,获得10
4秒前
赘婿应助橙子采纳,获得10
5秒前
羊布吃稻完成签到,获得积分10
5秒前
5秒前
wangchen完成签到,获得积分10
6秒前
星落发布了新的文献求助10
6秒前
fc457完成签到,获得积分10
6秒前
6秒前
曹道消发布了新的文献求助10
6秒前
池林完成签到,获得积分10
7秒前
追梦完成签到 ,获得积分0
7秒前
7秒前
8秒前
9秒前
lwroche完成签到,获得积分10
9秒前
10秒前
L318发布了新的文献求助10
10秒前
12秒前
12秒前
悦耳乌冬面完成签到,获得积分10
12秒前
健康的语山完成签到,获得积分10
13秒前
橘子完成签到,获得积分10
14秒前
无花果应助开心的鸡蛋黄采纳,获得10
14秒前
pct完成签到,获得积分10
14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
Cronologia da história de Macau 5000
咳嗽・喀痰の診療ガイドライン第2版2025 800
Petrology and Plate Tectonics 800
Prompt Engineering for Clinicians: Harnessing AI in Everyday Medical Practice 600
Electrode Potentials 550
《KNN基无铅压电陶瓷电学性能优化与物理机理研究》 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7007878
求助须知:如何正确求助?哪些是违规求助? 8682040
关于积分的说明 18403636
捐赠科研通 6491674
什么是DOI,文献DOI怎么找? 3103865
关于科研通互助平台的介绍 2172146
邀请新用户注册赠送积分活动 2079861