Patient-derived orthotopic xenograft models for cancer of unknown primary precisely distinguish chemotherapy, and tumor-targeting S. typhimurium A1-R is superior to first-line chemotherapy

化疗 恶性肿瘤 医学 养生 癌症 肿瘤科 癌症研究 内科学
作者
Kentaro Miyake,Tasuku Kiyuna,Masuyo Miyake,Kei Kawaguchi,Sang Nam Yoon,Zhiying Zhang,Kentaro Igarashi,Sahar Razmjooei,Sintawat Wangsiricharoen,Takashi Murakami,Yunfeng Li,Scott D. Nelson,Tara A. Russell,Arun S. Singh,Yukihiko Hiroshima,Masashi Momiyama,Ryusei Matsuyama,Takashi Chishima,Shree Ram Singh,Itaru Endo
出处
期刊:Signal Transduction and Targeted Therapy [Springer Nature]
卷期号:3 (1) 被引量:8
标识
DOI:10.1038/s41392-018-0016-7
摘要

Abstract Cancer of unknown primary (CUP) is a recalcitrant disease with poor prognosis because it lacks standard first-line therapy. CUP consists of diverse malignancy groups, making personalized precision therapy essential. The present study aimed to identify an effective therapy for a CUP patient using a patient-derived orthotopic xenograft (PDOX) model. This paper reports the usefulness of the PDOX model to precisely identify effective and ineffective chemotherapy and to compare the efficacy of S. typhimurium A1-R with first-line chemotherapy using the CUP PDOX model. The present study is the first to use a CUP PDOX model, which was able to precisely distinguish the chemotherapeutic course. We found that a carboplatinum (CAR)-based regimen was effective for this CUP patient. We also demonstrated that S. typhimurium A1-R was more effective against the CUP tumor than first-line chemotherapy. Our results indicate that S. typhimurium A1-R has clinical potential for CUP, a resistant disease that requires effective therapy.
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
研友_Z6k5Q8发布了新的文献求助10
1秒前
细心梦竹完成签到,获得积分10
1秒前
zho发布了新的文献求助30
1秒前
优雅的猪完成签到,获得积分10
2秒前
2秒前
丘比特应助fff采纳,获得10
2秒前
在水一方应助snmdpy采纳,获得10
2秒前
科目三应助GT采纳,获得10
2秒前
3秒前
3秒前
烟花应助KKIV采纳,获得10
3秒前
4秒前
5秒前
5秒前
5秒前
BBbingbing发布了新的文献求助10
6秒前
issl发布了新的文献求助10
6秒前
???发布了新的文献求助10
8秒前
奇异完成签到 ,获得积分10
8秒前
8秒前
何姗悦发布了新的文献求助10
8秒前
NexusExplorer应助枕边人采纳,获得10
8秒前
9秒前
香蕉觅云应助小小章鱼采纳,获得10
9秒前
9秒前
10秒前
wendy完成签到,获得积分10
10秒前
慕容雅柏完成签到 ,获得积分10
10秒前
10秒前
xm发布了新的文献求助50
11秒前
海东来应助平淡的亦丝采纳,获得30
11秒前
空脑小白完成签到,获得积分10
11秒前
CodeCraft应助ATrueHero采纳,获得10
11秒前
12秒前
13秒前
Orange应助飞跃采纳,获得10
13秒前
加鱼发布了新的文献求助10
14秒前
14秒前
14秒前
15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
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Research on Disturbance Rejection Control Algorithm for Aerial Operation Robots 1000
Global Eyelash Assessment scale (GEA) 1000
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
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 4050274
求助须知:如何正确求助?哪些是违规求助? 3588504
关于积分的说明 11403149
捐赠科研通 3314890
什么是DOI,文献DOI怎么找? 1823409
邀请新用户注册赠送积分活动 895436
科研通“疑难数据库(出版商)”最低求助积分说明 816772