Establishment and characterization of uterine sarcoma and carcinosarcoma patient-derived xenograft models

癌肉瘤 医学 细胞角蛋白 肉瘤 波形蛋白 免疫组织化学 病理 肉瘤样癌 癌症研究 平滑肌肉瘤
作者
Tine Cuppens,Jeroen Depreeuw,Daniela Annibali,Debby Thomas,Els Hermans,Ellen Gommé,Xuan Bich Trinh,David Debruyne,Philippe Moerman,Diether Lambrechts,Frédéric Amant
出处
期刊:Gynecologic Oncology [Elsevier]
卷期号:146 (3): 538-545 被引量:16
标识
DOI:10.1016/j.ygyno.2017.06.005
摘要

Uterine sarcomas (US) and carcinosarcomas (CS) are rare, aggressive cancers. The lack of reliable preclinical models hampers the search for new treatment strategies and predictive biomarkers. To this end, we established and characterized US and CS patient-derived xenograft (PDX) models.Tumor fragments of US and CS were subcutaneously implanted into immunocompromised mice. Engrafted xenograft and original tumors were compared by means of histology, immunohistochemistry, whole-genome low-coverage sequencing for copy number variations, and RNA sequencing.Of 13 implanted leiomyosarcomas (LMS), 10 engrafted (engraftment rate of 77%). Also 2 out of 7 CS (29%) and one high-grade US (not otherwise specified) models were successfully established. LMS xenografts showed high histological similarity to their corresponding human tumors. Expression of desmin and/or H-caldesmon was detected in 8/10 LMS PDX models. We noticed that in CS models, characterized by the concomitant presence of a mesenchymal and an epithelial component, the relative distribution of the components is varying over the generations, as confirmed by changes in vimentin and cytokeratin expression. The similarity in copy number profiles between original and xenograft tumors ranged from 57.7% to 98.2% for LMS models and from 47.4 to 65.8% for CS models. Expression pattern stability was assessed by clustering RNA expression levels of original and xenograft tumors. Six xenografts clustered together with their original tumor, while 3 (all LMS) clustered apart.We present here a panel of clinically annotated uterine sarcoma and carcinosarcoma PDX models, which will be a useful tool for preclinical testing of new therapies.
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
Sea_moon完成签到,获得积分10
刚刚
李健应助月月鸟采纳,获得10
1秒前
1秒前
Jason完成签到 ,获得积分10
3秒前
科研通AI6应助刘大大采纳,获得10
4秒前
4秒前
上官若男应助调皮蛋采纳,获得10
4秒前
5秒前
山楂发布了新的文献求助10
6秒前
云舒完成签到,获得积分10
6秒前
桐桐应助小飞采纳,获得10
7秒前
温暖的以旋完成签到,获得积分10
8秒前
长大lwp完成签到,获得积分10
8秒前
9秒前
顺利白柏完成签到 ,获得积分10
9秒前
自由海秋关注了科研通微信公众号
9秒前
上官若男应助司徒碧菡采纳,获得10
10秒前
山楂完成签到,获得积分10
10秒前
榕俊完成签到,获得积分10
10秒前
华仔应助QianShenYu采纳,获得10
11秒前
wuti完成签到,获得积分10
13秒前
14秒前
WLWLW应助谨慎的擎宇采纳,获得30
15秒前
15秒前
NeoWu完成签到,获得积分10
16秒前
大聪明应助爱吃蔬菜采纳,获得10
18秒前
林子鸿完成签到 ,获得积分10
18秒前
调皮蛋发布了新的文献求助10
19秒前
鳙鱼完成签到 ,获得积分10
20秒前
拍肩大帝陈灵均完成签到 ,获得积分10
20秒前
Orange应助小木子采纳,获得10
20秒前
21秒前
烤冷面发布了新的文献求助30
21秒前
liziming完成签到,获得积分10
22秒前
22秒前
哎呀妈呀完成签到,获得积分10
22秒前
科研通AI6应助科研通管家采纳,获得30
23秒前
科研通AI6应助科研通管家采纳,获得10
23秒前
所所应助科研通管家采纳,获得10
23秒前
大个应助科研通管家采纳,获得10
23秒前
高分求助中
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
Constitutional and Administrative Law 1000
Questioning sequences in the classroom 700
Microbially Influenced Corrosion of Materials 500
Die Fliegen der Palaearktischen Region. Familie 64 g: Larvaevorinae (Tachininae). 1975 500
The Experimental Biology of Bryophytes 500
Rural Geographies People, Place and the Countryside 400
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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5379399
求助须知:如何正确求助?哪些是违规求助? 4503761
关于积分的说明 14016516
捐赠科研通 4412511
什么是DOI,文献DOI怎么找? 2423853
邀请新用户注册赠送积分活动 1416678
关于科研通互助平台的介绍 1394244