Estrogen Promotes Resistance to Bevacizumab in Murine Models of NSCLC

医学 富维斯特朗 贝伐单抗 雌激素 血管生成 血管内皮生长因子 癌症研究 内科学 雌激素受体 肿瘤科 内分泌学
作者
S. Patel,Matthew H. Herynk,Tina Cascone,Babita Saigal,Monique B. Nilsson,Hai T. Tran,Sumankalai Ramachandran,Lixia Diao,Jing Wang,Xiuning Le,John D. Minna,Ignacio I. Wistuba,John V. Heymach
出处
期刊:Journal of Thoracic Oncology [Elsevier]
卷期号:16 (12): 2051-2064 被引量:2
标识
DOI:10.1016/j.jtho.2021.07.007
摘要

Subgroup analyses from clinical studies have suggested that among patients with metastatic NSCLC receiving chemotherapy, females may derive less benefit from the addition of the vascular endothelial growth factor (VEGF) monoclonal antibody bevacizumab (BV) than males. This has raised the question of whether estrogen may affect the response to antiangiogenic therapy.To address this, we investigated the effects of estrogen on tumor growth, angiogenesis, and the response to BV in human xenograft models of NSCLC.We observed that estrogen induced marked resistance to BV, which was accompanied by a 2.3-fold increase in tumor vascular pericyte coverage (p = 0.01) and an up-regulation of proangiogenic factors, VEGF and platelet-derived growth factor-BB. We also investigated the role of infiltrating myeloid cells, a population that has been associated with resistance to anti-VEGF therapies. We observed that estrogen induced a greater than twofold increase (p = 0.001) in the recruitment of tumor-infiltrating myeloid cells and concomitant increases in the myeloid recruitment factors, G-CSF and CXCL1. Blockade of the estrogen receptor pathway using fulvestrant resensitized tumors to VEGF targeting as evidenced by reduced tumor vasculature and an increase in overall survival in our NSCLC xenograft models.Collectively, these data provide evidence that estrogen may promote resistance to VEGF-targeted therapies, potentially by enhancing pericyte coverage and myeloid recruitment, and suggest that estrogen receptor blockade merits further investigation as an approach to enhance the effects of antiangiogenic 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
大幅提高文件上传限制,最高150M (2024-4-1)

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
Della666发布了新的文献求助10
刚刚
1秒前
不晚发布了新的文献求助10
3秒前
小王发布了新的文献求助10
4秒前
6秒前
jiangfei完成签到,获得积分10
10秒前
不晚完成签到,获得积分10
10秒前
12秒前
Della666完成签到,获得积分10
13秒前
AARON发布了新的文献求助80
15秒前
20秒前
完美世界应助贝壳风铃采纳,获得10
20秒前
21秒前
cheng发布了新的文献求助10
25秒前
香蕉觅云应助heyyy采纳,获得30
26秒前
27秒前
28秒前
MYLF发布了新的文献求助10
30秒前
华仔应助小王采纳,获得10
30秒前
31秒前
贝壳风铃发布了新的文献求助10
33秒前
ephore应助玄烛采纳,获得30
35秒前
互助遵法尚德应助郭文汇采纳,获得10
35秒前
38秒前
38秒前
41秒前
丘比特应助victory_liu采纳,获得10
42秒前
互助遵法尚德应助郭文汇采纳,获得10
43秒前
斑马,斑发布了新的文献求助30
43秒前
宜醉宜游宜睡应助小胡采纳,获得10
44秒前
VensonF完成签到,获得积分10
44秒前
44秒前
婷婷发布了新的文献求助10
48秒前
sssssssss发布了新的文献求助10
48秒前
DDJoy发布了新的文献求助10
49秒前
VensonF发布了新的文献求助10
49秒前
50秒前
隐形曼青应助仔wang采纳,获得10
50秒前
MYLF完成签到,获得积分10
51秒前
科研通AI2S应助lvsehx采纳,获得10
52秒前
高分求助中
The Illustrated History of Gymnastics 800
The Bourse of Babylon : market quotations in the astronomical diaries of Babylonia 680
Division and square root. Digit-recurrence algorithms and implementations 500
機能營養學前瞻(3 Ed.) 300
Problems of transcultural communication 300
Zwischen Selbstbestimmung und Selbstbehauptung 300
Johann Gottlieb Fichte: Die späten wissenschaftlichen Vorlesungen / IV,1: ›Transzendentale Logik I (1812)‹ 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 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 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2504369
求助须知:如何正确求助?哪些是违规求助? 2157644
关于积分的说明 5522118
捐赠科研通 1878007
什么是DOI,文献DOI怎么找? 934105
版权声明 563932
科研通“疑难数据库(出版商)”最低求助积分说明 498907