Prognostic and predictive value of vessels encapsulating tumor clusters (VETC) in renal cell carcinoma (RCC).

医学 舒尼替尼 帕唑帕尼 内科学 肿瘤科 肾细胞癌 危险系数 比例危险模型 置信区间
作者
Salvatore Lorenzo Renne,Marina Valeri,Matteo Perrino,Luca Di Tommaso,Luigi Terracciano,Piergiuseppe Colombo,Paolo Andrea Zucali
出处
期刊:Journal of Clinical Oncology [Lippincott Williams & Wilkins]
卷期号:39 (15_suppl): e16554-e16554 被引量:1
标识
DOI:10.1200/jco.2021.39.15_suppl.e16554
摘要

e16554 Background: VETC has been described as an epithelial-to-mesenchymal-transition independent process of metastasis in hepatocellular carcinoma (HCC): endothelium covers small clusters of neoplastic cells allowing tumor dissemination. It has also been noted that VETC-positive HCCs benefit more from tyrosine kinase inhibitors (TKI) therapy. Interestingly, this type of angiogenesis was also found in RCC - and other cancers - and associated with poor prognosis. The objectives of the present study are: 1) to investigate the prognostic role of VETC in a cohort of primary consecutive RCC. 2) to model the predictive role VETC to TKI response in a cohort of metastatic RCC patients treated with sunitinib or pazopanib. Methods: The study was observational and retrospective. To evaluate the VETC effect on overall survival (OS) for Cox regression, with power .8, Hazard Ratio 2.35, proportion of subject VETC+ .4, proportion of events .6, correlation among covariates .4 and a type I error rate .5, the estimated sample size was n=89. We included consecutive patients undergoing surgery at our institution for primary RCC from 2005 to 2007, (Surgical Series; n=92 cases). Moreover, to investigate the possible role of VETC in predicting TKIs benefit, we considered all RCC patients treated with first line TKIs at our center (TKI Series; sunitinib, n = 39; pazopanib n = 17), and recorded the progression free survival (PFS). VETC was assessed with CD34 immunohistochemistry and defined as a continuous endothelial lining around tumor clusters. We used Bayesian probabilistic modeling to detect small effects and multilevel hierarchical modeling to reduce overfitting. Models were fit using Stan and R. The study was approved by institutional review board (n. 865/20) and registered on ClinicalTrials.gov. Results: VETC+ RCC had a worse prognosis in the Surgical Series, with a posterior probability density (PPD) of median OS of 88 months (mo) (standard deviation, SD: 16 mo) for VETC positive Vs 136 mo (SD: 26 mo) for VETC-; the expected loss of median OS was 48 mo (SD: 31 mo) for patients having a VETC + RCC. Conversely in the TKI Series, VETC+ RCC showed longer PFS compared to VETC- ones: with sunitinib a PPD of median PFS of 35 mo (SD:11 mo) for VETC+ Vs 19 mo (SD: 5 mo) for VETC-. Under Pazopanib a PPD of median PFS of 20 mo (SD: 8 mo) for VETC+ Vs 11 mo (SD: 7 mo) for VETC-. The expected gain of median PFS for of VETC+ cases, was 17 and 9 mo (SD: 12 and 11 mo), respectively in sunitinib and pazopanib treated cases. Conclusions: Our results confirmed the general adverse prognostic role of VETC in RCC, however this phenotype gave a substantial PFS gain for patients treated with TKI, similarly to what have been observed in HCC. VETC could be a new predictive bio-marker that allows the delivery of a personalized treatment: patients affected by RCC might directly benefit from a better selection of already approved drugs.

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
YXHTCM完成签到,获得积分10
刚刚
烂漫的煎饼完成签到 ,获得积分10
1秒前
1秒前
俊逸星月完成签到,获得积分10
3秒前
zzj512682701完成签到,获得积分10
5秒前
单纯向雪完成签到 ,获得积分10
5秒前
123完成签到,获得积分10
6秒前
loga80完成签到,获得积分0
7秒前
7秒前
爱吃香菜完成签到,获得积分10
10秒前
韭黄完成签到,获得积分10
11秒前
小小完成签到 ,获得积分10
13秒前
开心的人杰完成签到,获得积分10
14秒前
15秒前
cclday完成签到,获得积分10
15秒前
鲁滨逊完成签到 ,获得积分10
15秒前
LI完成签到,获得积分10
18秒前
lmz完成签到 ,获得积分10
19秒前
20秒前
在水一方应助扯淡的阿九采纳,获得10
22秒前
Lotus完成签到,获得积分10
22秒前
青木完成签到 ,获得积分10
23秒前
panda完成签到,获得积分10
24秒前
ZH完成签到,获得积分0
24秒前
ccc发布了新的文献求助10
25秒前
三杠完成签到 ,获得积分10
26秒前
俊秀的思山完成签到,获得积分10
26秒前
xiong完成签到,获得积分10
27秒前
FFFFFFG完成签到,获得积分10
28秒前
尘远知山静完成签到 ,获得积分10
31秒前
33秒前
感性的俊驰完成签到 ,获得积分10
34秒前
青山完成签到 ,获得积分10
35秒前
隐形曼青应助ccc采纳,获得10
39秒前
我独舞完成签到 ,获得积分10
39秒前
英俊小兔子完成签到,获得积分10
41秒前
zhangj696完成签到,获得积分10
41秒前
melody完成签到,获得积分10
42秒前
乐观的翠琴完成签到 ,获得积分10
46秒前
feiyang完成签到 ,获得积分10
46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
Developing Genetic Editing Tools for Lysobacter 2000
Adhesion Science: Principles & Practice 800
The Graphene Handbook (2019 Edition) 700
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6530402
求助须知:如何正确求助?哪些是违规求助? 8323148
关于积分的说明 17818170
捐赠科研通 5631769
什么是DOI,文献DOI怎么找? 2932170
邀请新用户注册赠送积分活动 1908840
关于科研通互助平台的介绍 1768129