Biomarkers predicting the response to chemotherapy and the prognosis in patients with esophageal squamous cell carcinoma

医学 内科学 基底细胞 肿瘤科 食管鳞状细胞癌 化疗 癌症研究
作者
Seiya Inoue,Takahiro Yoshida,Takeshi Nishino,Masakazu Goto,Mariko Aoyama,Naoya Kawakita,Yota Yamamoto,Yoshihito Furukita,Hiromitsu Takizawa,Akira Tangoku
出处
期刊:General thoracic and cardiovascular surgery [Springer Science+Business Media]
卷期号:69 (3): 525-533 被引量:3
标识
DOI:10.1007/s11748-021-01586-5
摘要

The prognosis of patients with esophageal squamous cell carcinoma (ESCC) has been improved by multidisciplinary therapy with chemoradiotherapy and surgery, but it remains poor. Advanced stage, malignant potential, and chemo-resistance contribute to the poor prognosis. Here, we attempted to identify predictive factors of the response to chemotherapy and the prognosis of ESCC patients. We examined 51 ESCC patients who were treated with chemotherapy followed by radical surgery, and 23 patients who were treated with chemotherapy alone. We conducted quantitative reverse transcription-polymerase chain reaction gene expression analysis using RNA extracted from 74 tumor tissue samples collected before chemotherapy and 67 tumor tissue samples collected after chemotherapy, focusing on PIK3CA, AKT-1, mTOR, 4E-BP1, p70S6K, PD-L1, and PD-L2. The proportions of patients with high expressions of AKT-1 and PD-L1 before chemotherapy were significantly higher among the non-responders than among the responders (p = 0.034, p = 0.020, respectively). Multivariate analyses revealed that high PD-L1 expression before chemotherapy was associated with poor response to chemotherapy (odds ratio 2.998; 95% CI 1.043–8.619; p = 0.042) and high p70S6K expression before chemotherapy was a poor prognostic factor (hazard ratio 2.518; 95% CI 1.058–5.988; p = 0.037). In addition, the patients with high expression of PD-L1 and PD-L2 in the tumors after chemotherapy had significantly worse survival than those with low expression of these genes (p = 0.012, p = 0.007, respectively). These results demonstrated that PD-L1 and p70S6K in the primary ESCC tissues were related to a poor response to chemotherapy and poor prognosis, respectively.

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
米猪发布了新的文献求助10
刚刚
yxf完成签到,获得积分10
刚刚
刚刚
刚刚
panghu发布了新的文献求助20
刚刚
科研通AI6.4应助tjolinchen采纳,获得10
刚刚
深情安青应助moon采纳,获得10
1秒前
杨书凡完成签到,获得积分20
1秒前
英俊的铭应助niusama采纳,获得10
1秒前
刘馨徽发布了新的文献求助10
1秒前
2秒前
六六完成签到,获得积分10
2秒前
TD发布了新的文献求助10
2秒前
哈哈哈完成签到,获得积分10
2秒前
yang完成签到,获得积分20
3秒前
young发布了新的文献求助10
3秒前
小蘑菇应助Samming采纳,获得10
3秒前
3秒前
友好饼干完成签到 ,获得积分10
3秒前
王a完成签到,获得积分10
4秒前
大大鱼完成签到,获得积分10
4秒前
4秒前
5秒前
5秒前
愉快惜寒发布了新的文献求助10
5秒前
6秒前
随风守着她应助研究啥采纳,获得10
6秒前
情怀应助我不到啊采纳,获得10
6秒前
6秒前
unique发布了新的文献求助10
6秒前
6秒前
我是老大应助yang采纳,获得10
6秒前
liuyu发布了新的文献求助10
7秒前
tanpan完成签到,获得积分10
7秒前
7秒前
Hello应助lishuai采纳,获得10
7秒前
8秒前
8秒前
8秒前
FashionBoy应助平常听兰采纳,获得10
8秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7300859
求助须知:如何正确求助?哪些是违规求助? 8919138
关于积分的说明 18890357
捐赠科研通 6965650
什么是DOI,文献DOI怎么找? 3211260
关于科研通互助平台的介绍 2380360
邀请新用户注册赠送积分活动 2188010