亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Prediction of Response to Preoperative Chemoradiotherapy in Rectal Cancer by Using Reverse Transcriptase Polymerase Chain Reaction Analysis of Four Genes

放化疗 结直肠癌 医学 微阵列 实时聚合酶链反应 基因表达 逆转录酶 基因 逆转录聚合酶链式反应 微阵列分析技术 肿瘤科 聚合酶链反应 内科学 癌症 生物 遗传学
作者
Toshiaki Watanabe,Takashi Kobunai,Takashi Akiyoshi,Keiji Matsuda,Soichiro Ishihara,Keijiro Nozawa
出处
期刊:Diseases of The Colon & Rectum [Ovid Technologies (Wolters Kluwer)]
卷期号:57 (1): 23-31 被引量:48
标识
DOI:10.1097/01.dcr.0000437688.33795.9d
摘要

BACKGROUND: Patients with rectal cancer exhibit a wide spectrum of responses to chemoradiotherapy. Several gene expression signatures have been reported to predict the response to chemoradiotherapy in rectal cancer, but the lack of practical assays has restricted the clinical use of this technique. OBJECTIVE: We aimed to identify a set of discriminating genes that can be used for the clinical prediction of response to chemoradiotherapy in rectal cancer. DESIGN AND SETTINGS: This study is a retrospective analysis of tumor samples in a single institute. PATIENTS: Sixty-two patients who underwent preoperative chemoradiotherapy were studied. MAIN OUTCOME MEASURES: Gene expression was initially studied in 46 training samples by microarray analysis, and the association between gene expression and response to chemoradiotherapy was evaluated. Quantitative reverse transcriptase polymerase chain reaction was performed to validate the microarray expression levels of the discriminating genes. We developed a gene expression model for the prediction of response to chemoradiotherapy based on the reverse transcriptase polymerase chain reaction findings and validated it by using 16 independent test samples. RESULTS: We identified 24 discriminating probes with expression levels that differed significantly between responders and nonresponders. Among 18 genes identified by Gene Symbol, real-time reverse transcriptase polymerase chain reaction showed significant differences in the expression of 16 genes between responders and nonresponders. We constructed a predictive model by using different sets of these 16 genes, and the highest accuracy rate (89.1%) was obtained by using LRRIQ3, FRMD3, SAMD5, and TMC7. The predictive accuracy rate of this 4-gene signature in the independent set of 16 patients was 81.3%. LIMITATIONS: Validation in a different and large cohort of patients is necessary. CONCLUSIONS: The 4-gene signature identified in this study is closely associated with response to chemoradiotherapy in rectal cancer.

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
免疫学完成签到,获得积分10
7秒前
8秒前
缥缈老九发布了新的文献求助10
9秒前
善学以致用应助劳永杰采纳,获得10
10秒前
星辰大海应助科研通管家采纳,获得20
12秒前
英俊的铭应助科研通管家采纳,获得10
12秒前
天天快乐应助科研通管家采纳,获得10
12秒前
小马甲应助科研通管家采纳,获得10
12秒前
ZanE完成签到,获得积分10
13秒前
赛猪发布了新的文献求助10
13秒前
科研通AI6.3应助赛猪采纳,获得10
27秒前
30秒前
36秒前
免疫学关注了科研通微信公众号
42秒前
1分钟前
Nostalgia发布了新的文献求助10
1分钟前
wanci应助Nostalgia采纳,获得10
1分钟前
sunshineboy发布了新的文献求助10
1分钟前
1分钟前
辅助成灾发布了新的文献求助10
1分钟前
辅助成灾完成签到,获得积分10
1分钟前
成就念芹完成签到,获得积分10
1分钟前
好巧完成签到,获得积分10
2分钟前
2分钟前
wukong完成签到,获得积分10
2分钟前
2分钟前
8788完成签到,获得积分10
2分钟前
2分钟前
2分钟前
皮皮李发布了新的文献求助10
2分钟前
好巧发布了新的文献求助10
2分钟前
8788发布了新的文献求助10
2分钟前
辅助成灾发布了新的文献求助10
2分钟前
葛力完成签到,获得积分10
2分钟前
皮皮李完成签到,获得积分10
2分钟前
2分钟前
2分钟前
自觉语琴完成签到 ,获得积分10
2分钟前
加菲丰丰应助Antibody6采纳,获得20
2分钟前
邪恶摇粒绒完成签到,获得积分10
2分钟前
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
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
First commercial application of ELCRES™ HTV150A film in Nichicon capacitors for AC-DC inverters: SABIC at PCIM Europe 1000
Feldspar inclusion dating of ceramics and burnt stones 1000
Digital and Social Media Marketing 600
Zeolites: From Fundamentals to Emerging Applications 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5988173
求助须知:如何正确求助?哪些是违规求助? 7412256
关于积分的说明 16049279
捐赠科研通 5128977
什么是DOI,文献DOI怎么找? 2751874
邀请新用户注册赠送积分活动 1723438
关于科研通互助平台的介绍 1627202