Identification of the predictive genes for the response of colorectal cancer patients to FOLFOX therapy

福克斯 医学 结直肠癌 肿瘤科 内科学 化疗 生物标志物 放射治疗 癌症 奥沙利铂 生物化学 化学
作者
Hengjun Lin,Xueke Qiu,Bo Zhang,Jichao Zhang
出处
期刊:OncoTargets and Therapy [Dove Medical Press]
卷期号:Volume 11: 5943-5955 被引量:12
标识
DOI:10.2147/ott.s167656
摘要

Colorectal cancer is a malignant tumor with high death rate. Chemotherapy, radiotherapy and surgery are the three common treatments of colorectal cancer. For early colorectal cancer patients, postoperative adjuvant chemotherapy can reduce the risk of recurrence. For advanced colorectal cancer patients, palliative chemotherapy can significantly improve the life quality of patients and prolong survival. FOLFOX is one of the mainstream chemotherapies in colorectal cancer, however, its response rate is only about 50%.To systematically investigate why some of the colorectal cancer patients have response to FOLFOX therapy while others do not, we searched all publicly available database and combined three gene expression datasets of colorectal cancer patients with FOLFOX therapy. With advanced minimal redundancy maximal relevance and incremental feature selection method, we identified the biomarker genes.A Support Vector Machine-based classifier was constructed to predict the response of colorectal cancer patients to FOLFOX therapy. Its accuracy, sensitivity and specificity were 0.854, 0.845 and 0.863, respectively.The biological analysis of representative biomarker genes suggested that apoptosis and inflammation signaling pathways were essential for the response of colorectal cancer patients to FOLFOX chemotherapy.

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
琦琦完成签到,获得积分20
刚刚
李健应助沉静冥茗采纳,获得10
刚刚
星辰大海应助活力万言采纳,获得10
1秒前
hsy309发布了新的文献求助30
1秒前
2秒前
Decline发布了新的文献求助10
2秒前
2秒前
ChenXinde发布了新的文献求助10
2秒前
易水完成签到 ,获得积分10
2秒前
4秒前
Lucas应助熏熏采纳,获得10
4秒前
cc完成签到,获得积分10
5秒前
5秒前
李健的小迷弟应助医生采纳,获得10
6秒前
量子星尘发布了新的文献求助10
7秒前
hcl发布了新的文献求助10
7秒前
iyoi应助Jin采纳,获得10
7秒前
我是老大应助HR112采纳,获得10
7秒前
Zinc发布了新的文献求助10
7秒前
慕青应助花开的声音1217采纳,获得10
7秒前
土豪的钻石完成签到,获得积分10
7秒前
7秒前
8秒前
8秒前
9秒前
友好的平蓝关注了科研通微信公众号
9秒前
充电宝应助sc采纳,获得10
10秒前
11秒前
11秒前
simon完成签到,获得积分10
12秒前
12秒前
领导范儿应助蓝橙采纳,获得10
13秒前
Twonej应助Grace_X采纳,获得30
13秒前
琦琦发布了新的文献求助10
14秒前
星辰大海应助小乐采纳,获得10
16秒前
老北京发布了新的文献求助10
17秒前
熏熏发布了新的文献求助10
17秒前
liuxl完成签到,获得积分10
17秒前
zyb完成签到 ,获得积分10
17秒前
zyyyyyy发布了新的文献求助10
17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
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Contemporary Debates in Epistemology (3rd Edition) 1000
International Arbitration Law and Practice 1000
文献PREDICTION EQUATIONS FOR SHIPS' TURNING CIRCLES或期刊Transactions of the North East Coast Institution of Engineers and Shipbuilders第95卷 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
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 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6160390
求助须知:如何正确求助?哪些是违规求助? 7988687
关于积分的说明 16605563
捐赠科研通 5268631
什么是DOI,文献DOI怎么找? 2811172
邀请新用户注册赠送积分活动 1791287
关于科研通互助平台的介绍 1658143