Discriminating cancer-related and cancer-unrelated chemoradiation-response genes for locally advanced rectal cancers
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/srep36935.pdf
Reference42 articles.
1. Gollins, S. & Sebag-Montefiore, D. Neoadjuvant Treatment Strategies for Locally Advanced Rectal Cancer. Clinical oncology 28, 146–151 (2016).
2. Smith, J. J. & Garcia-Aguilar, J. Advances and challenges in treatment of locally advanced rectal cancer. Journal of clinical oncology 33, 1797–1808 (2015).
3. Kim, N. K. & Hur, H. New Perspectives on Predictive Biomarkers of Tumor Response and Their Clinical Application in Preoperative Chemoradiation Therapy for Rectal Cancer. Yonsei medical journal 56, 1461–1477 (2015).
4. Park, I. J. et al. Neoadjuvant treatment response as an early response indicator for patients with rectal cancer. Journal of clinical oncology 30, 1770–1776 (2012).
5. Conde-Muino, R. et al. Predictive Biomarkers to Chemoradiation in Locally Advanced Rectal Cancer. BioMed research international 2015, 921435 (2015).
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Clinical application of two-port laparoscopic surgery in sigmoid colon and upper rectal cancer resection;Frontiers in Oncology;2023-11-06
2. An Immune-Related Gene Signature for Predicting Neoadjuvant Chemoradiotherapy Efficacy in Rectal Carcinoma;Frontiers in Immunology;2022-05-06
3. Identification of potential key genes associated with osteosarcoma based on integrated bioinformatics analyses;Journal of Cellular Biochemistry;2019-03-28
4. A qualitative signature for predicting pathological response to neoadjuvant chemoradiation in locally advanced rectal cancers;Radiotherapy and Oncology;2018-10
5. Classification of Benign and Malignant Breast Mass in Digital Mammograms with Convolutional Neural Networks;Proceedings of the 2nd International Symposium on Image Computing and Digital Medicine - ISICDM 2018;2018
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3