FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms-Reference-Cited by-同舟云学术

FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms

Published:2020-01 Issue:4 Volume:9 Page:1419-1429
ISSN:2045-7634
Container-title:Cancer Medicine
language:en
Short-container-title:Cancer Med

Author:

Lu Wei¹²,Fu Dongliang¹²,Kong Xiangxing¹²,Huang Zhiheng¹²,Hwang Maxwell¹²,Zhu Yingshuang¹²,Chen Liubo¹²,Jiang Kai¹²,Li Xinlin¹²,Wu Yihua³,Li Jun¹²,Yuan Ying²⁴^ORCID,Ding Kefeng¹²^ORCID

Affiliation:

1. Department of Colorectal Surgery The Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou Zhejiang China

2. Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang Province, China) The Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou Zhejiang China

3. Department of Toxicology School of Public Health Zhejiang University Hangzhou Zhejiang China

4. Department of Medical Oncology The Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou Zhejiang China

Publisher

Wiley

Subject

Cancer Research,Radiology Nuclear Medicine and imaging,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cam4.2786

Reference51 articles.

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4. Metastatic colorectal cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up

5. FOLFIRI Followed by FOLFOX6 or the Reverse Sequence in Advanced Colorectal Cancer: A Randomized GERCOR Study

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