Identification of a competing endogenous RNA axis “SVIL‐AS1/miR‐103a/ICE1” associated with chemoresistance in lung adenocarcinoma by comprehensive bioinformatics analysis-Reference-Cited by-同舟云学术

Identification of a competing endogenous RNA axis “SVIL‐AS1/miR‐103a/ICE1” associated with chemoresistance in lung adenocarcinoma by comprehensive bioinformatics analysis

Published:2021-07-15 Issue:17 Volume:10 Page:6022-6034
ISSN:2045-7634
Container-title:Cancer Medicine
language:en
Short-container-title:Cancer Med

Author:

Guo Lili¹,Ding Lina²,Tang Junfang¹^ORCID

Affiliation:

1. Department of Medical Oncology Beijing Tuberculosis and Thoracic Tumor Research Institute Beijing Chest Hospital Capital Medical University Beijing China

2. Key Laboratory of Henan Province for Drug Quality and Evaluation School of Pharmaceutical Sciences Ministry of Education of ChinaZhengzhou University Zhengzhou P.R. China

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cam4.4132

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4. FAM83A Is a Prognosis Signature and Potential Oncogene of Lung Adenocarcinoma

5. Chemotherapy for Advanced-Stage Non–Small Cell Lung Cancer

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