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Object |
contentType |
Journal Article|Research Support, Non-U.S. Gov't |
endingPage |
6034 |
issn |
2045-7634 |
issueIdentifier |
17 |
pageRange |
6022-6034 |
publicationName |
Cancer Medicine |
startingPage |
6022 |
hasFundingAgency |
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_33e15b4a0c4267a52a56f20a7f02dc41 |
bibliographicCitation |
Guo L, Ding L, Tang J. Identification of a competing endogenous RNA axis "SVIL-AS1/miR-103a/ICE1" associated with chemoresistance in lung adenocarcinoma by comprehensive bioinformatics analysis. Cancer Med. 2021 Sep;10(17):6022–34. PMID: 34264003; PMCID: PMC8419767. |
creator |
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date |
2021-07-15^^<http://www.w3.org/2001/XMLSchema#date> |
identifier |
https://doi.org/10.1002/cam4.4132 https://pubmed.ncbi.nlm.nih.gov/PMC8419767 https://pubmed.ncbi.nlm.nih.gov/34264003 |
isPartOf |
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/40824 https://portal.issn.org/resource/ISSN/2045-7634 |
language |
English |
source |
https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/ |
title |
Identification of a competing endogenous RNA axis “SVIL‐AS1/miR‐103a/ICE1” associated with chemoresistance in lung adenocarcinoma by comprehensive bioinformatics analysis |
discusses |
http://id.nlm.nih.gov/mesh/M0019139 |
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discussesAsDerivedByTextMining |
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