长非编码 RNA NEAT1 在体内外通过调控 miRNA-22-3p/akt2 促进肝细胞癌细胞增殖和侵袭并抑制其凋亡 [Retraction] (撤回)

IF 2.7 4区医学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

OncoTargets and therapy Pub Date : 2024-05-07 DOI:10.2147/ott.s476432

Xichang Zhou, Xiang Wang, Yizhou Zhou, Long Cheng, Youwei Zhang, Yangmei Zhang

引用次数: 0

摘要

长非编码 RNA NEAT1 通过调控 miRNA-22-3p/akt2 体外和体内促进肝细胞癌细胞增殖和侵袭并抑制其凋亡》一文的撤稿决定

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Long Noncoding RNA NEAT1 Promotes Cell Proliferation and Invasion and Suppresses Apoptosis in Hepatocellular Carcinoma by Regulating miRNA-22-3p/akt2 in vitro and in vivo [Retraction]

Retraction for the article Long Noncoding RNA NEAT1 Promotes Cell Proliferation And Invasion And Suppresses Apoptosis In Hepatocellular Carcinoma By Regulating miRNA-22-3p/akt2 In Vitro And In Vivo

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来源期刊

OncoTargets and therapy BIOTECHNOLOGY & APPLIED MICROBIOLOGY-ONCOLOGY

CiteScore

9.70

自引率

0.00%

发文量

221

审稿时长

1 months

期刊介绍： OncoTargets and Therapy is an international, peer-reviewed journal focusing on molecular aspects of cancer research, that is, the molecular diagnosis of and targeted molecular or precision therapy for all types of cancer. The journal is characterized by the rapid reporting of high-quality original research, basic science, reviews and evaluations, expert opinion and commentary that shed novel insight on a cancer or cancer subtype. Specific topics covered by the journal include: -Novel therapeutic targets and innovative agents -Novel therapeutic regimens for improved benefit and/or decreased side effects -Early stage clinical trials Further considerations when submitting to OncoTargets and Therapy: -Studies containing in vivo animal model data will be considered favorably. -Tissue microarray analyses will not be considered except in cases where they are supported by comprehensive biological studies involving multiple cell lines. -Biomarker association studies will be considered only when validated by comprehensive in vitro data and analysis of human tissue samples. -Studies utilizing publicly available data (e.g. GWAS/TCGA/GEO etc.) should add to the body of knowledge about a specific disease or relevant phenotype and must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Bioinformatics studies must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Single nucleotide polymorphism (SNP) studies will not be considered.