RETRACTION: Long Non-Coding RNA LOC554202 Promotes Laryngeal Squamous Cell Carcinoma Progression Through Regulating MiR-31

IF 2.8 3区生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of cellular biochemistry Pub Date : 2025-01-24 DOI:10.1002/jcb.30695

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引用次数: 0

Abstract

RETRACTION: S. Yang, J. Wang, W. Ge, and Y. Jiang, “Long Non-Coding RNA LOC554202 Promotes Laryngeal Squamous Cell Carcinoma Progression Through Regulating MiR-31,” Journal of Cellular Biochemistry 119, no. 8 (2018): 6953–6960, https://doi.org/10.1002/jcb.26902.

The above article, published online on 8 May 2018 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, Christian Behl, and Wiley Periodicals LLC. The expression of concern has been agreed due to third-party concerns related to the data presented in the article. Indicators for cloned image elements and inappropriate undeclared image modification were found in Figure 3D. Furthermore, several statements in the introduction are not sufficiently supported by the cited literature. Finally, the statements in the text referring to Figures 1C and 2C contradict the conclusions supported by the data. Accordingly, the article is retracted as the editors have lost confidence in the data presented.

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结论：长链非编码RNA LOC554202通过调控MiR-31促进喉部鳞状细胞癌的进展。

引用本文：杨淑娟，王军，葛文文，蒋艳，“长链非编码RNA LOC554202通过调控MiR-31促进喉部鳞状细胞癌的进展”，《细胞生物化学》，第11期。8 (2018): 6953-6960, https://doi.org/10.1002/jcb.26902。上述文章于2018年5月8日在线发表在Wiley在线图书馆（wileyonlinelibrary.com）上，经期刊主编Christian Behl和Wiley期刊有限责任公司协议撤回。由于第三方对文章中数据的担忧，已同意表达担忧。克隆图像元素和不适当的未声明的图像修改指标见图3D。此外，引言中的一些陈述没有得到引用文献的充分支持。最后，文中提到图1C和图2C的陈述与数据支持的结论相矛盾。因此，由于编辑对所提供的数据失去信心，文章被撤回。

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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来源期刊

Journal of cellular biochemistry 生物-生化与分子生物学

CiteScore

9.90

自引率

0.00%

发文量

164

审稿时长

1 months

期刊介绍： The Journal of Cellular Biochemistry publishes descriptions of original research in which complex cellular, pathogenic, clinical, or animal model systems are studied by biochemical, molecular, genetic, epigenetic or quantitative ultrastructural approaches. Submission of papers reporting genomic, proteomic, bioinformatics and systems biology approaches to identify and characterize parameters of biological control in a cellular context are encouraged. The areas covered include, but are not restricted to, conditions, agents, regulatory networks, or differentiation states that influence structure, cell cycle & growth control, structure-function relationships.