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<journal-meta>
<journal-id journal-id-type="nlm-ta">Molecular Medicine Reports</journal-id>
<journal-title-group>
<journal-title>Molecular Medicine Reports</journal-title>
</journal-title-group>
<issn pub-type="ppub">1791-2997</issn>
<issn pub-type="epub">1791-3004</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
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</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/mmr.2026.13976</article-id>
<article-id pub-id-type="publisher-id">MMR-34-4-13976</article-id>
<article-categories>
<subj-group>
<subject>Corrigendum</subject>
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</article-categories>
<title-group>
<article-title>[Corrigendum] Identification of key differentially expressed genes associated with non-small cell lung cancer by bioinformatics analyses</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Xiao</surname><given-names>Yubo</given-names></name>
</contrib>
<contrib contrib-type="author"><name><surname>Feng</surname><given-names>Min</given-names></name>
</contrib>
<contrib contrib-type="author"><name><surname>Ran</surname><given-names>Haiying</given-names></name>
</contrib>
<contrib contrib-type="author"><name><surname>Han</surname><given-names>Xiao</given-names></name>
</contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Xuegang</given-names></name>
</contrib>
</contrib-group>
<pub-date pub-type="collection"><month>10</month><year>2026</year></pub-date>
<pub-date pub-type="epub"><day>29</day><month>07</month><year>2026</year></pub-date>
<volume>34</volume>
<issue>4</issue>
<elocation-id>265</elocation-id>
<permissions>
<copyright-statement>Copyright: &#x00A9; Xiao et al.</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.</license-p></license>
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<p>Mol Med Rep 17: <related-article xmlns:xlink="http://www.w3.org/1999/xlink" related-article-type="corrected-article" vol="17" page="6379" id="RA1" xlink:href="10.3892/mmr.2018.8726" ext-link-type="doi">6379&#x2013;6386</related-article>, 2018; DOI: 10.3892/mmr.2018.8726</p>
<p>Subsequently to the publication of the above paper, an interested reader drew to the Editor&#x0027;s attention that the authors may have misstated the datasets used in their study at the start of the Results section. Specifically, at the beginning of the Materials and methods section (in the &#x201C;<italic>Affymetrix microarray data</italic>&#x201D; subsection), it is stated that &#x201C;Series matrix files of the microarray data: GSE21933, GSE33532, GSE44077 and GSE74706 were downloaded from the public GEO database&#x201D;, whereas in the first sentence of the Results section, in the &#x201C;<italic>Identification of DEGs</italic>&#x201D; subsection, it is stated &#x201C;In order to identify the DEGs, we downloaded 4 public RNA-seq datasets of NSCLC from the GEO database for our analysis: GSE21933, GSE33532, GSE44077 and GSE74706.&#x201D;</p>
<p>After having considered this comment by the external reader, the Editor of <italic>Molecular Medicine Reports</italic> has judged that the four datasets in question should have also been described as microarray datasets in the Results section of this paper. Although we have been unable to reach the authors in this regard, we are continuing to ask them to confirm that the text in the Results section was indeed written incorrectly. We apologize to the readership of the Journal for any confusion in this matter.</p>
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