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. 2022 Jul 20;13(7):629. doi: 10.1038/s41419-022-05071-6

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — A Hierarchical clustering analysis of the differentially expressed lncRNAs in tumor tissues (T) and their adjacent normal sections (N) with OSCC sequencing is shown. B A list of the highly differential lncRNAs with their fold changes in expression and corresponding false discovery rate is presented. C HOXA10-AS expression in the paired normal and tumor tissues was measured by RT-qPCR assay and is presented as ΔCt method (n = 18). D Comparative expression profiles of HOXA10-AS transcript across different tumor types from the TCGA dataset are presented. E Kaplan–Meier survival curves of patients stratified according to HOXA10-AS expression are shown. The HOXA10-AS RNA expression of the clinical samples was measured and further ranked to assess the association between expression and the survival rate (n = 115).