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. 2024 Feb 8;25(3):1022–1054. doi: 10.1038/s44319-024-00075-z

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© The Author(s) 2024

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the data associated with this article, unless otherwise stated in a credit line to the data, but does not extend to the graphical or creative elements of illustrations, charts, or figures. This waiver removes legal barriers to the re-use and mining of research data. According to standard scholarly practice, it is recommended to provide appropriate citation and attribution whenever technically possible.

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Figure EV5 — (A) Kaplan Meier curves depicting overall survival in CHOL patients and Pan-Cancer patients grouped based on LINC00313 median expression, using the Xena Functional Genomics Explorer from the UCSC. (B) Boxplots of LINC00313, ACTL6A, TCF7, WNT5A, AXIN2 and SULF2 transcripts per million (TPMs) in cholangiocarcinoma (CHOL) tumours (n = 36) and their paired normal tissues (n = 9), using GEPIA2. *p < 0.01. (C) Expression correlation of LINC00313 with TCF7 and AXIN2 in a cohort of 39 iCCA patients p < 0.05. Data information: In panel (A), log-rank test was used to compare the different Kaplan–Meier curves. In panel (B), transcript expression is shown in logarithmic scale and the method for differential analysis is one-way ANOVA, using disease state (tumour vs normal) as variable for calculating differential expression. The log₂FC cut-off equals 1 and the p-value cut-off equals 0.01. In panel (C) a two-tailed Student’s t-test was used to calculate p-values.