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. 2021 Jun 5;7:135. doi: 10.1038/s41420-021-00520-1

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© The Author(s) 2021

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. 2 — A Heat-map of the microarray results (GSE42407) of the mRNA expression of glycolytic enzyme in CL1-5 lung cancer cells compared to CL1-0 cells. B KEGG predicts potential canonical pathways and gene annotation by >2.0-fold-change in CL1-5 cells. C A global meta-analysis of expression of several glycolytic genes using the PrognoScan database. The hazard ratio (HR) at a 95% confidence interval (CI) is shown and is accompanied by the range of HR values from lowest to highest in a forest plot. D Quantification of PGK1 expression by in-silico analysis of lung cancer patients by each corresponding clinical event (EGFR mutant, KRAS mutant, and ALK fusion status).