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. 2023 Jan 30;42:37. doi: 10.1186/s13046-023-02606-3

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© The Author(s) 2023

Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — Genomic profiles of refractory lung cancer patient-derived cells (PDCs) for pharmacogenomic analysis. A Graphical workflow of pharmacogenomic analysis of lung cancer PDCs. B Gene expression and mutation profile comparison of our PDCs with TCGA samples. The scatterplot presents the principal component analysis for TCGA tumors, normal tissue samples, and PDCs. The bar plot indicates the mutation frequency of TCGA samples and PDCs. TCGA-T (orange) indicates tumor samples and TCGA-N (blue) indicates the adjacent normal tissue. C Genomic landscape heatmap of PDCs to harbor top-ranked somatic variants