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. 2024 Jul 3;22:618. doi: 10.1186/s12967-024-05416-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/. 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. 4 — Correlation between deconvolution scores and the proportion of cancer tissue fragments in wet-lab spike-in samples. Strong correlation between spike-in ratios and deconvolution scores was observed in (A) CRC, (B) Lung, (C) Gastric, (D) Breast, and (E) Liver cancer. Wet-lab spike-in samples were generated by mixing genomic DNA from each tumor tissue type with cfDNA from 2 healthy donors at four ratios (0.1%, 1%, 10%, and 25%), before WGBS and calculating deconvolution scores (2 replicates at each ratio). Correlation was measured by Pearson coefficient . Values on x-axis were log-scaled for visualization purpose only. The 95% CI (gray shading region) is not available at spike-in tumor fraction of less than 1% because all deconvolution scores are zero

Inline graphic — Correlation between deconvolution scores and the proportion of cancer tissue fragments in wet-lab spike-in samples. Strong correlation between spike-in ratios and deconvolution scores was observed in (A) CRC, (B) Lung, (C) Gastric, (D) Breast, and (E) Liver cancer. Wet-lab spike-in samples were generated by mixing genomic DNA from each tumor tissue type with cfDNA from 2 healthy donors at four ratios (0.1%, 1%, 10%, and 25%), before WGBS and calculating deconvolution scores (2 replicates at each ratio). Correlation was measured by Pearson coefficient . Values on x-axis were log-scaled for visualization purpose only. The 95% CI (gray shading region) is not available at spike-in tumor fraction of less than 1% because all deconvolution scores are zero