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. 2023 Apr 22;7:39. doi: 10.1038/s41698-023-00377-w

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© The Author(s) 2023

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–c Estimated 1-year absolute risk of developing one of the ten cancer types for the three separate multicancer risk prediction models. d–f Projected PPV of the DETECT-A test (27.1% sensitivity at 98.9% specificity) for three separate multicancer risk models. g–i Projected NPV of the DETECT-A test for three separate multicancer risk models. The pan-cancer risk score (PCRS) model uses cancer-specific PRSs and conventional risk factors (BMI, smoking status, pack-years of smoking, and family history of cancer in first-degree relatives) shared across multiple cancer type as covariates. Risk factors only model includes conventional risk factors as predictors. PRS only model includes the cancer-specific polygenic risk scores for bladder, breast, colorectum, endometrium, kidney, lung, melanoma, non-Hodgkin’s lymphoma (NHL), ovary, and pancreas as covariates. se sensitivity, sp specificity.