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September 16, 2024

Supplementary Figure S2 from Evaluation of somatic mutations in urine samples as a non-invasive method for the detection and molecular classification of endometrial cancer

Laura Costas Irene Onieva Beatriz Pelegrina Fátima Marín Álvaro Carmona Marta López-Querol Jon Frias‐Gomez Paula Peremiquel‐Trillas José Manuel Martínez Eduard Dorca Joan Brunet Marta Pineda Jordi Ponce Xavier Matías‐Guiu Sílvia de Sanjosé F. Xavier Bosch Laia Alemany Sònia Paytubi

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Abstract

Heat map of mutations according to the highest variant allele frequency per gene in urine samples from cases and controls

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Costas et al. (2024) studied this question.

synapsesocial.com/papers/68e58589b6db64358752273b https://doi.org/10.1158/1078-0432.27033196

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Supplementary Figure S2 from Evaluation of somatic mutations in urine samples as a non-invasive method for the detection and molecular classification of endometrial cancer2024
2Supplementary Figure S1 from Evaluation of somatic mutations in urine samples as a non-invasive method for the detection and molecular classification of endometrial cancer2024
3Supplementary Figure S1 from Evaluation of somatic mutations in urine samples as a non-invasive method for the detection and molecular classification of endometrial cancer2024
4Supplementary Figure S5 from Evaluation of somatic mutations in urine samples as a non-invasive method for the detection and molecular classification of endometrial cancer2024
5Supplementary Figure S5 from Evaluation of somatic mutations in urine samples as a non-invasive method for the detection and molecular classification of endometrial cancer2024

Supplementary Figure S4 from Evaluation of somatic mutations in urine samples as a non-invasive method for the detection and molecular classification of endometrial cancer2024
Supplementary Figure S4 from Evaluation of somatic mutations in urine samples as a non-invasive method for the detection and molecular classification of endometrial cancer2024
Data from Evaluation of somatic mutations in urine samples as a non-invasive method for the detection and molecular classification of endometrial cancer2024