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August 4, 2025

Figure 3 from Detection of Brain Cancer Using Genome-wide Cell-free DNA Fragmentomes

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Authors

DMDimitrios MathiosNNNoushin NiknafsAAAkshaya V. Annapragada

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Overview

Survival analysis reveals ARTEMIS–DELFI model components predict outcomes in untreated GBM, suggesting new diagnostic tools.

Key Points

  • The ARTEMIS–DELFI model effectively predicts survival in patients with untreated GBM.
  • Survival analyses were conducted using Cox proportional hazard ratios based on classifier scores.
  • Kaplan–Meier survival curves illustrate differences between low- and high-score GBM cohorts.
  • The findings may enhance diagnostic strategies for brain cancer treatment planning.

Cite This Study

Mathios et al. (2025) studied this question.

synapsesocial.com/papers/689a0f86e6551bb0af8d0946https://doi.org/10.1158/2159-8290.29819632
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Also Consider

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

  1. 1Figure 2 from Detection of Brain Cancer Using Genome-wide Cell-free DNA Fragmentomes2025
  2. 2Supplementary Figures S1-S10 from Detection of Brain Cancer Using Genome-wide Cell-free DNA Fragmentomes2025
  3. 3Figure 4 from Detection of Brain Cancer Using Genome-wide Cell-free DNA Fragmentomes2025
  4. 4Figure 5 from Detection of Brain Cancer Using Genome-wide Cell-free DNA Fragmentomes2025
  5. 5OS04.1.A A NORMATIVE HUMAN GLIOBLASTOMA-CONNECTOME CONSTRUCTED FROM TUMOR-CONNECTED BRAIN REGIONS IMPROVES SURVIVAL RATES ESTIMATION2025