Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
April 12, 2026Circulation Genomic and Precision MedicineOpen Access

Tumor whole-genome sequencing may improve VTE prediction by clinical risk scores.

View Full Paper
Ask AI
Bookmark
Share

Why the study?

Does tumor whole-genome sequencing improve VTE prediction compared to clinical risk scores alone in patients with metastasized solid cancer?

Population

Patients with metastasized solid cancer

Comparison

Tumor whole-genome sequencing vs Clinical risk scores alone

Design

Cohort

Authors

FMFrits I. MulderNGNoori A.M. GumanJRJob van Riet

Discussion

Loading...

Member takes

Overview

Tumor whole-genome sequencing shows potential to enhance clinical risk scores for predicting venous thromboembolism in patients with metastasized solid cancer.

Key Points

  • The aim is to explore how tumor whole-genome sequencing can enhance the prediction of venous thromboembolism in patients with metastasized solid cancers.
  • Utilized tumor whole-genome sequencing to assess genetic data
  • Applied clinical risk scores for venous thromboembolism
  • Analyzed the correlation between genomic data and VTE risk
  • Indicated improved prediction of venous thromboembolism with genomic data
  • Suggested that clinical risk scores may be enhanced by utilizing sequencing data

Structured PICO

Does tumor whole-genome sequencing improve VTE prediction compared to clinical risk scores alone in patients with metastasized solid cancer?

P
Population
Patients with metastasized solid cancer
I
Intervention
Tumor whole-genome sequencing
C
Comparator
Clinical risk scores alone
O
Outcome
Prediction of venous thromboembolism (VTE)

Tumor whole-genome sequencing shows potential to enhance clinical risk scores for predicting venous thromboembolism in patients with metastasized solid cancer.

Limitations

  • Validation studies to confirm these findings are needed

Cite This Study

Mulder et al. (2026) studied this question.

synapsesocial.com/papers/69db37df4fe01fead37c5f13https://doi.org/10.1161/circgen.124.005182
View Full Paper
Ask AI
Bookmark
Share

Also Consider

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

  1. 1Associations of tumour somatic mutations with cancer-associated venous thromboembolism2025
  2. 2Integrating machine learning with transcriptome‐wide association studies to identify novel predictive biomarkers for venous thromboembolism2025
  3. 3Baseline Hemostatic Biomarker Assessment Identifies Breast Cancer Patients at High Risk for Venous Thromboembolism During Chemotherapy2025 · 1 citations
  4. 4A novel risk score for venous thromboembolism in lung cancer patients: a retrospective cohort study2025
  5. 5Cancer-Associated Venous Thromboembolic Disease: Anatomoclinical Aspects and Risk Factors2025 · 1 citations