ClinicalTrials.gov
public full text
Public Domain
Neutrophil Extracellular Traps as a Biomarker to Predict Portal Vein Tumor Thrombosis in Patients With Hepatocellular Carcinoma
The aim of this study was to investigate whether NETs markers can enhance predict portal vein tumor thrombosis in patients with live cirrhosis, so as to establish a novel predictor to guide clinical decision-making.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Patient-derived organotypic tumor spheroids as a functional platform for predicting immunotherapeutic responses and guiding precision treatment for hepatocellular carcinoma.#156873
- A Platform Trial for Personalized and Adaptive Therapies in Hepatocellular Carcinoma#853805
- Development and validation of venous thrombosis risk prediction model and scale for lung cancer patients in intensive care unit based on interpretable machine learning.#685580
- New prognostic and predictive scoring systems for colorectal cancer liver metastases.#67481
- Integrative Profiling of Metabolic CYP Expression, DNA Mutation Rates, and Immune Cell Infiltration for Survival Prognosis in Hepatocellular Carcinoma / Mona Dawood, Axel Guthart, Ednah Ooko, Ralf Weiskirchen, Thomas Efferth, Joelle C. Boulos#628969
Record · ID 849652
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive