ClinicalTrials.gov
public full text
Public Domain
Application of Chromosomal Instability in Early Diagnosis of Biliary Tract Carcinoma
Chromosomal instability (CIN) refers to ongoing chromosome segregation errors throughout consecutive cell divisions. CIN is a hallmark of human cancer, and it is associated with poor prognosis, metastasis, and therapeutic resistance. Analyzing CIN of the DNA extracted from cast-off cells in bile samples seems a promising method for diagnosing, monitoring, and predicting the prognosis of biliary tract carcinoma patients. CIN can be assessed using experimental techniques such as bulk DNA sequencing, fluorescence in situ hybridization (FISH), or conventional karyotyping. However, these techniques are either time-consuming or non-specific. The investigators here intend to study whether a new method named Bile Ultrasensitive Chromosomal Aneuploidy Detection (BileCAD), which is based on low-coverage whole-genome sequencing, can be used to analyze CIN and microbial infection analysis thus help diagnosing and treating biliary tract carcinoma patients.
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
- The Construction of Clinical Database and Multiomics Biobank Based on a Multicentral Prospective Cohort of Benign and Malignant Biliary Tract Diseases#979614
- Noninvasive detection and prognostic stratification of biliary tract cancer using cell-free DNA fragmentomics: a model development and validation study.#220935
- BIBW 2992 as add-on to Gem/Cis in Advanced Biliary Tract Cancer#1139534
- Comparing NUC-1031 Plus Cisplatin to Gemcitabine Plus Cisplatin in Patients With Advanced Biliary Tract Cancer#884947
- The Effect of Individualized Precision Therapy Programs in Patients With BTC#1095066
Record · ID 1152130
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