ArticleNPJ genomic medicine2024
Analysis of cell free DNA to predict outcome to bevacizumab therapy in colorectal cancer patients.
Article in NPJ genomic medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01822444 (Exploratory Phase II Clinical Trial Comprising Biomarker Analysis of Oxaliplatin Plus Fluorouracil/Leucovorin), which is not on this map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Exploratory Phase II Clinical Trial Comprising Biomarker Analysis of Oxaliplatin Plus Fluorouracil/Leucovorin (FOLFOX) in Combination With Bevacizumab (Bvz) in First Line Treatment of Metastatic Colorectal Cancer (CRC) Expressing Mutant K-ras - AC-ANGIOPREDICT
Who cites it
3 citing papers in PubMed.
- Predictive Biomarkers in Metastatic Colorectal Cancer Patients Treated With Bevacizumab: A Turkish Oncology Group (TOG) Study.International journal of cancer · 2026Article
- Bevacizumab for Metastatic Colorectal Cancer with Chromosomal Instability: Cost-Effectiveness Analysis for a Novel Precision Treatment Approach in Germany, Ireland and Spain.PharmacoEconomics · 2026Article
- Screening, Prognostic, and Predictive Molecular Tools for Colorectal Cancer: Recent Advances in the Classical Background.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
26 authors.
Funding
Abstract
To predict outcome to combination bevacizumab (BVZ) therapy, we employed cell-free DNA (cfDNA) to determine chromosomal instability (CIN), nucleosome footprints (NF) and methylation profiles in metastatic colorectal cancer (mCRC) patients. Low-coverage whole-genome sequencing (LC-WGS) was performed on matched tumor and plasma samples, collected from 74 mCRC patients from the AC-ANGIOPREDICT Phase II trial (NCT01822444), and analysed for CIN and NFs. A validation cohort of plasma samples from the University Medical Center Mannheim (UMM) was similarly profiled. 61 AC-ANGIOPREDICT plasma samples collected before and following BVZ treatment were selected for targeted methylation sequencing. Using cfDNA CIN profiles, AC-ANGIOPREDICT samples were subtyped with 92.3% accuracy into low and high CIN clusters, with good concordance observed between matched plasma and tumor. Improved survival was observed in CIN-high patients. Plasma-based CIN clustering was validated in the UMM cohort. Methylation profiling identified differences in CIN-low vs. CIN high (AUC = 0.87). Moreover, significant methylation score decreases following BVZ was associated with improved outcome (p = 0.013). Analysis of CIN, NFs and methylation profiles from cfDNA in plasma samples facilitates stratification into CIN clusters which inform patient response to treatment.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.