ArticleJournal of gastrointestinal oncology2025
Predicting bevacizumab efficacy: the emerging role of ACTL6B in colorectal cancer.
Article in Journal of gastrointestinal oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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Who cites it
1 citing paper in PubMed.
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Colorectal cancer (CRC) is the third most common malignancy worldwide, and bevacizumab is the backbone antibody against vascular endothelial growth factor (VEGF) for patients with liver metastases. Nevertheless, no clinically applicable biomarker reliably foretells who will benefit, because VEGF expression alone shows limited predictive value. This study aims to discover and functionally validate a molecular signature that can anticipate bevacizumab response and long-term outcome in CRC. Methods: A total of 620 CRC cases with documented heterogeneous bevacizumab exposure were extracted from The Cancer Genome Atlas (TCGA). Multi-omics layers-whole-exome sequencing, RNA-seq, reverse-phase protein array, immune-deconvolution algorithms [Tool for Immune Estimation Resource 2 (TIMER2), QUANTitative Immunogeneic Sequencing (QUANTISEQ), Estimating the Proportions of Immune and Cancer cells (EPIC), Microenvironment Cell Populations (MCP)-counter], microsatellite instability (MSI) and tumor mutational burden (TMB)-were integrated. Pan-cancer enrichment [Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG)], survival modelling, and nomogram construction were performed, followed by lentiviral over-expression and CRISPR-knockout studies in HT29 and COLO205 cells for proliferation, colony formation, trans-well migration and sphingolipid signaling interrogation. Results: Actin-like 6B (ACTL6B) emerged as the top predictor, showing inverse correlation with mesenchymal markers and positive association with CD4 Conclusions: ACTL6B, alone or combined with S1PR3 and PPP2R2B, constitutes a robust biomarker panel for stratifying CRC patients likely to benefit from bevacizumab, warranting prospective clinical qualification.
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