2023
DOI: 10.3389/fonc.2023.1219642
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Single-cell analysis reveals cellular reprogramming in advanced colon cancer following FOLFOX-bevacizumab treatment

Abstract: IntroductionThe combination of FOLFOX and bevacizumab (FOLFOX-Bev) is a promising treatment for advanced colorectal cancer (CRC). However, the response of the tumor microenvironment to FOLFOX-Bev is still largely unexplored.MethodsWe conducted single-cell transcriptomic analysis of CRC samples derived from a patient before and after treatment to gain insights into the cellular changes associated with FOLFOX-Bev treatment.ResultsWe found that cancer cells with high proliferative, metastatic, and pro-angiogenic … Show more

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Cited by 5 publications
(2 citation statements)
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“…Immune-vascular cross-talk underpins the rationale for using bevacizumab, an anti-VEGFA monoclonal antibody that normalises tumour vasculature, in conjunction with immune checkpoint inhibitors in advanced unresectable HCC 5 . Advanced colorectal cancer patients receiving combined FOLFOX and bevacizumab have decreased VEGFB-mediated angiogenesis, including reduced myeloid cell-endothelial cell communication via VEGF as identified by single-cell RNA sequencing 59 . In pre-clinical HCC models, anti-angiogenic therapy in conjunction with anti-PD-1 therapy further promotes vascular normalisation mediated by CD4 + T cells 16 .…”
Section: Discussionmentioning
confidence: 99%
“…Immune-vascular cross-talk underpins the rationale for using bevacizumab, an anti-VEGFA monoclonal antibody that normalises tumour vasculature, in conjunction with immune checkpoint inhibitors in advanced unresectable HCC 5 . Advanced colorectal cancer patients receiving combined FOLFOX and bevacizumab have decreased VEGFB-mediated angiogenesis, including reduced myeloid cell-endothelial cell communication via VEGF as identified by single-cell RNA sequencing 59 . In pre-clinical HCC models, anti-angiogenic therapy in conjunction with anti-PD-1 therapy further promotes vascular normalisation mediated by CD4 + T cells 16 .…”
Section: Discussionmentioning
confidence: 99%
“…Unfortunately, due to ECs only constitute a small fraction of tumor tissues, it is difficult to study specific EC phenotypes. 7,13 Integrating decentralized datasets could be an important way to address this situation. 14 In this study, four CRC scRNA-seq datasets were integrated to distinguish EC subsets within stromal cells and validated using an independent scRNA-seq validation dataset.…”
Section: Introductionmentioning
confidence: 99%