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. 2022 Sep 19;13:991879. doi: 10.3389/fphar.2022.991879

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Copyright © 2022 Shen, Wang, Xu, Chen, Zhu, Cheng, Fang, Liu and Xu.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Enriched metabolite pathways and potential biomarker associated with different response to anti-VEGF treatment. (A) Interactive pie chart of sub-classes of differential metabolites. (B) Bar plot of enriched metabolite pathways. Responders and non-responders differed most significantly in metabolism of LPC (p = 7.16 x 10^-19) and diacylglycerophosphocholine (p = 6.96 x 10^-17). (C) Diagnostic outcome of LPC 18:0 in the discovery group. The area under curve is 0.896 with 95% confidence internal between 0.833 and 0.949, to discriminate responders from non-responders. The optimal cut-off value of LPC 18:0 was 11.4. (D) Prediction accuracies by LPC 18:0 in the discovery and validation group. This cut-off value 11.4 was used to predict treatment response in the validation group. The predictive value was 72.4%. (E) Hotspot mapping to chromosome 6: 125.554 Mbp indicated the gene associated with LPC 18:0 (highlighted in red). The single nucleotide polymorphism of von Willebrand Factor was highly relevant with the level of LPC 18:0.