fig1

Unveiling MAGEA3: a novel predictive biomarker for bevacizumab resistance in colorectal cancer

Figure 1. Identification of potential biomarkers predicting bevacizumab efficacy in CRC. (A) Scatter plot of upregulated differential expression genes (DEGs) in pre-treated colorectal cancer compared to mucosa in bevacizumab responders in dataset GSE60331. The DEGs were ranked in descending order by logFC along the X-axis. The color depth represents -log(adjusted P-value); (B) Scatter plot of upregulated differential expression genes (DEGs) in pre-treated colorectal cancer compared to mucosa in bevacizumab non-responders in dataset GSE60331. The DEGs were ranked in descending order by logFC along the X-axis. The color depth represents -log(adjusted P-value); (C) Venn diagram of DEGs in responders and non-responders; (D) Scatter plot of -log(P-value) from two survival analyses. The X-axis represents the -log(P-value) of the hazard ratio (HR) in the Cox proportional hazard model, and the Y-axis represents the -log(P-value) of the Log-rank test. The genes were marked with different colors and were ranked by risk to patient survival in descending order on the right side of the plot based on a combination of -log(P-value) values on the X-axis and Y-axis; (E and F) The expression of MAGEA3 (E) and ANGPT2 (F) in colorectal cancer and normal colon tissue in TCGA database. DEGs: differential expression genes; FC: fold change; HR: hazard ratio.

Cancer Drug Resistance
ISSN 2578-532X (Online)

Portico

All published articles will preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles will preserved here permanently:

https://www.portico.org/publishers/oae/