Page 103 - GPD-4-2

Gene & Protein in Disease Significance of MXRA7 in bladder cancer

A

B C

Figure 5. Establishment of a reliable prognostic model for 1-, 3-, and 5-year survival prediction in BLCA using Cox multifactor analysis and nomogram.
(A) Development of a predictive nomogram for 1-, 3-, and 5-year overall survival outcomes in patients with BLCA. For each patient, individual scores
corresponding to each variable are summed to yield a total point’s score. This total is then mapped onto the survival probability scale at the bottom to
estimate the likelihood of survival at 1, 3, and 5 years. The blue shaded area depicts the distribution of continuous variables, while the red dots represent the
frequency distribution of categorical variables. (B) Verification of the predictive accuracy of the nomogram through calibration plots over 1, 3, and 5 years.
(C) Analytical assessment of the nomogram through time-dependent ROC curves within the context of an immune prognostic model.
Abbreviations: BLCA: Bladder cancer; ROC: Receiver operating characteristic curve.

marker accompanying disease progression. Future studies developed using LASSO-Cox regression effectively stratified
should focus on identifying the upstream regulators and patients into high- and low-risk groups, while multivariate
downstream effectors of MXRA7 to better understand its Cox analysis identified a seven-factor panel – including
role in cancer biology. MXRA7 and its expression level – as a tool for survival
prediction in BLCA cohorts. These findings underscore
5. Conclusion MXRA7’s potential as a biomarker for prognosis and risk

This study utilized a comprehensive bioinformatic approach stratification, highlighting the need for further experimental
to identify MXRA7 as a significant prognostic biomarker in validation to explore its mechanistic role in BLCA progression
BLCA, with high expression levels associated with poorer and assess its viability as a therapeutic target.
survival outcomes. Functional enrichment analysis suggested Acknowledgments
that MXRA7 contributes to BLCA progression by modulating
pathways related to extracellular matrix remodeling, focal The authors would like to thank Dr. Francesco Zonta for
adhesion, and PI3K-Akt signaling, which are critical for tumor co-supervising Mingjie Chen during the latter’s final year
cell survival, migration, and invasion. A risk score model project (FYP), which contributed to this study.

Volume 4 Issue 2 (2025) 8 doi: 10.36922/gpd.6256