Jihao Xue ¹ Qijia Yin ² Ming Wang ¹ Yanling Li ^3,4*

• ¹ Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
• ² School of Nursing, Chongqing Medical University, Chongqing, China
• ³ Department of Rehabilitation, The Affiliated Hospital of Southwest Medical University, Luzhou, China
• ⁴ Department of Nursing, The Affiliated Hospital of Southwest Medical University, Luzhou, China

Phosducin-like 3 is a novel prognostic and onco-immunological biomarker in glioma: A multi-omics analysis with experimental verification By Zesheng Peng, Jiajing Wang, Shihao Tong, Yuxi Wu, Dongye Yi, Wei Xiang (2023). Front. Immunol. 15: 1128151. doi: 10.3389/fimmu.2023.1128151We read with great interest the recently reported work by Peng et al., entitled "Phosducin-like 3 is a novel prognostic and onco-immunological biomarker in glioma: A multi-omics analysis with experimental verification" (1). In this study, the authors conducted univariate and multivariate Cox regression analyses in combination with common clinicopathological characteristics and ultimately determined that PDCL3 acted as a potential prognostic biomarker of glioma. They subsequently established a nomogram in the TCGA cohort and confirmed that the nomogram had satisfactory prognostic efficiency for glioma. While we fully recognize the important contributions made by this study, we would like to highlight a few crucial aspects for further scrutiny and analysis. Firstly, it is essential to underscore that the application of Cox regression models necessitates the adherence to the proportional hazards (PH) assumption for the independent variables (2). This means that the hazard ratio associated with each independent variable must remain constant over time (p > 0.05). Violation of this assumption can lead to inaccuracies and biases in the statistical inferences drawn from the model (3). In addition, to ensure that the Cox regression model complies with the PH assumption, it is important to conduct a GLOBAL test. A p-value greater than 0.05 in this test serves as a strong indicator that the model satisfies the PH assumption, thereby validating its appropriateness for statistical analysis (4).Similarly, we performed univariate and multivariate Cox regression analyses (Figure 1A) on the relevant clinical parameters the same as those used by Peng et al. (1)