Year: 2026
Type: editorial
Abstract: In the context of biomarker discovery for common solid tumors, several contributions identified specific genetic and proteomic signatures linked to patient outcomes and the tumor immune microenvironment. Finally, the integration of clinical parameters into predictive models is addressed by Bai et al., who constructed a multiple linear regression model to predict the preoperative peritoneal cancer index in patients with pseudomyxoma peritonei. This approach utilizes standard preoperative variables to estimate surgical disease burden.Together, these studies illustrate the ongoing transition from broad histopathological classification to precise molecular and clinical profiling, providing specific data points to optimize risk assessment and individualized treatment strategies.
Author: Xi Yang
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W7154228627
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