[Recent Advances in Peripheral Immunoscore in Lung Cancer]

Area of Science:

• Oncology
• Immunology
• Biomarkers

Background:

• Lung cancer remains a leading cause of cancer morbidity and mortality worldwide.
• Current tumor-node-metastasis (TNM) staging has limitations in accurately predicting lung cancer outcomes.
• There is an urgent need for novel clinical predictive models to guide lung cancer prevention and treatment.

Purpose of the Study:

• To systematically review the latest research on peripheral immunoscore in lung cancer.
• To explore the potential clinical applications of peripheral immunoscore in lung cancer management.
• To provide insights for developing new predictive models for lung cancer.

Main Methods:

• Review of recent scientific literature on peripheral immunoscore and lung cancer.
• Analysis of studies evaluating peripheral immunoscore for early diagnosis, treatment efficacy, adverse reaction prediction, and prognosis.
• Synthesis of findings to highlight the clinical utility of peripheral immunoscore.

Main Results:

• Peripheral immunoscore, based on peripheral immune parameters, is emerging as a valuable tool.
• It dynamically reflects the body's immune function and tumor microenvironment.
• Research indicates its potential in early diagnosis, predicting drug efficacy, and evaluating prognosis.

Conclusions:

• Peripheral immunoscore offers a comprehensive evaluation system for lung cancer.
• Its application in early diagnosis, treatment response prediction, and prognosis evaluation shows significant potential.
• Further development of peripheral immunoscore-based models could revolutionize lung cancer clinical practice.