The systemic inflammation response index (SIRI) predicts survival in advanced non-small cell lung cancer patients undergoing immunotherapy and the construction of a nomogram model
2024

SIRI Predicts Survival in Lung Cancer Patients Undergoing Immunotherapy

Sample size: 148 publication Evidence: high

Author Information

Author(s): Tang Chunhan, Zhang Min, Jia Hongyuan, Wang Tianlei, Wu Hongwei, Xu Ke, Ren Tao, Liang Long

Primary Institution: Chengdu Medical College

Hypothesis

This study aims to evaluate the prognostic value of the Systemic Inflammation Response Index (SIRI) in advanced non-small cell lung cancer (NSCLC) patients treated with PD-1 inhibitors.

Conclusion

SIRI is an important independent predictor of early progression in advanced NSCLC patients treated with PD-1 inhibitors.

Supporting Evidence

  • Patients with high post-SIRI levels had a 2.48-fold increased risk of disease progression.
  • Post-SIRI was identified as an independent risk factor for overall survival.
  • The nomogram model showed good predictive accuracy for patient prognosis.
  • Median progression-free survival was 12.9 months and overall survival was 19.9 months.
  • Internal validation indicated good agreement between predicted and observed survival rates.

Takeaway

Doctors can use a blood test called SIRI to help figure out how well lung cancer patients might do with a specific treatment.

Methodology

A retrospective study analyzed blood markers and survival outcomes in advanced NSCLC patients treated with anti-PD-1 drugs.

Potential Biases

Potential biases may arise from the retrospective nature and single-center data collection.

Limitations

The study is retrospective, has a small sample size, lacks external validation, and is based on single-center data.

Participant Demographics

The majority of participants were male (88.5%), with a history of smoking (76.4%) and advanced stage IV disease (67.6%).

Statistical Information

P-Value

P < 0.001

Confidence Interval

95% CI: 0.693–0.747

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3389/fimmu.2024.1516737

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