Creation of a lipoprotein(a) model to forecast progression-free survival and severe adverse events in metastatic lung adenocarcinoma patients lacking driver genes and with PD-L1 TPS under 50% - Summary - MDSpire

Creation of a lipoprotein(a) model to forecast progression-free survival and severe adverse events in metastatic lung adenocarcinoma patients lacking driver genes and with PD-L1 TPS under 50%

  • By

  • Sicong Li

  • Yiyuan Cui

  • Yijing Yan

  • Hao Li

  • Yue Jin

  • Yufan Chen

  • Jingjie Yu

  • Li Feng

  • April 24, 2026

  • 0 min

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Objective:

To evaluate the prognostic value of lipoprotein(a) (LPA) in lung adenocarcinoma (LUAD) patients receiving first-line chemoimmunotherapy and to develop a model predicting progression-free survival (PFS) and grade 3/4 adverse events (G3/4 AEs).

Key Findings:
  • 227 patients completed follow-up; AUC for 365-day PFS was 0.78 in training and 0.95 in validation cohorts.
  • Serum LPA level independently predicted disease progression.
  • AdaBoost was the most accurate method for predicting G3/4 AEs.
Interpretation:

High serum LPA expression is a risk factor for disease progression in metastatic driver gene-negative LUAD patients undergoing first-line chemoimmunotherapy, indicating potential for improved patient stratification.

Limitations:
  • The study focused only on patients with PD-L1 TPS <50% and driver gene-negative status, limiting generalizability.
  • Follow-up duration was relatively short at a median of 11.36 months.
Conclusion:

The developed models effectively predict PFS and G3/4 AEs, aiding in identifying patients less likely to benefit from initial chemoimmunotherapy.

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