Summarized by Masters of Longevity from Frontiers - Health.
A multicenter retrospective study developed and externally validated a machine learning model using peripheral T‑lymphocyte subsets to predict early postoperative recurrence in elderly non‑small cell lung cancer patients.
Key Takeaways
- Studies have demonstrated that ER is associated with pathological stage, tumor size, histological subtype, and vascular invasion ( 11 , 12 ).
- Nevertheless, given the biological heterogeneity of lung cancer, reliance solely on clinicopathological parameters makes it difficult to accurately capture tumor biological behavior.
- In recent years, evaluation of recurrence risk in cancer has progressively extended beyond conventional pathological staging and clinical characteristics to include indicators reflecting host immune status ( 13 , 14 ).
