Abstract 351P
Background
As a pivotal way to reactivate immune cells, immunotherapy has been a powerful way for tumor control in lung cancer patients. Peripheral blood lymphocyte subsets, accessible through noninvasive liquid biopsy, have the accessibility to predict immunotherapy outcomes and optimize patient selection.
Methods
We enrolled 171 patients with lung cancer who underwent chemotherapy with or without immunotherapy. Peripheral blood lymphocyte profiles at different timepoints were examined to identify associations with treatment response from different treatment regimens, survival outcomes, and relevant clinical factors, aiming to determine their predictive value for post-treatment outcomes.
Results
Elevated baseline levels of CD3–CD16+CD56+ and CD3–CD19+ cells, along with a higher CD4+/CD8+ T cell ratio, were positively correlated with favorable treatment responses, particularly in patients receiving chemotherapy combined with immunotherapy. Conversely, increased CD3+ and CD3+CD8+ T cell counts were linked to lower response rates. A nomogram incorporating five immune parameters achieved an AUC of 0.778 in the entire cohort, out-performing each individual marker. In the subset receiving combination therapy, a fourparameter model yielded an AUC of 0.725, again surpassing the predictive accuracy of single indicators. Dynamic assessments suggested limited changes in these subsets at disease progression, highlighting their utility for early-stage prediction rather than late-treatment guidance.
Conclusions
Baseline and early-treatment peripheral blood lymphocyte subsets offer a promising, noninvasive strategy for predicting therapeutic efficacy in locally advanced or advanced lung cancer. Furthermore, utilizing a multifaceted predictive framework that incorporates various lymphocyte subset parameters provides a more dependable forecast of treatment outcomes, thereby aiding in tailored patient selection for immunotherapy.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.