Soluble Immune Checkpoints as Prognostic Biomarkers in Small Cell Lung Cancer Patients Treated with Chemotherapy and Anti-PD-L1

作者：Guinart-Cuadra A, Piedra A, Martínez-Recio S, Mulet M, Zamora C, Osuna-Gómez R, Cantó E, Ortiz MA, Barba A, Sanz-Beltran J, Serra-López J, Paz-Ares L, Arriola E, Moreno AL, Garcia-Campelo R, Martí-Blanco C, Isla D, Callejo Á, Majem M, Vidal S · 发表于：International journal of molecular sciences · 年份：2026 · DOI：10.3390/ijms27146225 · 被引用次数：45 · 研究领域：Small Cell Lung Carcinoma、Biomarkers, Tumor、Lung Neoplasms、B7-H1 Antigen、Immune Checkpoint Proteins、Immune Checkpoint Inhibitors、Humans、Female、Prognosis、Male、Middle Aged、Aged

Soluble immune checkpoints (sICs) have emerged as potential biomarkers in various cancers. However, their role in extensive-stage small cell lung cancer (ES-SCLC), an aggressive tumor type with limited therapeutic options and poor prognosis, remains poorly characterized. We analyzed 14 circulating sICs, leukocyte-platelet (PLT) complexes, and PD-L1 surface expression in ES-SCLC patients treated with chemoimmunotherapy (n = 41) prior to treatment and healthy donors (HD, n = 10). We assessed their associations with clinical and demographic factors and performed survival analyses using Kaplan-Meier and log-rank tests. Levels of soluble (s) PD-L1, PD-L2, BTLA, HVEM, TIM-3, and CD27 were higher in plasma from ES-SCLC patients compared to those from HD (p < 0.05). Patients with liver metastases exhibited higher sIC levels, and a multivariate model demonstrated discriminative power. Network analyses revealed distinct patterns of immune dysregulation between ES-SCLC and HD. We observed correlations among sICs and leukocyte-PLT complexes and leukocyte PD-L1 expression, indicating links between systemic immune status and tumor-immune interactions. Furthermore, increased concentrations of sTIM-3, sCD27, sHVEM and sPD-L1 were associated with a poor prognosis. Overall, sICs reflect relevant clinical, prognostic, and immunological features in ES-SCLC. Their plasma measurement could aid in non-invasive patient stratification regarding liver metastases and survival risk.