The Potential Adverse Impact of Post-Treatment Thrombocytopenia on Clinical Outcomes in Cancer Patients Treated With Immune Checkpoint Inhibitors.

BACKGROUND

The main goal of this study is to explore the prognostic and predictive implications of post-treatment thrombocytopenia on treatment efficacy and clinical outcomes in advanced-stage cancer treated with immune checkpoint inhibitors (ICIs).

METHODS

This retrospective study included 102 patients with advanced-stage cancer who were treated with ICIs. The simultaneous administration of chemotherapy and ICIs was omitted; nevertheless, the selection of chemotherapy agents employed in different treatment lines was left to the discretion of the attending clinician. Patients were stratified into distinct cohorts based on their post-treatment platelet counts (evaluated for up to four to six months after the completion of ICI). The primary endpoint of interest was progression-free survival (PFS), and overall survival (OS) was the secondary endpoint.

RESULTS

Patients with superior Eastern Cooperative Oncology Group (ECOG) performance status and those who received ICI as second-line treatment displayed markedly elevated incidences of grade 1 thrombocytopenia (p < 0.05). Kaplan-Meier survival analysis confirmed that patients with high-grade thrombocytopenia had significantly shorter PFS (six vs. 13 vs. 19 months, p < 0.0001) and OS (10 vs. 21 vs. 25 months, p < 0.0001) than those with lower grades or without thrombocytopenia, respectively. Multivariate analysis revealed that decreased platelet levels were a negative independent prognostic factor for both PFS and OS in patients with advanced-stage cancer who received ICIs.

CONCLUSION

The results of this retrospective study suggest that a decline in platelet levels after treatment represents a dependable adverse prognostic biomarker for clinical outcomes. Moreover, a decrease in platelet levels has been linked to reduced treatment efficacy in advanced-stage cancer patients receiving ICIs, thereby providing valuable prognostic insights for the implementation of personalized treatment strategies in cancer immunotherapy.