Related Experiment Video
Updated: Jan 30, 2026

Monitoring the Cancer-Immunity Cycle and Exploring Tumor Microenvironment Dynamics
Published on: June 7, 2024
Baseline D-dimer as a predictor of immune checkpoint inhibitor efficacy in cancer
1Department of Basic Medicine, Anqing Medical College, Anqing, Anhui, China.
Background:
Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment by enhancing antitumor immunity, yet durable responses are observed in only a fraction of patients. Identifying accessible and reliable biomarkers to predict therapeutic efficacy remains a critical unmet need. D-dimer, a fibrin degradation product reflecting systemic coagulation, has been associated with tumor progression and poor prognosis, but its predictive value in ICI-treated patients remains unclear.
Methods:
We conducted a systematic review and meta-analysis of studies evaluating baseline D-dimer in cancer patients receiving ICIs. Eligible studies reported outcomes including overall survival (OS), progression-free survival (PFS), objective response rate (ORR), or disease control rate (DCR). Data extraction and quality assessment were performed independently, and pooled hazard and odds ratios were calculated. Sensitivity and subgroup analyses were conducted to evaluate the stability of findings and potential cutoff-dependent effects.
Results:
Ten retrospective studies including 1,217 patients were analyzed. Elevated baseline D-dimer was significantly associated with worse OS (HR = 1.95, 95% CI: 1.62-2.36, p < 0.001) and shorter PFS (HR = 2.03, 95% CI: 1.57-2.63, p < 0.001). Higher D-dimer levels also correlated with lower ORR (OR = 0.42, 95% CI: 0.26-0.68, p < 0.001) and DCR (OR = 0.18, 95% CI: 0.10-0.34, p < 0.001). Sensitivity and subgroup analyses confirmed the robustness and consistency of these associations across tumor types, treatment regimens, and D-dimer thresholds.
Conclusions:
Baseline D-dimer is a readily measurable, cost-effective biomarker that predicts inferior outcomes in patients receiving ICIs. Its integration into clinical workflows may aid patient stratification and guide treatment decisions. Prospective multicenter studies are warranted to validate cutoff thresholds and further define its utility in optimizing immunotherapy efficacy.
Related Concept Videos
The Spindle Assembly Checkpoint
Many proteins function together to control the spindle assembly checkpoint. Mutations affecting these proteins may allow cells to proceed into anaphase prematurely, resulting in the...
Eukaryotic Transcription Inhibitors
Eukaryotic transcription inhibitors usually contain two distinct domains, a...
Self-Efficacy
What is the Immune System?
Humoral Immune Responses
Dipeptidyl Peptidase 4 Inhibitors

