# Baseline D-dimer as a predictor of immune checkpoint inhibitor efficacy in cancer

**Authors:** Fan Li, Jie Zha, Meimei Hu, Wei Zhang

PMC · DOI: 10.1080/07853890.2026.2620195 · Annals of Medicine · 2026-01-28

## TL;DR

High baseline D-dimer levels predict poor outcomes in cancer patients treated with immune checkpoint inhibitors.

## Contribution

Baseline D-dimer is a novel, accessible biomarker for predicting ICI efficacy in cancer patients.

## Key findings

- Elevated D-dimer is associated with worse overall survival in ICI-treated patients.
- Higher D-dimer levels correlate with lower response rates to immunotherapy.
- Findings are consistent across tumor types and treatment regimens.

## Abstract

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.

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.

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.

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.

## Linked entities

- **Diseases:** cancer (MONDO:0004992)

## Full-text entities

- **Genes:** F2 (coagulation factor II, thrombin) [NCBI Gene 2147] {aka PT, RPRGL2, THPH1}, PDCD1 (programmed cell death 1) [NCBI Gene 5133] {aka ADMIO4, AIMTBS, CD279, PD-1, PD1, SLEB2}, F3 (coagulation factor III, tissue factor) [NCBI Gene 2152] {aka CD142, TF, TFA}, F2RL1 (F2R like trypsin receptor 1) [NCBI Gene 2150] {aka GPR11, PAR2}, F2R (coagulation factor II thrombin receptor) [NCBI Gene 2149] {aka CF2R, HTR, PAR-1, PAR1, TR}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, VWF (von Willebrand factor) [NCBI Gene 7450] {aka F8VWF, VWD}, F10 (coagulation factor X) [NCBI Gene 2159] {aka FX, FXA}, STAT2 (signal transducer and activator of transcription 2) [NCBI Gene 6773] {aka IMD44, ISGF-3, P113, PTORCH3, STAT113}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, TGFB1 (transforming growth factor beta 1) [NCBI Gene 7040] {aka CAEND1, CED, DPD1, IBDIMDE, LAP, TGF-beta1}, FGB (fibrinogen beta chain) [NCBI Gene 2244] {aka HEL-S-78p}, CTLA4 (cytotoxic T-lymphocyte associated protein 4) [NCBI Gene 1493] {aka ALPS5, CD, CD152, CELIAC3, CTLA-4, GRD4}, CD274 (CD274 molecule) [NCBI Gene 29126] {aka ADMIO5, B7-H, B7H1, PD-L1, PDCD1L1, PDCD1LG1}
- **Diseases:** pancreatic ductal adenocarcinoma (MESH:D021441), endothelial injury (MESH:D057772), esophageal carcinoma (MESH:D004938), gastric, pancreatic, and colorectal cancers (MESH:D015179), inflammation (MESH:D007249), lung adenocarcinoma (MESH:D000077192), TNBC (MESH:D064726), breast cancer (MESH:D001943), coagulation (MESH:D001778), hepatocellular carcinoma (MESH:D006528), Cancer (MESH:D009369), melanoma (MESH:D008545), Hypercoagulable (MESH:D019851), gastric carcinoma (MESH:D013274), VTE (MESH:D054556), cutaneous squamous cell carcinoma (MESH:D002294), non-small-cell lung cancer (MESH:D002289), thrombosis (MESH:D013927)
- **Chemicals:** Atezolizumab (MESH:C000594389), Ipilimumab (MESH:D000074324), Avelumab (MESH:C000609138), D (MESH:D003903), DCR (-), Durvalumab (MESH:C000613593), Cemiplimab (MESH:C000627974), Tremelimumab (MESH:C520704), Pembrolizumab (MESH:C582435), Nivolumab (MESH:D000077594), rivaroxaban (MESH:D000069552)
- **Species:** Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12857687/full.md

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12857687/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/PMC12857687/full.md

---
Source: https://tomesphere.com/paper/PMC12857687