PD-1 transcriptomic landscape across cancers and implications for immune checkpoint blockade outcome
Programmed cell death protein 1 (PD-1) is a critical immune checkpoint receptor and a target for cancer immune checkpoint inhibitors (ICI). We investigated PD-1 transcript expression across cancer types and its correlations to clinical outcomes. Using a reference population, PD-1 expression was calculated as percentiles in 489 of 514 patients (31 cancer types) with advanced/metastatic disease. PD-1 RNA expression varied across and within cancer types; pancreatic and liver/bile duct malignancies displayed the highest rates of high PD-1 (21.82% and 21.05%, respectively). Elevated CTLA-4, LAG-3, and TIGIT RNA expression were independently correlated with high PD-1. Although high PD-1 was not associated with outcome in immunotherapy-naïve patients (n = 272), in patients who received ICIs (n = 217), high PD-1 transcript expression was independently correlated with prolonged survival (hazard ratio 0.40; 95%CI, 0.18-0.92). This study identifies PD-1 as an important biomarker in predicting ICI outcomes, and advocates for comprehensive immunogenomic profiling in cancer management.
Authors
- Daisuke Nishizaki (ORCID: https://orcid.org/0000-0002-6746-3224)
- Jeffrey M. Conroy (ORCID: https://orcid.org/0000-0003-1764-9706)
- Paul DePietro (ORCID: https://orcid.org/0000-0001-9072-0631)
- Razelle Kurzrock (ORCID: https://orcid.org/0000-0003-4110-1214)
- Sarabjot Pabla (ORCID: https://orcid.org/0000-0002-7746-9144)
- Mary Nesline (ORCID: https://orcid.org/0000-0003-0523-4597)
- Shumei Kato (ORCID: https://orcid.org/0000-0003-1193-1815)
- Na Hyun Kim (ORCID: https://orcid.org/0000-0003-4293-4525)
- Hui‐Zi Chen
Institutions
- Medical College of Wisconsin (US)
- University of California San Diego (US)
- Moores Cancer Center
- Medical College of Wisconsin Cancer Center
Publication Details
- Journal
- npj Genomic Medicine
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1038/s41525-025-00465-9
- Citations
- 12
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 12.54