ArticleHematological oncology2019
Plasma soluble programmed death ligand 1 levels predict clinical response in peripheral T-cell lymphomas.
Article in Hematological oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Prognostic and clinicopathological value of soluble programmed cell death ligand-1 (sPD-L1) in patients with peripheral T-cell lymphoma: a meta-analysis.Annals of medicine · 2025Pooled it
- A dual compartment peripheral blood signature of soluble and membrane-bound immune checkpoints predicts outcome in lymphoma patients.Oncoimmunology · 2025Article
- Article
- Soluble immune checkpoint molecules in cancer risk, outcomes prediction, and therapeutic applications.Biomarker research · 2024Review
- Article
- Soluble PD-L1 works as a decoy in lung cancer immunotherapy via alternative polyadenylation.JCI insight · 2022Article
- Immune Checkpoint Inhibitors in Peripheral T-Cell Lymphoma.Frontiers in pharmacology · 2022Review
- [PD-1 monoclonal antibody combined with chemotherapy in the treatment of subcutaneous panniculitis-like T-cell lymphoma: a case report and literature review].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2021Review
- Soluble Programmed Death Ligand-1 (sPD-L1): A Pool of Circulating Proteins Implicated in Health and Diseases.Cancers · 2021Review
- Immune checkpoint inhibitors in lymphoma: challenges and opportunities.Annals of translational medicine · 2021Review
- The importance of exosomal PDL1 in tumour immune evasion.Nature reviews. Immunology · 2020Review
- Plasma soluble PD-L1 and STAT3 predict the prognosis in diffuse large B cell lymphoma patients.Journal of Cancer · 2020Article
- High Soluble Programmed Death-Ligand 1 Predicts Poor Prognosis in Patients with Nasopharyngeal Carcinoma.OncoTargets and therapy · 2020Article
- Plasma soluble programmed death ligand 1 levels predict clinical response in peripheral T-cell lymphomas.Hematological oncology · 2019Article
Corrections and comments
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Authors and funding
17 authors at 1 institution in 2 countries.
Funding
Abstract
Immune checkpoints, including PD-1/PD-L1, play an important role in immunosuppression in various malignancies. Elevated levels of soluble programmed death ligand 1 (sPD-L1) are associated with worse prognosis in multiple myeloma and diffuse large B cell lymphoma. Herein, the purpose of this study is to investigate the relationships between plasma sPD-L1 levels and clinical response in peripheral T-cell lymphoma (PTCL) patients. A total of 37 PTCL patients and 20 healthy volunteers were enrolled. Peripheral blood from patients was collected prior to systemic therapy. Plasma levels of sPD-L1 and IFN-γ were measured by enzyme-linked immunosorbent assay (ELISA). PD-L1 expression in tissues was detected by immunohistochemistry (IHC). Clinical response for patients was evaluated. ONCOMINE database analyses showed that PD-L1 mRNA expression was significantly upregulated in PTCLs. The median sPD-L1 level was 0.729 ng/mL for 20 healthy volunteers and 1.696 ng/mL for 37 PTCL patients which was significantly higher than that in healthy volunteers (0.000). The sPD-L1 level was positively correlated with IFN-γ level (0.000, r = 0.849) and was also positively associated with clinical staging (0.045), LDH level (0.003), and β2-MG level (0.045). Patients with high sPD-L1 level had lower overall response rate than those with low sPD-L1 level (88.9% vs 50.0%, 0.022) and tended to have poorer PFS and OS. PD-L1 expression in tissues matched very well with the sPD-L1 level in PTCL patients. In conclusion, PTCL patients had higher sPD-L1 level compared with healthy volunteers. High sPD-L1 level was correlated with worse clinical response, suggesting that sPD-L1 level was an underlying plasma biomarker to predict the prognosis for PTCL patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.