ArticleChinese journal of cancer research = Chung-kuo yen cheng yen chiu2023
Predictive value of co-expression patterns of immune checkpoint molecules for clinical outcomes of hematological malignancies.
Article in Chinese journal of cancer research = Chung-kuo yen cheng yen chiu, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Intratumoral PD-1Medical oncology (Northwood, London, England) · 2026Article
- Emerging new immune checkpoint inhibitors in solid tumor immunotherapy.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- PD-1 and LAG-3 were optimal combination of immune checkpoints for predicting poor clinical outcomes of patients with ovarian cancer.Frontiers in immunology · 2025Article
- Increased Co-Expression of PD-L1 and CTLA-4 Predicts Poor Overall Survival in Patients with Acute Myeloid Leukemia Following Allogeneic Hematopoietic Stem Cell Transplantation.ImmunoTargets and therapy · 2025Article
- Prostate cancer immunotherapy-based strategies: an updated review emphasizing immune checkpoint inhibitors.Frontiers in immunology · 2025Review
- The interplay between metal ions and immune cells in glioma: pathways to immune escape.Discover oncology · 2024Review
- Inhibitory Checkpoint Receptor TIM-3 as a Regulator of the Functional Activity of Dendritic Cells.Bulletin of experimental biology and medicine · 2024Review
- Single-cell RNA sequencing gene signatures for classifying and scoring exhausted CD8Cell proliferation · 2024Article
- Higher PD-1/Tim-3 expression on IFN-γ+ T cells is associated with poor prognosis in patients with acute myeloid leukemia.Cancer biology & therapy · 2023Article
- Targeting LAG-3, TIM-3, and TIGIT for cancer immunotherapy.Journal of hematology & oncology · 2023Review
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
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Abstract
Co-expression of immune checkpoint (IC) molecules can exacerbate T cell exhaustion in patients with hematological malignancies (HMs) and contribute to the immune escape of tumor cells, which is related to poor clinical outcome. It is worth establishing and optimizing an ideal prediction model based on the co-expression patterns of IC molecules to evaluate the immune status of HM patients and predict their clinical outcome. In this perspective, we summarize the co-expression patterns of IC molecules and their importance as biomarkers that predict the prognosis of patients with different HMs, providing new insights for designing dual IC blockades (ICBs).
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