SynthesisPloS one2016
The Role of Myeloid-Derived Suppressor Cells in Patients with Solid Tumors: A Meta-Analysis.
Synthesis in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
123 citing papers in PubMed, 1 synthesis or guideline pooled it, 176 citations in OpenAlex.
- The prognostic value of myeloid derived suppressor cell level in hepatocellular carcinoma: A systematic review and meta-analysis.PloS one · 2019Pooled it
- Combination Immunotherapy as a Promising Strategy to Overcome Immunotherapy Resistance: From Emergence to Next-Generation Approaches.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Article
- The composition of MDSC-subpopulations PMN-like, M-like, and e-like MDSC is associated with the severity of infectious mononucleosis in pediatric patients.Frontiers in immunology · 2026Article
- Modelling the metastatic immune microenvironment in triple-negative breast cancer.Breast cancer research : BCR · 2025Article
- Oncogenic EME1 promotes tumor progression and immune modulation in human cancers with therapeutic targeting potential.Discover oncology · 2025Article
- Tumor cells promote immunosuppression in ovarian cancer via a positive feedback loop with MDSCs through the SAA1-IL-1β axis.Journal of experimental & clinical cancer research : CR · 2025Article
- Tumor-infiltrating myeloid cells; mechanisms, functional significance, and targeting in cancer therapy.Cellular oncology (Dordrecht, Netherlands) · 2025Review
- Tumor microenvironment as niche constructed by cancer stem cells: Breaking the ecosystem to combat cancer.Journal of advanced research · 2025Review
- Mutual causal effects between immune cells and hepatocellular carcinoma: a Mendelian randomization study.Discover oncology · 2025Article
- Comprehensive pan-cancer analysis and experimental validation reveal FCHSD1 as a potential biomarker for diagnosis, immune infiltration, and prognosis.Frontiers in oncology · 2025Article
- Host ANGPTL2 establishes an immunosuppressive tumor microenvironment and resistance to immune checkpoint therapy.Cancer science · 2024Article
- Multifaceted Aspects of Dysfunctional Myelopoiesis in Cancer and Therapeutic Perspectives with Focus on HCC.Biomolecules · 2024Review
- Comprehensive snapshots of natural killer cells functions, signaling, molecular mechanisms and clinical utilization.Signal transduction and targeted therapy · 2024Review
- Review
- Reshaping the tumor immune microenvironment to improve CAR-T cell-based cancer immunotherapy.Molecular cancer · 2024Review
- Recent developments in immunotherapy for gastrointestinal tract cancers.Journal of hematology & oncology · 2024Review
- A phase Ib study evaluating the recommended phase II dose, safety, tolerability, and efficacy of mivavotinib in combination with nivolumab in advanced solid tumors.Cancer medicine · 2024Article
- Oncogenic Potential of Replication Factor C Subunit 4: Correlations with Tumor Progression and Assessment of Potential Inhibitors.Pharmaceuticals (Basel, Switzerland) · 2024Article
- SLMO2 is a potential prognostic and immunological biomarker in human pan-cancer.Scientific reports · 2024Article
63 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Targeting immune cells or factors are effective for patients with solid tumors. Myeloid-derived suppressor cells (MDSCs) are known to have immunosuppressive functions, and the levels of MDSCs in patients with solid tumor are assumed to have prognostic values. This meta-analysis aimed at evaluating the relationship between MDSCs and the prognosis of patients with solid tumors. We searched articles in PUBMED and EMBASE comprehensively, updated to March 2016. Eight studies with 442 patients were included in the meta-analysis. We analyzed pooled hazard ratios (HRs) for overall survival (OS), disease-free survival (DFS) and progression-free survival (PFS). The results showed that MDSCs were associated with poor OS (HR, 1.94; 95% confidence interval [CI], 1.42-2.66; P < 0.0001) in patients with solid tumors. PFS/RFS (HR, 1.85; 95% CI, 1.16-2.97; P = 0.01) also indicated the association between MDSCs and prognosis. The HRs and 95% CIs for OS in Asian and non-Asian patients were 2.53 (95% CI 1.61-3.42, p < 0.00001) and 1.67 (95% CI 1.14-2.46, p < 0.0001), respectively. We further analyzed the data according to tumor types. The combined HRs and 95% CIs for OS were 1.26 (95% CI 1.10-1.44, p = 0.0003) for gastrointestinal (GI) cancer, 2.59 (95% CI 1.69-3.98, p < 0.0001) for hepatocellular carcinoma (HCC) and 1.86 (95% CI 1.26-2.75, p = 0.002) for other tumor types. In conclusion, MDSCs had a fine prognostic value for OS and PFS/RFS in patients with solid tumors. MDSCs could be used as biomarkers to evaluate prognosis in clinical practice.
Indexed as
Identifiers
What OpenQuestion holds
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.