SynthesisWorld journal of surgical oncology2019
Clinicopathological and prognostic significance of PD-L1 expression in colorectal cancer: a systematic review and meta-analysis.
Synthesis in World journal of surgical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 7 of them syntheses that pooled it.
What it found
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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
37 citing papers in PubMed, 7 syntheses or guidelines pooled it, 58 citations in OpenAlex.
- Prognostic and clinicopathological value of soluble programmed cell death ligand-1 (sPD-L1) in patients with colorectal cancer: a meta-analysis.World journal of surgical oncology · 2025Pooled it
- Efficacy of PD-1/PD-L1 inhibitors in patients with advanced gastroesophageal cancer: An updated meta-analysis based on randomized controlled trials.Frontiers in pharmacology · 2022Pooled it
- Clinicopathological and prognostic significance of PD-L1 expression in colorectal cancer: a meta-analysis.International journal of colorectal disease · 2021Pooled it
- Prognostic Function of Programmed Cell Death-Ligand 1 in Esophageal Squamous Cell Carcinoma Patients Without Preoperative Therapy: A Systematic Review and Meta-Analysis.Frontiers in oncology · 2021Pooled it
- Prognostic and Clinicopathological Significance of PD-L1 in Patients with Cholangiocarcinoma: A Meta-Analysis.Disease markers · 2020Pooled it
- Prognostic Value of Programmed Cell Death Ligand-1 Expression in Nasopharyngeal Carcinoma: A Meta-Analysis of 1,315 Patients.Frontiers in oncology · 2019Pooled it
- Prognostic and Clinicopathological Significance of PD-L1 in Patients With Bladder Cancer: A Meta-Analysis.Frontiers in pharmacology · 2019Pooled it
- The Role of Monoclonal Antibody Targeted Therapy (Panitumumab) in the Treatment of Metastatic Colorectal Cancer-A Narrative Review of Current Evidence and Emerging Therapeutic Strategies.International journal of molecular sciences · 2026Review
- The prognostic significance of B7-H3 expression in patients with advanced colorectal cancer.BMC cancer · 2026Article
- The Correlation ofCancers · 2026Article
- Synthetic microbial consortia based on quorum-sensing for disease therapy.Bioresources and bioprocessing · 2025Review
- Immunohistochemical Expression of Programmed Death Ligand- 1 (PD-L1) in Colorectal Carcinoma; A Cross-sectional Study.Iranian journal of pathology · 2024Article
- Clinical implications of PD-L1 expression and pathway-related molecular subtypes in advanced Asian colorectal cancer patients.American journal of cancer research · 2024Article
- A Comprehensive Study on the Prognostic Value and Clinicopathological Significance of Different Immune Checkpoints in Patients With Colorectal Cancer: A Systematic Review and Meta-Analysis.Current therapeutic research, clinical and experimental · 2024Review
- Immunotherapy and radiotherapy for older patients with locally advanced rectal cancer unfit for surgery or decline surgery: a practical proposal by the International Geriatric Radiotherapy Group.Frontiers in oncology · 2024Article
- Ibero-American Consensus Review and Incorporation of New Biomarkers for Clinical Practice in Colorectal Cancer.Cancers · 2023Review
- Article
- Rational design of synthetically tractable HDAC6/HSP90 dual inhibitors to destroy immune-suppressive tumor microenvironment.Journal of advanced research · 2023Article
- Prognostic Value of BRAF, Programmed Cell Death 1 (PD1), and PD Ligand 1 (PDL1) Protein Expression in Colon Adenocarcinoma.Diagnostics (Basel, Switzerland) · 2023Article
- Blocking Muscarinic Receptor 3 Attenuates Tumor Growth and Decreases Immunosuppressive and Cholinergic Markers in an Orthotopic Mouse Model of Colorectal Cancer.International journal of molecular sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo analyze the prognostic value of programmed death factor ligand 1 (PD-L1) in colorectal cancer.
methodsElectronic databases, such as PubMed, Web of Science, Embase, and Cochrane library, were searched to identify studies evaluating the PD-L1 expression and overall survival (OS) in these patients. Afterwards, the relevant data were extracted to perform the meta-analysis.
resultsA total of 3481 patients were included in 10 studies. The combined hazard ratio (HR) was 1.22 (95%CI = 1.01-1.48, P = 0.04), indicating that high expression of PD-L1 was significantly correlated with poor prognosis of colorectal cancer. Apropos of clinicopathological features, the merged odds ratio (OR) exhibited that highly expressed PD-L1 was firmly related to lymphatic invasion (OR = 3.49, 95%CI = 1.54-7.90, P = 0.003) and advanced stage (OR = 1.77, 95%CI = 1.41-2.23, P < 0.00001), but not correlative with patients' gender, microsatellite instability, or tumor location.
conclusionThe expression of PD-L1 can be utilized as an independent factor in judging the prognosis of colorectal cancer, and patients with advanced cancer or lymphatic invasion are more likely to express PD-L1. This conclusion may lay a theoretical foundation for the application of PD-1/PD-L1 immunoassay point inhibitors but still needs verifying by sizeable well-designed cohort studies.
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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.