SynthesisJournal of cancer research and clinical oncology2023
Clinical outcomes of PD-1/PD-L1 inhibitors in patients with advanced hepatocellular carcinoma: a systematic review and meta-analysis.
Synthesis in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 5 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
18 citing papers in PubMed, 5 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Hepatotoxicity of ICI monotherapy or combination therapy in HCC: A systematic review and meta-analysis.PloS one · 2025Pooled it
- Comparison of Efficacy and Safety between Immune Checkpoint Inhibitors and Targeted Drugs in Unresectable Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis.Combinatorial chemistry & high throughput screening · 2025Pooled it
- Efficacy and safety of nivolumab plus ipilimumab in gastrointestinal cancers: a systematic review and meta-analysis.Frontiers in oncology · 2024Pooled it
- Efficacy and safety of PD-1/PD-L1 inhibitor-based immune combination therapy versus sorafenib in the treatment of advanced hepatocellular carcinoma: a meta-analysis.Frontiers in medicine · 2024Pooled it
- Immune-Based Combinations versus Sorafenib as First-Line Treatment for Advanced Hepatocellular Carcinoma: A Meta-Analysis.Current oncology (Toronto, Ont.) · 2023Pooled it
- m6A regulators-based gene expression pattern is associated with immune microenvironment characteristics in hepatocellular carcinoma.Scientific reports · 2025Article
- Immunological Landscape and Molecular Therapeutic Targets of the Tumor Microenvironment in Hepatocellular Carcinoma.International journal of molecular sciences · 2025Review
- Increased expression of DNAJC7 promotes the progression of hepatocellular carcinoma by influencing the cell cycle and immune microenvironment.Journal of cancer research and clinical oncology · 2025Article
- PD‑1/PD‑L1 immune checkpoint in bone and soft tissue tumors (Review).Molecular and clinical oncology · 2025Review
- Schisanhenol Inhibits the Proliferation of Hepatocellular Carcinoma Cells by Targeting Programmed Cell Death-ligand 1Anti-cancer agents in medicinal chemistry · 2025Article
- The distribution characteristics of PD-1 pathway-related immune cells in esophageal cancer tissue and their prognostic significance.PloS one · 2025Article
- Novel Strategies for the Treatment of Lung Cancer: An In-depth Analysis of the Use of Immunotherapy, Precision Medicine, and Artificial Intelligence to Improve Prognoses.Current medicinal chemistry · 2025Review
- Construction and validation of a novel lysosomal signature for hepatocellular carcinoma prognosis, diagnosis, and therapeutic decision-making.Scientific reports · 2023Article
- A novel tumor immunotherapy-related signature for risk stratification, prognosis prediction, and immune status in hepatocellular carcinoma.Scientific reports · 2023Article
- A multi-center retrospective study on the efficacy and safety of regorafenibAnnals of translational medicine · 2023Article
- A contrast-enhanced ultrasound-based nomogram for the prediction of therapeutic efficiency of anti-PD-1 plus anti-VEGF agents in advanced hepatocellular carcinoma patients.Frontiers in immunology · 2023Article
- Trans-Arterial Chemoembolization Plus Systemic Treatments for Hepatocellular Carcinoma: An Update.Journal of personalized medicine · 2022Article
- Challenges and Future Trends of Hepatocellular Carcinoma Immunotherapy.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
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeProgrammed death ligand 1(PD-L1)/programmed cell death-1(PD-1) inhibitors have shown promising efficacy in unresectable patients with advanced hepatocellular carcinoma (HCC), but the results are not consistent. Our goal was to evaluate the safety and efficacy of PD-L1/PD-1 inhibitors or plus anti-CTLA-4 antibody or anti-VEGF agents for the treatment of unresectable HCC.
methodsCochrane library, Embase, and PubMed were searched till August 2021. Data on progression-free survival (PFS), objective response rate (ORR), overall survival (OS), and disease control rate (DCR) were pooled and analyzed by Stata14 software.
resultsThirteen prospective trials with 2,386 HCC patients were included. Pooled analysis estimated an ORR of about 0.21 (95% CI = 0.18-0.25) and a DCR of 0.59 (95% CI = 0.52-0.65) for anti-PD-1/PD-L1 therapy. Summary PFS was 4.19 (95% CI = 3.31-5.18) months and summary OS was 13.23 (95% CI = 12.06-14.41) months. After using PD-L1/PD-1 inhibitors plus anti-VEGF agents, ORR was 0.26 (95% CI = 0.20-0.33), DCR was 0.75 (95% CI = 0.69-0.81) and PFS was 6.2 (95% CI = 4.61-7.78) months. PD-L1/PD-1 inhibitors plus anti-CTLA-4 antibody therapy achieved an ORR of 0.23 (95% CI = 0.14-0.33), an DCR of 0.44 (95% CI = 0.39-0.50) and a PFS of 1.88 (95% CI = 1.51-2.26).
conclusionsPD-L1/PD-1 inhibitors were effective and tolerable in patients with advanced HCC. Furthermore, compared with anti-PD-1/PD-L1 monotherapy, PD-L1/PD-1 inhibitors plus anti-VEGF agents resulted in more clinical improvements in ORR, DCR, and PFS.
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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.