ReviewCell communication and signaling : CCS2024
Mechanisms, combination therapy, and biomarkers in cancer immunotherapy resistance.
Review in Cell communication and signaling : CCS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses 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
62 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Optimal First-line Immune-related Therapy Selection for Advanced Gastric Cancer: A Systematic Review and Network Meta-analysis.Journal of gastrointestinal cancer · 2026Pooled it
- Efficacy and safety of Nivolumab in advanced gastric and gastroesophageal junction cancer: a meta-analysis of randomized controlled trials.BMC gastroenterology · 2024Pooled it
- Bridging BET bromodomain and immune checkpoint inhibitors through generative bioorganic frameworks for next-generation cancer immunotherapy.RSC medicinal chemistry · 2026Review
- Cancer drug response and resistance: molecular mechanisms and combating strategies.Signal transduction and targeted therapy · 2026Review
- Plasticity of Non-Apoptotic Residual Tumor Cells After Neoadjuvant Immunochemotherapy: Epigenetic and Microenvironmental Determinants.Biomolecules · 2026Review
- Review
- From Breakthrough to Access: How Biotechnology and Artificial Intelligence are Reshaping the Scalability and Precision of Cancer Immunotherapy.Iranian journal of biotechnology · 2026Article
- Cancer Vaccines in Genitourinary Malignancies: Current Advances and Future Directions.Vaccines · 2026Review
- A Roadmap to Transform Lung Cancer Outcomes: Priorities in Biology, Therapeutic Innovation, Early Detection, Prevention, and Interception.Cancer discovery · 2026Review
- Metabolic Regulation of Immune Responses: Molecular Mechanisms, Diseases, and Therapeutic Targets.MedComm · 2026Review
- Dihydrosanguinarine: A Review of Its Pharmacology, Structure-Activity Relationship, Toxicity, Pharmacokinetics, and Clinical Prospects.International journal of molecular sciences · 2026Review
- Programmed Cell Death Protein 1-Interleukin-2 Bispecific Agents for Cancer Therapy.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026Review
- Efficacy of Ipilimumab and Nivolumab Rechallenge in a Long-Term Melanoma Survivor: A Case Report.The American journal of case reports · 2026Article
- Biopharmaceuticals for Cancer Treatment: An Update.Cancer medicine · 2026Review
- KCNK9 could be a prognostic biomarker in uterine corpus endometrial carcinoma.Translational cancer research · 2026Article
- Comparative study of clinical features, pathology, and immunophenotype between HIV-related cutaneous and visceral Kaposi's sarcoma.BMC cancer · 2026Article
- The application of ICG-based photodynamic therapy combined with nanotechnology in tumor treatment.RSC advances · 2026Review
- Integrative Sequencing and Proteogenomic Approaches to Intratumoral Heterogeneity in Cholangiocarcinoma: Implications for Precision Diagnosis and Therapy.Medical sciences (Basel, Switzerland) · 2026Review
- Case Report: A rare case of Pneumocystis jirovecii infection with left hydropneumothorax following immunotherapy for stage IVB clear cell renal cell carcinoma.Frontiers in medicine · 2026Article
- Article
2 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
5 authors.
Funding
Abstract
Anti-programmed death 1/programmed death ligand 1 (anti-PD-1/PD-L1) antibodies exert significant antitumor effects by overcoming tumor cell immune evasion and reversing T-cell exhaustion. However, the emergence of drug resistance causes most patients to respond poorly to these immune checkpoint inhibitors (ICIs). Studies have shown that insufficient T-cell infiltration, lack of PD-1 expression, deficient interferon signaling, loss of tumor antigen presentation, and abnormal lipid metabolism are all considered to be closely associated with immunotherapy resistance. To address drug resistance in tumor immunotherapy, a lot of research has concentrated on developing combination therapy strategies. Currently, ICIs such as anti-PD-1 /PD-L1 antibody combined with chemotherapy and targeted therapy have been approved for clinical treatment. In this review, we analyze the mechanisms of resistance to anti-PD-1/PD-L1 therapy in terms of the tumor microenvironment, gut microbiota, epigenetic regulation, and co-inhibitory immune checkpoint receptors. We also discuss various promising combination therapeutic strategies to address resistance to anti-PD-1/PD-L1 drugs, including combining these therapies with traditional Chinese medicine, non-coding RNAs, targeted therapy, other ICIs, and personalized cancer vaccines. Moreover, we focus on biomarkers that predict resistance to anti-PD-1/PD-L1 therapy as well as combination therapy efficacy. Finally, we suggest ways to further expand the application of immunotherapy through personalized combination strategies using biomarker systems.
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.