ArticleNature reviews. Drug discovery2016
Development of immuno-oncology drugs - from CTLA4 to PD1 to the next generations.
Article in Nature reviews. Drug discovery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 337 papers, 13 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
337 citing papers in PubMed, 13 syntheses or guidelines pooled it.
- Baseline D-dimer as a predictor of immune checkpoint inhibitor efficacy in cancer.Annals of medicine · 2026Pooled it
- Prediction of PD-L1 expression in nonsmall cell lung cancer using artificial intelligence models based on radiomics: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2026Pooled it
- The predictive value of the neutrophil/eosinophil ratio in cancer patients undergoing immune checkpoint inhibition: a meta-analysis and a validation cohort in hepatocellular carcinoma.Frontiers in immunology · 2025Pooled it
- Discontinuation risk from adverse events: immunotherapy alone vs. combined with chemotherapy: a systematic review and network meta-analysis.BMC cancer · 2024Pooled it
- Treatment-related adverse events of immune checkpoint inhibitors in clinical trials: a systematic review and meta-analysis.Frontiers in oncology · 2024Pooled it
- Pan-immune inflammation value as a prognostic biomarker for cancer patients treated with immune checkpoint inhibitors.Frontiers in immunology · 2024Pooled it
- Chronic immune-related adverse events in patients with cancer receiving immune checkpoint inhibitors: a systematic review.Journal for immunotherapy of cancer · 2023Pooled it
- The negative impact of opioids on cancer patients treated with immune checkpoint inhibitors: a systematic review and meta-analysis.Journal of cancer research and clinical oncology · 2023Pooled it
- Comparative Risk of Renal Adverse Events in Patients Receiving Immune Checkpoint Inhibitors: A Bayesian Network Meta-Analysis.Frontiers in oncology · 2021Pooled it
- Application of Carbon Ion and Its Sensitizing Agent in Cancer Therapy: A Systematic Review.Frontiers in oncology · 2021Pooled it
- Meta-analysis of the gut microbiota in predicting response to cancer immunotherapy in metastatic melanoma.JCI insight · 2020Pooled it
- Efficacy and safety of combination PD-1/PD-L1 checkpoint inhibitors for malignant solid tumours: A systematic review.Journal of cellular and molecular medicine · 2020Pooled it
- Hepatotoxicity in patients with solid tumors treated with PD-1/PD-L1 inhibitors alone, PD-1/PD-L1 inhibitors plus chemotherapy, or chemotherapy alone: systematic review and meta-analysis.European journal of clinical pharmacology · 2020Pooled it
- Illuminating cancer therapy: The translational path of optogenetics.Bioactive materials · 2026Review
- Cardiotoxicity of Immune Checkpoint Inhibitors and Chimeric Antigen Receptor T-Cell Therapy.Journal of cardiovascular development and disease · 2026Review
- PathTIGR: A pathway topology-informed graph representation learning framework for immunotherapy response prediction.Science advances · 2026Article
- Severe Immune-Related Neurological Adverse Events Associated With Immune Checkpoint Inhibitor Treatment: A Retrospective Single-Center Study.European journal of neurology · 2026Article
- Information borrowing in phase II randomized dose-ranging clinical trials in oncology.BMC medical research methodology · 2026Article
- Electrocardiographic predictors of major adverse cardiovascular events in immune checkpoint inhibitor-associated myocarditis.Cardio-oncology (London, England) · 2026Article
- Exploring FDA-approved small molecules for their potential as PD-1/PD-L1 inhibitors: integrating computational screening with experimental testing.Journal of molecular modeling · 2026Article
277 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
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the regulatory approval of ipilimumab in 2011, the field of cancer immunotherapy has been experiencing a renaissance. This success is based on progress in both preclinical and clinical science, including the development of new methods of investigation. Immuno-oncology has become a sub-specialty within oncology owing to its unique science and its potential for substantial and long-term clinical benefit. Immunotherapy agents do not directly attack the tumour but instead mobilize the immune system - this can be achieved through various approaches that utilize adaptive or innate immunity. Therefore, immuno-oncology drug development encompasses a broad range of agents, including antibodies, peptides, proteins, small molecules, adjuvants, cytokines, oncolytic viruses, bi-specific molecules and cellular therapies. This Perspective summarizes the recent history of cancer immunotherapy, including the factors that led to its success, provides an overview of novel drug-development considerations, summarizes three generations of immunotherapies that have been developed since 2011 and, thus, illustrates the breadth of opportunities these new generations of immunotherapies represent.
Indexed as
Identifiers
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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.