ReviewDiscover oncology2026
Next generation approaches in cancer immunotherapy targeting mechanisms beyond PD1 and PDL1.
Review in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer immunotherapy has revolutionized oncology by leveraging the immune system’s ability to recognize and eliminate tumor cells. Among the most impactful advances are immune checkpoint inhibitors that target the programmed death-1 (PD-1) receptor and its ligand PD-L1, which can restore T cell activity and generate durable responses across several cancer types. However, their effectiveness is limited by both primary and acquired resistance, restricting long-term benefit to a subset of patients. This review highlights current progress in cancer immunotherapy and explores emerging strategies beyond PD-1/PD-L1 blockade. Novel inhibitory and co-stimulatory immune checkpoints such as lymphocyte activation gene-3 (LAG-3), T cell immunoglobulin mucin-3 (TIM-3), T cell immunoreceptor with Ig and ITIM domains (TIGIT), OX40, CD137 (4-1BB), and CD40 are examined for their potential to enhance anti-tumor immunity. The rationale for combining immunotherapy with chemotherapy, radiotherapy, targeted therapies, oncolytic viruses, and neoantigen vaccines is discussed in the context of overcoming resistance. Additional emphasis is placed on modifying the tumor microenvironment, targeting tumor metabolism, and overcoming stromal barriers. Advanced delivery systems such as chimeric antigen receptor (CAR) T cells, bispecific antibodies, and nanoparticle-based platforms offer improved specificity and reduced toxicity. Biomarker-guided precision immuno-oncology using tumor mutational burden, microsatellite instability, and immune gene signatures is advancing clinical decision-making. Gut microbiota modulation and artificial intelligence-based tools are also emerging as critical components in optimizing therapeutic outcomes. Collectively, this review proposes a multidimensional and personalized immunotherapy paradigm aimed at broadening clinical efficacy and overcoming resistance beyond conventional PD-1/PD-L1 inhibition.
Indexed as
Identifiers
What Socratic 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 Socratic graph.