ReviewFrontiers in oncology2026
Aptamers targeting immune checkpoints for tumor immunotherapy: a comprehensive review.
Review in Frontiers in 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.
- Comparative study of the tumor-infiltrating lymphocytes before and after neoadjuvant chemoimmunotherapy in esophageal squamous cell carcinoma.Journal of cardiothoracic surgery · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumor immunotherapy has transformed the cancer treatment paradigm by leveraging the host immune system to identify and eradicate tumor cells in the body. Immune checkpoint inhibitors (ICIs) targeting programmed cell death protein 1 (PD-1), programmed death ligand 1 (PD-L1), and cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) have achieved significant clinical success. However, major limitations, such as therapeutic resistance, immune-mediated toxicities, and high treatment costs, necessitate the development of alternative and more efficient strategies. Aptamers, short-chain single-stranded nucleic acid ligands with high binding specificity and affinity, have emerged as compelling candidates for cancer therapy due to their superior tissue penetration, reduced immunogenicity, and ease of chemical modification compared to antibody therapies. This review provides an inclusive overview of aptamer-based approaches for targeting immune checkpoints, with a specific emphasis on PD-1/PD-L1 and CTLA-4. In addition, we highlight recent advancements in the engineering of bispecific and multifunctional aptamers, their role in overcoming immune resistance, and their potential to improve therapeutic performance. We also discuss innovative approaches to enhance aptamer stability, bioavailability, and tumor-specific delivery through chemical tailoring and nanoparticle conjugation. Although most aptamer-based checkpoint inhibitors remain in preclinical stages, early phase clinical investigations (primarily with C-X-C motif chemokine ligand 12 (CXCL12)-targeting Spiegelmer NOX-A12 in combination settings, as well as earlier programs such as AS1411 targeting nucleolin) have demonstrated effective inhibition of immune checkpoint signaling, reactivation of T-cell function, and synergistic effects when combined with existing immunotherapies. Preclinical and early phase clinical investigations have demonstrated that aptamers can effectively inhibit immune checkpoint signaling, reactivate T-cell function, and potentiate synergistic effects when combined with existing immunotherapies. By critically evaluating current progress and identifying key translational challenges, this review provides strategic insights into the future development of aptamer-based immunotherapeutic platforms, ultimately guiding the advancement of more precise, cost-effective, and personalized cancer treatment modalities.
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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.