ReviewBiomedicine & pharmacotherapy = Biomedecine & pharmacotherapie2026
Aptamers in cancer therapy: Why has clinical translation lagged behind preclinical promise?
Review in Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Engineering the Future of Precision Medicine: A Comprehensive Guide to RNA Therapeutics.Current issues in molecular biology · 2026Review
- Beyond Junk DNA: Emerging Roles of Non-Coding RNAs in Cancer and Therapeutic Innovation.Biomolecules · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Aptamers have attracted substantial interest as cancer therapeutics due to their high target specificity, chemical programmability, and versatility in drug and RNA delivery; however, despite extensive preclinical development, clinical translation in oncology has remained extremely limited, with no aptamer-based therapies approved for cancer indications to date. This gap reflects not a failure of binding affinity, but a fundamental misalignment between aptamer selection and evaluation paradigms and the biological complexity of human tumors. Most aptamers are selected against purified proteins or homogeneous cell lines that fail to capture tumor heterogeneity, dynamic target regulation, and microenvironmental influences encountered in patients, while inconsistent assessment of pharmacokinetics, biodistribution, and functional activity further limits translational predictability. Through analysis of representative clinical programs, including the systemic nucleolin-targeting aptamer AS1411, the microenvironment-modulating CXCL12 inhibitor NOX-A12, and the locally administered personalized platform AM003, this review highlights how delivery strategy, target context, and clinical deployment critically shape therapeutic outcomes. Recurrent translational barriers related to systemic exposure, tumor accessibility, regulatory pathways, and competition with established modalities are identified, together with lessons from both failed and emerging programs. Finally, we discuss practical strategies to improve clinical alignment, including human-relevant selection models, localized or combination therapies, and AI-assisted design, positioning aptamers for context-appropriate roles in future precision oncology.
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.