ReviewImmunoTargets and therapy2025
TLR9: A Double-Dealing Toll-Like Receptor.
Review in ImmunoTargets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- TLR2 and TLR9 in Brain Cancer Patients in Relation to EBV Status.International journal of molecular sciences · 2026Article
- Postbiotics Against Breast Cancer: A Narrative Review Bridging Preclinical Evidence with Potential Clinical Application.Cancers · 2026Review
- TLR9-mediated innate immune signaling contributes to acetaminophen-induced injury in the developing lung.American journal of physiology. Lung cellular and molecular physiology · 2026Article
- Beyond receptor activation: biased toll-like receptor signaling in periodontal inflammation and regeneration.Frontiers in immunology · 2026Review
- The interplay between oncolytic viruses, Toll-like receptor signaling, and chemotherapy in overcoming tumor immune tolerance.Frontiers in cellular and infection microbiology · 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
4 authors.
Funding
Abstract
In 2011, the Nobel Prize was awarded for the discovery of Toll-like receptors (TLRs) and their critical role in immunity. TLR9 is a key pattern recognition receptor that detects unmethylated cytosine-phosphate-guanine (CpG) DNA motifs, triggering innate and adaptive immune responses against pathogens and damaged host cells. Upon activation, TLR9 triggers signaling cascades that drive NF-κB, STAT3, and MAPK pathways, modulating inflammatory responses, cellular survival mechanisms, and immune regulation. While TLR9 activation is essential for immune defense, TLR9 acts as a double-dealing TLR in multiple pathologies, including cancer, autoimmunity, and chronic inflammatory disease. In cancer biology, TLR9 exhibits context-dependent roles, acting as a driver of tumorigenesis, a suppressor of tumor growth, and a regulator of immune responses, depending on the tumor type, signaling pathway, and microenvironment. It promotes tumorigenesis in leukemias, gliomas, and cancers of the prostate, bone, lung, and gastrointestinal tract, yet displays tumor-suppressive effects in triple-negative breast cancer, renal cell carcinoma, and virally-associated malignancies, through a variety of mechanisms. Clinically, synthetic CpG oligodeoxynucleotides (ODNs), which function as TLR9 agonists, have emerged as a promising approach in cancer immunotherapy, particularly in combination with other potent anticancer therapies. However, the dual nature of TLR9 signaling poses challenges for therapeutic applications. Its context-dependent effects contribute to inconsistent clinical outcomes and raise concerns about safety and toxicity. This review examines the immunologic function and signaling mechanisms of TLR9, with a focus on its complex, context-specific, and "double-dealing" roles in cancer pathogenesis and therapy.
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.