ArticleCancer prevention research (Philadelphia, Pa.)2020
Prevention of Tobacco Carcinogen-Induced Lung Tumor Development by a Novel STAT3 Decoy Inhibitor.
Article in Cancer prevention research (Philadelphia, Pa.), 2020. 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, 6 citations in OpenAlex.
- Decoy oligonucleotide technology in cancer therapy: molecular mechanisms, challenges, and translational potential.Medical oncology (Northwood, London, England) · 2026Review
- Safety and efficacy of a STAT3-targeted cyclic oligonucleotide: From murine models to a phase 1 clinical trial in pet cats with oral cancer.Cancer cell · 2025Article
- Nanoparticle-Mediated Delivery of STAT3 Inhibitors in the Treatment of Lung Cancer.Pharmaceutics · 2022Review
- Multicellular Effects of STAT3 in Non-small Cell Lung Cancer: Mechanistic Insights and Therapeutic Opportunities.Cancers · 2021Review
- Anwulignan is a novel JAK1 inhibitor that suppresses non-small cell lung cancer growth.Journal of cellular and molecular medicine · 2021Article
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 at 2 institutions in 2 countries.
Funding
Abstract
The STAT3 pathway is frequently overactive in non-small cell lung cancer (NSCLC), an often fatal disease with known risk factors including tobacco and chemical exposures. Whether STAT3 can be downmodulated to delay or prevent development of lung cancer resulting from an environmental exposure has not been previously tested. A circular oligonucleotide STAT3 decoy (CS3D) was used to treat mice previously exposed to the tobacco carcinogen nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone. CS3D contains a double-stranded STAT3 DNA response element sequence and interrupts STAT3 signaling by binding to STAT3 dimers, rendering them unable to initiate transcription at native STAT3 DNA binding sites. An intermittent course of CS3D decreased the development of airway preneoplasias by 42% at 1 week posttreatment, reduced the progression of preneoplasia to adenomas by 54% at 8 weeks posttreatment, and reduced the size and number of resulting lung tumors by 49.7% and 29.5%, respectively, at 20 weeks posttreatment. No toxicity was detected. A mutant cyclic oligonucleotide with no STAT3 binding ability was used as a control. Chemopreventive effects were independent of the KRAS mutational status of the tumors. In lungs harvested during and after the treatment course with CS3D, airway preneoplasias had reduced STAT3 signaling. Chemopreventive effects were accompanied by decreased VEGFA expression, ablated IL6, COX-2, and p-NF-κB, and decreased pulmonary M2 macrophages and myeloid-derived suppressor cells. Thus, downmodulation of STAT3 activity using a decoy molecule both reduced oncogenic signaling in the airway epithelium and favored a lung microenvironment with reduced immunosuppression.
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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.