ArticleAutophagy reports2022
A Novel Combination Therapy Approach Targeting STAT3 and Autophagy in Glioblastoma.
Article in Autophagy reports, 2022. 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
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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.
- Breaking adaptive oncogenic resistance in glioblastoma via targeting the EGFR-STAT3 axis.Medical oncology (Northwood, London, England) · 2026Review
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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aggressive brain cancer glioblastoma (GBM) is notoriously resistant to radiotherapy and chemotherapy, which drives tumor recurrence and relapse. GBM cells are highly addicted to STAT3 (signal transducer and activator of transcription 3) and STAT3 inhibition blocks GBM-driven tumor growth. STAT3 regulates macroautophagy/autophagy, a central player in GBM pathobiology. Although autophagy suppression has been implicated in the pathophysiology of GBM, it is unknown if modulation of autophagy can reduce GBM tumorigenesis. Based on observations from our recent study, the answer appears to be yes, and we propose a therapeutic strategy for dual inhibition of STAT3 and MTOR, or STAT3 and ULK1 to target GBM tumorigenesis and chemoresistance.
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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.