ReviewCell communication and signaling : CCS2025
Glioma drug development benefits from emerging phase 0 and window-of-opportunity trial paradigm.
Review in Cell communication and signaling : CCS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
2 authors.
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Abstract
Clinical drug development is fundamentally difficult for rare and difficult-to-treat solid tumors, for example, glioma. Glioblastoma (GBM), an invariably fatal primary brain tumor, poses a significant challenge in the realm of effective treatments, necessitating an accelerated approach to innovative drug discovery. Investigators keep requiring a process toward obtaining more reliable early-stage signals related to drug activity and a process toward translating those signals into clinical benefits efficiently in late-stage drug development. Besides, these processes could increase the likelihood of benefit in late-stage settings at a lower cost and encourage more opportunities for drug development against other rare and difficult-to-treat cancers. Phase 0 and window-of-opportunity design has been advocated for glioma, aiming to identify and eliminate ineffective therapies early in the specific drug development process, thereby enhancing overall trial quality. However, challenges persist in implementing this trial design including obtaining pre-treatment samples, establishing accurate methodological platforms and biostatistical pipelines, and identifying novel biomarkers based on both clinical and multi-omics information to predict long-term drug responses. In this review, we encapsulate current evidence regarding the window-of-opportunity design in glioma, advocating for its recognition as a standard paradigm in new drug development.
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