ReviewMolecular diagnosis & therapy2026
Decoding and Overcoming Temozolomide Resistance Through CRISPR/Cas Technologies.
Review in Molecular diagnosis & therapy, 2026. 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
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
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Intrinsic and acquired resistance to temozolomide (TMZ), the standard chemotherapeutic agent for glioblastoma (GBM), is highly common and results in poor clinical outcomes. This review highlights the emerging dual role of Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-associated protein (Cas) technologies in addressing this challenge. First, it examines genome-wide CRISPR screens that revealed DNA damage repair networks, stress adaptations, stemness maintenance, and tumor heterogeneity as key drivers of resistance to TMZ. Second, it examines CRISPR/Cas-based strategies, including targeted gene disruption and epigenetic silencing of O
Identifiers
42455481What Socratic 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 Socratic graph.