ArticleCancer informatics2020
Computational Analysis of
Article in Cancer informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 9 citations in OpenAlex.
- Integrating molecular profiling into glioma diagnosis: implications of the WHO-CNS5-2021 classification of adult-type diffuse gliomas in Colombian patients.Frontiers in neurology · 2025Article
- Bioinformatic Characterization of the Functional and Structural Effect of Single Nucleotide Mutations in Patients with High-Grade Glioma.Biomedicines · 2024Article
- Aberrant ATM signaling and homology-directed DNA repair as a vulnerability of p53-mutant GBM to AZD1390-mediated radiosensitization.Science translational medicine · 2024Article
- Sequence-structure functional implications and molecular simulation of high deleterious nonsynonymous substitutions inFrontiers in pharmacology · 2022Article
- Novel Driver Strength Index highlights important cancer genes in TCGA PanCanAtlas patients.PeerJ · 2022Article
- BCKDK alters the metabolism of non-small cell lung cancer.Translational lung cancer research · 2021Article
- Bioinformatics Analysis of Differentially Expressed Genes and miRNAs in Low-Grade Gliomas.Cancer informatics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe emergence of new omics approaches, such as genomic algorithms to identify tumor mutations and molecular modeling tools to predict the three-dimensional structure of proteins, has facilitated the understanding of the dynamic mechanisms involved in the pathogenesis of low-grade gliomas including oligodendrogliomas and astrocytomas.
methodsIn this study, we targeted known mutations involved in low-grade gliomas, starting with the sequencing of genomic regions encompassing exon 4 of isocitrate dehydrogenase 1 (
resultsWe obtain a mutation that has an effect on the catalytic site of the protein
conclusionIn low-grade gliomas, mutations in
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.