Evidence map›Paper›PMID 36551961›Full record

ReviewBiomedicines2022

Beyond Imaging and Genetic Signature in Glioblastoma: Radiogenomic Holistic Approach in Neuro-Oncology.

Lidia Gatto, Enrico Franceschi, Alicia Tosoni, Vincenzo Di Nunno, Caterina Tonon, Raffaele Lodi, Raffaele Agati, Stefania Bartolini, Alba Ariela Brandes

Abstract readReview
In one paragraph

Review in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Lidia GattoMedical Oncology Department, Azienda USL of Bologna, 40139 Bologna, Italy.
Enrico FranceschiNervous System Medical Oncology Department, IRCCS Istituto Delle Scienze Neurologiche di Bologna, 40139 Bologna, Italy.ORCID 0000-0001-9332-4677
Alicia TosoniNervous System Medical Oncology Department, IRCCS Istituto Delle Scienze Neurologiche di Bologna, 40139 Bologna, Italy.
Vincenzo Di NunnoMedical Oncology Department, Azienda USL of Bologna, 40139 Bologna, Italy.
Caterina TononDepartment of Biomedical and Neuromotor Sciences, University of Bologna, 40139 Bologna, Italy.
Raffaele LodiDepartment of Biomedical and Neuromotor Sciences, University of Bologna, 40139 Bologna, Italy.
Raffaele AgatiDepartment of Neuroradiology, Bellaria Hospital, IRCCS Istituto Delle Scienze Neurologiche di Bologna, 40139 Bologna, Italy.
Stefania BartoliniNervous System Medical Oncology Department, IRCCS Istituto Delle Scienze Neurologiche di Bologna, 40139 Bologna, Italy.
Alba Ariela BrandesNervous System Medical Oncology Department, IRCCS Istituto Delle Scienze Neurologiche di Bologna, 40139 Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is a malignant brain tumor exhibiting rapid and infiltrative growth, with less than 10% of patients surviving over 5 years, despite aggressive and multimodal treatments. The poor prognosis and the lack of effective pharmacological treatments are imputable to a remarkable histological and molecular heterogeneity of GBM, which has led, to date, to the failure of precision oncology and targeted therapies. Identification of molecular biomarkers is a paradigm for comprehensive and tailored treatments; nevertheless, biopsy sampling has proved to be invasive and limited. Radiogenomics is an emerging translational field of research aiming to study the correlation between radiographic signature and underlying gene expression. Although a research field still under development, not yet incorporated into routine clinical practice, it promises to be a useful non-invasive tool for future personalized/adaptive neuro-oncology. This review provides an up-to-date summary of the recent advancements in the use of magnetic resonance imaging (MRI) radiogenomics for the assessment of molecular markers of interest in GBM regarding prognosis and response to treatments, for monitoring recurrence, also providing insights into the potential efficacy of such an approach for survival prognostication. Despite a high sensitivity and specificity in almost all studies, accuracy, reproducibility and clinical value of radiomic features are the Achilles heel of this newborn tool. Looking into the future, investigators' efforts should be directed towards standardization and a disciplined approach to data collection, algorithms, and statistical analysis.

Indexed as

apparent diffusion coefficient (ADC)diffusion weighted MR imaging (DWI)glioblastoma (GBM)isocitrate dehydrogenase (IDH) mutationO6-methylguanine-DNA methyl-transferase (MGMT) promoter methylationpseudoprogressionradiogenomicsradiomics

Identifiers

PMID36551961
PMCPMC9775324

What OpenQuestion holds

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Registered trials

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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.