Evidence map›Paper›PMID 38172718›Full record

ArticleBMC cancer2024

IDH1 mutation is detectable in plasma cell-free DNA and is associated with survival outcome in glioma patients.

Stefania Crucitta, Francesco Pasqualetti, Alessandra Gonnelli, Martina Ruglioni, Giovanna Irene Luculli, Martina Cantarella, Valerio Ortenzi, Cristian Scatena, Fabiola Paiar, Antonio Giuseppe Naccarato and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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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

12 authors at 3 institutions in 2 countries.

Stefania Crucitta *Unit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Francesco Pasqualetti *Radiation Oncology, Department of Medicine and Oncology, University of Pisa, Pisa, Italy.
Alessandra Gonnelli *Radiation Oncology, Department of Medicine and Oncology, University of Pisa, Pisa, Italy.
Martina RuglioniUnit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Giovanna Irene LuculliUnit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Martina CantarellaRadiation Oncology, Department of Medicine and Oncology, University of Pisa, Pisa, Italy.
Valerio OrtenziDivision of Pathology, Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Pisa, Italy.
Cristian ScatenaDivision of Pathology, Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Pisa, Italy.
Fabiola PaiarRadiation Oncology, Department of Medicine and Oncology, University of Pisa, Pisa, Italy.
Antonio Giuseppe NaccaratoDivision of Pathology, Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Pisa, Italy.
Romano DanesiUnit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy. romano.danesi@unimi.it.
Marzia Del ReUnit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
University of Pisa · ITUniversity of Milan · ITUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating cell-free DNA (cfDNA, liquid biopsy) is a powerful tool to detect molecular alterations. However, depending on tumor characteristics, biology and anatomic localization, cfDNA detection and analysis may be challenging. Gliomas are enclosed into an anatomic sanctuary, which obstacles the release of cfDNA into the peripheral blood. Therefore, the advantages of using liquid biopsy for brain tumors is still to be confirmed. The present study evaluates the ability of liquid biopsy to detect IDH1 mutations and its correlation with survival and clinical characteristics of glioma patients.

methodsBlood samples obtained from glioma patients were collected after surgery prior to the adjuvant therapy. cfDNA was extracted from plasma and IDH1 p.R132H mutation analysis was performed on a digital droplet PCR. χ2-test and Cohen k were used to assess the correlation between plasma and tissue IDH1 status, while Kaplan Meier curve and Cox regression analysis were applied to survival analysis. Statistical calculations were performed by MedCalc and GraphPad Prism software.

resultsA total of 67 samples were collected. A concordance between IDH1 status in tissue and in plasma was found (p = 0.0024), and the presence of the IDH1 mutation both in tissue (138.8 months vs 24.4, p < 0.0001) and cfDNA (116.3 months vs 35.8, p = 0.016) was associated with longer median OS. A significant association between IDH1 mutation both in tissue and cfDNA, age, tumor grade and OS was demonstrated by univariate Cox regression analysis. No statistically significant association between IDH1 mutation and tumor grade was found (p = 0.10).

conclusionsThe present study demonstrates that liquid biopsy may be used in brain tumors to detect IDH1 mutation which represents an important prognostic biomarker in patients with different types of gliomas, being associated to OS.

Indexed as

Brain NeoplasmsCell-Free Nucleic AcidsGliomaHumansIsocitrate DehydrogenaseMutationPolymerase Chain ReactionCell-Free Nucleic AcidsIDH1 protein, humanIsocitrate DehydrogenasecfDNAGliomaIDH1Liquid biopsy

Identifiers

PMID38172718
PMCPMC10763009
OpenAlexW4390534685

What OpenQuestion holds

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LicenceCC BY
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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.