Evidence map›Paper›PMID 39001407›Full record

ArticleCancers2024

Liquid Biopsy in Whole Blood for Identification of Gene Expression Patterns (mRNA and miRNA) Associated with Recurrence of Glioblastoma WHO CNS Grade 4.

Razan Muhtadi, Denise Bernhardt, Gabriele Multhoff, Lisa Hönikl, Stephanie E Combs, Sandro M Krieg, Jens Gempt, Bernhard Meyer, Vahé Barsegian, Monika Lindemann and 6 more

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

16 authors.

Razan MuhtadiBundeswehr Institute of Radiobiology, 80937 Munich, Germany.
Denise BernhardtDepartment of Radiation Oncology, TUM School of Medicine and Health, Technical University of Munich (TUM), 81675 Munich, Germany.ORCID 0000-0001-5231-9097
Gabriele MulthoffDepartment of Radiation Oncology, TUM School of Medicine and Health, Technical University of Munich (TUM), 81675 Munich, Germany.ORCID 0000-0002-2616-3137
Lisa HöniklDepartment of Neurosurgery, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich (TUM), 81675 Munich, Germany.
Stephanie E CombsDepartment of Radiation Oncology, TUM School of Medicine and Health, Technical University of Munich (TUM), 81675 Munich, Germany.
Sandro M KriegDepartment of Neurosurgery, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich (TUM), 81675 Munich, Germany.ORCID 0000-0003-4050-1531
Jens GemptDepartment of Neurosurgery, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich (TUM), 81675 Munich, Germany.ORCID 0000-0003-4123-4690
Bernhard MeyerDepartment of Neurosurgery, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich (TUM), 81675 Munich, Germany.ORCID 0000-0001-6486-7955
Vahé BarsegianInstitute of Nuclear Medicine, Helios Kliniken, 19055 Schwerin, Germany.
Monika LindemannInstitute for Transfusion Medicine, University Hospital Essen, 45147 Essen, Germany.ORCID 0000-0001-6708-4390
Mandy KasperBundeswehr Institute of Radiobiology, 80937 Munich, Germany.
Samantha StewartBundeswehr Institute of Radiobiology, 80937 Munich, Germany.
Matthias PortBundeswehr Institute of Radiobiology, 80937 Munich, Germany.ORCID 0000-0002-8496-5883
Michael AbendBundeswehr Institute of Radiobiology, 80937 Munich, Germany.
Christian D DiehlDepartment of Radiation Oncology, TUM School of Medicine and Health, Technical University of Munich (TUM), 81675 Munich, Germany.
Patrick OstheimBundeswehr Institute of Radiobiology, 80937 Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GBM WHO CNS Grade 4 represents a major challenge for oncology due to its aggressive behavior. Conventional imaging has restrictions in detecting tumor recurrence. This prospective study aims to identify gene-based biomarkers in whole blood instead of isolating exosomes for the early detection of tumor recurrence. Blood samples (n = 33) were collected from seven GBM patients at time points before and after surgery as well as upon tumor recurrence. Four tumor tissue samples were assessed in parallel. Next-generation sequencing (NGS), including mRNA-seq and small RNA-seq, was used to analyze gene expression profiles in blood samples and tumor tissues. A novel filtering pipeline was invented to narrow down potential candidate genes. In total, between 6-93 mRNA and 1-19 small RNA candidates could be identified among the seven patients. The overlap of genes between the patients was minimal, indicating significant inter-individual variance among GBM patients. In summary, this prospective study supports the applicability of gene expression measurements in whole blood for the detection of tumor recurrence. It might provide an alternative to the challenging workflow of liquid biopsy after laborious exosome isolation from whole blood.

Indexed as

gene expressionglioblastoma WHO CNS Grade 4liquid biopsymiRNAmRNAwhole-genome screening

Identifiers

PMID39001407
PMCPMC11240769

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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.