Development, Validation and Application of Advanced Biomarkers in Cerebral Tumours

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Biomarkers".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 1193

Special Issue Editor


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Guest Editor
Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
Interests: neuroradiology

Special Issue Information

Dear Colleagues,

Over the past 20 years the concept of the biomarker has become intrinsic to medical research. The identification of individual quantifiable features, related to tumour biology, tumour behaviour, prognosis and treatment response has been one of the largest areas of original research. Following the discovery of potentially novel biomarkers extensive research is needed to confirm their potential validity, validate their reproducibility and optimal methodology for measurement and to then explore and confirm their potential biological meaning. Biomarkers may be based on chemical, genetic or biological features, may be extracted from data such as liquid biopsy, genome and gene expression data, imaging data, mass spectroscopy, proteomics or metabolomics. Whatever the methodology for individual biomarkers they must be robust, reproducible and provide valuable information concerning tumour biology, behaviour, prognosis, treatment response or some other aspect of tumour behaviour.

This Special Issue invites submissions related to the discovery, validation and application of novel biomarkers for the study and clinical management of intra-cerebral tumours. The editorial team will consider applications relating to discovery of potential biomarkers, validation studies of existing biomarkers and studies providing clinical validation or evidence of application of relatively novel biomarkers.

We will also consider applications that describe novel data classification or artificial intelligence applications, which might optimise the use and application of existing biomarkers.

Prof. Dr. Alan Jackson
Guest Editor

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Published Papers (1 paper)

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Research

15 pages, 3222 KiB  
Article
An Injury-like Signature of the Extracellular Glioma Metabolome
by Yooree Ha, Karishma Rajani, Cecile Riviere-Cazaux, Masum Rahman, Ian E. Olson, Ali Gharibi Loron, Mark A. Schroeder, Moses Rodriguez, Arthur E. Warrington and Terry C. Burns
Cancers 2024, 16(15), 2705; https://doi.org/10.3390/cancers16152705 - 30 Jul 2024
Viewed by 808
Abstract
Aberrant metabolism is a hallmark of malignancies including gliomas. Intracranial microdialysis enables the longitudinal collection of extracellular metabolites within CNS tissues including gliomas and can be leveraged to evaluate changes in the CNS microenvironment over a period of days. However, delayed metabolic impacts [...] Read more.
Aberrant metabolism is a hallmark of malignancies including gliomas. Intracranial microdialysis enables the longitudinal collection of extracellular metabolites within CNS tissues including gliomas and can be leveraged to evaluate changes in the CNS microenvironment over a period of days. However, delayed metabolic impacts of CNS injury from catheter placement could represent an important covariate for interpreting the pharmacodynamic impacts of candidate therapies. Intracranial microdialysis was performed in patient-derived glioma xenografts of glioma before and 72 h after systemic treatment with either temozolomide (TMZ) or a vehicle. Microdialysate from GBM164, an IDH-mutant glioma patient-derived xenograft, revealed a distinct metabolic signature relative to the brain that recapitulated the metabolic features observed in human glioma microdialysate. Unexpectedly, catheter insertion into the brains of non-tumor-bearing animals triggered metabolic changes that were significantly enriched for the extracellular metabolome of glioma itself. TMZ administration attenuated this resemblance. The human glioma microdialysate was significantly enriched for both the PDX versus brain signature in mice and the induced metabolome of catheter placement within the murine control brain. These data illustrate the feasibility of microdialysis to identify and monitor the extracellular metabolome of diseased versus relatively normal brains while highlighting the similarity between the extracellular metabolome of human gliomas and that of CNS injury. Full article
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