Clinical utility of liquid biopsy in distinguishing true progression from radiation necrosis and pseudoprogression in malignant brain tumor.
Clinical Snapshot
PICO Framework
| P — Population | Patients with malignant brain tumors following radiotherapy or radiosurgery |
| I — Intervention | Liquid biopsy-based biomarkers |
| C — Comparator | Conventional imaging (MRI, PET) and histopathological confirmation |
| O — Outcomes | Diagnostic accuracy in differentiating true tumor progression from pseudoprogression and radiation necrosis |
Bottom Line
This systematic review identifies liquid biopsy as a promising non-invasive approach for distinguishing tumor progression from treatment-related changes in brain cancer patients. Multiple biomarkers including immune cell markers, circulating tumor cells, and cell-free DNA showed statistical significance in small studies. However, the evidence remains insufficient for clinical implementation due to methodological heterogeneity, small sample sizes, and lack of standardized diagnostic criteria. Composite biomarker indices show particular promise but require validation in larger prospective cohorts. While the clinical need is clear given limitations of conventional imaging, clinicians should await results of larger validation studies before incorporating liquid biopsy into routine practice for this indication.
Key Findings
P Value: Multiple biomarkers showed statistical significance (specific values not provided)
Effect Size: Not reported - no pooled analysis performed
Primary Outcome: Diagnostic differentiation between tumor progression, pseudoprogression, and radiation necrosis
Nnt Or Sensitivity: Composite indices (DR-VNN2 index, Necrosis Prediction Index) showed potential for improved diagnostic differentiation
Confidence Interval: Not reported
Clinical Application
Limited by lack of standardized protocols and validation studies Relevant to Australian neuro-oncology practice but requires TGA-approved assays and PBS consideration for cost-effectiveness before implementation Patients with malignant brain tumors post-radiotherapy requiring differentiation of treatment effects from progression
Abstract
BACKGROUND: Distinguishing true tumor progression from pseudoprogression (PsP) and radiation necrosis (RN) following radiotherapy or radiosurgery for intracranial tumors remains a significant clinical challenge. Conventional imaging modalities, including MRI and PET, often lack sufficient diagnostic accuracy, while histopathological confirmation, although definitive, is invasive and not always feasible. Liquid biopsy (LB) has emerged as a promising noninvasive diagnostic approach. METHODS: A systematic review was conducted across PubMed, Embase, Scopus, and Cochrane databases. A total of 964 records were identified, including PubMed (n = 322), Embase (n = 280), Scopus (n = 297), and Cochrane (n = 65), along with three clinical trials identified from trial registers. After removal of 157 duplicates using Covidence, 807 studies were screened by title and abstract. Of these, 749 were excluded, and 58 articles underwent full-text review. Ultimately, 11 studies met the inclusion criteria and were included in the analysis. RESULTS: A diverse range of LB-based biomarkers has been investigated, including immune cell-based markers (e.g., HLA-DRneg/low and VNN2+ CD14+ monocytic myeloid-derived suppressor cells), immune-related proteins (e.g., CXCL11 and MUC-16), circulating tumor cells, cell-free DNA, mitochondrial DNA, B1-SINE elements, microvesicles, and RNA analytes. Plasma was the most used biofluid, with limited evaluation of urine and cerebrospinal fluid. Analytical techniques varied widely, including flow cytometry, PCR-based assays, immunostaining-FISH, and multiplex protein platforms. Several biomarkers showed statistically significant differences among RN, PsP, and tumor recurrence; however, these findings were largely derived from small, heterogeneous cohorts with inconsistent reporting of diagnostic performance metrics. Composite indices, such as the DR-VNN2 index (DVI) and the Necrosis Prediction Index (NPI), showed potential for improving diagnostic differentiation. CONCLUSIONS: LB-based biomarkers show promise for differentiating RN and PsP from tumor recurrence; however, current evidence is limited by small sample sizes, methodological heterogeneity, and lack of standardized diagnostic criteria. Larger prospective studies and validation of composite biomarker models are required to establish their clinical utility. CLINICAL TRIAL NUMBER: Not Applicable.
References
- 1.Izhar, M., Hori, Y. S., Lam, F. C., Kalra, N., Zagzoog, N., Tayag, A., Ustrzynski, L., Emrich, S. C., Park, D. J., & Chang, S. D. (2026). Clinical utility of liquid biopsy in distinguishing true progression from radiation necrosis and pseudoprogression in malignant brain tumor. Journal of Neuro-Oncology. https://doi.org/10.1038/s41416-023-02423-7
Related Research
Neurosurgical review
Development and external validation of a machine learning model for predicting postoperative hydrocephalus in 1,073 posterior fossa tumor patients
31 July 2026
Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
Patient experiences of tissue donation and digital consent support in primary craniospinal tumour research.
19 July 2026
NeuroImage
Rapid multi-parametric quantitative MRI via deep learning-based synthetic-to-real reconstruction and 3D SSFP-MOLED imaging
17 July 2026
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service