ReviewNeuro-oncology advances
Emerging blood-based biomarkers for the detection of parenchymal brain metastasis: Current progress and future perspectives.
Review in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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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.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Parenchymal brain metastases of solid malignancies remain a significant clinical challenge, as they are often detected at later symptomatic stages, which are typically associated with worse prognosis. Delayed detection limits treatment options and contributes to poor outcomes, while early detection is critical for improving patient outcomes and quality of life. In this comprehensive review, we investigated the potential use and challenges of blood-based biomarkers, including circulating tumor cells, cell-free DNA, noncoding RNAs, extracellular vesicles, proteins, and other immune-related biomarkers, for the early detection of parenchymal brain metastasis. The use of blood-based liquid biopsies offers a promising avenue for early detection and monitoring of brain metastases, potentially enabling timely intervention and tailored treatment regimes. Continued research and rigorous clinical validation are essential to fully harness the potential of blood-based biomarkers, which could transform clinical practice in oncology.
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Registered trials
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.