Evidence map›Paper›PMID 35225863›Full record

ReviewDiseases (Basel, Switzerland)2022

Emerging Biomarkers for Diagnosis, Prevention and Treatment of Brain Metastases-From Biology to Clinical Utility.

Priyakshi Kalita-de Croft, Vaibhavi Joshi, Jodi M Saunus, Sunil R Lakhani

Abstract readReview
In one paragraph

Review in Diseases (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

4 authors.

Priyakshi Kalita-de CroftUQ Centre for Clinical Research, The University of Queensland Faculty of Medicine, Herston, QLD 4029, Australia.ORCID 0000-0001-8877-7655
Vaibhavi JoshiUQ Centre for Clinical Research, The University of Queensland Faculty of Medicine, Herston, QLD 4029, Australia.ORCID 0000-0002-1309-1664
Jodi M SaunusUQ Centre for Clinical Research, The University of Queensland Faculty of Medicine, Herston, QLD 4029, Australia.ORCID 0000-0002-4604-4709
Sunil R LakhaniUQ Centre for Clinical Research, The University of Queensland Faculty of Medicine, Herston, QLD 4029, Australia.ORCID 0000-0003-4067-2760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary malignancies of the lung, skin (melanoma), and breast have higher propensity for metastatic spread to the brain. Advances in molecular tumour profiling have aided the development of targeted therapies, stereotactic radiotherapy, and immunotherapy, which have led to some improvement in patient outcomes; however, the overall prognosis remains poor. Continued research to identify new prognostic and predictive biomarkers is necessary to further impact patient outcomes, as this will enable better risk stratification at the point of primary cancer diagnosis, earlier detection of metastatic deposits (for example, through surveillance), and more effective systemic treatments. Brain metastases exhibit considerable inter- and intratumoural heterogeneity-apart from distinct histology, treatment history and other clinical factors, the metastatic brain tumour microenvironment is incredibly variable both in terms of subclonal diversity and cellular composition. This review discusses emerging biomarkers; specifically, the biological context and potential clinical utility of tumour tissue biomarkers, circulating tumour cells, extracellular vesicles, and circulating tumour DNA.

Indexed as

brain metastasiscirculating tumour cellsdiagnosticextracellular vesiclesliquid biopsypredictiveprognostic

Identifiers

PMID35225863
PMCPMC8884016

What OpenQuestion holds

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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.