Evidence map›Paper›PMID 31780784›Full record

ReviewNature reviews. Cancer2020

Brain metastasis.

Adrienne Boire, Priscilla K Brastianos, Livia Garzia, Manuel Valiente

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 289 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
289citing papers in PubMed, 3 pooled it
–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

289 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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229 more citing papers are in PubMed but not listed here.

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.

Adrienne BoireMemorial Sloan Kettering Cancer Center, New York, NY, USA. boirea@mskcc.org.ORCID http://orcid.org/0000-0002-9029-1248
Priscilla K BrastianosMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA. PBRASTIANOS@mgh.harvard.edu.
Livia GarziaResearch Institute of the McGill University Health Centre, Montreal, Québec, Canada. livia.garzia@mcgill.ca.
Manuel ValienteNational Cancer Research Center, Madrid, Spain. mvaliente@cnio.es.ORCID http://orcid.org/0000-0002-0647-7542

Funding

CIHR PJT-162234
6 · The paper itself

Abstract

Brain metastasis, which commonly arises in patients with lung cancer, breast cancer and melanoma, is associated with poor survival outcomes and poses distinct clinical challenges. The brain microenvironment, with its unique cell types, anatomical structures, metabolic constraints and immune environment, differs drastically from microenvironments of extracranial lesions, imposing a distinct and profound selective pressure on tumour cells that, in turn, shapes the metastatic process and therapeutic responses. Accordingly, the study of brain metastasis could uncover new therapeutic targets and identify novel treatment approaches to address the unmet clinical need. Moreover, such efforts could provide insight into the biology of primary brain tumours, which face similar challenges to brain metastases of extracranial origin, and vice versa. However, the paucity of robust preclinical models of brain metastasis has severely limited such investigations, underscoring the importance of developing improved experimental models that holistically encompass the metastatic cascade and/or brain microenvironment. In this Viewpoint, we asked four leading experts to provide their opinions on these important aspects of brain metastasis biology and management.

Indexed as

AnimalsBrain NeoplasmsCombined Modality TherapyDisease ManagementDisease Models, AnimalDisease SusceptibilityHumansQuality Indicators, Health CareTreatment OutcomeTumor Microenvironment

Identifiers

PMID31780784

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.