Evidence map›Paper›PMID 31262686›Full record

SynthesisClinical breast cancer2019

Diagnostic Clinical Trials in Breast Cancer Brain Metastases: Barriers and Innovations.

Jawad Fares, Deepak Kanojia, Aida Rashidi, Atique U Ahmed, Irina V Balyasnikova, Maciej S Lesniak

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Clinical breast cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Tumour invasion and dissemination.Biochemical Society transactions · 2022
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Molecular principles of metastasis: a hallmark of cancer revisited.Signal transduction and targeted therapy · 2020
    Review
  15. Article
  16. Article
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

6 authors at 2 institutions in 1 country.

Jawad FaresDepartment of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Deepak KanojiaDepartment of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Aida RashidiDepartment of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Atique U AhmedDepartment of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Irina V BalyasnikovaDepartment of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Maciej S LesniakDepartment of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL. Electronic address: maciej.lesniak@northwestern.edu.
Northwestern University · USNeurological Surgery · US

Funding

STINGing GBM: A First-in- Man Clinical Trial in Surgical Resectable Recurrent GBMP50CA221747 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Pouya Jamshidi · 2018 to 2026
$21.4M
Therapeutic Targeting of Malignant Glioma Stem CellsR35CA197725 · NCI · UNIVERSITY OF CHICAGO · PI LESNIAK, MACIEJ S · 2015 to 2021
$6.2M
Cellular Plasticity and equilibrium in GBM ProgressionR01NS096376 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Atique U. Ahmed · 2017 to 2026
$3.9M
Genetic Approaches to Optimize CAR T cells for Glioblastoma TherapyR01NS106379 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BALYASNIKOVA, IRINA V, GOTTSCHALK, STEPHEN · 2018 to 2022
$2.7M
Metabolic Control of Immune Suppression in GliomasR01NS093903 · NINDS · UNIVERSITY OF CHICAGO · PI LESNIAK, MACIEJ S · 2015 to 2019
$2.3M
Intranasal Stem-Cell Based Therapy for GlioblastomaR01NS087990 · NINDS · UNIVERSITY OF CHICAGO · PI BALYASNIKOVA, IRINA V · 2014 to 2018
$2.1M
Neural Stem Cell Carriers for Glioblastoma ImmunotherapyR21NS101150 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BALYASNIKOVA, IRINA V · 2017 to 2018
$775k
NCI NIH HHS P50 CA221747NCI NIH HHS R35 CA197725NINDS NIH HHS R01 NS087990NINDS NIH HHS R01 NS093903NINDS NIH HHS R01 NS096376NINDS NIH HHS R01 NS106379NINDS NIH HHS R21 NS101150
6 · The paper itself

Abstract

Optimal treatment of breast cancer brain metastases (BCBM) is often hampered by limitations in diagnostic abilities. Developing innovative tools for BCBM diagnosis is vital for early detection and effective treatment. In this study we explored the advances in trial for the diagnosis of BCBM, with review of the literature. On May 8, 2019, we searched ClinicalTrials.gov for interventional and diagnostic clinical trials involving BCBM, without limiting for date or location. Information on trial characteristics, experimental interventions, results, and publications were collected and analyzed. In addition, a systematic review of the literature was conducted to explore published studies related to BCBM diagnosis. Only 9 diagnostic trials explored BCBM. Of these, 1 trial was withdrawn because of low accrual numbers. Three trials were completed; however, none had published results. Modalities in trial for BCBM diagnosis entailed magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), PET-CT, nanobodies, and circulating tumor cells (CTCs), along with a collection of novel tracers and imaging biomarkers. MRI continues to be the diagnostic modality of choice, whereas CT is best suited for acute settings. Advances in PET and PET-CT allow the collection of metabolic and functional information related to BCBM. CTC characterization can help reflect on the molecular foundations of BCBM, whereas cell-free DNA offers new genetic material for further exploration in trials. The integration of machine learning in BCBM diagnosis seems inevitable as we continue to aim for rapid and accurate detection and better patient outcomes.

Indexed as

Brain NeoplasmsBreast NeoplasmsClinical Trials as TopicFemaleHumansMagnetic Resonance ImagingNeoplastic Cells, CirculatingPositron Emission Tomography Computed TomographyPrognosisArtificial intelligenceCirculating tumor cellsMagnetic resonance imagingNanobodyPositron emission tomography

Identifiers

PMID31262686
PMCPMC6888931
OpenAlexW2948648662

What OpenQuestion holds

Textmetadata
LicenceTDM
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.