Evidence map›Paper›PMID 36836597›Full record

ArticleJournal of personalized medicine2023

Dynamic Biobanking for Advancing Breast Cancer Research.

Maryam Abdollahyan, Emanuela Gadaleta, Millahat Asif, Jorge Oscanoa, Rachel Barrow-McGee, Samantha Jones, Louise J Jones, Claude Chelala

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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

8 authors.

Maryam AbdollahyanCentre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK.
Emanuela GadaletaCentre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK.ORCID 0000-0002-5740-6293
Millahat AsifCentre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK.
Jorge OscanoaCentre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK.
Rachel Barrow-McGeeCentre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK.
Samantha JonesCentre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK.
Louise J JonesCentre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK.
Claude ChelalaCentre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK.

Funding

Barts Charity MGU0344Breast Cancer Now TB2022BAR
6 · The paper itself

Abstract

Longitudinal patient biospecimens and data advance breast cancer research through enabling precision medicine approaches for identifying risk, early diagnosis, improved disease management and targeted therapy. Cancer biobanks must evolve to provide not only access to high-quality annotated biospecimens and rich associated data, but also the tools required to harness these data. We present the Breast Cancer Now Tissue Bank centre at the Barts Cancer Institute as an exemplar of a dynamic biobanking ecosystem that hosts and links longitudinal biospecimens and multimodal data including electronic health records, genomic and imaging data, offered alongside integrated data sharing and analytics tools. We demonstrate how such an ecosystem can inform precision medicine efforts in breast cancer research.

Indexed as

bioinformaticsbreast cancerelectronic health recordsgenomicshealth informaticsprecision medicinetranslational research

Identifiers

PMID36836597
PMCPMC9959444

What OpenQuestion holds

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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.