Evidence map›Paper›PMID 32885042›Full record

ArticleNPJ breast cancer2020

Characterization of four subtypes in morphologically normal tissue excised proximal and distal to breast cancer.

Emanuela Gadaleta, Pauline Fourgoux, Stefano Pirró, Graeme J Thorn, Rachel Nelan, Alastair Ironside, Vinothini Rajeeve, Pedro R Cutillas, Anna E Lobley, Jun Wang and 6 more

Open access · goldAbstract read
In one paragraph

Article in NPJ breast cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

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  15. Dynamic Biobanking for Advancing Breast Cancer Research.Journal of personalized medicine · 2023
    Article
  16. Field cancerization in breast cancer.The Journal of pathology · 2022
    Review
  17. Article
  18. Article
  19. 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

16 authors at 1 institution in 1 country.

Emanuela GadaletaCentre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ UK.ORCID 0000-0002-5740-6293
Pauline FourgouxCentre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ UK.
Stefano PirróCentre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ UK.
Graeme J ThornCentre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ UK.ORCID 0000-0001-7704-5360
Rachel NelanCentre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ UK.
Alastair IronsideCentre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ UK.
Vinothini RajeeveCenter for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ UK.
Pedro R CutillasCenter for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ UK.
Anna E LobleyCentre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ UK.
Jun WangCenter for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ UK.ORCID 0000-0003-2509-9599
Esteban GeaCentre for Computational Biology, Life Sciences Initiative, Queen Mary University of London, London, EC1M 6BQ UK.
Helen Ross-AdamsCentre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ UK.
Conrad BessantCentre for Computational Biology, Life Sciences Initiative, Queen Mary University of London, London, EC1M 6BQ UK.ORCID 0000-0002-7983-1020
Nicholas R LemoineBarts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ UK.
Louise J Jones *Centre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ UK.
Claude Chelala *Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ UK.ORCID 0000-0002-2488-0669
Queen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Widespread mammographic screening programs and improved self-monitoring allow for breast cancer to be detected earlier than ever before. Breast-conserving surgery is a successful treatment for select women. However, up to 40% of women develop local recurrence after surgery despite apparently tumor-free margins. This suggests that morphologically normal breast may harbor early alterations that contribute to increased risk of cancer recurrence. We conducted a comprehensive transcriptomic and proteomic analysis to characterize 57 fresh-frozen tissues from breast cancers and matched histologically normal tissues resected proximal to (<2 cm) and distant from (5-10 cm) the primary tumor, using tissues from cosmetic reduction mammoplasties as baseline. Four distinct transcriptomic subtypes are identified within matched normal tissues: metabolic; immune; matrisome/epithelial-mesenchymal transition, and non-coding enriched. Key components of the subtypes are supported by proteomic and tissue composition analyses. We find that the metabolic subtype is associated with poor prognosis (

Indexed as

Breast cancerTumour biomarkers

Identifiers

PMID32885042
PMCPMC7442642
OpenAlexW3080503847

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.