Evidence map›Paper›PMID 31114020›Full record

ArticleBritish journal of cancer2019

A key genomic subtype associated with lymphovascular invasion in invasive breast cancer.

Sasagu Kurozumi, Chitra Joseph, Sultan Sonbul, Sami Alsaeed, Yousif Kariri, Abrar Aljohani, Sara Raafat, Mansour Alsaleem, Angela Ogden, Simon J Johnston and 11 more

Abstract read
In one paragraph

Article in British journal of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Genomic spectra of lymphovascular invasion in breast cancer.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. The expression of high mobility group protein 3 (American journal of cancer research · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

21 authors.

Sasagu KurozumiNottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Chitra JosephNottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.ORCID http://orcid.org/0000-0003-2631-9266
Sultan SonbulNottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Sami AlsaeedNottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Yousif KaririNottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Abrar AljohaniNottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Sara RaafatNottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Mansour AlsaleemNottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Angela OgdenNottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Simon J JohnstonNottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Mohammed A AleskandaranyNottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Takaaki FujiiDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Gunma, Japan.
Ken ShirabeDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Gunma, Japan.
Carlos CaldasCancer Research UK Cambridge Institute and Department of Oncology, University of Cambridge, Cambridge, UK.
Ibraheem AshankytyFaculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Leslie DaltonDepartment of Histopathology, St. David's South Austin Medical Center, Austin, TX, USA.
Ian O EllisNottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Christine DesmedtLaboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium.
Andrew R GreenNottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Nigel P MonganBiology and Translational Research, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.
Emad A RakhaNottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK. Emad.Rakha@nottingham.ac.uk.

Funding

Cancer Research UK 16942
6 · The paper itself

Abstract

backgroundLymphovascular invasion (LVI) is associated with the development of metastasis in invasive breast cancer (BC). However, the complex molecular mechanisms of LVI, which overlap with other oncogenic pathways, remain unclear. This study, using available large transcriptomic datasets, aims to identify genes associated with LVI in early-stage BC patients.

methodsGene expression data from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) cohort (n = 1565) was used as a discovery dataset, and The Cancer Genome Atlas (TCGA; n = 854) cohort was used as a validation dataset. Key genes were identified on the basis of differential mRNA expression with respect to LVI status as characterised by histological review. The relationships among LVI-associated genomic subtype, clinicopathological features and patient outcomes were explored.

resultsA 99-gene set was identified that demonstrated significantly different expression between LVI-positive and LVI-negative cases. Clustering analysis with this gene set further divided cases into two molecular subtypes (subtypes 1 and 2), which were significantly associated with pathology-determined LVI status in both cohorts. The 10-year overall survival of subtype 2 was significantly worse than that of subtype 1.

conclusionThis study demonstrates that LVI in BC is associated with a specific transcriptomic profile with potential prognostic value.

Indexed as

Breast NeoplasmsCluster AnalysisCohort StudiesFemaleHumansLymphatic MetastasisNeoplasm InvasivenessNeoplasm StagingPrognosisTranscriptome

Identifiers

PMID31114020
PMCPMC6738092

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.