Evidence map›Paper›PMID 35800439›Full record

ArticleFrontiers in pharmacology2022

Lysyl Oxidases Expression and Breast Cancer Progression: A Bioinformatic Analysis.

Sofia Ramos, Sandra Ferreira, Ana S Fernandes, Nuno Saraiva

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Collagen remodeling in breast cancer progression: from molecular mechanisms to diagnostic and therapeutic opportunities.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Association between dysregulated expression of CaFrontiers in bioinformatics · 2025
    Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. LOXL2 in Cancer: A Two-Decade Perspective.International journal of molecular sciences · 2023
    Review
  15. Review
  16. Article
  17. 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

4 authors.

Sofia RamosCBIOS, Universidade Lusófona's Research Center for Biosciences and Health Technologies, Lisbon, Portugal.
Sandra FerreiraCBIOS, Universidade Lusófona's Research Center for Biosciences and Health Technologies, Lisbon, Portugal.
Ana S FernandesCBIOS, Universidade Lusófona's Research Center for Biosciences and Health Technologies, Lisbon, Portugal.
Nuno SaraivaCBIOS, Universidade Lusófona's Research Center for Biosciences and Health Technologies, Lisbon, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

LOX (Lysyl oxidase) and LOX like 1-4 (LOXL1-4) are amine oxidases that catalyse the cross-linking of elastin and collagen in the extracellular matrix (ECM). This activity can facilitate cell migration and the formation of metastases. Consequently, inhibition of these enzymes and, in particular of LOXL2, has been suggested as a therapeutic strategy to prevent breast cancer metastasis. Although medicinal chemistry studies have struggled to specifically inhibit LOXL2, the importance of selectivity in this context is not clear. To explore the role of each LOX in breast cancer and consequently their potential as biomarkers or therapeutic targets, a bioinformatic-based approach was followed. The expression profile of

Indexed as

bioinformaticsbreast cancergene expressionimmune infiltrationlysyl oxidasepharmacological inhibitors

Identifiers

PMID35800439
PMCPMC9254715

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.