Evidence map›Paper›PMID 22349934›Full record

ReviewCancer metastasis reviews2012

Biological influence of Hakai in cancer: a 10-year review.

Luis A Aparicio, Manuel Valladares, Moisés Blanco, Guillermo Alonso, Angélica Figueroa

Open access · hybridAbstract readReview
In one paragraph

Review in Cancer metastasis reviews, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

28 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
  2. An mNature communications · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. The roles of E3 ligases in Hepatocellular carcinoma.American journal of cancer research · 2022
    Review
  8. Review
  9. Article
  10. Review
  11. Role of Hakai in mNature communications · 2021
    Article
  12. Review
  13. Article
  14. An oncopeptide regulates mNature communications · 2020
    Article
  15. Article
  16. Article
  17. Review
  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

5 authors at 2 institutions in 1 country.

Luis A AparicioServizo de Oncología Médica, Complejo Hospitalario Universitario A Coruña, A Coruña, Spain.
Manuel Valladares
Moisés Blanco
Guillermo Alonso
Angélica Figueroa
Instituto de Investigación Biomédica de A Coruña · ESComplexo Hospitalario Universitario A Coruña · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to metastasize, cancer cells must first detach from the primary tumor, migrate, invade through tissues, and attach to a second site. Hakai was discovered as an E3 ubiquitin-ligase that mediates the posttranslational downregulation of E-cadherin, a major component of adherens junctions in epithelial cells that is characterized as a potent tumor suppressor and is modulated during various processes including epithelial-mesenchymal transition. Recent data have provided evidences for novel biological functional role of Hakai during tumor progression and other diseases. Here, we will review the knowledge that has been accumulated since Hakai discovery 10 years ago and its implication in human cancer disease. We will highlight the different signaling pathways leading to the influence on Hakai and suggest its potential usefulness as therapeutic target for cancer.

Indexed as

AnimalsAntineoplastic AgentsCadherinsCell AdhesionHumansIntercellular JunctionsMolecular Targeted TherapyNeoplasmsSignal TransductionUbiquitin-Protein LigasesAntineoplastic AgentsCadherinsCBLL1 protein, humanUbiquitin-Protein Ligases

Identifiers

PMID22349934
PMCPMC3350634
OpenAlexW2050182398

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.