Evidence map›Paper›PMID 29330624›Full record

ArticleBreast cancer research and treatment2018

Functional transcriptomic annotation and protein-protein interaction network analysis identify NEK2, BIRC5, and TOP2A as potential targets in obese patients with luminal A breast cancer.

Miriam Nuncia-Cantarero, Sandra Martinez-Canales, Fernando Andrés-Pretel, Gabriel Santpere, Alberto Ocaña, Eva Maria Galan-Moya

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Overexpression ofEuropean journal of breast health · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Network Pharmacology Analysis, Molecular Docking, andEvidence-based complementary and alternative medicine : eCAM · 2022
    Article
  10. Article
  11. Review
  12. Article
  13. Article
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  15. Article
  16. Article
  17. Article
  18. Checking NEKs: Overcoming a Bottleneck in Human Diseases.Molecules (Basel, Switzerland) · 2020
    Review
  19. High expression ofTranslational cancer research · 2020
    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

6 authors at 3 institutions in 2 countries.

Miriam Nuncia-CantareroTranslational Oncology Laboratory, Centro Regional de Investigaciones Biomédicas (CRIB), Universidad de Castilla La Mancha (UCLM), C/Almansa 14, 02008, Albacete, Spain.ORCID http://orcid.org/0000-0002-7501-1631
Sandra Martinez-CanalesTranslational Research Unit, University Hospital, Albacete, Spain.
Fernando Andrés-PretelTranslational Research Unit, University Hospital, Albacete, Spain.
Gabriel SantpereDepartment of Neuroscience, Yale School of Medicine, New Haven, CT, USA.
Alberto OcañaTranslational Research Unit, University Hospital, Albacete, Spain.ORCID http://orcid.org/0000-0002-1067-9630
Eva Maria Galan-MoyaTranslational Oncology Laboratory, Centro Regional de Investigaciones Biomédicas (CRIB), Universidad de Castilla La Mancha (UCLM), C/Almansa 14, 02008, Albacete, Spain. EvaMaria.Galan@uclm.es.ORCID http://orcid.org/0000-0001-5758-7592
Hospital General Universitario de Albacete · ESUniversity of Castilla-La Mancha · ESYale University · US

Funding

Excma. Diputación Albacete DIPUAB17GALANMOYAInstituto de Salud Carlos III PI16/01121Universidad de Castilla-La Mancha POSTUCLM15-7
6 · The paper itself

Abstract

purposeAlthough obesity is a risk factor for breast cancer, little effort has been made in the identification of druggable molecular alterations in obese-breast cancer patients. Tumors are controlled by their surrounding microenvironment, in which the adipose tissue is a main component. In this work, we intended to describe molecular alterations at a transcriptomic and protein-protein interaction (PPI) level between obese and non-obese patients. METHODS AND

resultsGene expression data of 269 primary breast tumors were compared between normal-weight (BMI < 25, n = 130) and obese (IMC > 30, n = 139) patients. No significant differences were found for the global breast cancer population. However, within the luminal A subtype, upregulation of 81 genes was observed in the obese group (FC ≥ 1.4). Next, we explored the association of these genes with patient outcome, observing that 39 were linked with detrimental outcome. Their PPI map formed highly compact cluster and functional annotation analyses showed that cell cycle, cell proliferation, cell differentiation, and cellular response to extracellular stimuli were the more altered functions. Combined analyses of genes within the described functions are correlated with poor outcome. PPI network analyses for each function were to search for druggable opportunities. We identified 16 potentially druggable candidates. Among them, NEK2, BIRC5, and TOP2A were also found to be amplified in breast cancer, suggesting that they could act as strategic players in the obese-deregulated transcriptome.

conclusionIn summary, our in silico analysis describes molecular alterations of luminal A tumors and proposes a druggable PPI network in obese patients with potential for translation to the clinical practice.

Indexed as

Body Mass IndexBreast NeoplasmsDNA Topoisomerases, Type IIEthnicityFemaleGene Expression Regulation, NeoplasticHumansNeoplasm StagingNIMA-Related KinasesObesityOligonucleotide Array Sequence AnalysisPoly-ADP-Ribose Binding ProteinsProgression-Free SurvivalProtein Interaction MapsSurvivinTranscriptomeBIRC5 protein, humanDNA Topoisomerases, Type IINEK2 protein, humanNIMA-Related KinasesPoly-ADP-Ribose Binding ProteinsSurvivinTOP2A protein, humanBreast cancerClinical outcomeNovel druggable targetsProtein–protein interactionTargeted therapyTranscriptomic analysis

Identifiers

PMID29330624
PMCPMC5842257
OpenAlexW2783690443

What OpenQuestion holds

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LicenceCC BY
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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.