Evidence map›Paper›PMID 27034161›Full record

ArticleOncotarget2016

Genetic and epigenetic factors affect RET gene expression in breast cancer cell lines and influence survival in patients.

Paola Griseri, Ornella Garrone, Alessandra Lo Sardo, Martino Monteverde, Marta Rusmini, Federica Tonissi, Marco Merlano, Paolo Bruzzi, Cristiana Lo Nigro, Isabella Ceccherini

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. 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
3.5field-weighted citation impact, top 8% 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, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. HigherBiomolecules · 2021
    Article
  8. Review
  9. Article
  10. State-of-the-Art Strategies for TargetingJournal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020
    Review
  11. Article
  12. Ret Receptor Has Distinct Alterations and Functions in Breast Cancer.Journal of mammary gland biology and neoplasia · 2020
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Kinases and Cancer.Cancers · 2018
    Article
  18. The molecular basis for RET tyrosine-kinase inhibitors in thyroid cancer.Best practice & research. Clinical endocrinology & metabolism · 2017
    Review
  19. DNA methylation in spermatogenesis and male infertility.Experimental and therapeutic medicine · 2016
    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

10 authors at 3 institutions in 1 country.

Paola GriseriUOC Medical Genetics, IRCCS Giannina Gaslini Institute, Genoa, Italy.
Ornella GarroneUnit of Medical Oncology, Department of Oncology, S. Croce & Carle Teaching Hospital, Cuneo, Italy.
Alessandra Lo SardoUOC Medical Genetics, IRCCS Giannina Gaslini Institute, Genoa, Italy.
Martino MonteverdeLaboratory of Cancer Genetics and Translational Oncology, Department of Oncology, S. Croce & Carle Teaching Hospital, Cuneo, Italy.
Marta RusminiUOC Medical Genetics, IRCCS Giannina Gaslini Institute, Genoa, Italy.
Federica TonissiLaboratory of Cancer Genetics and Translational Oncology, Department of Oncology, S. Croce & Carle Teaching Hospital, Cuneo, Italy.
Marco MerlanoUnit of Medical Oncology, Department of Oncology, S. Croce & Carle Teaching Hospital, Cuneo, Italy.
Paolo BruzziClinical Epidemiology, IRCCS AUO San Martino IST, Genoa, Italy.
Cristiana Lo NigroLaboratory of Cancer Genetics and Translational Oncology, Department of Oncology, S. Croce & Carle Teaching Hospital, Cuneo, Italy.
Isabella CeccheriniUOC Medical Genetics, IRCCS Giannina Gaslini Institute, Genoa, Italy.
Istituto Giannina Gaslini · ITAzienda Sanitaria Ospedaliera S.Croce e Carle Cuneo · ITOspedale Policlinico San Martino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Germline and somatic mutations play a crucial role in breast cancer (BC), driving the initiation, progression, response to therapy and outcome of the disease. Hormonal therapy is limited to patients with tumors expressing steroid hormone receptors, such as estrogen receptor (ER), nevertheless resistance often limits its success.The RET gene is known to be involved in neurocristopathies such as Hirschsprung disease and Multiple Endocrine Neoplasia type 2, in the presence of loss-of-function and gain-of-function mutations, respectively. More recently, RET over-expression has emerged as a new player in ER-positive (ER+) BC, and as a potential target to enhance sensitivity and avoid resistance to tamoxifen therapy.Therefore, targeting the RET pathway may lead to new therapies in ER+ BC. To this end, we have investigated the molecular mechanisms which underlie RET overexpression and its possible modulation in two BC cell lines, MCF7 and T47D, showing different RET expression levels. Moreover, we have carried out a pilot association study in 93 ER+ BC patients. Consistent with the adverse role of RET over-expression in BC, increased overall survival was observed in carriers of the variant allele of SNP rs2435357, a RET polymorphism already known to be associated with reduced RET expression.

Indexed as

Epigenesis, GeneticAgedAged, 80 and overBreast NeoplasmsCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMiddle AgedPilot ProjectsPolymorphism, Single NucleotideProportional Hazards ModelsProto-Oncogene Proteins c-retProto-Oncogene Proteins c-retRET protein, humanbreast cancergene expressionresistance to hormonal therapyRET genesingle nucleotide polymorphism

Identifiers

PMID27034161
PMCPMC5041993
OpenAlexW2323591489

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.