Evidence map›Paper›PMID 24512221›Full record

ArticleAntioxidants & redox signaling2015

Receptor-Independent Ectopic Activity of Prolactin Predicts Aggressive Lung Tumors and Indicates HDACi-Based Therapeutic Strategies.

Aurore Le Bescont, Anne-Laure Vitte, Alexandra Debernardi, Sandrine Curtet, Thierry Buchou, Jessica Vayr, Aurélien de Reyniès, Akihiro Ito, Philippe Guardiola, Christian Brambilla and 4 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Antioxidants & redox signaling, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03436069 (Identification de Nouveaux Marqueurs Pronostiques Des Cancers du Sein), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 31% 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.

NCT03436069 recruitingnot on this map

Identification de Nouveaux Marqueurs Pronostiques Des Cancers du Sein

TypeobservationalSponsorUniversity Hospital, GrenobleRan2011 to 2033Enrolled1,500ConditionsBreast CancerArmsConventional treatment protocols of breast cancer
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Current Insights in Prolactin Signaling and Ovulatory Function.International journal of molecular sciences · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. 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

14 authors at 3 institutions in 3 countries.

Aurore Le Bescont1 INSERM U823, Université Joseph Fourier-Grenoble 1 , Institut Albert Bonniot, Grenoble, France .
Anne-Laure Vitte1 INSERM U823, Université Joseph Fourier-Grenoble 1 , Institut Albert Bonniot, Grenoble, France .
Alexandra Debernardi1 INSERM U823, Université Joseph Fourier-Grenoble 1 , Institut Albert Bonniot, Grenoble, France .
Sandrine Curtet1 INSERM U823, Université Joseph Fourier-Grenoble 1 , Institut Albert Bonniot, Grenoble, France .
Thierry Buchou1 INSERM U823, Université Joseph Fourier-Grenoble 1 , Institut Albert Bonniot, Grenoble, France .
Jessica Vayr1 INSERM U823, Université Joseph Fourier-Grenoble 1 , Institut Albert Bonniot, Grenoble, France .
Aurélien de Reyniès2 Cartes d'Identité des Tumeurs Program, Ligue Nationale Contre le Cancer , Paris, France .
Akihiro Ito3 Chemical Genetics Laboratory , RIKEN, Wako, Japan .
Philippe Guardiola4 INSERM U892, Centre de Recherche sur le Cancer Nantes Angers and UMR_S 892, Université d'Angers , Plateforme SNP, Transcriptome & Epigénomique, Centre Hospitalier Universitaire d'Angers, Angers, France .
Christian Brambilla1 INSERM U823, Université Joseph Fourier-Grenoble 1 , Institut Albert Bonniot, Grenoble, France .
Minoru Yoshida3 Chemical Genetics Laboratory , RIKEN, Wako, Japan .
Elisabeth Brambilla1 INSERM U823, Université Joseph Fourier-Grenoble 1 , Institut Albert Bonniot, Grenoble, France .
Sophie Rousseaux1 INSERM U823, Université Joseph Fourier-Grenoble 1 , Institut Albert Bonniot, Grenoble, France .
Saadi Khochbin1 INSERM U823, Université Joseph Fourier-Grenoble 1 , Institut Albert Bonniot, Grenoble, France .
Inserm · FRLaboratory of Molecular Genetics · PLLa Ligue Contre le Cancer · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsEctopic activation of tissue-specific genes accompanies malignant transformation in many cancers. Prolactin (PRL) aberrant activation in lung cancer was investigated here to highlight its value as a biomarker.

resultsPRL is ectopically activated in a subset of very aggressive lung tumors, associated with a rapid fatal outcome, in our cohort of 293 lung tumor patients and in an external independent series of patients. Surprisingly PRL receptor expression was not detected in the vast majority of PRL-expressing lung tumors. Additionally, the analysis of the PRL transcripts in lung tumors and cell lines revealed systematic truncations of their 5' regions, including the signal peptide-encoding portions. PRL expression was found to sustain cancer-specific gene expression circuits encompassing genes that are normally responsive to hypoxia. Interestingly, this analysis also indicated that histone deacetylase (HDAC) inhibitors could counteract the PRL-associated transcriptional activity. INNOVATION AND

conclusionAltogether, this work not only unravels a yet unknown oncogenic mechanism but also indicates that the specific category of PRL-expressing aggressive lung cancers could be particularly responsive to an HDAC inhibitor-based treatment.

Indexed as

AdultBiomarkers, TumorCarcinoma, Non-Small-Cell LungCell Line, TumorCohort StudiesFemaleHistone Deacetylase InhibitorsHumansLung NeoplasmsMaleMiddle AgedPregnancyPrognosisProlactinReceptors, ProlactinRNA, MessengerBiomarkers, TumorHistone Deacetylase InhibitorsProlactinReceptors, ProlactinRNA, Messenger

Identifiers

PMID24512221
PMCPMC4492736
OpenAlexW1849348355

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Registered trials

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.