Evidence map›Paper›PMID 24492180›Full record

ReviewNature reviews. Endocrinology2014

The 'omics' of adrenocortical tumours for personalized medicine.

Guillaume Assié, Anne Jouinot, Jérôme Bertherat

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Hereditary Endocrine Tumor Registries.Journal of the Endocrine Society · 2023
    Article
  5. Review
  6. Engineering Precision Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019
    Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Adrenocortical carcinoma (ACC): diagnosis, prognosis, and treatment.Frontiers in cell and developmental biology · 2015
    Review
  13. Review
  14. Article
  15. Emerging therapy for adrenocortical carcinoma.International journal of endocrine oncology
    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

3 authors.

Guillaume Assié1] Department of Endocrinology, Referral Centre for Rare Adrenal Diseases, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Cochin, 27 rue du Fg-St-Jacques, 75014 Paris, France. [2] INSERM U1016, CNRS UMR 8104, Paris Descartes University, Institut Cochin, 75014 Paris, France.
Anne JouinotINSERM U1016, CNRS UMR 8104, Paris Descartes University, Institut Cochin, 75014 Paris, France.
Jérôme Bertherat1] Department of Endocrinology, Referral Centre for Rare Adrenal Diseases, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Cochin, 27 rue du Fg-St-Jacques, 75014 Paris, France. [2] INSERM U1016, CNRS UMR 8104, Paris Descartes University, Institut Cochin, 75014 Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pan-genomic analyses of genetic and epigenetic alterations and gene expression profiles are providing important new insights into the pathogenesis and molecular classification of cancers. The technologies and methods used for these studies are rapidly diversifying and improving. The use of such methodologies for the analysis of adrenocortical tumours has revealed clear transcriptomic (mRNA and microRNA expression profiles), epigenomic (DNA methylation profiles) and genomic (DNA mutations and chromosomal alterations) differences between benign and malignant tumours. Interestingly, genomic studies of adrenal cancers have also identified subtypes of malignant tumours, which demonstrate distinct patterns of molecular alterations and are associated with different clinical outcomes. These discoveries have created the opportunity for classifying adrenocortical tumours on the basis of molecular analyses. Following these genomic studies, efforts to develop new molecular tools that improve diagnosis and prognostication of patients with adrenocortical tumours have also been made. This Review describes the progress that has been made towards classification of adrenocortical tumours to date based on key genomic approaches. In addition, the potential for the development and use of various molecular tools to personalize the management of patients with adrenocortical tumours is discussed.

Indexed as

Adrenal Cortex NeoplasmsDNA MethylationGenome, HumanGenomicsHumansMicroRNAsPrecision MedicineRecurrenceSurvival AnalysisTranscriptomeMicroRNAs

Identifiers

What OpenQuestion holds

Textmetadata
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.