Evidence map›Paper›PMID 29080966›Full record

ReviewJournal of endocrinological investigation2018

Adrenocortical carcinoma: the dawn of a new era of genomic and molecular biology analysis.

R Armignacco, G Cantini, L Canu, G Poli, T Ercolino, M Mannelli, M Luconi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of endocrinological investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  6. Article
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  9. Review
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

7 authors.

R ArmignaccoEndocrinology Unit, Department of Clinical and Experimental Biomedical Sciences "Mario Serio", University of Florence, Viale Pieraccini, 6, 50139, Florence, Italy.
G CantiniEndocrinology Unit, Department of Clinical and Experimental Biomedical Sciences "Mario Serio", University of Florence, Viale Pieraccini, 6, 50139, Florence, Italy.
L CanuEndocrinology Unit, Department of Clinical and Experimental Biomedical Sciences "Mario Serio", University of Florence, Viale Pieraccini, 6, 50139, Florence, Italy.
G PoliEndocrinology Unit, Department of Clinical and Experimental Biomedical Sciences "Mario Serio", University of Florence, Viale Pieraccini, 6, 50139, Florence, Italy.
T ErcolinoEndocrinology Unit, Department of Clinical and Experimental Biomedical Sciences "Mario Serio", University of Florence, Viale Pieraccini, 6, 50139, Florence, Italy.
M MannelliEndocrinology Unit, Department of Clinical and Experimental Biomedical Sciences "Mario Serio", University of Florence, Viale Pieraccini, 6, 50139, Florence, Italy.
M LuconiEndocrinology Unit, Department of Clinical and Experimental Biomedical Sciences "Mario Serio", University of Florence, Viale Pieraccini, 6, 50139, Florence, Italy. michaela.luconi@unifi.it.ORCID http://orcid.org/0000-0001-5186-064X

Funding

Associazione Italiana per la Ricerca sul Cancro IG2015-17691Seventh Framework Programme 259735 ENS@T-Cancer
6 · The paper itself

Abstract

Over the last decade, the development of novel and high penetrance genomic approaches to analyze biological samples has provided very new insights in the comprehension of the molecular biology and genetics of tumors. The use of these techniques, consisting of exome sequencing, transcriptome, miRNome, chromosome alteration, genome, and epigenome analysis, has also been successfully applied to adrenocortical carcinoma (ACC). In fact, the analysis of large cohorts of patients allowed the stratification of ACC with different patterns of molecular alterations, associated with different outcomes, thus providing a novel molecular classification of the malignancy to be associated with the classical pathological analysis. Improving our knowledge about ACC molecular features will result not only in a better diagnostic and prognostic accuracy, but also in the identification of more specific therapeutic targets for the development of more effective pharmacological anti-cancer approaches. In particular, the specific molecular alteration profiles identified in ACC may represent targetable events by the use of already developed or newly designed drugs enabling a better and more efficacious management of the ACC patient in the context of new frontiers of personalized precision medicine.

Indexed as

Precision MedicineTranscriptomeAdrenal Cortex NeoplasmsAdrenocortical CarcinomaGenomicsHumansPrognosisAdrenal cancerGenomicsMolecular biology

Identifiers

What Socratic 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 Socratic graph.