Evidence map›Paper›PMID 34567287›Full record

ReviewThe EPMA journal2021

Overview of omics biomarkers in pituitary neuroendocrine tumors to design future diagnosis and treatment strategies.

Busra Aydin, Aysegul Caliskan, Kazim Yalcin Arga

Open access · greenAbstract readReview
In one paragraph

Review in The EPMA journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Illuminating diabetesWorld journal of diabetes · 2025
    Review
  2. Review
  3. Article
  4. Transcriptome-Derived Ligand-Receptor Interactome of Major PitNET Subgroups.Journal of neurological surgery. Part B, Skull base · 2024
    Article
  5. Article
  6. Article
  7. 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 at 2 institutions in 1 country.

Busra AydinDepartment of Bioengineering, Faculty of Engineering, Marmara University, Istanbul, Turkey.
Aysegul CaliskanDepartment of Bioengineering, Faculty of Engineering, Marmara University, Istanbul, Turkey.
Kazim Yalcin ArgaDepartment of Bioengineering, Faculty of Engineering, Marmara University, Istanbul, Turkey.ORCID 0000-0002-6036-1348
Marmara University · TRIstinye University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pituitary neuroendocrine tumors (PitNETs) are the second most common type of intracranial neoplasia. Since their manifestation usually causes hormone hypersecretion, effective management of PitNETs is indisputably necessary. Most of the non-functioning PitNETs pose a real challenge in diagnosis as they grow without giving any signs. Despite the good response of prolactinomas to dopamine agonist therapy, some of these tumors persist or recur; also, about 20% are resistant and 10% behave aggressively. The silent corticotropinomas may not cause symptoms until the tumor mass causes a complication. In somatotropinomas, the possibility of recurrence after transsphenoidal resection is more common in pediatric patients than in adult patients. Therefore, detection of tumors at early stages or identification of recurrence and remission after transsphenoidal surgery would allow wiser management of the disease. Extensive studies have been performed to uncover potential signatures that can be used for preventive diagnosis and/or prognosis of PitNETs as well as for targeted therapy. These molecular signatures at multiple biological levels hold promise for the convergence of preventive approaches and patient-centered disease management and offer potential therapeutic strategies. In this review, we provide an overview of the omics-based biomarker research and highlight the multi-omics signatures that have been proposed as pitNET biomarkers. In addition, understanding the multi-omics data integration of current biomarker discovery strategies was discussed in terms of preventive, predictive, and personalized medicine. The topics discussed in this review will help to develop broader visions for pitNET research, diagnosis, and therapy, particularly in the context of personalized medicine.

Indexed as

BiomarkersMulti-omics data integrationOmics biomarkersPituitary adenomaPituitary neuroendocrine tumorsPredictive preventive personalized medicine

Identifiers

PMID34567287
PMCPMC8417171
OpenAlexW3175718466

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.