Evidence map›Paper›PMID 38187082›Full record

ReviewTouchREVIEWS in endocrinology2023

Prognostic Biomarkers in Pituitary Tumours: A Systematic Review.

Eirini Papadimitriou, Eleftherios Chatzellis, Anastasia Dimitriadi, Gregory A Kaltsas, Stamatios Theocharis, Krystallenia I Alexandraki

Open access · diamondAbstract readReview
In one paragraph

Review in TouchREVIEWS in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Recent Advances in the Application of Cucurbitacin B as an Anticancer Agent.International journal of molecular sciences · 2025
    Review
  4. Article
  5. Review
  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

6 authors at 4 institutions in 2 countries.

Eirini PapadimitriouFirst Department of Propaedeutic Medicine, Laiko Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Eleftherios ChatzellisEndocrinology Diabetes and Metabolism Department, 251 Hellenic Air Force and VA General Hospital, Athens, Greece.
Anastasia DimitriadiDepartment of Pathology, Metropolitan Private Hospital, Athens, Greece.
Gregory A KaltsasFirst Department of Propaedeutic Medicine, Laiko Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Stamatios TheocharisFirst Department of Pathology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Krystallenia I AlexandrakiSecond Department of Surgery, Aretaieio Hospital Athens, Medical School, Athens, Greece.
National and Kapodistrian University of Athens · GRAretaeio Hospital · GRDiabetes Australia · AUMetropolitan Hospital · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pituitary tumours (PTs) are the second most common intracranial tumour. Although the majority show benign behaviour, they may exert aggressive behaviour and can be resistant to treatment. The aim of this review is to report the recently identified biomarkers that might have possible prognostic value. Studies evaluating potentially prognostic biomarkers or a therapeutic target in invasive/recurrent PTs compared with either non-invasive or non-recurrent PTs or normal pituitaries are included in this review. In the 28 included studies, more than 911 PTs were evaluated. A systematic search identified the expression of a number of biomarkers that may be positively correlated with disease recurrence or invasion in PT, grouped according to role: (1) insensitivity to anti-growth signals: minichromosome maintenance protein 7; (2) evasion of the immune system: cyclooxygenase 2, arginase 1, programmed cell death protein 1 (PD-1)/programmed death ligand 2, cluster of differentiation (CD) 80/CD86; (3) sustained angiogenesis: endothelial cell-specific molecule, fibroblast growth factor receptor, matrix metalloproteinase 9, pituitary tumour transforming gene; (4) self-sufficiency in growth signals: epidermal growth factor receptor; and (5) tissue invasion: matrix metalloproteinase 9, fascin protein. Biomarkers with a negative correlation with disease recurrence or invasion include: (1) insensitivity to anti-growth signals: transforming growth factor β1, Smad proteins; (2) sustained angiogenesis: tissue inhibitor of metalloproteinase 1; (3) tissue invasion: Wnt inhibitory factor 1; and (4) miscellaneous: co-expression of glial fibrillary acidic protein and cytokeratin, and oestrogen receptors α36 and α66. PD-1/programmed cell death ligand 1 showed no clear association with invasion or recurrence, while cyclin A, cytotoxic T lymphocyte-associated protein 4, S100 protein, ephrin receptor, galectin-3 , neural cell adhesion molecule, protein tyrosine phosphatase 4A3 and steroidogenic factor 1 had no association with invasion or recurrence of PT. With the aim to develop a more personalized approach to the treatment of PT, and because of the limited number of molecular targets currently studied in the context of recurrent PT and invasion, a better understanding of the most relevant of these biomarkers by well-d esigned interventional studies will lead to a better understanding of the molecular profile of PT. This should also meet the increased need of treatable molecular targets.

Indexed as

Biomarkersinvasive adenomaspituitary adenomapituitary tumoursprognostic biomarkersrecurrent adenomas

Identifiers

PMID38187082
PMCPMC10769480
OpenAlexW4388792216

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.