Evidence map›Paper›PMID 32153500›Full record

ReviewFrontiers in endocrinology2020

Experimental Evidence and Clinical Implications of Pituitary Adenoma Stem Cells.

Roberto Würth, Stefano Thellung, Alessandro Corsaro, Federica Barbieri, Tullio Florio

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
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  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Architects of Pituitary Tumour Growth.Frontiers in endocrinology · 2022
    Review
  16. [Update on mechanisms of pituitary tumorigenesis.]Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) · 2021
    Review
  17. Review
  18. Article
  19. Molecular Mechanisms of Pituitary Cell Plasticity.Frontiers in endocrinology · 2020
    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

5 authors at 1 institution in 1 country.

Roberto WürthSection of Pharmacology, Dipartimento di Medicina Interna and Centro di Eccellenza per la Ricerca Biomedica (CEBR), Università di Genova, Genoa, Italy.
Stefano ThellungSection of Pharmacology, Dipartimento di Medicina Interna and Centro di Eccellenza per la Ricerca Biomedica (CEBR), Università di Genova, Genoa, Italy.
Alessandro CorsaroSection of Pharmacology, Dipartimento di Medicina Interna and Centro di Eccellenza per la Ricerca Biomedica (CEBR), Università di Genova, Genoa, Italy.
Federica BarbieriSection of Pharmacology, Dipartimento di Medicina Interna and Centro di Eccellenza per la Ricerca Biomedica (CEBR), Università di Genova, Genoa, Italy.
Tullio FlorioSection of Pharmacology, Dipartimento di Medicina Interna and Centro di Eccellenza per la Ricerca Biomedica (CEBR), Università di Genova, Genoa, Italy.
University of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pituitary adenomas, accounting for 15% of diagnosed intracranial neoplasms, are usually benign and pharmacologically and surgically treatable; however, the critical location, mass effects and hormone hypersecretion sustain their significant morbidity. Approximately 35% of pituitary tumors show a less benign course since they are highly proliferative and invasive, poorly resectable, and likely recurring. The latest WHO classification of pituitary tumors includes pituitary transcription factor assessment to determine adenohypophysis cell lineages and accurate designation of adenomas, nevertheless little is known about molecular and cellular pathways which contribute to pituitary tumorigenesis. In malignant tumors the identification of cancer stem cells radically changed the concepts of both tumorigenesis and pharmacological approaches. Cancer stem cells are defined as a subset of undifferentiated transformed cells from which the bulk of cancer cells populating a tumor mass is generated. These cells are able to self-renew, promoting tumor progression and recurrence of malignant tumors, also conferring cytotoxic drug resistance. On the other hand, the existence of stem cells within benign tumors is still debated. The presence of adult stem cells in human and murine pituitaries where they sustain the high plasticity of hormone-producing cells, allowed the hypothesis that putative tumor stem cells might exist in pituitary adenomas, reinforcing the concept that the cancer stem cell model could also be applied to pituitary tumorigenesis. In the last few years, the isolation and phenotypic characterization of putative pituitary adenoma stem-like cells was performed using a wide and heterogeneous variety of experimental models and techniques, although the role of these cells in adenoma initiation and progression is still not completely definite. The assessment of possible pituitary adenoma-initiating cell population would be of extreme relevance to better understand pituitary tumor biology and to identify novel potential diagnostic markers and pharmacological targets. In this review, we summarize the most updated studies focused on the definition of pituitary adenoma stem cell phenotype and functional features, highlighting the biological processes and intracellular pathways potentially involved in driving tumor growth, relapse, and therapy resistance.

Indexed as

Drug Resistance, NeoplasmAdenomaAnimalsCell Transformation, NeoplasticHumansNeoplasm Recurrence, LocalNeoplastic Stem CellsPituitary Neoplasmscancer stem cellsdrug sensitivitypituitaryself-renewaltumorigenesis

Identifiers

PMID32153500
PMCPMC7044184
OpenAlexW3008234298

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.