Evidence map›Paper›PMID 35139928›Full record

ArticleActa neuropathologica communications2022

Intratumoural spatial distribution of S100B + folliculostellate cells is associated with proliferation and expression of FSH and ERα in gonadotroph tumours.

Mirela Diana Ilie, Alexandre Vasiljevic, Marie Chanal, Nicolas Gadot, Laura Chinezu, Emmanuel Jouanneau, Ana Hennino, Gérald Raverot, Philippe Bertolino

Open access · goldAbstract read
In one paragraph

Article in Acta neuropathologica communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Tumour microenvironment and pituitary tumour behaviour.Journal of endocrinological investigation · 2023
    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

9 authors at 2 institutions in 2 countries.

Mirela Diana IlieInserm U1052, CNRS UMR5286, University Claude Bernard Lyon 1, Cancer Research Center of Lyon, Lyon, France.
Alexandre VasiljevicInserm U1052, CNRS UMR5286, University Claude Bernard Lyon 1, Cancer Research Center of Lyon, Lyon, France.
Marie ChanalInserm U1052, CNRS UMR5286, University Claude Bernard Lyon 1, Cancer Research Center of Lyon, Lyon, France.
Nicolas GadotInserm U1052, CNRS UMR5286, University Claude Bernard Lyon 1, Cancer Research Center of Lyon, Lyon, France.
Laura ChinezuPathology Department, Targu Mures Emergency Hospital, Targu Mures, Romania.
Emmanuel JouanneauInserm U1052, CNRS UMR5286, University Claude Bernard Lyon 1, Cancer Research Center of Lyon, Lyon, France.
Ana HenninoInserm U1052, CNRS UMR5286, University Claude Bernard Lyon 1, Cancer Research Center of Lyon, Lyon, France.
Gérald RaverotInserm U1052, CNRS UMR5286, University Claude Bernard Lyon 1, Cancer Research Center of Lyon, Lyon, France.
Philippe BertolinoInserm U1052, CNRS UMR5286, University Claude Bernard Lyon 1, Cancer Research Center of Lyon, Lyon, France. philippe.bertolino@inserm.fr.ORCID 0000-0001-8064-8269
Université Claude Bernard Lyon 1 · FRUniversitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Folliculostellate cells are S100B-expressing cells with numerous functions in the normal anterior pituitary. These cells have also been identified in pituitary neuroendocrine tumours (PitNETs), where their precise role remains elusive. Here, we aimed to build a refined cartography of S100B-expressing cells to characterise their interpatient and intratumoural spatial distribution, and to start identifying their potential functions in PitNETs. High-throughput histological analysis of S100B-stained tumour sections of 54 PitNETs revealed a significant decrease in S100B + cells in PitNETs compared to the normal anterior pituitary. A Ki67 index ≥ 3, a mitosis count > 2/10 per high power fields, and a proliferative status, were all associated with fewer S100B + cells in gonadotroph tumours. Gonadotroph tumours also showed interpatient and intratumoural heterogeneity in the spatial distribution of S100B + cells. The existence of an intratumoural heterogeneity was further confirmed by the incorporation to our spatial analysis of additional markers: Ki67, FSH, LH, ERα and SSTR2. The tumour areas with fewer S100B + cells displayed a higher percentage of Ki67 + cells, whereas strong positive correlations were observed between S100B + , FSH + , and ERα + cells. Such spatial associations suggest that S100B + folliculostellate cells could play a role in gonadotroph tumorigenesis, and may contribute to the maintenance of tumour cells in a low proliferating, FSH + /ERα + differentiated state. Albeit, further in-depth functional studies are required to decipher the mechanisms underlying these spatial associations and to potentially identify a therapeutic use.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCell ProliferationEstrogen Receptor alphaFemaleFollicle Stimulating HormoneGonadotrophsHumansMaleMiddle AgedNeuroendocrine TumorsPituitary NeoplasmsS100 Calcium Binding Protein beta SubunitBiomarkers, TumorESR1 protein, humanEstrogen Receptor alphaFollicle Stimulating HormoneS100B protein, humanS100 Calcium Binding Protein beta SubunitFolliculostellate cellsGonadotroph adenomaS100B + cellsTumour heterogeneityTumour microenvironment

Identifiers

PMID35139928
PMCPMC8827287
OpenAlexW4210830572

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.