Evidence map›Paper›PMID 39502961›Full record

ReviewCureus2024

Exploring the Role of Sigma Receptors in the Treatment of Cancer: A Narrative Review.

George Fotakopoulos, Charalabos Gatos, Vasiliki E Georgakopoulou, Grigorios Christodoulidis, Iraklis Kagkouras, Nikolaos Trakas, Nikolaos Foroglou

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

7 authors.

George FotakopoulosNeurosurgery, Aristotle University of Thessaloniki, Thessaloniki, GRC.
Charalabos GatosNeurosurgery, General University Hospital of Larissa, Larissa, GRC.
Vasiliki E GeorgakopoulouPathophysiology/Pulmonology, Laiko General Hospital, Athens, GRC.
Grigorios ChristodoulidisSurgery, General University Hospital of Larissa, Larissa, GRC.
Iraklis KagkourasSurgery, Worcestershire Acute Hospitals, Worcester, GBR.
Nikolaos TrakasBiochemistry, Sismanoglio Hospital, Marousi, GRC.
Nikolaos ForoglouNeurosurgery, Aristotle University of Thessaloniki, AHEPA University Hospital, Thessaloniki, GRC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the association of sigma receptors (SRs) and their selective ligands (because the molecular characteristics of the same SRs, particularly sigma-2 receptor {S2R}, are not completely clear) in carcinogenesis, their potential use as antitumor agents, and their great utility in tumor imaging. The ion channels and transporters enhance the cell's ability to adapt to the metabolic conditions encountered in the tumor tissue. The high expression of SRs in the proliferating cells compared with those at rest indicates that this is a significant clinical biomarker for determining the proliferative status of solid tumors using functional PET imaging techniques. The association of SRs in the pathophysiology of cancer cells is a result of the high concentration of S1R and S2R binding sites observed in various tumor cell lines and tissues. It would also be remarkable to determine if SRs are involved in metastasis and other metastatic cell behaviors such as adhesion, secretion, motility, and penetration. An absolute challenge for research in this field is to develop an integrated model that describes the molecular mechanisms of sigma receptors, incorporating their known biological and pathophysiological roles.

Indexed as

cancercarcinogenesissigma receptorss ligandsσ receptors

Identifiers

PMID39502961
PMCPMC11537387

What OpenQuestion holds

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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.