Evidence map›Paper›PMID 35359418›Full record

ArticleFrontiers in oncology2022

Solid Tumor Opioid Receptor Expression and Oncologic Outcomes: Analysis of the Cancer Genome Atlas and Genotype Tissue Expression Project.

Amparo Belltall, Sheila Zúñiga-Trejos, Iris Garrido-Cano, Pilar Eroles, Maria Pilar Argente-Navarro, Donal J Buggy, Oscar Díaz-Cambronero, Guido Mazzinari

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  5. Review
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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

8 authors at 4 institutions in 3 countries.

Amparo BelltallPerioperative Medicine Research Group, Instituto de Investigación Sanitaria la Fe, Valencia, Spain.
Sheila Zúñiga-TrejosBioinformatics and Biostatistics Unit, INCLIVA Biomedical Research Institute, Valencia, Spain.
Iris Garrido-CanoBreast Cancer Research Group, Molecular and Cellular Oncolgy Unit, Biomedical Research Institute, INCLIVA, Valencia, Spain.
Pilar ErolesBreast Cancer Research Group, Molecular and Cellular Oncolgy Unit, Biomedical Research Institute, INCLIVA, Valencia, Spain.
Maria Pilar Argente-NavarroPerioperative Medicine Research Group, Instituto de Investigación Sanitaria la Fe, Valencia, Spain.
Donal J BuggyEuro-Periscope: The Onco-Anaesthesiology Research Group (RG) of European Society of Anaesthesiology & Intensive Care (ESA-IC), Brussels, Belgium.
Oscar Díaz-CambroneroPerioperative Medicine Research Group, Instituto de Investigación Sanitaria la Fe, Valencia, Spain.
Guido MazzinariPerioperative Medicine Research Group, Instituto de Investigación Sanitaria la Fe, Valencia, Spain.
INCLIVA Health Research Institute · ESHospital Universitari i Politècnic La Fe · ESInstituto de Investigación Sanitaria La Fe · ESUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Opioid receptors are expressed not only by neural cells in the central nervous system, but also by many solid tumor cancer cells. Whether perioperative opioids given for analgesia after tumor resection surgery might inadvertently activate tumor cells, promoting recurrence or metastasis, remains controversial. We analysed large public gene repositories of solid tumors to investigate differences in opioid receptor expression between normal and tumor tissues and their association with long-term oncologic outcomes. Methods: We investigated the normalized gene expression of µ, κ, δ opioid receptors (MOR, KOR, DOR), Opioid Growth Factor (OGFR), and Toll-Like 4 (TLR4) receptors in normal and tumor samples from twelve solid tumor types. We carried out mixed multivariable logistic and Cox regression analysis on whether there was an association between these receptors' gene expression and the tissue where found, i.e., tumor or normal tissue. We also evaluated the association between tumor opioid receptor gene expression and patient disease-free interval (DFI) and overall survival (OS). Results: We retrieved 8,780 tissue samples, 5,852 from tumor and 2,928 from normal tissue, of which 2,252 were from the Genotype Tissue Expression Project (GTEx) and 672 from the Cancer Genome Atlas (TCGA) repository. The Odds Ratio (OR) [95%CI] for gene expression of the specific opioid receptors in the examined tumors varied: MOR: 0.74 [0.63-0.87], KOR: 1.27 [1.17-1.37], DOR: 1.66 [1.48-1.87], TLR4: 0.29 [0.26-0.32], OGFR: 2.39 [2.05-2.78]. After controlling all confounding variables, including age and cancer stage, there was no association between tumor opioid receptor expression and long-term oncologic outcomes. Conclusion: Opioid receptor gene expression varies between different solid tumor types. There was no association between tumor opioid receptor expression and recurrence. Understanding the significance of opioid receptor expression on tumor cells remains elusive.

Indexed as

cancerimmunohistochemistryneoplasmopioid receptorsperioperative opioidsurgerytumor

Identifiers

PMID35359418
PMCPMC8960174
OpenAlexW4220783489

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Registered trials

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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.