Evidence map›Paper›PMID 37318677›Full record

ArticleJournal of neuro-oncology2023

Integrated clinical genomic analysis reveals xenobiotic metabolic genes are downregulated in meningiomas of current smokers.

A Basit Khan, Rajan Patel, Malcolm F McDonald, Eric Goethe, Collin English, Ron Gadot, Arya Shetty, Shervin Hosseingholi Nouri, Arif O Harmanci, Akdes S Harmanci and 2 more

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Article in Journal of neuro-oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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

12 authors at 4 institutions in 1 country.

A Basit Khan *Department of Neurosurgery, Baylor College of Medicine, Houston, USA.
Rajan Patel *Department of Neurosurgery, Baylor College of Medicine, Houston, USA.
Malcolm F McDonald *Department of Neurosurgery, Baylor College of Medicine, Houston, USA.
Eric GoetheDepartment of Neurosurgery, Baylor College of Medicine, Houston, USA.
Collin EnglishDepartment of Neurosurgery, Baylor College of Medicine, Houston, USA.
Ron GadotDepartment of Neurosurgery, Baylor College of Medicine, Houston, USA.
Arya ShettyDepartment of Neurosurgery, Baylor College of Medicine, Houston, USA.
Shervin Hosseingholi NouriDepartment of Neurosurgery, Baylor College of Medicine, Houston, USA.
Arif O HarmanciSchool of Biomedical Informatics, University of Texas Health Science Center Houston, Houston, USA.
Akdes S HarmanciDepartment of Neurosurgery, Baylor College of Medicine, Houston, USA.
Tiemo J KlischDepartment of Neurosurgery, Baylor College of Medicine, Houston, USA.
Akash J PatelDepartment of Neurosurgery, Baylor College of Medicine, Houston, USA. Akash.Patel@bcm.edu.
Baylor College of Medicine · USNeurological Research Institute · USTexas Children's Hospital · USThe University of Texas Health Science Center at Houston · US

Funding

Establishing the Genomic Landscape of Human Atypical MeningiomasK08NS102474 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI PATEL, AKASH J. · 2017 to 2021
$869k
NINDS NIH HHS K08NS102474
6 · The paper itself

Abstract

introductionMeningiomas are the most common primary intracranial tumor. Recently, various genetic classification systems for meningioma have been described. We sought to identify clinical drivers of different molecular changes in meningioma. As such, clinical and genomic consequences of smoking in patients with meningiomas remain unexplored.

methods88 tumor samples were analyzed in this study. Whole exome sequencing (WES) was used to assess somatic mutation burden. RNA sequencing data was used to identify differentially expressed genes (DEG) and genes sets (GSEA).

resultsFifty-seven patients had no history of smoking, twenty-two were past smokers, and nine were current smokers. The clinical data showed no major differences in natural history across smoking status. WES revealed absence of AKT1 mutation rate in current or past smokers compared to non-smokers (p = 0.046). Current smokers had increased mutation rate in NOTCH2 compared to past and never smokers (p < 0.05). Mutational signature from current and past smokers showed disrupted DNA mismatch repair (cosine-similarity = 0.759 and 0.783). DEG analysis revealed the xenobiotic metabolic genes UGT2A1 and UGT2A2 were both significantly downregulated in current smokers compared to past (Log2FC = - 3.97, padj = 0.0347 and Log2FC = - 4.18, padj = 0.0304) and never smokers (Log2FC = - 3.86, padj = 0.0235 and Log2FC = - 4.20, padj = 0.0149). GSEA analysis of current smokers showed downregulation of xenobiotic metabolism and enrichment for G2M checkpoint, E2F targets, and mitotic spindle compared to past and never smokers (FDR < 25% each).

conclusionIn this study, we conducted a comparative analysis of meningioma patients based on their smoking history, examining both their clinical trajectories and molecular changes. Meningiomas from current smokers were more likely to harbor NOTCH2 mutations, and AKT1 mutations were absent in current or past smokers. Moreover, both current and past smokers exhibited a mutational signature associated with DNA mismatch repair. Meningiomas from current smokers demonstrate downregulation of xenobiotic metabolic enzymes UGT2A1 and UGT2A2, which are downregulated in other smoking related cancers. Furthermore, current smokers exhibited downregulation xenobiotic metabolic gene sets, as well as enrichment in gene sets related to mitotic spindle, E2F targets, and G2M checkpoint, which are hallmark pathways involved in cell division and DNA replication control. In aggregate, our results demonstrate novel alterations in meningioma molecular biology in response to systemic carcinogens.

Indexed as

Meningeal NeoplasmsMeningiomaGenomicsGlucuronosyltransferaseHumansMutationSmokingXenobioticsGlucuronosyltransferaseUGT2A1 protein, humanXenobioticsMeningiomaSmokingUGT2A1UGT2A2Xenobiotic metabolism

Identifiers

PMID37318677
OpenAlexW4380730900

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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.