Evidence map›Paper›PMID 41900904›Full record

ArticleLife (Basel, Switzerland)2026

Inactivation of

Maya Samuels, Madi Williams, Angela Hasan, Susan Rafie, Grace S Saglimbeni, Beau Hsia, Sunil Nair, Sweety Aeilias, Abubakar Tauseef

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2026. 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Maya SamuelsSanta Clara University, College of Arts and Sciences, Santa Clara, CA 95053, USA.
Madi WilliamsSanta Clara University, College of Arts and Sciences, Santa Clara, CA 95053, USA.
Angela HasanSanta Clara University, College of Arts and Sciences, Santa Clara, CA 95053, USA.ORCID 0009-0003-0033-2654
Susan RafieArizona State University West, Glendale, AZ 85306, USA.
Grace S SaglimbeniSchool of Medicine, Creighton University, Phoenix, AZ 85012, USA.
Beau HsiaSchool of Medicine, Creighton University, Phoenix, AZ 85012, USA.ORCID 0009-0009-6403-502X
Sunil NairInternal Medicine Department, School of Medicine, Creighton University, Omaha, NE 68178, USA.
Sweety AeiliasCHI (Catholic Health Initiatives) Health Immanuel, CommonSpirit Health, Omaha, NE 68122, USA.
Abubakar TauseefInternal Medicine Department, School of Medicine, Creighton University, Omaha, NE 68178, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesPeritoneal mesothelioma is a rare malignancy characterized by limited therapeutic options and a poor prognosis. Genomic characterization can enhance the understanding of the molecular mechanisms that lead to this disease and can contribute to improved survival outcomes through therapeutic targets.

methodsAnalysis was performed using a dataset from the AACR GENIE database (v17.0-public) comprising 204 samples from 192 patients. Data were analyzed to identify patterns in genomic alterations and clinical demographics. Within the GENIE cohort, histologic subtype information was incomplete and inconsistently reported across contributing institutions. Hence, histological subtype genomic analysis was not viable.

resultsThe most common somatic mutation was found in the

conclusionsThis study presents data that can help draw conclusions on common mutations, mutual exclusivity patterns, and demographics at risk for peritoneal mesothelioma. Genomic analysis of peritoneal mesothelioma may inform possible intervention targets for therapeutic treatment.

Indexed as

AACR Project GENIEBAP1hippo signaling pathwayNF2p53peritoneal mesotheliomasomatic mutationsTP53tumor suppressor genes

Identifiers

PMID41900904
PMCPMC13027819

What OpenQuestion holds

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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.