Evidence map›Paper›PMID 39219875›Full record

ArticleCureus2024

Muir-Torre Syndrome: A Case Report and a Literature Review of Genetic Insights and Cancer Surveillance.

Shubam Trehan, Gurjot Singh, Kanishka Goswami, Amna Farooq, Fnu Kalpana, Priya Antil, Waqas Azhar

Abstract readCase Reports
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Deep intronicJID innovations : skin science from molecules to population health · 2026
    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.

Shubam TrehanInternal Medicine, Southern Illinois University School of Medicine, Springfield, USA.
Gurjot SinghInternal Medicine, Southern Illinois University School of Medicine, Springfield, USA.
Kanishka GoswamiInternal Medicine, Southern Illinois University School of Medicine, Springfield, USA.
Amna FarooqInternal Medicine, Southern Illinois University School of Medicine, Springfield, USA.
Fnu KalpanaInternal Medicine, Southern Illinois University School of Medicine, Springfield, USA.
Priya AntilInternal Medicine, Southern Illinois University School of Medicine, Springfield, USA.
Waqas AzharInternal Medicine, Memorial Medical Center, Springfield, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muir-Torre syndrome (MTS) is a rare autosomal dominant genetic disorder that manifests through the co-occurrence of sebaceous skin tumors and internal malignancies, primarily due to mutations in mismatch repair (MMR) genes such as MSH2, MLH1, and MSH6. This paper presents a detailed case report of a 57-year-old female diagnosed with MTS, highlighting her extensive medical history and the critical role of genetic testing and multidisciplinary management. The patient's dermatological and oncological assessments revealed multiple sebaceous carcinomas and recurrent urothelial carcinoma, confirmed by a pathogenic MSH2 mutation. Through comprehensive preventive surgeries and rigorous follow-up, this case underscores the necessity of proactive cancer surveillance. The discussion integrates findings from key genetic studies and emphasizes the importance of immunohistochemistry in diagnosis. Recommendations for clinical practice include routine genetic testing, stringent surveillance, and multidisciplinary management, underscoring the need for ongoing research to understand better and manage this complex syndrome.

Indexed as

actinic lesionscancer surveillancemsh2msh6muir torre syndromesebaceous carcinoma in situvisceral neoplasms

Identifiers

PMID39219875
PMCPMC11363214

What OpenQuestion holds

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LicenceCC BY
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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.