Evidence map›Paper›PMID 39575416›Full record

ArticleFrontiers in oncology2024

Characterization of sarcoma topography in Li-Fraumeni syndrome.

Karin J Brockman, Mone't B Thompson, Lisa Mirabello, Sharon A Savage, Ashkan Malayeri, Jessica N Hatton, Payal P Khincha

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

7 authors.

Karin J BrockmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
Mone't B ThompsonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
Lisa MirabelloDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
Sharon A SavageDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
Ashkan MalayeriRadiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, United States.
Jessica N HattonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
Payal P KhinchaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.

Funding

Clinical Genetic Studies of Familial and Hereditary Cancer SyndromesZIACP010144 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SAVAGE, SHARON A. · 2009 to 2025
$111.8M
Intramural NIH HHS ZIA CP010144NCI NIH HHS HHSN261201800004C
6 · The paper itself

Abstract

Introduction: Li-Fraumeni syndrome (LFS) is a hereditary cancer predisposition syndrome primarily caused by germline Methods: Study subjects included individuals from clinically and genetically ascertained cohorts of germline Results: Data was aggregated for a total of 160 sarcomas that had detailed topography available. Abdominal sarcomas and extremity osteosarcomas were among the most frequent locations of sarcomas. Chi-squared analyses showed no statistical differences in sarcoma topography based on age (pediatric vs adult) or sex (male vs female). A case series of sarcomas from the NCI-LFS study highlights the diagnostic challenges due to topography-related imaging. Discussion: While LFS-related sarcomas frequently occur in expected locations such as the extremities, they also occur in less typical sites, leading to difficulties in discerning between differential diagnoses on wbMRI and imaging. Prospective collection of detailed cancer topography in individuals with LFS will further aid in recommendations for radiologic interpretation and personalized screening in individuals with LFS.

Indexed as

Li-Fraumeni syndromesarcomascreeningTP53whole body MRI

Identifiers

PMID39575416
PMCPMC11578819

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