Evidence map›Paper›PMID 23529275›Full record

ArticleJournal of cancer research and clinical oncology2013

Can HMGI-C be used as an aid with MDM2 and CDK4 to differentiate liposarcoma subtypes from their mimics?

Hanan Alshenawy

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In one paragraph

Article in Journal of cancer research and clinical oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Hanan Alshenawyhanan_alshenawy@yahoo.com
Yahoo (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLiposarcoma represents the most common soft tissue tumors in adults. The tumors are characterized by a high morphological diversity and a great variation in biological behavior. Atypical lipomatous tumors represent a distinctive subset of mesenchymal neoplasms featuring mature adipocytic differentiation. Histologically, atypical lipomatous tumor might be easily confused with lipoma. Conversely, dedifferentiated liposarcoma may be confused with other spindle cell/pleomorphic undifferentiated tumors.

methodsA group of liposarcomas was analyzed by investigating the MDM2, CDK4, and HMGI-C proteins. The study was extended to a group of lipomas and non-lipomatous sarcomas, to determine whether the immunohistochemical investigation of these proteins might play any diagnostic role.

resultsOur data suggest that ordinary lipomas may form a molecular genetic and morphological continuum with atypical lipomatous tumor. At one end of the spectrum are lipomas characterized by HMGI-C activation and at the other end are atypical lipomatous tumors with overrepresentation of the HMGI-C, CDK4, or MDM2 proteins. These findings not only provide insights into the molecular pathogenesis of lipomatous tumors, but also indicate that the immunohistochemical analysis of HMGI-C, CDK4, or MDM2 may help to increase diagnostic accuracy.

conclusionsHMGI-C is a useful adjunct in the diagnosis of atypical lipomatous tumor and dedifferentiated liposarcoma and differentiates them from their mimics. Therefore, in our experience, HMGI-C expression alone is of rather limited value in the differential diagnosis of liposarcoma subtypes.

Indexed as

AdultAgedBiomarkers, TumorCyclin-Dependent Kinase 4Diagnosis, DifferentialFemaleHMGA2 ProteinHumansImmunohistochemistryLipomaLiposarcomaMaleMiddle AgedProto-Oncogene Proteins c-mdm2SarcomaSensitivity and SpecificityBiomarkers, TumorCDK4 protein, humanCyclin-Dependent Kinase 4HMGA2 ProteinMDM2 protein, humanProto-Oncogene Proteins c-mdm2

Identifiers

PMID23529275
PMCPMC11824795
OpenAlexW2033978807

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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.