Evidence map›Paper›PMID 35887151›Full record

ArticleInternational journal of molecular sciences2022

MicroRNAs as Potential Biomarkers in the Differential Diagnosis of Lipomatous Tumors and Their Mimics.

Hui Min Tan, He Cheng, Yew Chung Tang, Sai Mun Leong, Poh Yin Teo, Chi Kuen Lee, Victor Kwan Min Lee, Susan Swee-Shan Hue

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 10 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

8 authors at 4 institutions in 1 country.

Hui Min TanDepartment of Pathology, National University Hospital, National University Health System, Singapore 119074, Singapore.ORCID 0000-0002-4833-7337
He ChengMiRXES Lab, Singapore 138623, Singapore.
Yew Chung TangMiRXES Lab, Singapore 138623, Singapore.ORCID 0000-0003-0890-7822
Sai Mun LeongDepartment of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Poh Yin TeoDivision of Oncology Pharmacy, National University Cancer Institute Singapore, National University Health System, Singapore 119074, Singapore.
Chi Kuen LeeDepartment of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Victor Kwan Min LeeDepartment of Pathology, National University Hospital, National University Health System, Singapore 119074, Singapore.
Susan Swee-Shan HueDepartment of Pathology, National University Hospital, National University Health System, Singapore 119074, Singapore.ORCID 0000-0003-1854-1481
National University of Singapore · SGAgency for Science, Technology and Research · SGNational University Cancer Institute, Singapore · SGNational University Hospital · SG

Funding

National University Hospital, Singapore, Department of Pathology Start-up Grant Nil
6 · The paper itself

Abstract

Adipocytic tumors are the most common subtype of soft tissue tumors. In current clinical practice, distinguishing benign lipomas from well-differentiated liposarcomas (WDLPS), as well as dedifferentiated liposarcomas (DDLPS) from their morphologic mimics, remains a significant diagnostic challenge. This is especially so when examining small biopsy samples and without the aid of additional ancillary tests. Recognizing the important role that microRNAs (miRNAs) play in tumorigenesis and their potential utility in tumor classification, we analyzed routine clinical tissue samples of benign and malignant lipomatous tumors, as well as other sarcoma mimics, to identify distinguishing miRNA-based signatures that can aid in the differential diagnosis of these entities. We discovered a 6-miRNA signature that separated lipomas from WDLPS with high confidence (AUC of 0.963), as well as a separate 6-miRNA signature that distinguished DDLPS from their more aggressive histologic mimics (AUC of 0.740). Functional enrichment analysis unveiled possible mechanistic involvement of these predictive miRNAs in adipocytic cancer-related biological processes and pathways such as PI3K/AKT/mTOR and MAPK signaling, further supporting the relevance of these miRNAs as biomarkers for adipocytic tumors. Our results demonstrate that miRNA expression profiling may potentially be used as an adjunctive tool for the diagnosis of benign and malignant adipocytic tumors. Further validation studies are warranted.

Indexed as

LipomaLiposarcomaMicroRNAsSoft Tissue NeoplasmsBiomarkers, TumorDiagnosis, DifferentialHumansPhosphatidylinositol 3-KinasesBiomarkers, TumorMicroRNAsPhosphatidylinositol 3-Kinasesdedifferentiated liposarcomalipomamicroRNAundifferentiated pleomorphic sarcomawell-differentiated liposarcoma

Identifiers

PMID35887151
PMCPMC9322088
OpenAlexW4285733101

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.