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Omics · study · 2026

Identification of PEG10 as a biomarker for DICER1-related tumor predisposition syndrome

Listed in NCBI GEO

Description

Background

MicroRNAs (miRNAs) are short non-coding RNA molecules that downregulate messenger RNA (mRNA) expression. Mature miRNAs (designated -5p or -3p) are produced by the endonuclease DICER1. Mature miRNAs are loaded into the AGO2-containing RNA-Induced Silencing Complex where they target mRNAs via a seed sequence in the mRNA’s 3’ untranslated region (3’ UTR).

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Children with pathogenic variants of DICER1 have a highly elevated risk of cancers in many different organs– recognized as DICER1-related tumour predisposition (DRTP). These tumours/lesions have one inactivated copy and one “hotspot” mutated copy of DICER1. All “hotspot” DICER1 mutations impair 5p miRNA production.

DICER1 DNA sequencing has become the diagnostic standard but an immunohistochemical (IHC) diagnostic method may improve patient care via faster return of results.

Methods

Using AGO2 miR-eCLIP and RNAseq data of a mouse cell model of DRTP (E1705K) I identified paternally expressed gene 10 (Peg10) as a diagnostic candidate. Validation of cell overexpression (mRNA and protein) and de-repression of Peg10 3’ UTR was assessed. Dependence on Peg10 for cell viability was measured (post 72-hour siRNA-mediated knockdown).

IHC staining of two tumour microarrays (TMAs) was performed and scored (H-score) to evaluate its use in the clinic (Area Under Curve, AUC). Results: In E1705K, Peg10 displayed elevated RNA and protein levels as well as de-repression of its 3’ UTR. Peg10 knockdown does not impact cell viability.

TMA1 (41 female samples) had an AUC of 0.80 (considered of good clinical utility) while TMA2 (95 male and female samples) had an AUC was 0.71 (fair clinical utility). Conclusion: E1705K identified Peg10 as a biomarker that is elevated in DRTP tumours from both sexes bearing a variety of DICER1 hotspot variants. Elevated Peg10 mRNA levels are in part due to lack of 5p-mediated interactions with its 3’ UTR.

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From keywords
Life Sciences
Inferred from text
Cancer 65% · RNA sequencing 65% · Sequencing 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE29929912 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:cancerenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:non-coding-rna-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[organism].NCBITaxon:10090source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title