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Omics · study · 2026

Insights into intestinal neuroendocrine tumors in relation to normal human EEC differentiation [RNAseq]

Listed in NCBI GEO

Mutationally silent small intestinal neuroendocrine tumors (SI-NETs) characterized by few recurrent alterations, such as those that inactivate the cyclin-dependent kinase (CDK) inhibitor CDKN1B in <10% of cases are not well defined at the molecular level.

Description

Since the native enteroendocrine cells (EECs), which these tumors resemble, are scarce; the lack of reference data from normal EECs limits identification of gene and cis-element dysregulation in SI-NETs.

We established transcriptional landscapes (RNA-seq) in bulk cultures and at single-cell (sc) resolution during the trajectory of normal human EEC differentiation from ileal stem cells in vitro (PMID 38733993). We compared the findings in SI-NETs against the novel reference profiles of normal human EEC differentiation and maturation. SI-NETs correspond principally to mature EC cells, with discernible features of non-EC and progenitor cells; persistent expression of the latter genes likely contributes to malignant properties.

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Underlying this aberrant expression pattern we found diverse SI-NET enhancers. EECs normally differentiate through an intermediate HES6hi/ASCL1+ oscillatory state before NEUROD1+ pre-terminal cells emerge; ASCL1 expression then persists only in mature EC cells. In contrast, although SI-NETs express NEUROD1, they strictly lack ASCL1 and other genes normally co-expressed with ASCL1.

Notably, ASCL1 and loci encoding transcription factors that define non-EC cell types (ISL1, ARX, PAX6, PDX1) are marked with H3K27me3, signifying epigenetic silencing. SI-NETs express CDKN1B but other CDK inhibitors, e.g., CDKN2A and CDKN1C, are epigenetically silenced, suggesting that tumor cells may especially depend on wild-type CDKN1B function. Chromatin and transcriptional features of SI-NETs, revealed for the first time with respect to normal EEC differentiation, will help identify tumorigenic pathways and candidate therapeutic targets.

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From keywords
Life Sciences
Inferred from text
Cancer 65% · RNA sequencing 65%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE27721213 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:expression-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[organism].NCBITaxon:9606source · 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