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Omics · study · 2026

Epigenetic markers of tumor progression in breast cancer patients with high nodal involvement

Listed in NCBI GEO

Description

Background

Management of axillary lymph node (LN) disease in breast cancer (BC) is evolving, with declining use of axillary lymph node dissection (ALND). Consequently, prognostic information from nodal assessment is becoming limited. Molecular determinants of primary tumors associated with greater nodal burden could provide complementary prognostic value and mechanistic insights into progression.

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Methods

We retrospectively analyzed 47 patients with estrogen receptor–positive (ER+), HER2–negative (HER2–) BC with nodal metastases at diagnosis, excluding patients treated with neoadjuvant therapy. Patients were stratified by nodal stage (pN1: 1–3 positive nodes, n=29; >pN1: ≥4 positive nodes, n=18). Genome-wide DNA methylation profiling was performed.

Findings were validated in TCGA, SCAN-B, AURORA-US, and additional datasets integrating DNA methylation and transcriptomic data. Results: We identified 7,794 differentially methylated sites, with promoter hypermethylation enriched in CpG islands and hypomethylation in open sea regions of >pN1 primary BC tumors. Cross-cohort integration with TCGA (n=148) revealed 95 promoter-associated genes with consistent methylation differences, enriched in developmental and adhesion gene pathways.

Among these, seven genes also showed concordant differential expression. From five clinically relevant genes (TTC23, ARL10, RIC3, CXCL14, KCNH2), we derived the Lymph-node Involvement Outcome Numerator (LION) Score. Lower LION Scores were associated with higher nodal burden and poorer distant metastasis–free survival across multiple cohorts.

Conclusions: Epigenetic alterations in ER+/HER2– BC are associated with higher LN involvement and metastatic risk. The LION Score, while not a predictive classifier, represents a biologically informed metric with potential to complement prognostic staging in an era of reduced axillary surgery.

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Topics

From keywords
Life Sciences
Inferred from text
Cancer 75% · Disease 75% · DNA methylation profiling 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE3077708 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 (75%)
concepts[disease].local:disease:diseaseenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:methylation-profiling-by-genome-tiling-arraysource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[method].local:method:dna-methylation-profilingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
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