Loss of MUC1 methylation haplotype complexity defines a distinct epigenetic architecture in clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) harbours recurrent epigenetic alterations, but locus-specific DNA methylation haplotype architecture remains poorly defined. Conventional methylation analyses report average methylation levels and cannot resolve CpG arrangements on individual DNA molecules. We investigated whether MUC1 promoter methylation haplotypes differ between neoplastic and adjacent non-neoplastic renal tissues. We performed bisulfite amplicon sequencing of the MUC1 promoter in 53 paired neoplastic and non-neoplastic ccRCC tissue regions and quantified methylation haplotypes at single-molecule resolution. Haplotype complexity was assessed using Shannon, Simpson, Chao1, and ACE indices, and tissue-associated architecture was evaluated by consensus t-SNE and PERMANOVA. MUC1 methylation haplotype composition was markedly remodelled in ccRCC. Neoplastic regions showed reduced haplotype complexity across all α-diversity indices (all p ≤ 0.001), with enrichment of unmethylated haplotypes, including 5′-UUUUUUUU-3′, and depletion of highly methylated haplotypes, including 5′-MMMMMMMM-3′. β-diversity analysis demonstrated separation between neoplastic and adjacent non-neoplastic tissue regions (PERMANOVA R2 = 0.483, p < 0.001), indicating distinct tissue-associated epigenetic architecture. Exploratory in silico pseudo-mixture analysis showed that the tissue-derived signature retained discriminatory information at low simulated fractions. These findings identify loss of MUC1 methylation haplotype complexity as a distinct epigenetic feature of ccRCC tissues and support haplotype-level profiling for dissecting cancer-associated epigenetic heterogeneity.

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Journal
Epigenetics Reports
Published
2026-09-29
DOI
https://doi.org/10.1080/28361512.2026.2737627
Primary Topic
Epigenetics and DNA Methylation
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article
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article

Loss of MUC1 methylation haplotype complexity defines a distinct epigenetic architecture in clear cell renal cell carcinoma

Toshiaki Akahane, Taiji Hamada, Tatsuhiko Furukawa, Hirofumi Yoshino et al.
Epigenetics Reports
Epigenetics and DNA Methylation
article

Loss of MUC1 methylation haplotype complexity defines a distinct epigenetic architecture in clear cell renal cell carcinoma

Toshiaki Akahane, Taiji Hamada, Tatsuhiko Furukawa, Hirofumi Yoshino, Akihide Tanimoto, Hideki Enokida, Seiya Yokoyama, Ikumi Kitazono, Kei Matsuo, Ikumi Fukuda
article en

Abstract

Clear cell renal cell carcinoma (ccRCC) harbours recurrent epigenetic alterations, but locus-specific DNA methylation haplotype architecture remains poorly defined. Conventional methylation analyses report average methylation levels and cannot resolve CpG arrangements on individual DNA molecules. We investigated whether MUC1 promoter methylation haplotypes differ between neoplastic and adjacent non-neoplastic renal tissues. We performed bisulfite amplicon sequencing of the MUC1 promoter in 53 paired neoplastic and non-neoplastic ccRCC tissue regions and quantified methylation haplotypes at single-molecule resolution. Haplotype complexity was assessed using Shannon, Simpson, Chao1, and ACE indices, and tissue-associated architecture was evaluated by consensus t-SNE and PERMANOVA. MUC1 methylation haplotype composition was markedly remodelled in ccRCC. Neoplastic regions showed reduced haplotype complexity across all α-diversity indices (all p ≤ 0.001), with enrichment of unmethylated haplotypes, including 5′-UUUUUUUU-3′, and depletion of highly methylated haplotypes, including 5′-MMMMMMMM-3′. β-diversity analysis demonstrated separation between neoplastic and adjacent non-neoplastic tissue regions (PERMANOVA R2 = 0.483, p < 0.001), indicating distinct tissue-associated epigenetic architecture. Exploratory in silico pseudo-mixture analysis showed that the tissue-derived signature retained discriminatory information at low simulated fractions. These findings identify loss of MUC1 methylation haplotype complexity as a distinct epigenetic feature of ccRCC tissues and support haplotype-level profiling for dissecting cancer-associated epigenetic heterogeneity.

Epigenetics ReportsVol. 4(1)
Kagoshima University (JP), Kagoshima University Hospital (JP)
Reduced inequalities
Openalex Percentile: Top 20%
Epigenetics and DNA Methylation
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