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Open access Aug 2026

Integrative bulk and single-cell transcriptomics identify a recurrence-prognostic risk model with exploratory associations with treatment-response phenotypes in colorectal cancer

A READ-derived response-associated gene signature for recurrence stratification and exploratory cross-cohort evaluation in additional colorectal cancer cohorts, while further exploring its association with treatment-response phenotypes.

Shuai Li, Jing-Xian Li, Xianyue Bu et al. · 0 citations
Open access Aug 2026

Integrated transcriptomic and immune-associated network analysis of breast cancer patient-derived organoids reveals candidate inflammatory biomarkers

It is suggested that IL1RAP and IRF2BP2 may be important in immune-related and candidated biomarker identification in breast cancer PDOs, and an integrated transcriptomic, enrichment and network-based analyses for a robust strategy for biomarker discovery are integrated.

S. Scippa, A. Balestrieri, M. Zanfardino et al. · 0 citations
Open access Aug 2026

miRNA-mediated metabolic reprogramming is associated with recurrence in ovarian cancer.

BACKGROUND Ovarian cancer (OC) recurrence and therapy resistance remain major clinical challenges. Identifying the molecular adaptations associated with relapse is essential for improving disease monitoring. RESEARCH DESIGN AND METHODS We performed miRNA expression profiling on tissue and serum samples obtained from...

Ece Gumusoglu-Acar, Kaan Kara, S. Topuz et al. · 0 citations
Sep 2026

Abstract A026: Bulk deconvolution analysis identifies subtype-specific methylation differences in pancreatic cancer patients

Bulk deconvolution analysis identifies subtype-specific methylation differences in pancreatic cancer patients and suggests that there are substantial epigenetic changes at the methylation level that contribute to the biological phenotypes of the PDAC subtypes not captured at the transcriptional level.

Erin E. Grundy, Margaret A. Hall, Y. Yoo et al. · 0 citations
Open access Aug 2026

Genomic subtypes inferred from clinical sequencing provide significant prognostic stratification in metastatic breast cancer

IntClust can be inferred from routine clinical sequencing and resolves survival heterogeneity not captured by ER or HER2, and reveals subtype-specific contexts for prognostic effects of the same mutation drivers, and for acquisition of ESR1 mutations.

A. Yaacov, A. Grinshpun, P. Pharoah et al. · 0 citations

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