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Rozek, L.

Publications and source records attributed to Rozek, L..

2 recordsLinked to original sources

Splicing of HPV16 E6 promotes aggressive invasion in oropharyngeal cancer via endocytosis of E-cadherin

Human papillomavirus-positive oropharyngeal squamous cell carcinoma (HPV+ OPSCC) has become the most common HPV-associated cancer in developed countries, yet a significant subset of patients develops recurrence despite favorable treatment responses. Biomarkers that identify aggressive tumors at diagnosis are therefore needed. In HPV+ cancers, the viral E6 transcript can be expressed as two main variants, the full-length isoform (E6FL) and the spliced E6*I isoform. Here, we investigated the functional and clinical impact of E6FL and E6*I in HPV+OPSCC. Across multiple preclinical models, E6*I promoted migration and aggressive invasion relative to E6FL and was associated with redistribution of E-cadherin away from the cell membrane. In multi-institutional patient cohorts, a previously developed E6FL:E6ALL influence score, which captures E6 splicing-associated host transcriptional biology, was associated with clinical outcomes. Lower scores, reflecting greater E6*I impact, were associated with worse overall survival and recurrence-free survival. Multiplexed immunofluorescence of 75 primary pretreatment biopsies further showed that a lower influence score was linked to reduced membrane and increased cytoplasmic localization of E-cadherin, while a tissue-based E-cadherin localization score was associated with recurrence. Mechanistically, E6*I overexpression promotes E-cadherin internalization, likely through the Rab11-associated trafficking pathway. Splice-switching oligonucleotides that shifted endogenous E6 splicing toward E6FL reduced invasion in two HPV+ OPSCC models. Together, these findings position HPV E6 splicing as a regulatory axis underlying aggressive HPV+ OPSCC biology and support E6 splicing and membrane-to-cytoplasmic ECAD localization as candidate risk-stratification biomarkers.

cancer biology↗

Heterogeneity of normal human breast stem and progenitor cells as revealed by transcriptional profiling

During development and pregnancy, the human mammary gland undergoes extensive remodeling in processes driven by populations of stem and progenitor cells. We recently reported that breast cancers are also hierarchically organized and driven by distinct populations of cancer stem cells characterized as CD44+CD24low/- or by expression of Aldehyde dehydrogenase (ALDH). These sets of markers identify largely non-overlapping mesenchymal and epithelial populations, each of which is capable of tumor initiation when transplanted into immunosuppressed mice. Less is known about these two populations, individually or their overlap, in the normal human mammary gland. The goal of this study was to understand the biology of the ALDH+ and CD44+CD24- populations in the normal human breast, using flow cytometry based sorting paired with functional ex vivo analyses, RNA-sequencing, and single cell RNA expression profiling. ALDH+ cells and ALDH-CD44+CD24- cells, generally, have epithelial-like and mesenchymal-like characteristics, respectively. Despite this, there are substantial similarities in the biological pathways activated in both populations when compared to differentiated cells. Additionally, we found a substantial proportion of cells that simultaneously express ALDH+ and CD44+CD24- whose abundance varies between individuals. At the single cell level, these cells have the greatest mammosphere forming capacity and express high levels of stemness and EMT-associated genes including ID1, SOX2, TWIST1, and ZEB2. Through unbiased analysis of individual ALDH+ cells, we find cells with either epithelial or mesenchymal expression phenotypes. We also identify a subpopulation of cells with a hybrid epithelial/mesenchymal expression phenotype that overexpress genes associated with aggressive triple negative breast cancers. These results highlight the utility of single cell analyses to characterize tissue heterogeneity, even in marker enriched cell populations, and further identifies the genes and pathways that define this heterogeneity.

developmental biology↗