Publications by authors named "E E Storrs"
To study the spatial interactions among cancer and non-cancer cells, we here examined a cohort of 131 tumour sections from 78 cases across 6 cancer types by Visium spatial transcriptomics (ST). This was combined with 48 matched single-nucleus RNA sequencing samples and 22 matched co-detection by indexing (CODEX) samples. To describe tumour structures and habitats, we defined 'tumour microregions' as spatially distinct cancer cell clusters separated by stromal components.
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- Breast cancer (BC) has distinct molecular subtypes influenced by different cell origins, yet the transcriptional networks for these subtypes are not well understood.
- This study utilized advanced techniques on 61 samples from 37 BC patients to reveal how gene expression and chromatin accessibility connect BC subtypes to their likely cells of origin.
- Key transcription factors BHLHE40 and KLF5 were found to play crucial roles in luminal and basal-like tumors, respectively, and exhausted CD8 T cells were linked to immune dysfunction in basal-like BC, showcasing the potential of single-cell level analysis in understanding cancer lineages.
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- Despite extensive research on genomic changes in glioblastoma, the survival rate remains under 5% after five years.
- This study aims to broaden the understanding of high-grade glioma by combining various biological analyses (proteomics, metabolomics, etc.) to identify complex regulatory mechanisms involved in tumor growth and progression.
- Results from analysis of 228 tumors indicate significant variability in early-stage changes, but they converge on common outcomes affecting protein interactions and modifications, highlighting PTPN11's crucial role in high-grade gliomas.
Breast cancer is a heterogeneous disease, and treatment is guided by biomarker profiles representing distinct molecular subtypes. Breast cancer arises from the breast ductal epithelium, and experimental data suggests breast cancer subtypes have different cells of origin within that lineage. The precise cells of origin for each subtype and the transcriptional networks that characterize these tumor-normal lineages are not established.
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- Researchers identified 25 different cell states, focusing on those linked to aggressive disease and poor prognosis, including specific immune cells and cancer-associated fibroblasts (CAFs).
- The findings highlight the relationship between the composition of the TME, stemness in malignant cells and CAFs, and patient survival, suggesting potential for improved risk assessment and personalized treatment strategies.