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Spatially distinct cellular and molecular landscapes define prognosis in triple negative breast cancer [1]

ABSTRACT: Triple-negative breast cancer is a prevalent breast cancer subtype with the lowest 5-year survival. Several factors contribute to its treatment response, but the inherent molecular and cellular tumor heterogeneity are increasingly acknowledged as crucial determinants. Here we report on the spatial and molecular heterogeneity underlying a retrospective, treatment-naïve group of women with differential prognoses (17 with >15 years survival- good prognosis (GPx) and 15 with <3 years survival-poor prognosis (PPx)) profiled using GeoMX® DSP. Analyses revealed that the state of epithelia and its microenvironment (TME) are transcriptionally distinct between the two groups. Invasive epithelia in GPx shows a significant increase in immune transcripts, with the TME exhibiting increased immune cell presence (via IF). PPx epithelia, in contrast, are more metabolically and translationally active, with the TME being more mesenchymal/fibrotic. Notably, pre-cancerous epithelia in PPx display a prescience of aggressiveness, as evidenced by increased EMT-signaling. We identify distinct epithelial gene signatures for PPx and GPx, that can, with high accuracy, classify samples at the time of diagnosis and are likely to inform therapy.

ORGANISM(S): synthetic construct Homo sapiens

PROVIDER: GSE295858 | GEO | 2025/12/19

REPOSITORIES: GEO

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Spatially distinct cellular and molecular landscapes define prognosis in triple negative breast cancer [2]

Project description:Triple-negative breast cancer is a prevalent breast cancer subtype with the lowest 5-year survival. Several factors contribute to its treatment response, but the inherent molecular and cellular tumor heterogeneity are increasingly acknowledged as crucial determinants. Here we report on the spatial and molecular heterogeneity underlying a retrospective, treatment-naïve group of women with differential prognoses (17 with >15 years survival- good prognosis (GPx) and 15 with <3 years survival-poor prognosis (PPx)) profiled using GeoMX® DSP. Analyses revealed that the state of epithelia and its microenvironment (TME) are transcriptionally distinct between the two groups. Invasive epithelia in GPx shows a significant increase in immune transcripts, with the TME exhibiting increased immune cell presence (via IF). PPx epithelia, in contrast, are more metabolically and translationally active, with the TME being more mesenchymal/fibrotic. Notably, pre-cancerous epithelia in PPx display a prescience of aggressiveness, as evidenced by increased EMT-signaling. We identify distinct epithelial gene signatures for PPx and GPx, that can, with high accuracy, classify samples at the time of diagnosis and are likely to inform therapy.

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Project description:Triple-negative breast cancer represents approximately 15–20% of all reported breast cancer cases, and is characterized by a shorter survival time and higher mortality rates compared to other breast cancer sub-types. Tumor microenvironment (TME) refers to the internal and external environment of tumor tissue. Increasing evidence indicates that a tumor’s microenvironment is tightly associated with the immunological surveillance and defense during the development of breast cancer. Although oncology studies employing digital dissection methodologies have provided some insight on the biological features of TME, the development of methods to investigate the cellular composition of the tumor microenvironment remain an important research priority. In this study, we extracted whole transcriptome from 30 Triple-negative breast cancer (TNBC) patients and then used bioinformatics approaches to characterize cell type content in tumor tissue compared with para-cancerous tissue. We identified 4 types of enriched immune cells and 6 types of downregulated immune cells in the tumor tissue samples. After comprehensive bioinformatics analyses, we developed an ‘immune infiltration score’ (IIS) to quantitatively model immune cell infiltration in TNBC. To demonstrate the utility of the IIS, we used 2 independent datasets for validation. We found that patients with a higher IIS showing a longer progression-free survival time and significantly better prognosis than those with a lower IIS value. In sum, we explored the immune infiltration landscape in 30 TNBC patients and provided a novel and reliable biomarker IIS to evaluate the progression-free survival and prognosis in the TNBC patients.

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DNA methylome and transcriptome landscapes of cancer-associated fibroblasts reveal a smoking-associated malignancy index

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