Biology subjects

McAllister, S. S.

Publications and source records attributed to McAllister, S. S..

3 recordsLinked to original sources

bioRxiv2025

Platelet-Mediated Suppression of T Cell Function Drives Immune Evasion in Triple Negative Breast Cancer through the P-Selectin / PSGL-1 Pathway

Immune checkpoint inhibitors (ICIs) have demonstrated clinical promise in triple-negative breast cancer (TNBC), yet their effectiveness is often limited by acquired resistance and immune refractoriness. This underscores the urgent need to improve strategies that restore or enhance anti-tumor immunity. Platelets--long recognized for their role in hemostasis--have emerged as key immunomodulators in cancer by interacting with circulating tumor cells, shielding them from sheer stress and immune clearance while actively promoting immune evasion. Here, we uncover a previously unrecognized immunoregulatory pathway whereby platelet-derived P-selectin engages P-selectin glycoprotein ligand-1 (PSGL-1) on T cells, triggering immunosuppressive signaling and promoting T-cell exhaustion. This interaction, identified using in vitro co-culture systems and validated in in vivo mouse models of TNBC, reveals a targetable form of platelet-mediated immune suppression that contributes to ICI resistance. PSGL-1, traditionally known for mediating leukocyte trafficking, functions here as an immune checkpoint receptor, further underscoring the therapeutic relevance of this axis. Together, our findings highlight the P-selectin-PSGL-1 interaction as a novel and targetable mechanism of immune evasion and provide preclinical evidence that its disruption may enhance ICI responsiveness and improve outcomes in TNBC. Key PointsO_LITumor-associated platelets (TAPs) exhaust T-cells through P-selectin/P-selectin glycoprotein ligand-1 binding C_LIO_LIPharmaceutical blockade of P-selectin using Crizanlizumab, prevents exhaustion and allows T-cell function C_LI

cancer biology↗

bioRxiv2024

An estrogen receptor signaling transcriptional program linked to immune evasion in human hormone receptor-positive breast cancer

T cells are generally sparse in hormone receptor-positive (HR+) breast cancer, potentially due to limited antigen presentation, but the driving mechanisms of low T cell abundance remains unclear. Therefore, we defined and investigated programs ( gene modules), related to estrogen receptor signaling (ERS) and immune signaling using bulk and single-cell transcriptome and multiplexed immunofluorescence of breast cancer tissues from multiple clinical sources and human cell lines. The ERS gene module, dominantly expressed in cancer cells, was negatively associated with immune-related gene modules TNF/NF-{kappa}B signaling and type-I interferon (IFN-I) response, which were expressed in distinct stromal and immune cell types, but also, in part, expressed and preserved as a cancer cell-intrinsic mechanisms. Spatial analysis revealed that ERS strongly correlated with reduced T cell infiltration, potentially due to its association with suppression of TNF/NF-{kappa}B-induced angiogenesis and IFN-I-induced HLA expression in macrophages. Preoperative endocrine therapy in ER+/HER2-breast cancer patients produced better responses in ERS-high patients, with TNF/NF-{kappa}B expression associated with reduced ERS. Targeting these pathways may enhance T cell infiltration in HR+ breast cancer patients. Statement of SignificanceThis study elucidates the immunosuppressive role of ER signaling in breast cancer, highlighting a complex interplay between cancer, stromal, and immune cells and reveals potential approaches to enhance immunogenicity in HR+ breast cancer. These findings offer crucial insights into immune evasion in breast cancer and identify strategies to enhance T cell abundance.

cancer biology↗

bioRxiv2021

SunCatcher: Clonal Barcoding with qPCR-Based Detection Enables Functional Analysis of Live Cells and Generation of Custom Combinations of Cells for Research and Discovery

Over recent decades, cell lineage tracing, clonal analyses, molecular barcoding, and single cell "omic" analysis methods have proven to be valuable tools for research and discovery. Here, we report a clonal molecular barcoding method, which we term SunCatcher, that enables longitudinal tracking and retrieval of live barcoded cells for further analysis. Briefly, single cell-derived clonal populations are generated from any complex cell population and each is infected with a unique, heritable molecular barcode. One can combine the barcoded clones to recreate the original parental cell population or generate custom pools of select clones, while also retaining stocks of each individual barcoded clone. We developed two different barcode deconvolution methods: a Next-Generation Sequencing method and a highly sensitive, accurate, rapid, and inexpensive quantitative PCR-based method for identifying and quantifying barcoded cells in vitro and in vivo. Because stocks of each individual clone are retained, one can analyze not only the positively selected clones but also the negatively selected clones result from any given experiment. We used SunCatcher to barcode individual clones from mouse and human breast cancer cell lines. Heterogeneous pools of barcoded cells reliably reproduced the original proliferation rates, tumor-forming capacity, and disease progression as the original parental cell lines. The SunCatcher PCR-based approach also proved highly effective for detecting and quantifying early spontaneous metastases from orthotopic sites that would otherwise have not been detected by conventional methods. We envision that SunCatcher can be applied to any cell-based studies and hope it proves a useful tool for the research community.

cancer biology↗