Project description:Analysis of 143 formalin-fixed, paraffin-embedded (FFPE) primary breast tumors using a Custom Breast Cancer Panel and Human Cancer Panel for the DASL platform. Molecular markers between the pathology defined subtypes of breast cancer were assessed to hypothesize potential therapeutic targets specific to the subtypes Molecular Characterization of 143 primary breast carcinomas including 101 triple negative (TN: ER-, PR-, HER2-), 3 HER2-positive (HER2+: ER-, PR-, HER2+), and 39 hormone receptor-positive (HR+: ER+ and/or PR+)
Project description:Analysis of 97 formalin-fixed, paraffin-embedded (FFPE) primary breast tumors using Illumina DASL microarray technology on a Custom Breast Cancer Panel and the Illumina Human Cancer Panel. Molecular markers between the pathology defined subtypes of breast cancer were assessed to hypothesize potential therapeutic targets specific to the subtypes Molecular Characterization of 97 primary breast tumor formalin-fixed, paraffin-embedded (FFPE) specimens including 24 triple negative (TN: ER-, PR-, HER2-), 9 HER2-positive (HER2+: ER-, PR-, HER2+), and 64 hormone receptor-positive (HR+: ER+ and/or PR+). 91 of the 97 specimens were characterized on the Illumina Human Cancer DASL Panel and 86 of 97 specimens were characterized on a custom Breast Cancer DASL Panel, 80 of these specimens were common to both the Human Cancer DASL Panel and the custom Breast Cancer DASL Panel.
Project description:Transcriptomics analyses to study the effect of the imidazopyridine X15695 on proliferation of estrogen receptor positive (ER+) breast and androgen receptor positive (AR+) prostate cancer cells. The effect of X15695 was analyzed on vehicle or steroid hormone-treated breast and prostate cancer cells.
Project description:The diverse clinical outcomes of prostate cancer have led to the development of gene signature assays predicting disease progression. Improved prostate cancer progression biomarkers are needed as current RNA biomarker tests have varying success for high-risk prostate cancer. Interest grows in universal gene signatures for invasive carcinoma progression. Early breast and prostate cancers share characteristics, including hormone dependence and BRCA1/2 mutations. Given the similarities in the pathobiology of breast and prostate cancer, we utilized the NanoString BC360 panel, comprising the validated PAM50 classifier and pathway-specific signatures associated with general tumor progression as well as breast cancer-specific classifiers. This retrospective cohort of primary prostate cancers (n=53) was stratified according to biochemical recurrence status and the CAPRA-S to identify genes related to high-risk disease
Project description:Early detection of recurrence by using specific biomarkers is still a clinically unmet need although methodologies for monitoring tumor markers, cell-free DNA and circulating tumor cells have been established for decades. Because recurrence is developed from metastatic or dormant cancer cells that are under immune surveillance, alteration in the population and function of immune cells may promote recurrence. In this study, we utilized an animal model to imitate breast tumor recurrence after surgical resection and investigated the abundance and gene expression profile of immune cells by using two NanoString Panels. Our results showed that myeloid-derived-suppressor cells (MDSC) were significantly increased during recurrence. Comparison of our NanoString data with a single-cell RNA sequencing dataset of MDSC in another spontaneous breast cancer model identified colony-stimulating factor 3 receptor (Csf3r)-positive MDSC as a potential marker to predict tumor recurrence. In vitro experiments demonstrated that Csf3R+ MDSC exhibited enhanced ROS levels and stronger T cell suppression ability. Furthermore, these findings were validated in two published PBMC databases.
Project description:Early detection of recurrence by using specific biomarkers is still a clinically unmet need although methodologies for monitoring tumor markers, cell-free DNA and circulating tumor cells have been established for decades. Because recurrence is developed from metastatic or dormant cancer cells that are under immune surveillance, alteration in the population and function of immune cells may promote recurrence. In this study, we utilized an animal model to imitate breast tumor recurrence after surgical resection and investigated the abundance and gene expression profile of immune cells by using two NanoString Panels. Our results showed that myeloid-derived-suppressor cells (MDSC) were significantly increased during recurrence. Comparison of our NanoString data with a single-cell RNA sequencing dataset of MDSC in another spontaneous breast cancer model identified colony-stimulating factor 3 receptor (Csf3r)-positive MDSC as a potential marker to predict tumor recurrence. In vitro experiments demonstrated that Csf3R+ MDSC exhibited enhanced ROS levels and stronger T cell suppression ability. Furthermore, these findings were validated in two published PBMC databases.