Kimberly Rae Jordan

The paper identifies a transcriptomic signature predicting stromal innervation in NMIBC and links it to clinical outcomes.

This paper integrates multiple transcriptomics assays to identify cancer biomarkers, finding GBP4 as a predictor of recurrence and immune remodeling.

This study investigates the predictability of progression-free survival in ovarian cancer using NanoString gene expression data from pre- and post-chemotherapy samples, finding low predictability and suggesting the need for larger datasets.

This study identifies an EZH2 variant associated with immunodeficiency and shows it impairs PRC2 function by disrupting H3K27me3 methylation at specific genomic regions.

This study shows that ablating hematopoietic stem cell-derived adipocytes reduces tumor burden in mouse models of high-grade serous carcinoma through metabolic and immune mechanisms.

The paper uses spatial data from ovarian cancer tumors to show that spatial organization of the immune microenvironment correlates with patient outcomes and can predict treatment response.

This study maps the SCLC tumor microenvironment and identifies cancer-associated fibroblasts as key drivers of neuroendocrine state plasticity and poor prognosis.

The paper introduces a platform-independent preprocessing framework for multiplex tissue imaging data to improve cross-platform consistency and reliability.

The paper introduces a spatial and functional analytic approach to model the impact of tumor-stromal cell interactions on survival in cancer patients using imaging data.