Scientific Publications

The landmark research of BostonGene underscores the importance of combining innovative multi-platform analytics with cutting-edge software to improve patient outcomes. Explore our scientific publications to learn more.

Conserved pan-cancer microenvironment subtypes predict response to immunotherapy

Diagnostic Utility of RNA-Seq for Evaluation of PD-L1 Expression in Clear Cell Renal Cell Carcinoma

Lack of intrafollicular memory CD4 + T cells is predictive of early clinical failure in newly diagnosed follicular lymphoma

The development of a computational machine learning tool to decipher malignant cell gene expression from complex tumor tissue

Analytical and clinical validation of the BostonGene tumor portrait assay

Neoantigen vaccination induces clinical and immunologic responses in non-small cell lung cancer patients harboring EGFR mutations

Tumor immune microenvironment based molecular functional clustering reveals a prognostic signature that predicts overall survival in patients with gastric cancer

Predictors of treatment response in a preoperative window of opportunity trial of nivolumab in resectable squamous cell carcinoma of the head and neck

MutAnt: Mutation annotation machine learning algorithm for pathogenicity evaluation of single nonsynonymous nucleotide substitutions in cancer cells

Evaluating the clinical utility of RNA-seq-based PD-L1 expression and cellular deconvolution as alternatives to conventional immunohistochemistry in clear cell renal cell carcinoma