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.

  • 2021

Conserved pan-cancer microenvironment subtypes predict response to immunotherapy

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  • 2021

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

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  • 2021

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

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  • 2021

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

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  • 2021

Analytical and clinical validation of the BostonGene tumor portrait assay

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  • 2021

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

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  • 2021

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

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  • 2021

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

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  • 2021

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

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  • 2021

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

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