Deep Molecular Profiling
Integrated RNA and DNA profiling provides a holistic view of the tumor, including tumor microenvironment, genetic and transcriptomic subtypes, leveraging multiple facets of the tumor to develop a clinical solution.
Investigational Treatment Options
BostonGene will identify all potential treatment options for advanced cases, based on the patient’s tumor molecular profile.
BostonGene immune status profiling of patients will be conducted by measuring hundreds of immune cellular components in the blood.
Inherited Disease Risks
BostonGene can classify inherited mutations of each patient to link to increased risk of multiple diseases, therapeutic efficacy, and increased personal toxicity.
Immunotherapy reactive cellular components of the tumor microenvironment, an important component of tumor biology and activity, will be deciphered using BostonGene AI-driven technologies.
NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines®)
BostonGene will provide patient-specific NCCN-listed regimens based on the number of evaluated predictive biomarkers, utility, level of evidence and clinical history of the patient.
Neoantigens and Vaccines
BostonGene identifies tumor-specific neoantigens and therapeutic vaccine targets to understand tumor immunogenicity and personalize vaccine therapy.
Each individual patient’s mutations are associated with potential therapeutic efficacy to identify which agents may work for each patient.
TCR/BCR Repertoire Profiling
BostonGene cancer reactive profiling of T and B cells immune cell repertoire in the tumor microenvironment in solid cancer as well as the identification of major malignant clones of T and B cells in hematological malignancies leads to a better understanding of tumor progression and evolution.
Tumor spatial architecture, which has been revealed as an important factor in therapeutic outcome, is visualized by BostonGene with multiplex immunofluorescence imaging technology.
Virus and Bacteria Infection Detection
BostonGene detects cancer-associated viral or bacterial infections as these are incredibly important for diagnostics and therapy selection.
Tumor Clonal composition is computed based on the mutational profile. Clonal composition module depicts the proportion of malignant cells sharing the same mutations (a clone) and describes clonality (the number of different malignant cells clones). Knowledge of Clonal composition enables targeting the most abundant malignant clones while taking other clones in consideration.