BostonGene to Present at the 2022 San Antonio Breast Cancer Symposium – Business Wire

WALTHAM, Mass.–()–BostonGene today announced that four abstracts have been accepted for poster presentations for the 2022 San Antonio Breast Cancer Symposium (SABCS), which will be held December 6 – 9, 2022, at the Henry B. Gonzalez Convention Center in San Antonio, Texas. BostonGene will also exhibit at booth 107.

The data we will present at SABCS demonstrates the clinical utility of BostonGene‘s AI-based molecular and immune profiling and analytics to advance and optimize outcomes for cancer patients,” said Nathan Fowler, MD, Chief Medical Officer at BostonGene. “Our findings highlight the importance of a multifaceted approach to understand the composition and activity of the tumor and the microenvironment.”

Details about the abstracts selected for presentation can be found below:

Abstract Number: 1304759

Title: A molecular classification system for basal-like breast cancer based on the tumor microenvironment is prognostic for survival

Date and Time: Thursday, December 8 | 7:00 AM – 8:15 AM

Location: Poster Session 4 – Hall 1

Poster Number: P4-09-02

Speaker: Nikita Kotlov, BostonGene

Using whole-transcriptome data clustering techniques, BostonGene uncovered five distinct basal-like breast cancer molecular functional portraits prognostic for survival using gene signatures from the tumor microenvironment.

Abstract Number: 1310282

Title: An HRD scoring system based on long-focal copy number alterations predictive of PARP inhibitor response

Date and Time: Thursday, December 8 | 5:00 PM – 6:15 PM

Location: Poster Session 5 – Hall 1

Poster Number: P5-02-45

Speaker: Nikita Kotlov, BostonGene

BostonGene developed and validated a new homologous recombination deficiency (HRD) scoring system for breast cancer patients. This novel HRD score, which uses long-focal copy number alterations and ploidy rather than relying on germline mutations in the homologous recombination pathway, was predictive of PARP inhibitor response.

Abstract Number: 1310386

Title: AI-based prediction of tertiary lymphoid structures and lymphocyte immune infiltration in breast carcinomas

Date and Time: Friday, December 9 | 7:00 AM – 8:15 AM

Location: Poster Session 6 – Hall 1

Poster Number: P6-04-15

Speaker: Ekaterina Postovalova, PhD, BostonGene

Leveraging a convolutional neural network, BostonGene trained and validated an image analysis platform capable of detecting tertiary lymphoid structures and the lymphocyte immune-infiltrated area on breast carcinoma H&E slides. This AI-based approach may be used to automate the traditional pathology workflow.

Abstract Number: 1310481

Title: TRK inhibitor in a patient with metastatic triple-negative breast cancer and NTRK fusions identified via cell-free DNA analysis.

Date and Time: Thursday, December 8 | 5:00 PM – 6:15 PM

Location: Poster Session 5 – Hall 1

Poster Number: P5-02-13

Speaker: Jennifer C. Keenan, Mass General Cancer Center

In this case report, BostonGene’s Tumor Portrait next-generation sequencing test provided orthogonal validation for two NTRK fusions, including one novel fusion, detected by cell-free DNA analysis in a metastatic triple-negative breast cancer patient.

Research conducted with Mass General Cancer Center

For more information, please visit the 2022 San Antonio Breast Cancer Symposium website. The abstracts will be published in the Abstracts2Viewonline database at the conclusion of the symposium.

About BostonGene Corporation

BostonGene’s mission is to power healthcare’s transition to personalized medicine using our AI-based molecular and immune profiling to improve the standard of care, accelerate research, and improve economics. BostonGene Tumor Portrait Tests reveal key drivers of each tumor, including immune microenvironment properties, actionable mutations, biomarkers of response to diverse therapies, and recommended therapies. Through these comprehensive analyses, BostonGene Tumor Portrait Tests generate a personalized roadmap for therapeutic decision-making for each cancer patient. For more information, visit BostonGene at

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