On June 1, 2023 BostonGene reported that four abstracts have been accepted for poster presentations and two abstracts have been accepted for online publication for the 2023 ASCO (Free ASCO Whitepaper) Annual Meeting (ASCO) (Free ASCO Whitepaper), which will be held June 2 – 6, 2023, at McCormick Place Convention Center in Chicago, IL (Press release, BostonGene, JUN 1, 2023, View Source [SID1234632374]). BostonGene will also exhibit at booth 28155.

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"We look forward to sharing results from our research analyzing genomic and transcriptomic classifications and our analysis demonstrating the added benefit of comprehensive genomic profiling in a thousand diverse cancer patients at the 2023 ASCO (Free ASCO Whitepaper) Annual Meeting. These presentations reflect our scientific expertise and commitment to bringing innovative solutions into clinical practice," said Nathan Fowler, MD, Chief Medical Officer at BostonGene.

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

Abstract Number: 3076
Title: Aggregated analysis of 1,000 patients with cancer to assess the benefits of integrated whole exome and whole transcriptome sequencing
Date and Time: Saturday, June 3 | 8:00 AM – 11:00 AM CT
Location: McCormick Place Convention Center
Poster Number: 274
Speaker: Anna Ogloblina, PhD, BostonGene

The deep interrogation of BostonGene’s comprehensive approach to molecular profiling demonstrates the advantages of integrated RNA sequencing (RNA-seq) and whole exome sequencing (WES) analysis, including an increase in clinically significant biomarkers and matched clinical trials, which can ultimately lead to more effective personalized treatments for cancer patients.

Abstract Number: 11547
Title: Novel genomic alterations and transcriptomic-based tumor microenvironment classification of sarcoma and their impact on treatment decision-making
Date and Time: Saturday, June 3 | 1:15 PM – 4:15 PM CT
Location: McCormick Place Convention Center
Poster Number: 481
Speaker: Krystle Nomie, PhD, BostonGene

This presentation demonstrates the ability of the BostonGene’s Tumor PortraitTM test to identify genomic alterations and classify tumor microenvironment (TME) subtypes of sarcomas that ultimately provide insights on potential immunotherapy and specific gene-related treatment strategies.

Research conducted in collaboration with The University of Texas MD Anderson Cancer Center

Abstract Number: 579
Title: Differential genomic and transcriptomic analysis of invasive lobular and ductal carcinomas
Date and Time: Sunday, June 4 | 8:00 AM – 11:00 AM
Location: McCormick Place Convention Center
Poster Number: 409
Speaker: Jason Mouabbi, MD, MD Anderson

In this study, the use of BostonGene’s integrated analysis platform provided an in-depth understanding of the molecular differences between two breast cancer subtypes, invasive lobular carcinoma (ILC) and invasive ductal carcinoma (IDC), revealing mechanistic insights for both subtypes that can be used to tailor ILC-specific interventional clinical trials.

Abstract Number: 1039
Title: Genomic characterization of the GATA3 mutational landscape in breast cancer
Date and Time: Sunday, June 4 | 8:00 AM – 11:00 AM
Location: McCormick Place Convention Center
Poster Number: 260
Speaker: Jason Mouabbi, MD, MD Anderson

This presentation highlights the use of integrated genomic and transcriptomic analysis to understand further the mutational landscape of GATA3, a broadly used biomarker in breast cancer, to guide future prospective clinical studies.

Online publication abstracts:

Abstract Number: e15058
Title: RNA sequencing as a confirmatory assay and its impact on patient care in multiple cancer types

This presentation describes the advantage of RNA sequencing (RNA-seq) to confirm the pathological detection of biomarkers, demonstrating the utility of RNA-seq analysis to drive treatment decisions in 4 cancer types.

Research conducted in collaboration with Weill Cornell Medicine, Englander Institute of Precision Medicine, MD Anderson, Oncology Consultants, and Cancer Centers of South Florida

Abstract Number: e14691
Title: Tumor immunity portrait: An AI-driven molecular predictor combining tumor microenvironment and tumor mutational burden for immune checkpoint inhibitor response prediction

This study highlights the ability of BostonGene’s Tumor Immunity PortraitTM, an integrated approach combining the tumor’s characteristics and TME, to provide an accurate prediction of ICI non-response in 3 cancer types for personalized treatment decision-making.

For more information, please visit the 2023 ASCO (Free ASCO Whitepaper) Annual Meeting website. The abstracts will be published online in the Journal of Clinical Oncology supplement for the ASCO (Free ASCO Whitepaper) Annual Meeting Proceedings.