BostonGene Announces Seven Abstract Acceptances at the 2024 American Society of Clinical Oncology Annual Meeting

On May 29, 2024 BostonGene, a leading provider of AI-driven molecular and immune profiling solutions, reported that seven abstracts have been accepted for the 2024 ASCO (Free ASCO Whitepaper) Annual Meeting (ASCO) (Free ASCO Whitepaper), scheduled to take place May 31 – June 3, 2024, at McCormick Place Convention Center in Chicago, IL (Press release, BostonGene, MAY 29, 2024, View Source [SID1234643826]). BostonGene will deliver one oral presentation and present two posters, while four abstract presentations will be available online. BostonGene will also exhibit at booth 22157.

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At the event, BostonGene will feature its AI-powered multiomics platform that rapidly accelerates new research and drug development while precisely matching each patient with the best available therapy.

BostonGene will also highlight its recently announced immune system profiling platform, a novel classification method and a scoring system based on this classification of systemic immunity with patient responses to various cancer treatments. This diagnostic and analytical immune system profiling framework underscores the potential of a straightforward blood test, supported by additional clinical validation, as a tool to stratify cancer patients into responders and non-responders across different treatments.

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

Oral presentation

Abstract: 2015
Title: A phase Ib, window-of-opportunity study of neoadjuvant avelumab and hypofractionated proton beam therapy for recurrent radiation-relapsed meningioma
Date and time: Sunday, June 2, 2024 | 11:30 AM – 1:00 PM
Speaker: Jiayi Huang, MD, Washington University School of Medicine

This study evaluated the immunological effects of combining avelumab, an anti-PD-L1 inhibitor, with radiation therapy (RT) for recurrent radiation-relapsed meningioma. The use of RNA-seq and MxIF on pre- and post-avelumab tumor tissues revealed that for some patients the combination (avelumab + RT) may cause an immunological response leading to prolonged remission, warranting further larger prospective studies and biomarker investigations.

Research done in collaboration with the Washington University School of Medicine

Poster presentations

Abstract: 11523
Title: Transcriptomic analysis of novel tumor suppressor gene fusions in bone sarcomas
Date and time: Saturday, June 1, 2024 | 1:30 PM – 4:30 PM
Poster: 449
Speaker: Nikita Kotlov, BostonGene

Transcriptomic analysis of treated bone sarcomas revealed a unique breakpoint combination in an oncogene and previously unknown gene fusions involving tumor suppressor genes. These findings highlight the importance of RNA-seq to advance research and identify potential biomarkers for sarcomas.

Research done in collaboration with The University of Texas MD Anderson Cancer Center, Massachusetts General Hospital Cancer Center and the Sarcoma Oncology Center

Abstract: 1044
Title: The multiomic tumor microenvironment landscape of invasive lobular carcinoma of the breast
Date and time: Sunday, June 2, 2024 | 9:00 AM – 12:00 PM
Poster: 22
Speaker: Jason Mouabbi, MD, The University of Texas MD Anderson Cancer Center

Multiomic analysis using integrated RNA-seq and MxIF uncovered the intricate heterogeneity of the tumor microenvironment (TME) in invasive lobular carcinoma (ILC) of the breast, emphasizing the critical role of comprehensive TME profiling to understand and develop personalized treatments for ILC.

Research done in collaboration with MD Anderson Cancer Center

Online-only abstracts

Abstract: e13168
Title: Closing classification gaps in luminal breast cancer with single-cell RNA-seq insights from normal breast lineages

In this study, single-cell RNA-seq was used to investigate the connection between breast cancer classification and luminal expression profiles. The findings showed that compared to other breast cancer subtypes, luminal breast cancers are less similar to most luminal epithelial clusters in normal breast tissue, which suggests that the complexity of luminal-type breast cancers is not captured by traditional breast cancer classification methods.

Abstract: e15138
Title: Integrated genomic and transcriptomic characterization of neuroendocrine carcinomas for improved treatment decision-making

Integrated whole exome (WES) and RNA sequencing (RNA-seq) detected unique molecular features across diverse neuroendocrine tumors, indicating the potential use of comprehensive molecular profiling for therapy and clinical trial matching to improve outcomes for neuroendocrine carcinoma (NEC) patients.

Research conducted in collaboration with Advanced Cancer Treatment Centers, Mayo Clinic and Duke Cancer Institute

Abstract: e13593
Title: An unsupervised H&E-based machine-learning approach for precise prediction of tumor microenvironment subtypes.

This study describes the development of an H&E-based machine-learning approach using colorectal cancer (CRC) samples. The results show that the H&E-based approach complements next-generation sequencing (NGS) tumor microenvironment (TME) classification, suggesting that the advanced image analysis can help refine prognostic and therapeutic strategies for CRC and warrant further expansion to other cancer types.

Abstract: e15086
Title: Effect of DeltaRex-G ± DeltaRex-G Plus (an FDA-approved drug) on advanced chemoresistant pancreatic cancer, sarcoma, and breast cancer

This study investigated the use of DeltaRex-G, a CCNG1 inhibitor, administered either alone or in combination with an FDA-approved drug (DeltaRex-G Plus) in advanced cancers. RNA sequencing identified enhanced CCNG1 expression in all analyzed tumors and analysis showed that the five patients treated with DeltaRex-G Plus had a partial response or stable disease, supporting the use of DeltaRex-G Plus as a promising therapy.

Research conducted in collaboration with City of Hope Comprehensive Cancer Center, Sarcoma Oncology Center, Duke University and Expression Therapeutics

For more information, please visit the 2024 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.

Median Technologies to Participate in the 2024 ASCO Annual Meeting, May 31 – June 4, 2024, McCormick Place, Chicago, IL, USA

On May 29, 2024 Median Technologies (FR0011049824, ALMDT, PEA/PME scheme eligible, "Median" or "The Company") reported that the Company will be participating in the 2024 American Society of Clinical Oncology (ASCO) (Free ASCO Whitepaper) Annual Meeting taking place from May 31 to June 4, McCormick Place, Chicago, IL, USA (Press release, MEDIAN Technologies, MAY 29, 2024, View Source;June-4-2024-McCormick-Place-Chicago-IL-USA [SID1234643825]). The Median team, with iCRO and eyonis representatives will be pleased to welcome the ASCO (Free ASCO Whitepaper) participants at booth #15142, South Building, Hall A, McCormick place, from June 1 to 3 (exhibition dates), from 9:00 am to 5:00 pm.

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Median Technologies’ abstract selected for online publication is available on the ASCO (Free ASCO Whitepaper) platform:

Abstract #e23010: Double reading performance and the impact of adjudication on progression-free survival estimations: Findings from a lung clinical trial
The FDA recommends Blinded Independent Central Review (BICR) with double reads for imaging in clinical trials, but inter-reader variability raises concerns. Our study examined this variability in lung cancer clinical trials using RECIST. We analyzed 5 phase III trials with 7 readers forming 11 teams, covering 1,017 patients. The study focused on Discrepancy Rate (DR), bias, endorsement rate, and the impact of adjudication on Progression-Free Survival (PFS) estimates. Results showed significant bias among readers, affecting double readings but no correlation between bias and DR. Additionally, adjudication significantly affects PFS estimates. These outcomes highlight the need to improve monitoring in clinical trials.

The ASCO (Free ASCO Whitepaper) Annual Meeting is the world’s premier oncology conference, organized by the American Society of Clinical Oncology (ASCO) (Free ASCO Whitepaper), the largest oncology society in the world. Each year, the ASCO (Free ASCO Whitepaper) conference brings together more than 35,000 oncologists from all around the globe, and is attended by all medical, educational and industrial stakeholders involved in the field of oncology worldwide. More about the ASCO (Free ASCO Whitepaper) Annual Meeting: View Source

Kezar Life Sciences to Participate in the Jefferies Global Healthcare Conference

On May 29, 2024 Kezar Life Sciences, Inc. (Nasdaq: KZR), a clinical-stage biotechnology company developing novel small molecule therapeutics to treat unmet needs in immune-mediated diseases and cancer, reported that Chris Kirk, Co-founder and Chief Executive Officer, will participate in a fireside chat at the Jefferies Global Healthcare Conference on Wednesday, June 5, 2024, at 12:30 pm ET in New York, NY (Press release, Kezar Life Sciences, MAY 29, 2024, View Source [SID1234643824]).

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A webcast of the panel discussion will be available on the "Events & Presentations" section of the Company’s website at www.kezarlifesciences.com. Following the event, an archived webcast will be available on the Kezar website for 90 days.

Nuvation Bio to Present at the Jefferies Global Healthcare Conference

On May 29, 2024 Nuvation Bio Inc. (NYSE: NUVB), a late clinical-stage, global biopharmaceutical company tackling some of the greatest unmet needs in oncology by developing differentiated and novel therapeutic candidates, reported that David Hung, M.D., Founder, President, and Chief Executive Officer of Nuvation Bio, will participate in a hybrid presentation at the Jefferies Global Healthcare Conference in New York, NY on Wednesday, June 5, 2024, at 1:30 p.m. ET (Press release, Nuvation Bio, MAY 29, 2024, View Source [SID1234643823]).

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A live webcast of the hybrid presentation will be available on the Nuvation Bio website at View Source An archived recording will be available for 90 days following the event.

New Publication Shows DecisionDx®-SCC Identifies High-Risk Squamous Cell Carcinoma Patients Who Are Likely to Benefit from Adjuvant Radiation Therapy and Those Who Can Consider Deferring Treatment Based on Biological Risk of Metastasis

On May 29, 2024 Castle Biosciences, Inc. (Nasdaq: CSTL), a company improving health through innovative tests that guide patient care, reported the publication of a study in the International Journal of Radiation Oncology • Biology • Physics (Red Journal) demonstrating the ability of the DecisionDx-SCC test to identify high-risk cutaneous squamous cell carcinoma (SCC) patients at the highest risk of metastasis who will benefit the most from ART to reduce metastatic disease progression, as well as high-risk patients who the test identified as having a lower risk of metastasis who may consider deferring treatment (Press release, Castle Biosciences, MAY 29, 2024, View Source [SID1234643822]). These results demonstrate the impact of the test in guiding decision-making for recommending ART.

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"Radiation may be considered for patients with more aggressive SCC tumors to reduce the risk of the cancer returning once the tumor has been removed through surgery," said Sarah T. Arron, M.D. Ph.D., lead author and board-certified dermatologist and Mohs surgeon at Peninsula Dermatology in Burlingame, California. "When relying on current risk assessment and staging systems alone, it can be very challenging to determine for which patients with high-risk SCC the benefits of radiation therapy outweigh the significant side effects and associated impacts on the patient’s quality of life.

"The study found that DecisionDx-SCC test results can assist clinicians in making these difficult decisions by identifying which patients are most likely to benefit from the treatment."

Key findings of the study (n=920 patients) include:

The DecisionDx-SCC test identified patients projected to receive the greatest benefit from ART to reduce metastatic disease progression. Patients with a Class 2B (highest metastatic risk) test result who were treated with ART had 50% higher MFS rates, on average, than Class 2B patients who did not receive ART at five years post-diagnosis.
A DecisionDx-SCC Class 2B result was the only independent risk factor that successfully identified patients who would most benefit from ART. Risk factors in the analysis included differentiation status, invasion into fat, perineural invasion and others, including National Comprehensive Cancer Network (NCCN) risk category and Brigham and Women’s Hospital and American Joint Committee on Cancer Eighth Edition T-stages.
Class 2B patients who received ART showed a significant deceleration in disease progression compared to Class 2B patients who did not receive ART. For patients with a DecisionDx-SCC Class 2B test result who were not treated with ART, there was a peak rate of metastasis around two years; Class 2B, ART-treated patients had nearly five times longer projected time to metastasis.
DecisionDx-SCC identified patients who were less likely to show a significant benefit from ART in controlling disease progression. Patients with high-risk clinicopathologic features but who received a DecisionDx-SCC Class 1 (lower metastatic risk) test result did not show a significant benefit from ART. Given the low risk of metastasis for Class 1 patients, in addition to the lower likelihood of ART benefit, Class 1 patients may consider deferring treatment.
About DecisionDx-SCC

DecisionDx-SCC is a 40-gene expression profile test that uses an individual patient’s tumor biology to stratify risk of metastasis in patients with cutaneous squamous cell carcinoma who have one or more NCCN high-risk factors. The test result, in which patients are stratified into a Class 1 (lower), Class 2A (higher) or Class 2B (highest) risk category, predicts individual metastatic risk to inform risk-appropriate management and guide decision-making regarding the use of adjuvant radiation therapy. Peer-reviewed publications have demonstrated that DecisionDx-SCC is an independent predictor of metastatic risk and that the test can significantly improve risk-stratification when used with traditional staging systems and clinicopathologic risk factors to guide risk-aligned management and treatment decisions. Learn more at www.CastleBiosciences.com.