Repare Therapeutics to Present at the 2021 Bloom Burton & Co. Virtual Healthcare Investor Conference

On April 13, 2021 Repare Therapeutics Inc. ("Repare" or the "Company") (Nasdaq: RPTX), a leading clinical-stage precision oncology company enabled by its proprietary synthetic lethality approach to the discovery and development of novel therapeutics, reported that members of its senior management team will present at the 2021 Bloom Burton & Co. Virtual Healthcare Investor Conference on Tuesday, April 20 at 9:30 a.m. ET (Press release, Repare Therapeutics, APR 13, 2021, View Source [SID1234577987]).

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A live webcast of the presentation can be accessed in the Investor section of the Company’s website at View Source A replay of the webcast will be archived on the Company’s website for 30 days.

Castle Biosciences Announces Prospective, Multi-Center Publication Demonstrating DecisionDx®-Melanoma as Significant, Independent Predictor of Patient Outcomes in Cutaneous Melanoma

On April 13, 2021 Castle Biosciences, Inc. (Nasdaq: CSTL), a skin cancer diagnostics company providing personalized genomic information to improve cancer treatment decisions, reported the publication of prospective, multi-center long-term outcomes data in cutaneous melanoma as impacted by DecisionDx-Melanoma (Press release, Castle Biosciences, APR 13, 2021, View Source [SID1234577986]). DecisionDx-Melanoma is Castle’s gene expression profile test that uses an individual patient’s tumor biology to predict risk of cutaneous melanoma metastasis or recurrence, as well as sentinel lymph node positivity, independent of traditional staging factors.

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The article, titled "Long-term outcomes in a multicenter, prospective cohort evaluating the prognostic 31-gene expression profile for cutaneous melanoma," was published in the peer-reviewed journal, JCO Precision Oncology.

Study background:

The study’s key objective was to demonstrate the prognostic value of DecisionDx-Melanoma with long-term follow-up that extends the assessment time period for a previously studied cohort. The study achieved its primary objective and expanded upon prior results to show the ability of the test to accurately identifying recurrence risk of patients with American Joint Committee on Cancer (AJCC) 8th Edition staging system early stage I-IIA disease.

Study results:

Consistent with previous prospective validation and performance studies, the DecisionDx-Melanoma test was significantly associated with the outcomes of recurrence-free (RFS), distant metastasis-free (DMFS) and overall survival (OS) in univariate analysis of patients diagnosed with stage I-III melanoma. The test’s result was also a significant, independent predictor of the same endpoints when compared to AJCC staging in multivariable analysis. Additionally, study authors conclude that combining DecisionDx-Melanoma test results with AJCC staging enhances sensitivity and negative predictive value over each approach alone, identifying those who may benefit from more or less intense follow-up. Further, accurate risk stratification by the DecisionDx-Melanoma test was demonstrated in the cohort of patients with stage I-IIA melanoma, a group that is currently recommended to receive low-intensity management but that contributes substantially to the number of patients who die from melanoma each year.

"The most impactful measures of appropriate melanoma management include survival time and the quality of that time post-diagnosis," said first author Eddy Hsueh, M.D., surgical oncologist at St. Louis University, St. Louis, MO. "In this study, we demonstrated that DecisionDx-Melanoma results are significant predictors of real-world recurrence and metastasis rates, which suggests that the test can provide clinically actionable information when making cancer management decisions in early-stage melanoma."

About DecisionDx-Melanoma

DecisionDx-Melanoma is a gene expression profile test that uses an individual patient’s tumor biology to predict individual risk of cutaneous melanoma metastasis or recurrence, as well as sentinel lymph node positivity, independent of traditional staging factors, and has been studied in more than 5,700 patient samples. Using tissue from the primary melanoma, the test measures the expression of 31 genes. The test has been validated in four archival risk of recurrence studies of 901 patients and six prospective risk of recurrence studies including more than 1,600 patients. To predict likelihood of sentinel lymph node positivity, the Company utilizes its proprietary algorithm, i31-GEP, to produce an integrated test result. i31-GEP is an artificial intelligence-based neural network algorithm (independently validated in a cohort of 1,674 prospective, consecutively tested patients with T1-T4 cutaneous melanoma) that integrates the DecisionDx-Melanoma test result with the patient’s traditional clinicopathologic features. Impact on patient management plans for one of every two patients tested has been demonstrated in four multicenter and single-center studies including more than 560 patients. The consistent performance and accuracy demonstrated in these studies provides confidence in disease management plans that incorporate DecisionDx-Melanoma test results. Through December 31, 2020, DecisionDx-Melanoma has been ordered more than 68,920 times for use in patients with cutaneous melanoma.

Genetron Health Releases 22 New Research Results at American Association for Cancer Research Annual Meeting (AACR) 2021

On April 13, 2021 Genetron Holdings Limited ("Genetron Health" or the "Company", NASDAQ:GTH), a leading precision oncology platform company in China that specializes in molecular profiling tests, early cancer screening products and companion diagnostics development, reported the release of 22 research results at the American Association for Cancer Research (AACR) (Free AACR Whitepaper) Annual Meeting 2021 (AACR 2021) (Press release, Genetron Health Technologies, APR 13, 2021, View Source [SID1234577985]).

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The results were from a series of studies that Genetron Health conducted with 13 leading hospitals in China. The Company leveraged original research and innovative technologies such as integrated DNA and RNA sequencing in gene fusion detection, a new MSI (microsatellite instability) detection algorithm model, its "One-Step Seq" method, and core products such as Onco Panscan and comprehensive sarcoma gene detection tests.

These studies analyzed the spread of various types of cancers throughout the Chinese population, covering lung cancer, intestinal cancer, pancreatic cancer, nervous system tumors, thymic carcinoma, and other types of cancers. More specifically, the studies focused on these cancers’ inheritance, mutation, and fusion characteristics. They paid particular attention to the validity of immunotherapy markers for various types of cancers, as well as rare cancer cases and new therapeutic treatments. These studies provided important insights that can enable the accurate diagnosis and treatment of cancer, facilitating the design of effective products in the future.

Dr. Yunfu Hu, Genetron Health’s Chief Medical Officer, said, "Genetron Health is committed to building a strong bridge between scientific research and clinical applications. The studies’ results show that the Company’s innovative technologies and products can help to further analyze the characteristics of cancer genomics for different types of cancer, optimize conventional technologies, and provide ideas for new product design, so as to promote the healthy development of translational medicine. For example, for soft tissue sarcoma (STS), the use of integrated DNA and RNA sequencing in gene fusion detection can greatly improve the detection rate of STS gene fusion, which may benefit more STS patients.

"For hereditary cancers, the screening method used to detect Li-Fraumeni syndrome will also improve cancer detection rates in these patients and provide more intervention opportunities for them; for colorectal cancer, our analysis of KMT2C/2D inactivation mutations is also pointing to more possibilities for immunotherapy patients. And lastly, our work on rare cancer cases and the experimentation of new treatments is furthering the development of diagnosis and treatment research for these various types of patients," Hu added.

Exploring Ways to Optimize Conventional Technologies

To overcome the DNA-sequencing limitations involved with detecting gene fusion, Genetron Health optimized the use of conventional technologies in Study #2288. During this study, more accurate, efficient, and low-cost detection of gene fusion mutations was achieved at the RNA sequencing level. This was evaluated and verified in a STS cohort of 142 Chinese patients. Compared with DNA detection alone, integrated DNA and RNA sequencing improved the detection rate of STS fusion by 177%, which could provide clinical benefits for more STS patients.

Study #2080 optimized the algorithm that detects MSI through next generation sequencing (NGS). The study was conducted on a large cohort of 2,523 samples with various types of cancers. According to the study results, the optimized algorithm was 99.9% consistent with PCR (polymerase chain reaction) testing – the industry’s current gold standard. The positive predictive value of MSI-H was 98.73%, and the negative predictive value of MSS was 99.92%.

Focusing on Hereditary Cancers

Two studies (#1464, #2557) provided screening methods for Li-Fraumeni syndrome, an inherited condition that is characterized by an increased risk for certain types of cancer. These methods utilized in-depth analysis of germline mutations and investigated the distribution of genetic characteristics for pancreatic cancer in the Chinese population, providing evidence and additional ideas for the diagnosis and treatment of hereditary cancers.

Investigating Gene Mutation and Fusion Characteristics

Nine studies (#2217, #2163, #2223, #2216, #2215, #2313, #2252, #2183, #2182) examined the mutation and fusion characteristics of soft tissue sarcoma, melanoma, neuroendocrine tumors, non-small cell lung cancer, thymic carcinoma, small bowel adenocarcinoma, ampullary carcinoma, etc. The studies focused on finding potential targets for precise therapeutic treatment, drug-resistant targets and effective countermeasures.

Probing Immunotherapy Markers

Four studies (#1639, #1640, #1641, #1681) investigated the predictive effects of KMT2C/D loss-of-function mutations, DDR signaling pathway-related gene mutations, ARID1A mutations, and BRCA1/2 mutations on immunotherapy treatments for a wide range of cancer types, providing further insights.

Spotlight on Rare Cancer Cases and New Treatment Therapies

Five studies (#0803, #0422, #1209, #1199, #0625) detected special molecular abnormalities in patients with Lynch syndrome-related lung cancer, metastatic melanoma, anaplastic thyroid carcinoma, papillary thyroid carcinoma and liposarcoma, respectively. In these studies, scientists used molecular detection to diagnose and classify such cancers, and new, targeted therapy and immunotherapy schemes were adopted for these patients, benefiting them in the long run.

Abstract#

Title

1464

Enrichment and screening of LFS patients by analyzing TP53 germline mutations of a Chinese cancer cohort

2252

Genome profiling of thymic carcinoma identifies putative driver mutations in the NF-κB signaling pathway

2557

Germline mutation landscape in a large cohort of Chinese pancreatic cancer patients

0803

Molecular diagnosis and immunotherapy of a rare lung carcinoma patient associated with PMS2 c.1144+1G>A mutation-driven Lynch syndrome

0422

Sequential targeted therapy and immunotherapy of a BRAF positive metastatic melanoma patient with BRAF inhibitor vemurafenib, MEK inhibitor cobimetnib and a novel PD-1 antibody Sintilimab

2183

Genomic profiling of small bowel adenocarcinoma reveals targetable mutations in multiple signaling pathways

2217

More somatic mutations can be detected in cerebrospinal fluid ctDNA of NSCLC patients with brain metastases

2182

Evaluation of somatic and germline mutations in ampullary carcinoma reveals actionable targets in multiple signaling pathways

1209

An effective treatment for recurrent and inoperable anaplastic thyroid carcinoma using sintilimab and anlotinib: a case report

1681

Correlation of BRCA1/2 mutations with response to immune checkpoint inhibitors in colorectal cancer

1641

The predictive values of ARID1A mutations for response to immune checkpoint inhibitors are varied in different types of solid tumors

1639

Correlation of KMT2C/D loss-of-function mutations with PD-L1 expression and response to immune checkpoint inhibitors in solid tumors

1640

Correlations of DNA damage response gene alterations with response to immune checkpoint inhibitors are different in solid tumors

2288

Identification of gene fusions in soft tissue sarcoma improved by integrative DNA and RNA sequencing

2163

Molecular characteristics of CDK4 and/or MDM2 amplification in Chinese soft tissue sarcoma (STS) patients

0625

Co-amplification of CDK4 and MDM2 plus HMGA2 fusion in a patient with myogenic differentiation dedifferentiated liposarcoma

2223

Distinct genomic features of cutaneous, acral and mucosal melanomas in a Chinese retrospective cohort

2216

Exploration of the genomic features of pan-neuroendocrine tumors in a Chinese retrospective analysis

2215

Landscape of RET fusion identified by next‑generation sequencing in a Chinese multi-cancer retrospective analysis

1199

Mosaic KRAS G12S mutation associates with poor outcome in papillary thyroid carcinoma: A case report

2080

Tumor microsatellite instability detection method using paired tumor-normal sequence data

2313

The characteristics of ERBB2 exon 20 insertion in a large cohort of Chinese NSCLC patients

Purple Biotech Presents Additional Mechanism of Action Data for NT219 at American Association of Cancer Research 2021 Annual Meeting

On April 13, 2021 Purple Biotech Ltd. ("Purple Biotech" ", or the "Company") (NASDAQ/TASE: PPBT), a clinical-stage company developing first-in-class, effective and durable therapies by overcoming tumor immune evasion and drug resistance, reported that additional preclinical data supporting the mechanism of action of NT219, a dual inhibitor, novel small molecule that simultaneously targets IRS1/2 and STAT3, were presented in a poster entitled "Adaptation of colorectal cancer cells to the brain microenvironment: The role of IRS2," at the American Association of Cancer Research (AACR) (Free AACR Whitepaper) 2021 Annual Meeting (Press release, Purple Biotech, APR 13, 2021, View Source [SID1234577984]). These data update and expand on the results previously reported by the Company from its collaboration with Professor Ido Wolf, Head of the Oncology Division at Tel Aviv Sourasky Medical Center.

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Colorectal cancer (CRC) represents the fourth most frequent cause of brain metastasis, which is the most common brain tumor. The study included an analysis of more than 16,000 human CRC local and metastasis samples, and revealed increased amplification of IRS2 in brain metastases.

In an in vitro system mimicking the brain microenvironment, IRS2-overexpressed CRC cells showed prolonged survival. Importantly, transcriptomic analysis demonstrated significant enrichment of the oxidative phosphorylation (OXPHOS) pathway by IRS2. CRC cells expressing IRS2 showed increased mitochondrial activity and glycolysis-independent viability. Inhibition of IRS2 using NT219 dose-dependently inhibited IRS2-expressing cells viability and OXPHOS genes expression.

The Wnt/β-catenin pathway was among the most significantly enriched pathways in the brain metastasis, as IRS2-expressing cells showed increased transcriptional activity of the β-catenin. In addition, NT219 decreased the transcriptional activity of β-catenin in IRS2-expressing CRC cells to a greater extent than AKT and PI3K inhibitors, and most significantly suggested relevance of IRS2 in activating β-catenin. It was further shown that 5-FU, a chemotherapy approved for treating CRC, elevated β-catenin expression, and that NT219 diminished both 5FU-induced and the basal level of the β-catenin expression. Utilizing an intracranial animal model, it was also demonstrated that while 5-FU alone had no significant effect, the combination of 5-FU and NT219 significantly inhibited the formation of brain metastasis and extended survival rates of the study mice.

"We are excited about these highly encouraging study results," said Bertrand Liang, M.D., Ph.D., Chief Medical Officer of Purple Biotech. "These compelling data provide important insights regarding the role of IRS2 in promoting CRC brain metastasis, and suggest that novel agents such as NT219 have the potential to effectively inhibit the development of brain metastasis. Our ongoing Phase 1/2 clinical trial of NT219 as monotherapy for the treatment of solid tumors, followed by a dose escalation of NT219 in combination with cetuximab, an epithelial growth factor receptor (EGFR) blocking monoclonal antibody, for the treatment of recurrent and/or metastatic solid tumors and squamous cell carcinoma of the head and neck cancer, is proceeding with enrollment as planned and we continue to expect the availability of top-line data from the first part of this study in the second half of this year."

The poster presentation is available at View Source

Zymeworks to Present at Bloom Burton Healthcare Conference

On April 13, 2021 Zymeworks Inc. (NYSE:ZYME), a clinical-stage biopharmaceutical company developing multifunctional biotherapeutics, reported that the Company will present at the upcoming 2021 Bloom Burton Healthcare Investor Conferencetaking place April 20-21, 2021 (Press release, Zymeworks, APR 13, 2021, View Source [SID1234577982]).

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The Company’s presentation will be on Tuesday, April 20, 2021 at 11:30 a.m. ET.

Interested parties can access a live webcast of the presentation via a link from Zymeworks’ website at View Source, which will also host a recorded replay available afterwards.