Illumina to Webcast Upcoming Investor Conference

On July 28, 2021 Illumina, Inc. (NASDAQ: ILMN) reported that its executives will be speaking at the following investor conference (Press release, Illumina, JUL 28, 2021, View Source [SID1234585318]):

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UBS Genomics 2.0 and MedTech Innovations Summit on August 11, 2021
Fireside Chat at 12:00 pm Pacific Time (3:00 pm Eastern Time)
The live webcast can be accessed under the Investor Info section of the "company" tab at www.illumina.com. A replay will be posted on Illumina’s website after the event and will be available for at least 30 days following.

ADC Therapeutics to Host Second Quarter 2021 Financial Results Conference Call on August 3, 2021

On July 28, 2021 ADC Therapeutics SA (NYSE: ADCT), a commercial-stage biotechnology company leading the development of novel antibody drug conjugates (ADCs) to treat hematological malignancies and solid tumors, reported that it will host a conference call and live webcast on Tuesday, August 3, 2021 at 8:30 a.m. EDT to report financial results for the second quarter 2021 and provide business updates (Press release, ADC Therapeutics, JUL 28, 2021, View Source [SID1234585317]).

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To access the live call, please dial 833-303-1198 (domestic) or +1 914-987-7415 (international) and provide confirmation number 6962756. A live webcast of the presentation will be available under "Events and Presentations" in the Investors section of the ADC Therapeutics website at ir.adctherapeutics.com. The archived webcast will be available for 30 days following the call.

Xencor to Host Second Quarter 2021 Financial Results Webcast and Conference Call on August 4, 2021

On July 28, 2021 Xencor, Inc. (NASDAQ: XNCR), a clinical-stage biopharmaceutical company developing engineered monoclonal antibodies and cytokines for the treatment of cancer and autoimmune diseases, reported that it will release second quarter 2021 financial results after the market closes on Wednesday, August 4, 2021 (Press release, Xencor, JUL 28, 2021, View Source [SID1234585316]).

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Xencor management will host a webcast and conference call the same day at 4:30 p.m. ET (1:30 p.m. PT) to discuss the financial results and provide a corporate update.

The live call may be accessed by dialing (877) 359-9508 for domestic callers or (224) 357-2393 for international callers and referencing conference ID number 1389708. A live webcast of the conference call will be available under "Events & Presentations" in the Investors section of the Company’s website located at www.xencor.com. The webcast will be archived on the company website for 30 days.

Tempus Unveils Its Scalable Tumor Organoid Screening Platform In Cell Reports Study

On July 28, 2021 Tempus, a leader in artificial intelligence and precision medicine, reported publication of a study outlining the precision medicine applications for its patient-derived tumor organoid (TO) platform (Press release, Tempus, JUL 28, 2021, View Source [SID1234585315]). The study demonstrates how the platform has the potential to accelerate the application of patient derived biological models (organoids) in precision oncology and targeted therapeutic profiling programs through its use of molecular data and AI-based neural network development. Given the scale of Tempus’ organoid program, it now houses one of the largest repositories of these models in the world.

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Organoids can be used to model tumor genomes and transcriptomes from a range of cancer types, yet until now, their utilization has been limited by a lack of scalable and reproducible methods for development and therapeutic profiling. The study, published in Cell Reports, analyzed Tempus’ platform of over 1,000 tumor organoid cultures, from patients whose tumors represent the most common subtypes of carcinoma in North America, to evaluate clinical and molecular determinants of organoid culture success, minimal growth factor dependencies by tissue of origin, and molecular concordance between organoids and source tumors. As organoids have the potential to recreate a patient’s own tumor outside their body, this category of biological models has the potential to meaningfully impact both drug discovery and patient care.

Overall, the Tempus organoids accurately represented patients’ tumor DNA mutational profiles, RNA expression, and structural genomic features. Additionally, drug screens under minimal media conditions uncovered clinically relevant therapeutic sensitivities. This finding suggests that future organoid studies can be conducted with less complex media formulations, possibly resulting in reductions in time, cost, user error, and methodological variation. Lastly, the study presents a neural network-based, universal solid tumor therapeutic profiling assay predicting organoid viability from simple light microscopy, reducing cost and time in high-throughput screening.

"Leveraging organoids has the potential to revolutionize personalized oncology and benefit patients," said Dr. Joel Dudley, Chief Scientific Officer at Tempus. "Tempus’ work in this field will help researchers access technology-enabled, industrial-grade screening of patient-derived organoids at scale, which we believe will significantly advance both diagnostic and drug discovery efforts."

BostonGene Announces Publication in Clinical Cancer Research Identifying the Cellular Features and Gene Expression Characteristics Underlying MRI Visibility in Prostate Cancer

On July 28, 2021 BostonGene Corporation, a biomedical software company committed to defining optimal precision medicine-based therapies for cancer patients, reported the online publication of the manuscript, "Single-cell Spatial Proteomic Revelations on the Multiparametric MRI Heterogeneity of Clinically Significant Prostate Cancer" in Clinical Cancer Research, a journal of the American Association for Cancer Research (AACR) (Free AACR Whitepaper) (Press release, BostonGene, JUL 28, 2021, View Source [SID1234585314]). The study, led by oncologists at Washington University School of Medicine in St. Louis – in collaboration with BostonGene – identified distinct molecular, cellular, and structural characteristics associated with MRI-visible clinically significant prostate cancer (csPCa).

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Multiparametric MRI (mpMRI) has increased the detection rate and has improved the prediction rate of prostate cancer; however, mpMRI is unable to detect almost 15% of csPCa and often misidentifies healthy patients as csPCa. To uncover the mechanisms underlying MRI visibility in csPCa, the group performed the first integrated multi-omics analysis of clinically matched mpMRI-invisible and -visible PCa. Tumor tissues from clinically matched patients with mpMRI-invisible and mpMRI-visible csPCa who underwent radical prostatectomy were evaluated. In this collaborative study, BostonGene performed integrated analysis of multiplex immunofluorescence single-cell spatial imaging and gene expression profiling with its artificial intelligence-based analytic algorithms to examine the tumor and surrounding microenvironment. Expression profiling identified a stromal enrichment signature in mpMRI-invisible PCa that correlated with better PCa clinical outcomes. Interestingly, mpMRI-invisible tumors displayed molecular, cellular, and structural features more akin to normal prostate tissue, which may render these tumors undetectable by MRI imaging.

"This AI-based analytical approach could distinctly identify the molecular and cellular composition of tumor tissue. Integrated multi-omics analysis in conjunction with mpMRI shows promise for the diagnosis and personalization of treatment options for patients with clinically significant prostate cancer," said Russell K. Pachynski, MD, lead study author and genitourinary medical oncologist at Washington University School of Medicine in St. Louis and its affiliated Siteman Cancer Center.

"The results of our collaboration with Washington University and Siteman Cancer Center validate the use of multiplexed immune-fluorescent microscopy and gene expression profiling coupled with cutting-edge analytics to solve clinical unmet needs," said Nathan Fowler, MD, Chief Medical Officer at BostonGene. "Our findings created an opportunity to improve PCa patient outcomes."