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Personalis Announces Updates to NeXT Platform™ Incorporating Additional Key Profiling Capabilities for Advancing Oncology Biomarkers
Rhea-AI Impact
(Neutral)
Rhea-AI Sentiment
(Very Positive)
Tags
Rhea-AI Summary
Personalis, Inc. (NASDAQ: PSNL) has expanded its NeXT Platform, enhancing its ability to analyze tumor-immune interactions crucial for cancer therapy responses. Key new features include InfiltrateID™, which identifies immune cell populations; RepertoireID™, which characterizes B-cell receptors; and SHERPA™, an advanced neoantigen prediction algorithm. These improvements aim to facilitate better patient stratification in cancer treatments. Personalis continues to be a leader in advanced genomics, operating a significant sequencing operation and focusing on comprehensive genomic tumor profiling.
Positive
Expansion of NeXT Platform with new features to enhance tumor-immune interaction analysis.
Introduction of InfiltrateID™ for identifying immune cell populations within tumors.
RepertoireID™ now includes characterization of B-cell receptor repertoire.
Enhanced patient response stratification through composite biomarkers.
Negative
None.
MENLO PARK, Calif.--(BUSINESS WIRE)--
Personalis, Inc. (Nasdaq: PSNL), a leader in advanced genomics for cancer, today announced the latest expansion of the Personalis NeXT Platform® adding several new features that are key to the understanding of the interactions between the tumor and the immune system and how they may influence a cancer patient’s response to therapy.
The new and improved features include:
InfiltrateID™, a sophisticated analytics module that leverages the augmented gene expression data from the NeXT Transcriptome™ to detect the presence of eight immune cell populations within a tumor sample
RepertoireID™ now incorporates the characterization of the B-cell receptor repertoire, including the computing of isotype makeup, as a complement to the previously released T-cell receptor repertoire feature
SHERPA™, further enhancing the performance of Personalis’ leading pan-allelic neoantigen prediction algorithm recently published in the Immunopeptidomics Special Issue of the journal Molecular & Cellular Proteomics
Personalis CMO and SVP of R&D, Richard Chen, MD, said, “With the ability to identify immune cell populations in the tumor, characterize the B-cell and T-cell receptor repertoires, and better predict neoantigens, we are further expanding the NeXT Platform for additional emerging oncology biomarkers. As we recently demonstrated with our NEOPS biomarker publication, combining both tumor and immune features into a composite biomarker can lead to better stratification of patient response to cancer therapy. These new NeXT Platform features open up opportunities to further enhance composite biomarkers like NEOPS.”
These advanced machine learning and algorithmic tools paired with the unique assay design of the NeXT Platform, further Personalis’ goal of providing the most comprehensive genomic tumor profiling platform available. The NeXT Platform consolidates multiple biomarker assays into one, enabling a seamless path from translational research to companion diagnostics development.
About Personalis, Inc.
Personalis, Inc. is a leader in advanced cancer genomics for enabling the next generation of precision cancer therapies and diagnostics. The Personalis NeXT Platform® is designed to adapt to the complex and evolving understanding of cancer, providing its biopharmaceutical customers and clinicians with information on all of the approximately 20,000 human genes, together with the immune system, from a single tissue sample. In population sequencing, Personalis operates one of the largest sequencing operations globally and is currently the sole sequencing provider to Veterans Affairs' Million Veteran Program. To enable cancer and population sequencing, Personalis'Clinical Laboratory has been built with a focus on clinical accuracy, quality, big data, scale and efficiency. The laboratory is GxP-aligned as well as Clinical Laboratory Improvement Amendments of 1988-certified and College of American Pathologists-accredited. For more information, visit www.personalis.com and follow Personalis on LinkedIn and Twitter.
Forward-Looking Statements
All statements in this press release that are not historical are “forward-looking statements” within the meaning of U.S. securities laws, including statements relating to attributes or advantages of InfiltrateID, RepertoireID, SHERPA, NEOPS, or the Personalis NeXT Platform, Personalis’ business opportunities, leadership, plans, vision or growth, or other future events. Such forward-looking statements involve risks and uncertainties, including those related to the COVID-19 pandemic, that could cause actual results to differ materially from any anticipated results or expectations expressed or implied by such statements. Factors that could materially affect actual results can be found in Personalis’ filings with the U.S. Securities and Exchange Commission, including Personalis’ most recent reports on Forms 8-K, 10-K and 10-Q, and include those listed under the caption “Risk Factors.” Personalis disclaims any obligation to update such forward-looking statements.
What are the new features added to Personalis, Inc.'s NeXT Platform?
The NeXT Platform now includes InfiltrateID™ for immune cell detection, RepertoireID™ for B-cell receptor characterization, and SHERPA™ for neoantigen prediction.
How does the NeXT Platform improve cancer therapy response analysis?
It enhances the understanding of tumor-immune interactions, allowing for better patient stratification in therapy responses.
What is InfiltrateID™ and how does it work?
InfiltrateID™ is an analytics module that detects eight immune cell populations within tumor samples using advanced gene expression data.
What role does SHERPA™ play in the NeXT Platform?
SHERPA™ enhances the prediction of neoantigens, improving the ability to tailor cancer therapies to individual patients.
What is the significance of the RepertoireID™ feature?
RepertoireID™ characterizes the B-cell receptor repertoire, complementing previously released T-cell receptor features.
