NetworkNewsWire Editorial Coverage: The field of precision medicine has latched upon what may well be the Holy Grail in the fight against cancer. When big data are utilized by teams of pathologists, data can be incredibly helpful, but when the right data are comprehensively analyzed by artificial intelligence (AI)-powered models, the data can be downright
lifesaving.
Predictive Oncology (NASDAQ: POAI) (POAI Profile) is in an enviable position in the precision-medicine industry due to its incredibly rich data set of more than 150,000 clinically validated cases on its molecular information platform, with 30,000-plus specific to ovarian cancer. The company is leveraging this unique database through Artificial Intelligence to provide the actionable insights needed to drive pharma R&D programs and improve patient outcomes. A data asset like this typically takes at least five years to fully validate and most competitors are only in the early stages of the process. Predictive Oncology already has it. The uniqueness of its data combined with its proprietary AI platform show true disruptive potential in the field of precision medicine. Leading pharma companies in the space such as
Roche Holding AG (OTCQX: RHHBY),
GlaxoSmithKline (NYSE: GSK),
AstraZeneca (NYSE: AZN) and
Bristol-Myers Squibb (NYSE: BMY) have also shown keen interest in the promise of precision medicine and are making multibillion dollar investments in the space.
- The precision medicine market is projected to explode to more than $96 billion within the next five years.
- POAI has already assembled one of the largest databases of drug-response and outcome data in the world.
- Helomics’ vast database of drug-response profiles (response-ome) of 150,000 patient tumors spans 137 cancer types.
Value of Data in Precision Medicine
For some time, clinicians have been utilizing key genomic data to understand a patient’s individual tumor type in attempts to effectively prescribe therapies that will work. However, the scientific community has come to realize, due to low success rates in these applications, that genomic data itself — utilizing a just-genomics approach — doesn’t fully address the complexities of cancer and is merely scratching the surface of personalized medicine’s true potential.
The precision-medicine space has a real unmet need, with a surging demand for a multi-omic approach rather than just genomics to better understand and treat the complexities of cancer. The multi-omic approach (genome, transcriptome, epigenome, proteome, responseome and microbiome) provides researchers and clinicians the comprehensive information and interactions necessary for new drug development and treating each patient’s unique cancer in the most effective method possible. Comparatively, the multi-omic approach provides a three-dimensional, 360-degree view of the cancer, while genomics alone is just a flat, one-dimensional image.
Market Potential
Major players in the space are looking to get their hands on comprehensive, multi-omic data sets that can help them not only understand the type of cancer a patient may have but also strongly predict which therapies will be most effective in fighting each specific cancer. Unfortunately, such data is fragmented and scarce, and the initiation of such data collecting is costly and time consuming.
Predictive Oncology (NASDAQ: POAI) has already assembled one of the largest databases of drug-response and outcome data in the world.
Indicating market trajectory, the precision medicine market is projected to explode to more than
$96 billion within the next five years. The value of actionable data sets has steadily increased across the pharma industry, as significant acquisitions have commanded an ever-steeper price.
In January 2015, Swiss biopharma giant Roche paid $1 billion to acquire a 57% stake in molecular information developer Foundation Medicine, pledging another $157 million to accelerate product development. Underscoring the importance of precision medicine and the value of molecular information on cancers,
Roche acquired the remainder of Foundation Medicine in 2018 for $2.4 billion, valuing the company at over $5.3 billion. At the time of the acquisition, Foundation Medicine reported
68,000 cases on its molecular information platform.
Predictive Assets
By comparison,
Predictive Oncology (NASDAQ: POAI) currently has about 150,000 cases on its molecular information platform, with more than 30,000 specific to ovarian cancer. The company’s data is highly differentiated, having both drug-response data and access to historical outcome data from patients. The value is evidenced in a joint
collaborative agreement with UPMC/Magee.
The collaboration is focused on using D-CHIP(TM), an AI platform from Helomics, a POAI subsidiary, to analyze the genomic and drug-response profiles of women with ovarian cancer to determine predictive value in terms of response/nonresponse to therapy. Both parties believe that the collaboration will demonstrate the enormous value of using AI-powered, evidence-based decision making in the context of specific treatments on specific genotypes to predict clinical outcomes for this group of patients.
With ovarian cancer as its first target, Helomics intends to sequence 50% of its 30,000-plus ovarian tumors over the next nine to twelve months, generating what may be the world’s first comprehensive, actionable, multi-omic dataset for ovarian cancer.
In addition to UPMC/Magee, Predictive Oncology has established agreements with Interpace Diagnostics Group to build AI-driven models of thyroid cancer to enhance diagnosis and identify the best therapeutic options for thyroid cancer. The company also entered a collaborative research agreement with molecular imaging company ChemImage to establish the feasibility of coupling genomics to Raman spectroscopy to better determine disease progression in prostate cancer.
Helomics also participated in the landmark
100,000 Genomes Project, a UK-government project that is sequencing whole genomes from National Health Service patients. The project is focusing on rare and infectious diseases, along with common types of cancer. The 100,00 Genomes Project featured nine major pharmaceutical companies and only one molecular information company — Predictive Oncology.
Standing Out
What sets Predictive Oncology apart in the quest for actionable cancer intelligence is that PAOI’s data assets are already in place, with data profiles dating back to 2003. By contrast, companies beginning to collect and analyze data must wait to discover how patients’ tumors will initially respond to prescribed therapies and to evaluate patient outcomes, a process that takes approximately five years. In short, POAI is on an execution trajectory not a developmental plan. By coupling outcome data with multi-omic data, POAI is creating what may be the most comprehensive, actionable dataset on ovarian cancer in the world. These actionable insights are imperative for pharmaceutical research and development programs and, most importantly, improving outcomes for the cancer patients of today and tomorrow.
Considering Roche’s $3.4 billion investment in Foundation Medicine based on the value of its molecular information, Predictive Oncology exhibits strong market potential. With a current market capitalization of only about $14 million, there should be an opportunity somewhere between here and the $3.4 billion Roche invested.
Today, Helomics’ vast database of drug-response profiles (response-ome) of 150,000 patient tumors spans 137 cancer types—a depth and breadth of data that many industry competitors only wish they could obtain. When artificial intelligence is utilized in predictive models to analyze this data, the model’s efficacy becomes more fine-tuned in congruence with such a wealth of data. Much like the search engines engineered by Google and Amazon, the more information about a patient that is fed into a machine, the better it is at predicting outcomes for that patient.
That’s the promise of precision medicine, being able to develop drugs and tailor therapeutic treatments to each individual’s specific cancer, providing the best possible outcomes. Predictive Oncology is at the vanguard of delivering the actionable intelligence required to bring the promise of precision medicine to reality.
The race to develop actionable intelligence on tumors has begun, and Predictive Oncology’s five-year head start has positioned it at the head of the pack.
Pharma on the Hunt
Roche Holding AG (OTCQX: RHHBY), a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people’s lives, has been developing medicines with the goal of redefining treatment in oncology for over 50 years. The company’s efforts are still invested in innovative treatments, including digital health software, which
provides data-driven results to support life-changing decisions. Roche uses artificial intelligence and algorithms to deliver self-learning products that constantly update available data and help healthcare professionals make more timely and informed healthcare treatment decisions.
GlaxoSmithKline (NYSE: GSK), a science-led global healthcare company, is focused on developing transformational medicines to improve survival and potentially achieve cures in the field of oncology. GSK recently announced its collaboration with the University of California to establish a new Laboratory for Genetics Research (LGR). This partnership aims to
accelerate the development of next-generation functional genomics technologies and build on the databases GSK currently has available from human genetics.
AstraZeneca (NYSE: AZN), a global, science-led biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines, is utilizing precision medicine in the most prevalent and deadly tumor types. AZN is
concentrating on biomarker-driven indications to dramatically improve five-year survival in five tumor types, including ovarian cancer and non-small cell lung cancer. Senior vice president of Precision Medicine at AstraZeneca Ruth March notes that the greatest advance of personalized healthcare in oncology has been
the realization that some tumors are driven by individual genes. Discovering which genes cause certain types of tumors enables scientists to develop a medicine that’s best for that tumor, and then select patients that are best for that medicine.
Bristol-Myers Squibb (NYSE: BMY) is a global biopharmaceutical company whose mission is to discover, develop and deliver innovative medicines that help patients prevail over serious diseases. BMY aims to create individualized treatment strategies tailored to individual patients, offering the greatest possible patient benefit. BMY is partnering with companies to
leverage next-generation sequencing to develop gene expression profiles for immune-oncology assets studied across a variety of cancers. BMY leadership sees this sequencing as a key component of precision medicine; since each tumor has a different biology, these biological differences can be associated with different outcomes. The company continues to gain new insights using sophisticated, proven and emerging technologies.
With very lives at stake, it’s little wonder that key players in the pharma sector have shifted focus to precision medicine, a powerhouse combination of rich, historical patient data and powerful AI platforms.
About NetworkNewsWire
NetworkNewsWire (NNW) is a financial news and content distribution company that provides (1) access to a network of wire services via
NetworkWire to reach all target markets, industries and demographics in the most effective manner possible, (2) article and editorial syndication to 5,000+ news outlets (3), enhanced press release services to ensure maximum impact, (4) social media distribution via the Investor Brand Network (IBN) to nearly 2 million followers, (5) a full array of corporate communications solutions, and (6) a total news coverage solution with
NNW Prime. As a multifaceted organization with an extensive team of contributing journalists and writers, NNW is uniquely positioned to best serve private and public companies that desire to reach a wide audience of investors, consumers, journalists and the general public. By cutting through the overload of information in today’s market, NNW brings its clients unparalleled visibility, recognition and brand awareness. NNW is where news, content and information converge.
Please see full terms of use and disclaimers on the NetworkNewsWire website applicable to all content provided by NNW, wherever published or re-published:
http://NNW.fm/Disclaimer
DISCLAIMER: NetworkNewsWire (NNW) is the source of the Article and content set forth above. References to any issuer other than the profiled issuer are intended solely to identify industry participants and do not constitute an endorsement of any issuer and do not constitute a comparison to the profiled issuer. The commentary, views and opinions expressed in this release by NNW are solely those of NNW. Readers of this Article and content agree that they cannot and will not seek to hold liable NNW for any investment decisions by their readers or subscribers. NNW is a news dissemination and financial marketing solutions provider and are NOT registered broker-dealers/analysts/investment advisers, hold no investment licenses and may NOT sell, offer to sell or offer to buy any security.
The Article and content related to the profiled company represent the personal and subjective views of the Author, and are subject to change at any time without notice. The information provided in the Article and the content has been obtained from sources which the Author believes to be reliable. However, the Author has not independently verified or otherwise investigated all such information. None of the Author, NNW, or any of their respective affiliates, guarantee the accuracy or completeness of any such information. This Article and content are not, and should not be regarded as investment advice or as a recommendation regarding any particular security or course of action; readers are strongly urged to speak with their own investment advisor and review all of the profiled issuer’s filings made with the Securities and Exchange Commission before making any investment decisions and should understand the risks associated with an investment in the profiled issuer’s securities, including, but not limited to, the complete loss of your investment.
NNW HOLDS NO SHARES OF ANY COMPANY NAMED IN THIS RELEASE.
This release contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E the Securities Exchange Act of 1934, as amended and such forward-looking statements are made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. “Forward-looking statements” describe future expectations, plans, results, or strategies and are generally preceded by words such as “may”, “future”, “plan” or “planned”, “will” or “should”, “expected,” “anticipates”, “draft”, “eventually” or “projected”. You are cautioned that such statements are subject to a multitude of risks and uncertainties that could cause future circumstances, events, or results to differ materially from those projected in the forward-looking statements, including the risks that actual results may differ materially from those projected in the forward-looking statements as a result of various factors, and other risks identified in a company’s annual report on Form 10-K or 10-KSB and other filings made by such company with the Securities and Exchange Commission. You should consider these factors in evaluating the forward-looking statements included herein, and not place undue reliance on such statements. The forward-looking statements in this release are made as of the date hereof and NNW undertakes no obligation to update such statements.
