As the worldwide demand for histopathology services increases faster than the increase in the number of anatomic pathologist and histopathologists, a DP platform that suggests courses of treatments may be a boon to cancer diagnostics
Europe may become Ground Zero for the widespread adoption of whole-slide imaging (WSI), digital pathology (DP) workflow, and the use of image-analysis algorithms to make primary diagnoses of cancer. Several forward-looking histopathology laboratories in different European countries are moving swiftly to adopt these innovative technologies.
Clinical laboratories and anatomic pathology groups worldwide have watched digital pathology tools evolve into powerful diagnostic aids. And though not yet employed for primary diagnoses, thanks to artificial intelligence (AI) and machine learning many DP platforms are moving closer to daily clinical use and new collaborations with pathologists who utilize the technology to confirm cancer and other chronic diseases.
Now, Swiss company Unilabs, one of the largest laboratory, imaging, and pathology diagnostic developers in Europe, and Israel-based Ibex Medical Analytics, developer of AI-based digital pathology and cancer diagnostics, have teamed together to deploy “Ibex’s multi-tissue AI-powered Galen platform” across 16 European nations, according to a Unilabs press release.
Though not cleared by the federal Food and Drug Administration (FDA) for clinical use in the US, the FDA recently granted Breakthrough Device Designation to Ibex’s Galen platform. This designation is part of the FDA’s Breakthrough Device Program which was created to help expedite the development, assessment, and review of certain medical devices and products that promise to provide for more effective treatment or diagnosis of life-threatening or irreversibly debilitating diseases or conditions.
Benefits of AI-Digital Pathology to Pathologists, Clinical Labs, and Patients
According to Ibex’s website, the Galen DP platform uses AI algorithms to analyze images from breast and prostate tissue biopsies and provide insights that help pathologists and physicians determine the best treatment options for cancer patients.
This will, Ibex says, give pathologists “More time to dedicate to complex cases and research,” and will make reading biopsies “Less tedious, tiring, and stressful.”
Patients, according to Ibex, benefit from “Increased diagnostic accuracy” and “More objective results.”
And pathology laboratories benefit from “Increased efficiency, decreased turnaround time, and improved quality of service,” Ibex claims.
According to the press release, AI-generated insights can include “case prioritization worklists, cancer heatmaps, tumor grading and measurements, streamlined reporting tools and more.”
This more collaborative approach between pathologists and AI is a somewhat different use of digital pathology, which primarily has been used to confirm pathologists’ diagnoses, rather than helping to identify cancer and suggest courses of treatment to pathologists.
“This cutting-edge AI technology will help our teams quickly prioritize urgent cases, speed up diagnosis, and improve quality by adding an extra set of digital eyes,” said Christian Rebhan, MD, PhD (above), Chief Medical and Operations Officer at Unilabs, in the press release. “When it comes to cancer, the earlier you catch it, the better the prognosis—so getting us critical results faster will help save lives.” (Photo copyright: Unilabs.)
AI-based First and Second Reads
The utilization of the Galen platform will first be rolled out nationally in Sweden and then deployed in sixteen other countries. The AI-based DP platform is CE marked in the European Union for breast and prostate cancer detection in multiple workflows.
“The partnership with Ibex underlines Unilabs’ pioneering role in Digital Pathology and represents yet another step in our ambition to become the most digitally-enabled provider of diagnostic services in Europe,” Rebhan stated.
The Ibex website explains that the Galen platform is divided into two parts—First Read and Second Read:
The First Read “is an AI-based diagnostics application that aims to help pathologists significantly reduce turnaround time and improve diagnostic accuracy. The application uses a highly accurate AI algorithm to analyze slides prior to the pathologist and provides decision support tools that enable focusing on cancerous slides and areas of interest, streamline reporting, improve lab efficiency, and increase diagnostic confidence.”
The Second Read “is an AI-based diagnostics and quality control application that helps pathologists enhance diagnostic accuracy with no impact on routine workflow. The application analyzes slides in parallel with the pathologist and alerts in case of discrepancies with high clinical significance (e.g., a missed cancer), thereby providing a safety net that reduces error rates and enables a more efficient workflow.”
“Ibex is transforming cancer diagnosis with innovative AI solutions across the diagnostic pathway,” said Joseph Mossel, Chief Executive Officer and co-founder of Ibex, in the press release. “We are excited to partner with Unilabs to deploy our AI solutions and empower their pathologists with faster turnaround times and quality diagnosis. This cooperation follows a thorough evaluation of our technology at Unilabs and demonstrates the robustness and utility of our platform for everyday clinical practice.”
Use of AI in Pathology Increases as Number of Actual Pathologists Declines
Developers like Unilabs and Ibex believe that DP platforms driven by AI image analysis algorithms can help pathologists be more productive and can shorten the time it takes for physicians to make diagnoses and issue reports to patients.
This may be coming at a critical time. As nations around the globe face increasing shortages of pathologists and histopathologists, the use of AI in digital pathology could become more critical for disease diagnosis and treatment.
A 2019 Medscape survey stated that “One-third of active pathologists are burned out,” and that many pathologists are on the road to retirement.
And in the same year, Fierce Healthcare noted that in a 2013 study, “researchers found that more than 40% of pathologists were 55 or older. They predicted that retirements would reach their apex in 2021. Consequently, by the end of next decade, the United States will be short more than 5,700 pathologists.”
Dark Daily previously reported on the growing global shortage of pathologists going back to 2011.
Even China is struggling to keep up with demand for anatomic pathologists. In 2017, Dark Daily wrote, “China is currently facing a severe shortage of anatomic pathologists, which blocks patients’ access to quality care. The relatively small number of pathologists are often overworked, even as more patients want access to specialty care for illnesses. Some hospitals in China do not even have pathologists on staff. Thus, they rely on understaffed anatomic pathology departments at other facilities, or they use imaging only for diagnoses.”
Thus, it may be time for an AI-driven digital platform to arrive that can speed up and increase the accuracy of the cancer diagnostics process for pathologists, clinical laboratories, and patients alike.
There are multiple companies rapidly developing AI, machine learning, and image analysis products for diagnosing diseases. Pathologists should expect progress in this field to be ongoing and new capabilities regularly introduced into the market.
FDA cites ‘risk of false results’ and concerns about labeling and ‘performance claims’ in its official warning letter to Innova, a company with connections to Chinese firms
By many standards, the US government’s response to the COVID-19 pandemic has been phenomenal. However, the many emergency use authorizations (EUAs) awarded by the US federal Food and Drug Administration (FDA) to bring as many COVID-19 tests to market as quickly as possible means some of those tests in use today at clinical laboratories nationwide have not undergone the normal pre-market review and clearance typically required by the FDA.
But in its recall announcement, the FDA described Innova’s recall of its SARS-CoV-2 Antigen Rapid Test as a “Class 1 recall” and gave the stern warning, “Use of these devices may cause serious injuries or death.”
And in its public Safety Communication, the federal agency wrote, “The FDA has significant concerns that the performance of the test has not been adequately established, presenting a risk to health. In addition, labeling distributed with certain configurations of the test includes performance claims that did not accurately reflect the performance estimates observed during the clinical studies of the tests. Finally, the test has not been authorized, cleared, or approved by the FDA for commercial distribution or use in the United States, as required by law.”
In May 2021, Innova Medical Group of Pasadena, Calif., announced it would start producing millions of its COVID-19 SARS-CoV-2 Antigen Rapid test kits (above) per day in the United Kingdom by opening a production facility in Rhymney, South Wales. (Photo copyright: Innova Medical Group, Inc.)
FDA Warns Public to Stop Using Innova’s Rapid Antigen COVID-19 Test
Widescale COVID-19 testing has been viewed as key to containing community spread of the SARS-CoV-2 coronavirus, and fast, inexpensive rapid COVID-19 testing is a necessity in that fight.
However, as clinical laboratory scientists know, rapid tests are not as specific as molecular polymerase chain reaction (PCR) tests, which means there is a higher chance of false negatives and false positives with a COVID-19 rapid test than with a molecular test. When diagnosing COVID-19, a PCR test is considered the gold-standard, though results can take multiple days to produce.
Nevertheless, according to the Innova Europe website, the Innova rapid antigen test has a sensitivity on symptomatic individuals of 97% and a specificity of 99% and is the most widely used test in the world. More than 500 million units are in circulation.
Regardless, in its June 10th warning, the FDA called for the public to stop using the Innova Medical Group SARS-CoV-2 Antigen Rapid test for diagnostic use.
“The FDA has significant concerns that the performance of the test has not been adequately established, presenting a risk to health,” the FDA stated. “In addition, labeling distributed with certain configurations of the test includes performance claims that did not accurately reflect the performance estimates observed during the clinical studies of the tests. Finally, the test has not been authorized, cleared, or approved by the FDA for commercial distribution or use in the United States, as required by law.”
In its warning, the FDA recommended anyone in possession of Innova tests “destroy the tests by placing them in the trash” or return the tests to Innova.
The Innova SARS-CoV-2 Antigen Rapid test is also distributed under the names:
Innova COVID-19 Self-Test Kit (3T Configuration),
Innova Medical Group SARS-CoV-2-Antigen Rapid Test (7T Configuration), and
Innova Medical Group SARS-CoV-2-Antigen Rapid Test (25T Configuration).
Innova Medical Group was formed in March 2020 by Charles Huang, PhD, founder and chairman of private-equity firm Pasaca Capital. The Pasaca website states Innova worked with its primary contract manufacturer, China-based Xiamen Biotime Biotechnology Co., for several months to design “a highly accurate rapid antigen test for COVID-19.”
“The simple test takes less than five minutes to administer and generates results in as little as 20 minutes without the need for a machine,” the website states. “Equally important, Innova and its partner have been able to manufacture the product at scale, presently in excess of ten million kits per day.”
However, The Los Angeles Times claims that in September 2020 Innova “secured a vast supply of rapid coronavirus tests from an obscure Chinese manufacturer before established pharmaceutical companies could do so.” The LA Times adds that Innova distributed more than 70,000 tests in the United States even though the FDA had not acted on Innova’s application to sell its tests domestically.
This may have contributed to the FDA’s dire warning to discontinue use and discard the Innova tests.
UK’s MHRA Disagrees with FDA Warning
But in the UK, it is a different story. According to The Guardian, Innova’s lateral flow tests are the cornerstone of “Operation Moonshot”, the government’s mass testing plan aimed at reducing community transmission by identifying asymptomatic COVID-19 positive people using an inexpensive, quick-response test distributed for home use and to workplaces, schools, and test centers.
In “Rapid COVID Tests Used in Mass UK Programme Get Scathing US Report,” The Guardian reports that “criticism of the Innova test has been fierce” in the UK following the FDA’s “scathing review” of its rapid antigen test. However, after investigating the concerns raised by the FDA, the UK’s Medicines and Healthcare Products Regulatory Agency (MHRA) reiterated that the Innova lateral flow tests were safe to use.
“We have now concluded our review of the risk assessment and are satisfied that no further action is necessary or advisable at this time,” said Graeme Tunbridge, MHRA Director of Devices, in a UK government response statement which announced that the MHRA was extending the Exceptional Use Authorization (EUA) for the tests use in its national asymptomatic testing program through Aug. 28, 2021. “This has allowed us to extend the EUA to allow ongoing supply of these [lateral flow devices] over the coming months. People can be assured of the MHRA’s work to continuously monitor the tests in use; as is our standard process.”
Innova Defends Its Test, FDA Repeats Its Warning
An Innova spokesperson told The Guardian: “The Innova rapid antigen test has been widely used, studied, tested, scrutinized and analyzed with data supporting the efficacy of the test from the largest mass testing program out of the UK. Innova is confident about the quality of its product.”
However, the FDA maintains Innova’s COVID-19 lateral flow test included labeling that provided “false and misleading” estimates of the test’s clinical performance. In its warning letter to Innova, the FDA also pointed out that the clinical study data Innova submitted as part of its EUA request was “identical to data previously provided by other manufacturers in their EUA requests. The data reliability and accuracy issues noted herein raise significant concerns that the performance of the SARS-CoV-2 Antigen Rapid Qualitative Test has not been adequately established, and that the products distributed by Innova without FDA approval, clearance, or authorization could present a serious risk to the public health.”
Pathologists and clinical laboratory professionals in this country will want to watch carefully to see if efforts to increase regulatory scrutiny of diagnostic tests in the UK spills across the Atlantic.
Unlike most other CRISPR/Cas-9 therapies that are ex vivo treatments in which cells are modified outside the body, this study was successful with an in vivo treatment
Use of CRISPR-Cas9 gene editing technology for therapeutic purposes can be a boon for clinical laboratories. Not only is this application a step forward in the march toward precision medicine, but it can give clinical labs the essential role of sequencing a patient’s DNA to help the referring physician identify how CRISPR-Cas9 can be used to edit the patient’s DNA to treat specific health conditions.
Most pathologists and medical lab managers know that CRISPR-Cas9 gene editing technology has been touted as one of the most significant advances in the development of therapies for inherited genetic diseases and other conditions. Now, a pair of biotech companies have announced a milestone for CRISPR-Cas9 with early clinical data involving a treatment delivered intravenously (in vivo).
As with other therapies, determining which patients are suitable candidates for specific treatments is key to the therapy’s success. Therefore, clinical laboratories will play a critical role in identifying those patients who would most likely benefit from a CRISPR-delivered therapy.
Such is the goal of precision medicine. As methods are refined that can correct unwelcome genetic mutations in a patient, the need to do genetic testing to identify and diagnose whether a patient has a specific gene mutation associated with a specific disease will increase.
Cleveland Clinic describes ATTR amyloidosis as a “protein misfolding disorder” involving transthyretin (TTR), a protein made in the liver. The disease leads to deposits of the protein in the heart, nerves, or other organs.
According to Intellia and Regeneron, NTLA-2001 is designed to inactivate the gene that produces the protein.
The interim clinical trial data indicated that one 0.3 mg per kilogram dose of the therapy reduced serum TTR by an average of 87% at day 28. A smaller dose of 0.1 mg per kilogram reduced TTR by an average of 52%. The researchers reported “few adverse events” in the six study patients, “and those that did occur were mild in grade.”
Current treatments, the companies stated, must be administered regularly and typically reduce TTR by about 80%.
“These are the first ever clinical data suggesting that we can precisely edit target cells within the body to treat genetic disease with a single intravenous infusion of CRISPR,” said Intellia President and CEO John Leonard, MD, in a press release. “The interim results support our belief that NTLA-2001 has the potential to halt and reverse the devastating complications of ATTR amyloidosis with a single dose.”
He added that “solving the challenge of targeted delivery of CRISPR-Cas9 to the liver, as we have with NTLA-2001, also unlocks the door to treating a wide array of other genetic diseases with our modular platform, and we intend to move quickly to advance and expand our pipeline.”
“It’s an important moment for the field,” MIT biomedical engineer Daniel Anderson, PhD (above), told Nature. Anderson is Professor, Chemical Engineering and Institute for Medical Engineering and Science at the Koch Institute for Integrative Cancer Research at MIT. “It’s a whole new era of medicine,” he added. Advances in the use of CRISPR-Cas9 for therapeutic purposes will create the need for clinical laboratories to sequence patients’ DNA to help physicians determine the best uses for a CRISPR-Cas9 treatment protocol. (Photo copyright: Massachusetts Institute of Technology.)
In Part 2 of the Phase 1 trial, Intellia plans to evaluate the new therapy at higher doses. After the trial is complete, “the company plans to move to pivotal studies for both polyneuropathy and cardiomyopathy manifestations of ATTR amyloidosis,” the press release states.
Previous clinical trials reported results for ex vivo treatments in which cells were removed from the body, modified with CRISPR-Cas9 techniques, and then reinfused. “But to be able to edit genes directly in the body would open the door to treating a wider range of diseases,” Nature reported.
How CRISPR-Cas9 Works
On its website, CRISPR Therapeutics, a company co-founded by Emmanuelle Charpentier, PhD, a director at the Max Planck Institute for Infection Biology in Berlin, and inventor of CRISPR-Cas9 gene editing, explained that the technology “edits genes by precisely cutting DNA and then letting natural DNA repair processes take over.” It can remove fragments of DNA responsible for causing diseases, as well as repairing damaged genes or inserting new ones.
The therapies have two components: Cas9, an enzyme that cuts the DNA, and Guide RNA (gRNA), which specifies where the DNA should be cut.
Charpentier and biochemist Jennifer Doudna, PhD, Nobel Laureate, Professor of Chemistry, Professor of Biochemistry and Molecular Biology, and Li Ka Shing Chancellor’s Professor in Biomedical and Health at the University of California Berkeley, received the 2020 Nobel Prize in Chemistry for their work on CRISPR-Cas9, STAT reported.
It is important to pathologists and medical laboratory managers to understand that multiple technologies are being advanced and improved at a remarkable pace. That includes the technologies of next-generation sequencing, use of gene-editing tools like CRISPR-Cas9, and advances in artificial intelligence, machine learning, and neural networks.
At some future point, it can be expected that these technologies will be combined and integrated in a way that allows clinical laboratories to make very early and accurate diagnoses of many health conditions.
Of interest to clinical pathologists is the finding that sequencing the genomes of Humans and Neanderthals revealed a link between severity of COVID-19 infections and Neanderthal DNA
Genetic scientists from the University of California Santa Cruz have learned that just 7%—or less—of our DNA is unique to the human species, with the remainder of our genomes coming from other archaic species, such as Neanderthal and Denisovan.
Why should this matter to pathologists and clinical laboratories? Because a broader knowledge of how DNA evolves may help researchers and healthcare providers better understand how a modern family’s DNA can change over generations. In turn, these insights may lead to precision medicine tools for personalized diagnosis and treatment.
“We find that a low fraction, 1.5 to 7%, of the human genome is uniquely human, with the remainder comprising lineages shared with archaic hominins from either ILS [incomplete lineage sorting] or [genetic] admixture,” wrote the paper’s authors.
To complete their study, the researchers used DNA extracted from fossils of Neanderthals and Denisovans, as well as genetic information from 279 people from various locations around the world.
One goal was to determine what part of a modern human’s genome is truly unique. Though only a small percentage of our entire genome, those portions are important.
“We can tell those regions of the genome are highly enriched for genes that have to do with neural development and brain function,” Richard Green, PhD, Associate Professor of Biomolecular Engineering at the University of California Santa Cruz and co-author of the paper, told the Associated Press (AP).
In addition to highlighting what makes modern humans unique as a species, the study also suggests, “That we’re actually a very young species. Not that long ago, we shared the planet with other human lineages,” said Joshua Akey, PhD, Professor of Ecology and Evolutionary Biology and the Lewis-Sigler Institute for Integrative Genomics at Princeton University. Akey co-authored the Science Advances research paper.
Human/Neanderthal Genetic Overlap
The genetic research being conducted at the University of California Santa Cruz is just the most recent in a flurry of studies over the past decade investigating the Neanderthal genome. Most of these studies point to the vast similarities between humans and Neanderthals, but also to how similar humans are to each other.
“Humans have more than three billion letter pairs of DNA in their genome: It turns out less than 2% of that spells out around 20,000 specific genes, or sets of instructions that code for the proteins that make our tissues,” wrote zooarcheologist Anna Goldfield, PhD (above), Adjunct Instructor Cosumnes River College in Sacramento, Calif., and at the University of California, Davis, in Sapiens. “All humans share the same basic set of genes (we all have a gene for earwax consistency, for example), but there are subtle variations in the DNA spelling of those genes from individual to individual that result in slightly different proteins (sticky earwax versus dry earwax) … Overall, any given human being is about 99.9% similar, genetically, to any other human being,” she added. It is those variations that could lead to precision medicine treatments, personalized drug therapies, and clinical laboratory tests that inform physicians about relevant genetic variations. (Photo copyright: Boston University.)
Practically Everyone Has Neanderthal DNA
Understanding that humans and Neanderthals are 93-98.5% similar genetically may—or may not—come as a surprise. In delving into those similarities and differences researchers are making interesting and potentially important discoveries.
For example, researchers have studied a gene that occurs in both modern humans and Neanderthal fossils that has to do with how the body responds to carcinogenic hydrocarbons, such as smoke from burning wood. Neanderthals were far more sensitive to the carcinogens, but also had more genetic variants, such as single-nucleotide polymorphisms, that could neutralize their effects.
Most modern humans carry some Neanderthal DNA. For some time, scientists thought that Africans likely did not carry Neanderthal DNA, since ancient people tended to migrate out of Africa and met Neanderthals in Europe. More recent research, however, shows that migration patterns were more complex than previously thought, and that the ancient people migrated back to Africa bringing Neanderthal DNA with them.
“Our results show this history was much more interesting and there were many waves of dispersal out of Africa, some of which led to admixture between modern humans and Neanderthals that we see in the genomes of all living individuals today,” Akey told CNN.
Neanderthal DNA and COVID-19
Researchers have found that having Neanderthal DNA may affect the health of modern people who carry it. Perception of pain, immune system function, and even hair color and sleeping patterns have been associated with having Neanderthal DNA.
Scientists have even found a potential link between severe COVID-19 infection and Neanderthal DNA, CNN reported.
The researchers added, “It turns out that this gene variant was inherited by modern humans from the Neanderthals when they interbred some 60,000 years ago. Today, the people who inherited this gene variant are three times more likely to need artificial ventilation if they are infected by the novel coronavirus SARS-CoV-2.”
Of course, these links and associations are preliminary science. John Capra, PhD, Research Associate Professor of Biological Sciences and Associate Professor of Biomedical Informatics at the University of California, San Francisco says, “We can’t blame Neanderthals for COVID. That’s a damaging response, and that’s why I want to emphasize so much [that] the social and environmental factors are the real things that people should be worrying about,” he told CNN.
“That said,” he continued, “as a geneticist, I think it is important to know the evolutionary history of the genetic variants we find that do have effects on traits. The effects of Neanderthal DNA traits are detectable, but they’re modest.”
Nevertheless, genetic scientists agree that understanding the genetic roots of disorders could lead to breakthroughs that result in new types of clinical laboratory tests designed to guide precision medicine treatments.
Use of such precision diagnostics offer ‘early detection, localization, and the opportunity to monitor response to therapy,’ say the MIT scientists
Oncologists and medical laboratory scientists know that most clinical laboratory tests currently used to diagnose cancer are either based on medical imaging technologies—such as CT scans and mammography—or on molecular diagnostics that detect cancer molecules in the body’s urine or blood.
Now, in a study being conducted at the Massachusetts Institute of Technology (MIT), researchers have developed diagnostic nanoparticles that can not only detect cancer cells in bodily fluids but also image the cancer’s location. This is the latest example of how scientists are combining technologies in new ways in their efforts to develop more sensitive diagnostic tests that clinical laboratories and other providers can use to detect cancer and other health conditions.
Precision diagnostics such as molecular, imaging, and analytics technologies are key tools in the pursuit of precision medicine.
“Therapeutic outcomes in oncology may be aided by precision diagnostics that offer early detection, localization, and the opportunity to monitor response to therapy,” the authors wrote, adding, “Through tailored target specificities, this modular platform has the capacity to be engineered as a pan-cancer test that may guide treatment decisions for numerous tumor type.”
Development of Multimodal Diagnostics
The MIT scientists are developing a “multimodal” diagnostic that uses molecular screening combined with imaging techniques to locate where a cancer began in the body and any metastases that are present.
“In principle, this diagnostic could be used to detect cancer anywhere in the body, including tumors that have metastasized from their original locations,” an MIT new release noted.
“This is a really broad sensor intended to respond to both primary tumors and their metastases,” said biological engineer Sangeeta Bhatia, MD, PhD (above), in the news release. Bhatia is the John and Dorothy Wilson Professor of Health Sciences and Technology and Electrical Engineering and Computer Science at MIT and senior author of the study.
“It can trigger a urinary signal and also allow us to visualize where the tumors are,” she added. Bhatia previously worked on the development of cancer diagnostics that can produce synthetic biomarkers which are detectable in urine samples.
“The vision is that you could use this in a screening paradigm—alone or in conjunction with other tests—and we could collectively reach patients that do not have access to costly screening infrastructure today,” said Sangeeta Bhatia, MD, PhD (above), in the MIT news release. “Every year you could get a urine test as part of a general check-up. You would do an imaging study only if the urine test turns positive to then find out where the signal is coming from. We have a lot more work to do on the science to get there, but that’s where we would like to go in the long run.” (Photo copyright: NBC News.)
Precision Diagnostic Assists Assessment of Response to Cancer Therapy
For their research, the scientists added a radioactive tracer known as copper-64 to the nanoparticles. This enabled the particles to be used for positron emission tomography (PET) imaging. The particles were coated with a peptide that induced them to accumulate at tumor sites and insert themselves into cell membranes, producing a strong imaging signal for tumor detection.
The researchers tested their diagnostic nanoparticles in mouse models of metastatic colon cancer where tumor cells had traversed to the liver or the lungs. After treating the cancer cells with a chemotherapy regimen, the team successfully used both urine and imaging to determine how the tumors were responding to the treatment.
Bhatia is hopeful that this type of diagnostic could be utilized in assessing how patients are responding to treatment therapies and the monitoring of tumor recurrence or metastasis, especially for colon cancer.
What is unique about the approach used by Bhatia’s team is that one application of the copper-64 tracer can be used in vivo, in combination with imaging technology. The other application of the copper-64 tracer is in vitro in a urine specimen that can be tested by clinical laboratories.
“Those patients could be monitored with the urinary version of the test every six months, for instance. If the urine test is positive, they could follow up with a radioactive version of the same agent for an imaging study that could indicate where the disease had spread,” Bhatia said in the news release. “We also believe the regulatory path may be accelerated with both modes of testing leveraging a single formulation.”
The graphic above, taken from the MIT news release, shows how “multimodal nanosensors (1) are engineered to target and respond to hallmarks in the tumor microenvironment. The nanosensors provide both a noninvasive urinary monitoring tool (2) and an on-demand medical imaging agent (3) to localize tumor metastasis and assess response to therapy,” the news release states. (Photo and caption copyright: Massachusetts Institute of Technology.)
Precision Medicine Cancer Screening Using Nano Technologies
Bhatia hopes that the nanoparticle technology may be used as a screening tool in the future to detect any type of cancer.
Her previous research with nanoparticle technology determined that a simple urine test could diagnose bacterial pneumonia and indicate if antibiotics could successfully treat that illness, the news release noted.
Nanoparticle-based technology might be adapted in the future to be part of a screening assay that determines if cancer cells are present in a patient. In such a scenario, clinical laboratories would be performing tests on urine samples while imaging techniques are simultaneously being used to diagnose and monitor cancers.
Surgical pathologists may also want to monitor the progress of this research, as it has the potential to be an effective tool for monitoring cancer patients following surgery, chemotherapy, or radiation therapy.
All-of-Us program is free to participants and provides data to more than 800 research studies for cancer, COVID-19, Alzheimer’s, and other diseases; findings will lead to new biomarkers for clinical laboratory tests
It is hard to say no to free. At least that is what the National Institutes of Health (NIH) is counting on to help increase the size and diversity of its database of genetic sequences. The NIH’s All-of-Us Research Program is offering free genetic testing for all participants in the program, as well as free wearable Fitbits for those selected to provide lifestyle and behavior data.
Many pathologists and clinical laboratory managers know that this group of researchers hope to build a database of more than one million genetic sequences to better understand “how certain genetic traits affect underrepresented communities, which could greatly affect the future of customized healthcare,” CBS affiliate 8 News Now reported.
“Customized healthcare” is a euphemism for precision medicine, and genetic sequencing is increasingly playing a key role in the development of personalized diagnostics and therapeutics for cancer and other deadly diseases.
In “VA’s ‘Million Veterans Program’ Research Study Receives Its 100,000th Human Genome Sequence,” Dark Daily described how the NIH’s All-of-Us program was launched in 2018 to aid research into health outcomes influenced by genetics, environments, and lifestyle. At that time, the program had biological samples from more than 270,000 people with a goal of one million participants.
Matthew Thombs, Senior Project Manager of Digital Health Technology at Scripps Research in La Jolla, Calif., joined the All-of-Us program after losing a family member “to a condition I believe could have been managed with changes to their lifestyle,” he told 8 News Now.
“What we are building will empower researchers with the information needed to make such conclusions (about possible need to change lifestyles) and forever alter how diseases are treated,” he added. “I hope that what we are doing here will help my son grow up in a world where healthcare is more of a priority, and many of the ailments we see today are things of the past.”
Such genetic testing could discover biomarkers for future personalized clinical laboratory diagnostics and drug therapies, a key aspect of precision medicine.
The photo above shows an All-of-Us participant being prepped to provide a biological sample for genetic testing. According to Matthew Thombs, Senior Project Manager of Digital Health Technology at Scripps Research, “participants can provide as much or as little information as they like, every single data point matters.” The collected data is shared anonymously with more than 800 research studies for COVID-19, Alzheimer’s, cancer, and other diseases, 8 News Now reported. (Photo copyright: KLAS-TV.)
Scripps Research Integrates Mobile Health Technology into All-of-Us Program
A critical aspect of the NIH’s research is determining how people’s behavior combined with their genetics may predispose them to certain diseases. Nonprofit research institution Scripps Research is working with the NIH’s All of Us Research Program to enroll and collect biological samples from one million US residents.
In addition, Scripps is fitting study participants with wearable mobile health devices to capture data on their habits and lifestyles.
“Until now, the treatment and prevention of disease has been based on a ‘one-size-fits-all’ approach, with most therapeutics tailored for the ‘average patient’. However, advances in genomic sequencing, mobile health technologies, and increasingly sophisticated informatics are ushering in a new era of precision medicine. This new approach takes into account differences in people’s genes, environment, and lifestyles giving medical professionals resources to design targeted treatments and prevention strategies for the individual,” Scripps states on its website.
Can wearable fitness devices and related data contribute to research on genetics and healthcare outcomes? Scripps aims to find out. It has fitted 10,000 people in the All-of-Us program with Fitbit devices (Fitbit Charge 4 tracker or Fitbit Versa 3 smartwatch) at no cost. Since February, Scripps has distributed 10,000 Fitbit wearable devices through the All-of-Us program.
“By sharing information about their health, habits, and environment, participants will help researchers understand why people get sick or stay healthy,” the Scripps website adds.
The Scripps researchers plan to analyze how the people use the wearable devices. They are also accumulating data about participants’ physical activity, heart rate, sleep, and other health metrics and outcomes “as part of the broader All of Us program,” a Scripps news release explained.
“This is the first time All of Us is distributing devices to participants. Our goal is to better understand how participants engage during research studies in order to continually improve user experience and participation. We also expect to learn more about how wearable data may inform the personalization of healthcare,” said Julia Moore Vogel, PhD, Director of The Participant Center at the All of Us Research Program at Scripps Research, in the news release.
All-of-Us Program Records ‘Significant Progress in Participant Diversity’
As of June, the NIH has enrolled 386,000 participants into the All-of-Us program, with 278,000 consenting to all of the program’s steps. Eighty percent of biological samples in the collection are from people in communities that have been under-represented in previous biomedical research an NIH new release noted. According to the NIH, that gives the All-of-Us research program “the most diverse dataset.”
What will all this research ultimately bring to clinical laboratories? Who knows? Nevertheless, if federal institutions like the NIH and non-profit research companies like Scripps believe precision medicine is worth investing in, then the All-of-Us program is worth watching.
A diverse database of a million genetic sequences combined with lifestyle and behavioral data may lead to new and improved personalized diagnostics and drug therapies.
