Columbia University’s MediSCAPE enables surgeons to examine tissue structures in vivo and a large-scale clinical trial is planned for later this year
Scientists at Columbia University in New York City have developed a high-speed 3D microscope for diagnosis of cancers and other diseases that they say could eventually replace traditional biopsy and histology “with real-time imaging within the living body.”
The technology is designed to enable in situ tissue analysis. Known as MediSCAPE, the microscope is “capable of capturing images of tissue structures that could guide surgeons to navigate tumors and their boundaries without needing to remove tissues and wait for pathology results,” according to a Columbia University news story.
“The way that biopsy samples are processed hasn’t changed in 100 years, they are cut out, fixed, embedded, sliced, stained with dyes, positioned on a glass slide, and viewed by a pathologist using a simple microscope. This is why it can take days to hear news back about your diagnosis after a biopsy,” said Hillman in the Columbia news story.
“Our 3D microscope overcomes many of the limitations of prior approaches to enable visualization of cellular structures in tissues in the living body. It could give a doctor real-time feedback about what type of tissue they are looking at without the long wait,” she added in I News.
Hillman’s team previously used the technology—originally dubbed SCAPE for “Swept Confocally Aligned Planar Excitation” microscopy—to capture 3D images of neurological activity in living samples of worms, fish, and flies. In their recent study, the researchers tested the technology with human kidney tissue, a human volunteer’s tongue, and a mouse with pancreatic cancer.
“This was something I didn’t expect—that I could actually look at structures in 3D from different angles,” said nephropathologist and study co-author Shana M. Coley, MD, PhD (above), Director, Transplant Translational Research and Multiplex Imaging Center at Arkana Laboratories, in the Columbia news story. At the time of the Columbia study, Coley was an assistant professor at Columbia University and a renal pathologist at the Columbia University Medical Center. “We found many examples where we would not have been able to identify a structure from a 2D section on a histology slide, but in 3D we could clearly see its shape. In renal pathology in particular, where we routinely work with very limited amounts of tissue, the more information we can derive from the sample, the better for delivering more effective patient care,” she added. (Photo copyright: Arkana Laboratories.)
How MediSCAPE Works
Unlike traditional 3D microscopes that use a laser to scan tiny spots of a tissue sample and then assemble those points into a 3D image, the MediSCAPE 3D microscope “illuminates the tissue with a sheet of light—a plane formed by a laser beam that is focused in a special way,” I News reported.
The MediSCAPE microscope thus captures 2D slices which are rapidly stacked into 3D images at a rate of more than 10 volumes per second, according to I News.
“One of the first tissues we looked at was fresh mouse kidney, and we were stunned to see gorgeous structures that looked a lot like what you get with standard histology,” said optical systems engineer and the study’s lead author, Kripa Patel, PhD, in the Columbia news story. “Most importantly, we didn’t add any dyes to the mouse—everything we saw was natural fluorescence in the tissue that is usually too weak to see.
“Our microscope is so efficient that we could see these weak signals well,” she continued, “even though we were also imaging whole 3D volumes at speeds fast enough to rove around in real time, scanning different areas of the tissue as if we were holding a flashlight.”
A big advantage of the technology, Hillman noted, is the ability to scan living tissue in the body.
“Understanding whether tissues are staying healthy and getting good blood supply during surgical procedures is really important,” she said in the Columbia news story. “We also realized that if we don’t have to remove (and kill) tissues to look at them, we can find many more uses for MediSCAPE, even to answer simple questions such as ‘what tissue is this?’ or to navigate around precious nerves. Both of these applications are really important for robotic and laparoscopic surgeries, where surgeons are more limited in their ability to identify and interact with tissues directly.”
Clinical Trials and FDA Clearance
Early versions of the SCAPE microscopes were too large for practical use by surgeons, so Columbia post-doctoral research scientist Wenxuan Liang, PhD, co-author of the study, helped the team develop a smaller version that would fit into an operating room.
Later this year, the researchers plan to launch a large-scale clinical trial, I News reported. The Columbia scientists hope to get clearance from the US Food and Drug Administration (FDA) to develop a commercialized version of the microscope.
“They will initially seek permission to use it for tumor screening and guidance during operations—a lower and easier class of approval—but ultimately, they hope to be allowed to use it for diagnosis,” Liang wrote.
Charles Evans, PhD, research information manager at Cancer Research UK, told I News, “Using surgical biopsies to confirm a cancer diagnosis can be time-consuming and distressing for patients. And ensuring all the cancerous tissue is removed during surgery can be very challenging unaided.”
He added, “more work will be needed to apply this technique in a device that’s practical for clinicians and to demonstrate whether it can bring benefits for people with cancer, but we look forward to seeing the next steps.”
Will the Light Microscope be Replaced?
In recent years, research teams at various institutions have been developing technologies designed to enhance or even replace the traditional light microscope used daily by anatomic pathologists across the globe.
And digital scanning algorithms for creating whole-slide images (WSIs) that can be analyzed by pathologists on computer screens are gaining in popularity as well.
Such developments may spark a revolution in surgical pathology and could signal the beginning of the end of the light microscope era.
Surgical pathologists should expect to see a steady flow of technologically advanced systems for tissue analysis to be submitted to the FDA for pre-market review and clearance for use in clinical settings. The light microscope may not disappear overnight, but there are a growing number of companies actively developing different technologies they believe can diagnose either or both tissue and digital images of pathology slides with accuracy comparable to a pathologist.
UW scientists believe their at-home test could help more people on anticoagulants monitor their clotting levels and avoid blood clots
In a proof-of-concept study,researchers at the University of Washington (UW) are developing a new smartphone-based technology/application designed to enable people on anticoagulants such as warfarin to monitor their clotting levels from the comfort of their homes. Should this new test methodology prove successful, clinical laboratories may have yet one more source of competition from this at-home PT/INR test solution.
PT/INR (prothrombin time with an international normalized ratio) is one of the most frequently performed clinical laboratory blood tests. This well-proven assay helps physicians monitor clotting in patients taking certain anticoagulation medications.
However, the process can be onerous for those on anticoagulation drugs. Users of this type of medication must have their blood tested regularly—typically by a clinical laboratory—to ensure the medication is working effectively. When not, a doctor visit is required to adjust the amount of the medication in the bloodstream.
Alternatively, where a state’s scope of practice law permits, pharmacists can perform a point-of-care test for the patient, thus allowing the pharmacist to appropriately adjust the patient’s prescription.
Though in the early stages of its development, were the UW’s new smartphone-based blood clotting test to be cleared by the federal Food and Drug Administration (FDA), then users would only need to see a doctor when their readings went and stayed out of range, according to Clinical Lab Products (CLP).
Enabling Patients to Test Their Blood More Frequently
More than eight million Americans with mechanical heart valves or other cardiac conditions take anticoagulants, and 55% of people taking those medication say they fear experiencing life-threatening bleeding, according to the National Blood Clot Alliance.
They have reason to be worried. Even when taking an anticoagulation drug, its level may not stay within therapeutic range due to the effects of food and other medications, experts say.
“In the US, most people are only in what we call the ‘desirable range’ of PT/INR levels about 64% of the time. This number is even lower—only about 40% of the time—in countries such as India or Uganda, where there is less frequent testing. We need to make it easier for people to test more frequently,” said anesthesiologist and co-author of the study Kelly Michaelsen, MD, PhD, UW Assistant Professor of Anesthesiology and Pain Medicine, in a UW news release.
“Back in the day, doctors used to manually rock tubes of blood back and forth to monitor how long it took a clot to form. This, however, requires a lot of blood, making it infeasible to use in home settings,” said senior study author Shyam Gollakota, PhD (above), professor and head of the Networks and Mobile Systems Lab at UW’s Paul G. Allen School of Computer Science and Engineering, in the UW news release. “The creative leap we make here is that we’re showing that by using the vibration motor on a smartphone, our algorithms can do the same thing, except with a single drop of blood. And we get accuracy similar to the best commercially available techniques [used by clinical laboratories].” (Photo copyright: University of Washington.)
How UW’s Smartphone-based Blood Clotting Test Works
The UW researchers were motived by the success of home continuous glucose monitors, which enable diabetics to continually track their blood glucose levels.
According to the Nature Communications paper, here’s how UW’s “smartphone-based micro-mechanical clot detection system” works:
Samples of blood plasma and whole blood are placed into a thimble-size plastic cup.
The cup includes a small copper particle and thromboplastin activator.
When the smartphone is turned on and vibrating, the cup (which is mounted on an attachment) moves beneath the phone’s camera.
Video analytic algorithms running on the smartphone track the motion of the copper particle.
If blood clots, the “viscous mixture” slows and stops.
PT/INR values can be determined in less than a minute.
“Our system visually tracks the micro-mechanical movements of a small copper particle in a cup with either a single drop of whole blood or plasma and the addition of activators,” the researchers wrote in Nature Communications. “As the blood clots, it forms a network that tightens. And in that process, the particle goes from happily bouncing around to no longer moving,” Michaelsen explained.
The system produced these results:
140 de-identified plasma samples: PT/INR with inter-class correlation coefficients of 0.963 and 0.966.
79 de-identified whole blood samples: 0.974 for both PT/INR.
Another At-home Test That Could Impact Clinical Laboratories
The UW scientists intend to test the system with patients in their homes, and in areas and countries with limited testing resources, Medical Device Network reported.
Should UW’s smartphone-based blood-clotting test be cleared by the FDA, there could be a ready market for it. But it will need to be offered it at a price competitive with current clinical laboratory assays for blood clotting, as well as with the current point-of-care tests in use today.
Nevertheless, UW’s work is the latest example of a self-testing methodology that could become a new competitor for clinical laboratories. This may motivate medical laboratories to keep PT/INR testing costs low, while also reporting quick and accurate results to physicians and patients on anticoagulants.
Alternatively, innovative clinical laboratories could develop a patient management service to oversee a patient’s self-testing at home and coordinate delivery of the results with the patient’s physician and pharmacist. This approach would enable the lab to add value for which it could be reimbursed.
Labcorp, the commercial laboratory giant headquartered in Burlington, N.C., has billions of diagnostic test results archived. It takes samplings of those results and runs them through a machine learning algorithm that compares the data against a condition of interest, such as chronic kidney disease (CKD). Machine learning is a subdiscipline of AI.
Based on patterns it identifies, the machine learning algorithm can predict future test results for CKD based on patients’ testing histories, explained Stan Letovsky, PhD, Vice President for AI, Data Sciences, and Bioinformatics at Labcorp. Labcorp has found the accuracy of those predictions to be better than 90%, he added.
Labcorp also has created an AI-powered dashboard that—once layered over an electronic health record (EHR) system—allows physicians to configure views of an individual patient’s existing health data and add a predictive view based on the machine learning results.
For anatomic pathologists, this type of setup can quickly bring a trove of data into their hands, allowing them to be more efficient with patient diagnoses. The long-term implications of using this technology are significant for pathology groups’ bottom line.
Stan Letovsky, PhD (above), Vice President for AI, Data Sciences, and Bioinformatics at Labcorp, discussed AI developments in digital pathology during his keynote address at the 2022 Executive War College in New Orleans. “The best thing as a community that we can do for patients and their physicians with AI is to identify care gaps early on,” he said, adding, “If pathologists want to grow and improve their revenue, they have to be more productive.” (Photo copyright: Dark Intelligence Group).
Mayo Clinic Plans to Digitize 25 Million Glass Slides
In other AI developments, Mayo Clinic in Rochester, Minn., has started a project to digitally scan 25 million tissue samples on glass slides—some more than 100 years old. As part of the initiative, Mayo wants to digitize five million of those slides within three years and put them on the cloud, said pathologist and physician scientist Jason Hipp, MD, PhD, Chair of Computational Pathology and AI at Mayo Clinic.
“We want to be a hub within Mayo Clinic for digital pathology,” Hipp told Executive War College attendees during his keynote address.
Hipp views his team as the bridge between pathologists and the data science engineers who develop AI algorithms. Both sides must collaborate to move AI forward, he commented, yet most clinical laboratories and pathology groups have not yet developed those relationships.
“We want to embed both sides,” Hipp added. “We need the data scientists working with the pathologists side by side. That practical part is missing today.”
The future medical laboratory at Mayo Clinic will feature an intersection of pathology, computer technology, and patient data. Cloud storage is a big part of that vision.
“AI requires storage and lots of data to be practical,” Hipp said.
27th annual meeting of medical laboratory and pathology managers delivers insights on the path ahead for diagnostics, ranging from the supply chain shortage and the ‘Great Resignation’ to advances in artificial intelligence and whole genome sequencing in service of precision medicine
What’s coming as healthcare providers move to post-COVID-19 pandemic workflows will be of keen interest to clinical laboratory leaders attending this critical event. Several new and dynamic market changes are reshaping the development of, ordering, and reimbursement for medical laboratory tests. They include:
Millennials as change agents in how care is accessed and delivered.
New buyers of large volumes of clinical lab tests, such as retail pharmacies.
How clinical laboratories can earn new sources of revenue while supporting precision medicine.
Clinical Labs Should Prepare for the ‘Coming Roller Coaster Ride’
Robert L. Michel, Editor-in-Chief of Dark Daily’s sister publication, The Dark Report, and Founder of the Executive War College, described the “coming roller coaster ride” for the pathology and clinical laboratory industries.
Amid the usual operational issues labs deal with (e.g., workforce shortages, supply chain disruptions, regulatory pressures), he noted the emergence of new and powerful forces pulling clinical laboratories and pathology groups in all directions.
“One primary factor is how Millennials will use healthcare differently than Gen Xers and Baby Boomers,” Michel noted. “Similarly, Millennials will make up 75% of the pathologists and the lab workforce by 2025.
“Another major force for change will be new buyers of clinical laboratory tests,” he continued. “For example, expect to see national retail pharmacy chains build thousands of primary care clinics in their retail pharmacies. These clinics will need lab tests and will become major buyers of near-patient analyzers and lab tests.
“A third interesting factor is that a new class of in vitro diagnostics (IVD) manufacturers are developing analyzers and test systems that use minimal amounts of specimens and return answers in minutes. Primary care clinics in retail pharmacies will be interested in buying these lab testing solutions,” Michel concluded.
Robert L. Michel (above), Editor-in-Chief of The Dark Report and Founder of the Executive War College, has studied and worked with leaders of clinical laboratories and pathology groups for more than four decades. During his keynote address, he predicted that powerful economic forces are about to be unleashed on the traditional market for clinical laboratory testing. Those forces include the use of artificial intelligence (AI) in digital pathology, primary care in retail pharmacies, and increased focus on precision medicine. (Photo copyright: The Dark Intelligence Group.)
Peer-to-Peer Learning Opportunities
With approximately 90 presenters scheduled, clinical laboratory leaders from such prestigious institutions as Johns Hopkins Hospital, Mayo Clinic, United Indian Health Services, and more will facilitate peer-to-peer learnings throughout the conference.
In addition, several sessions and panel Q/A discussions will cover critical legal and regulatory issues and payer challenges facing the industry.
New Technologies, Workflows, Analytics
The 2022 Executive War College master classes, breakouts, panel discussions, and benefactor sessions will highlight several significant themes:
Lab data analytics and utilization. Sessions this year are heavily weighted toward data analytics, aggregation, and utilization. Look for case studies demonstrating the value of lab data, and where and how data has become actionable and monetized. As Dark Daily previously reported, useful data structures have been difficult to achieve for clinical laboratories; however, the case studies featured during this week’s conference will demonstrate signs of progress and highlight lessons learned.
Automation. Several case studies are planned that focus on expansion and modernization using laboratory automation. From Butler Health System, an independent hospital system in western Pa., Robert Patterson, MD, Medical Director of Pathology, Laboratory Medicine, and Laboratory Outreach, will detail steps Butler took that enabled its labs to better compete with other area health systems and national reference laboratories. Likewise, Eric Parnell, System Supervisor of Microbiology for Bronson Healthcare in southern Mich., will discuss his lab’s transition to and implementation of total laboratory automation.
Genetic testing and next-generation sequencing (NGS). Quickly becoming the foundational disruptor technology on which many new and powerful clinical laboratory tests and procedures are based, genomic testing has now become accessible and affordable. Many clinical laboratories and pathology groups are using molecular diagnostics testing to deliver clinical value to referring physicians.
Other sessions include:
Launching and scaling clinical NGS testing in a clinical environment (featuring a project at Rady Children’s Hospital in San Diego).
How labs and payers can work together to achieve better outcomes and health equity using genomic testing.
Effective ways to repurpose PCR and other genetic test instruments to build specimen volume and increase lab revenue.
Paths Forward for Clinical Labs and Pathology Groups
Another important topic being discussed at the 2022 Executive War College is how to position clinical laboratories and pathology groups for the next phase of modern healthcare.
Attracting capital for clinical labs and pathology groups.
Emerging concepts in growth strategies.
Business valuation factors.
Unexpected disruptions during sales closings.
These are just a few highlights of the informative sessions and expert speakers scheduled during this week’s 27th annual Executive War College in New Orleans. Look for more coverage in Dark Daily during the days ahead and in upcoming editions of our sister publication The Dark Report.
Full details about the 2022 Executive War College can be found by clicking on this link. (Or copy/paste this URL into your web browser: http://www.executivewarcollege.com.)
Speakers, session topics, and the conference agenda can be viewed by clicking on this link. (Or copy/paste this URL into your web browser: https://executivewarcollege.darkintelligencegroup.com/executive-war-college-agenda-2022.)
The technology is similar to the concept of a liquid biopsy, which uses blood specimens to identify cancer by capturing tumor cells circulating in the blood.
According to the American Cancer Society, lung cancer is responsible for approximately 25% of cancer deaths in the US and is the leading cause of cancer deaths in both men and women. The ACS estimates there will be about 236,740 new cases of lung cancer diagnosed in the US this year, and about 130,180 deaths due to the disease.
Early-stage lung cancer is typically asymptomatic which leads to later stage diagnoses and lowers survival rates, largely due to a lack of early disease detection tools. The current method used to detect early lung cancer lesions is low-dose spiral CT imaging, which is costly and can be risky due to the radiation hazards of repeated screenings, the news release noted.
MGH’s newly developed diagnostic tool detects lung cancer from alterations in blood metabolites and may lead to clinical laboratory tests that could dramatically improve survival rates of the deadly disease, the MGH scientist noted in a news release.
“Our study demonstrates the potential for developing a sensitive screening tool for the early detection of lung cancer,” said Leo Cheng, PhD (above), in the news release. Cheng is Associate Professor of Radiology at Harvard Medical School and Associate Biophysicist in Radiology at Massachusetts General Hospital. “The predictive model we constructed can identify which people may be harboring lung cancer. Individuals with suspicious findings would then be referred for further evaluation by imaging tests, such as low-dose CT, for a definitive diagnosis,” he added. Oncologists may soon have a clinical laboratory test for screening patients with early-stage lung cancer. (Photo copyright: OCSMRM.)
Detecting Lung Cancer in Blood Metabolomic Profiles
The MGH scientists created their lung-cancer predictive model based on magnetic resonance spectroscopy which can detect the presence of lung cancer from alterations in blood metabolites.
The researchers screened tens of thousands of stored blood specimens and found 25 patients who had been diagnosed with non-small-cell lung carcinoma (NSCLC), and who had blood specimens collected both at the time of their diagnosis and at least six months prior to the diagnosis. They then matched these individuals with 25 healthy controls.
The scientists first trained their statistical model to recognize lung cancer by measuring metabolomic profiles in the blood samples obtained from the patients when they were first diagnosed with lung cancer. They then compared those samples to those of the healthy controls and validated their model by comparing the samples that had been obtained from the same patients prior to the lung cancer diagnosis.
The predictive model yielded values between the healthy controls and the patients at the time of their diagnoses.
“This was very encouraging, because screening for early disease should detect changes in blood metabolomic profiles that are intermediate between healthy and disease states,” Cheng noted.
The MGH scientists then tested their model with a different group of 54 patients who had been diagnosed with NSCLC using blood samples collected before their diagnosis. The second test confirmed the accuracy of their model.
Predicting Five-Year Survival Rates for Lung Cancer Patients
Values derived from the MGH predictive model measured from blood samples obtained prior to a lung cancer diagnosis also could enable oncologists to predict five-year survival rates for patients. This discovery could prove to be useful in determining clinical strategies and personalized treatment decisions.
The researchers plan to analyze the metabolomic profiles of the clinical characteristics of lung cancer to understand the entire metabolic spectrum of the disease. They hope to create similar models for other illnesses and have already created a model that can distinguish aggressive prostate cancer by measuring the metabolomics profiles of more than 400 patients with that disease.
In addition, they are working on a similar model to screen for Alzheimer’s disease using blood samples and cerebrospinal fluid.
More research and clinical studies are needed to validate the utilization of blood metabolomics models as early screening tools in clinical practice. However, this technology might provide pathologists and clinical laboratories with diagnostic tests for the screening of early-stage lung cancer that could save thousands of lives each year.
MicroRNAs in urine could prove to be promising biomarkers in clinical laboratory tests designed to diagnose brain tumors regardless of the tumor’s size or malignancy, paving the way for early detection and treatment
Researchers at Nagoya University in Japan have developed a liquid biopsy test for brain cancer screening that, they claim, can identify brain tumors in patients with 100% sensitivity and 97% specificity, regardless of the tumor’s size or malignancy. Pathologists will be interested to learn that the research team developing this technology says it is simple and inexpensive enough to make it feasible for use in mass screening for brain tumors.
Neurologists, anatomic pathologists, and histopathologists know that brain tumors are one of the most challenging cancers to diagnose. This is partly due to the invasive nature of biopsying tissue in the brain. It’s also because—until recently—clinical laboratory tests based on liquid blood or urine biopsies were in the earliest stages of study and research and are still in development.
Thus, a non-invasive urine test with this level of accuracy that achieves clinical status would be a boon for the diagnosis of brain cancer.
Researchers at Japan’s Nagoya University believe they have developed just such a liquid biopsy test. In a recent study, they showed that microRNAs (tiny molecules of nucleic acid) in urine could be a promising biomarker for diagnosing brain tumors. Their novel microRNA-based liquid biopsy correctly identified 100% of patients with brain tumors.
Atsushi Natsume, MD, PhD (above), Associate Professor at Nagoya University, led the research team that created the simple, liquid biomarker urine test for central nervous system tumors that achieved 100% sensitivity and 97% specificity, regardless of the tumor’s size or malignancy. Such a non-invasive clinical laboratory test used clinically would be a boon to brain cancer diagnosis worldwide. (Photo copyright: Nagoya University.)
Well-fitted for Mass Screenings of Brain Cancer Patients
According to the National Cancer Institute (NCI), brain and other central nervous system (CNS) cancers represent 1.3% of all new cancer cases and have a five-year survival rate of only 32.6%.
In their published study, the Nagoya University scientists wrote, “There are no accurate mass screening methods for early detection of central nervous system (CNS) tumors. Recently, liquid biopsy has received a lot of attention for less-invasive cancer screening. Unlike other cancers, CNS tumors require efforts to find biomarkers due to the blood–brain barrier, which restricts molecular exchange between the parenchyma and blood.
“Additionally, because a satisfactory way to collect urinary biomarkers is lacking, urine-based liquid biopsy has not been fully investigated despite the fact that it has some advantages compared to blood or cerebrospinal fluid-based biopsy.
“Here, we have developed a mass-producible and sterilizable nanowire-based device that can extract urinary microRNAs efficiently. … Our findings demonstrate that urinary microRNAs extracted with the nanowire device offer a well-fitted strategy for mass screening of CNS tumors.”
The Nagoya University researchers focused on microRNA in urine as a biomarker for brain tumors because “urine can be collected easily without putting a burden on the human body,” said Atsushi Natsume, MD, PhD, Associate Professor in the Department of Neurosurgery at Nagoya University and a corresponding author of the study, in a news release.
A total of 119 urine and tumor samples were collected from patients admitted to 14 hospitals in Japan with CNS cancers between March 2017 and July 2020. The researchers used 100 urine samples from people without cancer to serve as a control for their test.
To extract the microRNA from the urine and acquire gene expression profiles, the research team designed an assembly-type microfluidic nanowire device using nanowire scaffolds containing 100 million zinc oxide nanowires. According to the scientists, the device can be sterilized and mass-produced, making it suitable for medical use. The instrument can extract a significantly greater variety and quantity of microRNAs from only a milliliter of urine compared to traditional methods, such as ultracentrifugation, the news release explained.
Simple Liquid-biopsy Test Could Save Thousands of Lives Each Year
While further studies and clinical trials will be necessary to affirm the noninvasive test’s accuracy, the Nagoya University researchers believe that, with the inclusion of additional technologies, a urine-based microRNA test could become a reliable biomarker for detecting brain tumors.
“In the future, by a combination of artificial intelligence and telemedicine, people will be able to know the presence of cancer, whereas doctors will be able to know the status of cancer patients just with a small amount of their daily urine,” Natsume said in the news release.
Biomarkers found in urine or blood samples that provide clinical laboratories with a simple, non-invasive procedure for early diagnosis of brain tumors could greatly increase the five-year survival rate for thousands of patients diagnosed with brain cancer each year. Such diagnostic technologies are also appropriate for hospitals and physicians interested in advancing patient-centered care.
