Such a test, if proved safe and accurate for clinical use, could be a useful diagnostic tool for anatomic pathologists
What would it mean to anatomic pathology if breast cancer could be diagnosed in an hour from a fine needle aspiration (FNA) rather than a core biopsy? A new test created by researchers affiliated with Massachusetts General Hospital in Boston may be just such a game changer. Especially in remote locations where clinical laboratory resources are in short supply.
Regardless of how the next round of research and clinical studies turn out, one reason this development is significant is that it demonstrates how newer technologies and analytical software are being combined to create a faster diagnostic test for different types of cancer.
Another benefit to this research is that it may utilize simpler, less expensive instruments. In fact, the researchers said this test can be performed for about $5. For these reasons, pathologists may want to follow the progress of these researchers as they work to improve this test so it can be used in clinical care.
Affordable Image Cytometry of FNA Specimens
Though still in development, the new image cytometry system, dubbed CytoPAN, has demonstrated the ability to diagnose breast cancer within a one-hour time frame, and, according to the study published in Science Translational Medicine, “is devoid of moving parts for stable operations, harnesses optimized antibody kits for multiplexed analysis, and offers a user-friendly interface with automated analysis for rapid diagnoses.”
The international researcher team included scientists from:
“Here, we report the development and validation of an affordable image cytometry system that allows automated and same-day molecular analyses of fine needle aspiration (FNA) specimens. Termed CytoPAN, for portable fluorescence-based image cytometry analyzer, the system performs multichannel imaging for cancer diagnosis and subtyping,” the researchers wrote.
The CytoPAN technique is minimally invasive, they note, and only requires a few cellular specimens to determine if breast cancer cells are present, with results available in one hour.
The researchers are hopeful the CytoPAN diagnostic tool (above) can be a valuable resource in developing countries and remote areas where patients face long wait times before receiving a cancer diagnosis. In these areas, diagnoses typically come after advanced symptoms, such as palpable mass lesions and malaise, become present, which can have a negative impact on patientoutcomes. And anatomic pathologists worldwide would benefit greatly from such an advance in cancer diagnostics. (Photo copyright: Jouha Min, Lip Ket Chin Center for Systems Biology, Massachusetts General Hospital.)
“Unfortunately, in many low- and middle-income countries, [breast cancer] diagnosis often takes an extraordinarily long time—up to a few months—due to a lack of specialists and limited laboratory infrastructure,” Hyungsoon Im, PhD, Assistant Professor at Harvard Medical School and one of the researchers involved in the project, told United Press International (UPI).
“From a public health aspect, it is critically important to develop new diagnostic methods that overcome these barriers,” he added.
Because FNA testing is less invasive than surgical biopsy collection, it has fewer complications and is generally considered safe. Thus, it is “feasible to be performed even in resource-limiting settings at much lower costs,” Im told UPI. “This could lead to earlier treatment and accelerate new drug testing in clinical trials.”
CytoPAN Testing and Additional Trials
The researchers tested CytoPAN on 68 breast cancer patients in South Korea.
“To determine the clinical utility of the approach,” they wrote in the published study, “we next conducted a prospective clinical study in which the FNA could be directly compared to conventional pathology results. We enrolled treatment-native patients at the Kyungpook National University Chilgok Hospital (Daegu, South Korea) and who were referred for primary surgery. All patients consented to have a preoperative breast FNA before clinically indicated surgery. The breast masses were visualized by ultrasound or computed tomography, and a coaxial needle was introduced through which FNA samples (CytoPAN) and core biopsies were obtained. Surgical specimens and/or core biopsies were processed by routine pathology and served as the gold standard.”
The CytoPAN platform detected the presence of breast cancer cells with a 100% accuracy, using as few as 50 harvested cells per collected specimen.
The test also successfully identified two key breast cancer biomarkers:
“We are also preparing additional trials in the US and other countries,” Im told UPI. “The success in those trials will (hopefully) accelerate … widespread adoption of the technology.”
The researchers are currently testing CytoPAN on a larger number of patients in Botswana, with funding from the US federal National Institutes of Health (NIH).
According to the American Cancer Society (ACS), approximately 300,000 individuals are diagnosed with breast cancer annually in the US. The Union for International Cancer Control (UICC) states on their website that, globally, there are more than two million new cases of breast cancer diagnosed each year. And more than 600,000 people died from breast cancer worldwide in 2018. A disproportionate number of those deaths occurred in developing countries that have limited resources to diagnose and treat the disease.
Additional Research for Other Applications in Cancer Testing and Pathology
The new CytoPAN technology requires minimal training, according to the researchers, and only costs about $5 per test kit. This is substantially less expensive than the price associated with other tests available on the market, UPI noted.
Though additional research and clinical trials are needed before CytoPAN will be available for widespread clinical use, a cost-effective, relatively non-invasive test that can accurately diagnose cancer within an hour would be transformational for anatomic pathology and, potentially, could save many lives.
Working from tissue slides similar to those used by surgical pathologists, the algorithm accurately detects prostate cancer with an impressive 98% sensitivity
It could be that a new milestone has been reached on the road to using artificial intelligence (AI) to help anatomic pathologists diagnose cancer and other diseases. A research collaboration between a major American university and an Israeli company recently published a study about the ability of an AI algorithm to correctly diagnose prostate cancer.
The scientists trained the Galen Prostate AI to recognize prostate cancer by having it examine images from over a million parts of stained tissue slides taken from patient biopsies. Expert pathologists labeled each image to teach the algorithm how to distinguish between healthy and abnormal tissue. The AI was then tested on 1,600 different tissue slide images that had been collected from 100 patients seen at UPMC who were suspected of having prostate cancer.
“Humans are good at recognizing anomalies, but they have their own biases or past experience,” said Rajiv Dhir, MD, Chief Pathologist and Vice Chair of Pathology at UPMC Shadyside Hospital, Professor of Biomedical Informatics at University of Pittsburgh, and senior author of the study, in a UPMC news release. “Machines are detached from the whole story. There’s definitely an element of standardizing care.”
The image above is “of prostate cancer (represented by the heatmap) detected by the Ibex Galen Prostate [AI] solution on a biopsy that was previously diagnosed as benign by the pathologist,” stated an Ibex news release announcing the UPMC study. (Photo copyright: Ibex.)
UPMC Algorithm Goes Beyond Cancer Detection, Exceeds Human Pathologists
The researchers also noted that this is the first algorithm to extend beyond cancer detection. It reported high performance for tumor grading, sizing, and invasion of surrounding nerves—clinically important features of pathology reports.
“Algorithms like this are especially useful in lesions that are atypical,” Dhir said. “A nonspecialized person may not be able to make the correct assessment. That’s a major advantage of this kind of system.”
The algorithm also flagged six slides as potentially containing abnormal tissue that were not flagged by human pathologists. However, the researchers pointed out that this difference does not mean the AI is better than humans at detecting prostate cancer. It is probable, for example, that the pathologists simply saw enough evidence of malignancy elsewhere in the patients’ samples to recommend treatment.
Other Studies Where AI Detected Prostate Cancer
The UPMC researchers are not the first to use AI to detect prostate cancer. In February, The Lancet Oncology published a study from researchers at Radboud University Medical Center (RUMC) in the Netherlands who developed a deep learning AI system that could determine the aggressiveness of prostate cancer in certain patients.
For that research, the RUMC scientists collected 6,000 biopsies from more than 1,200 men. They then showed the biopsy images along with the original pathology reports to their AI system. Using deep learning, the AI was able to detect and grade prostate cancer according to the Gleason Grading System (aka, Gleason Score), which is used to rate prostate cancer and choose appropriate treatment options. The Gleason Score ranges from one to five and most cancers obtain a score of three or higher.
“Systems such as ours can be used in different ways. First, it can be used to screen biopsies and to filter out the easy (benign) cases. This could reduce the workload for pathologists,” said Wouter Bulten, a PhD candidate at Radboud who worked on the study, in an interview with HemOnc Today. “Second, the system can be used as a second opinion after the pathologist’s initial read. The system can flag a case if its opinion differs from that of the pathologist. It also can give feedback during the first read, showing the pathologist where to look. In this case, the pathologist needs only to confirm the opinion of the AI system.”
Can Today’s AI Outperform Human Pathologists?
In their research, the Radboud team discovered that their AI system was able to achieve pathologist-level performance and, in some cases, even performed better than human pathologists. However, they do not foresee AI replacing the need for pathologists, but rather emerging as another method to use in cancer detection and treatment.
“We see our system as an additional tool that the pathologist can use. Although our system performs very well, it still makes mistakes,” stated Bulten. “These mistakes are often different from those a human would make. We believe that when you merge the expertise of the pathologist with the second opinion of an AI system, you get the best of both worlds.”
According to the American Cancer Society, prostate cancer is the second most common cancer among men in the US, after skin cancer. The organization estimates there will be approximately 191,930 new cases of prostate cancer diagnosed and about 33,330 deaths from the disease in the US in 2020.
Though the UPMC study focused only on prostate cancer, the scientists believe their algorithm can be trained to detect other types of cancer as well. AI in clinical diagnostics is clearly progressing, however more studies will be required. Nevertheless, if AI can truly become a useful tool for anatomic pathologists to detect cancer earlier, we may see a welcomed reduction in cancer deaths.
She worked with researchers at the University of Manchester in England to identify volatile biomarkers for Parkinson’s disease that may lead to first noninvasive screening
Clinical pathologists and medical laboratories are used to working with certain biological indicators that drive diagnostics and clinical laboratory testing. Mostly, those biomarkers are contained within various liquid samples, such as blood and urine. But what if a person’s odor could accurately predict risk for certain diseases as well?
Joy Milne, a retired nurse from Perth, Scotland, is the women whose heightened sense of smell enabled her to detect her husband’s Parkinson’s a decade before he was diagnosed with the disease.
Of course, Milne did not know at the time that what she was smelling was in fact a disease. She told NPR that she first noticed that her husband’s smell had changed from “his lovely male musk smell,” which she’d noticed when they first met, into “this overpowering sort of nasty yeast smell.”
Frequent washing did not remove the odor and as time went on the smell became stronger. When aspects of her husband’s personality and sleep habits also began to change, Joy convinced her husband, Les Milne, an anesthetist, to seek a diagnosis, thinking he had a brain tumor. Les was diagnosed with Parkinson’s disease.
It was 20 years later, when the Milnes attended a Parkinson’s disease support group, that Joy recognized the same distinctive smell she had noticed on Les on the other members of the group. That’s when the Milnes first realized Joy’s heightened sense of smell was something quite unique and possibly unprecedented.
Retired nurse Joy Milne (above) of Perth, Scotland, has an uncanny ability to diagnose Parkinson’s disease based on her highly sensitive sense of smell. Before her husband was diagnosed with the disease, she noticed a change in his smell. When she later recognized the same distinct odor among participants in a Parkinson’s support group, the Milnes asked scientists to investigate. (Photo copyright: NPR.)
Dogs Can Do It, Why Not Humans?
The concept that a disease gives off an aroma that can be detected by humans or animals is not far-fetched. As far back as 2013, Dark Daily was writing about such research. For example, in “C. diff-sniffing Beagle Dog Could Lead to Better Infection Control Outcomes in Hospitals and Nursing Homes,” we wrote about one hospital’s innovative approach to early detection of Clostridium difficile (C. diff) infection using a two-year-old beagle named Cliff that was faster at detecting certain infections than standard clinical laboratory tests used daily in hospitals throughout the world.
Thus, when the Milnes approached Dr. Kunath about Joy’s ability to “smell” Parkinson’s, they were on solid ground. However, he was not convinced.
“It just didn’t seem possible,” Kunath told NPR. “Why should Parkinson’s have an odor? You wouldn’t think neurodegenerative conditions such as Parkinson’s, or Alzheimer’s, would have an odor.”
But Kunath reconsidered after learning of research presented during the Experimental Biology annual meeting in 2019, which showed canines can in fact effectively detect lung cancer biomarkers in blood serum.
He contacted Milne and devised an experiment in which a group of people who had Parkinson’s disease, and another group that did not, would take home t-shirts and wear them overnight. The next day the t-shirts were assigned randomized numbers and put in a box. Milne then smelled each of the 12 t-shirts and assigned each one a score.
Kunath told NPR that Milne was “incredibly accurate.” She had misidentified only one shirt worn by a person in the control group. She incorrectly diagnosed the person with Parkinson’s. However, three months later, that man was in fact diagnosed with Parkinson’s, meaning Joy’s accuracy was 12-for-12.
“She was telling us this individual had Parkinson’s before he knew, before anybody knew,” Kunath told the BBC Scotland.
In an ensuing study, “Discovery of Volatile Biomarkers of Parkinson’s Disease from Sebum,” published in 2019 in ACS Central Science, the researchers describes the “distinct volatiles-associated signature” of Parkinson’s disease, which includes “altered levels of perillic aldehyde and eicosane, the smell of which was then described as being highly similar to the scent of Parkinson’s disease by our ‘Super Smeller.’” Joy Milne co-authored the study.
The concept of the human body producing volatile chemicals that can serve as biomarkers for disease or illness is not new to clinical laboratory professionals. The urea breath test, for example, to detect the presence of active H. pylori bacteria in the stomach is a longstanding example of one such diagnostic test.
Barran led a larger Manchester University study which was published on ChemRxiv, titled, “Sebum: A Window into Dysregulation of Mitochondrial Metabolism in Parkinson’s Disease,” which was funded by a Michael J. Fox research grant (12921). Barran and her research team, which included Milne, “found 10 compounds linked to Parkinson’s by using mass spectrometry and other techniques” on skin sebum samples, reported NPR.
“We really want to know what is behind this and what are the molecules. And then, [determine if] the molecules [can] be used as some sort of diagnostic test,” Kunath told NPR.
A Definitive, Noninvasive Test for Parkinson’s?
The UK researchers discovered in the skin sebum volatile biomarkers of Parkinson’s disease that may lead to development of the first definitive test for the disease.
Katherine Crawford, Scotland Director of Parkinson’s UK, aka the Parkinson’s Disease Society of the United Kingdom, said a noninvasive diagnostic test for Parkinson’s would be game changing.
“We still effectively diagnose it today the way that Dr. James Parkinson diagnosed it in 1817, which is by observing people and their symptoms,” Crawford told BBC Scotland. “A diagnostic test like this could cut through so much of that, enable people to go in and see a consultant, have a simple swab test and come out with a clear diagnosis of Parkinson’s.”
“It wouldn’t have happened without Joy,” Barran told BBC Scotland. “For all the serendipity, it was Joy and Les who were absolutely convinced that what she could smell would be something that could be used in a clinical context, and so now we are beginning to do that.”
A viable, working diagnostic test based on these new biomarkers may be years away. Nevertheless, clinical laboratory leaders will want to follow the ongoing efforts toward development of a noninvasive swab test for Parkinson’s disease. Such a breakthrough would revolutionize Parkinson’s testing and might never have come to light without the persistence of a woman with an extremely sensitive sense of smell.
Doctors may begin ordering FITs in greater numbers, increasing the demand on clinical laboratories to process these home tests
All clinical laboratory managers and pathologists know that timely screening for colon cancer is an effective way to detect cancer early, when it is easiest to treat. But, invasive diagnostic approaches such as colonoscopies are not popular with consumers. Now comes news of a large-scale study that indicates the non-invasive fecal immunochemical test (FIT) can be as effective as a colonoscopy when screening for colon cancer.
FITs performed annually may be as effective as colonoscopies at detecting colorectal cancer (CRC) for those at average risk of developing the disease. That’s the conclusion of a study conducted at the Regenstrief Institute, a private, non-profit research organization affiliated with the Indiana University School of Medicine in Indianapolis, Ind.
The researchers published their findings in the Annals of Internal Medicine (AIM), a journal published by the American College of Physicians (ACP). The team reviewed data from 31 previous studies. They then analyzed the test results from more than 120,000 average-risk patients who took a FIT and then had a colonoscopy. After comparing the results between the two tests, the researchers concluded that the FIT is a sufficient screening tool for colon cancer.
FIT is Easy, Safe, and Inexpensive
As a medical laboratory test, the FIT is low risk, non-invasive,
and inexpensive. In addition, the FIT can detect most cancers in the first
application, according to the Regenstrief Institute researchers. They recommend
that the FIT be performed on an annual basis for people at average risk for
getting colorectal cancers.
“This non-invasive test for colon cancer screening is available for average risk people,” Imperiale told NBC News. “They should discuss with their providers whether it is appropriate for them.”
FIT is performed in the privacy of the patient’s home. To
use the test, an individual collects a bowel specimen in a receptacle provided
in a FIT kit. They then send the specimen to a clinical laboratory for
evaluation. The FIT requires no special preparations and medicines and food do
not interfere with the test results.
Thomas Imperiale, MD (above), is a Lawrence Lumeng Professor of Gastroenterology and Hepatology at Indiana University School of Medicine, and a research scientist at the Regenstrief Institute. He led a study which concluded that FITs are as effective as colonoscopies at detecting cancer in average risk patient populations. Should these conclusions become widely accepted, doctors may begin ordering FITs in greater numbers, increasing the demand on clinical laboratories that process the tests. (Photo copyright: Indiana University School of Medicine.)
‘A Preventative Health Success Story’
The FIT can be calibrated to different sensitivities at the
lab when determining results. Imperiale and his team found that 95% of cancers
were detected when the FIT was set to a higher sensitivity, however, that
setting resulted in 10% false positives. At lower sensitivity the FIT produced
fewer false positives (5%), but also caught fewer cancers (75%). However, when
the FIT was performed every year, the cancer detection rate was similar at both
sensitivities over a two-year period.
“FIT is an excellent option for colon cancer screening only if it is performed consistently on a yearly basis,” Felice Schnoll-Sussman, MD, told NBC News. Sussman is a gastroenterologist and Professor of Clinical Medicine at Weill Cornell Medicine. “Colon cancer screening and its impact on decreasing rates of colon cancer is a preventative health success story, although we have a way to go to increase rates to our previous desired goal of 80% screened in the US by 2018.”
The FIT looks for hidden blood in the stool by detecting protein hemoglobin found in red blood cells. A normal result indicates that FIT did not detect any blood in the stool and the test should be repeated annually. If the FIT comes back positive for blood in the stool, other tests, such as a sigmoidoscopy or colonoscopy should be performed. Cancers in the colon may not always bleed and the FIT only detects blood from the lower intestines.
Patients are Skipping the Colonoscopy
Approximately 35% of individuals who should be receiving colonoscopies do not undergo the test, NBC News noted. The American Cancer Society (ACS) lists the top five reasons people don’t get screened for colorectal cancer are that they:
fear the test will be difficult or painful;
have no family history of the disease and feel
testing is unnecessary;
have no symptoms and think screening is only for
those with symptoms;
are concerned about the costs associated with
screening; and
they are concerned about the complexities of
taking the tests, including taking time off from work, transportation after the
procedure, and high out-of-pocket expenses.
“Colorectal cancer screening is one of the best opportunities to prevent cancer or diagnose it early, when it’s most treatable,” Richard Wender, MD, Chief Cancer Control Officer for the ACS stated in a press release. “Despite this compelling reason to be screened, many people either have never had a colorectal cancer screening test or are not up to date with screening.”
Colorectal cancer is the third most common cancer diagnosed in both men and women in the United States. The ACS estimates there will be 101,420 new cases of colon cancer and 44,180 new cases of rectal cancer diagnosed this year. The disease is expected to be responsible for approximately 51,020 deaths in 2019.
New cases of the disease have been steadily decreasing over
the past few decades in most age populations, primarily due to early screening.
However, the overall death rate among people younger than age 55 has increased
1% per year between 2007 and 2016. The ACS estimates there are now more than
one million colorectal cancer survivors living in the US.
The ACS recommends that average-risk individuals start
regular colorectal cancer screenings at age 45. The five-year survival rate for
colon cancer patients is 90% when there is no sign that the cancer has spread
outside the colon.
Clinical laboratory professionals may find it unpleasant to
test FIT specimens. Opening the specimen containers and extracting the samples
can be messy and malodorous. However, FITs are essential, critical tests that
can save many lives.
Silicon Valley startup is using gene sequencing to identify in the bloodstream free-floating genetic material shed by tumors
There has been plenty of excitement about the new diagnostic technologies designed to identify circulating tumor cells in blood samples. Now, a well-funded Silicon Valley startup has developed a blood test that it says holds promise for detecting early-stage lung and other cancers.
Though experimental, the screening test—which uses gene sequencing to identify in the bloodstream cancer-signaling genetic material shed by tumors—would be a boon for clinical laboratories and health networks. It also could play a role in advancing precision medicine treatments and drug therapies.
GRAIL, a Menlo Park, Calif., life sciences company, presented its initial findings at the 2018 American Society of Clinical Oncology Annual Meeting in Chicago. Its lung cancer data is part of GRAIL’s ongoing Circulating Cell-Free Genome Atlas (CCGA) study, which aims to enroll 15,000 participants and investigate 20 different types of cancers.
“We’re excited that the initial results for the CCGA study show it is possible to detect early-state lung cancer from blood samples using genome sequencing,” said lead study author Geoffrey Oxnard, MD, Dana-Farber Cancer Institute and Associate Professor of Medicine at Harvard Medical School, in a Dana-Farber news release.
“There is an unmet need globally for early-detection tests for lung cancer that can be easily implemented by healthcare systems,” lead study author Geoffrey Oxnard, MD (above), said in the Dana-Farber news release. “These are promising early results and the next steps are to further optimize the assays and validate the results in a larger group of people.” (Photo copyright: Dana-Farber Cancer Institute.)
According to the news release, researchers in this initial analysis explored the ability of three different prototype sequencing assays, each with 98% specificity, to detect lung cancer in blood samples:
Whole-genome bisulfite sequencing (WGBS) detected 41% of early-stage (stage 1-3A) lung cancers and 89% of late-stage (stage 3B-4) lung cancers;
Whole-genome sequencing (WGS) detected 38% of early-stage cancers and 87% of late-stage cancers; and,
Targeted sequencing detected 51% of early-stage cancers and 89% of late-stage cancers.
“The initial results showed that all three assays could detect lung cancer with a low rate of false positives (in which a test indicates a person has cancer when there is no cancer),” the Dana-Farber news release noted.
Identifying Disease Risk Before Symptoms Appear
Screening tests help identify individuals who are not displaying disease symptoms but may be at high risk for developing a disease. GRAIL’s goal is to develop a test with a specificity of 99% or higher. This means no more than one out of 100 people would receive a false-positive.
Otis Brawley, MD, Chief Medical and Scientific Officer at the American Cancer Society, points out that specificity is important when developing a population-based screening test that ultimately would be given to large portions of the general public based on age, medical history, or other factors.
“I am much more concerned about specificity than sensitivity [true positive rate], and [GRAIL] exhibited extremely high specificity,” Brawley told Forbes. “You don’t want a lot of false alarms.”
Some cancer experts have a wait-and-see reaction to GRAIL’s initial results, due in part to the small sample size included in the sub-study. Benjamin Davies, MD, Associate Professor of Urology at the University of Pittsburgh School of Medicine, and an expert on prostate cancer screening, told Forbes the early data was “compelling,” but the number of patients in the study was too small to generate excitement.
Oxnard, however, believes the initial results validate the promise of GRAIL’s blood screening test project.
“I was a skeptic two years ago,” Oxnard, a GRAIL consultant, told Forbes. “I think these data need to put a lot of the skepticism to rest. It can be done. This is proof you can find cancer in the blood, you can find advanced cancer, therefore this has legs. This has a real future. It’s going to be many steps down the line, but this deserves further investigation and should move forward.”
Next Steps
Researchers next plan to verify the initial results in an independent group of 1,000 CCGA participants as part of the same sub-study. They then will attempt to optimize the assays before validating them in a larger data set from CCGA, the Dana-Farber news release explained.
Illumina, a sequencing-technology developer, formed GRAIL in 2016, with participating investments from Bill Gates, Bezos Expeditions and Sutter Hill Ventures. Since then, GRAIL has attracted other high-flying investors, including Amazon, Merck, Johnson and Johnson, and Bristol-Myers Squibb.
Forbes notes that as of 2018 GRAIL has raised $1.6 billion in venture capital and has a $3.2 billion valuation, according to private market data firm Pitchbook. Last year, GRAIL merged with Hong Kong-based Cirina Ltd., a privately held company also focused on the early detection of cancer.
While GRAIL’s projects hold promise, anatomic pathologists and clinical laboratories may be wise to temper their enthusiasm until more research is done.
“We all would like to dream that someday you’d be able to diagnose cancer with a blood test,” Eric Topol, MD, Executive Vice President and Professor of Molecular Medicine at Scripps Research, told Forbes. Topol says he’s “encouraged” by GRAIL’s methodical approach, but warns: “We’re at the earliest stage of that.”
