Bacteria could become new biomarker for testing patients’ reaction to cancer treatments which would give microbiologists and clinical laboratories a new tool for aiding diagnosis and in the selection of appropriate therapies
In a surprising study conducted at King’s College London and Guy’s and St Thomas’ NHS Foundation Trust, British scientists have discovered that a common bacteria found in the mouth may be able to “melt” certain cancers. The bacteria could also be used as a clinical laboratory biomarker to determine how patients may react to specific cancer treatments.
The researchers found that the presence of Fusobacterium can help neutralize head and neck cancers and provide better outcomes in patients with those diseases, according to a Kings College London news release.
“In essence, we found that when you find these bacteria within head and neck cancers, [patients] have much better outcomes,” said Miguel Reis Ferreira, MD, PhD, clinical oncologist at Guy’s and St Thomas’, adjunct senior clinical lecturer at King’s College London and senior author of the study, in the news release. “The other thing that we found is that in cell cultures this bacterium is capable of killing cancer.”
“This research reveals that these bacteria play a more complex role than previously known in their relationship with cancer—that they essentially melt head and neck cancer cells,” said Miguel Reis Ferreira, MD, PhD (above), clinical oncologist at Guy’s and St Thomas’, adjunct senior clinical lecturer at King’s College London and senior author of the study, in a news release. “However, this finding should be balanced by their known role in making cancers such as those in the bowel get worse.” Should these findings prove sound, clinical laboratories may soon have a new biomarker for testing patients’ reaction to cancer treatments. (Photo copyright: King’s College London.)
Researchers Surprised by Their Findings
The researchers began their research by using computer modeling to identify the types of bacteria to further scrutinize. They then studied the effect of those bacteria on cancer cells by analyzing data on 155 head and neck cancer patients whose tumor information had been submitted to the Cancer Genome Atlas. Head and neck cancers include cancers of the mouth, throat, voice box, nose, and sinuses.
The scientists placed Fusobacterium in petri dishes and kept the bacteria there for a few days. They observed the effect of that bacteria on head and neck cancers and discovered there was a 70% to 90% reduction in the number of viable cancer cells after being infused with the Fusobacterium.
Due to the known correlation between Fusobacterium and colorectal cancer, the team was astonished to find the cancer cells present in head and neck cancers had almost been eradicated.
In the news release, Ferreira said the researchers initially expected the Fusobacterium to boost the growth of the cancers and render those cancers more resistant to treatments like radiotherapy. However, they found the opposite to be true.
“The research in colorectal cancer indicates that these bacteria are bad, and that was kind of ingrained into our minds, and we were expecting to find the same thing,” said Ferreira in a Press Association (PA) interview, The Independent reported. “When we started finding things the other way around, we were brutally surprised.”
Predicting Better Outcomes, Lower Risk of Death
“You put it in the cancer at very low quantities and it just starts killing it very quickly,” Ferreira said in the King’s College London news release. “What we’re finding is that this little bug is causing a better outcome based on something that it’s doing inside the cancer. So we are looking for that mechanism at present, and it should be the theme for a new paper in the very short-term future.”
In addition, the scientists discovered that patients with Fusobacterium within their cancer showed improved survival rates when compared to those without the bacteria. The presence of the bacteria correlated with a 65% reduction in death risk.
“What it could mean is that we can use these bacteria to better predict which patients are more likely to have good or worse outcomes, and based on that, we could change their treatment to make it kinder in the patients that have better outcomes or make it more intense in patients that are more likely to have their cancers come back,” said Ferreira in the PA interview.
“Our findings are remarkable and very surprising. We had a eureka moment when we found that our international colleagues also found data that validated the discovery,” said Anjali Chander, PhD student, senior clinical research fellow, Comprehensive Cancer Center, King’s College London, and lead author of the study in the news release.
More to Learn about Bacteria as Biomarkers
According to the National Cancer Institute (NCI), more than 71,000 people will be diagnosed with one of the major types of head and neck cancer this year in the US and more than 16,000 patients will die from these diseases.
The Global Cancer Observatory (GLOBOCAN) estimates there are about 900,000 new cases of head and neck cancers diagnosed annually worldwide with approximately 450,000 deaths attributed to those cancers every year. GLOBOCAN also claims head and neck cancers are the seventh most common cancer globally.
More research and studies are needed to confirm the virtue of this latest venture into the human microbiome. However, the preliminary results of this study appear promising.
The study of human microbiota continues to bring unexpected surprises, as scientists gain more insights and identify specific strains of bacteria that may have a positive or negative influence on an individual’s health. These discoveries may give microbiologists and clinical laboratories intriguing new biomarkers that could be incorporated into medical tests that aid diagnosis and the selection of appropriate therapies.
Clinical laboratories will need new methods for accommodating the increase in senior patients seeking rapid access to medical laboratory testing and pathology services
Experts within the healthcare industry are predicting existing care delivery models will need to be revised within the next few years to accommodate a rapidly aging population dubbed a “silver tsunami.” Many hospital systems are actively taking steps to prepare for this coming sharp increase in the number of senior citizens needing healthcare services, including clinical laboratory testing.
Multi-hospital health systems will have to accommodate demand for healthcare delivered in ways that meet the changing expectations of seniors. These include rapid access to clinical laboratory testing and anatomic pathology services, electronic health records, and telehealth visits with their doctors.
These trends will also require clinical laboratories to evolve in ways consistent with meeting both the volume of services/testing and improved levels of personal, speedy access to test results that seniors expect.
All of this is problematic given the current state of hospital staff shortages across the nation.
Investopedia defines the term “silver tsunami” as “the demographic shift caused by the increasing number of older adults in society, led by the baby boom generation.”
Baby boomers are individuals who were born between 1946 and 1964. The US Census Bureau estimates there are 76.4 million baby boomers living in the country today, and that by 2030 all boomers will be 65 years of age or older.
“In the next five years, the most significant disruptor to healthcare will be the capacity challenges associated with the ‘silver tsunami’ of baby boomers hitting the age of healthcare consumption,” said Jonathan Washko, MBA, FACPE, NRP, AEMD (above), director at large, National Association of Emergency Medical Technicians (NAEMT) and assistant vice president, CEMS Operations, in an interview with Becker’s Hospital Review. Clinical laboratories will have to engage with these senior patients in new ways that fit their lifestyles. (Photo copyright: EMS1.)
Silver Tsunami Could Transform Healthcare
Approximately 10,000 people turn 65 in the US every day, making them eligible for Medicare. This increase in recipients is likely to strain the government system. Healthcare organizations are seeking new ways to prepare for the anticipated boost in seniors requiring health services.
Washko believes the population shift will cause healthcare leaders to develop novel care models based on “intelligent and intentional design for better outcomes, lower costs, and faster results,” Becker’s Hospital Review reported.
“Solutions will require shifts to care in the home, new operational care models, and technology integration,” Washko noted. “These will allow the medicine being delivered to be effectively and efficiently optimized, vastly improving the productivity of existing and net new capacity.”
A recent HealthStream blog post outlined some of the methods hospitals can use to adapt to an aging population. They include:
Facility Design: Modifying lighting, using large-print signage, providing reading glasses and hearing amplifiers, purchasing taller chairs with arms and lower examination tables.
Technology: Offering assistive devices, creating more telehealth options, developing more user-friendly websites and electronic medical records.
Healthcare Delivery: Training staff on geriatric care, offering services intended for an older population, such as geriatric psychology, fall prevention programs, and establishing a more patient-centered environment.
“Anticipated regulatory challenges post-election will influence healthcare operations. The looming recession may alter how individuals access healthcare and treatment based on affordability,” Shelly Schorer, CFO CommonSpirit Health, told Becker’s Hospital Review. “Despite these headwinds and challenges, at CommonSpirit we are prepared to pivot and meet the changing needs of our communities by accurately predicting and addressing their healthcare needs efficiently.”
“This represents the greatest market disruption on the near-horizon,” said Ryan Nicholas, MD, Chief Quality Officer at Mercy Medical Group. “This has prompted Mercy Medical Group to move rapidly into value-based care with focus on total cost of care and network integrity.”
Nichols told Becker’s Hospital Review that Mercy’s Medicare population has increased by 24% over the last year, and that Mercy is anticipating a growth of 28% over the next year. These increases have convinced the organization to shift its view of service functions and to invest in additional resources that meet the growing demands for senior healthcare.
“Expanding ambulatory services and improving access for primary care services to reduce unnecessary [emergency department] utilization and shorten length of stay is our top priority,” Nichols said.
Shifting Demand for Clinical Laboratory Testing
This is not the first time Dark Daily has covered how shifting demographics are changing the landscape of healthcare services in nations where populations are aging faster than babies are being born.
Thus, many healthcare organizations are taking a proactive approach to the expected increase in seniors needing care for age-related and chronic illnesses.
“This along with other risk and value-based models will continue to drive integration of healthcare services and the value proposition through improving quality while reducing costs,” Alon Weizer, MD, chief medical officer and senior vice president, Mount Sinai Medical Center, Miami Beach, Fla., told Becker’s Hospital Review. “While we are investing heavily to be successful in these models through primary care expansion and technology that will help reduce the need for acute care services, we continue to focus our culture on providing safe and high quality care to our patients.”
Clinical laboratories will need to adapt to the changing needs of older patients to ensure all people receive high quality care. The coming “silver tsunami” will require labs to evolve in ways consistent with meeting the growing needs of seniors and providing better levels of personal services and access to cost-effective, fast, and accurate lab testing.
Anatomic pathologists understand that, along with breast cancer, diagnostic testing for prostate cancer accounts for a high volume of clinical laboratory tests. Thus, a recent study indicating that a new artificial intelligence (AI)-based software tool can dramatically improve physicians’ ability to identify the extent of these cancers will be of interest.
“The study found that Unfold AI’s patient-specific encapsulation confidence score (ECS), which is generated based on multiple patient data points, including MRI scans, biopsy results, PSA [prostate-specific antigen] data, and Gleason scores, is critical for predicting treatment success,” an Avenda press release states. “These findings emphasize the importance of Unfold AI’s assessment of tumor margins in predicting treatment outcomes, surpassing the predictive capability of conventional parameters.”
“Unfold AI’s ability to identify tumor margins and provide the ECS will improve treatment recommendations and allow for less-invasive interventions,” said study co-author Wayne Brisbane, MD, a urologic oncologist and UCLA medical professor, in another press release. “This more comprehensive approach enhances our ability to predict treatment outcomes and tailor interventions effectively to individual patient needs.”
“This study is important because it shows the ability of AI to not only replicate expert physicians, but to go beyond human ability,” said study co-author Wayne Brisbane, MD (above), a urologic oncologist and UCLA medical professor, in a press release. “By increasing the accuracy of cancer identification in the prostate, more precise and effective treatment methods can be prescribed for patients.” Clinical laboratories that work with anatomic pathologists to diagnose prostate and other cancers may soon have a new AI testing tool. (Photo copyright: UCLA.)
How Unfold AI Works
To gauge the extent of prostate tumors, surgeons typically evaluate results from multiple diagnostic methods such as PSA tests and imaging scans such as MRIs, according to a UCLA press release. However some portions of a tumor may be invisible to an MRI, causing doctors to underestimate the size.
Unfold AI, originally known as iQuest, was designed to analyze data from PSA, MRI, fusion biopsy, and pathology testing, according to a company brochure. From there, it generates a 3D map of the cancer. Avenda’s website says the technology provides a more accurate representation of the tumor’s extent than conventional methods.
“Accurately determining the extent of prostate cancer is crucial for treatment planning, as different stages may require different approaches such as active surveillance, surgery, focal therapy, radiation therapy, hormone therapy, chemotherapy, or a combination of these treatments,” Brisbane said in the UCLA press release.
Putting AI to the Test
In the new study, the UCLA researchers enlisted seven urologists and three radiologists to review 50 prostate cancer cases. Each patient had undergone prostatectomy—surgical removal of all or part of the prostate—but might have been eligible for focal therapy, a less-aggressive approach that uses heat, cryotherapy, or electric shocks to attack cancer cells more selectively.
The physicians came from five hospitals and had a wide range of clinical experience from two to 23 years, the researchers noted in The Journal of Urology.
They reviewed clinical data and examined MRI scans of each patient, then “manually drew outlines around the suspected cancerous areas, aiming to encapsulate all significant disease,” the press release states. “Then, after waiting for at least four weeks, they reexamined the same cases, this time using AI software to assist them in identifying the cancerous areas.”
The researchers analyzed the physicians’ work, evaluating the accuracy of the cancer margins and the “negative margin rate,” indicating whether the clinicians had identified all of the cancerous tissue. Using conventional approaches, “doctors only achieved a negative margin 1.6% of the time,” the press release states. “When assisted by AI the number increased to 72.8%.”
The clinicians’ accuracy was 84.7% when assisted by AI versus 67.2% to 75.9% for conventional techniques.
They also found that clinicians who used the AI software were more likely to recommend focal therapy over more aggressive forms of treatment.
“We saw the use of AI assistance made doctors both more accurate and more consistent, meaning doctors tended to agree more when using AI assistance,” said Avenda Health co-founder and CEO Shyam Natarajan, PhD, who was senior author of the study.
“These results demonstrate a marked change in how physicians will be able to diagnose and recommend treatment for prostate cancer patients,” said Natarajan in a company press release. “By increasing the confidence in which we can predict a tumor’s margins, patients and their doctors will have increased certainty that their entire tumor is treated and with the appropriate intervention in correlation to the severity of their case.”
UCLA’s study found that AI can outperform doctors both in sensitivity (a higher detection rate of positive cancers) and specificity (correctly detecting the sample as negative). That’s relevant and worth watching for further developments.
Pathologists and clinical laboratory managers should consider this use of AI as one more example of how artificial intelligence can be incorporated into diagnostic tests in ways that allow medical laboratory professionals to diagnose disease earlier and more accurately. This will improve patient care because early intervention for most diseases leads to better outcomes.
Diagnostic test incorporates artificial intelligence and could shorten the time clinical laboratories need to determine patients’ risk for antimicrobial resistance
Sepsis continues to be a major killer in hospitals worldwide. Defeating it requires early diagnosis, including antimicrobial susceptibility testing (AST), and timely administration of antibiotics. Now, in a pilot study, scientists at Seoul National University in South Korea have developed a new clinical laboratory test that uses artificial intelligence (AI) to pinpoint the condition sooner, enabling faster treatment of the deadly bacterial infection.
Sepsis, also known as septicemia or blood poisoning, is a serious medical condition that occurs when the body overreacts to an infection or injury. This often takes place in hospitals through blood-line infections and exposure to deadly bacteria. The dangerous reaction causes extensive inflammation throughout the body. If not treated early, sepsis can lead to organ failure, tissue damage, and even death.
Research teams around the world are creating new technologies and approaches to slash time to answer from when blood specimen is collected to a report of whether the patient is or is not positive for sepsis. The Seoul National University scientists’ new approach is yet another sign for microbiologists and clinical laboratory managers of the priority test developers are giving to solving the problem of diagnosing sepsis faster than using blood culture methodology, which requires several days of incubation.
“Sepsis strikes over 40 million people worldwide each year, with a mortality rate ranging from 20% to 50%,” said Sunghoon Kwon, PhD (above), professor of electrical and computer engineering at Seoul National University and senior author of the study, in an interview with The Times in the UK. “This high mortality rate leads to over 10 million deaths annually. Thus, accurate and prompt antibiotic prescription is essential for treatment,” he added. Clinical laboratories play a critical role in the testing and diagnosis of sepsis. (Photo copyright: Seoul National University.)
Reducing Time to Diagnosis
Seoul National University’s approach begins with drawing a sample of the patient’s blood. The researchers then attach special peptide molecules to magnetic nanoparticles and add those nanoparticles to the blood sample. The particles bind to the harmful pathogens in the blood.
The harmful bacteria are then collected using magnets. Their DNA is extracted, amplified, and analyzed to establish the type of microbes that are present in the sample.
The pathogens are exposed to antibiotics and an AI algorithm evaluates their growth patterns to forecast what treatments would be most beneficial to the patient. This last step is known as antimicrobial susceptibility testing or AST.
“The principle is simple,” said Sunghoon Kwon, PhD, professor of electrical and computer engineering at Seoul National University and senior author of the study, in a Nature podcast. “We have a magnetic nanoparticle. The surface of the magnetic nanoparticle we coat in a peptide that can capture the bacteria.”
Kwon is the CEO of Quantamatrix, the developer of the test.
The complete process can be performed on one machine and results are available in about 12 hours, which reduces typical AST time by 30 to 40 hours when compared to traditional processes.
“Sepsis progresses very quickly, with the survival rate dropping with each passing hour,” Kwon told The Times UK. “Every minute is crucial.”
Preventing Antimicrobial Resistance
The team assessed the performance of their test on 190 hospital patients who had a suspected sepsis infection. The test achieved a 100% match in the identification of a bacterial species. The test also achieved an efficiency of 96.2% for capturing Escherichia coli (E. coli) and 91.5% for capturing Staphylococcus aureus.
“Treatment assessment and patient outcome for sepsis depend predominantly on the timely administration of appropriate antibiotics,” the authors wrote in Nature.
“However,” they added, “the clinical protocols used to stratify and select patient-specific optimal therapy are extremely slow,” due to existing blood culture procedures that may take two or three days to complete.
“The microbial load in patient blood is extremely low, ranging between 1 and 100 colony-forming units (CFU) ml−1 and is vastly outnumbered by blood cells,” the study authors explained. “Due to this disparity, prior steps—including blood culture (BC) to amplify the number of pathogens followed by pure culture to subculture purified colonies of isolates—have been essential for subsequent pathogen species identification (ID) and AST.”
Further research, studies and regulatory approval are needed before this technique becomes available, but the South Korean scientists believe it could be ready for use within two to three years. They also state their test can help prevent antimicrobial resistance (AMR) and bolster the strength of existing antibiotics.
Previous Studies
The Seoul National University study is just the latest effort by scientists to develop faster methods for clinical laboratory testing and diagnosing of sepsis.
In September, Dark Daily reported on a similar test that uses digital imaging and AI to determine sepsis risk for emergency room patients.
According to the Centers for Disease Control and Prevention (CDC), at least 1.7 million adults develop sepsis annually in the US, and that at least 350,000 die as a result of the condition. CDC also lists sepsis as one of the main reasons people are readmitted to hospitals.
Microbiologists and clinical laboratory managers should be aware that scientists are prioritizing the creation of new testing methods for faster detection of sepsis. Various research teams around the world are devising technologies and approaches to reduce the time needed to diagnose sepsis to improve patient outcomes and save lives.
These advances in the battle against cancer could lead to new clinical laboratory screening tests and other diagnostics for early detection of the disease
As Dark Daily reported in part one of this story, the World Economic Forum (WEF) has identified 12 new breakthroughs in the fight against cancer that will be of interest to pathologists and clinical laboratory managers.
As we noted in part one, the WEF originally announced these breakthroughs in an article first published in May 2022 and then updated in October 2024. According to the WEF, the World Health Organization (WHO) identified cancer as a “leading cause of death globally” that “kills around 10 million people a year.”
The WEF is a non-profit organization base in Switzerland that, according to its website, “engages political, business, academic, civil society and other leaders of society to shape global, regional and industry agendas.”
Monday’s ebrief focused on four advances identified by WEF that should be of particular interest to clinical laboratory leaders. Here are the others.
Personalized Cancer Vaccines in England
The National Health Service (NHS) in England, in collaboration with the German pharmaceutical company BioNTech, has launched a program to facilitate development of personalized cancer vaccines. The NHS Cancer Vaccine Launch Pad will seek to match cancer patients with clinical trials for the vaccines. The Launch Pad will be based on messenger ribonucleic acid (mRNA) technology, which is the same technology used in many COVID-19 vaccines.
The BBC reported that these cancer vaccines are treatments, not a form of prevention. BioNTech receives a sample of a patient’s tumor and then formulates a vaccine that exposes the cancer cells to the patient’s immune system. Each vaccine is tailored for the specific mutations in the patient’s tumor.
“I think this is a new era. The science behind this makes sense,” medical oncologist Victoria Kunene, MBChB, MRCP, MSc (above), trial principal investigator from Queen Elizabeth Hospital Birmingham (QEHB) involved in an NHS program to develop personalized cancer vaccines, told the BBC. “My hope is this will become the standard of care. It makes sense that we can have something that can help patients reduce their risk of cancer recurrence.” These clinical trials could lead to new clinical laboratory screening tests for cancer vaccines. (Photo copyright: Queen Elizabeth Hospital Birmingham.)
Seven-Minute Cancer Treatment Injection
NHS England has also begun treating eligible cancer patients with under-the-skin injections of atezolizumab, an immunotherapy marketed under the brand name Tecentriq, Reuters reported. The drug is usually delivered intravenously, a procedure that can take 30 to 60 minutes. Injecting the drug takes just seven minutes, Reuters noted, saving time for patients and cancer teams.
The drug is designed to stimulate the patient’s immune system to attack cancer cells, including breast, lung, liver, and bladder cancers.
AI Advances in India
One WEF component—the Center for the Fourth Industrial Revolution (C4IR)—aims to harness emerging technologies such as artificial intelligence (AI) and virtual reality. In India, the organization says the Center is seeking to accelerate use of AI-based risk profiling to “help screen for common cancers like breast cancer, leading to early diagnosis.”
Researchers are also exploring the use of AI to “analyze X-rays to identify cancers in places where imaging experts might not be available.”
Using AI to Assess Lung Cancer Risk
Early-stage lung cancer is “notoriously hard to detect,” WEF observed. To help meet this challenge, researchers at Massachusetts Institute of Technology (MIT) developed an AI model known as Sybil that analyzes low-dose computed tomography scans to predict a patient’s risk of getting the disease within the next six years. It does so without a radiologist’s intervention, according to a press release.
Using Genomics to Identify Cancer-Causing Mutations
In what has been described as the “largest study of whole genome sequencing data,” researchers at the University of Cambridge in the UK announced they have discovered a “treasure trove” of information about possible causes of cancer.
Using data from England’s 100,000 Genomes Project, the researchers analyzed the whole genome sequences of 12,000 NHS cancer patients.
This allowed them “to detect patterns in the DNA of cancer, known as ‘mutational signatures,’ that provide clues about whether a patient has had a past exposure to environmental causes of cancer such as smoking or UV light, or has internal, cellular malfunctions,” according to a press release.
The researchers also identified 58 new mutational signatures, “suggesting that there are additional causes of cancer that we don’t yet fully understand,” the press release states.
The study appeared in April 2022 in the journal Science.
Validation of CAR-T-Cell Therapy
CAR-T-cell therapy “involves removing and genetically altering immune cells, called T cells, from cancer patients,” WEF explained. “The altered cells then produce proteins called chimeric antigen receptors (CARs), which can recognize and destroy cancer cells.”
The therapy appeared to receive validation in 2022 when researchers at the University of Pennsylvania published an article in the journal Nature noting that two early recipients of the treatment were still in remission after 12 years.
However, the US Food and Drug Administration (FDA) announced in 2023 that it was investigating reports of T-cell malignancies, including lymphoma, in patients who had received the treatment.
WEF observed that “the jury is still out as to whether the therapy is to blame but, as a precaution, the drug packaging now carries a warning.”
Breast Cancer Drug Repurposed for Prevention
England’s NHS announced in 2023 that anastrozole, a breast cancer drug, will be available to post-menopausal women to help reduce their risk of developing the disease.
“Around 289,000 women at moderate or high risk of breast cancer could be eligible for the drug, and while not all will choose to take it, it is estimated that if 25% do, around 2,000 cases of breast cancer could potentially be prevented in England, while saving the NHS around £15 million in treatment costs,” the NHS stated.
The tablet, which is off patent, has been used for many years to treat breast cancer, the NHS added. Anastrozole blocks the body’s production of the enzyme aromatase, reducing levels of the hormone estrogen.
Big Advance in Treating Cervical Cancer
In October 2024, researchers announced results from a large clinical trial demonstrating that a new approach to treating cervical cancer—one that uses currently available therapies—can reduce the risk of death by 40% and the risk of relapsing by 36%.
“This is the biggest improvement in outcome in this disease in over 20 years,” said Mary McCormack, PhD, clinical oncologist at the University College London and lead investigator in the trial.
The scientists published their findings in The Lancet.
Pathologists and clinical lab managers will want to keep track of these 12 breakthrough advancements in the diagnosis and treatment of cancer highlighted by the WEF. They will likely lead to new screening tests for the disease and could save many lives.
List also includes precision oncology, liquid biopsies, and early diagnosis of pancreatic cancer
Pathologists and clinical laboratory managers will be interested to learn that in a recently updated article the World Economic Forum (WEF) identified a dozen important recent breakthroughs in the ongoing fight to defeat cancer, including some related to pathology and clinical laboratory diagnostics.
The article noted that approximately 10 million people die each year from cancer. “Death rates from cancer were falling before the pandemic,” the authors wrote. “But COVID-19 caused a big backlog in diagnosis and treatment.”
The Swiss-based non-profit is best known for its annual meeting of corporate and government leaders in Davos, Switzerland. Healthcare is one of 10 WEF “centers” focusing on specific global issues.
Here are four advances identified by WEF that should be of particular interest to clinical laboratory leaders. The remaining advances will be covered in part two of this ebrief on Wednesday.
“Our study represents a major leap in cancer screening, combining the precision of protein-based biomarkers with the efficiency of sex-specific analysis,” said Novelna founder and CEO Ashkan Afshin, MD, ScD (above), in a company press release. “We’re not only looking at a more effective way of detecting cancer early but also at a cost-effective solution that can be implemented on a large scale.” The 12 breakthroughs listed in the World Economic Forum’s updated article will likely lead to new clinical laboratory screening tests for multiple types of cancer. (Photo copyright: Novelna.)
Novelna’s Early-Stage Cancer Test
Novelna, a biotech startup in Palo Alto, Calif., says it has developed a clinical laboratory blood test that can detect 18 early-stage cancers, including brain, breast, cervical, colorectal, lung, pancreatic, and uterine cancers, according to a press release.
In a small “proof of concept” study, scientists at the company reported that the test identified 93% of stage 1 cancers among men with 99% specificity and 90% sensitivity. Among women, the test identified 84% of stage 1 cancers with 85% sensitivity and 99% specificity.
The researchers collected plasma samples from 440 individuals diagnosed with cancers and measured more than 3,000 proteins. They identified 10 proteins in men and 10 in women that correlated highly with early-stage cancers.
“By themselves, each individual protein was only moderately accurate at picking up early stage disease, but when combined with the other proteins in a panel they were highly accurate,” states a BMJ Oncology press release.
The company says the test can be manufactured for less than $100.
“While further validation in larger population cohorts is necessary, we anticipate that our test will pave the way for more efficient, accurate, and accessible cancer screening,” said Novelna founder and CEO Ashkan Afshin, MD, ScD, in the company press release.
Precision Oncology
According to the National Institutes of Health’s “Promise of Precision Medicine” web page, “Researchers are now identifying the molecular fingerprints of various cancers and using them to divide cancer’s once-broad categories into far more precise types and subtypes. They are also discovering that cancers that develop in totally different parts of the body can sometimes, on a molecular level, have a lot in common. From this new perspective emerges an exciting era in cancer research called precision oncology, in which doctors are choosing treatments based on the DNA signature of an individual patient’s tumor.”
“These advanced sequencing technologies not only extend lifespans and improve cure rates for cancer patients through application to early screening; in the field of cancer diagnosis and monitoring they can also assist in the formulation of personalized clinical diagnostics and treatment plans, as well as allow doctors to accurately relocate the follow-up development of cancer patients after the primary treatment,” Wang wrote.
Based in China, Genetron Health describes itself as a “leading precision oncology platform company” with products and services related to cancer screening, diagnosis, and monitoring.
Liquid and Synthetic Biopsies
Liquid biopsies, in which blood or urine samples are analyzed for presence of biomarkers, provide an “easier and less invasive” alternative to conventional surgical biopsies for cancer diagnosis, the WEF article notes.
These tests allow clinicians to “pin down the disease subtype, identify the appropriate treatment and closely track patient response, adjusting course, if necessary, as each case requires—precision medicine in action,” wrote Merck Group CEO Belén Garijo, MD, in an earlier WEF commentary.
The WEF article also highlighted “synthetic biopsy” technology developed by Earli, Inc., a company based in Redwood City, Calif.
As explained in a Wired story, “Earli’s approach essentially forces the cancer to reveal itself. Bioengineered DNA is injected into the body. When it enters cancer cells, it forces them to produce a synthetic biomarker not normally found in humans.”
The biomarker can be detected in blood or breath tests, Wired noted. A radioactive tracer is used to determine the cancer’s location in the body.
“Pancreatic cancer is one of the deadliest cancers,” the WEF article notes. “It is rarely diagnosed before it starts to spread and has a survival rate of less than 5% over five years.”
The test is based on a technology known as high-conductance dielectrophoresis (DEP), according to a UC San Diego press release. “It detects extracellular vesicles (EVs), which contain tumor proteins that are released into circulation by cancer cells as part of a poorly understood intercellular communication network,” the press release states. “Artificial intelligence-enabled protein marker analysis is then used to predict the likelihood of malignancy.”
The test detected 95.5% of stage 1 pancreatic cancers, 74.4% of stage 1 ovarian cancers, and 73.1% of pathologic stage 1A lethally aggressive serous ovarian adenocarcinomas, they wrote.
“These results are five times more accurate in detecting early-stage cancer than current liquid biopsy multi-cancer detection tests,” said co-senior author Scott M. Lippman, MD.
Look to Dark Daily’s ebrief on Wednesday for the remainder of breakthroughs the World Economic Forum identifies as top advancements in the fight to defeat cancer.
