Study findings could lead to new clinical laboratory screening tests that determine risk for cancer
New disease biomarkers generally lead to new clinical laboratory tests. Such may be the case in an investigational study conducted at the University of Oxford in the United Kingdom (UK). Researchers in the university’s Cancer Epidemiology Unit (CEU) have discovered certain proteins that appear to indicate the presence of cancer years before the disease is diagnosed.
The Oxford scientists “investigated associations between 1,463 plasma proteins and 19 cancers, using observational and genetic approaches in participants of the UK Biobank. They found 618 protein-cancer associations and 317 cancer biomarkers, which included 107 cases detected over seven years before the diagnosis of cancer,” News Medical reported.
To conduct their study, the scientists turned to “new multiplex proteomics techniques” that “allow for simultaneous assessment of proteins at a high-scale, especially those that remain unexplored in the cancer risk context,” News Medical added.
Many of these proteins were in “blood samples of people who developed cancer more than seven years before they received a diagnosis,” an Oxford Population Health news release notes.
“To be able to prevent cancer, we need to understand the factors driving the earliest stages of its development. These studies are important because they provide many new clues about the causes and biology of multiple cancers, including insights into what’s happening years before a cancer is diagnosed,” said Ruth Travis, BA, MSc, DPhil, senior molecular epidemiologist at Oxford Population Health and senior study author, in the news release.
“We now have technology that can look at thousands of proteins across thousands of cancer cases, identifying which proteins have a role in the development of specific cancers and which may have effects that are common to multiple cancer types,” said Ruth Travis, BA, MSc, DPhil (above), senior molecular epidemiologist, Oxford Population Health, in a news release. The study findings could lead to new clinical laboratory screening tests for cancer. (Photo copyright: University of Oxford.)
Proteomics to Address Multiple Cancers Analysis
In their published paper, the Oxford scientists acknowledged other research that identified links between blood proteins and risk for various cancers, including breast, colorectal, and prostate cancers. They saw an opportunity to use multiplex proteomics methods for the simultaneous measurement of proteins “many of which have not previously been assessed for their associations with risk across multiple cancer sites,” the researchers noted.
The researchers described “an integrated multi-omics approach” and the use of the Olink Proximity Extension Assay (PEA) to quantify 1,463 proteins in blood samples from 44,645 participants in the UK Biobank, a large biomedical database and resource to scientists.
Olink, a part of Thermo Fisher Scientific in Waltham, Mass., explains on its website that PEA technology “uniquely combines specificity and scalability to enable high-throughput, multiplex protein biomarker analysis.”
The researchers also compared proteins of people “who did and did not go on to be diagnosed with cancer” to determine differences and identify proteins that suggest cancer risk, News Medical reported.
Proteins Could Assist in Cancer Prevention
“To save more lives from cancer, we need to better understand what happens at the earliest stages of the disease. Data from thousands of people with cancer has revealed really exciting insights into how the proteins in our blood can affect our risk of cancer. Now we need to study these proteins in depth to see which ones could be reliably used for cancer prevention,” Keren Papier, PhD, senior nutritional epidemiologist at Oxford Population Health and joint lead author of the study, told News Medical.
While further studies and regulatory clearance are needed before the Oxford researchers’ approach to identifying cancer in its early stages can be used in patient care, their study highlights scientists’ growing interest in finding biomarker combinations that can predict or diagnose cancer even when it is presymptomatic. By focusing on proteins rather than DNA and RNA, researchers are turning to a source of information other than human genes.
For anatomic pathologists and clinical laboratory leaders, the Oxford study demonstrates how scientific teams are rapidly developing new knowledge about human biology and proteins that are likely to benefit patient care and diagnostics.
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.
Clinical laboratories and anatomic pathology groups should consider these cyberattacks on major healthcare entities as reminders that they should tighten their cybersecurity protections
Hackers continue to gain access to public health records—including clinical laboratory testing data—putting thousands of patients’ protected health information (PHI) at risk of being exposed. The latest important healthcare entity to become the victim of a ransomware attack is American Associated Pharmacies (AAP). According to The Register, AAP announced a ransomware operation called Embargo had stolen over 1.4 terabytes (TB) of data, encrypted those files, and demanded $1.3 million to decrypt the data.
Embargo claims that Scottsboro, Ala.-based AAP paid $1.3 million to have its systems restored. They are now demanding an additional $1.3 million to keep the stolen data private, the HIPAA Journal reported, adding, “The attack follows ransomware attacks on Memorial Hospital and Manor, an 80-bed community hospital and 107 long-term care facility in Georgia, and Weiser Memorial Hospital, a critical access hospital in Idaho.”
AAP has not publicly confirmed the ransomware attack, nor has it made an official statement regarding the breach. But it did post an “Important Notice” on its website reporting, “limited ordering capabilities for API Warehouse have been restored at APIRx.com.”
API Warehouse is a subsidiary of AAP that helps subscribers save on brand name and generic prescriptions via wholesale purchasing plans. It oversees more than 2,000 independent pharmacies across the US and has over 2,500 stock keeping units (SKUs) in its inventory.
The message further states “All user passwords associated with both APIRx.com and RxAAP.com have been reset, so existing credentials will no longer be valid to access the sites. Please click ‘forgot password’ on the log in screen and follow the prompts accordingly to reset your password.”
“Embargo seems to have international and multi-sector victims and is not focusing on a specific victim profile. They seem opportunistic,” Mike Hamilton (above), founder and chief information security officer (CISO) of cybersecurity firm Critical Insight, told HealthcareInfoSecurity. “However, as they do have multiple victims in healthcare, and their tooling to disable detection is sophisticated, they should not be discounted. If indeed they operate through affiliates, we can expect others to use their infrastructure and tools, and Embargo may emerge as a top threat to healthcare.” Since 80% of all medical records are made up of clinical laboratory testing data, laboratory patients are particularly vulnerable. (Photo copyright: Critical Insight.)
Embargo on the Hunt for PHI
Due to the large amount of data Embargo stole from the AAP servers, it’s likely the hackers were able to procure medical records and account details from all customers of the pharmacies involved in the attack.
Researchers at ESET, an internet security company, first noticed the ransomware organization known as Embargo in June of this year. In a news release, ESET stated that Embargo used an endpoint detection and response (EDR) killer toolkit to steal AAP’s data.
“Based on its modus operandi, Embargo seems to be a well-resourced group. It sets up its own infrastructure to communicate with victims. Moreover, the group pressures victims into paying by using double extortion: the operators exfiltrate victims’ sensitive data and threaten to publish it on a leak site, in addition to encrypting it,” ESET wrote in a news release.
Embargo recently attacked other organizations within the healthcare industry as well. In November, it claimed responsibility for breaching the security of Memorial Hospital and Manor in Bainbridge, Ga. The cyberattack affected Memorial’s email and electronic medical record (EHR) systems, which caused the facility to pivot to a paper-based system, The Cyber Express reported.
Embargo’s attack on Weiser Memorial Hospital in Weiser, Idaho, involved the theft of approximately 200 gigabytes (GB) of sensitive data and caused a four-week-long outage of its computer systems.
Other Cyberattacks on Healthcare Organizations
Dark Daily has covered many cyberattacks on hospital health systems in multiple ebriefs over the past few years.
Safeguarding patient data is critical, and more healthcare organizations are discovering the hard way that they are vulnerable to hackers. This situation serves as another reminder to clinical laboratory and pathology group managers that they need to be proactive and serious about protecting their information systems, and in upgrading their digital security at regular intervals.
Hackers are working hard to obtain access to protected health information, which puts patients at continuous risk of having their private records stolen.
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.
Half of the people tested were unaware of their genetic risk for contracting the disease
Existing clinical laboratory genetic screening guidelines may be inadequate when it comes to finding people at risk of hereditary breast-ovarian cancer syndromes and Lynch syndrome (aka, hereditary nonpolyposis colorectal cancer). That’s according to a study conducted at the Mayo Clinic in Rochester, Minn., which found that about half of the study participants were unaware of their genetic predisposition to the diseases.
Mayo found that 550 people who participated in the study (1.24%) were “carriers of the hereditary mutations.” The researchers also determined that half of those people were unaware they had a genetic risk of cancer, and 40% did not meet genetic testing guidelines, according to a Mayo Clinic news story.
The discoveries were made following exome sequencing, which the Mayo Clinic news story described as the “protein-coding regions of genes” and the sites for most disease-causing mutations.
“Early detection of genetic markers for these conditions can lead to proactive screenings and targeted therapies, potentially saving lives of people and their family members,” said lead author Niloy Jewel Samadder, MD, gastroenterologist and cancer geneticist at Mayo Clinic’s Center for Individualized Medicine and Comprehensive Cancer Center.
“This study is a wake-up call, showing us that current national guidelines for genetic screenings are missing too many people at high risk of cancer,” said lead author Niloy Jewel Samadder, MD (above), gastroenterologist and cancer geneticist at Mayo Clinic’s Center for Individualized Medicine and Comprehensive Cancer Center. New screening guidelines may increase the role of clinical laboratories in helping physicians identify patients at risk of certain hereditary cancers. (Photo copyright: Mayo Clinic.)
Advancing Personalized Medicine
“The goals of this study were to determine whether germline genetic screening using exome sequencing could be used to efficiently identify carriers of HBOC (hereditary breast and ovarian cancer) and LS (Lynch syndrome),” the authors wrote in JCO Precision Oncology.
For the current study, Helix, a San Mateo, Calif. population genomics company, collaborated with Mayo Clinic to perform exome sequencing on the following genes:
BRCA1 and BRCA2 genes (hereditary breast and ovarian cancer).
Mayo/Helix researchers performed genetic screenings on more than 44,000 study participants. According to their published study, of the 550 people who were found to have hereditary breast cancer or Lynch syndrome:
387 had hereditary breast and ovarian cancer (27.2% BRCA1, 42.8% BRCA2).
163 had lynch syndrome (12.3% MSH6, 8.8% PMS2, 4.5% MLH1, 3.8% MSH2, and 0.2% EPCAM).
Participants recruited by researchers hailed from Rochester, Minn.; Phoenix, Ariz.; and Jacksonville, Fla.
Minorities were less likely to meet the NCCN criteria than those who reported as White (51.5% as compared to 37.5%).
“Our results emphasize the importance of expanding genetic screening to identify people at risk for these cancer predisposition syndromes,” Samadder said.
Exome Data in EHRs
Exomes of more than 100,000 Mayo Clinic patients have been sequenced and the results are being included in the patients’ electronic health records (EHR) as part of the Tapestry project. This gives clinicians access to patient information in the EHRs so that the right tests can be ordered at the right time, Mayo Clinic noted in its article.
“Embedding genomic data into the patient’s chart in a way that is easy to locate and access will assist doctors in making important decisions and advance the future of genomically informed medicine.” said Cherisse Marcou, PhD, co-director and vice chair of information technology and bioinformatics in Mayo’s Clinical Genomics laboratory.
While more research is needed, Mayo Clinic’s accomplishments suggest advancements in gene sequencing and technologies are making way for data-driven tools to aid physicians.
As the cost of gene sequencing continue to fall due to improvement in the technologies, more screenings for health risk factors in individuals will likely become economically feasible. This may increase the role medical laboratories play in helping doctors use exomes and whole genome sequencing to screen patients for risk of specific cancers and health conditions.
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.
