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Enlarged Breasts Linked to Migraine, Neck Pain and Sleep Apnea

25 September 2026 at 01:01

Women with unusually enlarged breast tissue may face a higher likelihood of several health problems, including chronic migraine, neck pain and sleep apnea, according to new research. The condition, medically known as macromastia, is often discussed in terms of discomfort or appearance. However, researchers from Wake Forest University School of Medicine say it may be […]

The post Enlarged Breasts Linked to Migraine, Neck Pain and Sleep Apnea appeared first on Knowridge Science Report.

25 ans, une bascule : l'ARN Messager, de la Covid-19 aux vaccins personnalisés contre le cancer

23 September 2026 at 20:03
En quelques années, l’ARN messager est passé du statut de technologie expérimentale à celui d’outil capable de répondre à une pandémie. Rapide à adapter et presque « programmable », il pourrait désormais ouvrir la voie à des vaccins conçus sur mesure contre certains cancers.

3M and DuPont must face Connecticut firefighters' lawsuit over 'forever chemicals'

16 September 2026 at 12:50


A federal judge on Tuesday said more than 20 defendants including 3M, DuPont, and Honeywell must face claims by Connecticut firefighters who said their protective gear was contaminated by toxic "forever chemicals" that increased their risk of cancer.

Kenya: A small village takes on an oil giant

15 September 2026 at 18:48


More than 50 years after oil drilling was carried out, Kenya's Kargi community is suing BP, alleging contaminated water contributed to cancers and livestock deaths.

Judge weighs "fairness" of $7.25B Roundup settlement for cancer victims

15 September 2026 at 12:35


Opposing teams of attorneys spent hours on Monday battling over a proposed $7.25 billion settlement of the U.S. Roundup cancer litigation that, if approved, would allow Bayer to keep selling its controversial glyphosate weed killers while providing roughly $10,000 to $165,000 for individuals suffering from cancer they blame on Roundup use.

On pensait les antioxydants protecteurs : dans certaines tumeurs, ils pourraient au contraire aider le cancer

15 September 2026 at 04:28
Les radicaux libres ont mauvaise réputation. Ils endommagent l’ADN et sont associés au vieillissement et au cancer. Mais une découverte surprenante vient bousculer cette vision : certaines cellules immunitaires ont besoin de ces molécules pour s’attaquer aux tumeurs, qui ont justement trouvé le...

UCLA Scientists Develop Cancer-Fighting Cells That Tumors Struggle to Escape

Engineered T Cells Designed to Attack TumorsUCLA scientists engineered ready-made T cells from cord blood stem cells that can hunt solid tumors even when cancer cells hide their main target. T cell receptor therapy, commonly called TCR therapy, is a form of cancer treatment that genetically modifies immune cells known as T cells so they can recognize and attack cancer more [...]

Cancer : ce médicament vieux de 100 ans ouvre une piste inattendue contre les métastases

14 September 2026 at 07:00
Un médicament cardiaque vieux de 100 ans, dérivé de la digitale, pourrait bouleverser le traitement du cancer. Des chercheurs suisses ont découvert que la digoxine peut dissoudre les amas de cellules cancéreuses en circulation, limitant potentiellement leur propagation dans l'organisme. Cette...

Prostate Cancer | Where is the Survival Edge?

13 September 2026 at 23:11
I discuss age-related BPH and prostate cancer screenings, highlighting the unreliability of PSA tests. Having BPH does not increase prostate cancer risk. No advantage is gained from prostate cancer treatment. And there are recent studies linking COVID-19 vaccines to increased cancer risks, particularly prostate cancer.

America’s Health Care System Is So Screwed That Patients Are Flying to China for Cancer Treatment

13 September 2026 at 15:01

The myriad horrors of the US healthcare system have spawned generations of medical tourism from the wealthiest country on Earth to the periphery: Cuba, Mexico, Costa Rica, Canada, Turkey, and Thailand, to name just a few.

Now, Shanghai is quickly rising as one of the top destinations for cancer patients, as China’s biotech sector has spun an experimental treatment developed in the US into a standalone industry.

New reporting by the Wall Street Journal took a look at this fast-growth industry, centered around chimeric antigen receptor T-cell therapy, or CAR-T for short.

CAR-T is essentially a personalized form of immunotherapy, in which a patient’s own white blood cells are engineered to identify and attack specific proteins found in cancer cells. Though the process was first developed by US biotech giants, their inability — or unwillingness — to lower the cost and increase supply of the treatment has led to shortages throughout the country.

That’s where China comes in. As director of the CAR-T program at the University of Texas MD Anderson Cancer Center in Houston Sairah Ahmed told the WSJ, this therapy can cost around $150,000 to $230,000 in China — still a life-altering bill, but a sizeable discount compared to an insurmountable $550,000 to $850,000 in the US.

This, Ahmed says, is why she advises some patients to seek out treatment in the People’s Republic.

“China has basically done to CAR-T cell therapy the same thing that it’s done to other industries, which is, they’ve industrialized it,” Ahmed explained.

China’s CAR-T services aren’t just cheaper, either. They’re also faster, and come with a host of complimentary after-care treatments, the WSJ notes. As MD Anderson Cancer Center’s explainer on CAR-T therapy advises, the process of extracting and bio-engineering a patient’s cells to fight cancer can take over three weeks in the US. Compare that to China, where the WSJ reports labs near Shanghai can “crank out” the therapy in just a matter of days.

An important caveat here is that CAR-T cell therapy isn’t a catch-all for every type of cancer, and it’s typically only administered after other treatments have failed. It’s not exactly a walk in the park, either, requiring months of recovery and check-ups from a range of physical, neurological, and psychological health specialists. Still, if you had to go through with it, your first step should clearly be pricing out some flights to China.

More on healthcare: Bougie Health Startups Offering Full-Body Diagnostic Scans for Rich People While the Rest of Us Suffer a Crumbling Healthcare System

The post America’s Health Care System Is So Screwed That Patients Are Flying to China for Cancer Treatment appeared first on Futurism.

Pfizer Synthetic Vaccine Spike-Encoding Plasmid DNA Found Inside Deadly TURBO CANCER of the Heart

13 September 2026 at 00:15
A new study presents alarming findings linking mRNA COVID-19 vaccines to aggressive heart tumors, as plasmid DNA fragments from the vaccine were found in a 35-year-old patient’s cardiac tumor developed shortly after vaccination. This evidence prompts calls for the immediate removal of mRNA technology from global markets, challenging prior dismissals of "turbo cancer."

AI trained to 'think' like human pathologists may be better at spotting cancer

12 September 2026 at 13:00

Artificial intelligence (AI) algorithms that hunt for cancer may do a better job when they approach the analysis as if they were a human pathologist, a new study suggests.

Many AI systems analyze preselected regions of a tissue sample, or they split a whole pathology slide into patches of a fixed size. By contrast, a pathologist searches more dynamically, panning across the tissue, zooming in and out, and pausing over areas that raise red flags. A whole slide can contain billions of pixels, while the evidence of cancer may occupy only a tiny patch.

Study co-author Zhi Huang, an assistant professor of pathology and laboratory medicine at the University of Pennsylvania, compared the process to a search-and-rescue helicopter. "You don't start by inspecting one square meter of ground," Huang told Live Science. You scan the landscape first and then swoop in for a closer look.

In the new study, published in July in the journal Nature, Huang and colleagues demonstrated that cancer-detecting AI might work better when it takes this humanized approach.

Training AI to hunt for cancer

AI algorithms called vision language models (VLMs) struggle with the first step that Huang described — that initial, cursory scan. That's in part because many pathology AI systems learn from what pathologists leave behind at the end of that search: a labeled image pointing out where the cancer is or an official diagnosis.

Instead, the researchers trained their new AI on pathologists' search behavior. They called this approach to training "Pathology-CoT," short for "chain of thought." It turns observable actions, including where pathologists move around and zoom in on an image, into training data.

To collect the data, the team created a tool that recorded how pathologists moved around a slide and changed magnification. The raw logs, gathered from eight pathologists, were messy, as a given pathologist might drift across a slide, overshoot their intended region of focus or fiddle with magnification to adjust it to their liking.

To clean up the data, the researchers filtered out those incidental movements, focusing on moments that appeared to represent deliberate attention, such as lingering over one view or making a sustained pan. Then, they compared those regions with eye-tracking data to check that the software was capturing where pathologists were actually looking.

For each region a pathologist inspected, the VLM also drafted a short rationale explaining why the region was worth examining and what features were visible; human pathologists could then accept, edit, or reject the rationale, creating additional training data for the AI. In one example, the AI flagged a portion of a slide as potentially metastatic and suggested zooming in to look for atypical cells. Other inspected regions were flagged as healthy tissue.

Ultimately, the researchers used this training method to build a new tool called Pathology-o3. It scans a slide at low resolution, uses a model trained on pathologists' behavior to choose regions worth a closer look, then sends higher-resolution views of those regions to a VLM for analysis.

A close up of a microscope lens looking at a glass slide on the microscope mount.

Pathology-CoT trains algorithms to scan over a whole slide and then return to regions of interest for a closer look. (Image credit: Universal Images Group via Getty Images)

Putting it to the test

Huang said the goal of the new study was not to show that Pathology-o3 worked better than specialized AI models that are specifically built to detect specific types of cancer; those models are often trained disease by disease. Rather, the researchers wanted to see whether their new training approach could help a general-purpose AI navigate a pathology slide more effectively.

They compared Pathology-o3 to other general-use AI systems, such as OpenAI's o3, and asked the algorithms to examine slides containing lymph node tissue. These slides were collected from colorectal cancer cases and some contained metastatic cancer, which human pathologists had already labeled.

The algorithm correctly identified slides that were positive for cancer 100% of the time. However, of the slides it identified as positive, 15.5% were actually negative. By comparison, OpenAI o3 correctly identified slides that were positive for cancer 87.5% of the time. Of the slides it identified as positive, 53.3% were actually negative.

The researchers designed Pathology-o3 to err on the side of flagging something for another look, rather than potentially missing cancer. That might help to explain the rate of false positives, Huang said.

Whether that rate of false alarms is acceptable depends on how Pathology-o3 is used, said Mohammad Asadi, a data scientist at Stanford University who was not involved in the research. It's not precise enough for the AI to diagnose patients on its own, but it could still be useful for a system to point a human toward regions of a slide that are worth double-checking. It may be an advantage that the approach shows the pathologist a specific region to inspect rather than declaring an entire slide suspicious, he said.

The researchers tried repeating the test on an independent dataset that the algorithms hadn't seen before to see how well it worked on unfamiliar slides. Pathology-o3 correctly identified slides that were positive for cancer 97.6% of the time. Of the slides it identified as positive, 37.1% were actually negative. The finding is an example of how AI performance can change when the data source changes, even when the medical task stays the same.

Asadi explained this result suggests the system can still work with slides from a different source. But that result does not yet show that using this tool would make pathologists more accurate or efficient in practice.

Can it help pathologists?

The researchers applied their training approach to several existing VLMs, finding that the models' performance consistently improved after the training. That suggests that the navigation data from pathologists was useful across settings, Asadi said.

For Huang, that is the most important result. "The takeaway isn't our system," he said. "It's that the missing ingredient has been sitting in hospitals this whole time."

The study did not compare Pathology-o3 directly with human pathologists, but the researchers said that wasn't their aim.

"The right question isn't whether it beats a pathologist," Huang said. "It's whether a pathologist working with it catches more [cancer cases] and works faster." The current study did not address the latter question, either, but the team's next experiment is designed to test pathologists on the same cases with and without Pathology-o3, measuring what they catch and how long they take to do so.

The system's most plausible use is as a prescreening tool, Asadi said, but he stressed that the research has not yet shown that doctors who use it become faster or more accurate. Asadi wants an even tougher test: trials conducted across multiple hospitals that measure not just accuracy and speed but also pathologists' workloads. He wants the trails to assess the burden of false alarms from the AI algorithms and whether doctors recognize when the AI is wrong.

Importantly, cancer diagnoses can require information from multiple slides, stains and a patient's medical history, while the current system just reads one slide at a time. "I wouldn't claim it should diagnose on its own," Huang said.

This article is for informational purposes only and is not meant to offer medical advice.

Dense Breasts May Create a Hidden Cancer-Friendly Environment

11 September 2026 at 12:04

A mammogram does more than search for suspicious lumps. It can also show whether a woman’s breasts contain a large amount of dense tissue, a feature that has long been associated with a higher chance of developing breast cancer. For many years, breast density was especially important because it could hide small tumors on mammograms. […]

The post Dense Breasts May Create a Hidden Cancer-Friendly Environment appeared first on Knowridge Science Report.

North Carolina secures $455 million PFAS settlement, plus $135 million cleanup reserve

11 September 2026 at 11:43


North Carolina has secured $455 million in payments from Chemours, DuPont and Corteva over PFAS pollution, along with a separate $135 million reserve intended to protect future drinking water and cleanup work.

Giant-nucleus cells emerge as early cancer markers in new study

11 September 2026 at 11:21

For more than four decades, pathologists have glimpsed something unsettling under the microscope in the earliest stages of certain cancers: cells with nuclei far larger than they should be, swollen and distorted, lurking in tissue that otherwise appears on the verge of catastrophe. These so-called giant-nucleus cells, or karyomegalic cells, were first spotted in the 1980s in animal experiments involving iron-induced oxidative stress, yet their biological identity and their role in the genesis of cancer remained stubbornly obscure. Now, a team of researchers in Japan has provided the most detailed portrait of these cells to date, and their findings suggest that the enormous nuclei may be far more than a curiosity—they could be the founding population of early cancer, visible before any tumor exists, and potentially useful as a predictor of patient outcomes.

The study, led by Shinya Toyokuni, professor emeritus at Nagoya University Graduate School of Medicine, together with assistant professor Yingyi Kong and colleagues, was published in Redox Biology. The work addresses a deceptively simple question: when iron overload kills most cells in a tissue through oxidative damage, who survives, and what do the survivors become? Iron is an essential micronutrient, but in excess it is a potent carcinogen. Its chemistry is both the reason we need it and the reason it can harm us. Iron catalyzes the formation of hydroxyl radicals from hydrogen peroxide through the Fenton reaction, and these radicals shred DNA, oxidize lipids, and damage proteins. When the damage is severe enough, a form of programmed cell death called ferroptosis is triggered—an iron-dependent demise characterized by lipid peroxidation cascades that rupture the cell membrane. Ferroptosis has become one of the hottest topics in cancer biology precisely because it links iron metabolism, oxidative stress, and cell fate in a single mechanism.

Toyokuni’s team reasoned that if ferroptosis sweeps through iron-damaged tissue, the cells that escape it must be exceptional in some way, and those exceptions might be the seed of malignancy. To find out, they turned to a well-established animal model in which ferric nitrilotriacetate, a carcinogenic iron compound, is injected into rats, delivering a bolus of iron to the kidneys. The compound accumulates in the proximal tubules, where it catalyzes oxidative damage and, over months, produces renal cell carcinoma. In the experiments, the researchers collected kidney tissue before the injection and again one and three weeks afterward. Crucially, they also included a second experimental group: rats carrying a single mutated copy of the BRCA1 gene, the same gene that, when mutated in humans, dramatically raises the risk of breast and ovarian cancers and is associated with renal carcinoma in certain contexts.

The methodological heart of the study lies in its marriage of two technologies. The first is spatial transcriptomics, a technique that maps gene activity across individual cells within a tissue section while preserving the tissue’s original architecture—so researchers can see not only which genes are active but where in the tissue those transcriptional programs are operating. The second is computational nuclear morphometry, which quantifies the size, shape, and density of cell nuclei in the same samples. By overlaying the two datasets, the team could link the physical appearance of each cell—above all, the size of its nucleus—to its underlying transcriptional state. This integration is important because morphological atypia has long been the currency of diagnostic pathology, but connecting that atypia to molecular signatures at single-cell resolution is a recent capability.

What emerged within a week of iron administration was striking. Giant-nucleus cells appeared in the damaged kidneys, and these cells were not simply wounded cells awaiting death. They showed elevated expression of potent oncogenes, including Myc and Met, and they had acquired resistance to ferroptosis—the very cell death pathway that was eliminating their neighbors. In other words, the extreme oxidative environment had functioned as a brutal selective pressure, and the cells best adapted to survive it had activated a program that resembles, in miniature, the hallmark machinery of cancer. The enrichment of Myc, a transcription factor that drives cell growth and proliferation, and Met, a receptor tyrosine kinase involved in invasive growth, paints a picture of cells that are not merely enduring damage but reorganizing themselves around it.

The BRCA1 connection proved equally consequential. BRCA1 is best known as a guardian of the genome, a scaffold for the homologous recombination machinery that repairs double-strand DNA breaks. In the BRCA1-mutant rats, giant-nucleus cells emerged with distinctly different biological profiles from those in wild-type animals. The interpretation the researchers offer is that BRCA1 deficiency cripples DNA repair, so more of the damaged cells that would otherwise die or be repaired instead survive in their injured, genome-compromised state—becoming precancerous giant-nucleus cells. Electron microscopy and cellular respiration measurements reinforced this idea at the subcellular level: cells from BRCA1-mutant rats showed mitochondrial remodeling, with impaired iron handling and compromised respiratory function. Mitochondria, long appreciated as power plants, are also central regulators of ferroptosis and iron metabolism, and their disarray in the mutant animals may be both a consequence of BRCA1 loss and a driver of the abnormal iron biology that feeds karyomegaly.

Using their combined gene-expression and nuclear-shape data, the researchers went further and classified the giant-nucleus cells into six distinct types. One type possessed extremely large nuclei and gene signatures of stress-induced growth arrest—cells that appear to have locked themselves into a senescent-like state, consistent with profiles reported in earlier studies. Another type, found more frequently in BRCA1-mutant kidneys, showed heightened activity of cancer-related genes alongside elongated nuclei, a combination the authors interpret as a potential precancerous state. The taxonomy matters because it reframes giant-nucleus cells from a single enigmatic category into a spectrum, some members of which may be harmless or even protective while others carry genuine malignant potential.

One of the most provocative findings concerns the cells surrounding the giants. Even morphologically normal cells near giant-nucleus cells exhibited gene expression changes that appear to promote survival, suggesting that the karyomegalic cells remodel their local microenvironment in ways that extend beyond their own borders. In BRCA1-mutant kidneys, the team also documented a substantial increase in stromal cells—non-cancerous supportive cells including immune and connective tissue elements—around the damaged regions. The local tissue environment, the tumor niche in the language of modern oncology, was being reshaped long before any tumor could be called a tumor. This raises the possibility that a single conspicuous cell, easily identified by its nucleus under a conventional microscope, could serve as a sentinel for a whole neighborhood of incipient malignancy.

The leap from rat kidneys to human medicine came through two complementary analyses. First, the researchers mined TCGA-KIRC, a large public database of kidney cancer patients, asking whether tumors carrying gene-expression patterns resembling the cancer-prone giant-nucleus cells were associated with different clinical trajectories. They were: patients whose tumors shared the gene patterns of the cancer-prone giant-nucleus cells had shorter survival times, while those with patterns resembling the healthier giant-nucleus cell types had better outcomes. Not all giant-nucleus cells, in other words, are created equal, and the transcriptional fingerprints defined in the rat model appear to carry prognostic weight in human disease. Second, in a small pilot study, the team examined breast tissue from seven individuals with inherited BRCA1 mutations and fifteen without, observing abnormal nuclear features similar to those in the animal model in the mutation carriers. While the sample size is modest, the parallel hints that karyomegaly may be a cross-tissue marker of BRCA1-linked precancerous change.

The broader implications run in two directions. Clinically, the promise is that giant-nucleus cells, being easy to spot under the microscope, could function as early indicators of cancer—visible warnings in tissue that would otherwise be classified as merely damaged or inflamed. The TCGA survival data suggest that their gene-expression signatures might even stratify patients by risk once a tumor has formed. Scientifically, the study offers a concrete mechanism connecting an environmental exposome factor—iron-catalyzed oxidative stress—to a defined, transcriptionally characterized precancerous population, with ferroptosis resistance as the pivot. It also implies testable therapeutic hypotheses: if blocking mitochondrial remodeling or reversing ferroptosis resistance could prevent the persistence of the precancerous cells, early intervention might stop cancer before it starts. Toyokuni and his colleagues are careful to note that long-term studies will be needed to determine how giant-nucleus cells actually progress into tumor cells, whether such interventions can work, and whether nuclear shape combined with gene patterns can be validated as a diagnostic in larger patient cohorts. But the central message is already legible: some of the earliest chapters of cancer may be written in cells that have grown too large to be ignored.

Subject of Research: Animals

Article Title: Iron-catalyzed oxidative stress reveals an exposome-related ferroptosis-resistant karyomegalic niche in BRCA1-linked renal carcinogenesis.

Article References: Kong, Y., Shiraki, Y., Furuhashi, K., Maruyama, S., Imaoka, T., Enomoto, A., & Toyokuni, S. (2026). Iron-catalyzed oxidative stress reveals an exposome-related ferroptosis-resistant karyomegalic niche in BRCA1-linked renal carcinogenesis. Redox Biology, 95, Article 104293. https://doi.org/10.1016/j.redox.2026.104293

Image Credits: AI Generated

DOI: 10.1016/j.redox.2026.104293

Keywords: giant-nucleus cells, karyomegaly, ferroptosis, BRCA1, iron-catalyzed oxidative stress, spatial transcriptomics, renal carcinogenesis, mitochondrial remodeling, nuclear morphometry, precancerous cells, TCGA-KIRC, Nagoya University

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