STAT+: In early trial, CAR-T results raise hope of preventing multiple myeloma in high-risk patients

SAN DIEGO — Alison Cameron spent close to a decade fighting to keep her myeloma under control. She’d been diagnosed with smoldering multiple myeloma, a precursor to cancer, and received infusions to keep it from progressing to active multiple myeloma for years. Now, after receiving CAR-T therapy, an aggressive immunotherapy, while on a trial, the 54-year old anesthesiologist is hoping the risk of cancer is gone for good.

It’s a reasonable hope, given the results of that trial, which researchers presented at the American Association for Cancer Research meeting here on Monday. All 20 patients who received the trial treatment no longer had any detectable myeloma cells in their body. That’s a far deeper and more complete response than scientists typically expect when it comes to multiple myeloma, and it’s prompting some experts to consider the possibility these patients have truly had active cancer permanently averted.

Currently, there is only one approved therapy for high risk smoldering myeloma, an antibody therapy called Darzalex. Patients can remain on treatment for years, but without achieving these kinds of deep molecular responses, and many still progress within five years, said Ecaterina Dumbrava, a cancer researcher at MD Anderson Cancer Center who did not work on the study. “The results raise a very important question: Whether early immune interception can not only delay progression but redefine treatment goals? Can we talk about the word we always avoid, which is cure?” she said.

Continue to STAT+ to read the full story…

3D-Printed Neural Electrodes Can Be Tailored for Personalized Neural Monitoring

Researchers at Penn State University have developed a method to create 3D-printed soft electrodes that can conform to an individual brain surface to provide more accurate patient-specific tracking of biophysical signals in the brain. The study, published in Advanced Materials, details a new technique to create neural interfaces that improve upon current stiff methods to more closely conform to the complex structure of the brain.

“Each person has a different brain structure, depending on their height, weight, age, sex and more,” said Tao Zhou, PhD, Wormley Family Early Career Professor and corresponding author of the study. “Despite this, we try to fit neural interfaces onto brains like they have identical structures. This motivated us to create electrodes that are tailored for each individual, based on the structure of their brain.”

The new electrodes are created using hydrogel, a water-rich material that has properties similar to brain tissue, and built in a honeycomb-like internal structure to help balance flexibility and strength. These soft electrodes, dubbed HiPGE for honeycomb-inspired printable gel electrodes, are fabricated using a 3-D printing method called direct ink writing, which allows for precise shaping at very small scales. The honeycomb design reduces stiffness allowing the electrodes to stretch and conform to the brain’s ridges and grooves without damaging brain tissue.

To individualize the design process, a patient would first have an MRI scan, which is used to create detailed simulations of each brain scanned. The simulations inform the how to create the shape of each electrode so it aligns with the patient’s specific cortical folds. The team then 3D prints both the electrode and a model of the brain to test how closely the device fits. In experiments involving 21 human brain models, the printed electrodes demonstrated improved conformity compared to traditional designs.

“The unique gyral patterns of the human brain demand patient-specific neural interfaces to achieve precise neuromodulation, mitigate adverse tissue responses, and optimize therapeutic efficacy and safety,” the researchers wrote, noting that conventional rigid electrodes “exhibit limited conformability to the brain’s heterogeneous cortical topography,” resulting in “poor electrode-tissue contact, signal loss, and foreign body responses.”

To evaluate HiPGE performance and biological compatibility, the researchers conducted 28-day in vivo tests in rat models. Results from the tests showed that electrodes maintained stable function for the entire the testing period and did not trigger an immune response. The flexible electrodes also provided consistent and accurate readings of electrical and physiological signals in the brain.

Prior research has studied soft-material neural interfaces, but customization to individual gyral patterns has been limited. The introduction of a combined imaging, modeling and printing design workflow has solved this limitation by enabling electrodes to be tailored at the patient level.

The researchers wrote that the folded structure of the brain “creates a unique ‘fingerprint’ for each brain.” They also noted that current rigid devices can lead to “signal degradation due to scar formation,” and can create instability caused by the mismatch between the stiff neural interface materials and soft brain tissue.

Clinically, the improved contact between electrode and brain tissue could provide more reliable monitoring of neural activity, an important improvement for diagnosing and managing neurological conditions. Better signal fidelity could enhance applications such as brain-computer interfaces, neuroprosthetics, and neuromodulation therapies. The soft, conformable design may also reduce complications associated with long-term implantation, including inflammation and tissue damage.

“This tailored design ensures robust electrode-tissue integration, minimizing mechanical mismatch and improving signal fidelity during in vivo neural activity recording,” the researchers wrote. They added that studies “confirmed HiPGE’s biocompatibility, revealing no significant immune response or structural disruption to brain tissue.”

Future research will seek refine the technology for specific disease monitoring and exploring its use in clinical settings. They also aim to optimize the devices for targeted neurological conditions, which could inform the development of more precise and individualized care strategies.

The post 3D-Printed Neural Electrodes Can Be Tailored for Personalized Neural Monitoring appeared first on Inside Precision Medicine.

New KIR-CAR T Cell Therapy Shows Promise in Solid Tumors

Chimeric antigen receptor (CAR) T cell therapies have transformed the treatment of certain blood cancers, yet translating this success to solid tumors has remained a major challenge. One of the key obstacles has been T cell exhaustion, a state in which engineered immune cells lose their ability to sustain an effective anti-tumor response.

Now, early clinical data from a first-in-human Phase I trial suggest a new approach may help overcome this limitation. Presenting at the AACR annual meeting in San Diego, researchers from the Perelman School of Medicine at the University of Pennsylvania report that a novel “KIR-CAR” T cell therapy shows promising safety and early efficacy signals across multiple solid tumor types.

New design inspired by natural killer cells

The investigational therapy, SynKIR-110, represents a departure from traditional CAR T designs. Rather than using a single-chain receptor, the therapy is modeled after natural killer (NK) cell receptors and uses a “multi-chain” architecture.

This design separates tumor recognition from activation, effectively creating an intrinsic “on-off” mechanism. The T cell remains in a resting state until it encounters its target, at which point the receptor components assemble to trigger an immune attack.

“The KIR-CAR design provides a natural ‘on-off’ mechanism, which helps avoid the problem of T cell exhaustion,” said Janos L. Tanyi, MD, PhD, principal investigator of the study. “The CAR turns on when it finds its target, kills it, and then rests, rather than constantly burning energy.”

This contrasts with conventional CAR T cells, which remain continuously active and can become depleted over time, limiting their effectiveness—particularly in the more complex microenvironment of solid tumors.

Early clinical signals in difficult-to-treat cancers

The Phase I dose-escalation trial enrolled nine patients with advanced, mesothelin-expressing cancers, including ovarian cancer, mesothelioma, and cholangiocarcinoma. These patients had limited treatment options, having received an average of four prior lines of therapy.

Although the primary goal of the study was to assess safety, early signs of efficacy were observed. Disease stabilization was reported in four patients, and one patient in the highest dose cohort achieved an ongoing partial response.

“These are cancer types that have never had an approved cell therapy,” Tanyi said. “We’re seeing good efficacy signals, even at low doses, and limited toxicity.”

The results suggest that the therapy may be able to generate meaningful anti-tumor responses even in heavily pretreated populations.

Favorable safety profile

Safety has been another major barrier for CAR T therapies, particularly in solid tumors. However, the KIR-CAR approach appears to mitigate some of these concerns.

No dose-limiting toxicities were observed in the initial cohorts. Cytokine release syndrome (CRS), a common side effect of CAR T therapy, occurred in 33% of patients but was limited to low-grade events. Notably, there were no cases of immune effector cell-associated neurotoxicity syndrome (ICANS), a more severe complication sometimes seen with CAR T therapies.

The ability to limit toxicity while maintaining activity is a key step toward broader application of cell therapies in solid tumors.

Targeting mesothelin across tumor types

SynKIR-110 targets mesothelin, a protein expressed on the surface of several solid tumors but largely absent from normal tissues. This makes it an attractive target for immunotherapy, particularly in cancers such as ovarian cancer and mesothelioma, where treatment options are limited.

The trial results indicate that the therapy’s activity is not confined to a single tumor type, raising the possibility of broader applicability across mesothelin-expressing cancers.

Expanding CAR T into solid tumors

The findings come amid growing efforts to adapt CAR T technology for solid tumors. While the approach has revolutionized hematologic malignancies, solid tumors present additional challenges, including immunosuppressive microenvironments, physical barriers to T cell infiltration, and antigen heterogeneity.

Researchers are exploring multiple strategies to address these barriers, including improved targeting, combination therapies, and next-generation receptor designs such as KIR-CAR.

As noted by CAR T pioneer Carl June, MD, advancing cellular therapies into solid tumors remains a central goal for the field.

Looking ahead

The Phase I study is ongoing, with plans to enroll up to 42 patients and identify the maximum tolerated dose before advancing to a Phase II trial. Early data indicate that CAR T cell expansion in the blood increases with dose, suggesting that higher doses may further enhance efficacy.

While still preliminary, the results highlight the potential of multi-chain CAR designs to address one of the most persistent challenges in cell therapy: maintaining durable activity without excessive toxicity.

If confirmed in larger studies, KIR-CAR therapies could represent a new generation of engineered immune cells, ones that more closely mimic natural immune regulation while retaining the precision of targeted cancer therapy.

For now, the data offer an encouraging signal that the next wave of CAR T innovation may finally extend the reach of cell therapy into solid tumors, where the need remains greatest.

The post New KIR-CAR T Cell Therapy Shows Promise in Solid Tumors appeared first on Inside Precision Medicine.

Distinct Nature of Parkinson’s Disease Gut Microbiome Identified

Research led by University College London has characterized a specific gut microbiome signature found in people with Parkinson’s disease.

Writing in Nature Medicine, the researchers also found that people carrying a genetic mutation in the GBA1 gene that put them at risk of developing Parkinson’s disease had gut microbiomes similar to people with the condition.

Parkinson’s is the second most common neurodegenerative disease in the U.S. after Alzheimer’s disease affecting more than one million people across the country. By the time full-blown motor symptoms emerge, a large degree of neurological damage has already occurred, so much work is underway to find ways to predict and diagnose early disease, as well as to develop more effective treatments.

“In recent years there has been a growing recognition of the links between Parkinson’s disease—a brain disorder—and gut health,” said co-lead author Anthony Schapira, MD, a professor at UCL Queen Square Institute of Neurology, in a press statement.

“Here we have strengthened that evidence and shown that microbes in the gut can reveal signs of Parkinson’s and may be an early warning signal… years before symptom onset.”

For this study, the researchers evaluated gut microbiome samples from 271 Parkinson’s disease patients, 43 people carrying GBA1 risk variants who did not yet have disease symptoms and 150 healthy controls. They also validated their findings in a further 638 people with Parkinson’s and 319 healthy controls from the U.K., Korea, and Turkey.

Schapira and team used DNA sequencing to see which bacterial species were present in each person’s gut. Comparing people with Parkinson’s disease to healthy controls, they found 176 bacterial species that were more or less common in people with the condition.

For example, people with Parkinson’s had more potentially pro‑inflammatory bacteria, including Bifidobacterium longum and B. dentium, Streptococcus mutans, and Lactobacillus paragasseri, than healthy controls.

In contrast, healthy controls had more helpful, butyrate‑producing gut bacteria from including Roseburia intestinalis, R. inulinivorans and some Faecalibacterium species and less pro-inflammatory species.

Notably, people in the at-risk group who carried a GBA1 risk variant had a gut microbiome somewhere between healthy controls and people with Parkinson’s, suggesting that the composition of microbes in the gut may change over time as the disease develops. In this group, 142 of the 176 species that differed in people with Parkinson’s versus healthy controls also showed changed abundance.

“For the first time we identify bacteria in the gut of people with Parkinson’s that can also be found in those with a genetic risk for the disease, but before they develop symptoms. Importantly, these same changes can be found in a small proportion of the general population that may put them at increased risk for Parkinson’s,” said Schapira.

“This discovery opens the way not only to see if the bacteria are a way to identify those at risk of Parkinson’s, but also to see if changing the bacterial population, through dietary changes or medication, can reduce a person’s risk for Parkinson’s.”

The post Distinct Nature of Parkinson’s Disease Gut Microbiome Identified appeared first on Inside Precision Medicine.

STAT+: Trump order to advance psychedelic treatments generates excitement — and worries

President Trump’s executive order aimed at loosening restrictions on psychedelics as mental health treatments was largely applauded by advocates. But some also quietly worry the White House’s role in trying to bolster the field risks politicizing it and undermining the credibility of research.

The order, which was reported to have stemmed at least in part from a text podcaster Joe Rogan sent Trump about psychedelics research, directs the Food and Drug Administration to expedite the review of some compounds and calls for the establishment of a new regulatory pathway for experimental psychedelics to be tried by terminally ill patients. It also allocates funding to states developing research programs.

While the order does not actually reschedule any drugs or change legislation, many advocates and researchers welcomed the move, saying it signals the administration’s interest in advancing psychedelics as treatments and could help ease bottlenecks in expanding access.

Continue to STAT+ to read the full story…

Decoding Resistance to Targeted Therapy via New Cancer Models

ATCC and the Broad Institute report the development of engineered isogenic cancer models designed to replicate resistance to targeted therapies, beginning with osimertinib, the latest-generation epidermal growth factor receptor (EGFR) inhibitor used to treat non-small cell lung cancer (NSCLC) with EGFR mutations.

According to the researchers, the work addresses a critical challenge in oncology—treatment resistance that emerges over time. EGFR-mutant lung cancer was among the first subsets of a major epithelial cancer where directly targeting an oncogene was associated with marked clinical benefit. While targeted therapies have significantly improved overall survival, resistance inevitably develops.

cancer drug resistance
Understanding resistance mechanisms is essential for identifying combination therapies capable of producing durable responses and potentially disease-free remissions. [Planet Flem/Getty Images]

Developing resistant models directly from patient tumors can take years due to the scarcity of samples. In contrast, engineering resistance mechanisms in controlled laboratory models allows researchers to systematically study multiple escape pathways much faster.

To accelerate discovery, scientists from ATCC and the Broad Institute collaborated to engineer a panel of drug-resistant NSCLC models using CRISPR gene editing and gene overexpression techniques. These models systematically model the resistance mechanisms that arise in patients treated with osimertinib, note the researchers.

“With this powerful new set of tools, drug-sensitive and drug-resistant cancer cells can be studied side by side to understand therapeutic resistance and the underlying drivers,” says Roth Cheng, PhD, CEO of ATCC. “By creating and providing these cancer models along with a rich data-set to the global research community, our hope is to reveal hidden targets and combination strategies that turn today’s treatment failures into tomorrow’s breakthrough. We look forward to extending this approach to additional cancer types.”

Engineering drug-resistant lung cancer models

Led by William R. Sellers, MD, director of the cancer program at the Broad Institute, Fang Tian, PhD, director of biological content at ATCC, and Francisca Vazquez, PhD, director of the Cancer Dependency Map (DepMap) at the Broad Institute, the team identified representative classes of resistance mechanisms to osimertinib. They then selected three disease-representative, osimertinib sensitive NSCLC cell lines as the foundation for developing the new isogenic drug-resistant cell models.

ATCC engineered the selected authenticated cell lines with resistance mechanisms using CRISPR-based methods. The six resistance mechanisms included: PIK3CA E545K mutation, KRAS G12D mutation, BRAF V600E mutation, EGFR C797S mutation, CCDC6-RET fusion, and TPM3–NTRK1 fusion.

In addition, scientists at the Broad Institute are generating additional resistant cell lines driven by gene amplification mechanisms using overexpression methods.

These engineered isogenic model systems allow researchers to compare genetically matched cancer cells that differ only by a specific resistance alteration—providing a powerful framework to study how tumors evolve under targeted therapy.

The models will be integrated into the DepMap, a global effort to identify genetic vulnerabilities across hundreds of cancer cell models. The collaboration also contributes to the development of a Response and Resistance Map (ResMap), an emerging framework designed to systematically characterize how cancers respond to therapy and how resistance evolves.

cancer researchers
Engineered isogenic model systems allow researchers to compare genetically matched cancer cells that differ only by a specific resistance alteration—providing a powerful framework to study how tumors evolve under targeted therapy. [Sanjeri/Getty Images]

“Drug resistance remains one of the most significant barriers to durable cancer treatment,” said Kirsty Wienand, PhD, senior research scientist in DepMap at the Broad. “Systematically engineering resistance mechanisms in well-characterized cell models allows us to study how tumors adapt to targeted therapy. Integrating these models into DepMap will help researchers worldwide identify new vulnerabilities and potential therapeutic combinations.”

The collaboration ensures that both the biological models and the associated data will be widely accessible to the scientific community, says the research team. Data will be integrated into the DepMap portal, with links to the corresponding ATCC cell line identifiers. In addition, the engineered cell lines will be distributed globally through ATCC following authentication and quality control.

Systematically engineering clinically relevant resistance mechanisms in lung cancer models, the collaboration establishes a scalable framework for studying how tumors escape targeted therapies, explain the scientists, adding that the resulting models and datasets will help researchers identify new vulnerabilities and therapeutic strategies to overcome drug resistance and improve outcomes for patients with cancer.

By combining advanced cell engineering, functional genomics, and computational biology, the collaboration should provide an important resource for studying drug resistance, cancer vulnerabilities, and precision oncology strategies.

 

ATCC and the Broad Institute will present the research findings at the American Association for Cancer Research® (AACR) Annual Meeting 2026, April 17–22 in San Diego:

Title: Engineering isogenic models harboring resistance mechanisms to the latest-generation EGFR inhibitor in non-small cell lung cancer

Session Category: Experimental and Molecular Therapeutics; Session Title: Drug Resistance 2: Tyrosine Kinase Inhibitors

Date: April 22, 2026, 9:00 AM–12:00 PM, Poster Section 11, Poster Board: 8, Poster Number: 7029

The post Decoding Resistance to Targeted Therapy via New Cancer Models appeared first on GEN – Genetic Engineering and Biotechnology News.

The Download: murderous ‘mirror’ bacteria, and Chinese workers fighting AI doubles

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

No one’s sure if synthetic mirror life will kill us all

In February 2019, a group of scientists proposed a high-risk, cutting-edge, irresistibly exciting idea that the National Science Foundation should fund: making “mirror” bacteria.

These lab-created microbes would be organized like ordinary bacteria, but their proteins and sugars would be mirror images of those found in nature. Researchers believed they could reveal new insights into building cells, designing drugs, and even the origins of life.

But now, many of them have reversed course. They’ve become convinced that mirror organisms could trigger a catastrophic event threatening every form of life on Earth. Find out why they’re ringing alarm bells.

—Stephen Ornes

This story is from the next issue of our print magazine, which is all about nature. Subscribe now to read it when it lands this Wednesday.

Chinese tech workers are starting to train their AI doubles—and pushing back

Earlier this month, a GitHub project called Colleague Skill struck a nerve by claiming to “distill” a worker’s skills and personality—and replicate them with an AI agent. Though the project was a spoof, it prompted a wave of soul-searching among otherwise enthusiastic early adopters.

A number of tech workers told MIT Technology Review that their bosses are already encouraging them to document their workflows for automation via tools like OpenClaw. Many now fear that they are being flattened into code and losing their professional identity.

In response, some are fighting back with tools designed to sabotage the automation process.

Read the full story.

—Caiwei Chen

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 The White House and Anthropic are working toward a compromise
The Trump administration says they had a “productive meeting.” (Reuters $)
+ Trump had ordered US agencies to phase out Anthropic’s tech. (Guardian)
+ Despite the blacklist, the NSA is using Anthropic’s new Mythos model. (Axios)

2 Palantir has unveiled a manifesto calling for universal national service
While denouncing inclusivity and “regressive” cultures. (TechCrunch)
+ It’s a summary of CEO Alex Karp’s book “The Technological Republic.” (Engadget)
+ One critic called the book “a piece of corporate sales material.“ (Bloomberg $)

3 Germany’s chancellor and largest company want looser AI rules
Chancellor Merz said industrial AI needs ‌more regulatory freedom. (Reuters $)
+ Siemens says it plans to shift investments to the US if EU rules don’t change. (Bloomberg $)
+ Fractures over AI regulation are also emerging in the US. (MIT Technology Review)  

4 Nvidia’s once-tight bond with gamers is cracking over AI  
Consumer graphics cards are no longer the priority. (CNBC)
+ But generative AI could reinvent what it means to play. (MIT Technology Review)

5 Insurers are trying to exclude AI-related harms from their coverage
And escape legal liability for AI’s mistakes. (FT $)
+ AI images are being used in insurance scams. (BBC)

6 AI is about to make the global e-waste crisis much worse
And most of the trash will end up in non-Western countries. (Rest of World)
+ Here’s what we can do about it. (MIT Technology Review)

7 Tinder and Zoom have partnered with Sam Altman’s eye-scanning firm
To offer a “proof of humanity” badge to users. (BBC)

8 Islamist insurgents in West Africa are driving surging demand for drones
A Nigerian UAV startup is opening its first factory abroad in Ghana. (Bloomberg $)

9 Hundreds of fake pro-Trump AI influencers are flooding social media
In an apparent bid to hook conservative voters. (NYT)

10 A Chinese humanoid has smashed the human half-marathon record
Despite crashing into a railing near the end of the race. (NBC News)
+ Chinese tech firm Honor swept the podium spots. (Engadget)
+ Last year, humans won the race by a mile. (CNN)

Quote of the day

“This is the only issue where you’ve got Steve Bannon and Ralph Nader, Glenn Beck and Bernie Sanders fighting for the same thing.”

—Ben Cumming, head of communications at the AI safety nonprofit Future of Life Institute, tells the Washington Post that diverse public figures are endorsing a declaration of AI policy priorities.

One More Thing

International Space Station photographed from space with Earth in the distance

NASA


The great commercial takeover of low Earth orbit

The International Space Station will be decommissioned as soon as 2030, but the story of America in low Earth orbit (LEO) will continue. 

Using lessons from the ISS, NASA has partnered with private companies to develop new commercial space stations for research, manufacturing, and tourism. If they are successful, these businesses will bring about a new era of space exploration: private rockets flying to private destinations.

They will also demonstrate a new model in which NASA builds infrastructure and the private sector takes it from there—freeing the agency to explore deeper and deeper into space. Read the full story.


—David W. Brown

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ Bask in thisadorable test of a dog’s devotion.
+ This vocal pitch trainer improves your singing straight from your browser.
+ Master international etiquette with this interactive guide to the world’s cultures.
+ Explore the networks of public figures with this intriguing interactive graph

Altered static and dynamic regional homogeneity in basal ganglia–thalamocortical circuits and their association with neuropsychiatric manifestations in Wilson’s disease

PurposeWilson’s disease (WD) is an autosomal recessive disorder caused by ATP7B mutations, resulting in impaired copper metabolism and progressive neuropsychiatric manifestations. This study investigated spatiotemporal alterations in regional brain activity using static and dynamic resting-state fMRI with regional homogeneity (ReHo), and their relationships with clinical features.MethodsResting-state fMRI data were acquired from WD patients and healthy controls (HCs). Static and dynamic ReHo analyses were performed to characterize local synchronization strength and temporal variability of spontaneous neural activity. Group differences were assessed across the basal ganglia, thalamus, cerebellum, and cortical regions. Associations between altered ReHo metrics and clinical measures were evaluated with FDR correction for multiple comparisons.ResultsCompared with HCs, WD patients exhibited widespread ReHo abnormalities involving the basal ganglia (putamen and globus pallidus), thalamus, cerebellum, and cortical regions. Static ReHo in the left putamen and globus pallidus was positively associated with anxiety severity, while right putaminal ReHo was negatively associated with neurological severity and positively associated with disease duration. Dynamic ReHo in the left middle frontal gyrus showed negative associations with depression severity and disease duration. All brain–behavior correlations survived FDR correction, indicating robust effects.ConclusionWD is characterized by disrupted spatiotemporal organization of local functional synchronization within cerebellar and basal ganglia–thalamo–cortical circuits. These findings support a network-level dysfunction model involving subcortical synchronization deficits and cortical temporal instability, which together underpin neuropsychiatric manifestations and disease progression.