Popular Online Content as a Treatment-as-Usual Control in Digital Mental Health Intervention Trials: Secondary Analysis of Two Online Randomized Controlled Trials With Repeated Measures

Background: Treatment-as-usual (TAU) conditions are intended to reflect the support typically received in routine treatment settings. For digital mental health interventions (DMHIs) delivered online, TAU conditions should reflect the usual patterns of online help-seeking. The lack of ecologically valid TAU control conditions has been a gap in effectiveness trials of online DMHIs. In this study, mental health–related popular online content (eg, advice TikToks, lived experience vlogs, and self-care infographics) was examined as a valuable TAU control condition. Objective: This study examined the feasibility of popular online content as a TAU control condition in DMHI trials. Methods: This study was a secondary analysis of two randomized controlled trials. Both trials recruited participants online, primarily via an online study recruitment platform. In study 1 (N=916), US adults with elevated depression or anxiety were randomized to either (1) complete a single-session DHMI for depression and anxiety (n=291), (2) search the web for popular online content relevant to their struggles (n=312), or (3) search a curated library of mental health–related popular online content (n=313). In study 2 (N=431), US adults with elevated loneliness were randomized to (1) complete a single-session DHMI for loneliness (n=136), (2) search a curated library of popular online content related to loneliness (n=145), or (3) complete an attention-matched control condition (n=150). All 6 programs took approximately 10 to 20 minutes to complete and were entirely self-guided. Participants rated each program’s credibility and expected benefit, as well as their feelings of distress (study 1) and loneliness (study 2). The studies did not involve interaction between participants and the research team. Results: In study 1, dropout during the treatment was 4.8% (14/291) for the single-session intervention, 25.9% (81/312) for online help-seeking, and 9.6% (30/313) for the curated library. The curated library’s credibility and expected benefit score did not differ from that of the single-session intervention (Cohen =0.08; =.88) and was higher than that of unguided help-seeking (Cohen =0.23; =.01). In study 2, dropout was higher in the curated library condition (7/145, 4.8%) than in the single-session intervention and the attention-matched control condition (0/136, 0.0% and 0/150, 0.0%). The mean credibility and expected benefit score for the curated library was comparable to that of the attention-matched control condition (Cohen =0.00; >.99) but lower than that of the single-session intervention (Cohen =0.32; =.02). Changes in distress and loneliness from baseline to 8-week follow-up did not differ across the conditions in study 1. All effect sizes were small in study 1 (Cohen <0.15 and no comparisons were statistically significant >.06). Similarly, in study 2, all effect sizes were small (Cohen <0.12), and no comparisons were statistically significant (>.25). Conclusions: Curated libraries of popular online content are a feasible, ecologically valid TAU benchmark for effectiveness trials of online DMHIs. Future research on TAU conditions in online help-seeking contexts should better align with observed DMHI attrition rates and account for the increasingly central role of conversational artificial intelligence in online mental health support. Trial Registration: OSF Registries 3DYMA; https://osf.io/3dyma and NVD79; https://osf.io/nvd79; ClinicalTrials.gov NCT05687162; https://clinicaltrials.gov/study/NCT05687162

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.

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<![CDATA[Data suggest PBFT02 therapy boosts progranulin and slows neurodegeneration markers in early FTD.]]>

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.

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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.

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Lilly to Acquire Kelonia for Up to $7B, Expanding Cancer Cell Therapy Pipeline

Eli Lilly has agreed to acquire Kelonia Therapeutics for up to $7 billion, the companies said today, in a deal that would bolster the buyer’s oncology pipeline with an early clinical phase lentiviral in vivo chimeric antigen receptor T-cell (CAR T) therapy under study in relapsed/refractory multiple myeloma.

Kelonia’s lead program KLN-1010 is a one-time intravenous gene therapy designed to generate anti-B-cell maturation antigen (BCMA) CAR T cells, targeting the BCMA protein expressed on the surface of multiple myeloma cells.

In December at the American Society of Hematology (ASH) 2025 Annual Meeting, Kelonia presented positive early clinical data for KLN-1010 from the Phase I inMMyCARTM trial (NCT07075185). The data showed the CAR T therapy to have 100% minimal residual disease (MRD)-negative response rate across four patients, all of whom remained in response through the longest follow up of five months.

Those and other results, according to the company, provided initial clinical validation of KLN-1010 and demonstrated promising tolerability. In January, Kelonia won FDA clearance for an investigational new drug (IND) application for KLN-1010, enabling the trial to expand from Australia into multiple clinical sites across the United States.

“The early clinical data for KLN-1010 are highly encouraging, both as a potential step forward for patients with multiple myeloma and as proof of concept for Kelonia’s platform,” Jacob Van Naarden, executive vice president and president of Lilly Oncology and head of corporate business development, said in a statement.

Investors appeared more sanguine about the Kelonia acquisition as Lilly shares were all but flat in early Monday trading as of 11 a.m. ET, to $927.16 from Friday’s close of $927.03. Kelonia is privately held.

KLN-1010 applies the company’s in vivo gene placement system (iGPS®), which uses engineered lentiviral-based particles designed to efficiently and selectively enter T-cells inside the body, enabling a patient’s own body to generate CAR T therapies designed to treat underlying disease.

Lilly and Kelonia reason that KLN-1010 could transform treatment of multiple myeloma by eliminating challenges associated with both ex vivo patient-specific cell therapy manufacturing, and pre-administration chemotherapy.

“Autologous CAR T therapies have meaningfully improved outcomes for patients with various cancers, but significant manufacturing, safety, and access barriers mean that only a fraction of eligible patients actually receive them,” Van Naarden added. “Kelonia’s in vivo platform has the potential to change that by delivering rapid, durable responses in a far simpler, off-the-shelf format.”

Kelonia marks Eli Lilly’s fourth announced acquisition of a smaller biotech this year:

Behind the deals

Behind all the deals is the pharma giant’s desire to capitalize on the billions of dollars it is generating from sales of its obesity and diabetes drugs based on glucagon-like peptide 1 (GLP-1) receptor analysts alone or in tandem with a glucose-dependent insulinotropic polypeptide (GIP). Lilly markets tirzepatide, a GLP-1/GIP dual agonist, in obesity as Zepbound® ($13.542 billion in 2025 sales) and in diabetes as Mounjaro® ($22.965 billion).

Lilly stands to generate even more in obesity-related sales in coming years once it brings to market its oral obesity drug Foundayo™ (orforglipron), a small molecule GLP-1 receptor agonist—though analysts predict the drug’s 2026 sales will likely be lower than once expected because of the price war Foundayo faces competing head to head with Lilly’s arch-rival in obesity drugs, Novo Nordisk. In December, Novo Nordisk got a jump on Lilly when the Danish biotech giant won FDA approval for oral Wegovy® (semaglutide), a once-daily 25 mg GLP-1 receptor agonist tablet indicated for chronic weight management.

A Lilly buyout of Kelonia could compel Johnson & Johnson to take a closer look at acquiring Legend Biotech, Kostas Biliouris, PhD, a managing director on the biotechnology research team of Oppenheimer, wrote Sunday in a research note. He cited the fact J&J’s Janssen Biotech successfully partnered with Legend to develop Carvykti® (ciltacabtagene autoleucel), a B-cell maturation antigen (BCMA)-directed CAR T-cell therapy indicated for adults with relapsed or refractory multiple myeloma who have received at least one prior line of therapy. Carvykti generated $1.877 billion in sales last year, up nearly double (96%) from $963 million in 2024.

Also, Biliouris cited the presence in Legend’s pipeline of LUCAR-G39D, a clinical in vivo CAR T program designed to treat B-cell non-Hodgkin’s lymphoma by targeting CD19xCD20. LUCAR-G39D showed positive first-in-human safety and efficacy data from a Phase I trial (NCT06395870) at ASH last December.

“We believe in vivo CAR T technology has strong potential, as treatment process is fast and circumvents the need for lymphodepletion, but think it will likely take ~6-8years before safety/durability questions are addressed, and regulatory approval is granted,” Biliouris predicted.

Lilly has agreed to acquire Kelonia for $3.25 billion upfront plus up to $3.75 billion in future payments tied to achieving specified clinical, regulatory, and commercial milestones. The acquisition deal is subject to regulatory approvals and other customary closing conditions, and is expected to close in the second half of 2026.

Upon closing, Lilly said, it will determine how to account for the transaction in accordance with Generally Accepted Accounting Principles (GAAP), then reflect the deal in future financial results and financial guidance.

“Kelonia’s leadership in advancing the immense promise of in vivo cell therapy is unmatched, extending its reach and impact beyond the traditional boundaries of personalized medicine,” Kelonia CEO Kevin Friedman, PhD, stated. “We have demonstrated the ability to achieve deep multiple myeloma remissions with significantly reduced complexity and cost relative to ex vivo CAR T-cell approaches.”

“In combination with Lilly’s strengths, our in vivo iGPS platform is positioned to broaden the reach of cell therapy beyond the current CAR T landscape in hematologic malignancies and to transform treatment across a far wider range of cancers and other serious diseases,” Friedman added.

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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.”

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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.

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AACR 2026: Cancers of Unknown Primary Identified by DNA Methylation AI Model

SAN DIEGO – Researchers from Kindai University in Japan have developed a machine learning model that accurately predicts the origin of diverse cancer types in patients with cancers of unknown primary (CUP) by analyzing CpG-based DNA methylation. Results showed that the model correctly identified the cancer type in about 95% of cases in the test cohort, and achieved 87% accuracy when applied to an independent validation cohort from 31 cases representing 17 different cancer types. The work was presented at the American Association for Cancer Research (AACR) Annual Meeting.  

“Our findings suggest that DNA-based approaches can help identify where a cancer may have started, even when the original tumor is not visible,” said Marco A. De Velasco, PhD, a faculty member in the department of genome biology at Kindai University in Japan.  

CUP are metastatic malignancies in which the primary cancer site could not be identified. These cancers are often associated with poorer outcomes, as patients are typically treated with broad, nonspecific chemotherapy regimens rather than therapies targeted to a specific cancer type. 

Approximately only 15-20% of patients with CUP show features that allow site-specific therapies. Patients receiving site-directed therapy can survive up to 24 months, compared with six to nine months for those receiving standard treatment. 

Patterns in tumor biology, such as gene activity or chemical modifications to DNA, can differ between cancer types and persist even after the cancer has spread and guide development of these therapies. While some methods have shown promise, they have yet to demonstrate clear survival benefits in clinical trials. 

The model was developed using methylation data from nearly 7,500 patients with 21 different cancer types obtained from The Cancer Genome Atlas Program and other public datasets. Using machine learning, the researchers identified CpG methylation and built methylation profiles that were associated with different tumor types. 

Del Velasco emphasized that the study achieved high accuracy in predicting the origin of diverse cancer types using a small subset of DNA markers, about 1,000 CpG regions selected from hundreds of thousands across the genome. “This is important because it shows that we can simplify complex molecular data while still maintaining strong predictive performance,” he said. 

As a limitation, the model was developed using cancers with known origins, rather than true CUP. Testing in CUP patients is important to understand how well the model performs in clinical settings. Additionally, not all tumors are easily accessible for genetic testing, particularly tumors in advanced stage. Looking ahead, the authors aim to adapt and evaluate the model using blood-based biopsy to analyze circulating tumor DNA instead of relying on DNA from tissue samples. 

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