STAT+: GSK advancing ovarian cancer drug mo-rez

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We’ve got some big news on Revolution Medicines’ pancreatic cancer treatment. But don’t miss GSK’s move to push an ovarian cancer ADC into five Phase 3 trials after striking early data. And Spyre Therapeutics released some competitive ulcerative colitis results. 

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STAT+: Allogene Therapeutics’ CAR-T treatment eliminates residual cancer cells in B-cell lymphoma patients

Allogene Therapeutics said Monday that its off-the-shelf CAR-T treatment eliminated residual cancer cells in patients with B-cell lymphoma three times better than standard care — achieving the interim goal of an ongoing Phase 3 clinical trial.

While still preliminary, the new data bolster Allogene’s efforts to develop an easily administered cell therapy that, for the first time, could delay or prevent the recurrence of cancer in patients with a high risk of lymphoma relapse at the end of first-line treatment.

In the interim analysis, 58% of patients treated with the Allogene CAR-T, called cema-cel, achieved minimal residual disease, or MRD, negativity compared to 16% of patients who were observed but not treated.

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STAT+: Spyre Therapeutics IBD drug shows promise in early trial

An inflammatory bowel disease treatment developed by Spyre Therapeutics succeeded in its first major test, setting the company up to compete with several large drugmakers developing new medicines for the chronic digestive condition. 

Spyre is currently running a Phase 2 trial testing three experimental ulcerative colitis drugs as standalone treatments and, eventually, as combination therapies. The company released the first batch of results Monday on one of the treatments, showing it was safe and met the primary goal of the study. 

The therapy, SPY001, targets the alpha 4 beta 7 inflammation pathway, one of the emerging avenues drugmakers are probing to reduce inflammation in the gut. In Spyre’s SKYLINE study, subjects taking SPY001 saw a 9.2 point decrease in a disease activity index. Approximately 40% of the trial subjects went into remission after 12 weeks of use. 

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Evaluating an Incentive-Based mHealth App for Physical Activity Promotion Using the Obesity-Related Behavioral Intervention Trial Model: Small Cohort Study

Background: Physical inactivity remains a public health concern, with 42% (around 1 in 2) of women and 34% (around 1 in 3) of men in the United Kingdom, for example, failing to meet moderate-to-vigorous physical activity guidelines. To promote physical activity (PA) at scale, smartphone-based mHealth (mobile health) software apps offer a promising solution. Objective: This study aims to evaluate the feasibility of implementing an mHealth app offering very small (“micro”) financial incentives for PA in Leeds, United Kingdom. Methods: A 5-week single-arm proof-of-concept study was conducted with rolling recruitment among Caterpillar Health app users between September 12 and December 12, 2022 (Obesity-Related Behavioral Intervention Trial model, phase IIa). Users earned microincentives in the form of “points,” redeemable for consumer rewards (eg, movie tickets and gym passes), for meeting personalized daily step goals (US $0.13 per goal achieved; set using data from a 5-day baseline) and completing educational quizzes (US $0.33 per quiz). Descriptive statistics assessed feasibility outcomes (ie, reach, recruitment, retention, engagement, and acceptability) and preliminary effectiveness. Paired-samples tests (<.05) examined changes in weekly mean daily step count (from baseline) and step goal achievement over 5 weeks. Results: Of 285 app downloads, 46 users consented to participate (recruitment rate: 16.1%). Participants (mean age: 39.9, SD 11.1 y; 71.1%, 33/46 woman) had a baseline step count of 5598 (SD 2664) steps/day. A total of 25 participants remained engaged (ie, completed at least 1 quiz) at study week 5 (retention rate: 54.3%). Acceptability was high, with 75% of respondents (12/16) indicating they would recommend the app. Weekly mean daily step count did not significantly increase from baseline (mean difference 317, SD 2273, =.53). Weekly daily step goal achievement rate (%) decreased from study week 1 to 5 (−23.23, SD 22.85, =.02). Conclusions: Despite lower-than-expected recruitment and no statistically significant PA increase, relatively high engagement and acceptability suggest future pilot testing (Obesity-Related Behavioral Intervention Trial model, phase IIb) of a refined intervention (eg, wider selection of loyalty reward partners) and modified study protocol (eg, simplified consent process) is warranted. Trial Registration: ClinicalTrials.gov NCT05294692; https://clinicaltrials.gov/study/NCT05294692

Effect of transcranial magnetic stimulation on prognosis in patients with postherpetic neuralgia and comorbid depression undergoing interventional neuromodulation therapy: protocol for a randomized double-blind placebo-controlled trial

BackgroundPostherpetic neuralgia (PHN) is often accompanied by depression, creating a vicious cycle that exacerbates symptoms and contributes to suboptimal treatment outcomes, even with interventional therapies. Repetitive transcranial magnetic stimulation (rTMS) has demonstrated potential in alleviating both pain and mood disturbances. However, its efficacy in enhancing prognosis when used alongside interventional neuromodulation therapy for PHN accompanied by depression remains inadequately explored and requires further investigation.ObjectiveThis study aims to generate preliminary evidence on the efficacy and safety of rTMS in enhancing prognosis and alleviating pain in patients with PHN and mild to moderate depression undergoing interventional neuromodulation therapy.MethodsThis study is a single-center, randomized, double-blind, placebo-controlled trial involving 174 adult patients with PHN. Participants will be randomly assigned, stratified by interventional neuromodulation therapy, to either the rTMS group (n=87) or the control group (n=87). Both groups will undergo either 10 Hz rTMS or sham stimulation for five consecutive days. The primary outcome is the incidence of poor prognosis at 3 months post-discharge. Secondary outcomes include the incidence of poor prognosis at 6 months post-discharge; Visual Analog Scale (VAS) sleep scores; short-form McGill Pain Questionnaire (SF-MPQ) scores; Self-Rating Depression Scale (SDS) scores; patient satisfaction; Pain Disability Index (PDI) scores; Multidimensional Fatigue Inventory-20 (MFI-20) scores; pregabalin oral doses; and the need for tramadol or antidepressants. Safety outcomes will include assessments of headache, pain at the stimulation site, neck pain, insomnia, muscle soreness, dizziness, nausea, tinnitus, irritability, tachycardia (heart rate > 100 bpm), and epilepsy. Data will be analyzed using a modified intention-to-treat approach.DiscussionThis study aims to provide preliminary evidence on the efficacy and safety of 10 Hz rTMS in improving prognosis and alleviating pain in PHN patients with mild to moderate depression undergoing interventional pain management.Trial registrationhttps://www.chictr.org.cn/bin/project/edit?pid=261070, identifier ChiCTR2500096978.

Life Biosciences Raises $80M to Fund First Trial of Anti-Aging Gene Therapy  

Life Biosciences has announced an $80 million Series D round, which will fund the completion of a recently started Phase I clinical trial of a gene therapy designed to restore old, damaged cells to a younger, healthier state. 

The Boston-based biotechnology company was co-founded in 2017 by David A. Sinclair, PhD, professor of genetics at Harvard Medical School and founding director of the Paul F. Glenn Laboratories for the Biological Mechanisms of Aging. Sinclair is known internationally as a leading researcher on human aging and longevity, especially for his work on epigenetic changes as drivers of aging and using reprogramming factors to reset the age of cells and tissues. 

The oversubscribed round will support company operations into the second half of 2027, including the conclusion of a Phase I trial launched earlier this year to assess the safety and tolerability of Life Biosciences’ lead program, ER-100. The funds will also go towards exploring new candidates and advancing the company’s broader pipeline of therapeutics for age-related diseases. 

Aging is the main driver and risk factor for most chronic diseases, with over 75% of people over 65 being estimated to suffer from at least one chronic condition. As the world population continues to age, Life Biosciences aims to delay aging processes by rejuvenating cells and restoring their function across many age-related diseases.  

The company’s Partial Epigenetic Reprogramming (PER) platform is designed to partially reprogram the epigenome of old and injured cells through the expression of three Yamanaka factors: OCT4, SOX2, and KLF4 (together known as OSK). These transcription factors have been shown to reset organ-specific epigenetic code without creating induced-pluripotent stem cells, addressing the effects of aging without the risk of fully differentiating cells or inducing the formation of tumors.

This strategy has the potential to address a wide range of age-related diseases across multiple organs and systems within the human body. Life Biosciences’ Phase I clinical trial, which is currently actively recruiting, will assess the safety and tolerability of ER-100 in patients with open-angle glaucoma (OAG) and non-arteritic anterior ischemic optic neuropathy (NAION). The trial will also assess early efficacy endpoints, including multiple measurements of visual function. 

Optic neuropathies like OAG and NAION are driven by damage to retinal ganglion cells, neurons that send sensory signals from the eye to the brain. These cells cannot naturally regenerate, meaning patients suffer permanent vision impairment. Unlike current treatments, which are unable to address the underlying mechanisms of neuronal degeneration, ER-100 aims to directly protect and promote the regeneration of RGC to preserve and restore sight in these patients.  

Jerry McLaughlin, chief executive officer of Life Biosciences, stated that the financing “reflects the growing interest in our platform and the opportunity we have to reverse multiple diseases of aging.”

He added: “This support enables us to advance our lead program, ER-100, through key clinical milestones while continuing the expansion of our pipeline, positioning Life Biosciences to deliver disease-modifying solutions for patients.” 

The post Life Biosciences Raises $80M to Fund First Trial of Anti-Aging Gene Therapy   appeared first on Inside Precision Medicine.

Prefrontal and hippocampal microstructural gray matter following cognitive training under moderate hypoxia in mood disorders: a randomized controlled trial

BackgroundCognitive impairment persists during partial or full remission in 50–70% of individuals with mood disorders and impacts daily functioning and clinical prognosis. Preclinical evidence suggests that extended exposure to moderate hypoxia, combined with motor-cognitive learning, may elevate neuroplasticity and improve cognition. In these individuals with remitted mood disorders, we found that cognitive training under repeated moderate normobaric hypoxia improved executive function, and here investigate neurobiological mechanisms.MethodsParticipants with major depressive disorder (MDD) or bipolar disorder (BD) in partial or full remission were randomized to 3 weeks of 3.5-h daily normobaric hypoxia (12% O2) combined with cognitive training five to 6 days per week or treatment-as-usual (TAU). Participants were assessed with cognitive tests and diffusion-weighted MRI at baseline and 1 month after treatment completion (week 8) as part of the ALTIBRAIN trial (ClinicalTrials.gov: NCT06121206). Prefrontal and hippocampal gray matter microstructure were modelled with Neurite Orientation Dispersion and Density Imaging (NODDI).ResultsFifty-seven participants (mean age 39 years, SD: 13, 70% female) with baseline MRI data were included. No significant effects of hypoxia-cognition training vs. TAU on neurite density index (NDI) or orientation dispersion index (ODI) were observed in either the prefrontal cortex or hippocampus (all p-FDR ≥ 0.832). No significant associations were observed between microstructural changes and changes in cognitive function in either region (all p-FDR ≥ 0.721). At baseline, microstructure in both regions was not associated with executive function or global cognition (all p > 0.40).ConclusionThe absence of detectable microstructural changes, despite selective improvements in executive function, indicates that NODDI-derived metrics did not capture structural correlates of the cognitive response to hypoxia-cognition training. Whether this reflects functional neural mechanisms, measurement insensitivity, or the timing of the single follow-up assessment remains to be determined. Future studies should incorporate multiple imaging time points to capture the dynamic trajectories of putative microstructural brain changes.

Evaluation of a Parent Multimedia and Mobile-Based Intervention to Promote Pediatric Oral Health (BeReadyToSmile): Single-Group Pre-Post Feasibility Study

Background: The universal adoption of mobile technologies by households has created an opportunity to provide families with young children with access to high-quality oral health information at convenient times and locations. Using community agencies (eg, Head Start and public health programs) that offer parenting education is an effective approach to reaching families in low-income households. Objective: This study aimed to explore the extent to which a coordinated, in-person oral health prevention intervention, together with an accompanying smartphone app, BeReadyToSmile, is feasible to implement among caregivers of young children. Methods: The BeReadyToSmile program targeted parents of children aged 0 to 6 years attending parenting education classes. This study was designed as a single-group pre-post feasibility study that included quantitative surveys and open-ended feedback. A total of 30 parents attended an in-person session on child oral health and were invited to use the BeReadyToSmile smartphone app. Preintervention and postintervention surveys were administered to assess pediatric oral health knowledge, attitudes toward child toothbrushing, brushing intention, brushing efficacy, program satisfaction, and ease of use. Results: Significant effects were observed on parent-reported pediatric oral health knowledge, attitudes toward brushing, brushing intention, and toothbrushing efficacy. Out of the 30 parents invited to use the BeReadyToSmile app, 1 (3%) completed no sessions and 20 (67%) completed all sessions. Participants rated the app highly on measures of satisfaction and use. We found significant increases in pediatric oral health knowledge (.004), child brushing attitudes and intention (=.01), and parental efficacy regarding child toothbrushing (=.03). Conclusions: Caregivers reported positive experiences with the implementation of BeReadyToSmile, indicating the overall feasibility of delivering oral health prevention to households with young children both in person and through a facilitated smartphone app. Further studies should include a larger and more diverse sample, randomized comparison conditions, and a longer follow-up period to assess outcomes. Trial Registration: ClinicalTrials.gov NCT03637309;
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A Gamified Pain Management Intervention for Adults With Chronic Pain in Mainland China: Single-Arm Pre-Post Pilot Study With Machine Learning Predictive Modeling

Background: The widespread prevalence of chronic pain (CP) significantly impacts daily functioning worldwide. In mainland China, maintaining engagement in biopsychosocial interventions remains challenging. Gamification, designed based on self-determination theory, can enhance motivation, while machine learning (ML) algorithms can assist clinicians in dynamically optimizing pain management. Objective: This study aimed to (1) evaluate the preliminary effectiveness of a gamified pain management (GPM) program on CP and psychological outcomes and (2) identify key factors of significant pain improvements through the application of ML to guide intervention adjustments. Methods: A single-arm, pre-post study was conducted with 16 participants with CP in mainland China, recruited via social media using convenience sampling. Participants engaged in a 10-week web-based GPM intervention consisting of education, physical activities, and gamified elements, including points, avatars, and feedback. Primary outcomes were pain intensity and interference measured by the Brief Pain Inventory. Secondary outcomes included anxiety, depression, and quality of life. Analysis included paired tests, and ML models were trained to predict clinically meaningful pain reductions. Shapley additive explanations, least absolute shrinkage and selection operator regression, association rule mining, and Kaplan-Meier survival analysis were used to identify key predictors and optimal sessions and intervention durations across subgroups. Results: A total of 16 participants were engaged, with a mean age of 27.63 (SD 9.584) years. Results from paired tests reported significant improvements in pain intensity (decreased by 27.3%, 95% CI 1.061 to 3.064; =.001), pain interference (decreased by 27.3%, 95% CI 8.159-17.216; <.001), and psychological distress, including anxiety (=3.538, 95% CI 0.969 to 3.906; =.003) and depression (=4.559, 95% CI 2.230 to 6.145; <.001). The gradient boosting model demonstrated the highest predictive accuracy (area under the curve=0.89 and accuracy=0.82). Least absolute shrinkage and selection operator regression identified session 3 (β=−0.45, 95% CI −0.68 to −0.22; <.001) and session 5 (β=−0.32, 95% CI −0.59 to −0.05; =.02) as most predictive of clinical success, while association rule mining revealed effective session combinations for different patient subgroups. Time-to-event analyses indicated that individuals with low back pain and higher baseline severity required longer intervention durations for improvement (5 wk; =.03). Conclusions: This pilot study presents an innovative method that combines ML with dynamic engagement data from a GPM program during interventions, rather than relying on static baseline data in prior studies. The results show preliminary efficacy and identify specific optimal session combinations and personalized treatment durations for different pain subgroups. These exploratory findings contribute to the field by providing a data-driven method for adaptive, personalized digital health interventions that move beyond one-size-fits-all strategies, potentially enabling clinicians to modify content and dosage to improve engagement and outcomes if validated in larger sample trials. Trial Registration: Chinese Clinical Trial Registry ChiCTR2400094247; https://www.chictr.org.cn/showprojEN.html?proj=245138