Method Identifies Cellular Makeup of Microenvironments Favoring Tumor Metastasis

Researchers at Baylor College of Medicine and collaborating institutions have developed a method that reveals the cellular makeup of tissues that support metastatic cancer growth, which is the primary cause of death for most patients with solid tumors. The technique, sortase A-based microenvironment niche tagging (SAMENT), is designed to selectively label cells encountered by cancer cells during metastasis. The team’s tests using SAMENT not only revealed cellular features shared by metastatic niches of multiple cancer models but also uncovered an unexpected driver of immune suppression in bone metastasis.

“As tumors progress, cancer cells leave the original site and spread or metastasize to other organs where they seed new tumors,” said Xiang Zhang, PhD, William T. Butler, MD, Endowed Chair for Distinguished Faculty, professor of molecular and cellular biology, and director of the Lester and Sue Smith Breast Center at Baylor. “Our lab is interested in better understanding what cellular and molecular features support metastasis as these could guide the development of therapies to prevent, slow down, or eliminate them. In the current study, we first developed a new method to identify the makeup of metastatic niches.”

Zhang, also a member of Baylor’s Dan L Duncan Comprehensive Cancer Center, is senior and corresponding author of the team’s published paper in Cell, titled “Unbiased niche labeling maps immune-excluded niche in bone metastasis.”

During metastasis, cancer cells interact constantly with other normal cells in the body, and these interactions affect cell behavior, fate, and even response to therapies. “Numerous previous studies have elucidated the roles of specific microenvironment niches (i.e., cells that are immediately adjacent to cancer cells) in the progression of metastasis,” the authors wrote.

For their newly reported study the team developed the SAMENT technology. “Our method allowed us to identify specific cells encountered by cancer cells during metastasis,” said co-first author Fengshuo Liu, graduate student in the Cancer and Cell Biology Program working in the Zhang lab. “The method, called Sortase A–Based Microenvironment Niche Tagging (SAMENT), selectively labels normal cells that come into direct contact with cancer cells.”

The authors further explained, “By combining SrtA and synthetic ligand-receptor binding, we aim to label any cells that are physically encountered by cancer cells.”

The investigators’ tests using SAMENT revealed that pro-metastatic microenvironments of multiple cancer models in all the organs studied, including bone, lung, liver, and brain, shared common features, including an abundance of macrophage immune cells and shortage or absence of immune T cells, which typically help fight tumors. “Among all cell types, macrophages occur most frequently surrounding disseminated cancer cells and appear to be phenotypically re-programmed upon interaction with metastases,” they wrote.

Liu added, “However, bone metastases stood out. We were surprised to find that macrophages surrounding cancer cells in bone metastases activated a protein called estrogen receptor alpha (ERα). This protein is best known for its role in hormone-responsive breast cancer but is much less studied in macrophages or other immune cells.” The team added, “It also plays an important role in many other cell types, including macrophages, T cells, osteoblasts, and osteoclasts.”

The study showed that macrophages with active ERα signaling were not detected in normal bone or in primary tumors in other tissues. ERα-active macrophages were also present in human bone metastasis samples from patients with breast, lung and kidney cancers—including male patients. This showed that this finding is not limited to one cancer type or to women.

The researchers also investigated how cancer cells turned macrophages, which would typically fight cancer, into their allies. Cancer cells deliver small molecules called fatty acids (FAs) to macrophages, likely through tiny particles known as extracellular vesicles (EVs). These fatty acids activate a metabolic pathway in macrophages that turns on ERα signaling. “Taken together, our data indicate that ERα expression in macrophages is driven by cancer cell-derived FAs through paracrine interaction mediated by EVs,” they wrote.

Once ERα is active, macrophages become immunosuppressive—instead of helping the immune system attack cancer, they form a barrier that physically and chemically blocks T cells from reaching tumor cells. ERα-active macrophages act as bodyguards for metastatic cancer in bone.

“To test whether ERα in macrophages can drive bone metastasis, we genetically removed the ERα gene specifically from macrophages in mice,” Liu continued. “As a result, cancer cells were far less able to colonize bone in multiple cancer models. Tumors grew more slowly, and metastases in other organs that often arise from bone tumors were also reduced. Importantly, removing ERα from macrophages did not disrupt normal bone health—bone structure and remodeling remained intact.” In their paper the scientists stated, “Taken together, our results strongly support the hypothesis that ERα in macrophages plays an important role in bone colonization.”

“When macrophage ERα was genetically removed or when mice were treated with fulvestrant, an FDA-approved cancer drug that degrades estrogen receptors, T cells were able to enter metastatic lesions in bone and kill tumor cells,” Zhang said. “Our findings support conducting future human clinical trials to assess the value of estrogen-blocking therapies combined with other therapies to treat bone metastases across multiple cancer types, in both women and men.”

The authors added, “Furthermore, as shown in the final set of experiments, inhibition of ERα in macrophages may not be effective by itself but could synergize with immunotherapies because it facilitates T cell infiltration into static lesions.” The team acknowledged that they didn’t see any synergy between Erαknockout in macrophages and anti-PD1 treatment. However, they noted, “… it is still worth exploring the combinatory effects with other immunotherapies. Therefore, our findings may warrant future clinical trials on combined endocrine and immunotherapies on patients with bone metastases, and this combination may be extended to other cancer types and to patients of both genders.”

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Face Photos Offer Window on Cancer Survival

An artificial intelligence tool could identify patients at increased risk of death after cancer treatment from their faces, research findings suggest.

The FaceAge algorithm captures dynamic changes in facial aging from photographs, offering a visible manifestation of the complex interplay between aging, cancer, and survival.

Patients with faces that aged rapidly between radiotherapy treatments according to the tool had a decreased chance of survival, according to the study in Nature Communications.

FaceAge assessments could therefore offer a dynamic, simple, accessible and non-invasive biomarker for cancer prognosis, which could be used to stratify risk and tailor treatment planning in oncology.

“Our study suggests that measuring FaceAge over time may refine personalized treatment planning, improve patient counseling, and help guide the frequency and intensity of follow-up in oncology,” said researcher Raymond Mak, PhD, from Mass General Brigham Cancer Institute.

Facial aging involves alterations in skin texture, loss of volume, and changes in bone structure and advances in deep learning have enabled age to be accurately estimated from visual biomarkers.

To investigate its prognostic value in cancer treatment, Mak and team developed the Face Aging Rate (FAR) biomarker.

This is calculated as the change in FaceAge between two time points divided by the time interval between the two facial photographs that were used, to provide a dynamic measure of aging over time.

A FAR value above one indicates accelerated aging that is faster than expected while a FAR value below one suggests decelerated aging.

The team tested the prognostic value of FAR in 2279 patients with different types of cancer, who underwent at least two courses of radiotherapy at Brigham and Women’s hospital between 2012 and 2023.

Face photographs taken in routine care during different radiotherapy courses at distinct timepoints were associated with survival, they reported. Specifically, a higher FAR is associated with an increased risk of death over different timeframes in stratified analyses.

For photos taken with a short interval in between, of 10 to 365 days, the adjusted hazard ratio (aHR) was 1.25, while for those with a long interval of between 731 and 1460 days, the aHR was 1.65.

The aHR was not statistically significant for the mid interval of photos taken 366 to 730 days apart.

“The association between accelerated facial aging and increased mortality risk may reflect deeper systemic biological processes, such as cellular senescence, DNA damage, and reduced tissue repair; all of which are hallmarks of both aging and cancer progression,“ the authors noted.

They added: “As research progresses, FAR has the potential to become an integral component of comprehensive cancer care and a tool to monitor changes in health more broadly, embodying the future of personalized medicine where serial facial photographs can provide profound prognostic insights.”

The post Face Photos Offer Window on Cancer Survival appeared first on Inside Precision Medicine.

Opinion: Healthcare or health care? Help STAT decide

The Associated Press Stylebook, the foundational journalism guide for how newsrooms report and write their stories, made waves last week when it decreed that “health care” should now be written as one word, not two. The change, announced at the annual ACES: The Society for Editing’s conference, was prompted by shifting usage and years of appeals to make the switch.

STAT closely follows AP style and has used “health care” since its founding in 2015. Now, we have to decide whether to adopt this new guidance, but our newsroom is divided. 

Read the rest…

Restoring Engagement in Digital Self-Control Tools Using Nudge Reconfiguration Prompts: Quasi-Experimental Study

Background: Digital self-control tools (DSCTs) have emerged as technological interventions to address excessive smartphone usage and promote digital well-being. However, these tools face persistent challenges with user attrition and sustained engagement, compromising their long-term effectiveness. Current literature lacks an understanding of how observable behavioral indicators, as opposed to self-reported measures, are associated with user engagement and readiness to change in DSCTs. Objective: This study addresses three research questions (RQs): (RQ1) whether prompting passive DSCT users to reconfigure nudges increases subsequent user-nudge interaction, (RQ2) how engagement evolves over time and what behavioral divergence emerges between accepting and rejecting users, and (RQ3) whether observable in-app behavioral indicators are more strongly associated with intervention acceptance than traditional self-reported measures. Methods: We conducted a quasi-experimental study (N=252) targeting users who had disabled nudges. Participants were randomly assigned to receive a prompt to reconfigure their nudge settings during daily check-ins (n=138, experimental group) or to a control condition (n=114, no intervention). The experimental group was further classified into acceptance and rejection subgroups based on their response to the intervention. Data collection included DSCT configuration logs, usage-triggered nudge logs, and self-reported questionnaire responses. We analyzed user-nudge interaction ratios using difference-in-differences with permutation tests (RQ1) and nudge configuration parameters and manual app blocking using independent-samples tests with Cohen (RQ2) and compared behavioral indicators against self-reported measures using tests and chi-square tests (RQ3). Results: Of the experimental participants, 46% (63/138) accepted the nudge reconfiguration prompt. Post intervention, the acceptance subgroup’s 7-day average user-nudge interaction ratio increased from 29.7% to 58.5% (peak of 65% on day 1), a significant increase even after controlling for the temporal decline observed in the control group (difference-in-differences=+36.3 percentage points, <.001). The rejection subgroup’s decline was not significantly different from the control group’s decline (=.82). The acceptance subgroup showed preexisting behavioral indicators of higher readiness to change, including 21.53% shorter consecutive usage thresholds (=.03) compared to the rejection subgroup, with a directionally consistent but nonsignificant difference in cooldown length (+20.56%). Behavioral divergence in consecutive usage thresholds widened post intervention, with Cohen increasing from −0.47 to −0.67 (=.002). Acceptance subgroup participants demonstrated a significantly lower tendency to select leisure-oriented daily goals (15.6% vs 26.2%; chi-square =.001, Cramer =0.13). Self-reported measures of screen time goals and scrolling regret were not significantly associated with intervention acceptance (>.10). Conclusions: Observable in-app behavioral indicators, rather than self-reported measures, effectively differentiate intervention receptiveness. Study results suggest that effective DSCT design should incorporate adaptive strategies that recognize and respond to users’ readiness to change, as evidenced by their in-app behaviors, while preserving autonomy. Such systems are likely to outperform static interventions or designs that rely solely on self-reported preferences.

Opinion: FDA commissioner: ‘Smarter,’ real-time clinical trials could transform drug development

Why does it take a new drug 10 years, on average, to come to market? Part of the reason lies in the dead time in the process.  

Historically, trials have required tedious tabulations and repeated application submissions between phases, which is why 45% of the time from a Phase 1 trial until final submission is spent without any ongoing clinical trial in progress — idle time in the system.   

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‘Type’ Casting: Flagship-Founded Serif Modifying DNA into New Therapy Class

What happens when the scalability and redosability of messenger RNA (mRNA) is combined with the durability and programmability of gene therapy?

According to Serif Biomedicines, a five-year-old startup that emerged from stealth mode this month, the result is “modified DNA,” a new class of therapeutics designed to be programmable, durable, scalable, and redosable—while minimizing the drawbacks of both mRNA and gene therapy.

Modified DNA builds upon generative protein and mRNA platforms created by Flagship Pioneering, the venture capital giant which founded Serif in 2021. On April 21, Flagship formally launched Serif with an initial commitment of $50 million in financing—capital that Serif intends to use toward developing its scalable platform for optimizing and manufacturing Modified DNA treatments, aided by artificial intelligence (AI), and advancing its first drug discovery programs.

“The reason we’re bringing the company out of stealth mode now is we think we have made progress. We’ve made real progress that we’re excited to share with the world, that we’re excited to get feedback from the broader scientific community on, and we want to tell that story more broadly,” Jacob (Jake) Rubens, PhD, Serif’s co-founder and CEO, and an Orig­i­na­tion Part­ner at Flag­ship Pio­neer­ing, told GEN.

“It’s been on our minds for a long time: What might be possible when DNA becomes an engineerable biotechnology for the first time?”

It’s a question pursued by numerous researchers and companies over the years as they sought to capitalize on DNA’s qualities of being a durably expressing molecule capable of coding for any gene, producing proteins or RNAs in a cell-specific way, as well as being scalable to manufacture and capable of re-dosing for patients.

“Those are, I think, the key differentiating attributes of theoretical DNA medicines. So the question for us became not, would this be valuable if we could do it, but why hasn’t anyone done it yet?” Rubens explained. “We’ve known about the centrality of DNA in biology, the central information molecule in DNA. We’ve known this for 75 years since Watson and Crick’s seminal discoveries around how the structure of DNA enabled it to function as an information molecule.”

Two key problems

Jacob (Jake) Rubens, PhD, Serif Biomedicines co-founder and CEO

“And when we looked at this space,” he continued, “we saw that there were two key problems: The first is that DNA is a highly inflammatory molecule. The second is that DNA needs to be delivered not just into a cell, but into the nucleus, the center of the cell.”

To create Mod­i­fied DNA, Serif alters the struc­tur­al and chem­i­cal form of DNA in order to min­i­mize innate immuno­genic­i­ty as lipid nanoparticles drop off the DNA not in the nucleus, but in the cytoplasm of the cell.

Once inside the cell nucleus, Mod­i­fied DNA reverts to unmod­i­fied DNA, enabling tran­scrip­tion into ther­a­peu­tic RNA and proteins. The resulting treatments are designed to last longer, be giv­en more than once, and be pro­grammed for cell-spe­cif­ic expres­sion. To enhance durability, Serif delivers with its Mod­i­fied DNA proteins which help the DNA access the nucleus. The proteins, called mRNA co-fac­tors, are designed to tran­sient­ly express pro­teins that enhance entry into the nucleus and gene expression.

Pending an announcement it expects to make later this year, Serif isn’t revealing specifics of its initial drug discovery programs, except to say that they focus on rare diseases and immune programming.

“This is not meant to be a limited list of where we could go but the areas that we think we’re going to go first, which are likely in addressing protein deficiencies in genetic diseases,” Rubens said.

Modified DNA has shown itself to be disease agnostic, he added, reflecting DNA’s qualities as a general, programmable information molecule: “One of the reasons we’re so excited about, the future of modified DNA as a new biotechnology akin to RNA, akin to protein, is its centrality in biology. It is the fundamental information molecule inside of all of us, inside of every living thing on this planet. So that is really the existence proof that it is generalizable.”

Tolerability and sustained expression

Also later this year, Serif plans to present data at an as-yet-unspecified scientific conference that will show modified DNA’s tolerability in non-human primates, as well as sustained gene expression with therapeutic effects in preclinical models following intravenous (IV) administration.

Serif aims to transform Modified DNA into treatments as effectively and commercially successfully as Amgen, Genentech (now a member of the Roche Group), and later Regeneron did with engineered proteins, as Alnylam Pharmaceuticals did with small interfering RNA (siRNA), and as Moderna more recently accomplished with mRNA—most notably in developing its SpikeVax® COVID-19 vaccine, which the FDA authorized for emergency use in 2020 and fully approved in 2022.

Flagship launched Moderna in 2010; the company went public in 2018 by raising $604 million, the largest-ever U.S. biotech initial public offering (IPO) until Kailera Therapeutics raised $625 million earlier this month.

At Flagship, Rubens is a sci­en­tist entre­pre­neur who leads the firm’s Pio­neer­ing Busi­ness Unit, which establishes and grows com­pa­nies based on new biotechnology. In addition to Serif, Rubens co-founded Quo­tient Ther­a­peu­tics, which develops therapies based on its somatic genomics platform; Tessera Ther­a­peu­tics, which writes therapeutic messages into the genome through a genome engineering approach called GeneWriting™; and Sana Biotech­nol­o­gy, a developer of treatments based on engineered cells. He also launched Kalei­do Bio­sciences, a microbiome therapeutics company that ceased operations in 2022.

Before join­ing Flagship, Jake received his PhD in micro­bi­ol­o­gy from MIT, work­ing with Tim Lu, MD, PhD, a core member of the Synthetic Biology Center, through the sup­port of a Nation­al Sci­ence Foun­da­tion Grad­u­ate Research Fel­low­ship. At MIT, Jake helped enable ​“intel­li­gent” cell therapies by invent­ing gene cir­cuits that allow engi­neered cells to do nov­el ana­log, dig­i­tal, and hybrid com­pu­ta­tions.

Based in Cambridge, MA, Serif employs about 50 people and as of Wednesday was disclosing five open positions on its website in its three areas of focus: Chemistry (associate scientist and senior scientist, both specializing in LNP formulations), Molecular Biology (research associate and senior scientist), and Research/Discovery (scientist specializing in bioanalytical assays).

“I’m not at this point going to provide any guidance on how much more we will or won’t grow,” Rubens said. “We’re quite agile and responsive to the company’s needs.”

The post ‘Type’ Casting: Flagship-Founded Serif Modifying DNA into New Therapy Class appeared first on GEN – Genetic Engineering and Biotechnology News.

<![CDATA[AI video screening spots early tardive dyskinesia signs, prompting clinical follow-up and treatment.]]>

A Formative Evaluation of Parental Perceptions Related to Acceptability, Appropriateness, Feasibility, and Reported Use of an e-Learning Resource Targeting Diet in the First 1000 Days: Survey Study

Background: In October 2022, the Nutrition Now (NN) e-learning resource was implemented within Maternal and Child Healthcare centers and Early Childhood Education and Care centers of a southern Norwegian municipality. The e-learning resource targets expectant parents, parents of children aged 0‐2 years, and Early Childhood Education and Care staff, aiming to promote healthy dietary behaviors during the first 1000 days of life. Objective: This study aimed to explore parental perceptions related to the acceptability, appropriateness, feasibility, and reported use of the NN e-learning resource among parents. Methods: From October 2022 to May 2023, expecting parents and parents of children aged 0‐2 years were recruited from 2 Norwegian municipalities, one intervention group receiving access to the NN e-learning resource, and one control. Participants in the intervention group received a web-based follow-up questionnaire 7 months after gaining access to the NN e-learning resource. Data were analyzed using descriptive statistics. Results: Of the 179 participants in the NN study intervention group, 48 completed the web-based follow-up questionnaire administered 7 months after enrollment. Parents rated the e-learning resource positively on items assessing whether they liked and appreciated the resource, perceived it as an appropriate source of information, and found it doable and easy to use. Most respondents reported visiting the resource (38/48, 79%), although only 21% (10/48) reported frequent visits. Less than half of the participants answering the web-based follow-up questionnaire reported having watched the theme films (20/48, 42%), the recipe films (17/48, 35%), or making food using recipes provided in the e-learning resource (20/48, 42%). Conclusions: Parents rated the NN e-learning resource positively but reported limited use. These findings point to the need for strategies that enhance engagement with self-guided digital interventions among expectant parents and parents of young children. Future efforts should focus on identifying how to maximize potential adoption of the e-learning resource and evaluate its impact to promote healthy dietary behaviors during the first 1000 days of life. Trial Registration: ISRCTN Registry ISRCTN10694967; https://www.isrctn.com/ISRCTN10694967
<img src="https://jmir-production.s3.us-east-2.amazonaws.com/thumbs/98abe19712cd28091d5ceb7e2e7a51b9" />

<![CDATA[Read our exclusive interview with Daniel R. Karlin, MD, MA, on the latest executive order, DT120 for the treatment of mental health disorders, and more.]]>

Prostate Cancer Therapy Targets Disordered Region of Androgen Receptor

In a new study published in Nature Signal Transduction and Targeted Therapy titledDrugging the intrinsically disordered transactivation domain of androgen receptor,” researchers from the University of British Columbia and BC Cancer present a new approach for designing drugs that bind more strongly to intrinsically disordered proteins. These proteins play a central role in a wide range of diseases, including cancer, neurodegenerative disorders, heart disease and autoimmune conditions, and are extremely difficult to target due to their flexible nature.

Transactivation domains (TADs) of transcription factors are enriched in intrinsically disordered regions (IDRs) that lack a stable three-dimensional structure. The plasticity of an IDR permits dynamic conformations that regulate cellular and biological functions. 

The new study developed inhibitors that bound to the TADs of the androgen receptor, a therapeutic target for prostate cancer. While therapeutic interventions often target its folded ligand-binding domain (LBD), resistance ultimately develops due to reactivation of androgen receptor signaling. 

Inhibitors stabilized the protein in the inactive state to prevent the activation of genes that drive cancer growth. In animal studies, several compounds slowed prostate cancer growth more effectively than a commonly used prostate cancer treatment. Notably, several antigen receptor TAD inhibitors displayed strong binding affinities higher than, or were comparable to the LBD-inhibitor enzalutamide, with dissociation constants in the picomolar to low-nanomolar range 

“Most drug discovery is like designing a key for a very specific lock,” said Marianne Sadar, PhD, professor of pathology and laboratory medicine at the UBC faculty of medicine, distinguished scientist at BC Cancer, and co-corresponding author of the study. “But disordered proteins don’t behave like locks at all, they’re more like moving strands of spaghetti.”   

“This study shows that proteins previously thought to be undruggable can be drugged with remarkable efficacy,” she continued. “The findings could have profound implications for the treatment of cancer and other diseases, providing a roadmap for the development of new treatments.”   

“What surprised us was how effectively these molecules could attach to a protein that doesn’t have a fixed structure,” said Raymond Andersen, PhD, professor in UBC’s department of chemistry and co-corresponding author of the study. “We were able to shut down the androgen receptor even in situations where current prostate cancer drugs stop working.”   

The researchers now aim to advance the most promising candidates toward clinical trials, with the goal of developing prostate cancer drugs for early intervention and with fewer side-effects.  

“If the approach continues to prove successful, it could dramatically expand the number of proteins that scientists can target with medicines—turning what was once considered a dead end into a promising new frontier for drug discovery,” said Sadar. 

The post Prostate Cancer Therapy Targets Disordered Region of Androgen Receptor appeared first on GEN – Genetic Engineering and Biotechnology News.