STAT+: A pancreatic cancer expert on why Revolution Medicines’ study could ‘open up a new era’ of treatment

Revolution Medicines announced a stunning survival benefit for its experimental drug in a Phase 3 pancreatic cancer study this week. 

Patients with advanced pancreatic adenocarcinoma who were treated with the company’s daily pill called daraxonrasib lived a median of 13.2 months compared to 6.7 months for patients who received standard chemotherapy. 

Revolution said it plans to use the data to apply for Food and Drug Administration approval, although it did not say when. When it does submit the data, approval might come fast. 

STAT spoke with Paul Oberstein of NYU Langone’s Perlmutter Cancer Center, an investigator in the trial, on its biotech podcast “The Readout Loud.”  

This transcript has been lightly edited for length and clarity.

Let’s start by talking about pancreatic cancer generally. Why is it so challenging to treat it and what are the current survival rates? 

Continue to STAT+ to read the full story…

For What’s Next: Preparing Today’s Lab or Tomorrow’s Discoveries

For What’s Next: Preparing today’s lab for tomorrow’s discoveries eBook coverModern biology is accelerating at an unprecedented pace, and with it comes increasing complexity. As a result, researchers are shifting toward more patient reflective models, uncovering richer phenotypes, and generating multidimensional datasets that push the limits of traditional workflows. However, become more sophisticated, operational challenges grow. Manual steps introduce variability, workflows don’t scale cleanly across teams or sites, and data pipelines struggle to keep pace with expanding volume and nuance. The result is a familiar bottleneck—ambitious science constrained by throughput, reproducibility, and the significant hands-on time required just to keep experiments moving.

This eBook brings together a curated collection of resources to help you break through those constraints. Each asset addresses the fundamental challenge of how to build workflows that are reproducible, scalable, and capable of generating confident, decision ready data. From emerging trends in 3D biology to actionable insights for implementing advanced models, the resources in this collection reflect how labs are adapting tools, methods, and data strategies to keep pace with increasingly complex science.

Discover how automation elevates upstream processes such as colony picking, clone selection, and supports specialized microbiome workflows by reducing bottlenecks and tightening reproducibility. Explore how AI powered automation helps ensure consistent performance across users and sites for both 2D and 3D model generation and expansion while reducing variability, supporting reliable organoid expansion, and returning valuablevtime to scientists by removing repetitive work. Learn how fast, quantitative plate based assays help teams quickly pinpoint meaningful biological responses, focusing deeper profiling where it will have the greatest impact. And see how high content imaging paired with AI enabled analysis reveals subtle phenotypes that traditional readouts often overlook, connecting treatment effects to underlying biology with far greater clarity.

Together, these insights reflect a unified strategy built FOR WHAT’S NEXT: integrated workflows and intelligent precision-automation that deliver reproducible results, scale seamlessly, reduce manual intervention, and support increasingly complex biology.

The post For What’s Next: Preparing Today’s Lab or Tomorrow’s Discoveries appeared first on GEN – Genetic Engineering and Biotechnology News.

The State of Multiomics & NGS

Broadcast Date: 

  • Time: 

Next-generation sequencing (NGS) has never been cheaper or more accessible. In turn, spatial biology, single-cell, and proteomics are fueling exciting advances in biology. The rapidly declining cost of whole-genome sequencing is empowering researchers to ask questions that were beyond reach just a few years ago. 

In The State of Multiomics & NGS virtual summit—sponsored exclusively by Illumina—GEN invites you to watch a superb line-up of presenters covering key topics in the world of multiomics, spatial biology, and NGS. This year’s summit features a broad selection of talks and panel discussions from renowned experts that offers our audience rich insights into the latest NGS platforms, spatial biology applications in neurodegenerative diseases and cell biology, and a critical look at data management challenges and solutions.

Among the highlights are:

  • A keynote presentation from Miranda Orr, PhD, on the use of spatial biology in studying Alzheimer’s and other neurodegenerative diseases
  • A deep dive into the latest NGS platforms and applications with veteran genomics analysts Keith Robison, PhD, and Shawn Baker, PhD
  • Modeling the proteome architecture of human cells with Noorsher Ahmed, PhD (Lundberg lab)
  • Chris Dwan on data management strategies for multiomics
  • And a sponsored breakout conversation featuring Illumina’s chief medical officer, Eric Green, MD, PhD, and cancer biologist Bodour Salhia, PhD (USC)

We look forward to seeing you on April 29. Registration is absolutely free! !

Guest Speakers Include

The State of Multiomics & NGS speakers

illumina logo

The post The State of Multiomics & NGS appeared first on GEN – Genetic Engineering and Biotechnology News.

Anemia May Be a Modifiable Risk Factor for Alzheimer’s Disease

Older adults with anemia have significantly higher levels of blood biomarkers for Alzheimer’s disease and a significantly increased risk for the disease itself, particularly when anemia is combined with the presence of the biomarkers, Swedish study data show.

The findings “suggest that anemia may interact with neuropathologic processes, potentially accelerating dementia development,” write Martina Valletta, MD, from Karolinska Institutet and Stockholm University in Sweden, and co-authors in JAMA Network Open.

Their analysis included data for 2282 dementia-free participants (median age, 72 years, 62% women) of the population-based Swedish National Study on Aging and Care in Kungsholmen. Of these, 8.7% had anemia at baseline.

The researchers report that participants with anemia had significantly higher baseline levels of the Alzheimer’s disease blood biomarkers phosphorylated tau 217 (p-tau217; 0.2 vs 0.1 pg/mL), neurofilament light chain (NfL; 36.6 vs 17.0 pg/mL), and glial fibrillary acidic protein (GFAP; 187.8 vs 117.4 pg/mL) relative to individuals with normal hemoglobin levels.

During a mean follow-up of 9.3 years, 362 (15.9%) participants developed dementia, with the incidence significantly higher among those with versus without anemia, at 4.4 and 1.7 cases per 100 person–years, respectively.

After adjustment for multiple potential confounding factors, like age, sex, education level, chronic kidney disease, heart disease, cerebrovascular disease, cancer, weight, iron and vitamin supplementation, and interleukin-6 level, the difference between the two groups corresponded to a significant 1.7-fold higher risk for developing dementia during follow-up among the participants with anemia relative to those with normal hemoglobin levels.

Valletta and colleagues note that the relationship between baseline hemoglobin levels and incident dementia was nonlinear. Specifically, below hemoglobin levels of approximately 14 g/dL dementia risk was inversely associated with hemoglobin level. Above this cutoff, the association plateaued.

In addition, the team found that co-occurrence of low hemoglobin and elevated Alzheimer’s disease blood biomarkers further amplified dementia risk.

For example, compared with participants without anemia and with low NfL, the risk for dementia was a non-significant 1.1-fold higher among those with anemia only, a significant 2.2-fold higher among those with high NfL only, and a significant 3.6-fold higher among participants with both anemia and high NfL.

Elevated dementia risk also occurred when anemia was combined with high p-tau217 or GFAP levels, but no additive interaction was detected for these biomarkers.

In general, the risk associations were stronger in men than women and among participants not carrying APOE ε4 compared with carriers.

The researchers say there are several potential interpretations for their findings, including the possibility that “anemia may reduce brain resilience, thereby lowering the threshold at which neuropathology manifests clinically as dementia.”

They conclude that the study data “suggest anemia is a clinically relevant factor in the context of dementia risk stratification and is possibly a modifiable target in dementia prevention strategies.”

“Future studies should further investigate this possibility and formally assess whether—and which—blood biomarkers mediate the relationship between anemia and dementia development.”

The post Anemia May Be a Modifiable Risk Factor for Alzheimer’s Disease appeared first on Inside Precision Medicine.

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