Oncology Breakthroughs: Using Spatial Data to Unmask Tumor Microenvironment Secrets

Gynecological cancers, including ovarian, cervical, uterine, and endometrial cancers, remain some of the most complex malignancies to study. While survival has improved in many cancers, uterine corpus cancer is trending upward; in 2025, the U.S. is expected to see 69,120 new cases and 13,860 deaths, and mortality increased about 1.5% per year from 2013 to 2022. These trends point to the need for deeper molecular data to guide translational research.

NGS in Gynecological Cancer Research: From Tumor Profiling to Single-Cell Insights

Gynecological cancers, including ovarian, cervical, uterine, and endometrial cancers, remain some of the most complex malignancies to study. While survival has improved in many cancers, uterine corpus cancer is trending upward; in 2025, the U.S. is expected to see 69,120 new cases and 13,860 deaths, and mortality increased about 1.5% per year from 2013 to 2022. These trends point to the need for deeper molecular data to guide translational research.

10x Visium HD vs. Xenium Prime: A Technical Deep Dive into Spatial Transcriptomics

The spatial transcriptomics field provides unrivaled insights into gene expression within intact tissue architecture which is crucial for both exploratory discovery and targeted hypothesis testing. Two paradigms stand out: the 10x Genomics Visium HD platform and Xenium Prime (e.g., Xenium Prime 5K imaging-based assay). This post dissects their core technologies, strengths, and optimal use cases for advanced genomic research.

Decoding the Future: Announcing Signios Bio

Today, we launch Signios Bio, a rebrand of what was previously known as MedGenome US Research Services. With a focus on scientific collaboration and breakthrough discovery, Signios Bio offers an integrated end-to-end suite of multiomic technologies.

Exploring the new Human Cell Atlas release and its impact on genomic research

The Human Cell Atlas (HCA) consortium has unveiled a landmark collection of over 40 studies from more than 100 countries, marking a significant leap in our understanding of the human body. Published across Nature and its affiliated journals, this updated release represents years of collaborative effort, utilizing cutting-edge single-cell and spatial transcriptomics technologies to map the cellular composition of tissues in unprecedented detail. These findings pave the way for breakthroughs in regenerative medicine, diagnostics, and the treatment of complex diseases.

Lung Cancer: Molecular Insights and Emerging Therapeutic Approaches

Lung cancer remains the leading cause of cancer-related deaths globally, accounting for 18.4% of all cancer fatalities. Smoking is the primary cause of lung cancer, responsible for 80-90% of lung cancer deaths, though other risk factors like secondhand smoke, radon, asbestos, and family history also play roles. Research efforts to improve early detection, such as low-dose CT scans and biomarker tests, offer promise, and machine learning tools are being developed to enhance CT scan accuracy.