New lab-grown human embryo model produces blood cells
Peer-Reviewed Publication
Updates every hour. Last Updated: 6-Nov-2025 23:11 ET (7-Nov-2025 04:11 GMT/UTC)
Dana-Farber Cancer Institute researchers are leading four studies with important new findings in breast cancer, lung cancer, and bladder cancer at the European Society for Medical Oncology (ESMO) Congress 2025 in Berlin, Germany. The studies will be presented both in-person and online from October 17 to October 21.
Dana-Farber investigators will also present clinical trial results that report improved quality of life for metastatic breast cancer patients; new approaches, based on early investigations, to using blood tests to guide the treatment of kidney cancer; and new ways to analyze real-world data with artificial intelligence.
This review synthesizes the utility of exhaled volatile organic compounds (VOCs) in cancer diagnosis, treatment efficacy prediction, and recurrence monitoring. As endogenous metabolic byproducts, VOCs enable noninvasive detection via technologies like gas chromatography-mass
spectrometry (GC-MS), electronic noses, selected ion flow tube mass spectrometry (SIFT-MS), and high-pressure photonionization time-of-flight mass spectrometry (HPPI-TOFMS).
Key findings include strong diagnostic performance (e.g., lung cancer AUC=0.95, hepatocellular carcinoma VOC sensitivity outperforming AFP),accurate prediction of anti-PD-1/PD-L1 therapy response (AUC=0.89–0.97), and utility in colorectal cancer postoperative recurrence surveillance. Innovatively, it links VOC alterations to mechanisms (oxidative stress, CYP450 overexpression) and compares detection technologies’ strengths/limitations.
Clinical implications: VOCs address gaps of traditional biomarkers (low sensitivity/specificity), while highlighting needs for standardized sampling/analysis protocols and improved device stability to advance clinical translation.
Most scientific data never fuel the discoveries they should.
For every 100 datasets created, around 80 remain in the lab, 20 are shared but rarely reused, fewer than two meet FAIR standards, and only one typically drives new findings.
The result: delayed cancer treatments, climate models short on evidence, and research that cannot be reproduced.
Frontiers, the open-science publisher, is tackling this problem with the launch of Frontiers FAIR² Data Management, the world’s first all-in-one, AI-powered service for research data. Designed to transform how data is shared so it is reusable and credited, it brings together curation, compliance checks, AI-ready packaging, peer review, an interactive portal, certification, and lifetime hosting in a single workflow — ensuring that research funded today delivers faster breakthroughs in health, sustainability, and technology tomorrow.