Cancer Diagnostics – News and Features

A identified 813 potential cancer driver genes via splicing, expanding targets beyond traditional mutation-centric models. Using the "spotter" algorithm, researchers found significant non-overlap with existing mutation databases.

Researchers have pioneered a light-based method for analyzing dried blood crystals, enhancing cancer detection. The technique shows 90% accuracy in diagnosing and classifying cancer with less pain and risk compared to traditional methods.

Researchers found a new class of RNA in blood nanoparticles, potentially paving the way for less invasive cancer diagnosis. They used next-generation RNA sequencing and other innovative tools to develop a cost-effective liquid biopsy test.

A new study has identified diet-derived metabolites, associated with red and processed meats, that drive young-onset colorectal cancer risk.

A deep learning model can effectively detect prostate cancer from MRI images, a new study reports.

The results of routine blood tests could be used to speed up cancer diagnosis among people with stomach pain or bloating, a new study suggests.

Scientists validated a biomarker that potentially predicts whether a stage 2 or 3 colon cancer patient will benefit from adjuvant chemotherapy. The research team aggregated gene expression profiles to create a 933-patient data set.

This article explores how recent advances in nanoscale technology are helping researchers to obtain more data with less hands-on time, vastly increasing what they can study and discover about diseases.

In this article, Asim Siddiqui explores the emerging ability of proteomics to reveal new biomarkers for disease.

CRISPR-Cas systems have become a plentiful source of technologies for molecular diagnostics and researchers have now developed a novel method that enables the detection of RNA with Cas12 nucleases, which naturally target DNA.