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Multi-Omics Integration Links NID2 to Colorectal Cancer
Depression travels with colorectal cancer far more often than chance would predict, yet separating cause from consequence has been hard, since a cancer diagnosis itself can drag mood down. A 2026 iScience study used multi-omics integration to break that loop, pairing plasma protein quantitative trait loci with genome-wide association data for colorectal precancer and cancer. Across a 2,857-patient colonoscopy cohort and 37,597 NHANES participants, the team chased the depressi
Seungjun Yeo


Proteomics Predicts Radiotherapy Toxicity in Cancer
Roughly six in ten patients with localized solid tumors get radiotherapy with curative intent, and many carry bowel or urinary side effects for years afterward. The problem is timing: clinicians cannot tell before the first dose who will tolerate treatment. A 2026 study in Communications Medicine applied longitudinal plasma proteomics to weekly blood from patients with prostate, bladder, or head and neck cancer, charting how radiation reshapes the circulating proteome and whi
Seungjun Yeo


Multi-Omics Integration: Diabetic Heart Disease Drivers
Heart failure in type 2 diabetes often arrives with open coronary arteries and a stiff, poorly relaxing left ventricle, and the molecular reasons have stayed murky in actual human myocardium. A new study in Genome Medicine used multi-omics integration to profile left ventricular tissue from people with diabetic cardiomyopathy, set against non-diabetic cardiomyopathy and healthy donor hearts. The team paired RNA sequencing, 4D-DIA proteomics, and full-spectrum metabolite profi
Seungjun Yeo


Multi-Omics Integration: RA-ILD Diagnostic Biomarkers
Roughly one in ten people with rheumatoid arthritis develops interstitial lung disease, and once it shows up the median survival sits near 2.6 years. Diagnosis still hinges on a radiologist reading high-resolution CT, a process that misses early fibrosis and disagrees from one reader to the next. A team working across four Chinese hospitals asked whether multi-omics integration could sharpen that call. From 278 rheumatoid arthritis patients they pulled blood transcriptomics,
Seungjun Yeo
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