首页|Georgia Institute of Technology Reports Findings in Ovarian Cancer (Serum Lipido me Profiling Reveals a Distinct Signature of Ovarian Cancer in Korean Women)
Georgia Institute of Technology Reports Findings in Ovarian Cancer (Serum Lipido me Profiling Reveals a Distinct Signature of Ovarian Cancer in Korean Women)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Oncology - Ovarian Can cer is the subject of a report.According to news reporting originating in Atlan ta,United States,by NewsRx journalists,research stated,"Distinguishing ovari an cancer (OC) from other gynecological malignancies is crucial for patient surv ival yet hindered by non-specific symptoms and limited understanding of OC patho genesis.Accumulating evidence suggests a link between OC and deregulated lipid metabolism." The news reporters obtained a quote from the research from the Georgia Institute of Technology,"Most studies have small sample sizes,especially for early-stag e cases,and lack racial/ethnic diversity,necessitating more inclusive research for improved OC diagnosis and prevention.Here,we profiled the serum lipidome of 208 OC,including 93 patients with early-stage OC,and 117 non-OC (other gyne cological malignancies) patients of Korean descent.Serum samples were analyzed with a high-coverage liquid chromatography high-resolution mass spectrometry pla tform,and lipidome alterations were investigated via statistical and machine le arning approaches.We found lipidome alterations unique to OC were present in Ko rean women as early as when the cancer is localized,and those changes increase in magnitude as the diseases progresses.Analysis of relative lipid abundances r evealed specific patterns for various lipid classes,with most classes showing d ecreased abundance in OC in comparison to other gynecological diseases.Machine learning methods selected a panel of 17 lipids that discriminated OC from non-OC cases with an AUC of 0.85 for an independent test set.This study provides a sy stemic analysis of lipidome alterations in human OC,specifically in Korean wome n."
AtlantaUnited StatesNorth and Centra l AmericaAsiaCancerCyborgsEmerging TechnologiesEpidemiologyGynecolog yHealth and MedicineMachine LearningOncologyOvarian CancerWomen's Heal th
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