Extracellular Vesicle Molecular Signatures Characterize Metastatic Dynamicity in Ovarian Cancer

• DOI: 10.3389/fonc.2021.718408
• Publication Date: 2021-11-18T09:23:28Z
• Authors: Amber Gonda; Nanxia Zhao; Jay V. Shah; Jake N. Siebert; Srujanesh Gunda; Berk Inan; Mijung Kwon; Steven K. Libutti; Prabhas V. Moghe; Nicola L. Francis; Vidya Ganapathy
• Keywords: Extracellular vesicles; Extracellular Vesicles

Background Late-stage diagnosis of ovarian cancer, a disease that originates in the ovaries and spreads to peritoneal cavity, lowers 5-year survival rate from 90% 30%. Early screening tools can: i) detect with high specificity sensitivity before conventional such as transvaginal ultrasound CA-125, ii) use non-invasive sampling methods iii) longitudinally significantly increase rates cancer are needed. Studies employ blood-based using circulating tumor-cells, -DNA, most recently tumor-derived small extracellular vesicles (sEVs) have shown promise detection standard care. Our findings this study show sEV-derived signature longitudinal tool cancer. Methods Human serum samples well plasma ascites mouse model were collected at various stages. Small extracted commercially available kit. RNA was isolated lysed sEVs, quantitative RT-PCR performed identify specific metastatic gene expression. Conclusion This paper highlights potential sEVs monitoring progression development. We identified 7-gene panel derived plasma, serum, overlapped an established carcinoma signature. found be differentially expressed tumor development spread The notable finding significant change ascites-derived sEV plasma-derived varying stages progression. While there quantifiable changes genes serum-derived patients, we unable establish definitive due low sample number. Taken together our differential expression present minimally invasive for molecular associated spread.