Assessment of peritoneal microbial features and tumor marker levels as potential diagnostic tools for ovarian cancer - Miao, Ruizhong; Badger, Taylor C.; Groesch, Kathleen; Diaz-Sylvester, Paula L.; Wilson, Teresa; Ghareeb, Allen; Martin, Jongjin Anne; Cregger, Melissa; Welge, Michael; Bushell, Colleen; Auvil, Loretta; Zhu, Ruoqing; et al. (PloS one, 2020)
Keywords: 60 APPLIED LIFE SCIENCES; Aged; Antigens; Ascites; Ascitic Fluid - microbiology; Bioinformatics; Biology; Biology and Life Sciences; Biomarkers; Blood; CA-125 Antigen - blood; Cancer; Cancer detection and diagnosis; Cancer research; Carcinoma, Ovarian Epithelial - blood; Carcinoma, Ovarian Epithelial - diagnosis; Carcinoma, Ovarian Epithelial - microbiology; Carcinoma, Ovarian Epithelial - surgery; Clostridium; Computational biology; Computer and Information Sciences; Cross-Sectional Studies; Development and progression; Diagnostic imaging; Diagnostic medicine; Diagnostic software; Diagnostic systems; Disease; DNA, Bacterial - genetics; DNA, Bacterial - isolation & purification; Epididymis; Female; Fungi; Gynecology; Health screening; Humans; Hysterectomy; Immunology; Laparoscopy; Learning algorithms; Machine Learning; Markers; Medical diagnosis; Medical schools; Medicine; Medicine and Health Sciences; Membrane Proteins - blood; Microbiome; Microbiota - genetics; Microorganisms; Middle Aged; Model accuracy; Models, Biological; Mucosa; Next-generation sequencing; Obstetrics; Ovarian cancer; Ovarian carcinoma; Ovarian Neoplasms - blood; Ovarian Neoplasms - diagnosis; Ovarian Neoplasms - microbiology; Ovarian Neoplasms - surgery; Ovariectomy; Pathogenesis; Patients; Peritoneal fluid; Peritoneum; Pilot Projects; Preoperative Period; Prognosis; Reproductive system; RNA, Ribosomal, 16S - genetics; Serum levels; Surgery; Surgical oncology; Tumor markers; Tumors; Ultrasonic imaging; Ultrasound imaging; WAP Four-Disulfide Core Domain Protein 2 - analysis; Womens health; United States--US; Illinois; Tennessee