A2M is an inhibitor of matrix metalloproteinase activity, which is reported to contribute to tissue remodeling and morphogenesis. PAX6, which is associated with drug response, is strongly activated by cotylenin A in retinoblastoma cell lines. Decreased expression of EPHB3 in the chemoresistant group may have promoted chemoresistance by impairing the apoptotic response to cell damage. In conclusion, a gene signature discovered on a large data set provides robustness in accurately predicting chemotherapy response in serous OvCa. Meanwhile, we propose a novel approach for tumor nuclear image profile generation by characterizing patients with nuclear features in incremental bins, and we demonstrate that the tumor nuclear image profile exhibits a strong association with chemotherapy response. This imaging approach is capable of accounting for cell heterogeneity and improving the discriminating power. The integrated approach herein, using gene expression profile that predicts chemotherapy response coupled with the XAV939 morphologic features to stratify patients to the most appropriate treatment regimen, represents an important step toward the goal of personalized cancer treatment by identifying the area where novel drugs can be developed. Although our observations suggest that the tumor image profile is capable of defining prognosis and yielding mechanistic insights into the process of chemoresistance, one limitation of this study is the lack of validation of the image analysis due to unavailability of the independent image sets especially in a large population. This issue should be addressed in the future in order to determine the ultimate value of this technique in clinical practice. Besides, the resolution dependence of the morphologic features in separate bins has not been systematically investigated yet in this study and deserves attention in the follow-up studies. Future work also consists of inclusion of more possible morphologic features and verification of the genefeature relation identified in this study. The bacterial communities associated with different body surfaces can impact pathogen colonization resistance and autoimmune disease. For example, dysbioses of the gastrointestinal tract microbiota can trigger overgrowth of pathogens such as C. difficile, which are linked to chronic inflammatory conditions including Crohn’s disease and ulcerative colitis, and can increase risk of colonization by enteropathogens including Clostridia, Salmonella, Vibrio, Escherichia and Shigella spp. Probiotic activities of Lactobacillus spp. that colonize the vagina illustrate mechanisms by which the microbiota can influence susceptibility to infectious disease. Lactobacillus spp. regulate the balance of pro-inflammatory cytokines in vaginal secretions, block colonization and invasion of some pathogens and produce lactic acid, hydrogen peroxide and bacteriocins that inhibit other vaginal microorganisms. Reduction of vaginal Lactobacillus spp. is associated with the overgrowth of anaerobic bacteria that occurs in bacterial vaginosis, and increased susceptibility to bacterial and viral sexually transmitted infection. Thus there is strong evidence that the composition of the female reproductive tract microbiota is linked to reproductive health and resistance to STI in women. In comparison, the microbiota of the male reproductive tract is poorly described.