A novel prognostic model associated with the overall survival in patients with breast cancer based on lipid metabolism-related long noncoding RNAs.

Background: Lipid metabolism is closely related to the occurrence and development of breast cancer. Our purpose was to establish a novel model based on lipid metabolism-related long noncoding RNAs (lncRNAs) and evaluate the potential clinical value in predicting prognosis for patients suffering from breast cancer.

Methods: RNA data and clinical information for breast cancer were obtained from the cancer genome atlas (TCGA) database.

[Effect of extracelluar organic matter and natural organic matter on coagulation].

Influence of EOM and NOM on removal of algae and turbidity was investigated. The result showed that EOM had both beneficial and harmful effects on coagulation, it hindered the charge neutrality of the flocculant. Zeta potential of algae decreased from -40.