Improvments of biopsic technologies in histologic practics of uterus adenomyosis

In this article, the basic existent methodics of myometrium biopsy for adenometriosis identification are considered. The authors say their opinion with regard to these methodic defects and advantages. Perspective directions for biopsy technology improvement are discussed.

A subcellular cookie cutter for spatial genomics in human tissue

Intracellular heterogeneity contributes significantly to cellular physiology and, in a number of debilitating diseases, cellular pathophysiology. This is greatly influenced by distinct organelle populations and to understand the aetiology of disease it is important to have tools able to isolate and differentially analyse organelles from precise location within tissues. Here we report the development of a subcellular biopsy technology that facilitates the isolation of organelles, such as mitochondria, from human tissue. We compared the subcellular biopsy technology to laser capture microdissection (LCM) that is the state of art technique for the isolation of cells from their surrounding tissues. We demonstrate an operational limit of (>20 micron) for LCM and then, for the first time in human tissue, show that subcellular biopsy can be used to isolate mitochondria beyond this limit.

A novel CDA liquid biopsy technology for effective non-small cell lung cancer diagnosis.

e23131 Background: Cancer Differentiation Analysis liquid biopsy (CDA) has been investigated as a viable clinical utility in NSCLC diagnosis, as well as a new candidate for part of an overall post-CT scan clinical diagnostic and treatment decision tool kit. It has been also evaluated in NSCLC diagnosis, combined with imaging technologies. Methods: This was a retrospective investigation in which 160 individuals were recruited at Changhai Hospital of Shanghai from July to Dec. in 2014. CDA and CT scan tests were performed on all samples before final confirmation by biopsy. For CDA tests, peripheral blood was drawn in EDTA tubes before operation. A performance predication model of CDA and CT scan test results was built using pROC package in R Language for the data of Area Under the Curve (AUC) and CDA threshold values. Further analysis was carried out based on the CDA threshold values. Results: Out of the 160 individuals, 40 were diagnosed as benign lung diseases selected as control group, 120 were confirmed as NSCLC by pathology. CDA and CT test data along with epidemiological information were collected and complied. Details of other statistical results were given in the Table below. Conclusions: CDA liquid biopsy is a novel, multi-level, multi-parameter based disease diagnosis technology with improvements in multiple areas including but not limited to higher sensitivity and specificity, ability to diagnose cancer early, no side effects, and covering a wide range of cancer sites. Results showed that AUC values of CDA were higher than those of CT scan for all NSCLC stage groups. CDA plus CT scan combination has the highest average AUC value for all stages. CDA test can provide more accurate and reliable diagnostic information and data for oncologists in making crucial clinical decisions. It is expected that CDA liquid biopsy technology will play an important and critical role in NSCLC diagnosis. [Table: see text]