| dc.description.abstract | Researchers study both cancer and tumor microenvironment (TME) in carcinomas in order to uncover correlations between the tumor biology and the diagnostic profiles of the patients affected. The survival perspectives for patients diagnosed with high-grade serous ovarian cancer (HGSOC) are difficult to predict. To address this unmet need, the aim of this project was to identify molecular profiles of HGSOC tumors from patients of long-term and short-term survival.
In this project we used digital pathology by QuPath digital image analysis software to analyze 13 tumors from patients with HGSOC. The tumors have Hematoxylin and Eosin staining, and immunohistochemistry using antibodies specific to different diagnostic biomarkers, PAX8, p53, EpCAM and Calretinin, and are analyzed in this project using QuPath. This makes up a total of 52 bioimages included in the analysis. We used digital bioimage analysis to detect, classify and generate data from the 52 bioimages.
The output of this project is data describing the cells from the 52 bioimages with three biomark- ers in cancer cells, PAX8, p53 and EpCAM, as well as one biomarker in the TME, Calretinin. Additionally, the results also include mesothelial cell circularity averages from bioimages with Calretinin.
With these results further analysis is possible to investigate profiling regarding long- and short- term survivors of HGSOC using the mentioned biomarkers. The data includes different quant- itative measurements inferred from the classified cells divided into tumor cells, immune cells, mesenchymal-like cells, and mesothelial cells.
There was not found any significant difference between the cell circularity average in mesothelial cells between the long- and short-term survivors, and thereby no apparent connection between invading mesothelial cells and patients’ survivability. This was assessed as an example of how the data can be used, and thus aims to further guide research and statistical analysis.
For access to the data produced throughout this project, please reach out to us at:
https:www.ntnu.edu/ibf/research/cancer-stroma#/view/about | |