Application of multispectral imaging in quantitative immunohistochemistry study of breast cancer: a comparative study.

Multispectral imaging (MSI) based on imaging and spectroscopy, as relatively novel to the field of histopathology, has been used in biomedical multidisciplinary researches. We analyzed and compared the utility of multispectral (MS) versus conventional red-green-blue (RGB) images for immunohistochemistry (IHC) staining to explore the advantages of MSI in clinical-pathological diagnosis. The MS images acquired of IHC-stained membranous marker human epidermal growth factor receptor 2 (HER2), cytoplasmic marker cytokeratin5/6 (CK5/6), and nuclear marker estrogen receptor (ER) have higher resolution, stronger contrast, and more accurate segmentation than the RGB images.

Quantum dot-based multispectral fluorescent imaging to quantitatively study co-expressions of Ki67 and HER2 in breast cancer.

Both Ki67 and HER2 are key prognostic molecules for invasive breast cancer (BC), but the individual relative impacts on prognosis of these molecules are not known. This study was aimed at establishing a quantum dot (QD)-based double-color in-situ quantitative imaging technique to study the co-expressions of Ki67 and HER2, and delineate the individual impacts of these molecules on prognosis. The QD-based fluorescent immunostaining technique could simultaneously image the co-expressions of Ki67 and HER2 in BC specimens, with the former stained as clear red fluorescence in cancer cell nucleus, and the latter as bright green fluorescence on cancer cell membrane.

New breast cancer prognostic factors identified by computer-aided image analysis of HE stained histopathology images.

Computer-aided image analysis (CAI) can help objectively quantify morphologic features of hematoxylin-eosin (HE) histopathology images and provide potentially useful prognostic information on breast cancer. We performed a CAI workflow on 1,150 HE images from 230 patients with invasive ductal carcinoma (IDC) of the breast. We used a pixel-wise support vector machine classifier for tumor nests (TNs)-stroma segmentation, and a marker-controlled watershed algorithm for nuclei segmentation.

Protective effect of astragalus polysaccharides on liver injury induced by several different chemotherapeutics in mice.

Side effects are an unavoidable consequence of chemotherapy drugs, during which liver injury often takes place. The current study was designed to investigate the protective effect of Astragalus polysaccharides (APS) against the hepatotoxicity induced by frequently-used chemical therapy agents, cyclophosphamide (CTX), docetaxel (DTX) and epirubicin (EPI)) in mice. Mice were divided into five groups, controls, low or high dose groups (DTXL, CTXL, EPIL or DTXH, CTXH, EPIH), and low or high dose chemotherapeutics+APS groups (DTXL+APS, CTXL+APS, EPIL+APS or DTXH+APS, CTXH+APS, EPIH+APS).

Ritonavir-induced hepatotoxicity and ultrastructural changes of hepatocytes.

To investigate the effect of ritonavir on hepatocyte proliferation, we detected the change of cleaved caspase-3 expression level in the hepatocytes. Furthermore, the morphological and ultrastructural changes of hepatocytes derived from RTV-treated mice have been observed. The results showed that ritonavir can evidently inhibit hepatocyte proliferation and increase cleaved caspase-3 expression level.