Sentence examples for processing of breast from inspiring English sources

Processing of breast cancer tissues was performed after routine pathological examination.

Pre-analytic variables in the fixation and processing of breast specimens are well described to undermine HER-2 results.

Tumour tissues were stored in liquid nitrogen and pulverised in the frozen state with a microdismembrator as recommended by the European Organization for Research and Treatment of Cancer EORTCC) for processing of breast tumour tissue for cytosolic ER and PgR determinations (EORTC Breast Cancer Cooperative Group, 1980).

This genomic signature suggests that the differentiation process of breast cells is centered in the mRNA processing reactome, which emerges as an important regulatory pathway induced by pregnancy.

Collectively, these results demonstrate that BRCA1 enhances miR-143 and miR-145 processing of human breast cancer-associated specific miRNAs in vivo.

In brief, mechanical followed by enzymatic processing of normal breast tissue yielded organoids, which were trypsinized and filtered through a 70 μm cell strainer (BD Biosciences, San Jose, CA, USA) to obtain largely single cells.

One explanation for this apparent discrepancy might be the different processing of the breast cancer samples: for the biochemical test, the specimens were pulverised in the presence of a mild lysis buffer followed by ultracentrifugation, and only the supernatant was used for MAP kinase measurements.

Thick-section processing of entire breasts, using either fixed or unfixed (chilled or frozen) tissue has a long history [ 13- 16].

While some groups like Glickman and colleagues [ 26] are looking at post-processing the output maps to automatically discriminate between benign and normal tissue, post-processing of EIS breast information is still limited.

Additional roles for fibronectin in promoting tumour cells are suggested by data demonstrating that proteolytic processing of fibronectin induces breast tumour cell motility, invasion and activation of MMP-9 [ 15, 16].

In this paper, we present novel techniques for establishing the automated diagnosis of non-mass-enhancing lesions and thus improve the quality of breast MRI post-processing and reduce the number of missed or misinterpreted cases leading to false-negative diagnosis.