Sentence examples for benign and normal samples from inspiring English sources

RNA was isolated from frozen tissue for 64 tumour samples, all benign and normal samples and 1 × 105 cells from each breast cell line using Tri-reagent (Sigma).

We identified 577 differentially methylated regions or DMRs that distinguished, with 87% accuracy, malignant from non-malignant (benign and normal) samples.

Similar results are obtained in studies on Dicer mRNA in breast cancers [ 15], as well as in ovarian cancer patients where Dicer mRNA was shown to be decreased in ovarian cancers in comparison to benign and normal samples [ 16], furthermore, low Dicer protein expression is significantly associated with advanced tumour stages and with decreased survival [ 12].

Unsupervised cluster analysis of these tumors and normal samples could not clearly discriminate malignant from benign tumors, but three subclusters based on chance of relapse were identified.

Also noted, V-J pairing detected in individual malignant patient was less than the pairing in benign or normal samples.

Prostate cancer cells exhibited a pronounced global decrease in methylation compared with benign and normal tissue.

Nineteen carcinomas, one benign sample and one normal sample expressed both AD1 and AD2.

However, the dependency was not absolute, because nine PCa samples with at least 80% cancer tissue, and five normal samples (consisting of 100% benign epithelial and stromal cells) remained unassigned (p < 0.25).

Interestingly, the nine dog tumors classified as 'benign' and 'intermediate' cluster somewhere in between tumor and the normal samples in the PCA space, along the first principal component.

The mean age (mean ± SEM) of normal (normal + benign) and cancer samples were 66.9 ± 5.3 and 71.2 ± 4.9, respectively.

A combination of the reverse transcription polymerase chain reaction (RT-PCR) and Southern blot hybridization (SBH) for DCC mRNA levels was also carried out on 26 malignant, five LMP, eight benign and seven normal ovarian samples.