GSE137140 ( miRNA )

lung cancer ( lung )

Blood test using serum microRNAs can discriminate lung cancer from non-cancer

Cancer : 2178 / Control : 1746

The presence of miRNA was determined based on a corresponding microarray signal of greater than [the mean + 2 × standard deviation] of the negative controls signal, of which the top and bottom ranked ones by signal intensity were removed. Once a miRNA was considered present, the mean signal of the negative controls of which the top and bottom 5% ranked by signal intensity were removed was subtracted from the miRNA signal. When the signal value was negative (or undetEsophageal Cancerted) after background subtraction, the value was replaced by 0.1 on a base 2 logarithm scale.

A serum miRNA combination could be a powerful classifier for the detection of patients with lung cancers.

Circulting microRNA profiles of 3924 samples consisted of 1566 preoperative lung cancer, 180 postoperative lung cancer and 1774 non-cancer controls.

Asakura K, Kadota T, Matsuzaki J, Yoshida Y et al. A miRNA-based diagnostic model predicts resectable lung cancer in humans with high accuracy. Commun Biol 2020 Mar 19;3(1):134. PMID: 32193503

Total RNA was extracted each from 300uL serum samples using 3D-Gene® RNA extraction reagent from liquid sample kit (Toray Industries, Inc.).

total RNA

Cy5

miRNA was labeled using 3D-Gene® miRNA Labeling kit in accordance with the manufacturer's instructions.

Hybridized for 16 h at 32 ºC with rotary shaker (250 rpm). Hybridization buffer and washing protocol was attached in the 3D-Gene® miRNA oligo chip kit.

3D-Gene Scanner (Toray Industries, Inc.) was used for scanning. Images were quantified using Extraction version 2.0.0.6 (Toray Industries, Inc.).