A three-platelet mRNA set: MAX, MTURN and HLA-B as biomarker for lung cancer

Abstract

Background: During the development of tumors, tumors “educate” platelets causing changes in their mRNAs expression profiles and phenotypes, thereby, tumor-educated platelet (TEP) mRNA profile has the potential to diagnose lung cancer. The current study aimed to examine whether TEPs might be a potential biomarker for lung cancer diagnostics. Methods: Platelet precipitation was obtained by low-speed centrifugation and subjected to Trizol for total RNA extraction. Platelet MAX, MTURN, and HLA-B mRNA were selected by microarray, validated by qPCR, and analyzed combined with related clinical factors. Results: Our results showed that a three-platelet mRNA set: MAX, MTURN, and HLA-B was significantly up-regulated in lung cancer patients as well as in early-stage lung cancer patients compared with those from healthy donors, the area under the curve (AUC) was 0.734, 0.787, respectively, among which platelet MTURN mRNA processed a dramatically high diagnostic efficiency in female patients with lung cancer, its AUC for female was 0.825. More importantly, the three-platelet mRNA set: MAX, MTURN, and HLA-B was associated with chemotherapeutic effect, low mRNA expression of this three-platelet set was correlated with “favorable” first chemotherapy response. Conclusions: A three-platelet mRNA set: MAX, MTURN and HLA-B enables blood-based lung cancer diagnosis and chemotherapy response prediction.