首页> 中文期刊> 《癌症生物学与医学:英文版》 >Clinical-pathological and molecular characterization of long-term survivors with advanced non-small cell lung cancer

Clinical-pathological and molecular characterization of long-term survivors with advanced non-small cell lung cancer

         

摘要

Objective:Long-term survivors(LS)of non-small cell lung cancer(NSCLC)without driver alterations,displaying an overall survival(OS)of more than 3 years,comprise around 10%of cases in several series treated with chemotherapy.There are classical prognosis factors for these cases[stage,Eastern Cooperative Oncology Group(ECOG),etc.],but more data are required in the literature.In this multi-center study,we focused on LS of advanced NSCLC with OS above 36 months to perform a clinical-pathological and molecular characterization.Methods:In the first step,we conducted a clinical-pathological characterization of the patients.Afterwards,we carried out a genetic analysis by comparing LS to a sample of short-term survivors(SS)(with an OS less than 9 months).We initially used whole-genome RNA-seq to identify differentiating profiles of LS and SS,and later confirmed these with reverse transcription-polymerase chain reaction(RT-PCR)for the rest of the samples.Results:A total of 94 patients were included,who were mainly men,former smokers,having adenocarcinoma(AC)-type NSCLC with an ECOG of 0-1.We obtained an initial differential transcriptome expression,displaying 5 over-and 33 under-expressed genes involved in different pathways:namely,the secretin receptor,surfactant protein,trefoil factor 1(T FF1),serpin,Ca-channels,and Tolllike receptor(TLRs)families.Finally,RT-PCR analysis of 40(20 LS/20 SS)samples confirmed that four genes(surfactant proteins and SFTP)were significantly down-regulated in SS compared to LS by using an analysis of covariance(ANCOVA)model:SFTPA1(P=0.023),SFTPA2(P=0.027),SFTPB{P=0.02),and SFT PC(P=0.047).Conclusions:We present a sequential genetic analysis of a sample of NSCLCLS with no driver alterations,obtaining a differential RNA-seq/RT-PCR profile showing an abnormal expression of SF genes.

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