| Literature DB >> 32269623 |
Xingya Ruan1, Yonghua Sun2, Wei Wang2, Jianwei Ye2, Daoyun Zhang2, Ziying Gong2, Mingxia Yang1.
Abstract
Lung cancer is the most common type of cancer and the leading cause of cancer-associated death worldwide. Malignant pleural effusion (MPE), which is observed in ~50% of advanced non-small cell lung cancer (NSCLC) cases, and most frequently in lung adenocarcinoma, is a common complication of stage III-IV NSCLC, and it can be used to predict a poor prognosis. In the present study, multiple oncogene mutations were detected, including 17 genes closely associated with initiation of advanced lung cancer, in 108 MPE samples using next generation sequencing (NGS). The NGS data of the present study had broader coverage, deeper sequencing depth and higher capture efficiency compared with NGS findings of previous studies on MPE. In the present study, using NGS, it was demonstrated that 93 patients (86%) harbored EGFR mutations and 62 patients possessed mutations in EGFR exons 18-21, which are targets of available treatment agents. EGFR L858R and exon 19 indel mutations were the most frequently observed alterations, with frequencies of 31 and 25%, respectively. In 1 patient, an EGFR amplification was identified and 6 patients possessed a T790M mutation. ALK + EML4 gene fusions were identified in 6 patients, a ROS1 + CD74 gene fusion was detected in 1 patient and 10 patients possessed a BIM (also known as BCL2L11) 2,903-bp intron deletion. In 4 patients, significant KRAS mutations (G12D, G12S, G13C and A146T) were observed, which are associated with resistance to afatinib, icotinib, erlotinib and gefitinib. There were 83 patients with ERBB2 mutations, but only two of these mutations were targets of available treatments. The results of the present study indicate that MPE is a reliable specimen for NGS based detection of somatic mutations. Copyright: © Ruan et al.Entities:
Keywords: malignant pleural effusion; mutation; next generation sequencing; non-small cell lung cancer
Year: 2020 PMID: 32269623 PMCID: PMC7115151 DOI: 10.3892/ol.2020.11446
Source DB: PubMed Journal: Oncol Lett ISSN: 1792-1074 Impact factor: 2.967
Clinical characteristics of patients in this study.
| Characteristic | Number of cases | % |
|---|---|---|
| Sex | ||
| Male | 51 | 47.2 |
| Female | 56 | 51.8 |
| Unknown | 1 | 1 |
| Age, years | ||
| Median (range) | 68 (30–89) | |
| ≥30-<50 | 11 | 10.1 |
| ≥50-<70 | 51 | 47.2 |
| ≥70-<90 | 44 | 40.7 |
| Unknown | 2 | 2 |
| Histology | ||
| Adenocarcinoma | 65 | 60.1 |
| Others unknown | 43 | 39.9 |
Figure 1.Plot showing mutations related to certain agents and variants of unknown significance frequency with variant distribution in samples. The frequency of variant-positive samples per gene is shown on the left, and the number of different variants per sample is shown on the upper side. The right side shows the total number of variants per gene. Green indicates variants related to certain therapeutic agents, red indicates variants of unknown significance and gray indicates no variant was detected.
Figure 2.Molecular profiling of EGFR mutation distribution within 93 cases of EGFR positive patients.
Figure 3.Multiplexed molecular profiling between men (n=51) and women (n=56). ‘Special’ indicates mutations related to certain therapeutic agents.
Figure 4.Mutation distribution across different age groups. ‘Special’ indicates mutations related to certain therapeutic agents.