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1.
Onco Targets Ther ; 13: 603-613, 2020.
Article in English | MEDLINE | ID: mdl-32021302

ABSTRACT

PURPOSE: This study investigated the clinical outcomes and safety of apatinib mesylate in the treatment of advanced non-squamous non-small cell lung cancer (NSCLC) in patients who progressed after standard therapy, and analyzed the kinase insert domain receptor (KDR) gene polymorphism. METHODS: A total of 135 patients with advanced non-squamous NSCLC who received apatinib mesylate were included. Objective response rates were evaluated. Subsequently, progression-free survival (PFS) and overall survival (OS) were assessed and safety data were recorded. Additionally, peripheral blood and biopsy cancer tissue specimens were collected from the patients with NSCLC for the genotyping of the genetic polymorphism and mRNA expression of the KDR gene, respectively. Analysis on the association between genotypes and prognosis was conducted. RESULTS: The objective response rate of the 135 patients with NSCLC was 18.52%, disease control rate was 65.19%, median PFS was 3.95 months, and median OS was 10.05 months. Regarding the KDR gene polymorphism analysis, the distribution of the 4397T>C polymorphism genotypes was in accordance with the Hardy-Weinberg Equilibrium (P=0.868). Moreover, the prognosis analysis indicated that the median PFS of patients with the CC/TC and TT genotypes was 2.80 and 4.80 months, respectively (P=0.002). Furthermore, the median OS of patients with the two genotypes was 9.10 and 10.56 months, respectively (P=0.041). The multivariate Cox regression analysis showed that the TC/CC genotypes were an independent factor for PFS (odds ratio: 1.72, P=0.009). There was no correlation between the polymorphism and adverse reactions. Additionally, the mRNA expression analysis suggested that the mRNA levels of KDR in cancer tissues were significantly different between the TT and TC/CC genotypes (P<0.001). CONCLUSION: The clinical outcomes of treatment with apatinib mesylate for advanced non-squamous NSCLC in patients who progressed after standard therapy may be influenced by the KDR 4397T>C polymorphism through mediation of the mRNA expression of KDR.

2.
Med Sci Monit ; 23: 309-314, 2017 Jan 18.
Article in English | MEDLINE | ID: mdl-28099409

ABSTRACT

BACKGROUND Long non-coding RNA SPRY4 intronic transcript 1 (lncRNA SPRY4-IT1) has been reported to be associated with the progression of several cancers, but its expression level in colorectal cancer (CRC) has rarely been reported. The purpose of this study was to estimate the clinical significance of SPRY4-IT1 in CRC. MATERIAL AND METHODS The relative expression levels of SPRY4-IT1 were detected by quantitative real-time polymerase chain reaction (qRT-PCR) in diseased tissues and the adjacent normal tissues of 106 CRC patients. Chi-square method was used to evaluate the association between SPRY4-IT1 expression and the clinical features. Additionally, we assessed the overall survival at different expression levels of SPRY4-IT1 using Kaplan-Meier method. The prognostic significance of SPRY4-IT1 was estimated by Cox regression analysis. RESULTS Up-regulated level of SPRY4-IT1 was detected in pathologic tissues of CRC patients compared with adjacent normal tissues (P=0.000). The relative expression of SPRY4-IT1 was associated with the tumor size, the depth of invasion, lymph node invasion, distant invasion, and tumor stage (P<0.05). Patients with high expression of SPRY4-IT1 had poor overall survival compared with those with high level (39.3 vs. 49.3 months, log-rank test, P=0.016). Cox regression analysis showed that SPRY4-IT1 could act as an independent prognostic factor in CRC (HR=2.341, 95% CI=1.136-4.826, P=0.021). CONCLUSIONS SPRY4-IT1 might be associated with tumorigenesis and progression of CRC, and it may be a promising biomarker for prognosis in patients with CRC.


Subject(s)
Colorectal Neoplasms/genetics , Gene Expression Regulation, Neoplastic , RNA, Long Noncoding/genetics , Up-Regulation/genetics , Cell Line, Tumor , Female , Humans , Male , Middle Aged , Multivariate Analysis , Prognosis , Proportional Hazards Models , RNA, Long Noncoding/metabolism , Survival Analysis
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