scholarly journals Clinical Significance of PIK3CA Gene in Non-Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Yi Wang ◽  
Yan Wang ◽  
Jialong Li ◽  
Jue Li ◽  
Guowei Che
Keyword(s):  
Lung Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Small Cell Lung Cancer ◽  
Pik3ca Mutation ◽  
Small Cell ◽  
Small Cell Lung ◽  
Pik3ca Gene ◽  
Node Metastasis ◽  
Nsclc Patients

Aim. To explore the clinicopathological and prognostic role of PIK3CA gene mutation and expression in non-small-cell lung cancer (NSCLC) patients. Methods. A systematic and comprehensive literature search was conducted through EMBASE (via OVID), Web of Science, and PubMed. Relative risks (RRs) and hazard ratios (HRs) with 95% confidence intervals (CIs) were combined to evaluate the relationship of the PIK3CA gene with clinicopathological parameters and the survival of NSCLC patients, respectively. Results. A total of 13 studies involving 3908 patients were analyzed in our study. Only lymph node metastasis status had an association with PIK3CA mutation (RR=2.823; 95% CI: 1.128-7.065; P=0.029). The results indicated that PICK3CA mutation was related with overall survival (OS) (HR=1.55; 95% CI: 1.13-2.13; P=0.007), progression-free survival (PFS) (HR=1.48; 95% CI: 1.06-2.08; P=0.023), and cancer-specific survival (CSS) (HR=2.63; 95% CI: 1.00-6.92; P=0.005). Furthermore, PIK3CA high expression was more prevalent in NSCLC patients with smoking history (RR=2.42; 95% CI: 1.04-5.61; P=0.040). However, no significant relation between PIK3CA expression and OS was found (HR=0.80; 95% CI: 0.58-1.12; P=0.193). Conclusion. PIK3CA mutation may affect lymph node metastasis and serve as a promising prognostic factor, and smoking may be related with PIK3CA high expression in NSCLC patients. However, more well-designed prospective researches are needed to verify the abovementioned findings.

scholarly journals Expression and Diagnostic Efficacy of miR-126-5p and miR-34c-3p in Serum Extracellular Vesicles of Non-Small Cell Lung Cancer Patients

2021 ◽  
Author(s):  
Jie Zhao ◽  
Wenlu Hang ◽  
Qian Wang ◽  
Yonghong Xu
Keyword(s):  
Lung Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Small Cell Lung Cancer ◽  
Poor Prognosis ◽  
Clinical Stage ◽  
Small Cell ◽  
Small Cell Lung ◽  
Node Metastasis ◽  
Nsclc Patients

Abstract Background: Non-small cell lung cancer (NSCLC) is a disease with quite grave prognosis. This study explored the diagnostic efficiency of miR-126-5p and miR-34c-3p in serum extracellular vesicles (EVs) in NSCLC patients.Methods: Serum EVs were extracted from NSCLC patients and healthy people and verified. The expression of miR-126-5p and miR-34c-3p in serum EVs were tested. Correlation of miR-126-5p and miR-34c-3p expression and diagnosis, prognosis and pathological characteristics (age, gender, tumor size, clinical stage, and lymph node metastasis) of NSCLC patients was analyzed. The downstream targets of miR-126-5p and miR-34c-3p were predicted and their roles in diagnosis and prognosis of NSCLC patients were evaluated.Results: miR-126-5p and miR-34c-3p were poorly expressed in serum EVs of NSCLC patients and their low expressions were associated with clinical stage, lymph node metastasis and prognosis of NSCLC patients and could be used as biomarkers for diagnosis. As the common target genes of miR-126-5p and miR-34c-3p, LYPLA1 and CDK6 were highly expressed in serum EVs and were associated with poor prognosis in NSCLC patients.Conclusion: Lowly expressed miR-126-5p and miR-34c-3p in serum EVs of NSCLC patients can serve as biomarkers for diagnosis and are linked with prognosis. As common targets of miR-126-5p and miR-34c-3p, LYPLA1 and CDK6 are also associated with poor prognosis in NSCLC patients.

Genetic variants in NPAS2 gene and clinical outcomes of resectable non-small-cell lung cancer

2021 ◽  
Vol 17 (7) ◽  
pp. 795-805
Author(s):  
Yiwei He ◽  
Gang Wang ◽  
Qian Wang ◽  
Zheng Zhao ◽  
Lu Gan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Genetic Variants ◽  
Small Cell ◽  
Small Cell Lung ◽  
Node Metastasis ◽  
Nsclc Patients

Background: A series of studies have demonstrated that NPAS2 plays a critical role in the development and progression of several cancers. However, the association between genetic variants in the  NPAS2 gene and the clinical outcome of patients with non-small-cell lung cancer (NSCLC) has not been investigated. Methods: Six functional SNPs in NPAS2 were selected and genotyped using the Sequenom iPLEX genotyping system in a cohort of 484 Chinese NSCLC patients undergoing surgery. Multivariate Cox proportional hazards model were used for the prognosis analysis. Results: We found that SNP rs2305158 exhibited a significant association with overall survival of NSCLC patients in the dominant model (hazard ratio [HR]: 0.68; 95% CI: 0.49–0.95; p = 0.02). Lymph node metastasis was significantly associated with increased death risk (HR: 1.73; 95% CI: 1.24–2.40; p = 0.001) in patients with the homozygous wildtype (WW) genotype of rs2305158. However, no significant association was observed between them in patients carrying a heterozygous variant (WV) or homozygous variant (VV) genotype of rs2305158. Finally, in the joint and interaction analysis, the patients carrying homozygous wildtype (WW) genotype and lymph node metastasis from N1 to N3 conferred a significant increased effect on death (HR: 2.29; 95% CI: 1.40–3.76; p = 0.001). Conclusions: Our results suggest that NPAS2 polymorphisms may serve as an independent prognostic marker for NSCLC patients.

Increased high-mobility group A2 correlates with lymph node metastasis and prognosis of non-small cell lung cancer

2018 ◽  
Vol 21 (3) ◽  
pp. 547-555 ◽  
Author(s):  
Xiangjun Guo ◽  
Jiaxin Shi ◽  
Yan Wen ◽  
Mengmeng Li ◽  
Qin Li ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
High Mobility ◽  
Small Cell ◽  
High Mobility Group ◽  
Small Cell Lung ◽  
Node Metastasis

scholarly journals Development of Nomograms for Predicting Lymph Node Metastasis and Distant Metastasis in Newly Diagnosed T1-2 Non-Small Cell Lung Cancer: A Population-Based Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Yiming Qi ◽  
Shuangshuang Wu ◽  
Linghui Tao ◽  
Yunfu Shi ◽  
Wenjuan Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Small Cell Lung Cancer ◽  
Distant Metastasis ◽  
Tumor Size ◽  
Small Cell ◽  
Small Cell Lung ◽  
Node Metastasis

BackgroundFor different lymph node metastasis (LNM) and distant metastasis (DM), the diagnosis, treatment and prognosis of T1-2 non-small cell lung cancer (NSCLC) are different. It is essential to figure out the risk factors and establish prediction models related to LNM and DM.MethodsBased on the surveillance, epidemiology, and end results (SEER) database from 1973 to 2015, a total of 43,156 eligible T1-2 NSCLC patients were enrolled in the retrospective study. Logistic regression analysis was used to determine the risk factors of LNM and DM. Risk factors were applied to construct the nomograms of LNM and DM. The predictive nomograms were discriminated against and evaluated by Concordance index (C-index) and calibration plots, respectively. Decision curve analysis (DCAs) was accepted to measure the clinical application of the nomogram. Cumulative incidence function (CIF) was performed further to detect the prognostic role of LNM and DM in NSCLC-specific death (NCSD).ResultsEight factors (age at diagnosis, race, sex, histology, T-stage, marital status, tumor size, and grade) were significant in predicting LNM and nine factors (race, sex, histology, T-stage, N-stage, marital status, tumor size, grade, and laterality) were important in predicting DM(all, P< 0.05). The calibration curves displayed that the prediction nomograms were effective and discriminative, of which the C-index were 0.723 and 0.808. The DCAs and clinical impact curves exhibited that the prediction nomograms were clinically effective.ConclusionsThe newly constructed nomograms can objectively and accurately predict LNM and DM in patients suffering from T1-2 NSCLC, which may help clinicians make individual clinical decisions before clinical management.

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