scholarly journals Risk factors for lymph node metastasis and surgical scope in patients with cN0 non-small cell lung cancer: a single-center study in China

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Bu Jianlong ◽  
Zhang Pinyi ◽  
Wu Xiaohong ◽  
Zhao Su ◽  
Pang Sainan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Small Cell ◽  
Small Cell Lung ◽  
Node Metastasis ◽  
Preoperative Serum ◽  
Serum Cea ◽  
Independent Risk Factors ◽  
Tumor Parenchyma

Abstract Background It is difficult to determine the lymph node metastasis of patients with clinically negative lymph nodes (cN0) non-small cell lung cancer (NSCLC) before surgery. The purpose of this study is to investigate risk factors of lymph node metastasis in cN0 NSCLC, thereby to identify the surgical indications for lymph node dissection in cN0 NSCLC. Methods We conducted a retrospective study of patients with tumor size ≤ 30 mm who underwent radical resection of NSCLC. Binary logistic regression analysis was applied to predict risk factors for lymph node metastasis, and subject operating characteristics (ROC) curve was used to evaluate the independent risk factors. Results Overall, 44 patients (6.8%) with cN0 NSCLC had lymph node metastasis. Factors of tumor consolidation diameter (p < 0.001) and preoperative serum carcinoembryonic antigen (CEA) level (p = 0.017) are independent risk factors lymph node metastasis in cN0 NSCLC. The ROC curve showed that the cut-off value of consolidation diameter was 16.5 mm, and the area under the curve (AUC) was 0.825 (p < 0.001, 95% CI 0.780–0.870); the cut-off value of serum CEA level was 1.765 μg/L, and the AUC was 0.661 (p < 0.001, 95% CI: 0.568–0.754). Moreover, 8 of 461 patients with tumor parenchyma ≤ 16.5 mm had lymph node metastasis, and 36 of 189 patients with tumor parenchyma > 16.5 mm had lymph node metastasis. Conclusion Tumor consolidation diameter and preoperative serum CEA are independent factors to predict cN0 NSCLC with tumor size ≤ 30 mm. For patients with tumor parenchyma > 16.5 mm, the probability of lymph node metastasis is higher and lymph node dissection is recommended. For patients with tumor parenchyma ≤ 16.5 mm, the probability of lymph node metastasis is lower and lymph node sampling is feasible.

scholarly journals Risk Factors for Lymph Node Metastasis and Surgical Scope in Patients With Early-Stage Non-Small Cell Lung Cancer: A Single-Center Study in China

2021 ◽  
Author(s):  
Jianlong Bu ◽  
Pinyi Zhang ◽  
Xiaohong Wu ◽  
Su Zhao ◽  
Sainan Pang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Early Stage ◽  
Node Metastasis ◽  
Early Stage Nsclc ◽  
Preoperative Serum ◽  
Serum Cea ◽  
Independent Risk Factors ◽  
Tumor Parenchyma

Abstract Background It is difficult to determine the lymph node metastasis of patients with early-stage non-small cell lung cancer (NSCLC) before surgery. The purpose of this study is to investigate risk factors of lymph node metastasis in early-stage NSCLC, thereby to identify the surgical indications for lymph node dissection in early-stage NSCLC. Methods We conducted a retrospective study of patients with tumor size ≤ 30mm who underwent radical resection of NSCLC. Binary logistic regression analysis was applied to predict risk factors for lymph node metastasis, and subject operating characteristics (ROC) curve was used to evaluate the independent risk factors. Results Overall, 44 patients (6.8%) with early-stage NSCLC had lymph node metastasis. Factors of tumor consolidation diameter (p < 0.001) and preoperative serum carcinoembryonic antigen (CEA) level (p = 0.017) are independent risk factors lymph node metastasis in early-stage NSCLC. The ROC curve showed that the cut-off value of consolidation diameter was 16.5mm, and the area under the curve (AUC) was 0.825 (p < 0.001, 95% CI: 0.780–0.870); the cut-off value of serum CEA level was 1.765µg/L, AUC = 0.661( p < 0.001, 95% CI: 0.568–0.754). Moreover, 8 of 461 patients with tumor parenchyma ≤ 16.5mm had lymph node metastasis, and 36 of 189 patients with tumor parenchyma > 16.5mm had lymph node metastasis. Conclusion Tumor consolidation diameter and preoperative serum CEA are independent factors to predict early stage NSCLC. For patients with tumor parenchyma > 16.5mm, the probability of lymph node metastasis is higher and lobectomy plus lymph node dissection is recommended. For patients with tumor parenchyma ≤ 16.5mm, the probability of lymph node metastasis is lower and sublobectomy plus lymph node sampling is feasible.

Independent risk factors for lymph node metastasis in 2623 patients with Non–Small cell lung cancer

2020 ◽  
Vol 34 ◽  
pp. 256-260
Author(s):  
Xinying Xue ◽  
Xuelei Zang ◽  
Yuxia Liu ◽  
Dongliang Lin ◽  
Tianjiao Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Node Metastasis ◽  
Independent Risk Factors

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&lt; 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.

scholarly journals Correlation analysis of RBM3 expression in tumor stroma and prognosis of patients with non-small cell lung cancer

2019 ◽  
Author(s):  
Ling Chen ◽  
Dongshuai Ling ◽  
Yi Chen ◽  
Kai Gai ◽  
Yang Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Overall Survival ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Tumor Stroma ◽  
Small Cell ◽  
Small Cell Lung ◽  
Node Metastasis ◽  
Rbm3 Expression

Abstract Objective: To investigate the correlation between the expression of RNA binding motif protein 3 (RBM3) in non-small cell lung cancer (NSCLC) pathological tissue and known risk factors. Methods: A retrospective analysis of the clinical and pathological features of 128 patients with NSCLC from August 1, 2014 to August 1, 2015 was performed. The expression of RBM3 and protein kinase B (AKT) in the tumor stroma was examined by immunohistochemistry and pathological enumeration, followed by analysis of its correlation with prognosis. The survival status of patients was followed up. The relationships between RBM3 and AKT protein expression in tumor stroma with overall survival (OS) and progression-free survival (PFS) were evaluated. Results: The expression of RBM3 was significantly correlated with tumor differentiation ( P =0.012), lymph node metastasis ( P =0.02), T staging ( P =0.041), and AKT expression ( P =0.021). Univariate Kaplan-Meier analysis showed that high expression of RBM3, lymph node metastasis, T staging, and high expression of AKT were prognostic factors in NSCLC ( P <0.05). Multivariate analysis of Cox proportional hazard model showed that high RBM3 expression, lymph node metastasis, and high AKT expression were independent risk factors for prognosis ( P <0.05). Conclusion: RBM3, AKT, and lymph node metastasis are independent prognostic factors for NSCLC, significantly affecting the prognosis of patients possibly through the classical signaling pathway AKT. RBM3 may be a prognostic marker for the overall survival rate of NSCLC and a candidate for the treatment of NSCLC, with potential therapeutic prospects.

Driver Gene Mutations and Risk of Lymph Node Metastasis in Non-Small Cell Lung Cancer

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Feiyue Z ◽  
◽  
Li Z ◽  
Zhang Bing ◽  
Chen Benchao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Gene Mutations ◽  
Small Cell ◽  
Lymph Node Status ◽  
Driver Gene ◽  
Small Cell Lung ◽  
Node Metastasis

Non-Small Cell Lung Cancer (NSCLC) lymph node status is closely related to its diagnosis, treatment, and prognosis. The lymph node status is an important basis for formulating clinical treatment strategies of NSCLC, therefore comprehensive and profound understanding of risk factors for lymph node metastasis is essential. There are many known factors for lymph node metastasis in NSCLC, such as pathological subtypes, tumor size, tumor location. Meanwhile, whether the mutation of the driver gene affects the lymph node metastasis is still lacking enough research. This article aims to elaborate the relationship between NSCLC driver gene mutation and lymph node metastasis, from NSCLC lymph node metastasis-related risk factors, driver genes and lymph node metastasis, metastatic lymph node mutation status analysis and detection these several aspects to summarize the latest research progress in NSCLC driver gene mutation and lymph node metastasis risk. It also fully explained the correlation between driver gene mutations and NSCLC tumor biological behaviors such as lymph node metastasis.

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