ObjectiveTo explore the relationship between Beclin 1 level and lymph node metastasis in patients with non-small cell lung cancer.MethodA total of 204 surgical specimens of patients with non-small cell lung cancer from September 2011 to September 2016 were collected in our hospital. There were 116 males and 88 females . Beclin 1 levels were detected by Western blotting. There were 116 males and 88 females at average age of 55.3±11.2 years. The patients were divided into three groups including a group N0 (no lymph node metastasis), a group N1(intralobar and interlobar lymph node metastases, and no mediastinal lymph node metastasis), and a group N2 (mediastinal lymph node metastasis). The differences of Beclin 1 levels in tumor tissues and lymph nodes of patients with N0, N1 and N2 were statistically analyzed.ResultsAmong 204 patients of lung cancer, 36 patients were squamous cell carcinoma and 168 patients were adenocarcinoma. The levels of Beclin 1 in tumor tissues of N0, N1 and N2 groups decreased gradually with a statistical difference (P<0.05). In the three groups, the levels of Beclin 1 in the lung hilum and intrapulmonary lymph nodes (N1 Beclin 1) of N1 and N2 groups were less than that of N0 group with a statistical difference (P<0.01). In the three groups, the level of Beclin 1 in the mediastinal lymph nodes (N2 Beclin 1) of N2 group was less than that of the N0 and N1 groups with a statistical difference (P<0.01). In the N1 group, the level of N1 Beclin 1 was less than that of N2 group (P<0.01). In the N2 group, though the level of N1 Beclin 1 was less than N2 Beclin 1, there was no statistical difference (P>0.05). ConclusionBeclin 1 level can be used as a reference index to judge the benign and malignant lung masses, and lymph node Beclin 1 level can be used as an important reference index to help determine whether there is lymph node metastasis in lung cancer.
Systematic lymph nodes dissection has been a standard procedure in lung cancer surgery, while the manipulation of mediastinal lymph nodes for early stage lung cancer remains controversial since surgeons have been weighing the advantages and disadvantages of different methods of lymph node dissection. With an increasing in early stage non-small cell lung cancer patients in recent years, there are more and more intensive studies especially focusing on the mediastinal lymph nodes dissection of clinical stage ⅠA lung cancer. In this review, the lymph nodes management of clinical stage ⅠA non-small cell lung cancer, especially systematic lymph nodes dissection and sampling as well as lobe-specific lymph node dissection, are summarized.
Abstract： Objective To analyze the modes and rules of subcarinal lymph node metastasis in non-small cell lung cancer patients， and explore appropriate surgical dissection strategy of subcarinal lymph nodes for patients with non-small cell lung cancer. Methods The clinical data of 608 patients with non-small cell lung cancer who underwent lung resection and systematic lymph node dissection in Henan Cancer Hospital from September 2002 to October 2011 were analyzed retrospectively. There were 388 males and 220 females with an average age of 62.3 （45-78） years. There were 122 patients with left upper lobe tumor， 119 patients with left lower lobe tumor， 158 patients with right upper lobe tumor， 40 patients with right middle lobe tumor and 169 patients with right lower lobe tumor. Subcarinal lymph node metastasis was observed in 118 patients （19.4%）. There were 244 patients with squamous carcinoma， 285 patients with adenocarcinoma and 79 patients with other types of carcinoma. The relationship of subcarinal lymph node metastasis with tumor location， pathological types and clinicopathological characteristics were analyzed. Results There was statistical difference in subcarinal lymph node metastasis rate among different tumor locations （P=0.000）. Subcarinal lymph node metastasis rate was the highest ［45.8% （54/118）］ in patients with right lower lobe tumor. For patients with different pathological types， subcarinal lymph node metastasis rate was the highest ［55.9% （66/118）］ in patients with adenocarcinoma， and then squamous carcinoma （P=0.034）. Subcarinal lymph node metastasis rate increased with the increase in T staging， and patients with tumors located in the middle or lower lobe of the left or right lung had a significantly higher subcarinal lymph node metastasis rate than patients with upper lobe tumor. Conclusion Subcarinal lymph node metastasis rate are lower in patients with left or right upper lobe tumor， patients with squamous carcinoma whose clinical T staging is within cT 1 .
ObjectiveTo explore the risk factors of lymph node metastasis (LNM) in patients with early gastric cancer (EGC), and try to establish a risk prediction model for LNM of EGC.MethodsThe clinicopathologic data of EGC patients who underwent radical gastrectomy and lymph node dissection from January 1, 2015 to December 31, 2019 in this hospital were retrospectively analyzed. Univariate analysis and logistic regression analysis were used to determine the risk factors for LNM of EGC, and the risk prediction model for LNM of EGC was established based on the multivariate results.ResultsA total of 311 cases of EGC were included in this study, and 60 (19.3%) cases had LNM. Univariate and multivariate analysis showed that age (younger), depth of tumor invasion (submucosa), vascular invasion, and undifferentiated carcinoma were the risk factors for LNM of EGC (P<0.05). The optimal threshold for predicting LNM of EGC was 0.158 (area under the receiver operating characteristic curve was 0.864), the sensitivity was 80.0%, and the specificity was 79.3%.ConclusionsFrom results of this study, risk factors for LNM of EGC have age, depth of invasion, vascular invasion, and differentiation degree. Risk prediction model for LNM of EGC established on this results has high sensitivity and specificity, which could provide some references for treatment strategy of EGC.
ObjectiveTo investigate the risk factors for central lymph node metastasis (CLNM) in patients with clinically negative lymph node (cN0 stage) papillary thyroid carcinoma (PTC).MethodsThe clinicopathological data of 250 patients with cN0 PTC who underwent thyroidectomy and central lymph node dissection (CLND) in Department of General Surgery of Xuzhou Central Hospital from June 2016 to June 2019 were retrospectively analyzed. The influencing factors of CLNM in patients with cN0 PTC were analyzed by univariate analysis and binary logistic regression, and then R software was used to establish a nomogram prediction model, receiver operating characteristic curve was used to evaluate the differentiation degree of the model, and Bootstrap method was used for internal verification to evaluate the calibration degree of the model.ResultsCLNM occurred in 147 of 250 patients with cN0 PTC, with an incidence of 58.8%. Univariate analysis showed that multifocal, bilateral, tumor diameter, and age were correlated with CLNM (P<0.01). The results of binary logistic regression analysis showed that multifocal, bilateral tumors, age≥45 years old, and tumor diameter>1 cm were independent risk factors for CLNM in patients with cN0 PTC (P<0.05). The area under the curve (AUC) of the nomogram prediction model established on this basis was 0.738, and the calibration prediction curve in the calibration diagram fitted well with the ideal curve.ConclusionsCLNM is more likely to occur in PTC. The nomogram model constructed in this study can be used as an auxiliary means to predict CLNM in clinical practice.
Objective To explore the influencing factors of lymph node metastasis of Siewert Ⅱ/Ⅲ gastroesophageal junction adenocarcinoma (AEG) and its influence on prognosis of this kind of patients. Methods The clinical and pathological data of 49 patients with Siewert Ⅱ/Ⅲ AEG who admitted to Shiyan Hospital of Traditional Chinese from January 2010 to January 2013 were retrospectively analyzed. Univariate and multivariate analyses of factors affecting lymph node metastasis of AEG were performed by using a chi-square test and an unconditional logistic regression model; the effect of lymph node metastasis on the prognosis of patients with Siewert Ⅱ/Ⅲ AEG was performed by log-rank test. Results Multivariate unconditional logistic regression analysis showed that, tumor diameter (P=0.008), depth of invasion (P=0.019), vascular tumor thrombus (P=0.020), and degree of differentiation (P=0.017) were all influencing factors of lymph node metastasis. Patients with Siewert Ⅱ/Ⅲ AGE without lymph node metastasis had better survival than those with lymph node metastasis (P=0.005). Conclusion Tumor diameter, depth of invasion, degree of differentiation, and vascular tumor thrombus are independent risk factors for lymph node metastasis in patients with Siewert Ⅱ/Ⅲ AEG, and lymph node metastasis is associated with poor prognosis.
Objective To summarize the relation between tumor location and lymph node metastasis in early stage of breast cancer, which is aimed at providing a more individualized treatment for breast cancer patients. Method The literatures about breast cancer location and lymph node metastasis in recent years were extracted, through the literatures study we made a thematic review of the relation between them. Results There were two main classification methods for the location of breast tumors at present: tumor in the different quadrants and tumor to skin distance. In the quadrant classification method, the tumor in the upper inner quadrant (UIQ) had the lowest lymph node metastasis rate, while the lower inner quadrant (LIQ) tumor recurrence-free survival rate and overall survival rate were significantly lower than other quadrants. When measuring tumor to skin distance, the closer the tumor was to the skin, the more likely lymph node metastasis occurred. In combination with the distribution, histology, and anatomical differences of lymphatic and lymphatic networks, our study group proposed to classify tumors according to different anatomical levels of the breast, thus the anatomic location of the tumor was divided into four types: constricted in the gland, break the anterior gland, break the posterior gland, and break both anterior and posterior gland. Conclusions Regardless of the way the location is classified, the location of breast tumors is closely related to lymphatic and lymph node metastasis. The new classification according to the distribution of tumors at different anatomical levels of the breast accords with the law of lymphatic metastasis is scientific and reasonable. Therefore, during clinical practices, we recommend to use the new method to classify tumor location, and we should consider the differences in the location of the patients’ tumor to assess the status of axillary lymph node, which may provide a more individualized treatment for breast cancer patients.
ObjectiveTo explore the value on excision of subpyloric (No.6 group) lymph nodes of stomach by detection of metastatic rate and metastasis of lymph nodes of No.6 group and its subgroups. MethodsThe clinical data including complete information on No.6 group and its subgroups lymph nodes in 80 patients underwent gastrectomy and subpyloric lymph nodes dissection for gastric cancer from January 2006 to December 2009 were retrospectively analyzed. Referring to the right gastroepiploic vein, the No.6 lymph nodes were divided into three subgroups (No.6a, No.6b, and No.6c subgroup), and the relationship between the metastasis of No.6 lymph nodes and clinicopathologic features as well as the metastasis of No.7, No.8a， and No.9 lymph nodes were analyzed by logistic regression analysis. ResultsThe metastatic rate of No.6 group lymph nodes was 41.3% (33/80) and with 26.0% (108/415) of the resected lymph nodes involved. The metastatic rate of lymph nodes in No.6a subgroup (7.5%, 6/80) was significantly lower than that in No.6b (16.3%, 13/80) and No.6c subgroup (36.3%, 29/80), Plt;0.001. The metastasis of the resected lymph nodes in No.6a, No.6b, and No.6c subgroup was 25.0% (8/32), 17.6% (13/74), and 28.2% (87/309), respectively, and the difference was not significant (P=0.292). The metastasis of lymph nodes in No.6a subgroup was correlated to T stage (P=0.042) and N stage (P=0.006). The metastasis of lymph nodes in No.6b subgroup was correlated to N stage (P=0.002) and TNM stage (P=0.013). The metastasis of lymph nodes in No.6c subgroup was correlated to differentiation degree of tumor (P=0.008), T stage (P=0.003), N stage (P=0.000), and TNM stage (P=0.000). The logistic regression analysis showed that the metastasis of lymph nodes was correlated to the metastasis of No.8a lymph nodes (P=0.023) and N stage (P=0.002) in No.6 group, the metastasis of No.8a lymph nodes (P=0.018) in No.6a subgroup, N stage (P=0.005) in No.6b subgroup, and the metastasis of No.8a lymph nodes (P=0.016) and N stage (P=0.004) in No.6c subgroup. ConclusionAttentions should be paid to the complete dissection of subpyloric lymph nodes in gastric cancer surgery, especially for the lymph nodes of No.6a and No.6b subgroups.
ObjectiveTo explore the risk factors of lymph node metastasis in patients with colorectal cancer, and construct a risk prediction model to provide reference for clinical diagnosis and treatment.MethodsThe clinicopathological data of 416 patients with colorectal cancer who underwent radical resection of colorectal cancer in the Department of Gastrointestinal Surgery of the Second Affiliated Hospital of Nanchang University from May 2018 to December 2019 were retrospectively analyzed. The correlation between lymph node metastasis and preoperative inflammatory markers, clinicopathological factors and tumor markers were analyzed. Logistic regression was used to analyze the risk factors of lymph node metastasis, and R language was used to construct nomogram model for evaluating the risk of colorectal cancer lymph node metastasis before surgery, and drew a calibration curve and compared with actual observations. The Bootstrap method was used for internal verification, and the consistency index (C-index) was calculated to evaluate the accuracy of the model.ResultsThe results of univariate analysis showed that factors such as sex, age, tumor location, smoking history, hypertension and diabetes history were not significantly related to lymph node metastasis (all P>0.05). The factors related to lymph node metastasis were tumor size, T staging, tumor differentiation level, fibrinogen, neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), fibrinogen/albumin ratio (FAR), fibrinogen/prealbumin ratio (FpAR), CEA, and CA199 (all P<0.05). The results of logistic regression analysis showed the FpAR [OR=3.630, 95%CI (2.208, 5.968), P<0.001], CA199 [OR=2.058, 95%CI (1.221, 3.470), P=0.007], CEA [OR=2.335, 95%CI (1.372, 3.975), P=0.002], NLR [OR=2.532, 95%CI (1.491, 4.301), P=0.001], and T staging were independent risk factors for lymph node metastasis. The above independent risk factors were enrolled to construct regression equation and nomogram model, the area under the ROC curve of this equation was 0.803, and the sensitivity and specificity were 75.2% and 73.5%, respectively. The consistency index (C-index) of the nomogram prediction model in this study was 0.803, and the calibration curve showed that the result of predicting lymph node metastasis was highly consistent with actual observations.ConclusionsFpAR>0.018, NLR>3.631, CEA>4.620 U/mL, CA199>21.720 U/mL and T staging are independent risk factors for lymph node metastasis. The nomogram can accurately predict the risk of lymph node metastasis in patients with colorectal cancer before surgery, and provide certain assistance in the formulation of clinical diagnosis and treatment plans.
ObjectiveTo predict the probability of lymph node metastasis after thoracoscopic surgery in patients with lung adenocarcinoma based on nomogram. MethodsWe analyzed the clinical data of the patients with lung adenocarcinoma treated in the department of thoracic surgery of our hospital from June 2018 to May 2021. The patients were randomly divided into a training group and a validation group. The variables that may affect the lymph node metastasis of lung adenocarcinoma were screened out by univariate logistic regression, and then the clinical prediction model was constructed by multivariate logistic regression. The nomogram was used to show the model visually, the receiver operating characteristic (ROC) curve, calibration curve and clinical decision curve to evaluate the calibration degree and practicability of the model. ResultsFinally 249 patients were collected, including 117 males aged 53.15±13.95 years and 132 females aged 47.36±13.10 years. There were 180 patients in the training group, and 69 patients in the validation group. There was a significant correlation between the 6 clinicopathological characteristics and lymph node metastasis of lung adenocarcinoma in the univariate logistic regression. The area under the ROC curve in the training group was 0.863, suggesting the ability to distinguish lymph node metastasis, which was confirmed in the validation group (area under the ROC curve was 0.847). The nomogram and clinical decision curve also performed well in the follow-up analysis, which proved its potential clinical value. ConclusionThis study provides a nomogram combined with clinicopathological characteristics, which can be used to predict the risk of lymph node metastasis in patients with lung adenocarcinoma with a diameter≤3 cm.