Value of number of negative lymph nodes in predicting the prognosis of patients with esophageal cancer after neoadjuvant therapy and the construction of nomogram prodiction model / 中华消化外科杂志

Objective:To investigate the value of number of negative lymph nodes (NLNs) in predicting the prognosis of patients with esophageal cancer after neoadjuvant therapy and the construction of nomogram prodiction model.Methods:The retrospective cohort study was conducted. The clinicopathological data of 1 924 patients with esophageal cancer after neoadjuvant therapy uploaded to the Surveillance, Epidemiology, and End Results Database of the National Cancer Institute from 2004 to 2015 were collected. There were 1 624 males and 300 females, aged 63 (range, 23?85)years. All 1 924 patients were randomly divided into the training dataset of 1 348 cases and the validation dataset of 576 cases with a ratio of 7:3 based on random number method in the R software (3.6.2 version). The training dataset was used to constructed the nomogram predic-tion model, and the validation dataset was used to validate the performance of the nomogrram prediction model. The optimal cutoff values of number of NLNs and number of examined lymph nodes (ELNs) were 8, 14 and 10, 14, respectively, determined by the X-tile software (3.6.1 version), and then data of NLNs and ELNs were converted into classification variables. Observation indicators: (1) clinicopathological characteristics of patients in the training dataset and the validation dataset; (2) survival of patients in the training dataset and the validation dataset; (3) prognostic factors analysis of patients in the training dataset; (4) survival of patients in subgroup of the training dataset; (5) prognostic factors analysis in subgroup of the training dataset; (6) construction of nomogram prediction model and calibration curve. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. The Kaplan-Meier method was used to draw survival curve and Log-Rank test was used for survival analysis. The COX proportional hazard model was used for univariate and multivariate analyses. Based on the results of multivariate analysis, the nomogram prediction model was constructed. The prediction efficacy of nomogram prediction model was evaluated using the area under curve (AUC) of the receiver operating characteristic curve and the Harrell′s c index. Errors of the nomogram prediction model in predicting survival of patients for the training dataset and the validation dataset were evaluated using the calibration curve. Results:(1) Clinicopathological characteristics of patients in the training dataset and the validation dataset. There was no significant difference in clinicopatholo-gical characteristics between the 1 348 patients of the training dataset and the 576 patients of the validation dataset ( P>0.05). (2) Survival of patients in the training dataset and the validation dataset. All 1 924 patients were followed up for 50(range, 3?140)months, with 3-year and 5-year cumulative survival rate as 59.4% and 49.5%, respectively. The 3-year cumulative survival rate of patients with number of NLNs as <8, 8?14 and >14 in the training dataset was 46.7%, 62.0% and 66.0%, respectively, and the 5-year cumulative survival rate was 38.1%, 52.1% and 59.7%, respectively. There was a significant difference in the survival of these patients in the training dataset ( χ2=33.70, P<0.05). The 3-year cumulative survival rate of patients with number of NLNs as <8, 8?14 and >14 in the validation dataset was 51.1%, 54.9% and 71.2%, respectively, and the 5-year cumulative survival rate was 39.3%, 42.5% and 55.7%, respectively. There was a significant difference in the survival of these patients in the validation dataset ( χ2=14.49, P<0.05). The 3-year cumulative survival rate of patients with number of ELNs as <10, 10?14 and >14 in the training dataset was 53.9%, 60.0% and 62.7%, respectively, and the 5-year cumulative survival rate was 44.7%, 49.1% and 56.9%, respectively. There was a significant difference in the survival of these patients in the training dataset ( χ2=9.88, P<0.05). The 3-year cumulative survival rate of patients with number of ELNs as <10, 10?14 and >14 in the validation dataset was 56.2%, 47.9% and 69.3%, respectively, and the 5-year cumula-tive survival rate was 44.9%, 38.4% and 51.9%, respectively. There was a significant difference in the survival of these patients in the validation dataset ( χ2=9.30, P<0.05). (3) Prognostic factors analysis of patients in the training dataset. Results of multivariate analysis showed that gender, neoadjuvant pathological (yp) T staging, ypN staging (stage N1, stage N2, stage N3) and number of NLNs (8?14, >14) were independent influencing factors for the prognosis of patients with esophageal cancer after neoadjuvant therapy ( hazard ratio=0.65, 1.44, 1.96, 2.41, 4.12, 0.69, 0.56, 95% confidence interval as 0.49?0.87, 1.17?1.78, 1.59?2.42, 1.84?3.14, 2.89?5.88, 0.56?0.86, 0.45?0.70, P<0.05). (4) Survival of patients in subgroup of the training dataset. Of the patients with NLNs in the training dataset, the 3-year cumulative survival rate of patients with number of NLNs as <8, 8?14 and >14 was 61.1%, 71.6% and 76.8%, respectively, and the 5-year cumulative survival rate was 50.7%, 59.9% and 70.1%, respectively. There was a significant difference in the survival of these patients in the training dataset ( χ2=12.66, P<0.05). Of the patients with positive lymph nodes in the training dataset, the 3-year cumulative survival rate of patients with number of NLNs as <8, 8?14 and >14 was 26.1%, 42.9% and 44.7%, respectively, and the 5-year cumulative survival rate was 20.0%, 36.5% and 39.3%, respectively. There was a significant difference in the survival of these patients in the training dataset ( χ2=20.39, P<0.05). (5) Prognostic factors analysis in subgroup of the training dataset. Results of multivariate analysis in patients with NLNs in the training dataset showed that gender, ypT staging and number of NLNs (>14) were independent influencing factors for the prognosis of patients with esophageal cancer after neoadju-vant therapy ( hazard ratio=0.67, 1.44, 0.56, 95% confidence interval as 0.47?0.96, 1.09?1.90, 0.41?0.77, P<0.05). Results of multi-variate analysis in patients with positive lymph nodes in the training dataset showed that race as others, histological grade as G2, ypN staging as stage N3 and number of NLNs (8?14, >14) were independent influencing factors for the prognosis of patients with esophageal cancer after neoadjuvant therapy ( hazard ratio=2.73, 0.70, 2.08, 0.63, 0.59, 95% confidence interval as 1.43?5.21, 0.54?0.91, 1.44?3.02, 0.46?0.87, 0.44?0.78, P<0.05). (6) Construction of nomogram prediction model and calibration curve. Based on the multivariate analysis of prognosis in patients of the training dataset ,the nomogram prediction model for the prognosis of patients with esophageal cancer after neoadju-vant treatment was constructed based on the indicators of gender, ypT staging, ypN staging and number of NLNs. The AUC of nomogram prediction model in predicting the 3-, 5-year cumulative survival rate of patients in the training dataset and the validation dataset was 0.70, 0. 70 and 0.71, 0.71, respectively. The Harrell′s c index of nomogram prediction model of patients in the training dataset and the validation dataset was 0.66 and 0.63, respectively. Results of calibration curve showed that the predicted value of the nomogram prediction model of patients in the training dataset and the validation dataset was in good agreement with the actual observed value. Conclusion:The number of NLNs is an independent influencing factor for the prognosis of esophageal cancer patients after neoadjuvant therapy, and the nomogram prediction model based on number of NLNs can predict the prognosis of esophageal cancer patients after neoadjuvant therapy.

Impact of the number of lymph node examined on the prognosis of esophageal squamous cell carcinoma / 中华消化外科杂志

Objective To investigate the effect of the number of lymph nodes examined (NLNE) on the prognosis of esophageal squamous cell carcinoma (ESCC).Methods The retrospective case-control study was conducted.The clinicopathological date of 628 ESCC patients who underwent radical resection in the Tianjin Medical University Cancer Institute and Hospital from January 2005 to March 2013 was collected.Patients underwent radical resection of ESCC through right thorax.Observation indicators:(1) surgical and postoperative pathological examinations;(2) follow-up and survival situations;(3) effect of NLNE on the prognosis of ESCC;(4) factors analysis affecting prognosis of ESCC patients;(5) subgroup analysis.Follow-up using outpatient examination,telephone interview and mail was performed to detect postoperative survival up to February 2018.Measurement data with skewed distribution were described as M (range).Receiver operating characteristic (ROC) curve analysis was used to determine the appropriate cut-off of the NLNE.The survival curve and survival rate were respectively drawn and calculated by the Kaplan-Meier method,and the survival analysis was done by the log-rank test.Multivariate analysis was done by the Cox proportional hazard model.Results (1) Surgical and postoperative pathological examinations:472 and 156 patients underwent respectively Ivor-Lewis and Mckeown operations.There were 284 patients with tumor diameter ≤ 3.5 cm and 344 patients with tumor diameter ＞ 3.5 cm.The total NLNE was 11 139 for all of the 628 patients,with an average NLNE of 18 per case(range,2-78 per case) and a median NLNE of 16 per case.Of 628 patients,high-,moderate-and low-differentiated tumors were respectively detected in 48,469 and 111 patients;staging T0-1,T2,T3 and T4a of depth of tumor invasion in 30,119,260 and 219 patients;N0,N1,N2 and N3 of degree of lymph node metastasis in 349,173,69 and 37 patients;rN0,rN1,rN2 and rN3 of rate of lymph node metastasis in 349,184,54 and 41 patients.(2) Follow-up and survival situations:all the 628 patients were followed up for 3-144 months,with a median time of 36 months.The 1-,3-and 5-year survival rates were 82.4％,53.7％ and 41.3％,respectively.(3)Effect of NLNE on the prognosis of ESCC:ROC curve showed that the appropriate cut-off value of the NLNE was 16.Using NLNE =16 as a cut-off value,5-year survival rate was respectively 36.7％ in patients with NLNE ＜ 16 and 45.1％ in patients with NLNE ≥ 16,with a statistically significant difference in survival (x2 =9.527,P＜0.05).According to a median NLNE of 23,the patients with NLNE ≥ 16 were further divided into patients with 16 ≤ NLNE ≤ 23 and NLNE ＞ 23.Results showed that 5-year survival rate in patients with NLNE ＜ 16,16 ≤ NLNE ≤ 23 and NLNE ＞ 23 was respectively 36.7％,41.2％ and 50.3％,with a statistically significant difference in survival among them (x2 =10.588,P＜0.05),between patients with NLNE ＜ 16 and 16 ≤ NLNE ≤ 23 (x2 =4.419,P＜0.05).There was no statistically significant difference between patients with 16 ≤ NLNE ≤ 23 and NLNE ＞ 23 (x2 =1.413,P＞0.05).Five-year survival rate in patients with NLNE ≤ 23 and NLNE ＞23 was respectively 38.6％ and 50.3％,with a statisctically significant difference (x2 =5.885,P＜0.05).(4)Factors analysis affecting prognosis of ESCC patients:results of univariate analysis showed that age,smoking history,BMI,tumor diameter,NLNE,depth of tumor invasion,degree and rate of lymph node metastasis were related factors affecting the prognosis of ESCC patients (x2 =5.454,4.875,7.669,10.691,10.588,30.612,59.780,76.565,P＜0.05).Results of muhivariate analysis showed that age,tumor diameter,NLNE,depth of tumor invasion and rate of lymph node metastasis were independent factors affecting the prognosis of ESCC patients [HR=1.268,1.300,0.762,1.354,1.357,95％ confidence interval (CI):1.034-1.556,1.038-1.629,0.662-0.878,1.183-1.549,1.089-1.692,P＜0.05].(5) Subgroup analysis:among 279 patients with lymph node metastasis,5-year survival rate in patients with NLNE ＜ 16,16 ≤ NLNE ≤ 23 and NLNE ＞ 23 was respectively 23.7％,19.4％ and 39.5％,with a statistically significant difference among them (x2 =8.397,P＜0.05),between patients with 16≤ NLNE ≤ 23 and NLNE ＞ 23 (x2=5.425,P＜0.05).There was no statistically significant difference between patients with NLNE ＜ 16 and 16 ≤ NLNE ≤ 23 (x2 =0.389,P＞ 0.05).Five-year survival rate in patients with NLNE ≤ 23 and NLNE ＞ 23 was respectively 21.9％ and 39.5％,with a statisctically significant difference (x2=7.942,P＜ 0.05).Among 349 patients without lymph node metastasis,5-year survival rate in patients with NLNE ＜ 16,16 ≤ NLNE ≤ 23 and NLNE ＞ 23 was respectively 45.6％,60.3％ and 59.2％,with a statistically significant difference among them (x2 =9.755,P＜0.05) and between patients with NLNE ＜ 16 and 16 ≤ NLNE ≤ 23 (x2 =8.208,P＜0.05).There was no statistically significant difference between patients with 16 ≤ NLNE ≤ 23 and NLNE ＞ 23 (x2 =0.284,P＞0.05).Five-year survival rate in patients with NLNE ≤ 23 and NLNE ＞ 23 was respectively 51.1％ and 59.2％,with no statisctically significant difference (x2 =1.147,P＞ 0.05).Conclusions The NLNE is an independent factor affecting the prognosis of ESCC patients,and at least 16 to 23 lymph nodes should be dissected.For patients with lymph node metastasis,and more than 23 lymph nodes should be dissected.For patients without lymph node metastasis,more than 23 lymph nodes dissection cannot obviously improve the prognosis of patients.