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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.
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The postoperative pathological staging system (pTNM) has become an important reference for the selection of various tumor treatment strategies and prognosis evaluation at a global scale, and is a powerful predictor of the prognosis of a variety of solid tumors, but the prognosis is still different in patients with the same pTNM staging. In recent years, studies have confirmed that the negative lymph nodes count (NLNC) is related to the prognosis of a variety of solid tumors. Higher NLNC can improve the prognosis of cancer patients, and NLNC can reduce staging migration, which is expected to be a supplement to the pTNM staging system. This article reviews the value of NLNC in the prognosis of solid tumors.
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Background: The objective of the present study was to optimize the role of adjuvant radiotherapy in lymph node negative cervical cancer treated with radical hysterectomy and pelvic lymph node dissection, and to analyse patterns of failure and complication following surgery and radiotherapy in same patients.Methods: This is retrospective analysis of 98 patients of cancer cervix FIGO Stage IB; IIA treated with radical hysterectomy with bilateral lymphadenectomy and adjuvant radiotherapy between the years 2000 and 2007at our hospital. Among all node negative patients who were operated during this period 97 patients were high risk. [High risk-Two or more of following risk factors: primary tumor size >4 cm, cervical stromal invasion ≥1/2, lymph-vascular space invasion, Unfavorable histology,>].Results: Median follow up: 79 months [6 months to 109 months], Recurrence rate: 13.26% [2 Pelvic and 11 distant recurrence] Pelvic control rate: 98 %Radiotherapy Complications: 4 % [Grade 3-4].Conclusions: Adjuvant radiotherapy following radical hysterectomy in high risk node negative early cervical cancer is effective treatment. It reduces pelvic recurrence with acceptable morbidity.
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Objective@#To evaluate the prognostic value of lymph node metastasis-related indexes in patients with stage N2b colorectal cancer.@*Methods@#Clinicopathologic data of 245 patients with stage N2b colorectal cancer who initially underwent radical operation in Cancer Hospital, Chinese Academy of Medical Sciences between January 2007 and December 2012 were retrospectively analyzed. The prognostic values of several indexes, including number of positive lymph nodes, number of negative lymph nodes, lymph node ratio (LNR) and log odds of positive lymph nodes (LODDS) were analyzed.@*Results@#The 5-year overall survival rate of 245 patients with colorectal cancer was 54.0%, and the 5-year recurrence-free survival rate was 48.5%.Univariate analysis showed that perineural or blood vessel invasion, T stage, postoperative adjuvant therapy, number of positive lymph nodes, number of negative lymph nodes, LNR, and LODDS were significantly associated with the 5-year overall survival of colorectal cancer patients (P<0.05). Multivariate cox regression analysis showed that, number of positive lymph nodes, number of negative lymph nodes, LNR, LODDS were all independent prognostic factors for stage N2b colorectal cancer patients (P<0.05). The areas under the receiver operating characteristic curve (ROC) curves of number of positive lymph node, number of negative lymph nodes, LNR and LODDS were 0.649, 0.667, 0.690 and 0.683, respectively, however, no statistical significance was observed between the number of negative lymph nodes (P=0.622), LNR (P=0.178) or LODDS (P=0.272) and the number of positive lymph nodes.@*Conclusion@#The number of positive lymph nodes, number of negative lymph nodes, LNR and LODDS were all independent prognostic factors for patients with stage N2b colorectal cancer.
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PURPOSE: Lymph node metastasis is an important factor for predicting the prognosis of colorectal cancer patients. However, approximately 60% of patients do not receive adequate lymph node evaluation (less than 12 lymph nodes). In this study, we identified a more effective tool for predicting the prognosis of patients who received inadequate lymph node evaluation. MATERIALS AND METHODS: The number of metastatic lymph nodes, total number of lymph nodes examined, number of negative metastatic lymph nodes (NL), lymph node ratio (LR), and the number of apical lymph nodes (APL) were examined, and the prognostic impact of these parameters was examined in patients with colorectal cancer who underwent surgery from January 2004 to December 2011. In total, 806 people were analyzed retrospectively. RESULTS: In comparison of different lymph node analysis methods for rectal cancer patients who did not receive adequate lymph node dissection, the LR showed a significant difference in overall survival (OS) and the APL predicted a significant difference in disease-free survival (DFS). In the case of colon cancer patients who did not receive adequate lymph node dissection, LR predicted a significant difference in DFS and OS, and the APL predicted a significant difference in DFS. CONCLUSION: If patients did not receive adequate lymph node evaluation, the LR and NL were useful parameters to complement N stage for predicting OS in colon cancer, whereas LR was complementary for rectal cancer. The APL could be used for prediction of DFS in all patients.
Subject(s)
Humans , Colonic Neoplasms , Colorectal Neoplasms , Complement System Proteins , Disease-Free Survival , Lymph Node Excision , Lymph Nodes , Methods , Neoplasm Metastasis , Prognosis , Rectal Neoplasms , Retrospective StudiesABSTRACT
Objective To investigate the correlation between different clinicopathological factors and the recurrence and metastasis of advanced adenocarcinoma of the esophagogastric junction after curative resection,and to analyze the effects of the factors on the prognosis of these patients.Methods The clinical data of 385 patients with advanced adenocarcinoma of the esophagogastric junction who received curative resection at the Affiliated Hospital of Tianjin Medical University from January 2000 to January 2007 were retrospectively analyzed.There were 228 patients did not have tumor recurrence and metastasis (non-recurrence and metastasis group) and 157 patients had tumor recurrence and metastasis (recurrence and metastasis group).Risk factors which might influence postoperative recurrence and metastasis were analyzed using univariate analysis (chi-square test) and multivariate analysis (Logistic regression model).All patients were followed up via out-patient examination or phone call.The survival curve was drawn by Kaplan-Meier method,and the survival analysis was done by Log-rank test.Results The median time for follow-up was 36 months (range,3-108 months).A total of 157 patients had postoperative tumor recurrence and metastasis,and the mean time of tumor recurrence was 17.9 mouths.The results of univariate analysis showed that tumor type,differentiation degree,invasion depth,number of positive and negative lymph nodes,TNM staging were risk factors for the postoperative recurrence and metastasis of adenocarcinoma of the esophagogastric junction after curative resection (x2=5.248,13.493,12.319,18.315,9.704,10.281,P ＜ 0.05).The results of multivariate analysis showed that differentiation degree,invasion depth,number of positive and negative lymph nodes were the independent risk factors influencing the recurrence and metastasis of adenocarcinoma of the esophagogastric junction after curative resection (OR =1.805,1.809,1.520,0.763,P ＜0.05).The numbers of positive lymph nodes in the non-recurrence and metastasis group and the recurrence and metastasis group were 3.86 ± 0.28 and 6.89 ± 0.58,with a significant difference (t =5.118,P ＜ 0.05).The number of negative lymph nodes in the non-recurrence and metastasis group and the recurrence and metastasis group were 14.04 ±0.54 and 10.53 ±0.56,with a significant difference between the 2 groups (t =4.386,P ＜0.05).The 5-year survival rates of patients with the numbers of positive lymph nodes of 0,1-2,3-6 and more than 7 were 46.4％,43.8％,27.1％ and 7.2％,respectively,and the corresponding median survival time were 53,47,35 and 26 months.There was a significant difference in the 5-year survival rate among patients with different numbers of positive lymph nodes (x2 =54.783,P ＜ 0.05).The 5-year survival rates of patients with the number of negative lymph nodes under 9,between 10 and 15 and more than 16 were 22.1％,21.5％ and 45.5％,respectively,and the corresponding median survival time were 28,34,47 months.There was a significant difference in the 5-year survival rate among patients with different numbers of negative lymph nodes (x2=22.814,P ＜ 0.05).Conclusions Tumor type,invasion depth,number of positive and negative lymph nodes are independent risk factors of postoperative recurrence and metastasis of adenocarcinoma of the esophagogastric junction,and the number of positive and negative lymph nodes are important for the prognosis of patients with adenocarcinoma of the esophagogastric junction.