[Positive lymph node ratio ≥0.16 is an independent risk factor affecting the prognosis of patients with esophageal cancer]

Patterns of regional lymph node metastasis predict postoperative overall survival and disease-free survival in locally advanced esophageal squamous cell carcinoma

Background

Lymph nodal characteristics are highly significant in predicting the survival of patients with esophageal squamous cell carcinoma (ESCC). However, there is currently a scarcity of studies examining their role in locally advanced ESCC. In the present study, we attempted to depict the patterns of regional lymph node metastasis and investigate their predictive potential in locally advanced ESCC.

Methods

Patients with locally advanced ESCC underwent esophagectomy at the Department of Thoracic Surgery, The First Affiliated Hospital of Shantou University Medical College were included. Kaplan-Meier curve was used to compare the survival differences between groups. Cox regression was constructed to screen the independent risk factors.

Results

A total of 439 patients were included. We identified 10% as the optimal cutoff value for positive lymph node ratio (PLNR) with X-tile software. Statistically significant differences were found in both overall survival (OS, P<0.001) and disease-free survival (DFS, P<0.001) among different PLNR groups. PLNR [hazard ratio (HR): 1.85, P<0.001] and metastatic lymph nodes along the left gastric artery (HR: 1.63, P=0.02) were the independent prognostic factors for OS. While PLNR (HR: 1.77, P<0.001) and metastatic total main bronchus lymph nodes (HR: 2.78, P=0.047) were the independent prognostic factors for DFS.

Conclusions

We discovered that higher PLNR is associated with poorer OS and DFS of locally advanced ESCC. The lymph nodes along the left gastric artery and the total main bronchus lymph nodes were independent prognosticators for OS and DFS, respectively.

Positive lymph node ratio is an important index to predict long-term survival for advanced esophageal squamous carcinoma patients (II∼III) with R0 resection--a SEER-based analysis

Background

Esophageal squamous carcinoma (ESCC) is one of the most malignant cancers in the world due to nodal metastasis. Therefore, a reasonable nodal staging system is extremely important for further treatment strategies. Recently the positive lymph node ratio (PLNR) is an important prognostic factor in various solid tumors.

Method

In this study, we investigated the clinical significance of the PLNR in stage II∼III ESCC patients. We collected the pathological characteristics of 272 stage II∼III ESCC patients from the SEER database from 2004-2016. ROC curves were used to calculate the best cutoff value of the PLNR; Pearson's Chi-square (χ2) and Fisher's exact probability tests were used to compare the clinical baseline and characteristics of patients. For continuous variables, Student's t-test and ANOVA were performed to evaluate statistical significance. Clinical outcomes were estimated by using the Kaplan‒Meier method and log-rank test. Furthermore, univariate and multivariate Cox regression models were utilized to analyze independent prognostic factors of ESCC patients.

Results

Consequently, advanced ESCC patients were effectively stratified into two groups by prognosis using a PLNR cutoff value of 0.15 (P value = 0.04). The median survival time of patients with PLNR <0.15 (n = 145) was much higher than that of patients (n = 127) in the PLNR ≥0.15 group (20.0 vs. 13.0 months, P value < 0.0001). Notably, the PLNR significantly predicted the prognosis of ESCC patients with stage N1 (P value 0.01) and stage III (P value < 0.001) disease. The multivariate Cox proportional hazard model showed that T stage (HR 1.33, 95 % CI 0.97-1.82), tumor size >45 mm (HR 1.32, 95 % CI 1.02-1.70), N stage (HR 1.41, 95 % CI 0.98-2.01) and PLNR ≥0.15 (HR 1.35, 95 % CI 0.87-1.74) were independent risk factors for prognostic prediction in ESCC patients. Meanwhile, 117 II∼III ESCC patients from Shaanxi Provincial People's Hospital shown that the overall survival with a PLNR <0.15 (n = 96) was significantly longer than that with a PLNR ≥0.15 (n = 21) .

Conclusions

The PLNR is useful for accurately predicting clinical outcomes and determining postoperative strategies.

Prognostic nomograms for lung neuroendocrine carcinomas based on lymph node ratio: a SEER database analysis

Objective

The current study aimed to explore the prognostic value of the lymph node ratio (LNR) in patients with lung neuroendocrine carcinomas (LNECs).

Methods

Data for 1564 elderly patients with LNECs between 1998 and 2016 were obtained from the Surveillance, Epidemiology, and End Results database. The cases were assigned randomly to training (n = 1086) and internal validation (n = 478) sets. The association between LNR and survival was investigated by Cox regression.

Results

Multivariate analyses identified age, tumor grade, summary stage, M stage, surgery, and LNR as independent prognostic factors for both overall survival (OS) and lung cancer-specific survival (LCSS). Tumor size was also a prognostic determinant for LCSS. Prognostic nomograms combining LNR with other informative variables showed good discrimination and calibration abilities in both the training and validation sets. In addition, the C-index of the nomograms was statistically superior to the American Joint Committee on Cancer (AJCC) staging system in both the training and validation cohorts.

Conclusions

These nomograms, based on LNR, showed superior prognostic predictive accuracy compared with the AJCC staging system for predicting OS and LCSS in patients with LNECs.