The Prognostic Value of the Number of Negative Lymph Nodes Combined with Positive Lymph Nodes in Esophageal Cancer Patients: A Propensity-Matched Analysis

Prognostic Relevance of Negative Lymph Node Count in Resected Stage I-IIIa Small-cell Lung Cancer

OBJECTIVES

The prognostic significance of the negative lymph node (NLN) count has been confirmed in various cancers but not in small-cell lung cancer (SCLC). We aimed to evaluate the correlation between the NLN count and the prognosis of patients with stages I-IIIa SCLC who underwent lobectomy.

METHODS

Data on the clinical characteristics of SCLC patients who underwent lobectomy between 2000 and 2019 were collected from the SEER database and organized based on the X-tile plots to identify the optimal cutoff point for the NLN count. Kaplan-Meier curves and a Cox proportional hazard model were used to evaluate the prognostic factors for overall survival (OS) and lung cancer-specific survival.

RESULTS

Based on the X-tile plot-determined cutoff points of 3 and 7, the participants were grouped into the low (<3), middle (3-7), and high (>7) NLN subgroups for the analysis of OS. Univariable analysis showed that a higher NLN count correlated with more favorable OS and lung cancer-specific survival (both P <0.001). Multivariate analysis demonstrated that, after adjustment for related factors, the NLN count was positively associated with the prognosis and might thus be an independent risk factor for prognosis. Subgroup analyses revealed that, among different LN statuses and varied positive LN counts, the NLN count could predict the prognosis independently.

CONCLUSIONS

Higher NLNs correlated with better survival for patients who underwent lobectomy of stages I-IIIa SCLC. A predictive marker that combines the NLN count with the N stage and positive LN count could provide more prognostic information in SCLC.

Prognostic nomogram for cancer-specific survival in patients with intrahepatic cholangiocarcinoma after hepatectomy: A population study of 919 patients

Background and Aims

Intrahepatic cholangiocarcinoma has an increasing global incidence and mortality rate. Hepatectomy is still the most effective curative treatment for patients with ICC, but the prognosis of patients with ICC is still poor even after curative resection. This study aimed to incorporate important factors obtained from SEER database to construct and validate a nomogram for predicting the cancer-specific survival of patients with ICC after hepatectomy.

Methods

We obtained patient data from SEER database. The nomogram was constructed base on six prognostic factors for predicting CSS rates in ICC patients. The nomogram was validated by C-index, ROC curve and calibration curves.

Results

A total of 919 patients with ICC after hepatectomy between 2000 and 2018 were included in this study. A nomogram based on six independent prognostic factors (Black race, AJCC T, AJCC N, AJCC M, chemotherapy and PLNR ≥ 0.15) was developed for the prediction of CSS at 3 and 5 years. The C-index of the nomogram and AJCC stage system were 0.709 and 0.657 in the training cohort respectively. The 3- and 5-year AUCs of nomogram were 0.744 and 0.75 in the training cohort. The calibration plots indicated that there was good agreement between the actual observations and predictions.

Conclusions

In conclusion, we constructed and validated a nomogram for predicting the 3- and 5-year CSS in ICC patients after hepatectomy. We have confirmed the precise calibration and acceptable discrimination power of our nomogram. The predictive power of this nomogram may be improved by considering other potential important factors and also by external validation.

The Role of Tumor Microenvironment in Invasion and Metastasis of Esophageal Squamous Cell Carcinoma

Esophageal squamous cell carcinoma (ESCC) is one of the most common cancers in the world, with a high rate of morbidity. The invasion and metastasis of ESCC is the main reason for high mortality. More and more evidence suggests that metastasized cancer cells require cellular elements that contribute to ESCC tumor microenvironment (TME) formation. TME contains many immune cells and stromal components, which are critical to epithelial–mesenchymal transition, immune escape, angiogenesis/lymphangiogenesis, metastasis niche formation, and invasion/metastasis. In this review, we will focus on the mechanism of different microenvironment cellular elements in ESCC invasion and metastasis and discuss recent therapeutic attempts to restore the tumor-suppressing function of cells within the TME. It will represent the whole picture of TME in the metastasis and invasion process of ESCC.

Postoperative survival effect of the number of examined lymph nodes on esophageal squamous cell carcinoma with pathological stage T1–3N0M0

Background

The postoperative survival effect of the number of examined lymph nodes on patients of R0-resected esophageal squamous cell carcinoma with pathological stage T1–3N0M0 is still unclear.

Methods

Patients diagnosed with pathological stage T1–3N0M0 esophageal squamous cell carcinoma from two cancer databases—our cancer center (N = 707), and Surveillance Epidemiology and End Results (N = 151). The primary clinical endpoint was overall survival. The X-tile software was used to determine the optimal cutoff value of the number of examined lymph nodes, and propensity score matching was conducted to reduce selection bias according to the results of X-tile software. The cohort of 151 patients from another database was used for validation.

Results

X-tile software provided an optimal cutoff value of 15 examined lymph nodes based on 707 patients, and 231 pairs of matched patients were included. In the unmatched cohort, Cox proportional hazard regression analysis revealed better overall survival in patients with more than 15 examined lymph nodes (adjusted hazard ratio, 0.566, 95% confidence interval, 0.445–0.720; p < 0.001) compared with patients with 15 or fewer examined lymph nodes. In the validation cohort, patients with more than 15 examined lymph nodes also had better overall survival (adjusted hazard ratio 0.665, p = 0.047).

Conclusions

The number of examined lymph nodes is a significant prognostic factor in esophageal squamous cell carcinoma patients with pathological stage T1–3N0M0, and more than 15 examined lymph nodes are associated with better overall survival. Although the difference is not significant, the survival curve of patients with examined lymph nodes > 30 is better than those with examined lymph nodes 15–30. We believe that the number of examined lymph nodes can provide prognostic guidance for those patients, and the more examined lymph nodes cause lesser occult lymph nodes metastasis and lead to a better prognosis. Therefore, surgeons and pathologists should try to examine as many lymph nodes as possible to evaluate the pathological stage precisely. However, we need more validation from other studies.

The prognostic performance of the log odds of positive lymph nodes in patients with esophageal squamous cell carcinoma: A population study of the US SEER database and a Chinese single-institution cohort

Background

The purpose of this study was to assess the prognostic performance of the log odds of positive lymph nodes (LODDS) value compared with the pathological N stage and lymph node ratio (LNR) in patients with esophageal squamous cell carcinoma (ESCC).

Method

In total 1144 patients diagnosed with ESCC from the Surveillance, Epidemiology, and End Results (SEER) database and 930 patients from our validation cohort were eligible. Kaplan–Meier plotter and multivariate Cox proportional hazards models were conducted to investigate the prognostic value of the N stage, LNR stage, and LODDS stage. The homogeneity, discriminatory ability, and monotonicity of these variables were evaluated using the linear trend χ² test, likelihood ratio χ² test, Akaike information criterion (AIC), and consistency index (C‐index) to determine the potential superiorities.

Results

The prognostic LODDS cutoff values were determined to be −1.49 and −0.55 (p < 0.001). Univariate analyses showed significant association among the N, LNR, and LODDS stages and overall survival of the patients (all p < 0.001). Multivariate analyses confirmed that the LODDS stage remained an independent prognostic indicator in both the SEER database and our validation cohort. Subgroup analyses identified the ability of LODDS stage to distinguish heterogeneous patients within various groups in both independent databases. Furthermore, the model with the highest C‐index and smallest AIC value was the one incorporating the LODDS stage among the three investigated nodal classifications of both cohorts.

Conclusion

The novel LODDS stage demonstrated better prognostic performance than the traditional N or LNR stages in ESCC patients. It can serve as an auxiliary factor to improve prognostic performance and can be applied to evaluate the lymph node status to increase the precision of staging and evaluation of survival.

The Number of Harvested LNs Is an Independent Prognostic Factor in Lymph Node Metastasis-negative Patients Who Received Curative Esophagectomy

BACKGROUND/AIM

The aim of the present study was to evaluate the optimal number of harvested LNs (LNs) in patients who were LN metastasis-negative after curative esophagectomy for esophageal cancer.

PATIENTS AND METHODS

Sixty-one patients who underwent curative surgery for esophageal cancer between 2005 and 2017 and diagnosed as lymph node metastasis-negative were included in this study.

RESULTS

The 5-year overall survival rates were 27.8% for 0-20 harvested LNs, 35.7% for 21-30 harvested LNs, 79.4% for 31-40 harvested LNs, and 85.2% for ≥41 harvested LNs. Thirty harvested LNs was regarded as the optimal critical point of classification, considering the 5-year OS rate. The number of harvested LNs was selected as a significant prognostic factor in both univariate and multivariate analyses. The respective 3- and 5-year OS rates were 50.3% and 36.7% for <30 harvested LNs and 82.4% and 82.4% for ≥30 harvested LNs (p=0.003).

CONCLUSION

Thirty or more harvested LNs was a significant prognostic factor in patients with metastasis-negative LNs after curative esophagectomy for esophageal cancer. Therefore, the number of harvested LNs might be useful for predicting the LN metastasis status in esophageal cancer.

A prognostic model for stratification of stage IB/IIA esophageal squamous cell carcinoma: a retrospective study

Background

To explore the postoperative prognosis of esophageal squamous cell carcinoma (ESCC) patients with stage IB/IIA, using a prognostic score (PS).

Methods

Stage IB/IIA ESCC patients who underwent esophagectomy from 1999 to 2010 were included. We retrospectively recruited 153 patients and extracted their medical records. Moreover, we analyzed the programmed death ligand-1 (PD-L1) expression of their paraffin tissue. The cohort were randomly divided into a training group (N = 123) and a validation group (N = 30). We selected overall survival (OS) as observed endpoint. Prognostic factors with a multivariable two-sided P < 0.05 met standard of covariate inclusion.

Results

Univariable and multivariable analyses identified pTNM stage, the number of lymph nodes (NLNs) and PD-L1 expression as independent OS predictors. Primary prognostic score which comprised above three covariates adversely related with OS in two cohorts. PS discrimination of OS was comparable between the training and internal validation cohorts (C-index = 0.774 and 0.801, respectively). In addition, the PS system had an advantage over pTNM stage in the identification of high-risk patients (C-index = 0.774 vs. C-index = 0.570, P < 0.001). Based on PS cutoff, training and validation datasets generated low-risk and high-risk groups with different OS. Our three-factor PS predicted OS (low-risk subgroup vs. high-risk subgroup 60-month OS, 74% vs. 23% for training cohort and 83% vs. 45% for validation cohort).

Conclusion

Our study suggested a PS for significant clinical stratification of IB/IIA ESCC to screen out subgroups with poor prognosis.

Optimal Range of Lymphadenectomy in Pathological Stage T1 and T2 Esophageal Squamous Cell Carcinoma

BACKGROUND

Lymph node metastasis is a primary contributor to tumor progression in esophageal squamous cell carcinoma (ESCC), and the optimal extent of lymphadenectomy during esophagectomy remains controversial. This study aimed to investigate the appropriate number of lymph nodes to be dissected in pT1-2Nany stage ESCC to achieve the best prognosis and avoid missing positive lymph nodes (PLNs).

METHODS

A total of 497 patients with pT1 to pT2 esophageal cancer from two institutions were retrospectively analyzed and their surgical and pathological records were critically reviewed. Stepwise analyses were conducted by calculating a serial of hazard ratios and odd ratios to determine the optimal range of lymphadenectomy for overall survival (OS).

RESULTS

The best survival outcome can be obtained when the number of lymph node examined (NLNE) is 10-18 in pT1N0 ESCC, while the NLNE should exceed 24 in pT2N0 diseases. In patients with pT1-2Nany and pT2Nany ESCC, resection of 15-25 and 24-37 lymph nodes, respectively, could provide significant added value for identifying positive nodal metastasis. When the NLNE exceeds this appropriate range, resection of extra lymph node is not helpful to improve the probability of finding PLNs.

CONCLUSIONS

For ESCC patients undergoing radical esophagectomy, the optimal extent of lymphadenectomy is 15-25 for pT1Nany disease and 24-37 for pT2Nany disease.

Ratio between negative and positive lymph nodes is a novel prognostic indicator for patients with esophageal cancer: A Surveillance, Epidemiology and End Results database analysis

Background

The aim of this study was to explore whether the ratio between negative and positive lymph nodes (R_NP) could predict the overall survival (OS) of esophageal cancer (EC) patients with lymph node metastasis following esophagectomy.

Methods

We utilized the Surveillance, Epidemiology and End Results (SEER) database to include the records of 2374 patients with lymph node metastases post‐surgery. All patients were randomly assigned into the training cohort (n = 1424) and validation cohort (n = 950). Multivariate Cox regression analyses were performed to identify independent prognostic factors. A novel R_NP ‐based TR_NPM staging system was proposed. The prognostic value of N, R_NP, TNM and TR_NPM staging system was evaluated using the linear trend χ² test, likelihood ratio χ² test, and Akaike information criterion (AIC) to determine the potential superiorities. We constructed nomograms to predict survival in both cohorts, and the calibration curves confirmed the predictive ability.

Results

Univariate analyses showed that N and R_NP stage significantly influenced the OS of patients. Multivariate analyses revealed that R_NP was an independent prognostic predictor in both the training and validation cohorts. For the stratification analysis in the two cohorts, we found significant differences in the prognosis of patients in different R_NP groups on the basis of the different N stages and the number of dissected lymph nodes. In addition, the lower AIC value of R_NP stage and TR_NPM staging system represented superior predictive accuracy for OS than the N stage and TNM staging system, respectively. Furthermore, the calibration curves for the probability of three‐ and five‐year survival showed good consistency between nomogram predictive abilities and actual observation.

Conclusions

We demonstrated that compared to the classical pathological lymph nodal staging system, the R_NP stage showed superior predictive accuracy for OS and can serve as a more effective prognostic guidance for lymph node positive EC patients.