Additional prognostic value of lymph node ratio over pN staging in different breast cancer subtypes based on the results of 1,656 patients

Prognostic Factors and a Model for Occult Breast Cancer: A Population-Based Cohort Study

Occult breast cancer (OBC) is a special type of breast cancer of an unknown primary origin. Early stage OBC is treated as stage II−III breast cancer. Currently, there are no models for predicting the survival outcomes. Hence, we aimed to evaluate the role of the positive lymph node ratio (PLNR) in OBC and further establish and validate a prognostic nomogram. Patients with stage T0N+M0 breast cancer were enrolled from the Surveillance, Epidemiology, and End Results database. Univariate and multivariate Cox analyses were used to evaluate the effects of prognostic factors on breast-cancer-specific survival (BCSS), and a nomogram was established and validated for OBC. Overall, 843 patients were included, and the 5-year BCSS rate was 92.4%. Patients with a PLNR < 0.54 had better BCSS rates than those with a PLNR ≥ 0.54. The nomogram combined clinicopathological parameters, including the PLNR, pN stage, and estrogen receptor status, and showed a higher accuracy than the TNM staging system in predicting the BCSS. The patients could be stratified into different risk groups based on their prognostic scores. Patients in the low-risk subgroup showed an improved BCSS compared those in the high-risk subgroup. In conclusion, the PLNR is an independent prognostic factor for OBC. The PLNR-based nomogram has a better predictive ability than the TNM staging system and could be of great value for the treatment of OBC and prediction of its prognosis.

Breast Cancer Patients With Positive Apical or Infraclavicular/Ipsilateral Supraclavicular Lymph Nodes Should Be Excluded in the Application of the Lymph Node Ratio System

Aim: Increasing studies have demonstrated lymph node ratio (LNR) to be an accurate prognostic indicator in breast cancer and an alternative to pN staging; however, the AJCC-TNM staging system classified apical or infraclavicular/ipsilateral supraclavicular lymph node-positive (APN(+)) patients with a worse prognosis as the pN3 stage. Until now, different reports on LNR in breast cancer have ignored this possibility. Consequently, it is necessary to discuss the role of APN(+) patients in the LNR system to obtain a precise LNR that predicts the prognosis accurately.

Materials and Methods: We collected data on 10,120 breast cancer patients, including 3,936 lymph node-positive patients (3,283 APN(−) and 653 APN(+) patients), who visited our hospital from 2007 to 2012. Then we applied X-tile analysis to calculate cut-off values and conduct survival analysis and multivariate analysis to evaluate patients’ prognosis.

Results: We confirmed that some APN(+) patients were mis-subgrouped according to previously reported LNR, indicating that APN(+) patients should be excluded in the application of LNR to predict prognosis. Then we applied X-tile analysis to calculate two cut-off values (0.15 and 0.34) for LNR-APN(−) patients and conducted survival analysis and found that LNR-APN(−) staging was superior to pN staging in predicting the prognosis of APN(−) breast cancer patients.

Conclusion: From this study, we conclude that excluding APN(+) patients is the most necessary condition for effective implementation of the LNR system. LNR-APN(−) staging could be a more comprehensive approach in predicting prognosis and guiding clinicians to provide accurate and appropriate treatment.

A prognostic nomogram based on lymph node ratio for postoperative vulvar squamous cell carcinoma from the Surveillance, Epidemiology, and End Results database: a retrospective cohort study

Background

Vulvar carcinoma is a rare gynecological malignancy. The most commonly used staging system for vulvar cancer is the 2009 International Federation of Gynecology and Obstetrics (FIGO) staging system. Nevertheless, it does not incorporate many indispensable prognostic parameters, which prominently influence vulvar cancer patient survival. Thus, the development of a prediction model for evaluating survival prognosis in postoperative vulvar squamous cell cancer patients is of vital importance.

Methods

Data from 2,166 patients with pathologically confirmed diagnosis of vulvar squamous cell carcinoma from 2004 to 2015 were acquired from the Surveillance, Epidemiology, and End Results (SEER) database. Thirty percent of the patients were randomly assigned to the validation group, and the remainder were used to develop the nomogram. Parameters that significantly correlated with overall survival (OS) were used to create the nomogram. Concordance index (C-index), calibration curve, and decision curve analysis (DCA) were used to assess the predictive accuracy and discriminability of the nomogram model. Additionally, the C-index and DCA of the nomogram and the FIGO staging system were compared.

Results

Following multivariate analysis of the training cohort, independent factors for OS, including race, age at diagnosis, marital status, FIGO stage, tumor diameter, and lymph node ratio (LNR), were included in the nomogram model. The calibration curve indicated a high correlation between the nomogram-predicted and observed survival probability. The C-index of the nomogram in the training cohort was 0.772 (95% CI: 0.752–0.792), statistically superior to the C-index value of the FIGO staging system (0.676, 95% CI: 0.654–0.698). In DCA, compared to the FIGO staging system, this nomogram showed a greater net benefit and a wider range of threshold probability. Results were verified by an internal validation cohort.

Conclusions

Our nomogram, based on LNR, showed superior prognostic predictive accuracy compared with the FIGO staging system for predicting OS in postoperative vulvar squamous cell carcinoma patients.

Lymph Node Ratio Predicts Long-Term Survival in Lymph Node-Positive Breast Cancer

Objective

In this study, we aimed to evaluate the prognostic value of axillary lymph node ratio (LNR) for disease-free survival (DFS) in node positive breast cancer (BC) patients with long term follow-up.

Materials and Methods

A total of 179 stage II to III female BC patients, who were followed between December 2001 and January 2019 at the department of medical oncology, were included in this study. Patients were classified into 3 groups based on the LNR as follows; LNR<0.21, LNR=0.21-0.65, and LNR>0.65. SPSS 22 for windows was used for statistical analysis.

Results

The median age was 49 (range, 24-83) years. The numbers of patients with stage II and stage III disease were 81 (45.3%) and 98 (54.7%), respectively. The median number of lymph node (LN) resected and positive LN were 15 (range, 3-48) and 3 (range, 1-29), respectively. There were 90 patients (50.3%) with LNR <0.21, 62 (34.6%) with LNR=0.21-0.65, and 27 (15.1%) with LNR >0.65. The median disease-free survival (DFS) was not reached in patients with LNR <0.21, 81 months in patients with LNR=0.21-0.65, and 43 months in patients with LNR>0.65 (p<0.001). Overall survival (OS) was found to be significantly related to LNR (p=0.042). In patients with LNR<0.21 and LNR=0.21-0.65, the median OS was not reached. In patients with LNR >0.65, the median OS was 101 months. In multivariate analysis, LNR=0.21-0.65 (Hazard ratio [HR], 6.99), LNR>0.65 (HR, 28.99), and HER-2 negativity (HR, 4.64) were the factors associated with DFS (p<0.05).

Conclusion

LNR is a more useful prognostic factor than the pathological lymph node staging for predicting survival in patients with nod-positive BC.

Lymph node ratio in inguinal lymphadenectomy for squamous cell vulvar cancer: Results from the AGO-CaRE-1 study

OBJECTIVE

Lymph node ratio (LNR) can predict treatment outcome and prognosis in patients with solid tumors. Aim of the present analysis was to confirm the concept of using LNR for assessing outcome in patients with vulvar cancer after surgery with inguinal lymphadenectomy in a large multicenter project.

METHODS

The AGO-CaRE-1 study multicenter database was used for analysis. LNR was defined as ratio of number of positive lymph nodes (LN) to the number of resected. Previously established LNR risk groups were used to stratify patients. LNR was investigated with respect to clinical parameters. Univariate and multivariable survival analyses were performed to assess the value of LNR in order to predict overall (OS) and progression-free (PFS) survival.

RESULTS

In total, 1047 patients treated with surgery including inguinal lymph node resection for squamous cell carcinoma of the vulva were identified from the database. Of these, 370 (35.3%) were found to have positive inguinal LN. In total, 677 (64.7%) had a LNR of 0% (N0), 255 (24.4%) a LNR of >0% < 20%, and 115 (11%) a LNR of ≥20%. Patients with higher LNR were found to have larger tumor size (P < .001), advanced tumor stage (P < .001), high tumor grade (P < .001), and deep stromal invasion (P < .001), more frequently. Three-year PFS rates were 75.7%, 44.2%, and 23.1% and three-year OS rates were 89.7%, 65.4%, and 41.9%, in patients with LNRs 0%, >0% < 20%, and ≥20%, respectively (P < .001, P < .001). On multivariable analyses LNR (HR 7.75, 95%-CI 4.01-14.98, P < .001), FIGO stage (HR 1.41, 95%-CI 1.18-1.69, P < .001), and patient's performance status (HR 1.59, 95%-CI 1.39-1.82, P < .001), were associated with PFS. In addition, LNR (HR 12.74, 95%-CI 5.64-28.78, P < .001), and performance status (HR 1.72, 95%-CI 1.44-2.07, P < .001) were also the only two parameters independently associated with OS. LNR generally showed stronger correlation than number of affected LN when comparing the two different multivariable models.

CONCLUSIONS

In women with vulvar cancer LNR appears to be a consistent, independent prognostic parameter for both PFS and OS and allows patient stratification into three distinct risk groups. In survival analyses, LNR outperformed nodal status and number of positive nodes.

Comparison of Different Lymph Node Staging Systems in Patients With Resectable Colorectal Cancer

Background and Objectives: Currently, the United States Joint Commission on Cancer (AJCC) N staging, lymph node positive rate (LNR), and log odds of positive lymph nodes (LODDS) are the main lymph node (LN) staging systems. However, the type of LN staging system that is more accurate in terms of prognostic performance remains controversial. We compared the prognostic accuracy of the three staging systems in patients with CRC and determine the best choice for clinical applications. Methods: From the Surveillance, Epidemiology, and End Results (SEER) database, 56,747 patients were identified who were diagnosed with CRC between 2004 and 2013. Akaike's Information Criterion (AIC) and Harrell's Consistency Index (c-index) were used to assess the relative discriminative abilities of different LN staging systems. Results: In 56,747 patients, when using classification cut-off values for evaluation, the LNR of Rosenberg et al. showed significantly better predictive power, especially when the number of dissected lymph nodes (NDLN) were insufficient. When analyzed as a continuous variable, the LODDS staging system performed the best and was not affected by the NDLN. Conclusions: We suggest that the LNR of Rosenberg et al. should be introduced into the AJCC system as a supplement when the NDLN is insufficient until the optimal LODDS cut-off values are calculated.

Development and validation of a nomogram for predicting survival on the base of modified lymph node ratio in breast cancer patients

BACKGROUND

Axillary lymph node status is one of the most important prognostic factors in breast cancer and previous studies indicated that lymph node ratio (LNR) could better predict the outcome than the counting of positive lymph nodes. In the current study, we evaluated the prognostic effect of modified LNR in breast cancer patients.

METHODS

A total of 3339 breast cancer patients undergoing axillary lymph nodes dissection were enrolled and respectively analyzed. Seventy five percent of participants were randomly selected as training cohort and the remaining 25% were as validation cohort. Univariate and multivariate analyses were performed and the prognostic impact of mLNR was compared with pN staging. A prognostic nomogram was established and externally validated in the validation cohort.

RESULT

In multivariate analysis, both the mLNR and pN staging were independent prognostic factors for breast cancer patients, and the mLNR manifested superior discrimination power than the pN stages regardless of the total number of lymph nodes retrieved and the lymph node status. The nomogram was built including the identified independent prognostic factors and the calibration curves indicated optimal agreement between nomogram prediction and actual observation. The Concordance index (C-index) of the nomogram was statistically higher than that of the TNM system (0.747 vs. 0.711 in training cohort, 0.789 vs. 0.760 in validation cohort, both p < 0.05).

CONCLUSION

Modified LNR is an important prognostic parameter and can predict survival more accurately than pN staging. The novel nomogram could provide individual prediction for breast cancer patients and help clinicians in treatment option making and prognosis evaluation.