The Prognostic Ability of Log Odds of Positive Lymph Nodes in Oral Cavity Squamous Cell Carcinoma

Evaluation of the prognostic performance of different cutoff values of lymph node ratio staging system for stage III colorectal cancer

This study attempted to compare the prognostic performance of lymph node ratio (LNR) staging system with different cutoff values relative to American Joint Committee on Cancer (AJCC) pN staging system in stage III colorectal cancer (CRC). Overall, 45,069 patients from the SEER dataset and 69 patients from the Second Affiliated Hospital of Nanjing Medical University (the External set) who underwent surgical resection of the primary tumor and were diagnosed with stage III CRC by postoperative pathology were included. Patients were divided into three subgroups based on the LNR cutoff used in previous studies, Kaplan-Meier curves were plotted, and log-rank test was used to compare the differences among groups in terms of cancer-specific survival (CSS). Cox regression model was applied for survival analysis. To evaluate the discriminatory power of different lymph node staging systems, Harrell's C statistic(C-index) and Akaike's Information Criterion (AIC) were applied. A set of optimal cutoff values (0.11; 0.36; 0.66) of LNR staging system with the most considerable discriminatory power to the prognosis in patients with stage III CRC (SEER set: C-index = 0.714; AIC = 58,942.46, External set: C-index = 0.809; AIC = 164.36) were obtained, and both were superior to the AJCC pN staging system (SEER set: C-index = 0.708; AIC = 59,071.20, External set: C-index = 0.788; AIC = 167.06). For evaluating the prognostic efficacy of patients with stage III colorectal cancer, the cutoff value (0.11; 0.36; 0.66) of LNR staging system had the best discrimination and prognostic ability, which was superior to LNR staging system under other cutoff values and AJCC pN staging system.

A 3 M Evaluation Protocol for Examining Lymph Nodes in Cancer Patients: Multi-Modal, Multi-Omics, Multi-Stage Approach

Through meticulous examination of lymph nodes, the stage and severity of cancer can be determined. This information is invaluable for doctors to select the most appropriate treatment plan and predict patient prognosis; however, any oversight in the examination of lymph nodes may lead to cancer metastasis and poor prognosis. In this review, we summarize a significant number of articles supported by statistical data and clinical experience, proposing a standardized evaluation protocol for lymph nodes. This protocol begins with preoperative imaging to assess the presence of lymph node metastasis. Radiomics has replaced the single-modality approach, and deep learning models have been constructed to assist in image analysis with superior performance to that of the human eye. The focus of this review lies in intraoperative lymphadenectomy. Multiple international authorities have recommended specific numbers for lymphadenectomy in various cancers, providing surgeons with clear guidelines. These numbers are calculated by applying various statistical methods and real-world data. In the third chapter, we mention the growing concern about immune impairment caused by lymph node dissection, as the lack of CD8 memory T cells may have a negative impact on postoperative immunotherapy. Both excessive and less lymph node dissection have led to conflicting findings on postoperative immunotherapy. In conclusion, we propose a protocol that can be referenced by surgeons. With the systematic management of lymph nodes, we can control tumor progression with the greatest possible likelihood, optimize the preoperative examination process, reduce intraoperative risks, and improve postoperative quality of life.

Comparison of alternative N-staging models in patients with oral cancer. Is nodal yield or burden the most critical parameter?

BACKGROUND

There is increasing evidence in the literature that alternative N-classification systems offer a simpler and more precise risk stratification than the current N- classification in patients with oral squamous cell carcinoma. The purpose of this study is to compare three broadly proposed models incorporating lymph node ratio, log odds of positive lymph nodes and number of positive lymph nodes regarding disease-free and overall survival.

METHODS

This is a retrospective study of patients treated in a single center between 2013 and 2019. Cox proportional hazard models, Kaplan Meier curves, the long rank test and the area under the curve were implemented to compare the risk-stratification ability of the three models. Moreover, a hazard ratio plot was calculated to investigate the association between nodal yield and disease-free survival.

RESULTS

231 patients were included. All three proposed N-models were significantly correlated to the patient's prognosis in the multivariate analysis. Pairwise comparisons between the groups showed that the current pN classification offers the worst stratification and that the model incorporating the number of positive lymph nodes had a better performance for predicting both endpoints. Finally, a decrease in hazard ratio was observed with each additional lymph node removed up to the number of 39 lymph nodes.

CONCLUSIONS

The model incorporating the nodal burden offered a better predictive ability. The current N-classification cannot adequately identify patients with different prognosis. A non-linear relationship was found between nodal yield and survival, which could be the disadvantage of the lymph node ratio and log odds models.

Influence of different methods for classification of lymph node metastases on the survival of patients with oral squamous cell carcinoma

BACKGROUND

Despite the advances in the classification of oral squamous cell carcinoma (OSCC) based on its extension by the TNM system, there is still a need for methods to better classify the patients to predict prognosis and indicate adjuvant therapy.

OBJECTIVES

To analyze the influence of the number of positive lymph nodes (PN), lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS) in survival of patients with OSCC.

METHODS

Clinicopathologic data from patients with OSCC who were treated with curative purposes by surgery and neck dissection (ND) with or without subsequent adjuvant therapies from 1991 to 2015 was retrospectively assessed. The impact of the PN, LNR, LODDS, and other variables on overall survival (OS) and disease-free survival (DFS) was analyzed in univariate and multivariate analyses.

RESULTS

One hundred nineteen patients were included in this study. In the univariate analysis the PN had a significant impact on OS (p = 0.001) and DFS (p = 0.020), and the LNR had a significant impact on the OS (p = 0.042). In the multivariate analysis with other relevant clinicopathologic variables, the PN was the only significantly independent factor influencing in the OS (p = 0.017) but not in DFS (p = 0.096).

CONCLUSIONS

The PN is an independent prognostic indicator for OS and DFS in patients with OSCC and has the potential to aggregate the current AJCC classification. The LNR has potential to be an important prognostic indicator, but the methods for this classification require lapidation. The LODDS did not demonstrate prognostic potential.

Lymph Node Ratio as a Prognostic Factor in Neck Dissection in Oral Cancer Patients: A Systematic Review and Meta-Analysis

Simple Summary

Lymph node ratio (LNR) is a well-studied prognostic factor in colorectal and breast cancer, and it has been recently evaluated as a clinically relevant biomarker in oral squamous cell carcinoma. LNR represents the ratio of positive lymph nodes extracted in a neck dissection to the total number of nodes harvested (lymph node yield, LNY). Many single-center cohort studies and a few multicenter have assessed the significance of LNR as a prognostic factor in oral cancer. In this systematic review and meta-analysis of 32 studies and 20,994 oral cancer patients, we demonstrate that LNR is an independent prognostic indicator in patients with oral squamous cell carcinoma.

Abstract

Many studies have evaluated the clinical implications of lymph node ratio (LNR) as a prognostic factor in patients with oral squamous cell carcinoma (OSCC). The main purpose of this systematic review and meta-analysis was to address LNR as a prognosticator in patients with OSCC. A systematic search was conducted in the following databases: PubMed, EMBASE, Google Scholar, OpenGrey, Cochrane library, and ClinicalTrials.gov, and studies between 2009 and 2020 were sought. The pooled relative risk was calculated along with 95% confidence intervals for the following endpoints: overall survival (OS), disease-free survival (DFS), disease-specific survival (DSS), distant metastasis-free survival (DMFS), locoregional disease-free survival (LRDFS), local recurrence-free survival (LRFS), and recurrence-free survival (RFS) according to the random-effects model (Der Simonian–Laird approach). Subgroup and meta-regression analyses were performed as well. Finally, 32 cohort studies were eligible, which included 20,994 patients with OSCC. Patients were subdivided into two categories, group YES (studies that included in their analysis only patients with positive lymph nodes) and group NO (studies that did not exclude LNR = 0 patients). In the group YES, patients with high LNR had shorter OS (RR = 1.68, 95% CI: 1.47–1.91), DFS (RR = 1.68, 95% CI: 1.42–1.99), DSS (RR = 1.94, 95% CI: 1.56–2.42), DMFS (RR = 1.83, 95% CI: 1.13–2.96), LRDFS (RR = 1.55, 95% CI: 1.10–2.20), and LRFS (RR = 1.73, 95% CI: 1.41–2.13) compared to patients with low LNR. In the group NO, patients with high LNR in comparison had shorter OS (RR = 2.38, 95% CI: 1.99–2.85), DFS (RR = 2.04, 95% CI: 1.48–2.81), and DSS (RR = 2.90, 95% CI: 2.35–3.57) compared to patients with low LNR. Based on those findings, LNR might be an independent prognostic factor for OS in patients with OSCC and could be incorporated into future classification systems for better risk stratification.

Towards an Improved Pathological Node Classification for Prognostic Stratification of Patients With Oral Cavity Squamous Cell Carcinoma: Results From a Nationwide Registry Study

Background

To assess the prognostic significance of different nodal parameters [i.e., number of pathologically positive nodes, log odds of positive lymph nodes, lymph node ratio (LNR), and extra-nodal extension (ENE)] in Taiwanese patients with oral cavity squamous cell carcinoma (OCSCC), and to devise an optimized pN classification system for predicting survival in OCSCC.

Methods

A total of 4287 Taiwanese patients with first primary OCSCC and nodal metastases were enrolled. Cox proportional hazards regression analysis with the spline method was applied to identify the optimal cut-off values for LNR, log odds of positive lymph nodes, and number of pathologically positive nodes.

Results

On multivariable analysis, we identified a LNR ≥0.078/0.079, the presence of at least three pathologically positive nodes, and ENE as independent prognosticators for 5-year disease-specific survival (DSS) and overall survival (OS) rates. We therefore devised a four-point prognostic scoring system according to the presence or absence of each variable. The 5-year DSS and OS rates of patients with scores of 0−3 were 70%/62%/50%/36% (p <0.0001) and 61%/52%/40%25%, respectively (p <0.0001). On analyzing the AJCC 2017 pN classification, patients with pN3a displayed better survival rates than those with pN2 disease. The 5-year DSS and OS rates of patients with pN1/pN2/pN3a/pN3b disease were 72%/60%/67%/43% (p <0.0001) and 63%/51%/67%/33%, respectively (p <0.0001).

Conclusions

Three nodal parameters (i.e., a LNR ≥0.078/0.079, the presence of at least three pathologically positive nodes, and ENE) assessed in combination provided a better prognostic stratification than the traditional AJCC pN classification.

Lymph node ratio as a predictor for minor salivary gland cancer in head and neck

Background

We investigate whether pathological continuous variables of lymph nodes were related with survival results of carcinomas of minor salivary gland carcinoma in head and neck.

Methods

Forty-four cases with minor salivary gland carcinoma who underwent both primary resection and neck dissection were retrospectively enrolled. The pathological continuous variables were evaluated by the number of positive lymph nodes, lymph node ratio, and log odds of positive lymph nodes. Receiver operating curve analysis was used for the cut-off values of the carcinoma-specific death. Log-rank test and Cox’s proportional hazards model were used for uni−/multi-variate survival analyses adjusting for pathological stage, respectively.

Results

Lymph node ratio = 0.05 as well as log odds of positive lymph nodes = − 2.73 predicted the carcinoma-specific death. Both lymph node ratio and log odds of positive lymph nodes were significantly related with survival outcomes by the univariate analysis. Lymph node ratio ≥ 0.05 was associated with shorter disease-specific (hazard ratio = 7.90, 95% confidence interval = 1.54–57.1), disease-free (hazard ratio = 4.15, 95% confidence interval = 1.48–11.2) and overall (hazard ratio = 4.84, 95% confidence interval = 1.05–24.8) survival in the multivariate analysis.

Conclusion

A higher lymph node ratio of minor salivary gland carcinoma is a predictor of shorter survival results.

Is the addition of extranodal extension and lymph node yield of pN0 to the lymph node ratio useful as a prognostic parameter for patients with oral squamous cell carcinoma?

We investigated the value of the weighted lymph node ratio (WLNR), a new marker in pN0 patients that incorporates the number of metastatic lymph nodes with extranodal extension and the lymph node yield, for the prognosis and postsurgical management of oral squamous cell carcinoma (OSCC). We designed a retrospective study and enrolled patients with OSCC who were treated by neck dissection (ND). The predictor variable was WLNR, and the outcome variable was overall survival (OS). The Cox proportional-hazards model was used to identify independent prognostic factors. In 133 patients with OSCC, the WLNR cut-off value for predicting OS was 0.0363 (area under the curve 0.723, p<0.001). When stratified according to WLNR, there was a significant difference in OS (88.4% for low WLNR and 63.0% for high WLNR, p<0.001). Univariate analyses showed close associations between OS and age, dissection area, postoperative management, extranodal extension, number of positive lymph nodes, pN stage, WLNR, and nodal disease area. Cox multivariate analysis identified the WLNR as an independent predictive factor for OS (HR 3.273, 95% CI 1.227 to 8.731, p=0.018). As a predictive factor, a high WLNR (≥0.0363) in patients with pN0 disease, which included the addition of extranodal extension and lymph node yield to the LNR, was associated with diminished survival.

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.

Comparing prognostic utility between the 8th edition of TNM staging system and the lymph node ratio for oral squamous cell carcinoma

BACKGROUND

Lymph node metastasis in oral squamous cell carcinoma (OSCC) is associated with poor prognosis. The 8th edition of TNM has implemented new nodal staging criteria. We assess the prognostic utility of the lymph node ratio (LNR) and compare it to that of pN in the TNM 8th edition.

METHODS

One hundred and forty-two patients with OSCC were retrospectively studied. Nodal staging was performed using the TMN 8th edition and the prognostic value of the LNR in terms of overall survival (OS) and disease-free survival (DFS) was evaluated.

RESULTS

Fifty-seven patients were eligible for inclusion. The LNR was independently prognostic of OS (p = 0.02). Instead N classification was not significantly predictive of OS (p = 0.10). High LNRs resulted in decreases in OS of approximately 40% within 6 months after surgery.

CONCLUSIONS

The LNR identifies patients with poor outcomes better than N classification. The lack of reliable LNR cutoffs compromises its utility in clinical practice.

The Prognostic Value of Lymph Node Burden in Oral Cavity Cancer: Systematic Review and Meta-Analysis

OBJECTIVES

Lymph node burden has been proposed to estimate the cumulative adverse effect of nodal metastasis. In this study, a meta-analysis was conducted to evaluate the prognostic value of lymph node burden in oral cavity squamous cell carcinoma.

STUDY DESIGNS

Systemic review and meta-analysis.

METHODS

PubMed, EMBASE and the Cochrane Library as well as manual searches were performed until April 2020. The adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) of overall survival, disease-specific survival, and disease-free survival were extracted and pooled.

RESULTS

Eleven included studies were published between 2009 and 2019. The cumulative number of patients was 20,607 (range 35-14,554). Extranodal extension was adjusted or evaluated in all of the studies. The meta-analysis indicated that a higher lymph node burden was significantly related to worse overall survival (HR 2.62, 95% CI 2.12-3.25), worse disease-specific survival (HR 3.14, 95% CI 1.85-5.33) and worse disease-free survival (HR 2.30, 95% CI 1.62-3.26). The highest hazard ratio was observed when the cutoff value was 3 for overall survival, 3 for disease-specific survival, and 4 for disease-free survival. The hazard ratio showed an upward trend before the cutoff value of 3 but no significant incremental change when the cutoff exceeded 3.

CONCLUSIONS

In oral squamous cell carcinoma, lymph node burden is an independent prognosticator for survival outcomes. However, more prospective or high-quality studies are required to determine the optimal cutoff.

LEVEL OF EVIDENCE

NA Laryngoscope, 2021.

Comparison of different lymph node staging systems in patients with positive lymph nodes in oral squamous cell carcinoma

OBJECTIVES

The evaluation of neck lymph node metastasis is critical for predicting survival after head and neck cancer treatment. However, traditional pathological N staging does not completely correlate with survival; the total number of lymph nodes resected during surgery affects staging, and a minimal number of nodes must be resected to achieve a superior outcome. Thus, the prognostic abilities of various lymph node staging systems for oral cavity squamous cell carcinoma (OSCC)-positive lymph nodes were compared.

MATERIALS AND METHODS

Data for 639 patients with OSCC-positive nodes who were treated and monitored at the Changhua Christian Hospital were retrospectively analyzed. The different N staging systems were compared to evaluate their disease-free survival (DFS) predictability.

RESULTS

The areas under the receiver operating characteristic curve were as follows: 0.551 for the traditional American Joint Committee on Cancer (AJCC) N staging, 0.60 for lymph node density (LND), 0.596 for log odds of positive lymph nodes (LODDS), and 0.597 for the number of metastatic lymph nodes (nmLN). The LND, LODDS, and nmLN systems could predict DFS better than AJCC N staging. Multivariable analysis for DFS revealed that extranodal spread, level IV or V positive nodes, and tumor invasion deeper than 13 mm were independent prognostic factors in these four models. LND and LODDS predicted DFS better than pathological N staging.

CONCLUSION

LND and LODDS staging predicted DFS better than AJCC N staging for OSCC-positive nodes. In the future, the prognostic ability of AJCC staging may be strengthened by LND or LODDS staging.

Log odds of positive lymph nodes as an independent predictor of overall survival in oral squamous cell carcinoma

Context:

Log odds of positive lymph nodes (LODDS) have been recently demonstrated as a very promising staging model and have outperformed AJCC pN, lymph node ratio (LNR) category in major cancers. Literature is scarce concerning the prognostic ability of LODDS in oral squamous cell carcinoma (OSCC) patients.

Aims:

The present study was aimed to evaluate the importance of LODDS in predicting locoregional recurrence and overall survival (OS) in patients with OSCC compared to LNR.

Settings and Design:

The retrospective study was carried out on 194 patients with OSCC cases treated by surgery ± adjuvant therapy from 2008 to 2014 at our institution.

Subjects and Methods:

Demographical and clinicopathological details of study cases were recorded. LNR and LODDS were calculated and expressed as a percentage and mean ± standard deviation.

Statistical Analysis Used:

The OS analysis was done by the Kaplan–Meier curve followed by log-rank (mantel-cox) test. Univariate and multivariate survival analysis was done to analyze the prognostic ability of LNR% and LODDS after adjusting the clinicopathological parameters by the Cox proportional hazards model.

Results:

Patients with cut off values of LODDS >−1.2 and LNR% >4 had significantly lower mean OS (P ≤ 0.001). Multivariate analysis indicated that only mean LODDS >−1.2 was significantly associated with poor OS. Although there was a correlation with locoregional recurrence, LODDS and LNR failed to be the independent predictors of locoregional recurrence.

Conclusions:

LODDS was an independent reliable prognostic indicator for patients with OSCCs than conventional staging systems and LNR.

Weighted lymph node ratio: New tool in the assessment of postoperative staging of the neck dissection in HPV-negative head and neck squamous cell carcinoma patients

BACKGOUND

The objective of this study is to assess a new parameter, the weighted lymph node ratio (WLNR), which incorporates prognostic information regarding the number of metastatic nodes with extracapsular spread and the lymph node yield for pN0 patients to the lymph node ratio.

METHODS

We studied retrospectively 1118 patients with head and neck squamous cell carcinoma (HNSCC) treated with a neck dissection.

RESULTS

We obtained a classification with four categories based on the WLNR values. WLNR classification had a higher prognostic discrimination capacity and a more homogeneous distribution in the number of patients included in each of the categories than the pTNM classification.

CONCLUSION

The WLNR improved the predictive capacity of the eighth edition of the pTNM classification and it can be a useful tool in the assessment of the postoperative staging of the neck dissections in HNSCC patients.

Prognostic capacity of the lymph node ratio in squamous cell carcinomas of the head and neck

INTRODUCTION AND OBJECTIVES

Lymph node density or lymph node ratio (LNR), defined as the quotient between the total number of positive lymph nodes and the total number of dissected lymph nodes, has demonstrated a prognostic capacity in several tumour models, including patients with head and neck squamous cell carcinomas (HNSCC). The aim of the present study is to analyse the prognostic value of LNR in a wide cohort of patients with HNSCC.

METHODS

We carried out a retrospective study of a cohort of 1,311 patients with HNSCC treated with unilateral or bilateral neck dissections. Of the patients included in the study, 55.0% had lymph node metastases (pN+). We proceeded to calculate the value of the LNR, and its categorization through a recursive partition analysis considering specific survival as the dependent variable.

RESULTS

Three categories were defined according to the value of the LNR with a cut-off point at the values < of .025 and .118. The 5-year specific survival for patients with an LNR less than .025 (n=654, 49.8%) was 87.2%, for patients with a LNR .025-.118 (n=394, 30.1%) it was 51.6%, and for patients with a LNR greater than .188 (n=263, 20.1%) it was 27.3% (P=.0001). According to the results of a multivariate analysis, the LNR significantly related to specific survival.

CONCLUSION

The LNR can be a prognostic variable to be considered in the pathological staging of the lymph nodes.

Log Odds of Positive Lymph Nodes is Not Superior to the Number of Positive Lymph Nodes in Predicting Overall Survival in Patients With Oral Squamous Cell Carcinomas

PURPOSE

It is unclear whether the log odds of positive lymph nodes (LODDS) outperforms the number of positive lymph nodes (LN+) in predicting the overall survival (OS) of oral squamous cell carcinoma (OSCC) patients. The specific aim of this study was to compare the prognostic predictive performance of LN+ with LODDS in OSCC patients.

MATERIALS AND METHODS

This prospective cohort study was conducted in Fujian, China, from December 2005 to January 2017. Patients' characteristics and clinicopathologic data were obtained through medical records, and follow-up data were obtained by telephone interviews. Cox proportional hazards models were used to evaluate the association between LN+ or LODDS and OS in OSCC. Finally, the Harrell concordance index, Akaike information criterion, and area under the receiver operating characteristic curve were adopted as criteria for assessing the predictive performance of lymph node models.

RESULTS

For all 706 patients, the 5-year survival rate was 65.69% (95% confidence interval, 0.61 to 0.70) and the mean age at diagnosis was 57.32 ± 11.80 years. Of the patients, 456 were men and 250 were women (ratio of 1.82:1). LN+ and LODDS were significantly associated with a poor prognosis of OSCC patients (all P values for trend < .001). Furthermore, the prognostic value of LODDS was not better than that of LN+. An interesting finding was that there was a J-shaped relationship between the number of negative lymph nodes and OS. The hazard ratio was reduced with each additional negative lymph node dissected up to 24 negative lymph nodes, with no improvement in prognosis beyond this number. Moreover, when the number of negative lymph nodes was greater than 40, the negative lymph nodes suggested a worse prognosis for OSCC patients.

CONCLUSIONS

Our study suggests that the discriminatory capability of LODDS was not superior to that of LN+. An interesting finding was that, when the number of negative lymph nodes was greater than 40, the predictive power of LODDS was reduced tremendously.

Log Odds Could Better Predict Survival in Muscle-Invasive Bladder Cancer Patients Compared with pN and Lymph Node Ratio

Background: The aim of this study was to assess the prognostic value of lymph node-associated variables, pN, lymph node ratio (LNR) and log odds (LODDS), in patients with bladder cancer.

Methods: In the discovery cohort, 3358 patients with muscle-invasive bladder cancer (MIBC) and treated with radical cystectomy were identified from the Surveillance, Epidemiology, and End Results (SEER) database. A total of 173 patients with MIBC who underwent radical cystectomy at Shanghai Cancer Center between 2010 and 2013 were enrolled in the validation cohort. LNR and LODDS were calculated in two cohorts and prognostic value was compared between these two variables.

Results: In the two cohorts, survival differences between LODDS, LNR and pN (from the 7^th AJCC TNM system) cohorts were statistically significant. Univariate and multivariate analyses confirmed that LNR and LODDS were independent prognostic factors and LODDS was better at predicting prognosis than pN and LNR for patients with MIBC. Moreover, LODDS had a better discriminative ability and model fit, proven by the highest Harrell's concordance index and lowest AIC among the three variables. Furthermore, scatter plots of pN, LNR and LODDS revealed that several groups of LNR and pN were heterogeneous and could be better stratified by LODDS in terms of prognosis estimation.

Conclusion: LODDS has significant prognostic value for patients with MIBC. Moreover, LODDS is better at predicting prognosis for MIBC patients compared with pN and LNR.

Recommendation for incorporation of a different lymph node scoring system in future AJCC N category for oral cancer

To compare the prognostic value of 3 different lymph node scoring systems " log odds of positive nodes (LODDS), lymph node ratio (rN), and lymph node yield " in an effort to improve the staging of oral cancer. We identified 3958 oral cancer patients from Surveillance, Epidemiology, and End Results database from 2007 to 2013. In univariate analysis, LODDS, pN, rN, and lymph node yield were prognostic factors for 5-year disease-specific survival (DSS) and overall survival (OS). Multivariate analysis indicated that patients with LODDS 4 had worst 5-year DSS and OS. Stage migration occurred in pN1 and pN2 patients with LODDS 4. In pN1 patients, those with LODDS 4 had the worst 5-year DSS (41.2%) and OS (31.6%) than patients with pN1 and LODDS 2-3. In pN2 patients, those with LODDS4 had the worst 5-year DSS (34.5%) and OS (27.4%) than patients with pN2 and LODDS 2-3. The proposed staging system, which incorporates LODDS with AJCC pN, had better discriminability and prediction accuracy for predicting survival. We also noted that patients with LODDS 4 given adjuvant radiotherapy had better 5-year DSS and OS. The LODDS should be considered as a future candidate measurement for N category in oral cancer.

Comparison of three lymph node classifications for survival prediction in distant metastatic gastric cancer

BACKGROUND

The optimal lymph node (LN) classification system for prognostic assessment in distant metastatic gastric cancer (DMGC) patients who undergo LN dissection remains unclear. Therefore, we compared the prognostic performance of positive LN (PLN), LN ratio (LNR), and log odds of positive LNs (LODDS) in DMGC patients.

METHODS

A total of 1999 DMGC patients who underwent lymphadenectomy recorded in the Surveillance Epidemiology and End Results database from 2004 to 2012 were reviewed.

RESULTS

Univariate analyses showed that the PLN, LNR and LODDS systems were all significantly correlated with cancer-specific survival (CSS). However, only the LODDS classification remained an independent prognostic factor through the multivariate analysis. Furthermore, this classification could efficiently discriminate survival outcomes in patients within the same positive PLN category, as well as in patients with no positive node involvement. Both the LODDS and LNR classifications had better discriminatory ability, monotonicity, and homogeneity of prognostic stratification, as well as more accurate 1 or 2-year CSS prediction, than the PLN classification. The performances of the LNR and LODDS classifications were similar. Additionally, we found that inclusion of PORT carried a survival benefit across all LODDS intervals except the "LODDS ≤ -1.0" subgroup.

CONCLUSION

Our findings indicate that the LODDS classification is the most optimal system for prognostic assessment in DMGC patients. Incorporating LODDS into the staging system of DMGC patients will enable clinicians to more accurately predict prognosis and guide regional therapy regimen decisions in DMGC patients.

Which is the most suitable lymph node predictor for overall survival after primary surgery of head and neck cancer: pN, the number or the ratio of positive lymph nodes, or log odds?

PURPOSE

To investigate the best lymph node (LN) metastasis predictor for overall survival (OS) in head neck cancer (HNC): pN classification, number of positive lymph nodes (PNOD), lymph node ratio (LNR), or log odds of positive lymph nodes (LODDS).

METHODS

In total, 225 surgically treated HNC patients were evaluated for the different LN classifications and OS.

RESULTS

Five-year OS was 71.8 %. Mean number of yielded LN and PNOD was 25.3 ± 16.7 and 2.7 ± 5.9, respectively. 64.8 % had a LNR > 0.10 and 64.4 % a LODDS > 10. In univariable analysis, multimodal therapy (p = 0.039), advanced pT (p < 0.0001), advanced UICC stage (p = 0.029), LNR > 0.10 (p = 0.049), and LODDS > -1.0 (p = 0.021) were associated with lower OS. In multivariable analysis, advanced pT [hazard ratio (HR) 2.194; 95 % confidence interval (CI) 1.294-3.722; p = 0.004] and LODDS > -1.0 (HR 1.634; 95 % CI 1.002-2.665; p = 0.059) remained independent predictors for lower OS.

CONCLUSIONS

It seems useful to analyze the prognostic significance of LODDS in other samples of HNC.