Development and external validation of a novel nomogram for predicting cancer-specific survival in patients with ascending colon adenocarcinoma after surgery: a population-based study.

BACKGROUND: This study aimed to develop and validate a novel nomogram to predict the cancer-specific survival (CSS) of patients with ascending colon adenocarcinoma after surgery. METHODS: Patients with ascending colon adenocarcinoma were enrolled from the Surveillance, Epidemiology, and End Results (SEER) database from 1973 to 2015 and randomly divided into a training set (5930) and a validation set (2540). The cut-off values for age, tumour size and lymph node ratio (LNR) were calculated via X-tile software. In the training set, independent prognostic factors were identified using univariate and multivariate Cox analyses, and a nomogram incorporating these factors was subsequently built. Data from the validation set were used to assess the reliability and accuracy of the nomogram and then compared with the 8th edition of the American Joint Committee on Cancer (AJCC) tumour-node-metastasis (TNM) staging system. Furthermore, external validation was performed from a single institution in China. RESULTS: A total of 8470 patients were enrolled from the SEER database, 5930 patients were allocated to the training set, 2540 were allocated to the internal validation set and a separate set of 473 patients was allocated to the external validation set. The optimal cut-off values of age, tumour size and lymph node ratio were 73 and 85, 33 and 75 and 4.9 and 32.8, respectively. Univariate and multivariate Cox multivariate regression revealed that age, AJCC 8th edition T, N and M stage, carcinoembryonic antigen (CEA), tumour differentiation, chemotherapy, perineural invasion and LNR were independent risk factors for patient CSS. The nomogram showed good predictive ability, as indicated by discriminative ability and calibration, with C statistics of 0.835 (95% CI, 0.823-0.847) and 0.848 (95% CI, 0.830-0.866) in the training and validation sets and 0.732 (95% CI, 0.664-0.799) in the external validation set. The nomogram showed favourable discrimination and calibration abilities and performed better than the AJCC TNM staging system. CONCLUSIONS: A novel validated nomogram could effectively predict patients with ascending colon adenocarcinoma after surgery, and this predictive power may guide clinicians in accurate prognostic judgement.

Dynamic nomograms combining N classification with ratio-based nodal classifications to predict long-term survival for patients with lung adenocarcinoma after surgery: a SEER population-based study.

BACKGROUND: The prognostic roles of three lymph node classifications, number of positive lymph nodes (NPLN), log odds of positive lymph nodes (LODDS), and lymph node ratio (LNR) in lung adenocarcinoma are unclear. We aim to find the classification with the strongest predictive power and combine it with the American Joint Committee on Cancer (AJCC) 8th TNM stage to establish an optimal prognostic nomogram. METHODS: 25,005 patients with T1-4N0-2M0 lung adenocarcinoma after surgery between 2004 to 2016 from the Surveillance, Epidemiology, and End Results database were included. The study cohort was divided into training cohort (13,551 patients) and external validation cohort (11,454 patients) according to different geographic region. Univariate and multivariate Cox regression analyses were performed on the training cohort to evaluate the predictive performance of NPLN (Model 1), LODDS (Model 2), LNR (Model 3) or LODDS+LNR (Model 4) respectively for cancer-specific survival and overall survival. Likelihood-ratio χ2 test, Akaike Information Criterion, Harrell concordance index, integrated discrimination improvement (IDI) and net reclassification improvement (NRI) were used to evaluate the predictive performance of the models. Nomograms were established according to the optimal models. They're put into internal validation using bootstrapping technique and external validation using calibration curves. Nomograms were compared with AJCC 8th TNM stage using decision curve analysis. RESULTS: NPLN, LODDS and LNR were independent prognostic factors for cancer-specific survival and overall survival. LODDS+LNR (Model 4) demonstrated the highest Likelihood-ratio χ2 test, highest Harrell concordance index, and lowest Akaike Information Criterion, and IDI and NRI values suggested Model 4 had better prediction accuracy than other models. Internal and external validations showed that the nomograms combining TNM stage with LODDS+LNR were convincingly precise. Decision curve analysis suggested the nomograms performed better than AJCC 8th TNM stage in clinical practicability. CONCLUSIONS: We constructed online nomograms for cancer-specific survival and overall survival of lung adenocarcinoma patients after surgery, which may facilitate doctors to provide highly individualized therapy.

Original study: The rescue staging for pancreatic ductal adenocarcinoma with inadequate examined lymph nodes.

BACKGROUND: In previous studies, it's recommended that the lymph node involvement should be evaluated with enough examined lymph nodes (eLNs) in the 8th American Joint Committee on Cancer (AJCC) staging system for pancreatic cancer. This study aims to put forward a rescue staging system for pancreatic ductal adenocarcinoma (PDAC) patients with inadequate eLNs after pancreatoduodenectomy (PD). METHOD: 11,224 PDAC patients undergoing PD in The Surveillance, Epidemiology, and End Results (SEER) database were included. Another Ruijin Pancreatic Disease Center (RJPDC) database consisted of 821 patients was utilized for external validation. RESULTS: The proportions of patients with eLNs≥15 were 44.7% and 32.8% in SEER and RJPDC database separately. The rescue staging system was put forward relying on LNR (HR = 1.83, 95% CI 1.74-1.92, P < 0.001) for N staging of eLNs<15 population and pLNs for the rest. The TNM modalities were also rearranged in the rescue system for better survival coordination. The C-index of rescue staging system was 0.638 while that of AJCC 8th staging system was 0.613 in SEER database. Similar phenomena were observed in RJPDC database. Kaplan-Meier analyses revealed reliable internal coherences (SEER: Ib: P = 0.26; IIa: P = 0.063; IIb: P = 0.53; IIIa: P = 0.11. RJPDC: Ib: P = 0.32; IIa: P = 0.66; IIb: P = 0.76; IIIa: P = 0.66) and significant staging efficiency (SEER: P < 0.001; RJPDC: P = 0.002). CONCLUSION: A rescue staging system was put forward regardless of the eLNs number. And the novel system manifested better predictive capacity than 8th AJCC staging system.

Development of a simplified tumor-lymph node ratio classification system for patients with resected gastric cancer: A western study.

INTRODUCTION: Gastric cancer (GC) shows high recurrence and mortality rates. The AJCC TNM staging system is the best prognostic predictor, but lymph node assessment is a major source of controversy. Recent studies have found that lymph node ratio (LNR) may overcome TNM limitations. Our aim is to develop a simplified tumor-LNR (T-LNR) classification for predicting prognosis of resected GC. METHODS: Retrospective study of all GC resected in a tertiary center in Spain (N = 377). Clinicopathological features were assessed, LNR was classified into N0:0%, N1:1-25%, N2:>25%, and a T-LNR classification was developed. Statistical analyses were performed. RESULTS: 317 patients were finally included. Most patients were male (54.6%) and mean age was 72 years. Tumors were intestinal (61%), diffuse (30.8%) or mixed (8.1%). During follow-up, 36.7% and 27.4% of patients progressed and died, respectively. T-LNR classification divided patients into five prognostic categories (S1-S5). Most cases were S1-S4 (26.2%, 19.9%, 22.6% and 23.6%, respectively). 7.6% of tumors were S5. T-LNR classification was significantly associated with tumor size, depth, macroscopical type, Laurén subtype, signet ring cells, histologic grade, lymphovascular invasion, perineural infiltration, infiltrative growth, patient progression and death. Kaplan-Meier curves for OS showed an excellent patient stratification with evenly spaced curves. As for DFS, T-LNR classification also showed good discriminatory ability with non-overlapping curves. T-LNR classification was independently related to both OS and DFS. CONCLUSIONS: T-LNR classifications can successfully predict prognosis of GC patients. Larger studies in other geographic regions should be performed to refine this classification and to validate its prognostic relevance.

Prognostic significance of the metastatic lymph node ratio compared to the TNM classification in stage III gastric cancer.

BACKGROUND: We aimed to evaluate a comparative analysis of the prognostic value of the metastatic lymph node ratio (LNR) and pN (TNM) in stage III gastric cancer. PATIENTS AND METHODS: A total of 159 stage III gastric cancer patients with curative gastrectomy were retrospectively analyzed. Cutoff values for LNR were designated according to 25%, 50% and 75% percentiles, 0.07, 0.20 and 0.44 respectively. The LNR was divided into four groups as 0 > LNR1 ≤ 0.07; 0.07 > LNR2 ≤0.20; 0.20 > LNR3 ≤0.44; 0.44 > LNR4 ≤1. RESULTS: The mean age of the patients was 61.1 ± 11.3 years. Male predominance was apparent (73.6%). The 1-year overall survival and recurrence rates were 73.6% and 33.6%, respectively. The univariate cox regression analysis demonstrated age and LNR were the main variables that affected overall survival (OS) (p < 0.05). Harvested lymph nodes less than 16 did not affect OS (p = 0.255). The results of the multivariate cox regression analysis revealed that only LNR was an independent prognostic factor (P < 0.001), while pN was not (p > 0.05). Similar results, as with overall survival, could not be revealed clearly for disease free survival (DFS). CONCLUSIONS: LNR was an independent significant prognostic factor and superior to pN staging in predicting OS but not for DFS in stage III gastric cancer patients. The high LNR levels in our research were found to be associated with poor survival rates. The percentile system we used to determine cutoff values may be considered as a reliable method. Similarly, LNR also provides a reliable prognostic parameter in future staging systems to help guide treatment algorithm plans.

Ratio-based staging systems are better than the 7th and 8th editions of the TNM in stratifying the prognosis of gastric cancer patients: A multicenter retrospective study.

BACKGROUND: The current and the previous editions of the tumor-node-metastasis (TNM) system for gastric cancer (GC; TNM8 and TNM7) have a high risk of stage-migration bias when the node count after gastrectomy is suboptimal. Hence, they are possibly not the optimal staging systems for GC patients. This study aims to compare the TNM with two systems less affected by the stage-migration bias, namely, the lymph nodes ratio (LNR) and the log odds of positive lymph nodes (LODDS), to assess which one is the best in stratifying the prognosis of GC patients. METHODS: The sample study included 1221 GC patients. Two 7-cluster staging systems based on the combination of pT categories and LNR and LODDS categories (TLNR and TLODDS) were compared with the two last editions of TNM, using the Akaike information criteria, the Bayesian information criteria, and the receiver operating characteristic (ROC) curve graphs. Further validation on an independent sample of 251 patients was carried out. RESULTS: The univariable and multivariable analyses and the ROC curves detected an advantage of the TLNR and TLODDS systems over the TNM. The TLNR and TLODDS showed the best accuracy both in the subgroup of patients with ≥16 nodes examined. The results were confirmed in the validation analysis. CONCLUSIONS: TLNR and TLODDS staging systems should be considered a valid implementation of the TNM for the prognostic stratification of GC patients. If these results are confirmed in further studies, the future implementation of the TNM should consider the introduction of the LNR or the LODDS along with the number of metastatic nodes.

Comparison of different prognostic models for predicting cancer-specific survival in bladder transitional cell carcinoma.

OBJECTIVE: To construct the newly valuable nomogram which can compare the predictive performance with American Joint Committee on Cancer (AJCC) staging system in bladder transitional cell carcinoma (BTCC). METHODS: BTCC patients were screened (2004-2015) from the SEER database. The nomogram incorporating lymph node ratio was constructed to evaluate individualized cancer-specific survival. RESULTS: The C-index of the nomogram for predicting cancer-specific survival was 0.743 (95% CI: 0.720-0.766), which was higher than C-index of the AJCC staging system. CONCLUSION: Lymph node ratio can be a reliable prognostic indicator for BTCC. The proposed nomogram showed more satisfactory predictive accuracy and wider applicability than current AJCC staging system in individualized prediction of BTCC patients.

Analysis of recurrence after the resection of pancreatic neuroendocrine tumors.

BACKGROUND AND OBJECTIVES: Outcomes after recurrence of resected pancreatic neuroendocrine tumors (PNETs) are not well described. We aim to assess the rate and sites of recurrence, and its effect on clinical outcomes. METHODS: Retrospective chart review of patients (n = 83) who underwent surgical resection of PNETs at 2 institutions. Patients were treated from September 2002 to July 2010. RESULTS: There were 13 (16%) recurrences. The most common site of recurrence was the liver (9 patients, 9.6%). The most common treatment of recurrences was chemotherapy (5 patients, 36%). The 1-, 3-, and 5-year disease-free survival was 90.9%, 82.7%, and 72.5%, respectively. Median recurrence-free survival was 127 months. The median follow-up for all PNET patients was 25.8 months (range, 1-140 months). The 3-year survival was 97%. The median follow-up of patients after the diagnosis of a recurrence was 13.8 months. The overall survival for those with and without recurrence was 96.3% and 100%, respectively (P = .36). The age ( P = .002) and lymph node ratio ( P < .001) were predictors of recurrence on multivariate analysis. CONCLUSIONS: Age and lymph node ratio are significant predictors of recurrence after the resection of PNETs with hepatic metastases being the most common. Survival of patients with recurrence is not significantly different from patients without recurrence.

The prognostic value of different node staging systems in patients with ≤15 lymph nodes following surgery for gastric adenocarcinoma.

AIM: Lymph node (LN) status is an important prognostic indicator in patients with gastric cancer (GC). Although American Joint Committee on Cancer/International Union against Cancer (AJCC/UICC) is the most widely used staging system, there is a challenge in predicting survival of patients when the number of total harvested LNs is ≤15. Our aim was to investigate the prognostic performances of seventh edition AJCC/UICC, lymph-node ratio (LNR), and log odds of metastatic lymph nodes (LODDS) on the overall survival (OS) of GC patients with ≤15 examined LNs after gastric resection. MATERIAL AND METHOD: A total of 74 patients who underwent curative resection for gastric adenocarcinoma and had ≤15 LNs at the final histopathological examination were included in the study. The prognostic ability of three node staging models to predict OS was assessed using the area under the curve (AUC). RESULTS: Of the 74 patients, 15 (20.3%) had no LN metastasis whereas 59 (79.7%) had nodal involvement. The median OS was 26 months. When assessed as a continuous variable, LNR was the strongest staging system to stratify GC patients on the basis of LN status. LODDS had superiority on other node staging models when the number of LNs retrieved was modeled as categorical variable. CONCLUSIONS: LNR (continuous) and LODDS (categorical) were the strongest indicators of OS in GC when the number of LN harvested was ≤15. Therefore, they may be considered as an alternative nodal staging systems for GC.

A long non-coding RNA signature to improve prognosis prediction of gastric cancer.

BACKGROUND: Increasing evidence suggests long non-coding RNAs (lncRNAs) are frequently aberrantly expressed in cancers, however, few related lncRNA signatures have been established for prediction of cancer prognosis. We aimed at developing alncRNA signature to improve prognosis prediction of gastric cancer (GC). METHODS: Using a lncRNA-mining approach, we performed lncRNA expression profiling in large GC cohorts from Gene Expression Ominus (GEO), including GSE62254 data set (N = 300) and GSE15459 data set (N = 192). We established a set of 24-lncRNAs that were significantly associated with the disease free survival (DFS) in the test series. RESULTS: Based on this 24-lncRNA signature, the test series patients could be classified into high-risk or low-risk subgroup with significantly different DFS (HR = 1.19, 95 % CI = 1.13-1.25, P < 0.0001). The prognostic value of this 24-lncRNA signature was confirmed in the internal validation series and another external validation series, respectively. Further analysis revealed that the prognostic value of this signature was independent of lymph node ratio (LNR) and postoperative chemotherapy. Gene set enrichment analysis (GSEA) indicated that high risk score group was associated with several cancer recurrence and metastasis associated pathways. CONCLUSIONS: The identification of the prognostic lncRNAs indicates the potential roles of lncRNAs in GC biogenesis. Our results may provide an efficient classification tool for clinical prognosis evaluation of GC.

Risk factors associated with recurrence of surgically resected node-positive non-small cell lung cancer.

PURPOSE: The aim of this study was to identify risk factors for recurrence in non-small cell lung cancer (NSCLC) patients with lymph node metastases after surgical resection. METHODS: We reviewed 66 consecutive patients with surgically resected NSCLC who had pathologically proven positive lymph nodes (pN1 or pN2). All patients underwent a preoperative 2-[(18)F]-fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET) evaluation. We analyzed the recurrence-free survival (RFS) and recurrence-free proportion (RFP) according to the clinicopathological factors. RESULTS: A total of 27 patients were pathologically N1 and 39 were N2. The 5-year overall survival rate and the RFS rate were 47.2 and 27.7 %, respectively. The cut-off values for the SUVmax of the tumor and the lymph node ratio (LNR) were determined to be 6.5 and 0.12, respectively, using a receiver operating characteristics curve analysis. Both univariate and multivariate analyses revealed three significant independent factors for RFS: namely, the SUVmax of the tumor, the LNR, and the use of adjuvant chemotherapy. Only the SUVmax was an independent significant predictor of the RFP. CONCLUSIONS: Both the SUVmax and the LNR can serve as prognostic factors for patients with pN + NSCLC. Our study suggests that the LNR could be a stronger prognostic factor than the N classification of the TNM system and the SUVmax may predict recurrence in node-positive NSCLC patients.

A predictive model for patients with local-regionally advanced oropharyngeal squamous cell carcinoma treated after cervical lymph node dissection.

PURPOSE: To develop a nomogram to predict the cancer-specific survival of patients with local-regionally advanced oropharyngeal squamous cell carcinoma after cervical lymph node dissection. METHODS: The clinical variables of patients confirmed as having oropharyngeal squamous cell carcinoma between 2008 and 2015 were retrieved from the Surveillance, Epidemiology and End Results database. Univariate and multivariate analysis were performed, followed by the construction of nomograms for CSS. Nomogram' accuracy was evaluated through the concordance index, calibration curves and decision curve analysis. RESULTS: A total of 1994 oropharyngeal squamous cell carcinoma patients who underwent surgery were included in this study. Sex, T-stage, American Joint Committee on Cancer-stage, positive lymph nodes, positive lymph node ratio, log odds of positive lymph nodes, and postoperative radiotherapy were selected to establish the nomogram for oropharyngeal squamous cell carcinoma. The concordance index of the nomogram was 0.747 (95% CI 0.714-0.780) in the training calibration cohort and 0.735 (95% CI 0.68-0.789) in the validationcohort and the time-dependent Area under the curve (> 0.7) indicated satisfactory discriminative ability of the nomogram. The calibration plot shows that there is a good consistency between the predictions of the nomogram and the actual observations in the training and validation cohorts. In addition, decision curve analysis showed that the nomogram was clinically useful and had a better ability to recognize patients at high risk than the American Joint Committee on Cancer tumor-node-metastasis staging. CONCLUSION: The predictive model has the potential to provide valuable guidance to clinicians in the treatment of patients with locoregionally advanced OPSCC confined to the cervical lymph nodes.

Exploring the most appropriate lymph node staging system for node-positive breast cancer patients and constructing corresponding survival nomograms.

BACKGROUND: The lymph node (LN) status is a crucial prognostic factor for breast cancer (BC) patients. Our study aimed to compare the predictive capabilities of three different LN staging systems in node-positive BC patients and develop nomograms to predict overall survival (OS). METHODS: We enrolled 71,213 eligible patients from the SEER database, and 667 cases from our hospital were used for external validation. All patients were divided into two groups based on the number of removed lymph nodes (RLNs). The prognostic abilities of pN stage, positive LN ratio (LNR), and log odds of positive LN (LODDS) were compared using the C-indexes and AUC values. LASSO regression was performed to identify significant factors associated with prognosis and develop corresponding nomogram models. RESULTS: Our study found that LNR had superior predictive performance compared to pN and LODDS among patients with RLNs < 10, while pN performed better in patients with RLNs ≥ 10. In the training set, the nomogram models exhibited excellent clinical applicability, as evidenced by the C-indexes, ROC curves, calibration plots, and decision curve analysis curves. Moreover, the nomogram classification accurately differentiated risk subgroups and improved discrimination. These results were externally validated in the validation cohort. CONCLUSION: Physicians should select different LN staging systems based on the number of RLNs. Our novel nomograms demonstrated excellent performance in both internal and external validations, which may assist in patient counseling and guide treatment decision-making.

Inguinal Lymph-Node Ratio (LNR) as a predictor of Pelvic Lymph-Node Metastasis in squamous cell carcinoma of penis.

OBJECTIVE: To determine the predictors of pelvic lymph-node metastasis in cases of squamous cell carcinoma (SCC) of penis. METHODS: Data was retrospectively collected from 267 cases of SCC penis that presented at our institute between 2009 and 2019. Univariate and multivariate logistic regression models were used to identify independent significant factors. Receiver Operating Characteristic (ROC) curve was used to determine the cut-off of Lymph-Node Ratio (LNR) and discriminative ability of new model. Survival analysis was done using Kaplan Meier Curve. RESULTS: Pelvic Lymph-Node Metastasis (PLNM) was pathologically detected in 56 groins (29.2%). A cut-off of 0.25 was calculated for LNR based on ROC. LNR >0.25 (p = 0.003), ENE (p = 0.037), and LVI (p = 0.043) were found significant on multivariate logistic regression. 71.5% showed PLNM in groins with positive LN (PLN) 0.25 whereas no PLNM was seen in groins with PLN >2 but LNR 0.25, LVI and, ENE are independent predictors of PLNM. The discriminative ability of LNR was better than PLN. PLND could be avoided if no risk factors are present.

Effect of Community Nutrition Rehabilitation Using a Multi-Ingredient Flour on the Weight Growth of Moderately Acute Malnourished Children in Benin.

Childhood malnutrition remains a public health problem in Benin. This study aimed to assess the nutritional potential of complementary food resources to accelerate the weight growth of moderately malnourished children hosted in learning and nutritional rehabilitation centers (LNRs) in eight municipalities in Benin. A multi-ingredient infant flour (i.e., FARIFORTI), composed of 35% corn flour (Zea mays), 15% malted sorghum (Sorghum bicolor), 30% soybean (Glycine max), 10% shelled and roasted peanuts (Arachis hypogeaea), 7% baobab pulp (Adansonia digitata), and 2% dried fried fish (Stolothrissa tanganyicae), was tested with 289 moderately malnourished children aged 6 to 59 months, selected in LNR sessions. Children were given the FARIFORTI flour porridge over 12 days (based on LNR protocol) in addition to other dishes based on local food resources. The weight and height of the children were measured at entry and at the end of the LNR sessions. The sensory evaluation indicated that the FARIFORTI flour was well-accepted by mothers (97%) and children (98%). The FARIFORTI porridge provided significantly higher intakes of carbohydrates and iron in children with weight gain compared to children without weight gain.

Lymph node ratio predicts recurrence-free survival and disease-specific survival of patients with pyriform sinus squamous cell carcinoma.

OBJECTIVE: This study assessed positive lymph node ratio (LNR) as a prognostic marker for patients with pyriform sinus cancer. METHODS: The present study retrospectively analyzed 101 patients with pyriform sinus cancer to determine the association of LNR with recurrence-free survival (RFS) and disease-specific survival (DSS). RESULTS: The patients were followed up for a median duration of 28 months (range: 6-196 months). The number of median dissected lymph nodes (LNs) was 41, and the number of median positive LNs was three. The receiver operating characteristic curve revealed an LNR cut-off value of 8.6%. Lymphovascular invasion (LVI) or perineural invasion (PNI) (P = 0.001), thyroid gland invasion (TGI, P = 0.000), positive LNs >4 (P = 0.036), and LNR >8.6% (P = 0.008) were significantly associated with poor RFS, and LVI or PNI (P = 0.005), tumor pT3/T4 stage (P = 0.028), positive LNs >4 (P = 0.033), TGI (P = 0.001), and LNR >8.6% (P = 0.003) were significantly associated with poor DSS. The multivariate analysis revealed that LVI or PNI (P = 0.010), TGI (P = 0.000), and LNR >8.6% (P = 0.022) were independent predictors for poor RFS, while tumor pT3/T4 stage (P = 0.049), TGI (P = 0.015), and LNR >8.6% (P = 0.001) were independent predictors for poor DDS. CONCLUSION: LNR and other clinicopathological data can be used to predict the RFS and DSS of pyriform sinus cancer patients.

Prognostic value of axillary lymph node metastases in invasive lobular breast carcinoma.

BACKGROUND: Axillary lymph node involvement is a well-established prognostic factor for recurrence in breast cancer, specifically the number of nodes affected and the ratio of the number of affected nodes to the number of harvested nodes for non-specific invasive breast cancer (invasive ductal carcinoma). However, there is limited information on the impact of lymph node involvement in the case of invasive lobular carcinoma. OBJECTIVES: our study aimed to evaluate the prognostic impact of lymph node involvement on overall survival and distant metastatic-free survival according to the number of nodes affected and the ratio of positive nodes (LNR) for patients managed for invasive lobular carcinoma. METHODS: This is a monocentre, comparative, observational study of patients managed for invasive lobular carcinoma at the Gynaecology Department of the University Hospital Center of Tours between January 1, 2007 and December 31, 2018. The LNR cut-off values used were: low risk if LNR ≤ 0.2; intermediate risk if LNR > 0.2 and ≤ 0.65, and high risk for LNR >0.659. RESULTS: Our study demonstrated a significant difference in overall survival and distant metastasis free survival (p < 0.0001). The 5-years Overall survival was 94 % for N0 patients, 92.4 % for low-risk patients, 85.6 % for intermediate-risk patients and 58.5 % for high-risk patients. The 5-year distant metastasis-free survival was 98.2 % for N0 patients, 95.9 % for low-risk patients, 80.1 % for intermediate-risk patients, and 60.3 % for high-risk patients. Multivariate analysis identified age, invasive lobular histologic type, presence of clinical inflammation, and intermediate and high risk classes of LNR ratio as independent factors affecting overall survival. For metastatic-free survival, the presence of clinical inflammation, the presence of LVSI and the low, intermediate, or high-risk classes of LNR ratio were identified as independent factors. However, age and invasive lobular histologic type did not appear to be independent factors affecting metastatic-free survival. CONCLUSION: Our study highlights the significant prognostic impact of lymph node involvement in patients with invasive lobular carcinoma. The LNR ratio can be used as a reliable predictor of overall survival and metastatic-free survival in these patients.

N, LNR or LODDS: Which Is the Most Appropriate Lymph Node Classification Scheme for Patients with Radically Resected Pancreatic Cancer?

BACKGROUND: Even though numerous novel lymph node (LN) classification schemes exist, an extensive comparison of their performance in patients with resected pancreatic ductal adenocarcinoma (PDAC) has not yet been performed. METHOD: We investigated the prognostic performance and discriminative ability of 25 different LN ratio (LNR) and 27 log odds of metastatic LN (LODDS) classifications by means of Cox regression and C-statistic in 319 patients with resected PDAC. Regression models were adjusted for age, sex, T category, grading, localization, presence of metastatic disease, positivity of resection margins, and neoadjuvant therapy. RESULTS: Both LNR or LODDS as continuous variables were associated with advanced tumor stage, distant metastasis, positive resection margins, and PDAC of the head or corpus. Two distinct LN classifications, one LODDS and one LNR, were found to be superior to the N category in the complete patient collective. However, only the LODDS classification exhibited statistically significant, gradually increasing HRs of their subcategories and at the same time significantly higher discriminative potential in the subgroups of patients with PDAC of the head or corpus and in patients with tumor free resection margins or M0 status, respectively. On this basis, we built a clinically helpful nomogram to estimate the prognosis of patients after radically resected PDAC. CONCLUSION: One LNR and one LODDS classification scheme were found to out-perform the N category in terms of both prognostic performance and discriminative ability, in distinct patient subgroups, with reference to OS in patients with resected PDAC.

Comparison of different lymph node staging systems for predicting prognosis in patients with colon cancer who have undergone surgical resection.

At present, the most widely used lymph node (LN) staging system in colon cancer is number of metastatic LNs in pathological assessment (pN) from the 8th edition of the TNM American Joint Committee on Cancer/Union for International Cancer Control staging system, which considers the number of metastatic LNs, omitting the total number of dissected LNs. The aim of the present study was to compare the prognostic performance of pN with alternative LN staging systems, including LN ratio (LNR) and log odds of positive LNs (LODDS). The clinical and histopathological data of 298 patients with colon cancer who underwent elective surgical resection in a single surgical centre were analysed. LNR and LODDS cut-off values according to two previous studies were selected to separate patients into different subgroups. Univariate and multivariate analyses were performed to distinguish prognostic factors. The three-step multivariate analysis showed that LNR was a superior prognostic indicator compared with pN and LODDS. Additionally, the Akaike Information Criterion, a measure of the relative quality of statistical models, confirmed that LNR displayed the best prognostic performance. Similarly, in a subpopulation of patients with number of dissected LNs (NDLN) ≥12, LNR was the most accurate LN staging system in relation to prognosis. In a subpopulation with NDLN <12, there was no significant difference in LN classification prognosis of 5-year overall survival; however, LNR and LODDS were more independent of NDLN than pN. Among the three LN classifications, LNR is the most accurate LN staging system for predicting prognosis for patients with colon cancer who have undergone surgical resection, particularly those with metastatic LNs subjected to adequate lymphadenectomy.

A detailed analysis of lymph node recurrence in endometrial carcinoma.

Background: The lymph node (LN) is one of the main sites of recurrence in patients with endometrial carcinoma (EC). Literature specifically analyzing LN recurrence (LNR) in EC remains limited in number. Methods: Patients with EC undergoing surgery between 2006 and 2021 in Peking University People's Hospital was included, clinicopathological data of whom were collected and analyzed retrospectively by R 4.0.3. Results: A total of 792 patients were included, with 73 patients having recurrence, among whom 21 patients had LNR. Median recurrence-free survival (RFS) in patients with LNR was 16 [4-39] months. LNR was extensive, with pelvic LNs most commonly involved (9/21). There are various patterns of LNR, with 33.3% (7/21) LN-only recurrence. Multivariable analysis suggested advanced stage, larger tumor diameter and poor histology were independent risk factors for LNR. Patients with LN metastasis (LNM) diagnosed at initial treatment accounted for 47.6% (10/21) of cases with LNR, 60.0% (6/10) of whom had recurrent LNs beyond the region of LNM, 90.0% (9/10) of whom had recurrence nodes overlapping with the range of lymphadenectomy. Uni- and multi-variable analysis suggested lymphadenectomy was not a protective factor for LNR, with both the range and number of LNs harvested considered. Conclusions: LNR is common in patients with EC, with an extensive range and various patterns of recurrence. The International Federation of Gynecology and Obstetrics (FIGO) stage, tumor diameter and histology were independent risk factors for LNR, but lymphadenectomy seemed not a protective factor for LNR.