Validation of the prognostic performance in various nodal staging systems for gallbladder cancer: results of a multicenter study

A novel nomogram based on log odds of positive lymph nodes to predict survival for non-metastatic gallbladder adenocarcinoma after surgery

The prognosis of non-metastatic gallbladder adenocarcinoma (NM-GBA) patients is affected by the status of metastatic lymph nodes. The purpose of this study was to explore the prognostic value of the log odds of positive lymph nodes (LODDS) and develop a novel nomogram to predict the overall survival in NM-GBA patients. A total of 1035 patients confirmed to have NM-GBA were selected from the Surveillance, Epidemiology, and End Results (SEER) database and further divided into training and validation cohorts. The discrimination and calibration of the nomogram were evaluated using the concordance index (C-index), the area under the time-dependent receiver operating characteristic curve (time-dependent AUC), and calibration plots. The net benefits and clinical utility of the nomogram were quantified and compared with those of the 8th edition American Joint Committee on Cancer (AJCC) Tumor-Node-Metastasis (TNM) staging system using decision curve analysis (DCA), net reclassification index (NRI), and integrated discrimination improvement (IDI). The risk stratifications of the nomogram and the TNM-staging system were compared. LODDS showed the highest accuracy in predicting OS for NM-GBA. The C-index (0.730 for the training cohort and 0.746 for the validation cohort) and the time-dependent AUC (> 0.7) indicated the satisfactory discriminative ability of the nomogram. The calibration plots showed a high degree of consistency. The DCA, NRI, and IDI indicated that the nomogram performed significantly better than the TNM-staging (P < 0.05). A novel LODDS-included nomogram was developed and validated to assist clinicians in evaluating the prognosis of NM-GBA patients.

Predictive Performance of Current Nodal Staging Systems in Various Categories of Pancreatic Cancer

BACKGROUND

Nodal staging systems (NSS) for pancreatic ductal adenocarcinoma (PDAC) classify patients on the basis of number of metastatic lymph nodes (MLN), metastatic/retrieved lymph node ratio (LNR), and log odds of positive LN (LODDS). The relative prognostic performance of these NSS, however, remains unclear.

PATIENTS AND METHODS

We identified 2584 patients who underwent surgery for PDAC between 2010 and 2019. Subgroups of each staging system were classified using K-adaptive partitioning method and assessed by comparing time-dependent areas under the curve (AUC) 5 years after surgery.

RESULTS

Patients were subgrouped by MLN (0, 1-3, ≥ 4), LNR (0, 0-0.23, > 0.23), and LODDS (< - 3.5, - 3.5 to - 0.970, > - 0.97). All three NSS were independent prognostic factors for overall survival (OS) and recurrence-free survival (RFS). The AUCs for OS were comparable for the MLN (0.622), LNR (0.609), and LODDS (0.596) systems. Subgroup evaluation based on 12 retrieved lymph nodes (RLN), R1 resection, and extent of resection showed that the AUCs of the MLN and LNR NSS were comparable for OS and RFS regardless of the number of RLNs, R1 resection, and extent of resection. By contrast, the AUCs of the LODDS NSS were lower.

CONCLUSION

The NSS based on the number of MLN is the best prognostic indicator, with prognostic performance comparable to the other NSS and greater convenience for practical use. This NSS was applicable regardless of the numbers of RLN, R1 resection, and extent of resection.

The C-reactive protein to albumin ratio is an excellent prognostic predictor for gallbladder cancer

A number of inflammation indicators based on C-reactive protein (CRP) and albumin have been widely used to predict the prognosis in several types of tumors, but their functions in gallbladder cancer (GBC) have rarely been explored. The aim of our study is to evaluate and compare the prognostic values of the C-reactive protein to albumin ratio (CAR), Glasgow prognostic score (GPS), modified Glasgow prognostic score (mGPS) and high-sensitivity modified Glasgow prognostic score (HS-mGPS) in patients with GBC. 144 GBC patients who received curative surgery in our hospital from January 2010 to May 2017 were enrolled in this research. The Kaplan-Meier analysis showed that the median OS of the patients in the high CAR group was significantly shorter than the patients in the low group (p < 0.001), and higher scores of GPS, mGPS and HS-mGPS were also associated with decreased OS, respectively. However, according to the Receiver Operating Characteristic (ROC) curve, the CAR was superior to the other prognostic scores in determining the prognosis for the GBC patients. In the multivariate analysis, CAR was verified as an independent risk factor for poor prognosis, together with tumor differentiation, T stage and postoperative complications. All in all, compared to the other three CRP-albumin-related prognostic predictors, CRA is a better indicator in predicting poor long-term outcomes in GBC patients after radical surgery.

Effect of lymphadenectomy in curative gallbladder cancer treatment: a systematic review and meta-analysis

PURPOSE

Only a small fraction of resectable gallbladder cancer (GBC) patients receive a thorough lymphadenectomy. The aim of this systematic review and meta-analysis was to investigate the effect of lymphadenectomy on survival in GBC surgery.

METHODS

On May 19, 2019, MEDLINE, EMBASE, and the Cochrane Library were searched for English or German articles published since 2002. Studies assessing the effect of lymphadenectomy on survival in GBC surgery were included. Fixed effect and random effects models were used to summarise the hazard ratio (HR).

RESULTS

Of the 530 identified articles, 18 observational studies (27,570 patients, 10 population-based, 8 cohort studies) were reviewed. In the meta-analysis, lymphadenectomy did not show a significant benefit for T1a tumours (n = 495; HR, 1.37; 95%CI, 0.65-2.86; P = 0.41). Lymphadenectomy showed a significant survival benefit in T1b (n = 1618; HR, 0.69; 95%CI, 0.50-0.94; P = 0.02) and T2 (n = 6204; HR, 0.68; 95%CI, 0.56-0.83; P < 0.01) tumours. Lymphadenectomy improved survival in the 2 studies assessing T3 tumours (n = 1961). A conclusive analysis was not possible for T4 tumours due to a low case load. Among patients undergoing lymphadenectomy, improved survival was observed in patients with a higher number of resected lymph nodes (HR, 0.57; 95%CI, 0.45-0.71; P < 0.01).

CONCLUSIONS

Regional lymphadenectomy improves survival in T1b to T3 GBC. A minimum of 6 retrieved lymph nodes are necessary for adequate staging, indicating a thorough lymphadenectomy. Patients with T1a tumours should be evaluated for lymphadenectomy, especially if lymph node metastases are suspected.

A new nomogram from the SEER database for predicting the prognosis of gallbladder cancer patients after surgery

Background

To study the prognostic significance in gallbladder cancer (GBC) patients of the four N stage methods of log odds of positive lymph nodes (LODDS), lymph node ratio (LNR), and N stage in the 7th and 8^th editions of the American Joint Committee on Cancer (AJCC), and to establish a prognostic model of GBC based on LODDS.

Methods

Data of 1,321 patients with GBC who underwent surgical resection of lymph nodes from 2010 to 2014 were collected from the Surveillance, Epidemiology, and End Results (SEER) database. We then randomly divided these data into a training set (n=925) and a validation set (n=396). C-index, Akaike information criterion (AIC), and area under the curve (AUC) were calculated to evaluate the accuracy of LODDS, LNR, and N stage in the 7^th and 8^th editions of the AJCC. Cox multivariate analysis was performed to determine whether LODDS was an independent prognostic factor, and a nomogram model was established. C-index was used to evaluate the accuracy of the nomogram. A receiver operating characteristic (ROC) curve was drawn and the area under the AUC was calculated to evaluate the accuracy of the nomogram in predicting patients' 1-, 3-, and 5-year overall survival (OS).

Results

Univariate analysis showed that the four methods were all correlated with OS. Through C-index, AIC and AUC, We found that LODDS had the best accuracy of the four methods. C-index and AUC analysis revealed that the nomogram based on LODDS had excellent prognostic ability. All the results were verified in the validation set.

Conclusions

LODDS is an independent prognostic factor for GBC patients, and it is the best N stage in the SEER database. This new nomogram-containing LODDS system is a great model to predict the prognosis of GBC patients.