Prognostic Predictability of American Joint Committee on Cancer 8th Staging System for Perihilar Cholangiocarcinoma: Limited Improvement Compared with the 7th Staging System

Vascular invasion and lymph node metastasis mediate the effect of CA242 on prognosis in hilar cholangiocarcinoma patients after radical resection

Background

Carbohydrate antigen 242 has been clinically used as a diagnostic biomarker for pancreatic cancer. However, the prognostic role of CA242 in hilar cholangiocarcinoma (HCCA) has not been identified. Also, it remains unclear to what extents the vascular invasion and lymph node metastasis mediate the effect of serum CA242 on prognosis.

Objective

This study aimed to investigate whether vascular invasion and lymph node metastasis mediate the relationship between CA242 levels and clinical prognosis in HCCA patients after radical resection.

Methods

Data of 234 HCCA patients who accepted radical resection from March 2008 to December 2014 were analyzed. Vascular invasion and lymph node metastasis were assessed by postoperative pathological examinations. Mediation analysis was performed to study the potential causal relationship between CA242 and overall survival (OS) and relapse-free survival (RFS). Survival analysis was performed using the Kaplan-Meier method.

Results

Among 234 HCCA patients, 104 patients (44.4%) with normal CA242 levels (≤ 20 IU/ml) had significantly better OS (p=0.004) and RFS (p=0.001) than those 130 patients (55.6%) with elevated CA242 levels (>20 IU/ml). The logistic analysis showed that elevated CA242 was an independent risk factor for vascular invasion (p=0.006) and lymph nodes metastasis (p=0.040). The causal mediation analysis indicated that the vascular invasion (p=0.012 for OS; p=0.036 for RFS) and lymph nodes metastasis (p=0.024 for OS; p=0.014 for RFS) played significant roles in mediating the effect of serum CA242 on OS and RFS.

Conclusion

Serum elevated CA242 could be a novel marker for prognosis prediction in HCCA patients. Vascular invasion and lymph node metastasis mediated the relationship between CA242 and clinical prognosis.

Modification of the eighth AJCC/UICC staging system for perihilar cholangiocarcinoma: An alternative pathological staging system from cholangiocarcinoma-prevalent Northeast Thailand

Aim

This study aims to improve the classification performance of the eighth American Joint Committee on Cancer (AJCC) staging system for perihilar cholangiocarcinoma (pCCA) by proposing the Khon Kaen University (KKU) staging system developed in cholangiocarcinoma-prevalent Northeast Thailand.

Method

Four hundred eighty-eight patients with pCCA who underwent partial hepatectomy between 2002 and 2017 at the Srinagarind Hospital, Faculty of Medicine, Khon Kaen University, Thailand, were included. Overall survival (OS) related to clinicopathological features was analyzed using the Kaplan–Meier method. Logrank test was performed in univariate analysis to compare OS data of clinicopathological features to determine risk factors for poor survival. Significant features were further analyzed by multivariate analysis (Cox regression) to identify prognostic factors which were then employed to modify the eighth AJCC staging system.

Results

Multivariate analysis showed that growth pattern (HR = 4.67–19.72, p < 0.001), moderately and poorly differentiated histological grades (HR = 2.31–4.99, p < 0.05 and 0.001, respectively), lymph node metastasis N1 and N2 (HR = 1.37 and 2.18, p < 0.05 and 0.01, respectively), and distant metastasis (HR = 2.11, p < 0.001) were independent factors when compared to their respective reference groups. There was a clear separation of patients with pCCA into KKU stage: I [OS = 116 months (mo.)], II (OS = 46 mo.), IIIA (OS = 24 mo.), IIIB (11 mo.), IVA (OS = 7 mo.), and IVB (OS = 6 mo.).

Conclusion

The new staging system was based on the incorporation of growth patterns to modify the eighth AJCC staging system. The classification performance demonstrated that the KKU staging system was able to classify and distinctly separate patients with pCCA into those with good and poor outcomes. It was also able to improve the stratification performance and discriminative ability of different stages of pCCA classification better than the eighth AJCC staging system. Hence, the KKU staging system is proposed as an alternative model to augment the accuracy of survival prognostication and treatment performance for patients with pCCA.

Impact of Positive Lymph Nodes and Resection Margin Status on the Overall Survival of Patients with Resected Perihilar Cholangiocarcinoma: The ENSCCA Registry

Background: Lymph node metastasis and positive resection margins have been reported to be major determinants of overall survival (OS) and poor recurrence-free survival (RFS) for patients who underwent resection for perihilar cholangiocarcinoma (pCCA). However, the prognostic value of positive lymph nodes independently from resection margin status on OS has not been evaluated. Methods: From the European Cholangiocarcinoma (ENSCCA) registry, patients who underwent resection for pCCA between 1994 and 2021 were included in this retrospective cohort study. The primary outcome was OS stratified for resection margin and lymph node status. The secondary outcome was recurrence-free survival. Results: A total of 325 patients from 11 different centers and six European countries were included. Of these, 194 (59.7%) patients had negative resection margins. In 113 (34.8%) patients, positive lymph nodes were found. Lymph node status, histological grade, and ECOG performance status were independent prognostic factors for survival. The median OS for N0R0, N0R1, N+R0, and N+R1 was 38, 30, 18, and 12 months, respectively (p < 0.001). Conclusion: These data indicate that in the presence of positive regional lymph nodes, resection margin status does not determine OS or RFS in patients with pCCA. Achieving negative margins in patients with positive nodes should not come at the expense of more extensive surgery and associated higher mortality.

Evaluation of Four Lymph Node Classifications for the Prediction of Survival in Hilar Cholangiocarcinoma

BACKGROUND

An important prognostic indicator of hilar cholangiocarcinoma (HCCA) in patients after surgery is metastasis of lymph nodes (LN). However, there are many types of LN staging systems to the issue of a better determination of the prognosis of patients through the lymphatic staging system which needs research. Based on the above, we tried to re-evaluate the staging system of HCCA LNs. We compared the American Joint Committee on Cancer (AJCC), number of metastatic LNs (MLN), ratio of LN (LNR), and log odds of MLNs (LODDS) in individuals undergoing curative resection to determine the best LN staging system.

METHODS

In the current study, we retrospectively analyzed 229 patients undergoing curative resection. We evaluated the impact of the stage of AJCC pN, LNR, LODDS, and MLN on OS (overall survival) and RFS (recurrence-free survival). According to the curve of receiver operating characteristic (ROC), we compared the predictive capacity of different staging systems of LN for survival and recurrence.

RESULTS

Multivariate analysis results revealed that LODDS >  - 0.45 (95% CI = 1.115-2.709, P = 0.015; 95% CI = 1.187-2.780, P = 0.006) are independent risk factors affecting OS and RFS, respectively. Compared with LN status, AJCC pN stage, MLN, and LNR, the variable having the highest area under the ROC curve (AUC) was LODDS when predicting 1-year, 3-year, and 5-year OS and RFS.

CONCLUSION

This study shows that metastasis of LNs is a key indicator for predicting patient death and recurrence. Among them, LODDS is the best LN staging system for the prognostic evaluation of HCCA patients after surgery. Clinicians can incorporate LODDS into HCCA patient lymphatic staging system for a more accurate prognosis of HCCA patients post-surgery.

A Novel Nomogram Based on Log Odds of Metastatic Lymph Nodes to Predict Overall Survival in Patients With Perihilar Cholangiocarcinoma After Surgery

Background

Various lymph node staging strategies were reported to be significantly correlated with perihilar cholangiocarcinoma(pCCA) prognosis. This study aimed to evaluate their predictive abilities and construct an optimal model predicting overall survival (OS).

Methods

Patients with pCCA were collected as the training cohort from the Surveillance, Epidemiology, and End Results (SEER) database. Four models were constructed, involving four LNs staging strategies. The optimal model for predicting OS was evaluated by calculation of the concordance index (C-index) and Akaike information criterion (AIC), and validated by using the area under curve (AUC) and calibration curves. The clinical benefits of nomogram were evaluated by decision curve analysis (DCA). A Chinese cohort was collected to be an external validation cohort.

Results

There were 319 patients and 109 patients in the SEER database and Chinese cohort respectively. We developed an optimal model involving age, T stage, tumor size, LODDS, which showed better predictive accuracy than others. The C-index of the nomogram was 0.695, the time-dependent AUC exceeded 0.7 within 36 months which was significantly higher than that of the American Joint Committee on Cancer (AJCC) stage. The calibration curves for survival probability showed the nomogram prediction had good uniformity of the practical survival. The DCA curves exhibited our nomogram with higher clinical utility compared with the AJCC stage and single LOODS.

Conclusions

LODDS is a strong independent prognostic factor, and the nomogram has a great ability to predict OS, which helps assist clinicians to conduct personalized clinical practice.

A novel risk-scoring system conducing to chemotherapy decision for patients with pancreatic ductal adenocarcinoma after pancreatectomy

Background: Chemotherapy is suggested to use in all stages of pancreatic cancer. Is it reasonable to recommend chemotherapy for all PDAC patients? It is necessary to distinguish low-risk PDAC patients underwent pancreatectomy, who may not lose survival time due to missed chemotherapy and not need to endure pain, nausea, tiredness, drowsiness, and breath shortness caused by chemotherapy. Methods: Nomograms were constructed with basis from the multivariate Cox regression analysis. X-tile software was utilized to perform risk stratification. Survival curves were used to display the effect of chemotherapy in different risk-stratification. Results: All of the significant variables were used to create the nomograms for overall survival (OS). The total risk score of each patient was calculated by summing the scores related to each variable. X-tile software was utilized to classify patients into high-risk (score >283), median-risk (197 Collapse

Key Words

• PDAC
• SEER database
• chemotherapy
• nomogram
• surgical resection

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Affiliation(s)

Yuqiang Li Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China Department of General Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
Mengxiang Tian Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China
Yuan Zhou Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China
Fengbo Tan Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China
Wenxue Liu Department of Cardiology, Xiangya Hospital, Central South University, Changsha, China Department of Rheumatology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
Lilan Zhao Department of Thoracic Surgery, Fujian Provincial Hospital, Fuzhou, China
Daniel Perez Department of General Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
Xiangping Song Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China
Dan Wang Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China Department of General Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
Christine Nitschke Department of General Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
Qian Pei Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China
Cenap Güngör Department of General Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

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External validation study of the 8th edition of the American Joint Committee on Cancer staging system for perihilar cholangiocarcinoma: a single-center experience in China and proposal for simplification

Background

Several changes have been made to the primary tumor (T) and lymph node (N) categories in the new 8^th edition of the American Joint Committee on Cancer (AJCC) staging system for perihilar cholangiocarcinoma (pCCA). This study was conducted to validate the 8^th edition of the AJCC staging system for pCCA in China.

Methods

A total of 335 patients who underwent curative-intent resection for pCCA between January 2010 and December 2018 were retrospectively enrolled. The overall survival (OS) of groups of patients was calculated using the Kaplan-Meier method. The log-rank test was used to compare OS between groups. The concordance index (C-index), Akaike information criteria (AIC), and time-dependent area under receiver operating characteristic (ROC) curve (AUC) were computed to evaluate the discriminatory power of the 8^th and 7^th editions of the AJCC staging system.

Results

The T category changed in 25 (7.5%) patients, the N category changed in 39 (11.6%) patients, and the tumor-node-metastasis (TNM) stage changed in 157 (46.9%) patients when the 8^th and 7^th editions were compared. No statistically significant difference in survival was observed between T2aN0M0 and T2bN0M0. The C-index of the 8^th edition was 0.609 [95% confidence interval (CI): 0.568-0.650], which was slightly higher than that of the 7^th edition (C-index, 0.599, 95% CI: 0.558-0.640). The time-dependent AUC value also corroborated that the 8^th edition had a better performance than the 7^th edition.

Conclusions

The 8^th edition of the AJCC staging system for pCCA showed a better ability than the 7^th edition to discriminate patient survival. However, further simplification of the 8^th edition is still needed.

Development and validation of preoperative magnetic resonance imaging-based survival predictive nomograms for patients with perihilar cholangiocarcinoma after radical resection: A pilot study

PURPOSE

We aim to develop survival predictive tools to inform clinical decision-making in perihilar cholangiocarcinoma (pCCA).

MATERIALS AND METHODS

A total of 184 patients who had curative resection and magnetic resonance imaging (MRI) examination for pCCA between January 2010 and December 2018 were enrolled. 110 patients were randomly selected for model development, while the other 74 patients for model testing. Preoperative clinical, laboratory, and imaging data were analyzed. Preoperative clinical predictors were used independently or integrated with radiomics signatures to construct different preoperative models through the multivariable Cox proportional hazards method. The nomograms were constructed to predict overall survival (OS), and the performance of which was evaluated by the discrimination ability, time-dependent receiver operating characteristic curve (ROC), calibration curve, and decision curve.

RESULTS

The clinical model (Model^clinic) was constructed based on three independent variables including preoperative CEA, cN stage, and invasion of hepatic artery in images. The model yield the best performance (Model^{clinic&AP&PVP}) was build using three independent variables, Signature^AP and Signature^PVP. In training and testing cohorts, the concordance indexes (C-indexes) of Model^clinic were 0.846 (95 % CI, 0.735-0.957) and 0.755 (95 % CI, 0.540-969), and Model^{clinic&AP&PVP} achieved C-indexes of 0.962 (95 % CI, 0.905-1) and 0.814 (95 % CI, 0.569-1). Both Model^clinic and Model^{clinic&AP&PVP} outperformed the TNM staging system. Good agreement was observed in the calibration curves, and favorable clinical utility was validated using the decision curve analysis for Model^clinic and Model^{clinic&AP&PVP}.

CONCLUSION

Two preoperative nomograms were constructed to predict 1-, 3-, and 5-years survival for individual pCCA patients, demonstrating the potential for clinical application to assist decision-making.

Extranodal Extension as an Independent Prognostic factor in Laryngeal Squamous Cell Carcinoma Patients

The presence of Lymph node metastasis with extranodal extension (ENE) is considered to be an important adverse prognostic factor for survival in patients with head and neck cancer. The aim of this study was to determine the prognostic significance of ENE in patients with laryngeal squamous cell carcinoma (LSCC). Three hundred and fifty-five patients with LSCC who underwent surgical resection and neck dissection were included. The status of cervical lymph node was classified into three groups: pathological negative nodal (pN-), pathological positive nodal without ENE (ENE-), and pathological positive nodal with ENE (ENE+). A total of 85 of 355 (23.9%) LSCC were pathological nodal positive, and ENE was detected in 22/355 (6.2%) patients. ENE was associated with drinking (p=0.005), T stage (p=0.000), tumor location (p=0.000), and differentiation degree (p=0.000). The number of lymph node metastasis in ENE+ group was associated with almost twice compared to ENE- group (p=0.005). The 5-year overall survival rates for patients in the pN-, ENE-, and ENE+ groups were 86.4±2.6%, 75.9±6.3%, and 53.7±12.7%, respectively (p=0.000). After adjusting for confounding variables, ENE+ was associated with more than five times the hazard of death than pN- cases (p=0.000), and more than twice the hazard of death than ENE- cases (p=0.036). Compared to N2-3/ENE- cases, N2-3/ENE+ cases had the poorest survival rate (p=0.013). ENE+ was associated with worse outcomes compared to pN - or ENE- status. ENE is an independent prognostic factor in LSCC, and could be an indicator of the need for adjuvant treatment.

Prognostic Relevance of the Eighth Edition of TNM Classification for Resected Perihilar Cholangiocarcinoma

OBJECTIVES

In our study, we evaluated and compared the prognostic value and performance of the 6th, 7th, and 8th editions of the American Joint Committee on Cancer (AJCC) staging system in patients undergoing surgery for perihilar cholangiocarcinoma (PHC).

METHODS

Patients undergoing liver surgery with curative intention for PHC between 2002 and 2019 were identified from a prospective database. Histopathological parameters and stage of the PHC were assessed according to the 6th, 7th, and 8th editions of the tumor node metastasis (TNM) classification. The prognostic accuracy between staging systems was compared using the area under the receiver operating characteristic curve (AUC) model.

RESULTS

Data for a total of 95 patients undergoing liver resection for PHC were analyzed. The median overall survival time was 21 months (95% CI 8.1-33.9), and the three- and five-year survival rates were 46.1% and 36.2%, respectively. Staging according to the 8th edition vs. the 7th edition resulted in the reclassification of 25 patients (26.3%). The log-rank p-values for the 7th and 8th editions were highly statistically significant (p ≤ 0.01) compared to the 6th edition (p = 0.035). The AJCC 8th edition staging system showed a trend to better discrimination, with an AUC of 0.69 (95% CI: 0.52-0.84) compared to 0.61 (95% CI: 0.51-0.73) for the 7th edition. Multivariate survival analysis revealed male gender, age >65 years, positive resection margins, presence of distant metastases, poorly tumor differentiation, and lymph node involvement, such as no caudate lobe resection, as independent predictors of poor survival (p < 0.05).

CONCLUSIONS

In the current study, the newly released 8th edition of AJCC staging system showed no significant benefit compared to the previous 7th edition in predicting the prognosis of patients undergoing liver resection for perihilar cholangiocarcinoma. Further research may help to improve the prognostic value of the AJCC staging system for PHC-for instance, by identifying new prognostic markers or staging criteria, which may improve that individual patient's outcome.