Serum tumor markers enhance the predictive power of the AJCC and LCSGJ staging systems in resectable intrahepatic cholangiocarcinoma

Preoperative MRI features predicting very early recurrence of intrahepatic mass-forming cholangiocarcinoma after R0 resection: a comparison with the AJCC 8th edition staging system

PURPOSE

This study aimed to establish a nomogram based on preoperative magnetic resonance imaging (MRI) features to predict the very early recurrence (VER, less than 6 months) of intrahepatic mass-forming cholangiocarcinoma (IMCC) after R0 resection.

METHODS

This study enrolled a group of 193 IMCC patients from our institution between March 2010 and January 2022. Patients were allocated into the development cohort (n = 137) and the validation cohort (n = 56), randomly, and the preoperative clinical and MRI features were collected. Univariate and multivariate stepwise logistic regression assessments were adopted to assess predictors of VER. Nomogram was constructed and certificated in the validation cohort. The performance of the prediction nomogram was evaluated by its discrimination, calibration, and clinical utility. The performance of the nomogram was compared with the T stage of the American Joint Committee on Cancer (AJCC) 8th edition staging system.

RESULTS

Fifty-three patients (27.5%) experienced VER of the tumor and 140 patients (72.5%) with non-VER, during the follow-up period. After multivariate stepwise logistic regression, number of lesions, diffuse hypoenhancement on arterial phase, necorsis and suspicious lymph nodes were independently associated with VER. The nomogram demonstrated significantly higher area under the curve (AUC) of 0.813 than T stage (AUC = 0.666, P = 0.006) in the development cohort, whereas in the validation cohort, the nomogram showed better discrimination performance, with an AUC of 0.808 than T stage (0.705) with no significantly difference (P = 0.230). Decision curve analysis reflected the clinical net benefit of the nomogram.

CONCLUSION

The nomogram based on preoperative MRI features is a reliable tool to predict VER for patients with IMCC after R0 resection. This nomogram will be helpful to improve survival prediction and individualized treatment.

Revision of potential prognostic markers of cholangiocarcinoma for clinical practice

INTRODUCTION

Cholangiocarcinoma (CCA) is an aggressive cancer arising from any part of the biliary system. Effective treatment of CCA remains limited, resulting in the poor overall prognosis of patients. The effective prognostic biomarkers for CCA remain lacking, and most are at the research level.

AREAS COVERED

The incidences of CCAs, classification, genetic and molecular characteristics, and distinct clinical outcomes in each subtype are introduced. The prognostic markers currently used in clinical practice are reviewed. Studies of biomarkers in defining the aggressiveness of CCA, identifying patients with a potential tumor recurrence, and predicting the survival time, are reviewed. Emerging biomarkers discovered from advanced high throughput technology over the past five years are updated and summarized. Finally, in-depth and critical revision on the prognostic biomarkers for CCA reported from various sources of specimens, e.g. tissues, blood, bile, etc. are discussed.

CONCLUSION

Many prognostic biomarkers for CCA have been proposed and hold promising clinical value. However, these markers are rarely used in the real clinical world due to several factors. Understanding the roles and importance of these prognostic markers may fundamentally impact the therapeutic management of CCA, and hopefully, improve the development of custom and patient-directed therapies for CCA.

A novel prognostic system combining carbonic anhydrase II and preoperative CA19-9 for intrahepatic cholangiocarcinoma after curative resection

BACKGROUND

The role of carbonic anhydrase II (CAII) in intrahepatic cholangiocarcinoma (ICC) was investigated and a novel prognostic system combining CAII and preoperative carbohydrate antigen 19-9 (CA19-9) was established to predict the survival of patients with ICC after curative resection.

METHODS

A total of 110 patients who underwent curative-intent resection for ICC between 2012 and 2020 were retrospectively analyzed. CAII in tumor and peritumor regions was examined by immunohistochemistry, and the relationships between clinicopathological factors and the prognostic value of CAII and CA19-9 were analyzed.

RESULTS

CAII was frequently downregulated in ICC tissues (p < .001). Multivariate analyses indicated that showed that both low CAII expression level and preoperative CA19-9 ≥236 U/ml were independent risk factors for overall survival (OS) and recurrence-free survival (RFS) in patients with ICC after radical resection. Survival analysis revealed that patients with high CAII and low CA19-9 were significantly associated with a better OS and RFS (p < .001). The time-dependent receiver operating characteristic curves showed that CAII + CA19-9 had better prognostic predictive ability than CAII or CA19-9 alone. The nomogram constructed on independent factors including T stage, lymph node metastasis, CA19-9 (continuous variable), and CAII achieved C-indexes of 0.754 (95% CI, 0.701-0.807) and 0.730 (0.674-0.785) for OS and RFS, respectively. The calibration curve revealed acceptable agreement between actual and predicted OS and RFS.

CONCLUSIONS

The combination of CAII and preoperative CA19-9 is a novel and useful prognostic tool for predicting the survival of patients with ICC after curative resection and guiding clinical decisions.

PLAIN LANGUAGE SUMMARY

Carbonic anhydrase II (CAII) was frequently downregulated in intrahepatic cholangiocarcinoma (ICC) tissues. Survival analysis revealed that CAII is a novel independent factor for prognosis in patients with ICC after curative resection. CAII could be a useful prognostic marker for patients with ICC after surgery. The combination of CAII and preoperative carbohydrate antigen 19-9 is a novel and useful prognostic tool for predicting the survival of patients with ICC after curative resection and guiding clinical decisions.

Tumor Necrosis Impacts Prognosis of Patients Undergoing Resection for T1 Intrahepatic Cholangiocarcinoma

BACKGROUND

The prognostic impact of tumor necrosis among patients undergoing resection for intrahepatic cholangiocarcinoma (ICC) remains ill-defined.

METHODS

Patients who underwent curative-intent resection for ICC between 2000 and 2017 were identified using a multi-institutional database. The association of pathologic tumor necrosis with overall survival (OS) and recurrence-free survival (RFS) was examined.

RESULTS

Among 757 patients who underwent resection for ICC, tumor necrosis was present in 384 (50.7%) patients (no necrosis: n = 373, 49.3%; <50% necrosis: n = 291, 38.4%; ≥50% necrosis: n = 93, 12.3%). Tumor necrosis was associated with worse OS (5-year OS: no necrosis 39.3% vs. <50% necrosis 34.7% and ≥50% necrosis 24.0%; p = 0.03) and RFS (5-year RFS: no necrosis 25.7% vs. <50% necrosis 13.9% and ≥50% necrosis 18.8%; p < 0.001). After stratifying by T stage, tumor necrosis was able to further stratify prognosis among patients with T1a ICC (5-year RFS: T1a and no necrosis 46.7% vs. T1a and necrosis 36.1%; p = 0.02), and T1b ICC (5-year RFS: T1b and no necrosis 31.1% vs. T1b and necrosis 11.2%; p = 0.006), but was not associated with outcomes among patients with more advanced T2-T3 disease. Patients with T1a ICC and tumor necrosis had similar 5-year RFS as individuals with T1b ICC and no tumor necrosis (36.1% vs. 31.1%; p = 0.66).

CONCLUSION

Tumor necrosis was associated with worse prognosis among patients with T1 ICC. Tumor necrosis for T1 ICC should be considered as an important factor to further stratify outcomes of patients with early T-stage ICC.

Driver mutations of intrahepatic cholangiocarcinoma shape clinically relevant genomic clusters with distinct molecular features and therapeutic vulnerabilities

Purpose: To establish a clinically applicable genomic clustering system, we investigated the interactive landscape of driver mutations in intrahepatic cholangiocarcinoma (ICC).

Methods: The genomic data of 1481 ICCs from diverse populations was analyzed to investigate the pair-wise co-occurrences or mutual exclusivities among recurrent driver mutations. Clinicopathological features and outcomes were compared among different clusters. Gene expression and DNA methylation profiling datasets were analyzed to investigate the molecular distinctions among mutational clusters. ICC cell lines with different gene mutation backgrounds were used to evaluate the cluster specific biological behaviors and drug sensitivities.

Results: Statistically significant mutation-pairs were identified across 21 combinations of genes. Seven most recurrent driver mutations (TP53, KRAS, SMAD4, IDH1/2, FGFR2-fus and BAP1) showed pair-wise co-occurrences or mutual exclusivities and could aggregate into three genetic clusters: Cluster1: represented by tripartite interaction of KRAS, TP53 and SMAD4 mutations, exhibited large bile duct histological phenotype with high CA19-9 level and dismal prognosis; Cluster2: co-association of IDH/BAP1 or FGFR2-fus/BAP1 mutation, was characterized by small bile duct phenotype, low CA19-9 level and optimal prognosis; Cluster3: mutation-free ICC cases with intermediate clinicopathological features. These clusters showed distinct molecular traits, biological behaviors and responses to therapeutic drugs. Finally, we identified S100P and KRT17 as “cluster-specific”, “lineage-dictating” and “prognosis-related” biomarkers, which in combination with CA19-9 could well stratify Cluster3 ICCs into two biologically and clinically distinct subtypes.

Conclusions: This clinically applicable clustering system can be instructive to ICC prognostic stratification, molecular classification, and therapeutic optimization.

Surgical management of intrahepatic cholangiocarcinoma

INTRODUCTION

Intrahepatic cholangiocarcinoma (ICC) incidence continues to rise worldwide, and overall survival remains poor. Complete surgical resection remains the only opportunity for cure in patients with ICC yet only one-third of patients present with resectable disease.

AREAS COVERED

While the low incidence rate of ICC hinders accrual of patients to large, randomized control trials, larger database and long-term institutional studies provide evidence to guide surgical management of ICC. These studies demonstrate feasibility, safety, and efficacy of aggressive surgical management in appropriately selected patients with ICC. Recent advances in the management of ICC, with a focus on surgical considerations, are reviewed.

EXPERT OPINION

Historically, little progress has been made in the management of ICC with stagnant mortality rates and poor long-term outcomes. However, regionalization of care to centers with experienced multidisciplinary teams, advances in minimally invasive surgical techniques, discovery and development of targeted and immunotherapy agents, and combination locoregional and systemic therapies offer signs of progress in the management of ICC.

Challenges and Opportunities for Treating Intrahepatic Cholangiocarcinoma

Intrahepatic cholangiocarcinoma (ICC) is one of the rarest and most aggressive types of cancer. The symptoms of ICC patients can be vague, leading to late diagnosis and dismal prognosis. In this review, we investigated the treatment options for ICC, as well as ways to overcome challenges in identifying and treating this disease. Imaging remains the gold standard to diagnose ICC. Patients are staged based on the tumor, nodes and metastases (TNM) staging system. Patients eligible for surgical resection should undergo surgery with curative intent with the goal of microscopically disease-free margins (R0 resection) along with lymphadenectomy. Minimal invasive surgery (MIS) and liver transplantation have recently been offered as possible ways to improve disease outcomes. ICC recurrence is relatively common and, thus, most patients will need to be treated with systemic therapy. Several clinical trials have recently investigated the use of neoadjuvant (NT) and adjuvant therapies for ICC. NT may offer an opportunity to downsize larger tumors and provide patients, initially ineligible for surgery, with an opportunity for resection. NT may also treat occult micro-metastatic disease, as well as define tumor biology prior to surgical resection, thereby decreasing the risk for early postoperative recurrence. Adjuvant systemic therapy may improve outcomes of patients with ICC following surgery. Ongoing clinical trials are investigating new targeted therapies that hold the hope of improving long-term outcomes of patients with ICC.

Double-Negative α-Fetoprotein and Carbohydrate Antigen 19-9 Predict a Good Prognosis in Intrahepatic Cholangiocarcinoma: A Propensity Score Matching Analysis

INTRODUCTION

Carbohydrate antigen 19-9 (CA19-9) and α-fetoprotein (AFP) are routinely tested in patients with liver malignancies before surgery. However, few reports have explored the relevance of the expression pattern of these 2 tumor markers regarding the prognosis of intrahepatic cholangiocarcinoma (ICC). We herein combined these 2 tumor markers to investigate the influence on ICC malignancy and patient prognosis.

METHODS

From March 2009 to December 2019, 519 consecutive patients with newly diagnosed ICC who underwent R0 resection were enrolled and followed. The relationships between clinicopathological parameters and these 2 tumor markers were analyzed. Propensity score matching was used to eliminate the baseline differences.

RESULTS

A lower proportion of patients with double-negative AFP and CA19-9 had advanced tumor-node-metastasis stage, larger tumor diameter, multiple tumors, lymph node metastasis, microvascular invasion, and perineural invasion. With propensity score matching, patients were divided into double-negative and non-double-negative groups, with 128 patients in each group, and the 5-year recurrence-free survival and overall survival rates were 33.8 vs 15.2 (P < 0.001) and 45.3 vs 19.0, respectively (P < 0.001). In the multivariate Cox analyses, double negativity for the 2 tumor markers was an independent factor for recurrence-free survival (hazard ratios, 0.578; 95% CI, 0.442-0.755, P < 0.001) and overall survival (hazard ratios, 0.567; 95% CI, 0.434-0.741, P < 0.001).

DISCUSSION

Double negativity for CA19-9 and AFP indicated less invasive tumor characteristics in patients with ICC. Patients with double-negative tumor markers achieved better outcomes than those with non-double-negative markers, which is meaningful for prognostic counseling and therapeutic triage.

Radioembolization of Intrahepatic Cholangiocarcinoma: Patient Selection, Outcomes, and Competing Therapies

Intrahepatic cholangiocarcinoma is the second most common primary hepatic malignancy and poses a therapeutic challenge owing to its late-stage presentation and treatment-resistant outcomes. Most patients are diagnosed with locally advanced, unresectable disease and are treated with a combination of systemic and local regional therapies. Transarterial radioembolization offers a survival benefit and a favorable side effect profile, with a growing body of evidence to support its use. Herein, we review patient selection and detail outcomes of radioembolization for intrahepatic cholangiocarcinoma, together with mention of competing treatments.

Proposed modification of the eighth edition of the AJCC staging system for intrahepatic cholangiocarcinoma

BACKGROUND

To improve the prognostic accuracy of the 8th edition of the American Joint Committee on Cancer (AJCC) staging system for intrahepatic cholangiocarcinoma (ICC) with establishment and validation of a modified TNM (mTNM) staging system.

METHODS

Data on patients who underwent curative-intent resection for ICC was collected from 15 high-volume centers worldwide (n = 643). An external validation dataset was obtained from the SEER registry (n = 797). The mTNM staging system was proposed by redefining T categories, and incorporating the recently proposed N status as N0 (no lymph node metastasis [LNM]), N1 (1-2 LNM) and N2 (≥3 LNM).

RESULTS

The 8th AJCC TNM staging system failed to stratify overall survival (OS) of stage II versus IIIA, stage IIIB versus IV, as well as overall stage III versus IV among all patients from the two databases, as well as stage I versus II, and stage III versus III among patients who had ≥6 LNs examined. There was a monotonic decrement in survival based on the proposed mTNM staging classification among patients derived from both the multi-institutional (Median OS, stage I 69.8 vs. II 37.1 vs. III 18.9 vs. IV 16.4 months, all p < 0.05), and SEER (Median OS, stage I 87.0 vs. II 29.3 vs. III 17.7 vs. IV 14.2 months, all p < 0.05) datasets, which was also verified among patients who had ≥6 lymph node harvested from both databases.

CONCLUSION

The modified TNM staging system for ICC using the new T and N definitions provided an improved means to stratify patients relative to long-term OS versus the 8th AJCC staging.

A Nomogram in Predicting Risks of Intrahepatic Cholangiocarcinoma After Partial Hepatectomy for Hepatolithiasis

BACKGROUND

Hepatolithiasis is associated with the development of intrahepatic cholangiocarcinoma (ICC). This study sought to investigate risk factors of ICC for hepatolithiasis after partial hepatectomy (PH) and to develop a model for predicting ICC risk.

METHODS

Data on consecutive patients who underwent PH for hepatolithiasis at the Eastern Hepatobiliary Surgery Hospital between January 2009 and December 2011 were reviewed. Independent risk factors of ICC identified by Cox regression model were used to develop a nomogram in predicting ICC after PH for hepatolithiasis.

RESULTS

Of 2056 patients, 168 developed ICC at a median follow-up of 7.2 years. The cumulative incidences of ICC at 3, 5, and 8 years after PH for hepatolithiasis were 3.0%, 6.5%, and 12.9%, respectively. Independent risk factors of ICC were identified to be a long duration of hepatolithiasis-related symptoms (hazard ratio, 1.088 [95% confidence interval, 1.057-1.120]), metabolic syndrome (2.036 [1.210-3.425]), a high neutrophil-to-lymphocyte ratio (1.250 [1.009-2.816] for 3-5 vs ≤3; 1.538 [1.048-2.069] for ≥5 vs ≤3), hepatic atrophy (1.711 [1.189-2.462]), segmental intensity differences (1.513 [1.052-2.176]), persistent biliary strictures (2.825 [1.480-5.391]), and residual stone disease (2.293 [1.511-3.481]). By incorporating these factors, a constructed nomogram showed a concordance index of 0.721 to predict ICC. The calibration plots demonstrated good agreement between observed and predicted morbidities. The optimal cutoff point for the nomogram was 48 in differentiating between high and low-risk of ICC.

CONCLUSIONS

A nomogram for predicting ICC after PH for hepatolithiasis was constructed based on risk factors of developing ICC. Patients with a nomogram point of ≥48 were predicted to have a high risk of ICC.

A radiomic-based model of different contrast-enhanced CT phase for differentiate intrahepatic cholangiocarcinoma from inflammatory mass with hepatolithiasis

BACKGROUND

Intrahepatic cholangiocarcinoma (ICC) is hard to distinguish from inflammatory mass (IM) complicated with hepatolithiasis in clinical practice preoperatively. This study looked to develop and confirm the radiomics models to make a distinction between ICC with hepatolithiasis from IM and to compare the results of different contrast-enhanced computed tomography (CT) phase.

METHODS

The models were developed in a training cohort of 110 patients from January 2005 to June 2020. Radiomics features were extracted from both arterial phase and portal venous phase contrast-enhanced computed tomography (CT) scans. The radiomics scores based on radiomics features, were built by logistic regression after using the least absolute shrinkage and selection operator (LASSO) method. The rad-scores of two contrast -enhanced CT phases and clinical features were incorporated into a novel model. The performance of the models were determined by theirs discrimination, calibration, and clinical usefulness. The models were externally validated in 35 consecutive patients.

RESULTS

The radiomics signature comprised two features in arterial phase (training cohort, AUC = 0.809, sensitivity 0.700, specificity 0.848, and accuracy 0.774;validation cohort, AUC = 0.790, sensitivity 0.714, specificity 0.800, and accuracy 0.757) and three related features in portal venous phase (training cohort, AUC = 0.801, sensitivity 0.800, specificity 0.717, and accuracy 0.759; validation cohort, AUC = 0.830, sensitivity 0.700, specificity 0.750, and accuracy 0.775) showed significant association with ICC in both cohorts (P < 0.05).We also developed a model only based on clinical variables (training cohort, AUC = 0.778, sensitivity 0.567, specificity 0.891, and accuracy 0.729; validation cohort, AUC = 0.788, sensitivity 0.571, specificity 0.950, and accuracy 0.761). The radiomics-based model contained rad-score of two phases and two clinical factors (CEA and CA19-9) showed the best performance (training cohort, AUC = 0.864, sensitivity 0.867, specificity 0.804, and accuracy 0.836; validation cohort, AUC = 0.843, sensitivity 0.643, specificity 0.980, and accuracy 0.821).

CONCLUSIONS

Our radiomics-based models provided a diagnostic tool for differentiate intrahepatic cholangiocarcinoma (ICC) from inflammatory mass (IM) with hepatolithiasis both in arterial phase and portal venous phase. To go a step further, the diagnostic accuracy will improved by a clinico-radiologic model.

Update on the association of hepatitis B with intrahepatic cholangiocarcinoma: Is there new evidence?

Intrahepatic cholangiocarcinoma (iCCA) is a subgroup of cholangiocarcinoma that accounts for about 10%-20% of the total cases. Infection with hepatitis B virus (HBV) is one of the most important predisposing factors leading to the formation of iCCA. It has been recently estimated based on abundant epidemiological data that the association between HBV infection and iCCA is strong with an odds ratio of about 4.5. The HBV-associated mechanisms that lead to iCCA are under intense investigation. The diagnosis of iCCA in the context of chronic liver disease is challenging and often requires histological confirmation to distinguish from hepatocellular carcinoma. It is currently unclear whether antiviral treatment for HBV can decrease the incidence of iCCA. In terms of management, surgical resection remains the mainstay of treatment. There is a need for effective treatment modalities beyond resection in both first- and second-line treatment. In this review, we summarize the epidemiological evidence that links the two entities, discuss the pathogenesis of HBV-associated iCCA, and present the available data on the diagnosis and management of this cancer.

The 8th Edition American Joint Committee on Cancer Staging for Hepato-pancreato-biliary Cancer: A Review and Update

CONTEXT.—

Cancer staging provides critical information for patients and treating physicians to battle against cancer, predict prognosis, and guide treatment decisions. The American Joint Committee on Cancer (AJCC) staging system uses a tumor, node, metastasis (TNM) scoring algorithm and is the foremost classification system for adult cancers. This system is updated every 6 to 8 years to allow sufficient time for implementation of changes and for relevant examination and discussion of data validating those changes in staging.

OBJECTIVE.—

To review the updates in the 8th edition American Joint Committee on Cancer staging system on hepato-pancreato-biliary cancer.

DATA SOURCES.—

Literature review.

CONCLUSIONS.—

The 8th edition, published in 2016 and implemented on January 1, 2018, has been in use for approximately 3 years. Compared with the 7th edition, some of the changes are quite radical. This review aims to provide a summary of the changes/updates of the 8th edition with focus on hepato-pancreato-biliary cancers, and evaluate its performance through literature review.

A Novel Prognostic Scoring System of Intrahepatic Cholangiocarcinoma With Machine Learning Basing on Real-World Data

Background and Objectives

Currently, the prognostic performance of the staging systems proposed by the 8th edition of the American Joint Committee on Cancer (AJCC 8th) and the Liver Cancer Study Group of Japan (LCSGJ) in resectable intrahepatic cholangiocarcinoma (ICC) remains controversial. The aim of this study was to use machine learning techniques to modify existing ICC staging strategies based on clinical data and to demonstrate the accuracy and discrimination capacity in prognostic prediction.

Patients and Methods

This is a retrospective study based on 1,390 patients who underwent surgical resection for ICC at Eastern Hepatobiliary Surgery Hospital from 2007 to 2015. External validation was performed for patients from 2015 to 2017. The ensemble of three machine learning algorithms was used to select the most important prognostic factors and stepwise Cox regression was employed to derive a modified scoring system. The discriminative ability and predictive accuracy were assessed using the Concordance Index (C-index) and Brier Score (BS). The results were externally validated through a cohort of 42 patients operated on from the same institution.

Results

Six independent prognosis factors were selected and incorporated in the modified scoring system, including carcinoembryonic antigen, carbohydrate antigen 19-9, alpha-fetoprotein, prealbumin, T and N of ICC staging category in 8th edition of AJCC. The proposed scoring system showed a more favorable discriminatory ability and model performance than the AJCC 8th and LCSGJ staging systems, with a higher C-index of 0.693 (95% CI, 0.663–0.723) in the internal validation cohort and 0.671 (95% CI, 0.602–0.740) in the external validation cohort, which was then confirmed with lower BS (0.103 in internal validation cohort and 0.169 in external validation cohort). Meanwhile, machine learning techniques for variable selection together with stepwise Cox regression for survival analysis shows a better prognostic accuracy than using stepwise Cox regression method only.

Conclusions

This study put forward a modified ICC scoring system based on prognosis factors selection incorporated with machine learning, for individualized prognosis evaluation in patients with ICC.

MRI features predict microvascular invasion in intrahepatic cholangiocarcinoma

Background

The presence of microvascular invasion (MVI) in intrahepatic cholangiocarcinoma (ICC) is a significant adverse prognostic factor. This study sought to investigate the correlation between preoperative imaging parameters and MVI in ICC.

Methods

A total of 108 patients with surgically resected single ICC tumors (34 MVI-positive and 74 MVI-negative lesions) who underwent MRI examination, including T1WI, T2WI, DWI, and dynamic enhancement imaging, were enrolled in this retrospective study. The following qualitative and quantitative characteristics were evaluated: tumor morphology, signal features on T1WI and T2WI, intrahepatic duct dilatation, hepatic capsule retraction, target sign on DWI, dynamic enhancement pattern, arterial phase enhancement pattern, dot−/band-like enhancement inside the tumor, visible vessel penetration inside the tumor (hepatic artery, portal vein, or hepatic vein), integrity of the enhancement edge of the arterial phase, peripheral hepatic enhancement, tumor size, maximum enhancement edge thickness, arterial edge enhancement ratio, and delayed phase enhancement ratio. Other clinicopathological features were also used to predict and evaluate MVI in ICC. Chi-square test, Fisher’s exact test, and independent t-test were used for univariate analysis to determine the relationships among the presence of MVI and these MR parameters. Logistic regression analysis was used to identify predictors of MVI among these MR parameters.

Results

Among MRI characteristics, tumor morphology, intrahepatic duct dilatation, arterial phase enhancement pattern, visible hepatic artery penetration sign, maximum diameter of the tumor and the arterial phase edge enhancement ratio were correlated with MVI (P = 0.007, 0.003, 0.008, 0.000, 0.003, and 0.002, respectively). Furthermore, higher CA19–9 levels (≥37 U/ml) and pathological tumor grade III were also related to MVI (P = 0.014 and 0.004, respectively). However, multivariate logistic regression analysis demonstrated that none of the parameters were independent risk factors for the diagnosis of MVI in ICCs.

Conclusion

For the preoperative prediction of MVI in ICC, six qualitative and quantitative data obtained on preoperative MRI, as well as one tumorigenic marker and the pathological tumor grade, were statistically significant. More research is needed to identify MR characteristics that can be used as independent risk factors.

Challenging biliary strictures: pathophysiological features, differential diagnosis, diagnostic algorithms, and new clinically relevant biomarkers - part 1

It is frequently challenging to make the correct diagnosis in patients with biliary strictures. This is particularly important as errors may have disastrous consequences. Benign-appearing strictures treated with stents may later be revealed to be malignant and unnecessary surgery for benign strictures carries a high morbidity rate. In the first part of the review, the essential information that clinicians need to know about diseases responsible for biliary strictures is presented, with a focus on the most recent data. Then, the characteristics and pitfalls of the methods used to make the diagnosis are summarized. These include serum biomarkers, imaging studies, and endoscopic modalities. As tissue diagnosis is the only 100% specific tool, it is described in detail, including techniques for tissue acquisition and their yields, how to prepare samples, and what to expect from the pathologist. Tricks to increase diagnostic yields are described. Clues are then presented for the differential diagnosis between primary and secondary sclerosing cholangitis, IgG4-related sclerosing cholangitis, cholangiocarcinoma, pancreatic cancer, autoimmune pancreatitis, and less frequent diseases. Finally, algorithms that will help to achieve the correct diagnosis are proposed.

Novel staging system using carbohydrate antigen (CA) 19-9 in extra-hepatic cholangiocarcinoma and its implications on overall survival

BACKGROUND

CA19-9 elevation has shown to be associated with poor prognosis in extrahepatic cholangiocarcinoma (ECCA). However, the role of CA19-9 in staging of ECCA has not been evaluated. We hypothesized that CA19-9 elevation is a marker of aggressive biology in ECCA and that inclusion of CA19-9 in the staging system may improve overall survival (OS) discrimination.

METHODS

Patients with ECCA whose CA19-9 levels, irrespective of surgical status, were reported to the National Cancer Database (2004-2015) were included. The patients were classified based on their CA19-9 levels and a new staging system was proposed. Net reclassification improvement (NRI) model was used to assess the predictive improvement in the proposed survival model as compared to AJCC-TNM staging.

RESULTS

Of the 2100 patients included in the study, 626 (32%) and 1474 (68%) had normal and elevated CA19-9 levels (>38 U/ml), respectively. Median OS was lower among patients with elevated CA19-9 level compared to those with CA19-9 level ≤38 U/ml (8.5 vs 16 months, p < 0.01). On multivariate analysis, CA19-9 elevation independently predicted poor prognosis [HR:1.72 (1.46-2.02); p < 0.01] with similar impact as node-positivity, positive resection margins and non-receipt of chemotherapy. We developed a new staging system by incorporating CA19-9 into the 7th edition AJCC TNM staging system. NRI of 46% (95%CI: 39-57%) indicates that the new staging system is substantially effective at re-classifying events at 12 months as compared to AJCC 7th edition.

CONCLUSION

Elevated CA19-9 was found to be an independent risk factor for mortality in ECCA and its inclusion in the proposed staging system improved OS discrimination.

Modifications of the AJCC 8th edition staging system for intrahepatic cholangiocarcinoma and proposal for a new staging system by incorporating serum tumor markers

BACKGROUND

Several studies have noted that the discriminatory ability and stratification performance of the AJCC 8th edition staging system is not entirely satisfactory. We aimed to improve the American Joint Committee on Cancer (AJCC) 8th edition staging system for intrahepatic cholangiocarcinoma (ICC).

METHODS

A multicentric database from three Chinese mainland centers (n = 1601 patients) was used to modify the 8th edition staging system. This modified TNM (mTNM) staging system was then validated using the SEER database (n = 761 patients). A new TNM staging system, by incorporating serum tumor markers (TNMIS) into the mTNM staging system was then proposed.

RESULTS

The 8th edition staging system did not provide an adequate stratification of prognosis in the Chinese multicentric cohort. The mTNM staging system offered a better discriminatory capacity in the multicentric cohort than the original 8th edition. External validation in the SEER cohort showed that the mTNM staging system also had a good stratification performance. After further incorporating a serum marker stage into the mTNM staging, the TNMIS staging system was able to stratify prognosis even better.

CONCLUSION

The proposed mTNM staging system resulted in better stratification performance and the TNMIS staging system provided even more accurate prognostic classification than the conventional TNM system.

Coming of a precision era of the staging systems for intrahepatic cholangiocarcinoma?

Intrahepatic cholangiocarcinoma (ICC) is the second most common primary liver cancer. Appropriate treatment of this aggressive and heterogeneous cancer requires accurate staging and prognostic stratification, as does patient selection for clinical trials. Over the past two decades, several staging systems and prognostic models for ICC have been developed. Most include independent prognostic factors such as tumor extent, clinical parameters and histopathological features and are inaccurate. Accumulating findings offer new insights into the genetic and molecular basis of ICC progression. Hence, staging systems and prognostic models that incorporate in clinicalpathological factors, molecular and genomic information, and tumor biomarkers, and hence more accurately estimate prognosis, will become a reality. This review summarizes the current staging systems and prognostic models for ICC and highlights the need to establish more precise and personalized systems and models that incorporate tumor biologic factors.

A serological scoring system to predict lymph node metastasis in patients with hepatocellular carcinoma

BACKGROUND

Lymph node metastasis (LNM)has widely been recognized as a poor prognostic indicator for hepatocellular carcinoma (HCC) patients. Preoperative prediction of LNM is important for clinicians to decide on treatment. This study was designed to develop a simple and convenient system to predict LNM.

METHODS

Consecutive HCC patients who were suspected to have LNM were divided into a training, an internal validation and an external validation cohort. The receiver operating characteristic (ROC) analysis was used to determine the threshold value of the preoperative serological variables. A nomogram visualization system model was then established.

RESULT

Of the 287 patients, there were 31 patients who had LNM (10.8%), and 21 of 203 patients (10.3%) were in the training cohort and 10 of 84 patients (11.9%) in the internal validation cohort. Sixteen of 176 patients (9.1%) in the external validation cohort had LNM. The serological indices including neutrophil/lymphocyte rate, age, platelet, prothrombin time, and total protein, were included in the nomogram. The areas of the ROC curve were 0.846, 0.679 and 0.738 in predicting LNM in the training cohort, the internal validation cohort and the external validation cohort, respectively.

CONCLUSION

The scoring system constructed using the preoperative serological variables predicted LNM in HCC patients.