A novel preoperative inflammation score system established for postoperative prognosis predicting of intrahepatic cholangiocarcinoma.

BACKGROUND: Inflammation is implicated in tumorigenesis and has been reported as an important prognostic factor in cancers. In this study, we aimed to develop and validate a novel inflammation score (IFS) system based on 12 inflammatory markers and explore its impact on intrahepatic cholangiocarcinoma (ICC) survival after hepatectomy. METHODS: Clinical data of 446 ICC patients undergoing surgical treatment were collected from the Primary Liver Cancer Big Data, and then served as a training cohort to establish the IFS. Furthermore, an internal validation cohort including 175 patients was used as internal validation cohort of the IFS. A survival tree analysis was used to divide ICC patients into three groups (low-, median-, and high- IFS-score groups) according to different IFS values. Kaplan-Meier (KM) curves were used to compare the overall survival (OS) and recurrence-free survival (RFS) rates among three different groups. Cox regression analyses were applied to explore the independent risk factors influencing OS and RFS. RESULTS: In the training cohort, 149 patients were in the low-IFS-score group, 187 in the median-IFS-score group, and 110 in the high-IFS-score group. KM curves showed that the high-IFS-score group had worse OS and RFS rates than those of the low- and median-IFS-score groups (P < 0.001) in both the training and validation cohorts. Moreover, multivariable Cox analyses identified high IFS as an independent risk factor for OS and RFS in the training cohort. The area under the curve values for OS prediction of IFS were 0.703 and 0.664 in the training and validation cohorts, respectively, which were higher than those of the American Joint Committee on Cancer (AJCC) 7th edition TNM stage, AJCC 8th edition TNM stage, and the Child-Pugh score. CONCLUSION: Our results revealed the IFS was an independent risk factor for OS and RFS in patients with ICC after hepatectomy and could serve as an effective prognostic prediction system in daily clinical practice.

Development and validation a radiomics nomogram for predicting thymidylate synthase status in hepatocellular carcinoma based on Gd-DTPA contrast enhanced MRI.

OBJECTIVES: The purpose of this study was to develop and validate a radiomics nomogram for predicting thymidylate synthase (TYMS) status in hepatocellular carcinoma (HCC) by using Gd-DTPA contrast enhanced MRI. METHODS: We retrospectively enrolled 147 consecutive patients with surgically confirmed HCC and randomly allocated to training and validation set (7:3). The TYMS status was immunohistochemical determined and classified into low TYMS (positive cells ≤ 25%) and high TYMS (positive cells > 25%) groups. Radiomics features were extracted from the arterial phases and portal venous phase of Gd-DTPA contrast enhanced MRI. Least absolute shrinkage and selection operator (LASSO) were applied for generating the Rad score. Clinical data and MRI findings were assessed to build a clinical model. Rad score combined with clinical features was used to construct radiomics nomogram. RESULTS: A total of 2260 features were extracted and reduced to 7 features as the most important discriminators to build the Rad score. InAFP was identified as the only independent clinical factors for TYMS status. The radiomics nomogram showed good discrimination in training (AUC, 0.759; 95% CI 0.665-0.838) and validation set (AUC, 0.739; 95% CI 0.585-0.860), and showed better discrimination capability (P < 0.05) compared with clinical model in training (AUC, 0.656; 95% CI 0.555-0.746) and validation set (AUC, 0.622; 95% CI 0.463-0.764). CONCLUSIONS: The radiomics nomogram shows favorable predictive efficacy for TYMS status in HCC, which might be helpful for the personalized treatment of HCC.

Pyroptosis related genes signature predicts prognosis and immune infiltration of tumor microenvironment in hepatocellular carcinoma.

Little is known on the relationship between the expression of pyroptosis related genes (PRGs) and prognosis of hepatocellular carcinoma (HCC). In this study, a specific PRGs prognostic model was developed with an aim to improve therapeutic efficiency among HCC patients. In total, 42 PRGs that were differentially expressed between HCC tissues and adjacent tissues and we exhibited the mutation frequency, classification, the location of copy number variation (CNV) alteration and the CNV variation frequency of PRGs. Two clusters were distinguished by the consensus clustering analysis based on the 42 differentially expressed genes (DEGs). There were significant differences in clinical features including T stage, grade, gender, and stage among different clusters. Kaplan-Meier curve analysis showed that cluster 1 had a better prognosis than cluster 2. The prognostic value of PRGs for survival was evaluated to construct a multigene signature using The Cancer Genome Atlas (TCGA) cohort. Based on the univariate analysis and multivariate analysis, a 10-gene signature was built and all HCC patients in the TCGA cohort were divided into low-risk group and high-risk group. HCC patients in the high-risk group showed significantly lower survival possibilities than those in the low-risk group (P < 0.001). Utilizing the median risk score from the TCGA cohort, HCC patients from International Cancer Genome Consortium (ICGC)-LIRI-JP cohort and Gene Expression Omnibus (GEO) cohort (GSE14520) were divided into two risk subgroups. The result showed that overall survival (OS) time was decreased in the high-risk group. Combined with the clinical characteristics, the risk score was an independent factor for predicting the OS of HCC patients. Then, ROC curve and survival analysis were performed to evaluate the prognostic prediction value of the model. Finally, we constructed a PRGs clinical characteristics nomogram to further predict HCC patient survival probability. There were significant differences in immune cell infiltration, GSEA enrichment pathway, IC50 of chemotherapeutics, PRGs mutation frequency between high-risk group and low-risk group. This work suggests PRGs signature played a crucial role in predicting the prognosis, infiltration of cancer microenvironment, and sensitivity of chemotherapeutic agents.

Clinical Significance of Alpha-Fetoprotein in Alpha-Fetoprotein Negative Hepatocellular Carcinoma Underwent Curative Resection.

BACKGROUND: The clinical value of alpha-fetoprotein (AFP) in patients with AFP-negative (< 20 ng/ml) hepatocellular carcinoma (HCC) who underwent curative resection remained controversial. AIMS: To investigate clinical relevance and prognostic effect of preoperative serum AFP level in this subgroup. METHODS: A total of 1879 patients with AFP-negative HCC who underwent curative resection were included in the study. Overall survival (OS) and disease-free survival (DFS) rate were displayed by Kaplan-Meier method and compared by log-rank test. Multivariate cox proportional hazard regression analysis was used to identify the independent prognostic factors. The prognostic predictive performance was analyzed by time-dependent areas under receiver operating characteristic curve (AUC). RESULTS: Even in AFP-negative HCC, patients with high preoperative serum AFP level tended to have multiple tumor (P < 0.001), poorer differentiation of tumor cell (P < 0.001), presence of satellite nodules (P < 0.001), and MVI (P = 0.002). Kaplan-Meier analysis showed the adverse impact of AFP level on prognosis, especially for DFS. Multivariate analysis identified AFP as the independent unfavorable factor for OS and DFS (P < 0.001 for both). Time-dependent AUC analysis showed that the combination with AFP could improve the prognostic predictive performance of 8th AJCC and BCLC staging system. CONCLUSIONS: AFP was still the surrogate of aggressive behavior of HCC and independent prognostic factor for patients with AFP-negative HCC underwent curative resection. Even combining with such a low level of AFP could significantly improve the predictive performance of conventional staging system.

An MR-based radiomics model for differentiation between hepatocellular carcinoma and focal nodular hyperplasia in non-cirrhotic liver.

PURPOSE: We aimed to develop and validate a radiomics model for differentiating hepatocellular carcinoma (HCC) from focal nodular hyperplasia (FNH) in non-cirrhotic livers using Gd-DTPA contrast-enhanced magnetic resonance imaging (MRI). METHODS: We retrospectively enrolled 149 HCC and 75 FNH patients treated between May 2015 and May 2019 at our center. Patients were randomly allocated to a training (n=156) and validation set (n=68). In total, 2260 radiomics features were extracted from the arterial phase and portal venous phase of Gd-DTPA contrast-enhanced MRI. Using Max-Relevance and Min-Redundancy, random forest, least absolute shrinkage, and selection operator algorithm for dimensionality reduction, multivariable logistic regression was used to build the radiomics model. A clinical model and combined model were also established. The diagnostic performance of the models was compared. RESULTS: Eight radiomics features were chosen for the radiomics model, and four clinical factors (age, sex, HbsAg, and enhancement pattern) were chosen for the clinical model. A combined model was built using the factors from the previous models. The classification accuracy of the combined model differentiated HCC from FNH in both the training and validation sets (0.956 and 0.941, respectively). The area under the receiver operating characteristic curve of the combined model was significantly better than that of the clinical model for both the training (0.984 vs. 0.937, p=0.002) and validation (0.972 vs. 0.903, p=0.032) sets. CONCLUSIONS: The combined model provided a non-invasive quantitative method for differentiating HCC from FNH in non-cirrhotic liver with high accuracy. Our model may assist clinicians in the clinical decision-making process.

The impact of PD-1 inhibitors on prognosis in unresectable hepatocellular carcinoma treated with TACE and lenvatinib: a retrospective study.

Our aim was to explore whether programmed death receptor-1 (PD-1) inhibitors would improve the prognosis of unresectable hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE) plus lenvatinib. In this single-center retrospective study, patients with unresectable HCC who underwent TACE and were administered lenvatinib with or without PD-1 inhibitors were enrolled and divided into the TACE + lenvatinib group and TACE + lenvatinib + PD-1 group. Overall survival (OS), progression-free survival (PFS) and tumor response were assessed by the Response Evaluation Criteria in Solid Tumors (RECIST v1.1 and mRECIST). Treatment-related adverse events (AEs) were evaluated according to the Common Terminology Criteria for Adverse Events (CTCAE, version 5.0). In total, 35 eligible patients with unresectable HCC were included; 82.9% of patients had Hepatitis B virus (HBV) infection, and 88.6% of patients had liver cirrhosis. A total of 88.6% of patients had multiple tumors, and the median diameter of the largest tumor was 10.1 cm. A total of 14.3% of patients had extrahepatic metastasis, and 51.4% of patients had portal vein tumor thrombus. The percentages of BCLC stages A, B and C were 5.7%, 28.6% and 65.7%, respectively. There were 16 patients in the TACE + lenvatinib group and 19 patients in the TACE + lenvatinib + PD-1 group. The median follow-up time was 7.7 months (ranging from 1.7 to 31.6 months). Neither group reached the median overall survival. Under RECIST v1.1 criteria, the median PFS was 10.4 and 7.9 months in the TACE + lenvatinib and TACE + lenvatinib + PD-1 groups (HR, 1.13; 95% CI 0.45-2.84; p = 0.80), the objective response rates (ORR) were 31.3% and 31.6% (p > 0.05), and the disease control rates (DCR) were 93.8% and 78.9% (p > 0.05), respectively. Under mRECIST criteria, the median PFS was 10.4 and 10.1 months (HR, 0.98; 95% CI 0.38-2.54, p = 0.97), the ORR was 62.5% and 63.2% (p > 0.05), and the DCR was 93.8% and 73.7% (p > 0.05), respectively. Overall, AEs were relatively similar between the two groups. PD-1 inhibitors did not improve the PFS and tumor response of unresectable HCC treated with TACE plus lenvatinib. Hepatitis B infection, liver cirrhosis, portal vein tumor thrombus, multiple tumors and large tumor diameter may be potential factors that affect the efficacy of PD-1 inhibitors but need further validation.

Impact of portal hypertension on short- and long-term outcomes after liver resection for intrahepatic cholangiocarcinoma: A propensity score matching analysis.

OBJECTIVE: We explored the impact of clinically significant portal hypertension (CSPH) on short- and long-term outcomes of intrahepatic cholangiocarcinoma (ICC) after liver resection (LR). METHODS: Data of 352 ICC patients with cirrhosis who underwent LR were extracted from the Primary Liver Cancer Big Data (PLCBD) between 2005 and 2015 and reviewed. A nomogram based on logistic analyses was developed to illustrate the influencing factors of post-hepatectomy liver failure (PHLF). The impact of CSPH on long-term survival was explored through propensity score matching (PSM) analysis, log-rank test, Cox proportional hazards model, and Kaplan-Meier curves. RESULTS: A total of 106 patients had CSPH, and 246 patients did not. A nomogram established based on GGT level, CSPH, intraoperative blood loss, and multiple tumors had an area under the receiver operating characteristic curve of 0.721 (95% confidence interval [CI] = 0.630-0.812), which displayed a better PHLF predictive value than the MELD score (0.639, 95% CI = 0.532-0.747) and Child-Pugh score (0.612, 95% CI = 0.506-0.719). Moreover, the patients with CSPH had worse overall survival (OS) rates than the patients without CSPH in the whole cohort (p = 0.011) and PSM cohort (p = 0.017). After PSM, multivariable Cox analyses identified that CSPH was an independent risk factor for OS (hazard ratio = 1.585, 95% CI = 1.107-2.269; p = 0.012). CONCLUSION: CSPH is a significant risk factor for PHLF and OS in ICC patients with cirrhosis after surgery. Selecting the proper patients before operation can effectively avoid PHLF and improve the prognosis of ICC.

Prognostic and Predictive Value of Transcription Factors Panel for Digestive System Carcinoma.

PURPOSE: Digestive system carcinoma is one of the most devastating diseases worldwide. Lack of valid clinicopathological parameters as prognostic factors needs more accurate and effective biomarkers for high-confidence prognosis that guide decision-making for optimal treatment of digestive system carcinoma. The aim of the present study was to establish a novel model to improve prognosis prediction of digestive system carcinoma, with a particular interest in transcription factors (TFs). MATERIALS AND METHODS: A TF-related prognosis model of digestive system carcinoma with data from TCGA database successively were processed by univariate and multivariate Cox regression analyses. Then, for evaluating the prognostic prediction value of the model, ROC curve and survival analysis were performed by external data from GEO database. Furthermore, we verified the expression of TFs expression by qPCR in digestive system carcinoma tissue. Finally, we constructed a TF clinical characteristics nomogram to furtherly predict digestive system carcinoma patient survival probability with TCGA database. RESULTS: By Cox regression analysis, a panel of 17 TFs (NFIC, YBX2, ZBTB47, ZNF367, CREB3L3, HEYL, FOXD1, TIGD1, SNAI1, HSF4, CENPA, ETS2, FOXM1, ETV4, MYBL2, FOXQ1, ZNF589) was identified to present with powerful predictive performance for overall survival of digestive system carcinoma patients based on TCGA database. A nomogram that integrates TFs was established, allowing efficient prediction of survival probabilities and displaying higher clinical utility. CONCLUSION: The 17-TF panel is an independent prognostic factor for digestive system carcinoma, and 17 TFs based nomogram might provide implication an effective approach for digestive system carcinoma patient management and treatment.

Distinct Impacts of Pre-Operative Antiviral Treatment on Post-Operative Outcomes of HBV-related Hepatocellular Carcinoma: A Landmark Analysis.

Background: The effect of anti-viral treatment (AVT) initiated before surgery (pre-operative AVT) on HBV-related hepatocellular carcinoma (HCC) has been controversial. This study aimed to elucidate the prognostic significance of pre-operative AVT for HCC patients who received hepatectomy. Materials and Methods: A large-scale retrospective study was conducted based on a cohort consisting of 1937 HBV-related HCC patients who underwent R0 liver resection between January 2011 and December 2012. Propensity score matching (PSM) method was adopted to balance covariates and landmark survival analyses were performed to visualize effects in different phases after surgery. Results: After PSM, a total of matched 744 patients (372 in each group) were recruited. The patients in the pre-operative AVT group had lower HBV-DNA loading levels and better recurrence-free survival (RFS) than those in the non-AVT group. The 1, 3, 5-year RFS rates of two groups were 67.3%, 49.0%, and 43.1% vs. 66.7%, 41.1% and 18.5%, respectively (P<0.001). Landmark survival analyses demonstrated that pre-operative AVT could improve RFS, and the effect was beginning to show after the first 12 months. There was no significant difference of overall survival (OS) between the two groups (P=0.543), and the landmark survival analyses indicated that pre-operative AVT could improve OS and this effect was beginning to show after 36 months. Additionally, multivariate Cox regression analyses revealed that larger tumor (>5cm), esophageal and gastric varices, lymph node metastasis were independent risk factors of RFS, and larger tumor (>5cm) and ascites were independent risk factors of OS. Conclusions: Pre-operative AVT could significantly improve the RFS, and could not improve short-term OS (< 36 months) but could better long-term survival of the patients with HBV-HCC after surgery.

Pre- and Postoperative Models for Prediction of Recurrence in Non-B, Non-C Hepatocellular Carcinoma.

BACKGROUND AND AIMS: The incidence of non-B, non-C hepatocellular carcinoma (NBNC-HCC) is increasing. Like in hepatitis B virus (HBC)/HCV-associated HCC, treatment of NBNC-HCC after resection is challenging due to its high recurrence rate. However, few studies on the recurrence of NBNC-HCC have been published in the past decades. Hence, we aimed to investigate the risk factors for recurrence of NBNC-HCC and construct pre- and postoperative prognostic models for predicting recurrence in these patients who underwent curative resection. METHODS: We retrospectively analyzed 608 patients who underwent liver resection for NBNC-HCC. A multivariate Cox proportional hazard regression analysis was conducted to identify the independent risk factors of recurrence, based on which the prediction nomogram models were constructed and validated. The predictive performance of the models was assessed using the concordance index, time-dependent receiver operating characteristic curve, prediction error cure, and calibration curve. To facilitate clinical use, we stratified the patients into three distinct risk groups based on the score of the models. The cutoff scores of the models were determined by a survival tree analysis. RESULTS: Multivariable analysis identified neutrophil-to-lymphocyte ratio, alpha fetoprotein, tumor number, and tumor diameter as independent preoperative risk factors for recurrence. In addition to these variables, microvascular invasion was an independent postoperative risk factor for recurrence. The pre- and postoperative nomograms were constructed based on these variables. The C-index of the pre- and postoperative nomograms was 0.689 and 0.702 in the training cohort, 0.682 and 0.688 in the validation cohort, respectively, which were both higher than those of the conventional Barcelona Clinic Liver Cancer (BCLC) and 8th edition of the American Joint Committee on Cancer (AJCC8th) staging systems. In addition, the pre- and postoperative nomograms could also re-stratify patients with BCLC stage 0/A or AJCC8th stage IA/IB/II into distinct risk groups. CONCLUSIONS: We constructed pre- and postoperative prognostic models for predicting recurrence in patients with NBNC-HCC who underwent curative resection. They can play a supplementary role to the traditional staging system.

Postoperative Adjuvant Transarterial Chemoembolization Improves Short-Term Prognosis of Hepatocellular Carcinoma with Bile Duct Tumor Thrombus: A Propensity-Score Matching Study.

PURPOSE: To evaluate the effect of postoperative adjuvant transarterial chemoembolization (PA-TACE) on the prognosis of hepatocellular carcinoma (HCC) with macroscopic bile duct tumor thrombus (BDTT). PATIENTS AND METHODS: This study included 109 patients who underwent R0 resection for HCC with BDTT between January 2008 and December 2017: non-TACE (48) and PA-TACE (61). Propensity-score matching (PSM) was conducted in a 1:1 ratio. Recurrence and overall survival (OS) rates were analyzed using the Kaplan-Meier method. Independent risk factors were identified by univariate and multivariate Cox regression analyses. Subgroup analysis was performed by risk-factor stratification. RESULTS: The recurrence rates in the non-TACE and PA-TACE groups were different at 6 months (50.9% vs 26.9%, P=0.03) before PSM and at 6 months (59.3% vs 26.5%, P=0.02) and 12 months (81.4% vs 37.5%, P=0.022) after PSM. OS rates of the non-TACE and PA-TACE groups were different at 6 months (74.0% vs 91.6%, P<0.001) and 12 months (61.1% vs 77.6%, P=0.01) before PSM and at 6 months (73.0% vs 96.8%, P=0.01), 12 months (52.1% vs 89.6%, P=0.001), and 18 months (33.8% vs 64.4%, P=0.034) after PSM. PA-TACE was an independent prognostic factor for both recurrence and OS before and after PSM. Subgroup analysis showed that patients with no HBV infection, tumors >5 cm, macrovascular invasion, alpha-fetoprotein (AFP) >400 ng/mL, or gamma-glutamyl transferase (GGT) >150 U/L benefited significantly from PA-TACE in terms of recurrence rates (all P<0.05). Patients with no HBV infection, multiple tumors, tumors >5 cm, macrovascular invasion, or AFP >400 ng/mL benefited significantly from PA-TACE in terms of OS (all P<0.05). CONCLUSION: PA-TACE could prolong the short-term prognosis of HCC with macroscopic BDTT and should be recommended for patients with no HBV infection, multiple tumors, tumors >5 cm, poor differentiation, macrovascular invasion, AFP >400 ng/mL, or GGT >150 U/L.

Development and Validation of a Prognostic Nomogram to Predict the Long-Time Prognosis in Non-B, Non-C Hepatocellular Carcinoma.

PURPOSE: To develop and validate a nomogram for individualized prediction of the long-term prognosis of patients with non-B, non-C hepatocellular carcinoma (NBNC-HCC) who underwent hepatectomy. MATERIALS AND METHODS: Five hundred ninety-four patients who met the criteria were included in the research and randomly categorized into the training or validation cohort. The nomogram was constructed on the basis of the independent risk variables that were acquired via multivariate Cox proportional hazard regression analysis. Several complementary methods included the Harrell c-index, time-dependent areas under the receiver operating characteristic curve (tdAUC), and calibration plot, and the Kaplan-Meier curve with Log rank test were used to test predictive performance of the model. The clinical utility of the model was tested by the decision cure analysis (DCA). RESULTS: Tumor diameter, tumor number, elevated serum gamma-glutamyl transpeptidase (GGT) level, microvascular invasion (MVI), and macrovascular invasion were independent risk factors of prognosis of NBNC-HCC. C-indexes of the nomogram were 0.702 (95% confidence interval [CI], 0.662-0.741) in the training cohort and 0.700 (95% CI, 0.643-0.758) in the validation cohort, and median tdAUC values of the nomogram were 0.743 (range, 0.736-0.775) in the training cohort and 0.751 (range, 0.686-0.793) in the validation cohort, which were both higher than those in the conventionally used Barcelona Clinic Liver Cancer staging system, American Joint Committee on Cancer, and eighth edition and the model of Zhang et al. The calibration plot depicted a good consistency between prediction of the model and observed outcome. The Kaplan-Meier curve analysis showed that the model was able to separate patients into three distinct risk subgroups. The DCA analysis also demonstrated that the nomogram was clinically useful. CONCLUSION: We developed and validated a nomogram that was accurate and clinically useful in patients with NBNC-HCC who underwent hepatectomy.