Development and validation of a novel preoperative clinical model for predicting lymph node metastasis in perihilar cholangiocarcinoma.

BACKGROUD: We aimed to develop a novel preoperative nomogram to predict lymph node metastasis (LNM) in perihilar cholangiocarcinoma (pCCA) patients. METHODS: 160 pCCA patients were enrolled at Lihuili Hospital from July 2006 to May 2022. A novel nomogram model was established to predict LNM in pCCA patients based on the independent predictive factors selected by the multivariate logistic regression model. The precision of the nomogram model was evaluated through internal and external validation with calibration curve statistics and the concordance index (C-index). Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to evaluate and determine the clinical utility of the nomogram. RESULTS: Multivariate logistic regression demonstrated that age (OR = 0.963, 95% CI: 0.930-0.996, P = 0.030), CA19-9 level (> 559.8 U/mL vs. ≤559.8 U/mL: OR = 3.162, 95% CI: 1.519-6.582, P = 0.002) and tumour diameter (OR = 1.388, 95% CI: 1.083-1.778, P = 0.010) were independent predictive factors of LNM in pCCA patients. The C-index was 0.763 (95% CI: 0.667-0.860) and 0.677 (95% CI: 0.580-0.773) in training cohort and validation cohort, respectively. ROC curve analysis indicated the comparative stability and adequate discriminative ability of nomogram. The sensitivity and specificity were 0.820 and 0.652 in training cohort and 0.704 and 0.649 in validation cohort, respectively. DCA revealed that the nomogram model could augment net benefits in the prediction of LNM in pCCA patients. CONCLUSIONS: The novel prediction model is useful for predicting LNM in pCCA patients and showed adequate discriminative ability and high predictive accuracy.

Protective effects of piperlongumine against adjuvant-induced arthritis in rats through modulating OPG/RANKL/NF-κB signaling pathway.

OBJECTIVES: We examined the antirheumatoid effects of piperlongumine (PLM) on rat adjuvant-induced arthritis (AIA) and explored the underlying mechanisms involved. METHODS: PLM (2.5, 5, and 10 mg/kg) was administered intraperitoneally to AIA rats to assess its effectiveness. Blood, thymus, spleen, ankle joint, and synovial tissue samples were gathered for subsequent analyses, like enzyme-linked immunosorbent assay, thymus/spleen index measurement, ankle joint pathological examination, immunohistochemistry assay, polymerase chain reaction, and western blot assay. Moreover, the involvement of osteoprotegerin (OPG)/receptor activators of nuclear factor κB ligand (RANKL)/nuclear factor-κB (NF-κB) signaling was investigated. KEY FINDINGS: PLM effectively relieved inflammation and joint destruction in AIA rats, as indicated by reductions in hind paw swelling, arthritis index, thymus/spleen index, ankle joint pathological damage, production of TNF-α, IL-1ß, and IL-6 in both serum and synovium, and osteoclast formation. Also, PLM treatment raised OPG production, reduced RANKL expression, and elevated the OPG/RANKL ratio in synovial tissues. Furthermore, PLM prevented IκBα degradation and phosphorylation, resulting in a reduced expression of the nuclear NF-κB p65 protein in AIA rat synovial tissues. CONCLUSIONS: PLM demonstrated strong antiarthritic effects in rats with AIA by influencing the OPG/RANKL/NF-κB signaling pathway, highlighting its potential clinical relevance in treating rheumatoid arthritis.

Exploring the risk factors of early sepsis after liver transplantation: development of a novel predictive model.

Background: Sepsis is a severe and common complication of liver transplantation (LT) with a high risk of mortality. However, effective tools for evaluating its risk factors are lacking. Therefore, this study identified the risk factors of early post-liver transplantation sepsis and established a nomogram. Methods: We analyzed the risk factors of post-liver transplantation sepsis in 195 patients. Patients with infection and a systemic inflammatory response syndrome (SIRS) score ≥ 2 were diagnosed with sepsis. The predictive indicators were screened with the least absolute shrinkage and selection operator (LASSO) and collinearity analyses to develop a nomogram. The prediction performance of the new nomogram model, Sequential Organ Failure Assessment (SOFA) score, and Modified Early Warning Score (MEWS) was compared through assessment of the area under the curve (AUC), decision curve analysis (DCA), net reclassification index (NRI), and integrated discrimination improvement (IDI). Results: The nomogram was based on postoperative heart rate, creatinine concentration, PaO2/FiO2 ratio < 400 mmHg, blood glucose concentration, and international normalized ratio. The AUC of the nomogram, the SOFA score, and MEWS were 0.782 (95% confidence interval CI: 0.716-0.847), 0.649 (95% CI: 0.571-0.727), and 0.541 (95% CI: 0.469-0.614), respectively. The DCA curves showed that the net benefit rate of the nomogram was higher than that of the SOFA score and MEWS. The NRI and IDI tests revealed better predictive performance for the nomogram than SOFA score and MEWS. Conclusion: Heart rate, creatinine concentration, PaO2/FiO2, glucose concentration, and international normalized ratio should be monitored postoperatively for patients at risk of post-liver transplantation sepsis. The nomogram based on the aforementioned risk factors had a better predictive performance than SOFA score and MEWS.

Short-Term Monitoring of Graft Regeneration in Partial Liver Transplantation Recipients.

BACKGROUND Liver regeneration after partial liver transplantation, including living donor liver transplantation and split liver transplantation, is important for successful transplantation. MATERIAL AND METHODS We retrospectively analyzed 68 patients who underwent partial liver transplantation and calculated their regeneration index (RI)-based difference in postoperative and preoperative liver volume. We collected clinical data of donors and recipients and analyzed the correlation between clinical characteristics and RI. According to the above results, the generalized estimating equation (GEE) model included white blood cell count (WBC), neutrophils, lymphocytes, platelets, prothrombin time (PT), and activated partial thromboplastin time (APTT) on Days 1, 3, and 7 after LT and was used to predict the RI. RESULTS The mean RI was 40%, which was used as the cutoff value to divide all patients to the high-RI group and the low-RI group. The percentage of Child-Pugh C patients was 44% in the high-RI group, which was significantly more than that (21%) in the low-RI group (P=0.038). Among the postoperative monitoring parameters, neutrophil (P=0.044) and platelet (P=0.036) levels declined in the high-RI group on Day 3, while APTT was higher on Day 1 compared to the low-RI group. The predictive model based on GEE analysis achieved a good effect, with the area under the receiver operating characteristic curve on Day 1 (0.681; 95% CI, 0.556-0.807) and Day 3 (0.705; 95% CI, 0.578-0.832) showing significant differences (P=0.010 and 0.004, respectively). CONCLUSIONS The combination of decreased counts of WBC, neutrophils, lymphocytes, and platelets, as well as elevated PT and APTT on Day 3 after LT showed a good capability to predict a higher rate of liver regeneration after partial liver transplantation.

Comparison of Postoperative Hemorrhage Risk After Partial Liver Transplantation Versus Whole Liver Transplantation: A Single-Center Experience.

BACKGROUND: We aimed to identify risk factors associated with reoperation for postoperative intraperitoneal hemorrhage (PIH) after orthotopic liver transplantation and investigate if partial liver transplantation (PLT) increases the risk of PIH. METHODS: We retrospectively analyzed the medical records of 304 consecutive recipients who underwent orthotopic liver transplantation at the Affiliated Lihuili Hospital, Ningbo University, from January 2016 to July 2022. Data were compared between recipients who experienced PIH requiring reoperation and those who did not. Subgroup propensity score matching analysis was performed to assess the impact of PLT on PIH risk. Neither prisoners nor participants who were coerced or paid were used in the study. RESULTS: Among the 304 recipients, 22 (7.2%) underwent reoperation for PIH. Multivariate analysis revealed that the recipient Model for End-Stage Liver Disease (MELD) score (odds ratio = 1.066, 95% CI [1.025-1.109], P = .001) and volume of intraoperative packed red blood cell transfusion (odds ratio = 1.089, 95% CI [1.032-1.481], P = .002) were independent risk factors for PIH. No significant differences were observed in the risk of PIH between PLT and whole liver transplantation. CONCLUSION: Preoperative MELD score and intraoperative packed red blood cell transfusion should be carefully considered to manage the risk of PIH in liver transplantation recipients. Partial liver transplantation, a crucial approach for addressing donor shortages, does not increase the risk of reoperation for PIH in recipients.

A new prognostic model predicting hepatocellular carcinoma early recurrence in patients with microvascular invasion who received postoperative adjuvant transcatheter arterial chemoembolization.

BACKGROUD: In this study, we aimed to develop a prognostic model to predict HCC early recurrence (within 1-year) in patients with microvascular invasion who received postoperative adjuvant transcatheter arterial chemoembolization (PA-TACE). METHODS: A total of 148 HCC patients with MVI who received PA-TACE were included in this study. The modes were verified in an internal validation cohort (n = 112) and an external cohort (n = 36). Univariate and multivariate Cox regression analyses were performed to identify the independent prognostic factors relevant to early recurrence. A clinical nomogram prognostic model was established, and nomogram performance was assessed via internal validation and calibration curve statistics. RESULTS: After data dimensionality reduction and element selection, multivariate Cox regression analysis indicated that alpha fetoprotein level, systemic inflammation response index, alanine aminotransferase, tumour diameter and portal vein tumour thrombus were independent prognostic factors of HCC early recurrence in patients with MVI who underwent PA-TACE. Nomogram with independent factors was established and achieved a better concordance index of 0.765 (95% CI: 0.691-0.839) and 0.740 (95% CI: 0.583-0.898) for predicting early recurrence in training cohort and validation cohort, respectively. Time-dependent AUC indicated comparative stability and adequate discriminative ability of the model. The DCA revealed that the nomogram could augment net benefits and exhibited a wider range of threshold probabilities than AJCC T stage. CONCLUSIONS: The nomogram prognostic model showed adequate discriminative ability and high predictive accuracy.

Development and validation of a nomogram to predict liver metastasis for pancreatic ductal adenocarcinoma after radical resection.

Objectives: This study aimed to develop and externally validate a nomogram for predicting liver metastasis after radical resection in patients with pancreatic ductal adenocarcinoma (PDAC). Methods: A total of 247 PDAC patients who underwent radical resection were retrospectively reviewed from January 2015 to March 2022 at Ningbo Medical Centre Lihuili Hospital Eastern Section, and used as a training cohort to develop the nomogram. 83 PDAC patients from the Ningbo Medical Centre Lihuili Hospital Xingning Section were enrolled as the validation cohort. The postoperative liver metastasis was recorded during the follow-up, and the liver metastasis-free survival was defined as the time from operation to the date of liver metastasis diagnosis or death. The nomogram was established based on independent prognostic factors selected by LASSO and multivariate Cox regression model. The performance was assessed using the concordance index (C-index) and calibration curves. The receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to determine the clinical utility of the nomogram model. Results: From the training cohort of 247 patients, a total of 132 patients developed liver metastasis during the follow-up, the 1-, 2- and 3- year liver metastasis-free survival were 52.4%, 43.5% and 40% respectively. The LASSO and multivariate Cox regression analysis indicated that postoperative CA125 (hazard ratio [HR] = 1.007, p <0.001), tumor differentiation (HR = 1.640, p = 0.010), tumor size (HR = 1.520, p = 0.029), lymph node ratio (HR = 1.897, p = 0.002) and portal/superior mesenteric/splenic vein invasion degree (PV/SMV/SV) (HR = 2.829, p <0.001) were the independent factors of liver metastasis. A nomogram with independent factors was developed and the C-index was 0.760 (95% confidence interval [CI], 0.720-0.799) and 0.739 (95% CI, 0.669-0.810) in the training and validation cohorts, respectively. The areas under curve (AUC) of the nomogram at 1-, 2- and 3-year were 0.815, 0.803 and 0.773 in the training cohort, and 0.765, 0.879 and 0.908 in the validation cohort, respectively, higher than those in TNM stage. Decision curve analysis (DCA) analysis revealed that the nomogram model provided superior net benefit in clinical utility. Liver metastasis-free survival curves showed a significant discriminatory ability for liver metastasis risk based on the nomogram (p <0.001). Conclusions: The nomogram showed high accuracy in predicting liver metastasis for PDAC after radical resection, and may serve as a clinical support tool to guide personalized and prescient intervention.

Predictive Value of the TP53 p.G245S Mutation Frequency for the Short-Term Recurrence of Hepatocellular Carcinoma as Detected by Pyrophosphate Sequencing.

Aims: We explored the relationship between the mutation at the p.G245S site in TP53 and the short-term recurrence of hepatocellular carcinoma (HCC). Materials and Methods: 101 HCC patients were included in this study. The TP53 p.G245S mutation frequency spectrum was examined by direct sequencing of genomic DNA from tissue specimens of HCC patients. Univariate and multivariate Cox regression analyses were performed to evaluate the independent prognostic factors of tumor recurrence. ROC curve analysis was applied to determine the cut-off value for the p.G245S mutation frequency and to verify the predictive ability of the Cox model compared with single risk factor indices. Results: A multivariate Cox regression analysis showed that TP53 p.G245S mutation frequency (HR = 1.231, 95% CI: 1.006-1.505, p = 0.043), AFP (HR = 2.432, 95% CI: 1.297-4.561, p = 0.006), MTM (HR = 2.656, 95% CI: 0.930-7.583, p = 0.068), and PVTT (HR = 14.297, 95% CI: 3.085-66.243, p = 0.001) were independent prognostic factors for short-term recurrence. The cut-off value for the TP53 p.G245S mutation frequency (18.5%) was determined by ROC analysis. A predictive model integrating the TP53 p.G245S mutation frequency with PVTT, MTM, and AFP values appears to an excellent predictive indicator of short-term recurrence in HCC patients (AUC = 0.849, 95% CI = 0.748-0.950, p = 0.000001). Survival analysis indicated that the probability of short-term recurrence-free survival was significantly different among different TP53 p.G245S mutation frequency, MTM, PVTT, and AFP risk groups (p < 0.05). Conclusion: The mutation frequency of the p.G245S site is a novel prognostic risk factor for the short-term recurrence of HCC.

Gallbladder neuroendocrine carcinoma diagnosis, treatment and prognosis based on the SEER database: A literature review.

BACKGROUND: Gallbladder neuroendocrine carcinoma (GB-NEC) has a low incidence rate; therefore, its clinical characteristics, diagnosis, treatment and prognosis are not well explored. AIM: To review recent research and analyze corresponding data in the Surveillance Epidemiology and End Results (SEER) database. METHODS: Data of GB-NEC (n = 287) and gallbladder adenocarcinoma (GB-ADC) (n = 19 484) patients from 1975 to 2016 were extracted from the SEER database. Survival analysis was performed using Kaplan-Meier and Cox proportional hazards regression. P < 0.05 was considered statistically significant. We also reviewed 108 studies retrieved from PubMed and Reference Citation Analysis (https://www.referencecitationanalysis.com/). The keywords used for the search were: "(Carcinoma, Neuroendocrine) AND (Gallbladder Neoplasms)". RESULTS: The GB-NEC incidence rate was 1.6% (of all gallbladder carcinomas), male to female ratio was 1:2 and the median survival time was 7 mo. The 1-, 2-, 3- and 5-year overall survival (OS) was 36.6%, 17.8%, 13.2% and 7.3% respectively. Serum chromogranin A levels may be a specific tumor marker for the diagnosis of GB-NEC. Elevated carcinoembryonic antigen, carbohydrate antigen (CA)-19-9 and CA-125 levels were associated with poor prognosis. Age [hazard ratio (HR) = 1.027, 95% confidence interval (CI): 1.006-1.047, P = 0.01] and liver metastasis (HR = 3.055, 95% CI: 1.839-5.075, P < 0.001) are independent prognostic risk factors for OS. Patients with advanced GB-NEC treated with surgical resection combined with radiotherapy and/or chemotherapy may have a better prognosis than those treated with surgical resection alone. There was no significant difference in OS between GB-NEC and GB-ADC. CONCLUSION: The clinical manifestations and prognosis of GB-NEC are similar to GB-ADC, but the treatment is completely different. Early diagnosis and treatment are the top priorities.

Nomogram for the Preoperative Prediction of the Macrotrabecular-Massive Subtype of Hepatocellular Carcinoma.

Background: The macrotrabecular-massive subtype of hepatocellular carcinoma (MTM-HCC) is an aggressive histological type and results in poor prognosis. We developed a nomogram model based on laboratory results to predict the presence of MTM-HCC. Methods: A total of 357 HCC patients who underwent radical surgery between January 2015 and December 2020 at Ningbo Medical Center Lihuili Hospital were grouped according to histological type. After propensity score matching (PSM), 267 patients were divided into MTM-HCC (n = 76) and non-MTM-HCC (n = 191) groups. A LASSO regression analysis model was used to select predictive factors. Finally, a nomogram for predicting the presence of MTM-HCC was established. Decision curve analysis (DCA) was conducted to determine the clinical usefulness of the nomogram model by quantifying the net benefits along with the increase in threshold probabilities. Results: The 1-, 3-, and 5-year disease-free survival (DFS) and overall survival (OS) rates for MTM-HCC were 60.0%, 36.0%, 32.4% and 92.1%, 68.7%, 52.2%, respectively. Survival analysis indicated that the probabilities of achieving DFS and OS were significantly worse in the MTM-HCC group than in the non-MTM-HCC group (P < 0.05). The nomogram model that included AST levels, PT and AFP levels achieved a better C-index of 0.723 (95% CI: 0.659-0.787). DCA revealed that the nomogram model could lead to net benefits and exhibited a wider range of threshold probabilities in the prediction of MTM-HCC. Conclusion: The nomogram model included AST, PT and AFP could achieve an optimal performance in the preoperative prediction of MTM-HCC.

Chemical induction of leaf senescence and powdery mildew resistance involves ethylene-mediated chlorophyll degradation and ROS metabolism in cucumber.

Timely initiation of leaf senescence is an integral part of plant development and, importantly, an adaptive strategy by which plants cope with various stresses, e.g. to limit the spread of pathogens. Powdery mildew is a major cucumber disease that promotes the initiation/progression of leaf senescence and reduces leaf photosynthesis, resulting in severe losses of yield and quality. However, how powdery mildew induces leaf senescence and how cucumber plants respond to enhance their resistance remain unclear. Here, with established agrochemical induction and pathogen inoculation systems, we demonstrate that both probenazole (PBZ) and powdery mildew activate ethylene (ET) biosynthesis and signal transduction, consequently promoting leaf senescence and enhancing plant resistance to powdery mildew through CsEIN3 to directly upregulate the expression of CsCCGs and CsRBOHs. Our analysis convincingly suggests that the regulation of leaf senescence and powdery mildew resistance is interconnected and mediated mainly by ET in cucumber.

Risk Factors of Early Liver Metastasis for Pancreatic Ductal Adenocarcinoma after Radical Resection.

Background: Liver metastasis arises in many postoperative patients with PDAC, occurring in the early stage appears to lead to a very poor prognosis. Objective: We aimed to analyze the risk factors for early liver metastasis after radical resection for patients with pancreatic ductal adenocarcinoma (PDAC) and to indicate the poor prognosis of early liver metastasis. Methods: Patients who underwent pancreatectomy for PDAC at the Ningbo Medical Centre Lihuili Hospital between January 2015 and June 2021 were included. The exclusion criteria were death within 30 days after the operation, complications with other malignancies, and a positive final resection margin (R1). Liver metastasis and its occurrence time were recorded, and risk factors for early (≤6 months) liver metastasis were analyzed by logistic regression models. The prognosis of patients with early liver metastasis and different recurrence patterns was analyzed by Kaplan-Meier curves and the log-rank test. Results: From the identified cohort of 184 patients, 172 patients were included for further analysis. 55 patients developed early liver metastasis within 6 months after the operation. Univariate analysis showed that CA125 ≥ 30 IU/ml, tumor size ≥ 4 cm, poor tumor differentiation, and portal vein/superior mesenteric vein (PV/SMV) reconstruction were risk factors, and multivariate analysis showed that poor tumor differentiation and PV/SMV reconstruction were independent risk factors for early liver metastasis. The prognosis of liver metastasis was the worst among the different recurrence patterns. Early liver metastasis indicates a poor prognosis in patients with PDAC. Conclusions: Poor differentiation and PV/SMV reconstruction are independent risk factors for early liver metastasis in patients with PDAC, and early liver metastasis indicates a poor prognosis.

Transcriptomic analysis of Stropharia rugosoannulata reveals carbohydrate metabolism and cold resistance mechanisms under low-temperature stress.

Low temperature is an important environmental factor that restricts the growth of Stropharia rugosoannulata; however, the molecular mechanisms underlying S. rugosoannulata responses to low-temperature stress are largely unknown. In this study, we performed a transcriptome analysis of a high-sensitivity strain (DQ-1) and low-sensitivity strain (DQ-3) under low-temperature stress. The liquid hyphae of S. rugosoannulata treated at 25 °C and 10 °C were analyzed by RNA-Seq, and a total of 9499 differentially expressed genes (DEGs) were identified. GO and KEGG enrichment analyses showed that these genes were enriched in "xenobiotic biodegradation and metabolism", "carbohydrate metabolism", "lipid metabolism" and "oxidoreductase activity". Further research found that carbohydrate enzyme (AA, GH, CE, and GT) genes were downregulated more significantly in DQ-1 than DQ-3 and several cellulase activities were also reduced to a greater extent. Moreover, the CAT1, CAT2, GR, and POD genes and more heat shock protein genes (HSP20, HSP78 and sHSP) were upregulated in the two strains after low-temperature stress, and the GPX gene and more heat shock protein genes were upregulated in DQ-3. In addition, the enzyme activity and qRT-PCR results showed trends similar to those of the RNA-Seq results. This result indicates that low-temperature stress reduces the expression of different AA, GH, CE, and GT enzyme genes and reduces the secretion of cellulase, thereby reducing the carbohydrate metabolism process and mycelial growth of S. rugosoannulata. Moreover, the expression levels of different types of antioxidant enzymes and heat shock proteins are also crucial for S. rugosoannulata to resist low-temperature stress. In short, this study will provide a basis for further research on important signaling pathways, gene functions and variety breeding of S. rugosoannulata related to low-temperature stress.

IGF-1 contributes to liver cancer development in diabetes patients by promoting autophagy.

INTRODUCTION AND OBJECTIVES: Type 2 diabetes mellitus (T2DM) increases the occurrence and mortality of liver cancer. Insulin growth factor (IGF) plays a crucial role in the development of diabetes and liver cancer, and specifically, IGF-1 may be involved in the development of liver cancer with preexisting T2DM. Autophagy contributes to cancer cell survival and apoptosis. However, the relationship between IGF-1 and autophagy has rarely been evaluated. The purpose of this study was to investigate whether IGF-1 promotes the development of liver cancer in T2DM patients by promoting autophagy. MATERIALS AND METHODS: Thirty-three hepatocellular carcinoma (HCC) patients with T2DM and 33 age-matched patients with HCC without T2DM were included in this study. We analyzed the expression of IGF-1 and autophagy-related LC3 and p62 mRNA and the prognosis of two groups. In vitro, we stimulated HepG2 cells with IGF-1 and then detected changes in autophagy and cell proliferation, apoptosis, and migration in the presence/absence of wortmannin, an autophagy inhibitor. RESULTS: IGF-1 promoted autophagy, resulting in inhibition of apoptosis and induction of growth and migration of HepG2 cells. Inhibition of autophagy by wortmannin impaired IGF-1 function. Higher expression of IGF-1 was detected in HCC patients with T2DM. IGF-1 expression was higher in liver cancer tissue compared to paracancerous tissue. Elevated IGF-1 was associated with a poor prognosis in patients with HCC. CONCLUSIONS: IGF-1 participates in the development of liver cancer by inducing autophagy. Elevated IGF-1 was a prognostic factor for patients with HCC, especially when accompanied by T2DM.

Development of nomogram models of inflammatory markers based on clinical database to predict prognosis for hepatocellular carcinoma after surgical resection.

BACKGROUND: Inflammation plays a significant role in tumour development, progression, and metastasis. In this study, we focused on comparing the predictive potential of inflammatory markers for overall survival (OS), recurrence-free survival (RFS), and 1- and 2-year RFS in hepatocellular carcinoma (HCC) patients. METHODS: A total of 360 HCC patients were included in this study. A LASSO regression analysis model was used for data dimensionality reduction and element selection. Univariate and multivariate Cox regression analyses were performed to identify the independent risk factors for HCC prognosis. Nomogram prediction models were established and decision curve analysis (DCA) was conducted to determine the clinical utility of the nomogram model. RESULTS: Multivariate Cox regression analysis indicated that the prognostic nutritional index (PNI) and neutrophil-to-lymphocyte ratio (NLR) were independent prognostic factors of OS, and aspartate aminotransferase-to-platelet ratio (APRI) was a common independent prognostic factor among RFS, 1-year RFS, and 2-year RFS. The systemic inflammation response index (SIRI) was an independent prognostic factor for 1-year RFS in HCC patients after curative resection. Nomograms established and achieved a better concordance index of 0.772(95% CI: 0.730-0.814), 0.774(95% CI: 0.734-0.815), 0.809(95% CI: 0.766-0.852), and 0.756(95% CI: 0.696-0.816) in predicting OS, RFS, 1-year RFS, and 2-year RFS respectively. The risk scores calculated by nomogram models divided HCC patients into high-, moderate- and low-risk groups (P < 0.05). DCA analysis revealed that the nomogram models could augment net benefits and exhibited a wider range of threshold probabilities in the prediction of HCC prognosis. CONCLUSIONS: The nomograms showed high predictive accuracy for OS, RFS, 1-year RFS, and 2-year RFS in HCC patients after surgical resection. The nomograms could be useful clinical tools to guide a rational and personalized treatment approach and prognosis judgement.

Efficacy and safety of sirolimus early conversion protocol in liver transplant patients with hepatocellular carcinoma: A single-arm, multicenter, prospective study.

Mammalian target of rapamycin (mTOR) inhibitor as an attractive drug target with promising antitumor effects has been widely investigated. High quality clinical trial has been conducted in liver transplant (LT) recipients in Western countries. However, the pertinent studies in Eastern world are paucity. Therefore, we designed a clinical trial to test whether sirolimus can improve recurrence-free survival (RFS) in hepatocellular carcinoma (HCC) patients beyond the Milan criteria after LT. This is an open-labeled, single-arm, prospective, multicenter, and real-world study aiming to evaluate the clinical outcomes of early switch to sirolimus-based regimens in HCC patients after LT. Patients with a histologically proven HCC and beyond the Milan criteria will be enrolled. The initial immunosuppressant regimens are center-specific for the first 4-6 weeks. The following regimens integrated sirolimus into the regimens as a combination therapy with reduced calcineurin inhibitors based on the condition of patients and centers. The study is planned for 4 years in total with a 2-year enrollment period and a 2-year follow-up. We predict that sirolimus conversion regimen will provide survival benefits for patients particular in the key indicator RFS as well as better quality of life. If the trial is conducted successfully, we will have a continued monitoring over a longer follow-up time to estimate indicator of overall survival. We hope that the outcome will provide better evidence for clinical decision-making and revising treatment guidelines based on Chinese population data. Trial register: Trial registered at http://www.chictr.org.cn: ChiCTR2100042869.

Comparison of the short-term outcomes of open and laparoscopic hepatectomy in the treatment of recurrent hepatocellular carcinoma: a single-center retrospective study.

Background: To retrospectively analyze the short-term outcomes between open hepatectomy (OH) and laparoscopic hepatectomy (LH) in the treatment of recurrent hepatocellular carcinoma (HCC). The objective is to develop the optimal surgical method for patients with recurrent liver cancer after operation. Methods: We retrospectively reviewed the data of 165 HCC patients whose cancer recurred after hepatectomy between January 2015 and March 2021 at our medical center. According to the inclusion and exclusion criteria, a total of 74 patients were eventually enrolled in this study. Results: Tumors located in S1, S7, or S8 and larger tumor diameters were more frequent in the OH group, and the difference was statistically significant. Furthermore, there were notable differences between the LH and OH groups in terms of intraoperative blood loss (140.00 vs. 348.68 mL, P<0.001), mean operation time (150.95 vs. 203.28 min, P=0.024), and mean postoperative hospital stay (6.76 vs. 11.28 days, P=0.014). There were no statistically significant differences in the remaining characteristics between the two groups. There was no significant difference in recurrence-free survival and overall survival between the two groups. Conclusions: Compared with OH, LH can significantly reduce the amount of intraoperative blood loss and shorten the operation time and postoperative hospital stay. At the same time, laparoscopic surgery may be a better surgical approach for patients with tumors of smaller diameter located in segments 2 to 6.

Transarterial chemoembolization versus surgical resection for giant hepatocellular carcinoma under the different status of capsule: a retrospective study.

Background: As an independent risk factor for the recurrence of hepatocellular carcinoma (HCC), the capsule has not been investigated in giant HCC (HCC ≥10 cm in diameter). In addition, whether the first line treatment for giant HCC should be surgery or transarterial chemoembolization (TACE) remains controversial. The aim of this study was to investigate the influence of tumor capsule on the prognosis of patients with giant HCC, and to compare the prognosis between surgical resection and TACE in giant HCC patients under different status of capsule to better inform surgeons. Methods: A retrospective review was conducted of all patients (n=83) who had been diagnosed with giant HCC and undergone surgical resection or TACE in the Affiliated Lihuili Hospital, Ningbo University, from January 2012 to December 2020. Among those who underwent surgical resection, overall survival (OS) and progression-free survival (PFS) were compared between patients with a complete capsule and with either an incomplete or no capsule. In patients with an incomplete/no capsule, survival outcomes were also compared between surgical resection and TACE. Prognostic factors for OS and PFS were analyzed in patients who underwent surgical resection. Results: In our study, 30 surgical patients had a complete capsule (Group 1), 33 surgical patients had an incomplete/no capsule (Group 2); 20 patients who had undergone TACE had an incomplete/no capsule (Group 3). The patient demographics were comparable, expect for liver segment invasion and tumor number, which suggested these 2 factors were related with capsule. Median OS was 39 months in Group 1, 27 months in Group 2, and 10 months in Group 3. Median PFS was 17 months in Group 1, 17 months in Group 2, and 7.5 in Group 3. There were significant statistical differences in OS and PFS between Group 1 and Group 2 (P=0.036; P=0.025). In patients who underwent surgical resection surgical time, liver segments invasion, and capsule were the independent risk factor for OS. Conclusions: In giant HCC patients, complete tumor capsule could take a better long-term outcomes than incomplete or no tumor capsule. In addition, if possible, such patients should opt for surgical resection to obtain a better prognosis.

Albumin-Bilirubin (ALBI) and Monocyte to Lymphocyte Ratio (MLR)-Based Nomogram Model to Predict Tumor Recurrence of AFP-Negative Hepatocellular Carcinoma.

PURPOSE: In this study, we aimed to develop a novel liver function and inflammatory markers-based nomogram to predict recurrence-free survival (RFS) for AFP-negative (<20 ng/mL) HCC patients after curative resection. PATIENTS AND METHODS: A total of 166 pathologically confirmed AFP-negative HCC patients were included at the Ningbo Medical Center Lihuili Hospital. A LASSO regression analysis was used for data dimensionality reduction and element selection. Univariate and multivariate Cox regression analyses were performed to identify the independent risk factors relevant to RFS. Finally, clinical nomogram prediction model for RFS of HCC was established. Nomogram performance was assessed via internal validation and calibration curve statistics. Receiver operating characteristic (ROC) and decision curve analysis (DCA) curve were used to validate the performance and clinical utility of the nomogram. RESULTS: Multivariate Cox regression analysis indicated that ALBI grade (hazard ratio, [HR] = 2.624, 95% confidence interval [CI]: 1.391-4.949, P = 0.003), INR (HR = 2.605, 95% CI: 1.061-6.396, P = 0.037), MLR (HR = 1.769, 95% CI: 1.073-2.915, P = 0.025) and MVI (HR = 4.726, 95% CI: 2.365-9.444, P < 0.001) were independent prognostic factors of RFS. Nomogram with independent factors was established and achieved a better concordance index of 0.753 (95% CI: 0.672-0.834) for predicting RFS. The ROC found that the area under curve (AUC) was consistent with the C-index and the sensitivity was 85.4%. The risk score calculated by nomogram could divide AFP-negative HCC patients into high-, moderate- and low-risk groups (P < 0.05). DCA analysis revealed that the nomogram could augment net benefits and exhibited a wider range of threshold probabilities by the risk stratification than the AJCC T and BCLC stage in the prediction of AFP-negative HCC recurrence. CONCLUSION: The ALBI grade- and MLR-based nomogram prognostic model for RFS showed high predictive accuracy in AFP-negative HCC patients after surgical resection.