Zinc deficiency as an independent prognostic factor for patients with early hepatocellular carcinoma due to hepatitis virus.

AIM: Although a reduced serum zinc level is often observed in patients with chronic liver disease due to hepatitis virus, its prognostic importance has not been adequately investigated. This study aimed to elucidate the association of zinc deficiency with prognosis, especially in early hepatocellular carcinoma (HCC) patients. METHODS: From 2005 to 2018, 466 patients with naïve HCC due to hepatitis virus were enrolled (327 men, 139 women; median age 70 years; hepatitis C virus [HCV] n = 389, hepatitis B virus [HBV] n = 69, hepatitis C virus and hepatitis B virus n = 8; Child-Pugh A n = 367, Child-Pugh B n = 82; Child-Pugh C n = 17; TNM-LCSGJ stage I n = 150, stage II n = 181, stage III n = 91, stage IVa n = 26, state IVb n = 18). Of the 466 patients, 287 were within the Milan criteria (early HCC) and treated curatively. Zinc deficiency was defined as <60 µg/dL. Clinical records and prognostic factors were retrospectively evaluated. RESULTS: The levels of serum zinc became lower with chronic liver disease progression (Child-Pugh A, B, C: 64.3 ± 14.3, 52.3 ± 15.7, 48.4 ± 13.5 µg/dL, respectively; P < 0.001). In early HCC patients treated curatively, overall survival and recurrence rates were better in patients treated curatively and without zinc deficiency as compared with patients with zinc deficiency (3-year overall survival 86.5% vs. 77.2%, 5-year overall survival 73.5% vs. 43.8%, P < 0.001; 3-year recurrence 44.8% vs. 58.3%, 5-year recurrence 56.8% vs. 77.5%, P = 0.002). Not only infection control of hepatitis virus (sustained virological response in HCV or nucleos(t)ide analogs in HBV; HR 0.078, P < 0.001), but also zinc deficiency (HR 1.773, P = 0.041) were significant prognostic factors for death. CONCLUSION: Serum levels of zinc were reduced in association with chronic liver disease grade progression. In addition to infection control of hepatitis virus, zinc deficiency might be a significant prognostic factor for survival in patients with early HCC due to viral hepatitis treated curatively.

Prognostic mortality factors in advanced light chain cardiac amyloidosis: A prospective cohort study.

AIMS: Predicting mortality in severe AL cardiac amyloidosis is challenging due to elevated biomarker levels and limited thresholds for stratifying severe cardiac damage. METHODS AND RESULTS: This prospective, observational, cohort study included de novo, confirmed cardiac AL amyloidosis patients at the Henri Mondor National Reference Centre. The goal was to identify predictors of mortality to enhance prognostic stratification and improve informed decision-making regarding therapy. Over the 12-year study period, among the 233 patients included, 133 were NYHA III-IV and 179 Mayo 2004 III. The independent predictors for mortality identified were hsTnT, NT-proBNP, cardiac output, and conjugated bilirubin. A novel prognostic, conditional stratification, Mondor amyloidosis cardiac staging (MACS) was developed with biomarker cut-off values for Stage 1: hsTnT ≤ 107 ng/L and NT-proBNP ≤ 3867 ng/L (n = 77; 33%); for stage 2 NT-proBNP > 3867 ng/L (n = 72; 30%). For stage 3, if troponin >107 ng/L, regardless of NT-proBNP then CB 4 µmol/L, was added (n = 41; 17.5%) and stage 4: CB > 4 µmol/L (n = 43; 18.5%). The median overall survival was 8 months 95% CI [2-24]. At 1 year, 102 (44%) patients died and the Kaplan-Meier median survival with MACS Stage 1 was not reached, while stage 2 was 15.2 months (95% CI [11-18]) and stage 3, 6.6 months (95% CI [1-13]). Notably, among European stage II patients, 17.1%, n = 8 were MACS stage 3 and European stage IIIb 21.4% (n = 23) were MACS stage 4. Importantly, among European stage IIIb patients 42.2% (n = 29) were classified MACS stage 4 and 12.5% n = 9 were only MACS stage 2. CONCLUSIONS: The Mondor prognostic staging system, including conjugate bilirubin may significantly improve prognostic stratification for patients with severe cardiac amyloidosis.

Nodal staging score for adequacy of nodal staging in cervical cancer.

Background: Cervical cancer remains the fourth most common female malignancy with increasing newly cases around the world. It is of clinical value to precisely evaluate whether false negative nodal existed and develop a nodal staging model in cervical cancer. Materials and methods: Clinical data of cervical cancer patients was retrieved from the Surveillance, Epidemiology, and End Results database. Probability of missing nodal disease and nodal staging score (NSS) was computed to assess the nodal status of each individual.Prognostic value of NSS was assessed. Results: A total of 9056 individuals were in this study, with 5115 squamous cell carcinoma, 2791 adenocarcinoma, 512 adenosquamous carcinoma, and 638 other type individuals. A beta-binomial model was used to compute the probability of nodal disease in four histological types, respectively. False negative probability drastically decreased as more nodes examined. To reach 0.05 of false negative probability, it required at least 17 lymph nodes in squamous cell carcinoma patients,18 in adenocarcinoma, 12 in adenosquamous carcinoma patients and 14 in other types. To reach 0.95 of NSS, it took 10 lymph nodes in squamous cell carcinoma, 6 in adenocarcinoma, 10 in adenosquamous carcinoma and 7 in other types. Significant prognostic values of NSS quartiles subsets were found in all four histological sets. Conclusion: NSS tool enables adequate nodal staging of cervical cancer with significant prognostic value. Exact number of lymph nodes required for surgery in cervical cancer is specified based on histologic type.

The optimal number of examined lymph nodes for accurate staging of intrahepatic cholangiocarcinoma: A multi-institutional analysis using the nodal staging score model.

BACKGROUND: This study aims to develop a nodal staging score (NSS) to determine the optimal number of lymph nodes (LNs) examined in intrahepatic cholangiocarcinoma (iCCA) patients. METHODS: Clinicopathologic data were collected from the SEER database (development cohort, n = 2782) and seven Chinese tertiary hospitals (validation cohort, n = 363). NSS was constructed based on a binomial distribution to indicate the probability of nodal disease absence. In addition, its prognostic value was examined by survival analysis and multivariable modeling on pN0 patients. RESULTS: A model fit was performed in node-positive patients and a subgroup analysis was performed according to clinical characteristics. Statistically significant differences were only found in the subgroups when divided by the tumor size of 3 cm. As the number of examined lymph nodes (ELNs) increased, the likelihood of missing a metastatic LN decreased. NSS escalated as ELNs increased in groups with different tumor sizes, with plateaus at 7 and 11 LNs ensuring an NSS of 90.0% for ≤3 cm and >3 cm tumors, respectively. For pN0 patients, multivariate analysis revealed that NSS was an independent prognostic factor for overall survival (OS) and recurrence-free survival (RFS). CONCLUSIONS: For accurate staging of iCCA, the optimal number of ELNs was related to tumor size. We recommend that at least 7 and 11 LNs should be examined for tumor size ≤3 cm and >3 cm, respectively. Therefore, the NSS model could be helpful to make clinical decisions for pN0 iCCA.

Pathological Nodal Staging Score for Gastric Signet Ring Cell Carcinoma: A Clinical Tool of Adequate Nodal Staging.

Background: Gastric signet ring cell carcinoma (GSRCC) is a subset of gastric cancer with distinct histological and inconsistent prognosis outcome. Currently, the association between the adequate regional lymph node and proper nodal staging in GSRCC is rarely noticed. Materials and methods: Clinical data of GSRCC were retrieved from the Surveillance, Epidemiology, and End Results database. Beta-binomial distribution model was employed for the estimation of the probability of missing nodal disease, followed by the development of a nodal staging score (NSS). Results: A total of 561 GSRCC patients were included in this study, with 193 in lymph node-negative and 368 in lymph node-positive diagnoses. As the number of examined lymph nodes increased, the probability of missing nodal disease decreased rapidly, with T stage-specific curves. The probability of missing nodal disease in T4 was lower than that in T1. NSS calculation indicated that T1 stage patients commonly had NSS > 0.8. However, with the NSS of T2−T4 to reach 0.8, the number of examined lymph node was required to be larger than 12 in T2, 17 in T3 and 27 in T4. NSS ≥ 0.75 (quantile 75%) subgroup in T2−T4 subgroups tended to have better outcome; however, without significant prognostic value. Conclusions: NSS is served as a reliable and feasible tool in adequate nodal staging of GSRCC with statistical basis and provides further evidence for clinical decision making.

Development and validation of nodal staging score in pN0 patients with esophageal squamous cell carcinoma: A population study from the SEER database and a single-institution cohort.

BACKGROUND: Patients with esophageal squamous cell carcinoma (ESCC) with lymph node metastasis may be misclassified as pN0 due to an insufficient number of lymph nodes examined (LNE). The purpose of this study was to confirm that patients with ESCC are indeed pN0 and to propose an adequate number for the correct nodal stage using the nodal staging score (NSS) developed by the beta-binomial model. METHODS: A total of 1249 patients from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2017, and 1404 patients diagnosed with ESCC in our database between 2005 and 2018 were included. The NSS was developed to assess the probability of pN0 status based on both databases. The effectiveness of NSS was verified using survival analysis, including Kaplan-Meier curves and Cox models. RESULTS: Many patients were misclassified as pN0 based on our algorithm due to insufficient LNE. As the number of LNE increased, false-negative findings dropped; accordingly, the NSS increased. In addition, NSS was an independent prognostic indicator for pN0 in patients with ESCC in the SEER database (hazard ratio [HR] 0.182, 95% confidence interval [CI] 0.046-0.730, p = 0.016) and our database (HR 0.215, 95% CI 0.055-0.842, p = 0.027). A certain number of nodes must be examined to achieve 90% of the NSS. CONCLUSIONS: NSS could determine the probability of true pN0 status for patients, and it was sufficient in predicting survival and obtaining adequate numbers for lymphadenectomy.

Use of Nodal Staging Score in Evaluating the Accuracy of Pathologic Nodal Status in Node-Negative Ampullary Carcinoma.

BACKGROUND: The minimum number of lymph nodes (LNs) that should be resected for accurate nodal staging in patients with ampullary carcinoma (AC) remains controversial. This study aimed to establish a nodal staging score (NSS) to evaluate whether a pathological node-negative AC patient is indeed free of a nodal disease. METHODS: A total of 2539 AC patients with stages I-III were retrieved from the Surveillance, Epidemiology and End Result database (design cohort [DC], n = 2382) and First Affiliated Hospital of Sun Yat-sen University (validation cohort [VC], n = 157). NSS was developed to represent the probability that a node-negative patient was correctly staged as a function of the number of examined LNs (ELNs) and pathologic T stage with a beta-binomial model. Its prognostic value in node-negative patients was assessed by survival analysis. RESULTS: The probability of missing a metastatic LN decreased as the number of the ELNs increased. NSS was escalated as the number of ELNs increased. For patients with early-stage (T1-T2) and late-stage (T3-T4) tumors, examining 7 and 33 lymph nodes could ensure an NSS of 80.0%, respectively. Multivariate analysis showed that higher NSS was an independent favorable prognostic factor for overall survival in node-negative patients with AC (DC, p < 0.001; VC, p = 0.001). CONCLUSIONS: NSS model could be used to evaluate the accuracy of nodal staging and predict the prognosis of node-negative AC patients. It could assist in making clinical strategies in node-negative AC patients.

Determining the optimal number of examined lymph nodes for accurate staging of pancreatic cancer: An analysis using the nodal staging score model.

INTRODUCTION: The aim of this study was to determine the optimal number of examined lymph nodes (ELNs) for accurate staging of pancreatic cancer using the nodal staging score model. MATERIALS AND METHODS: Clinicopathological data for patients with resected pancreatic cancer were collected from SEER database (development cohort [DC]) and Fudan University Shanghai Cancer Center database (validation cohort [VC]). Multivariable models were constructed to assess how the number of ELNs was associated with stage migration and overall survival (OS). Using the ß-binomial distribution, we developed a nodal staging score model from the DC and tested it with the VC. RESULTS: Both cohorts exhibited significant proportional increases from node-negative to node-positive disease (DC: odds ratio [OR], 1.047; P < 0.001; VC: OR, 1.035; P < 0.001) and improved OS (DC: hazard ratio [HR], 0.982; P < 0.001; VC: HR, 0.979; P < 0.001) as ELNs increased. Nodal staging scores escalated separately as ELNs increased for different tumor (T) stages, with plateaus at 16, 21, and 23 LNs (cut-offs) for T1, T2, and T3 tumors, respectively. Multivariable analysis indicated that examining more LNs than the corresponding cut-off value was a significant survival predictor (DC: HR, 0.813; P < 0.001; VC: HR, 0.696; P = 0.028). CONCLUSION: The optimal number of ELNs for adequate staging of pancreatic cancer was related to T stage. We recommend examining at least 16, 21, and 23 LNs for T1, T2, and T3 tumors, respectively, as a nodal staging quality measure for both surgery and pathological analysis.

Pathological nodal staging score for rectal cancer patients treated with radical surgery with or without neoadjuvant therapy: a postoperative decision tool.

BACKGROUND: Lymph node status can predict the prognosis of patients with rectal cancer treated with surgery. Thus, we sought to establish a standard for the minimum number of lymph nodes (LNs) examined in patients with rectal cancer by evaluating the probability that pathologically negative LNs prove positive during surgery. PATIENTS AND METHODS: We extracted information of 31,853 patients with stage I-III rectal carcinoma registered between 2004 and 2013 from the Surveillance, Epidemiology, and End Results database and divided them into two groups: the first group was SURG, including patients receiving surgery directly and the other group was NEO, encompassing those underwent neo-adjuvant therapy. Using a beta-binomial model, we developed nodal staging score (NSS) based on pT/ypT stage and the number of LNs retrieved. RESULTS: In both cohorts, the false-negative rate was estimated to be 16% when 12 LNs were examined, but it dropped to 10% when 20 LNs were evaluated. In the SURG cohort, to rule out 90% possibility of false staging, 3, 7, 28, and 32 LNs would be necessarily examined in patients with pT1-4 disease, respectively. While in the NEO cohort, 4, 7, 12, and 16 LNs would be included for examination in patients with ypT1-4 disease to guarantee an NSS of 90%. CONCLUSION: By determining whether a rectal cancer patient with negative LNs was appropriately staged, the NSS model we developed in this study may assist in tailoring postoperative management.

Validation of Modified ALBI Grade for More Detailed Assessment of Hepatic Function in Hepatocellular Carcinoma Patients: A Multicenter Analysis.

BACKGROUND/AIM: The frequency of hepatocellular carcinoma (HCC) in patients with good hepatic reserve function has been increasing in Japan along with the progression of antiviral therapies and aging of the society. We evaluated the usefulness of modified albumin-bilirubin (ALBI) grade as a tool for assessment of hepatic reserve function. MATERIALS/METHODS: We enrolled 6,649 naïve HCC patients treated from 2000 to 2017 and divided them into training (Ehime Prefecture group: E group, n = 2,357) and validation (validation group: V group, n = 4,292) cohorts. Child-Pugh classification and ALBI and modified ALBI (mALBI) grading were compared using with Japan Integrated Staging (JIS), ALBI-TNM (ALBI-T), and mALBI-T scores, which were calculated based on TNM stage and each assessment tool, retrospectively. RESULTS: In the E group, Akaike's Information Criterion (AIC) and c-index values for mALBI-T (13,725.2/0.744) were better as compared to those of ALBI-T (13,772.6/0.733) and JIS score (13,874.7/0.720), with similar results observed in the V group (mALBI-T: 27,727.4/0.760; ALBI-T: 27,817.8/0.750; JIS: 27,807.5/0.748). Although there were some significant differences between the groups with regard to clinical background factors (age, etiology, tumor size, tumor number, treatment modalities), for all patients the AIC and c-index values of mALBI-T (45,327.1/0.755) were also better than those of ALBI-T (45,467.7/0.744) and JIS scores (45,555.8/0.739), indicating its superior stratification ability and prognostic predictive value in patients with HCC. CONCLUSION: The detailed stratification ability of mALBI grade for hepatic reserve function is suitable for the recent trend of HCC patients, while mALBI-T may provide a more accurate predictive value than existing total staging scoring systems.

External validation of the pathological nodal staging score in upper tract urothelial carcinoma: A population-based study.

OBJECTIVES: To externally validate our previously developed pathological nodal staging model (pNSS) that allows quantification of the likelihood that a patient with pathologic node-negative status has, indeed, no lymph node metastasis (LNM). PATIENTS AND METHODS: We analyzed data from 2,768 patients treated with radical nephroureterectomy (RNU) and lymph node dissection (LND) using the Surveillance, Epidemiology, and End Results database from 1988 to 2010. We estimated the sensitivity of pathologic nodal staging using a beta-binomial model and developed a new pNSS. Then, we compared these findings with those of the initial cohort. RESULTS: The mean and median numbers of lymph node (LN) removed were 5 and 2, respectively (interquartile range = 5) in the validation cohort, though 66.5% of the patients (n = 1814) were pN0. Similar to the development cohort, the probability of missing a LNM decreased as the number of nodes examined increased in the validation cohort. If only a single node was examined, 35% of patients would be misclassified as pN0 while harboring LNM. Even when 5 nodes were examined, 8% would be misclassified. The probability of having a positive node increased with advancing pathological T stage in both the cohorts. Patients with pT0-Ta-Tis-T1 disease in both cohorts would have more than a 95% chance of a correct pathologic nodal staging with 2 examined nodes. However, if a patient has pT3-T4 disease, more than 12 examined LNs are needed to reach 95% accuracy. CONCLUSIONS: We confirmed that the number of examined nodes needed for adequate staging depends on pT category. We externally validated our previous pNSS in a population-based database, which could help in the clinical decision-making regarding adjuvant chemotherapy administration.

Radiographic Evidence of Sinonasal Inflammation in Asthma-Chronic Obstructive Pulmonary Disease Overlap Syndrome: An Underrecognized Association.

BACKGROUND: Sinonasal inflammation on both clinical examinations and imaging significantly impacts both asthma and chronic obstructive pulmonary disease (COPD). OBJECTIVE: The objective of this study was to examine the association between sinonasal inflammation and asthma-COPD overlap syndrome (ACOS). METHODS: A total of 112 patients with a ratio of forced expiratory volume in 1 s to forced vital capacity of less than 70% were enrolled. COPD, asthma, and ACOS were clinically diagnosed according to the 2014 Global Initiative for Asthma and Global Initiative for Chronic Obstructive Lung Disease guidelines. Sinonasal inflammatory condition was evaluated using sinus computed tomography, and its severity was assessed according to the Lund-Mackay staging (LMS) system. Ethmoid sinus-dominant shadow was defined as the presence of greater LMS scores for the anterior and posterior ethmoid sinuses than for the maxillary sinus. RESULTS: COPD, asthma, and ACOS were diagnosed in 55 (49.1%), 39 (34.8%), and 18 patients (16.1%), respectively. The frequency of radiographic evidence of sinonasal inflammation in patients with COPD, asthma, ACOS was 60.0%, 94.9%, and 72.2%, respectively. Patients with ACOS and COPD had only mild radiographic evidence of sinonasal inflammation (LMS score, 1-7), whereas moderate (LMS score, 8-11) and severe (LMS score, ≥12) radiographic evidence of sinonasal inflammation were detected only in patients with asthma. Furthermore, the frequency of ethmoid sinus-dominant shadow was significantly higher in patients with asthma than in those with COPD and ACOS. CONCLUSIONS: Radiographic evidence of sinonasal inflammation was a common comorbidity in ACOS. Future studies are required to examine the role of sinonasal inflammation in ACOS.