The relationship between splenic dose and radiation-induced lymphopenia.

Lymphocytes, which are highly sensitive to radiation, play a crucial role in the body's defense against tumors. Radiation-induced lymphopenia has been associated with poorer outcomes in different cancer types. Despite being the largest secondary lymphoid organ, the spleen has not been officially designated as an organ at risk. This study hypothesizes a connection between spleen irradiation and lymphopenia and seeks to establish evidence-based dosage limits for the spleen. We retrospectively analyzed data from 96 patients with locally advanced gastric cancer who received postoperative chemoradiotherapy (CRT) between May 2010 and May 2017. Complete blood counts were collected before, during and after CRT. We established a model for predicting the minimum absolute lymphocyte count (Min ALC) and to investigate potential associations between spleen dosimetric variables and Min ALC. The median follow-up was 60 months. The 5-year overall survival (OS) and disease-free survival (DFS) were 65.2% and 56.8%, respectively. The median values of pre-treatment ALC, Min ALC and post-treatment ALC were 1.40 × 109, 0.23 × 109 and 0.28 × 109/L, respectively. Regression analysis confirmed that the primary tumor location, number of fractions and spleen V5 were significant predictors of Min ALC during radiation therapy. Changes in ALC (ΔALC) were identified as an independent predictor of both OS and DFS. Spleen V5 is an independent predictor for Min ALC, and the maximum dose of the spleen is associated with an increased risk of severe lymphopenia. Therefore, these doses should be restricted in clinical practice. Additionally, ΔALC can serve as a prognostic indicator for adjuvant radiotherapy in gastric cancer.

Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean.

To enhance the effectiveness and efficiency of subspace clustering in visual tasks, this work introduces a novel approach that automatically eliminates the optimal mean, which is embedded in the subspace clustering framework of low-rank representation (LRR) methods, along with the computationally factored formulation of Schatten p -norm. By addressing the issues related to meaningful computations involved in some LRR methods and overcoming biased estimation of the low-rank solver, we propose faster nonconvex subspace clustering methods through joint Schatten p -norm factorization with optimal mean (JS p NFOM), forming a unified framework for enhancing performance while reducing time consumption. The proposed approach employs tractable and scalable factor techniques, which effectively address the disadvantages of higher computational complexity, particularly when dealing with large-scale coefficient matrices. The resulting nonconvex minimization problems are reformulated and further iteratively optimized by multivariate weighting algorithms, eliminating the need for singular value decomposition (SVD) computations in the developed iteration procedures. Moreover, each subproblem can be guaranteed to obtain the closed-form solver, respectively. The theoretical analyses of convergence properties and computational complexity further support the applicability of the proposed methods in real-world scenarios. Finally, comprehensive experimental results demonstrate the effectiveness and efficiency of the proposed nonconvex clustering approaches compared to existing state-of-the-art methods on several publicly available databases. The demonstrated improvements highlight the practical significance of our work in subspace clustering tasks for visual data analysis. The source code for the proposed algorithms is publicly accessible at https://github.com/ZhangHengMin/TRANSUFFC.

The decreased risk of hepatocellular carcinoma in hepatitis B virus-related cirrhotic portal hypertension patients after laparoscopic splenectomy and azygoportal disconnection.

BACKGROUND: Posthepatitic cirrhosis is one of the leading risk factors for hepatocellular carcinoma (HCC) worldwide, among which hepatitis B cirrhosis is the dominant one. This study explored whether laparoscopic splenectomy and azygoportal disconnection (LSD) can reduce the risk of HCC among patients with hepatitis B virus (HBV)-related cirrhotic portal hypertension (CPH). METHODS: A total of 383 patients with HBV-related CPH diagnosed as gastroesophageal variceal bleeding and secondary hypersplenism were identified in our hepatobiliary pancreatic center between April 2012 and April 2022, and conducted an 11-year retrospective follow-up. We used inverse probability of treatment weighting (IPTW) to correct for potential confounders, weighted Kaplan-Meier curves, and logistic regression to estimate survival and risk differences. RESULTS: Patients were divided into two groups based on treatment method: LSD (n = 230) and endoscopic therapy (ET; n = 153) groups. Whether it was processed through IPTW or not, LSD group showed a higher survival benefit than ET group according to Kaplan-Meier analysis (P < 0.001). The incidence density of HCC was higher in the ET group compared to LSD group at the end of follow-up [32.1/1000 vs 8.0/1000 person-years; Rate ratio: 3.998, 95% confidence intervals (CI) 1.928-8.293]. Additionally, in logistic regression analyses weighted by IPTW, LSD was an independent protective predictor of HCC incidence compared to ET (odds ratio 0.516, 95% CI 0.343-0.776; P = 0.002). CONCLUSION: Considering the ability of LSD to improve postoperative survival and prevent HCC in HBV-related CPH patients with gastroesophageal variceal bleeding and secondary hypersplenism, it is worth promoting in the context of the shortage of liver donors.

Splenectomy and azygoportal disconnection decreases the risk of hepatocellular carcinoma for cirrhosis patients with portal hypertension bleeding: a 10-year retrospective follow-up study based on the inverse probability of treatment weighting method.

BACKGROUND: Liver cirrhosis is the highest risk factor for hepatocellular carcinoma (HCC) worldwide. However, etiological therapy is the only option in cirrhosis patients to decrease the HCC risk. The aim of this study was to explore whether laparoscopic splenectomy and azygoportal disconnection (LSD) decreases the risk of HCC for patients with cirrhotic portal hypertension (CPH). METHODS: Between April 2012 and April 2021, we identified 595 CPH patients in our hepatobiliary pancreatic center who were diagnosed with gastroesophageal variceal bleeding and secondary hypersplenism, and performed a 10-year retrospective follow-up. Inverse probability of treatment weighting (IPTW) was used to adjust for potential confounders, weighted Kaplan-Meier curves and logistic regression to estimate survival and risk differences. RESULTS: According to the method of therapy, patients were divided into LSD (n = 345) and endoscopic therapy (ET; n = 250) groups. Kaplan-Meier analysis revealed that patients who underwent LSD had higher survival benefit with those who underwent ET (P < 0.001). At the end of the follow-up, ET group was associated with a higher HCC incidence density compared with LSD group (28.1/1000 vs 9.6/1000 person-years; Rate ratio [RR] 2.922, 95% confidence intervals [CI] 1.599-5.338). In addition, logistic regression analyses weighted by IPTW revealed that, compared with ET, LSD was an independent protective predictor of HCC incidence (odds ratio [OR] 0.440, 95% CI 0.316-0.612; P < 0.001). CONCLUSIONS: Considering the better postoperative survival and the ability to prevent HCC in CPH patients with gastroesophageal variceal bleeding and secondary hypersplenism, LSD is worth popularization in situations where liver donors are scarce.

Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis.

Decomposing data matrix into low-rank plus additive matrices is a commonly used strategy in pattern recognition and machine learning. This article mainly studies the alternating direction method of multiplier (ADMM) with two dual variables, which is used to optimize the generalized nonconvex nonsmooth low-rank matrix recovery problems. Furthermore, the minimization framework with a feasible optimization procedure is designed along with the theoretical analysis, where the variable sequences generated by the proposed ADMM can be proved to be bounded. Most importantly, it can be concluded from the Bolzano-Weierstrass theorem that there must exist a subsequence converging to a critical point, which satisfies the Karush-Kuhn-Tucher (KKT) conditions. Meanwhile, we further ensure the local and global convergence properties of the generated sequence relying on constructing the potential objective function. Particularly, the detailed convergence analysis would be regarded as one of the core contributions besides the algorithm designs and the model generality. Finally, the numerical simulations and the real-world applications are both provided to verify the consistence of the theoretical results, and we also validate the superiority in performance over several mostly related solvers to the tasks of image inpainting and subspace clustering.

Vagus nerve-guided (modified Bai-Jiang-style) robotic-assisted laparoscopic splenectomy and azygoportal disconnection.

BACKGROUND: How to precisely protect and preserve anterior and posterior vagal trunks and all their branches during the procedure of splenectomy and azygoportal disconnection is studied rarely. We firstly developed a vagus nerve-guided robotic-assisted laparoscopic splenectomy and azygoportal disconnection (VGRSD). The aim of this study was to evaluate whether VGRSD is feasible and safe and to determine whether VGRSD can effectively eliminate postoperative digestive system complications by protecting vagal nerve precisely. METHOD: In this prospective clinical study, 10 cirrhotic patients with oesophagogastric variceal bleeding and hypersplenism who underwent VGRSD between January 2022 and March 2022 were gathered, and compared with a retrospective cohort who received a part of the vagus nerve-preserving robotic-assisted laparoscopic splenectomy and azygoportal disconnection (VPRSD). They were all followed up for 6 months. RESULTS: In VGRSD group, the operation time was 173.5 ± 16.2 min, blood loss was 68.0 ± 39.1 ml, VAS pain score on the first day was 1.9 ± 0.7, and the postoperative hospital stay was 7.7 ± 0.7 days. There was no incisional complications, pneumonia, gastric fistula, pancreatic fistula, and abdominal infection. No patients suffered from diarrhoea, delayed gastric emptying, and epigastric fullness. Compared with VPRSD, operation time was significantly longer for VGRSD (p < 0.05). However, VGRSD was significantly associated with less diarrhoea and shorter postoperative hospital stay (all p < 0.05). CONCLUSION: VGRSD procedure is not only technically feasible and safe, it also effectively eliminate postoperative digestive system complications. TRIAL REGISTRATION: We registered our research at https://www. CLINICALTRIALS: gov/. The name of research registered is 'Vagus Nerve-guided Robotic-assisted Splenectomy and Azygoportal Disconnection'. The trial registration identifier at clinicaltrials.gov is NCT05300516.

Novel Preoperative Type IV Collagen to Predict the Risk of Hepatocellular Carcinoma in Patients with Hepatitis B Virus-Related Cirrhotic Portal Hypertension After Laparoscopic Splenectomy and Azygoportal Disconnection.

Purpose: Although laparoscopic splenectomy and azygoportal disconnection (LSD) can significantly decrease portal vein pressure and even the incidence of hepatocellular carcinoma (HCC) in patients with cirrhotic portal hypertension (CPH), postoperative HCC inevitably occurs in certain patients. The purpose of this study was to seek a novel preoperative non-invasive predictive indicator to predict the occurrence of postoperative HCC. Patients and Methods: From April 2012 to April 2022, we collected clinical data of 178 hepatitis B virus (HBV)-related CPH patients. Based on inverse treatment probability weighting, candidate variables for predicting postoperative HCC were determined by means analysis. Then, a novel preoperative non-invasive prediction indicator (ie, type IV collagen-alpha fetoprotein-fibrosis-4 score [IVAF-FIB-4]) was established based on candidate variables, and its predictive ability was explored. Results: Postoperative HCC occurred in 9 (5.1%) patients. Correlation analyses showed that the IVAF-FIB-4 had a significant positive correlation with HCC (r = 0.835, P < 0.001). IVAF-FIB-4 showed a high accuracy (the area under the receiver operating characteristic curve: 0.939, 95% confidence interval [CI]: 0.818-1.000; sensitivity: 88.9%; specificity: 93.5%). At the end of follow-up, the incidence density of HCC in patients with IVAF-FIB-4 (1) was significant higher than that in patients with IVAF-FIB-4 (0) (138.1/1000 vs 1.1/1000 person-years; rate ratio: 130.475, 95% CI: 16.318-1043.227). In logistic regression, IVAF-FIB-4 was an independent risk factor for HCC (odds ratio: 668.000, 95% CI: 53.895-8279.541; P < 0.001). Conclusion: IVAF-FIB-4 is a novel preoperative noninvasive predictive indicator for predicting postoperative HCC in HBV-related CPH patients after LSD, with satisfactory predictive ability.

Factors affecting physical examinations among patients with severe mental disorders in Shaoxing City / 预防医学

Objective@#To investigate the proportion of physical examinations among patients with severe mental disorders and its influencing factors in Shaoxing City, Zhejiang Province, so as to provide the evidence for improving the proportion of physical examinations among patients with severe mental disorders. @*Methods @#The epidemiological and clinical features of patients with severe mental disorders included in community management in Shaoxing City in 2022 were collected from Zhejiang Provincial Severe Mental Disorder Management Information System, including demographics, disease diagnosis and treatment, physical examination, and rescue and assistance. Factors affecting the physical examination were identified among patients with severe mental disorders using a multivariable logistic regression model. @*Results@#A total of 25 468 patients with severe mental disorders were enrolled in Shaoxing City in 2022, including 12 151 males and 13 317 females, with a male to female ratio of 0.91∶1, and the participants had a mean age of (54.34±14.71) years. Schizophrenia was the predominant type of severe mental disorders (15 419 cases, 60.54%), and 21 374 subjects participating in the physical examinations in 2022 (83.92%). Multivariable logistic regression analysis showed that female (OR=0.901, 95%CI: 0.832-0.975), urban areas (OR=0.506, 95%CI: 0.468-0.547), mental disorders due to epilepsy (OR=1.779, 95%CI: 1.104-2.866), hospitalized treatment (6 to 10 times, OR=0.523, 95%CI: 0.401-0.681; 11 times and more, OR=0.177, 95%CI: 0.108-0.288), special diseases in outpatient (OR=1.738, 95%CI: 1.597-1.891), receiving medical assistance (OR=2.851, 95%CI: 2.616-3.107), targets of the community care and assistance groups (OR=1.653, 95%CI: 1.471-1.857) and guardian (spouse, OR=1.777, 95%CI: 1.513-2.086; children, OR=1.277, 95%CI: 1.069-1.526; parents, OR=1.342, 95%CI: 1.143-1.576) were statistically associated with the proportion of physical examinations. @*Conclusions@#The proportion of health examinations was 83.92% among patients with severe mental disorders in Shaoxing City in 2022. Gender, residence, guardian, disease diagnosis, times of hospitalized treatment, medical assistance, special diseases in outpatients and target of community care and assistance groups were factors affecting health examinations among patients with severe mental disorders.

An extensive bioinformatics study on the role of mitochondrial solute carrier family 25 in PC and its mechanism behind affecting immune infiltration and tumor energy metabolism.

BACKGROUND: Several metabolic disorders and malignancies are directly related to abnormal mitochondrial solute carrier family 25 (SLC25A) members activity. However, its biological role in pancreatic cancer (PC) is not entirely understood. METHODS: The lasso method was used to create a novel prognostic risk model for PC based on SLC25A members, and its roles in tumor immunology and energy metabolism were explored. Furthermore, co-expression networks were constructed for SLC25A11, SLC25A29, and SLC25A44. Single-cell RNA sequencing (ScRNA-seq) revealed the distribution of gene expression in PC. Tumor immune infiltration was examined with the TIMER database. Lastly, drug sensitivity was investigated, and co-transcriptional factors were predicted. RESULTS: In the present study, a novel prognostic risk model was established and validated for PC based on SLC25A members. The high-risk group had a lower activation of oxidative phosphorylation and a more abundant immune infiltration phenotype than the low-risk group. According to co-expression network studies, SLC25A11, SLC25A29, and SLC25A44 were involved in the energy metabolism of PC and prevented tumor growth, invasion, and metastasis. ScRNA-seq research also pointed to their contribution to the tumor microenvironment. Moreover, the recruitment of numerous immune cells was positively correlated with SLC25A11 and SLC25A44 but negatively correlated with SLC25A29. Additionally, the sensitivity to 20 Food and Drug Administration-approved antineoplastic medicines was strongly linked to the aforementioned genes, where cisplatin sensitivity increased with the up-regulation of SLC25A29. Finally, the Scleraxis BHLH Transcription Factor (SCX) and other proteins were hypothesized to co-regulate the mRNA transcription of the genes. CONCLUSION: SLC25A members are crucial for tumor immune and energy metabolism in PC, and SLC25A11, SLC25A29, and SLC25A44 can be used as favorable prognostic markers. The use of these markers will provide new directions to unravel their action mechanisms in PC.

Vagus Nerve-Preserving Laparoscopic Splenectomy and Azygoportal Disconnection with Versus Without Intraoperative Endoscopic Variceal Ligation: a Randomized Clinical Trial.

BACKGROUND: Esophagogastric variceal bleeding is the most common lethal factor for patients with cirrhotic portal hypertension. We firstly developed a laparoscopic splenectomy and azygoportal disconnection (LSD) with intraoperative endoscopic variceal ligation (LSDL) technique. In this study, we aimed to evaluate whether LSDL is feasible and safe and whether LSDL can effectively prevent esophagogastric variceal re-bleeding (EVR), as compared with single LSD. METHODS: In this randomized controlled single-center study, 88 patients with cirrhosis who had esophagogastric variceal bleeding and hypersplenism were randomly assigned to receive either LSD (n = 44) or LSDL (n = 44) between January 2020 and December 2021. The primary outcome was EVR. RESULTS: No patients withdrew from the study. There were no significant differences in estimated blood loss, incidence of blood transfusion, time to first flatus and off-bed activity, or postoperative hospital stay between the two groups. Compared with that in the LSD group, operation time was significantly longer in the LSDL group (138.5 ± 19.4 min vs. 150.3 ± 19.0 min, P < 0.05); however, LSDL was associated with a significantly decreased EVR rate at 1-year follow-up (8/44 vs. 1/44, P < 0.05). Univariate analysis and multivariate logistic regression revealed that LSDL was a significant independent protective factor against EVR in comparison with LSD (relative risk: 0.105, 95% confidence interval 0.012-0.877; P = 0.037). CONCLUSIONS: Our newly developed LSDL procedure is not only technically feasible and safe; it also contributed to lowering the EVR risk more so than single LSD. TRIAL REGISTRATION: We registered our research at https://www. CLINICALTRIALS: gov/ . The name of research registered is "Laparoscopic Splenectomy and Azygoportal Disconnection with Intraoperative Endoscopic Variceal Ligation." The trial registration identifier at clinicaltrials.gov is NCT04244487.

FAM81A identified as a stemness-related gene by screening DNA methylation sites based on machine learning-accessed stemness in pancreatic cancer.

Aim: We thoroughly discuss the interaction between the stemness index and DNA methylation in pancreatic cancer (PC). Materials & methods: First, the stemness indices of PC (denoted mRNAsi and mDNAsi) were calculated using a one-class logistic regression machine-learning algorithm. Second, we screened the central methylation sites associated with stemness and screened out the key genes. We investigated the DNA methylation regulators associated with the key genes. Finally, using CIBERSORT and TIMER, we assessed the influence of stemness indexes and key genes on PC microenvironment formation. Results: In this study we quantified the stemness indices for PC and screened 20 related central DNA methylation sites. Further analysis of the methylation site cg22687244, located in the 3' UTR, revealed that it promoted the expression of the key gene FAM81A. We show that FAM81A may be regulated by DNA methylation regulators. Furthermore, immune cells were found to be more abundant in PC microenvironments with high expression of FAM81A. Conclusion: We report for the first time that the 3' UTR methylation of FAM81A is closely related to PC stemness and contributes to tumor immune infiltration. Therefore FAM81A may serve as a potential marker to guide the treatment of PC.

Gut Bacteria Erysipelatoclostridium and Its Related Metabolite Ptilosteroid A Could Predict Radiation-Induced Intestinal Injury.

It is difficult to study the intestinal damage induced by space radiation to astronauts directly, and few prediction models exist. However, we can simulate it in patients with pelvic tumor radiotherapy (RT). Radiation-induced intestinal injury (RIII) is common in cancer patients who receieved pelvic and abdominal RT. We dynamically analyzed gut microbiota and metabolites alterations in 17 cervical and endometrial cancer patients after pelvic RT. In patients who later developed grade 2 RIII, dysbiosis of gut microbiota and metabolites were observed. Univariate analysis showed that Erysipelatoclostridium and ptilosteroid A were related to the occurrence of grade 2 RIII. Notably, a strong positive correlation between gut bacteria Erysipelatoclostridium relative abundance and gut metabolite ptilosteroid A expression was found. Furthermore, combinations of Erysipelatoclostridium and ptilosteroid A could provide good diagnostic markers for grade 2 RIII. In conclusion, gut bacteria Erysipelatoclostridium and its related metabolite ptilosteroid A may collaboratively predict RIII, and could be diagnostic biomarkers for RIII and space radiation injury.

Clinical effects of cluster technology optimization and innovations on laparoscopic splenectomy and azygoportal disconnection: a single-center retrospective study with 500 consecutive cases.

BACKGROUND: In Asia, laparoscopic splenectomy and azygoportal disconnection (LSD) has been widely regarded as a preferential treatment modality for cirrhotic portal hypertension (PH). However, LSD involves high surgical risk, technical challenges, and many potential postoperative complications. Technology optimization and innovation in LSD aiming to solve to these difficulties has scarcely been reported. In this retrospective study, we aimed to evaluate the clinical therapeutic effect of our cluster technology optimization and innovation on LSD for PH. METHODS: From February 2012 to January 2020, 500 patients with cirrhosis who had esophagogastric variceal bleeding and hypersplenism underwent LSD in our department. According to different operation periods, patients were divided into the early-, intermediate-, and late-period groups. We collected information regarding clinical characteristics of all patients as well as their preoperative and postoperative follow-up data. RESULTS: Compared with the early-period group, operation time and postoperative hospital stay were all significantly different and gradually declined from the intermediate- and late-period groups, respectively (all P < 0.05). Intraoperative blood loss of these three groups was gradually decreased, with significant differences (P < 0.05). The incidences of delayed gastric emptying and diarrhea in the late-period group were all significantly lower than those in the early- and intermediate-period groups, respectively (all P < 0.05). Compared with the early-period group, the incidence of variceal re-bleeding was significantly lower in the intermediate- and late-period groups (all P < 0.05). CONCLUSION: Our cluster technology optimization and innovation of LSD not only contributed to faster recovery and fewer complications but also enhanced surgical safety for patients. It is worth promoting this approach among patients with EVB and hypersplenism secondary to cirrhotic PH.

Robotic-assisted versus laparoscopic approach of Bai-Jiang-style vagus nerve-preserving splenectomy and azygoportal disconnection.

Robotic surgery has been widely accepted in many kinds of surgical procedures. Little is known about clinical effects of robotic-assisted splenectomy and azygoportal disconnection (RSD) for gastroesophageal variceal bleeding and secondary hypersplenism owing to cirrhotic portal hypertension. The aim of this study was to evaluate whether RSD is feasible and safe for patients with cirrhotic portal hypertension and whether RSD is superior to laparoscopic splenectomy and azygoportal disconnection (LSD). We retrospectively investigated the clinical effects of 50 patients with cirrhosis who underwent vagus nerve-preserving RSD (n = 20) and LSD (n = 30) between September 2020 and October 2021. We compared patients' demographic, intraoperative, and perioperative variables. RSD and LSD were successful in all patients. Operative time did not differ significantly between the RSD group and LSD group (151.15 ± 21.78 min vs. 144.50 ± 24.30 min, P > 0.05), but intraoperative blood loss were significantly reduced in the RSD group (61.00 ± 34.93 mL vs. 105.00 ± 68.77 mL, P < 0.05). No statistically significant differences were found regarding intraoperative allogeneic transfusion rate, visual analog scale pain score on the postoperative first day, time to first oral intake, initial passage of flatus, initial off-bed activity, postoperative hospital stay, and overall perioperative complication rate (all P > 0.05). In conclusion, RSD is not only a technically feasible and safe procedure but it was associated with less blood loss than LSD for cirrhotic portal hypertension with gastroesophageal variceal bleeding and secondary hypersplenism. Registered at researchregistery.com: trial registration number is researchregistry7244, date of registration October 10, 2021, registered retrospectively.

Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems.

In recent years, most of the studies have shown that the generalized iterated shrinkage thresholdings (GISTs) have become the commonly used first-order optimization algorithms in sparse learning problems. The nonconvex relaxations of the l0 -norm usually achieve better performance than the convex case (e.g., l1 -norm) since the former can achieve a nearly unbiased solver. To increase the calculation efficiency, this work further provides an accelerated GIST version, that is, AGIST, through the extrapolation-based acceleration technique, which can contribute to reduce the number of iterations when solving a family of nonconvex sparse learning problems. Besides, we present the algorithmic analysis, including both local and global convergence guarantees, as well as other intermediate results for the GIST and AGIST, denoted as (A)GIST, by virtue of the Kurdyka-Lojasiewica (KL) property and some milder assumptions. Numerical experiments on both synthetic data and real-world databases can demonstrate that the convergence results of objective function accord to the theoretical properties and nonconvex sparse learning methods can achieve superior performance over some convex ones.

Joint Optimal Transport With Convex Regularization for Robust Image Classification.

The critical step of learning the robust regression model from high-dimensional visual data is how to characterize the error term. The existing methods mainly employ the nuclear norm to describe the error term, which are robust against structure noises (e.g., illumination changes and occlusions). Although the nuclear norm can describe the structure property of the error term, global distribution information is ignored in most of these methods. It is known that optimal transport (OT) is a robust distribution metric scheme due to that it can handle correspondences between different elements in the two distributions. Leveraging this property, this article presents a novel robust regression scheme by integrating OT with convex regularization. The OT-based regression with L2 norm regularization (OTR) is first proposed to perform image classification. The alternating direction method of multipliers is developed to handle the model. To further address the occlusion problem in image classification, the extended OTR (EOTR) model is then presented by integrating the nuclear norm error term with an OTR model. In addition, we apply the alternating direction method of multipliers with Gaussian back substitution to solve EOTR and also provide the complexity and convergence analysis of our algorithms. Experiments were conducted on five benchmark datasets, including illumination changes and various occlusions. The experimental results demonstrate the performance of our robust regression model on biometric image classification against several state-of-the-art regression-based classification methods.

Impact of Socioeconomic Factors on Prognosis and Clinical Management in Patients with Hepatocellular Carcinoma.

BACKGROUND: The prognosis for patient survival using the tumor-node-metastasis (TNM) staging system may be imperfect, as it based only on biological factors and does not include the socioeconomic factors (SEFs). We integrated the SEFs into the TNM system (TNMSEF), and evaluated whether the novel TNM-SEF staging system showed better prediction capacity and improved clinical guidance in hepatocellular carcinoma (HCC). METHODS: We selected data of 12 514 cases with HCC between 2010 and 2015 from the SEER database. The Kaplan-Meier survival curves and Cox proportional hazards regression were used to analyze cancer-specific survival (CSS) among the TNM-SEF stages. RESULTS: Multivariate Cox analyses showed that insurance status, marital status, year of diagnosis, and income were prominent prognostic SEFs (all P < .05). When compared with the SEF0 stage, the SEF1 stage was significantly associated with a 36.1% increased risk of cancer-specific mortality in HCC overall, a 22.2% increased risk of metastatic HCC, and a 41.8% increased risk of non-metastatic HCC (all P < .001). The concordance index of the TNM-SEF stage (0.768) was better than that of the TNM stage (0.764). Furthermore, patients with SEF0 stage showed higher 5-year CSS than those with SEF1 stage (I: 48.7% vs. 28.1%; II: 41.0% vs. 25.1%; IIIA: 12.8% vs. 5.0%; IIIB: 7.8% vs. 6.0%; IIIC: 6.4% vs. 6.7%; IVA: 8.4% vs. 2.5%; IVB: 2.1% vs. 0.8%; all P < .05). CONCLUSION: We have proved that the SEF stage is an independent predictor for HCC. The combined SEF stage with TNM staging warrants more clinical attention, for improved prognostic prediction and clinical guidance.

Establishment of a Prognostic Model for Hepatocellular Carcinoma Based on Endoplasmic Reticulum Stress-Related Gene Analysis.

Hepatocellular carcinoma (HCC) is one of the most common types of cancer worldwide and its incidence continues to increase year by year. Endoplasmic reticulum stress (ERS) caused by protein misfolding within the secretory pathway in cells and has an extensive and deep impact on cancer cell progression and survival. Growing evidence suggests that the genes related to ERS are closely associated with the occurrence and progression of HCC. This study aimed to identify an ERS-related signature for the prospective evaluation of prognosis in HCC patients. RNA sequencing data and clinical data of patients from HCC patients were obtained from The Cancer Genome Atlas (TCGA) and The International Cancer Genome Consortium (ICGC). Using data from TCGA as a training cohort (n=424) and data from ICGC as an independent external testing cohort (n=243), ERS-related genes were extracted to identify three common pathways IRE1, PEKR, and ATF6 using the GSEA database. Through univariate and multivariate Cox regression analysis, 5 gene signals in the training cohort were found to be related to ERS and closely correlated with the prognosis in patients of HCC. A novel 5-gene signature (including HDGF, EIF2S1, SRPRB, PPP2R5B and DDX11) was created and had power as a prognostic biomarker. The prognosis of patients with high-risk HCC was worse than that of patients with low-risk HCC. Multivariate Cox regression analysis confirmed that the signature was an independent prognostic biomarker for HCC. The results were further validated in an independent external testing cohort (ICGC). Also, GSEA indicated a series of significantly enriched oncological signatures and different metabolic processes that may enable a better understanding of the potential molecular mechanism mediating the progression of HCC. The 5-gene biomarker has a high potential for clinical applications in the risk stratification and overall survival prediction of HCC patients. In addition, the abnormal expression of these genes may be affected by copy number variation, methylation variation, and post-transcriptional regulation. Together, this study indicated that the genes may have potential as prognostic biomarkers in HCC and may provide new evidence supporting targeted therapies in HCC.

Preoperative Alpha-Fetoprotein Has No Prognostic Role in Small Hepatocellular Carcinoma in Non-Cirrhotic Patients After Surgical Resection.

BACKGROUND: Alpha-fetoprotein (AFP) has been widely used as a tumor marker in the treatment of hepatocellular carcinoma (HCC) in patients with cirrhosis. However, a large number of HCC patients are diagnosed without cirrhosis, and the prognostic capability of AFP was unclear in HCC patients without cirrhosis. Our purpose was to investigate the prognostic efficiency of AFP in patients with non-cirrhosis, single, and small HCC who were treated with surgical resection. METHODS: Among the 111 374 liver cancer patients included in the Surveillance, Epidemiology, and End Results database, we selected 224 patients without cirrhosis with a single HCC ≤3 cm in diameter who were identified at diagnosis and treated with surgical resection. The AFP test results were recorded as AFP-positive and AFP-negative levels. RESULTS: Kaplan-Meier method showed that there was no significant survival difference between the AFP-positive and AFP-negative groups (P = .566). The same results were found in the subgroups of patients with tumor size ≤2 cm and 2-3 cm (P = .710 and .687, respectively). Receiver operating characteristic (ROC) curve analysis showed that AFP had inadequate accuracy to discriminate survivors and deceased patients in subgroups of patients with tumor size ≤3 cm, 2-3 cm, or ≤2 cm (area under the ROC curve = 0.449, 0.458, 0.443; 95% confidence interval = 0.366-0.533, 0.346-0.571, 0.317-0.569, respectively). CONCLUSION: AFP levels have no predictive value in well-compensated non-cirrhosis patients with single, small HCC (≤3 cm) treated with surgical resection for curative intent.

The growth rate of hepatocellular carcinoma is different with different TNM stages at diagnosis.

BACKGROUND: Hepatocellular carcinoma (HCC) progresses fast and has a poor prognosis, but the growth rate in different TNM stages is not clear. The present study was to estimate the growth rate of HCC with different TNM stages at diagnosis. METHODS: Baseline demographics and tumor characteristics were analyzed for 10145 patients in Surveillance, Epidemiology, and End Results (SEER) Program-registered HCC. Multiple linear regression models were used for age adjustment with patient race, sex, marital status, and HCC grade. RESULTS: The age at diagnosis was younger in Caucasians and males. The adjusted average age of patients with stage I HCC was 65.26 years. The adjusted age of patients with stage II, IIIA, IIIB, and IIIC was -0.17, -0.25, -0.29, and -0.55 adjusted-year younger compared with patients with stage I HCC (all P < 0.001). The adjusted average age of patients with T1 was 65.26 years. The age adjustment was -0.17, -0.26, and -0.55 respectively (all P < 0.001) for T2, T3 or T4 tumors without distant metastases. CONCLUSIONS: These findings demonstrated that the more advanced the HCC stage at diagnosis, the younger the age at diagnosis and the faster the HCC growth from tumor occurrence.