Publications by authors named "Jianjun Qian"

42 Publications

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

Front Oncol 2021 21;11:641487. Epub 2021 May 21.

Medical College of Yangzhou University, Yangzhou, China.

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.
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http://dx.doi.org/10.3389/fonc.2021.641487DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175984PMC
May 2021

The prognostic evaluation of CA19-9, D-dimer and TNFAIP3/A20 in patients with pancreatic ductal adenocarcinoma.

Medicine (Baltimore) 2021 Feb;100(6):e24651

Department of General Surgery, The Fourth Affiliated Hospital of Anhui Medical University, Hefei.

Abstract: This study aimed to explore the significance and prognostic value of serum tumor-associated carbohydrate antigen 19-9 (CA19-9), D-dimer, and tumor necrosis factor alpha-induced protein 3 (TNFAIP3/A20) in patients with pancreatic ductal adenocarcinoma (PDAC).Our study included 148 patients treated for PDAC at Northern Jiangsu People's Hospital Affiliated to Yangzhou University from January 2012 to December 2016. Cutoff prognostic values were predicted using the receiver operating characteristic (ROC) curve. The Kaplan-Meier method was used to assess the survival rates of patients. Univariate and multivariate COX regression analyses were used to evaluate the prognostic factors.The recommended cutoff values of neutrophil-lymphocyte rate (NLR), platelet-lymphocyte rate (PLR), CA19-9, and D-dimer were 2.04 (sensitivity, 0.59; specificity, 0.9; area under the ROC curve [AUC], 0.749; P < .001), 52.94 (sensitivity, 0.73; specificity, 0.95; AUC, 0.829; P < .001), 176.66 U/mL (sensitivity, 0.7; specificity, 0.9; AUC, 0.794; P < .001), and 1.18 mg/L (sensitivity, 0.82; specificity, 0.9; AUC, 0.845; P < .001), respectively. Positive TNFAIP3/A20 expression was considered as an inclusion criterion. Serum CA19-9 expression was related with lymph node metastasis (P = .010), tumor-lymph node-metastasis (TNM) stage (P < .001), and survival rate (P < .001). D-dimer was correlated with tumor differentiation grade (P = .014), tumor size (P = .045), TNM stage (P < .001), and survival rate (P < .001). TNFAIP3/A20 was correlated with tumor differentiation grade (P < .001), body mass index (BMI) (P < .001), TNM stage (P = .014), and survival rate (P < .001). Kaplan-Meier curves showed that PDAC patients had significant differences in CA19-9, D-dimer, and TNFAIP3/A20 expressions (P < .05). CA19-9, D-dimer, TNM stage, tumor differentiation grade, and TNFAIP3/A20 were independent prognostic markers for PDAC in univariate and multivariate COX analyses.CA19-9, D-dimer, and TNFAIP3/A20 were found to be independent prognostic markers for PDAC patients.
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http://dx.doi.org/10.1097/MD.0000000000024651DOI Listing
February 2021

Expression and prognostic analyses of SCAMPs in pancreatic adenocarcinoma.

Aging (Albany NY) 2021 01 20;13(3):4096-4114. Epub 2021 Jan 20.

Clinical Medical College of Yangzhou University, Yangzhou 225001, Jiangsu Province, China.

Due to the difficulties in early diagnosis of pancreatic adenocarcinoma (PAAD), many patients fail to receive optimal therapeutic regimens. The Secretory-Carrier-Membrane-Proteins (SCAMPs) are known to be dysregulated in a range of human diseases due to their characterized roles in mammalian cell exocytosis inferred from their functions as integral membrane proteins. However, the expression and prognostic value of SCAMPs in PAAD is poorly characterized. We compared cancer vs. healthy tissue and found that the expression of SCAMPs1-4 was upregulated in PAAD compared to normal tissue. In contrast, SCAMP5 expression was downregulated in PAAD. Moreover, the expression of SCAMPs1-4 was enhanced in PAAD cell lines according to Cancer Cell Line public database. Furthermore, the HPA, GEPIA databases and immunohistochemical analysis from 238 patients suggested that the loss of SCAMP1 led to improved overall survival (OS), whilst lower SCAMP5 levels led to a poorer OS. The univariate and multivariate analysis showed that SCAMP1 and SCAMP5 expression were independent prognostic factors of PAAD. In addition, the cBioPortal for Cancer Genomics, LinkedOmics datasets, and the GEPIA were used to identify the co-expression genes of SCAMP1,5 and the correlation between SCAMPs members. We conclude that SCAMPs 1 and 5 significantly represent promising diagnosis and prognostic biomarkers.
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http://dx.doi.org/10.18632/aging.202377DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906166PMC
January 2021

High Expression of COL17A1 Predicts Poor Prognosis and Promotes the Tumor Progression via NF-B Pathway in Pancreatic Adenocarcinoma.

J Oncol 2020 16;2020:8868245. Epub 2020 Dec 16.

Clinical Medical College of Yangzhou University, Yangzhou, Jiangsu 225001, China.

COL17A1 (collagen type XVII alpha 1 chain) is known to be upregulated and has a prognostic role in many malignancies, as well as contributing to cell proliferation, apoptosis, and invasion. However, little knowledge is available on the expression and prognostic value of COL17A1 in pancreatic adenocarcinoma (PDAC). In our study, we searched the public database and found that mRNA and protein levels of COL17A1 are commonly upregulated in PDAC tissues. The immunohistochemical analysis conducted by us revealed enhanced expression of COL17A1 protein in 169 PDAC samples compared with that in 67 adjacent normal tissues. We also observed a significantly positive correlation between COL17A1 expression and lymph node metastasis ( < 0.0001), TNM clinical stage ( < 0.0001), and pathology differentiation ( < 0.01). The KM-plot results indicated that PDAC patients with a high COL17A1 expression have a poorer overall survival ( < 0.001) than those with a low COL17A1 expression. The result of the Cox regression analysis of multivariate data suggested COL17A1 is an independent prognostic indicator of PDAC patients' overall survival. CCK-8, wound healing, and transwell assays suggested that COL17A1 knockdown markedly inhibited tumor proliferation and invasion in PDAC cells, and cells with COL17A1 overexpression had a prominently higher proliferative and invasive capacity. Knockdown of COL17A1 significantly upregulated the apoptosis rate. We deduce that upregulated COL17A1 activated the NF-B pathway in PDAC cells. In summary, our studies showed the prognostic value of COL17A1 in PDAC and that COL17A1 may act as a molecular therapeutic target for PDAC treatment.
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http://dx.doi.org/10.1155/2020/8868245DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758145PMC
December 2020

Role of Estrogen Receptor-Mediated Anti-Tumor Effects in U2OS Cells.

Ann Clin Lab Sci 2020 Nov;50(6):747-753

Department of Orthopedics, Second Affiliated Hospital of Zhejiang University School of Medicine

Objective: This study aimed to investigate the effects of 17β-estradiol and estrogen receptors (ERs) in U2OS cells.

Methods: Osteosarcoma U2OS cells were divided into six groups, and cell proliferation was determined using the cell counting kit-8 growth test. Furthermore, U2OS cell migration and invasion were examined by cell scratch test and Transwell invasion assays, respectively.

Results: At 48 h of 17β-estradiol exposure, U2OS cell viability decreased (<0.001); however, ERα siRNA and ERβ siR-NAs significantly increased cell viability (<0.01). Considering the cell positions at 0 h, the cell migration distance at 24 h significantly reduced in the presence of 17β-estradiol (<0.001); however, ERα and ERβ siRNAs significantly increased cell migration distance (<0.01). The number of invasive cells significantly decreased upon exposure to 17β-estradiol (<0.001); however, ERα and ERβ siRNAs significantly increased the number of invasive cells (<0.01 and <0.05, respectively).

Conclusions: 17β-estradiol exhibited significant anti-tumor effects on U2OS cells that were mediated by ERs and reduced cell proliferation, migration, and invasion.
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November 2020

Evaluation of small bowel motion and feasibility of using the peritoneal space to replace bowel loops for dose constraints during intensity-modulated radiotherapy for rectal cancer.

Radiat Oncol 2020 Sep 1;15(1):211. Epub 2020 Sep 1.

Department of Radiotherapy & Oncology, Second Affiliated Hospital of Soochow University, Institute of Radiotherapy and Oncology, Soochow University, Suzhou Key Laboratory for Radiation Oncology, Suzhou, 215004, China.

Background: The goal of this study was to assess small bowel motion and explore the feasibility of using peritoneal space (PS) to replace bowel loops (BL) via the dose constraint method to spare the small bowel during intensity-modulated radiotherapy (IMRT) for rectal cancer.

Methods: A total of 24 patients with rectal cancer who underwent adjuvant or neoadjuvant radiotherapy were selected. Weekly repeat CT scans from pre-treatment to the fourth week of treatment were acquired and defined as Plan, 1 W, 2 W, 3 W, and 4 W. The 4 weekly CT scans were co-registered to the Plan CT, BL and PS contours were delineated in all of the scans, an IMRT plan was designed on Plan CT using PS constraint method, and then copied to the 4 weekly CT scans. The dose-volume, normal tissue complication probability (NTCP) of the small bowel and their variations during treatment were evaluated.

Results: Overall, 109 sets of CT scans from 24 patients were acquired, and 109 plans were designed and copied. The BL and PS volumes were 250.3 cc and 1339.3 cc. The V of BL and PS based plan of pre-treatment were 182.6 cc and 919.0 cc, the shift% of them were 28.9 and 11.3% during treatment (p = 0.000), which was less in the prone position than in the supine position (25.2% vs 32.1%, p = 0.000; 9.9% vs 14.9%, p = 0.000). The NTCP and NTCP based plan of pre-treatment were 2.0 and 59.2%, the shift% during treatment were 46.1 and 14.0% respectively. Majority of BL's D and V were meet the safety standard during treatment using PS dose limit method except 3 times (3/109) of V and 5 times of D (5/109).

Conclusions: This study indicated that small bowel motion may lead to uncertainties in its dose volume and NTCP evaluation during IMRT for rectal cancer. The BL movements were significantly greater than PS, and the prone position was significantly less than the supine position. It is feasibility of using PS to replace BL to spare the small bowel, V < 830 cc is the dose constraint standard.
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http://dx.doi.org/10.1186/s13014-020-01650-zDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7466827PMC
September 2020

Primary prophylaxis for venous thromboembolism in ambulatory cancer patients: a systematic review and network meta-analysis.

Ann Palliat Med 2020 Sep 3;9(5):2970-2981. Epub 2020 Aug 3.

Medical college of Yangzhou University, Yangzhou, China; Department of Hepatobiliary and Pancreatic Surgery, Northern Jiangsu People's Hospital, Yangzhou, China.

Background: Ambulatory cancer patients carry a high risk of venous thromboembolism (VTE). However, the optimal prophylaxis strategy remains controversial. This meta-analysis compared the effectiveness and safety of apixaban, rivaroxaban, low molecular weight heparin (LMWH), semuloparin, aspirin, and warfarin for the prevention of VTE in ambulatory cancer patients.

Methods: A systematic review and network meta-analysis was performed. PubMed, the Cochrane Central Register of Controlled Trails (CENTRAL) and EMBASE electronic databases were searched from inception to 26 April 2019. In the meta-analysis, 19 randomized controlled trials (RCTs) in ambulatory cancer patients administrated venous thromboprophylaxis agents were included. The primary outcome was the risk of VTE. Safety outcomes included the occurrence of major-bleeding. Two investigators identified the studies and performed data extraction. A network meta-analysis was performed and agents were ranked using cumulative ranking (SUCRA) probabilities.

Results: We identified 19 studies, including 11,430 patients comparing 10 interventions. Compared to placebo controls, apixaban (5 mg) showed the highest efficacy for the prevention of VTE [odds ratio (OR) 0.36, 95% confidence interval (CI): 0.18-0.71, SUCRA=69.5] and was more effective than LMWH (OR 0.5, 0.39-0.63; SUCRA=52.1) or warfarin (OR 0.75, 95% CI: 0.35-1.59; SUCRA=25.6). Moreover, the safety of apixaban (5 mg) (OR 1.41, 95% CI: 0.33-5.93; SUCRA=58.5) was higher than LMWH (OR 1.96, 95% CI: 0.99-3.86; SUCRA=44.1) or warfarin (OR 3.06, 95% CI: 1.03-9.08; SUCRA=29.1). There were no significant differences between placebo and experimental groups in terms of patient deaths.

Conclusions: Anticoagulation therapies in ambulatory cancer patients can significantly reduce the risk of VTE. However, this protective effect was associated with a significantly increased risk of major bleeding. Apixaban at the appropriate dose can decrease the risk of VTE without increasing the bleeding risk. These findings require validation in larger study cohorts.
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http://dx.doi.org/10.21037/apm-20-47DOI Listing
September 2020

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

IEEE Trans Cybern 2020 Aug 12;PP. Epub 2020 Aug 12.

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-Łojasiewica (KŁ) 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.
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http://dx.doi.org/10.1109/TCYB.2020.3010960DOI Listing
August 2020

Joint Optimal Transport With Convex Regularization for Robust Image Classification.

IEEE Trans Cybern 2020 May 25;PP. Epub 2020 May 25.

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.
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http://dx.doi.org/10.1109/TCYB.2020.2991219DOI Listing
May 2020

PLS3 predicts poor prognosis in pancreatic cancer and promotes cancer cell proliferation via PI3K/AKT signaling.

J Cell Physiol 2020 11 2;235(11):8416-8423. Epub 2020 Apr 2.

Department of Hepatobiliary and Pancreatic Surgery, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China.

Plastin-3 plays a key role in cancer cell proliferation and invasion, but its prognostic value in pancreatic cancer (PACA) remains poorly defined. In this study, we show that PLS3 messenger RNA is overexpressed in PACA tissue compared with normal tissue. We accumulated 207 cases of PACA specimens to perform immunohistochemical analysis and demonstrated that PLS3 levels correlate with T-classification (p < .001) and pathology (p < .001). Furthermore, overall survival rates (p < .001) in tumors with high PLS3 expression were poor, as assessed through Kaplan-Meier survival analysis. PLS3 was found to be an independent prognostic factor for PACA through multivariate Cox regression analysis. Moreover, we found that PLS3 enhances the proliferation and invasion of tumor cells as assessed through Cell Counting Kit-8, wounding healing assays, and Transwell assays. The upregulation of PLS3 also led to enhanced phosphatidylinositol-3 kinase/protein kinase B signaling in PACA cells. These data suggest that PLS3 is a biomarker to estimate PACA progression and represents a molecular target for PACA therapy.
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http://dx.doi.org/10.1002/jcp.29685DOI Listing
November 2020

Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization with Convergence Guarantees.

IEEE Trans Image Process 2019 Dec 11. Epub 2019 Dec 11.

In recent years, low-rank matrix recovery problems have attracted much attention in computer vision and machine learning. The corresponding rank minimization problems are both combinational and NP-hard in general, which are mainly solved by both nuclear norm and Schatten-p (0
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http://dx.doi.org/10.1109/TIP.2019.2957925DOI Listing
December 2019

Dose optimization strategy of sacrum limitation in cervical cancer intensity modulation radiation therapy planning.

Medicine (Baltimore) 2019 Jun;98(24):e15938

Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Institute of Radiotherapy & Oncology, Soochow University, Suzhou, China.

The aim of this study was to investigate the dose optimization strategy for the sacrum to reduce the risk of pelvic insufficiency fracture (PIF).Using a retrospective study design, we analyzed data from 28 patients with cervical cancer who underwent postoperative adjuvant radiotherapy in our department from June 2017 to January 2018. Among these patients, 20 (71.4%) underwent external beam radiation therapy in the pelvic lymphatic drainage area (node-negative patients). Overall, 8 patients (28.6%) underwent radiotherapy in the pelvic lymphatic drainage area with a simultaneous integrated boost (node-positive patients). Furthermore, 20 patients were assigned to 2 groups of plans according to the prescribed doses of 5000 and 4500 cGy/25. Each group had 3 plans according to 3 different dose limit conditions: "pelvic bones and sacrum unlimited," "pelvic bones limited," and "pelvic bones + sacrum limited." The irradiation dose of the sacrum and pelvis was analyzed in three limited optimization models.The planning target volume conformity index and homogeneity index, based on different optimization modes in the 4500 and 5000 cGy plans, showed no significant differences. The D50% and Dmean of the pelvis + sacrum limited mode were significantly lower than those of the pelvic limited mode (P < .001). The dose of the sacrum and pelvis in the 4500 cGy plan in the lymphatic drainage area was significantly lower than that of the 5000 cGy plan (P < .001). In the lymph node boost group, the irradiation dose of the sacrum and pelvis was significantly increased (P ≤ .001).Increasing the limitation of the sacrum, on the basis of pelvic bone limitation, in cervical cancer intensity-modulated radiation therapy can significantly reduce the dose to the sacrum. Compared with the dose of 5000 cGy to the lymphatic drainage area, the dose of 4500 cGy was the largest influencing factor to reduce the dose to the sacrum.
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http://dx.doi.org/10.1097/MD.0000000000015938DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6587599PMC
June 2019

Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization.

IEEE Trans Neural Netw Learn Syst 2019 Oct 18;30(10):2916-2925. Epub 2019 Mar 18.

Recently, there is a rapidly increasing attraction for the efficient recovery of low-rank matrix in computer vision and machine learning. The popular convex solution of rank minimization is nuclear norm-based minimization (NNM), which usually leads to a biased solution since NNM tends to overshrink the rank components and treats each rank component equally. To address this issue, some nonconvex nonsmooth rank (NNR) relaxations have been exploited widely. Different from these convex and nonconvex rank substitutes, this paper first introduces a general and flexible rank relaxation function named weighted NNR relaxation function, which is actually derived from the initial double NNR (DNNR) relaxations, i.e., DNNR relaxation function acts on the nonconvex singular values function (SVF). An iteratively reweighted SVF optimization algorithm with continuation technology through computing the supergradient values to define the weighting vector is devised to solve the DNNR minimization problem, and the closed-form solution of the subproblem can be efficiently obtained by a general proximal operator, in which each element of the desired weighting vector usually satisfies the nondecreasing order. We next prove that the objective function values decrease monotonically, and any limit point of the generated subsequence is a critical point. Combining the Kurdyka-Łojasiewicz property with some milder assumptions, we further give its global convergence guarantee. As an application in the matrix completion problem, experimental results on both synthetic data and real-world data can show that our methods are competitive with several state-of-the-art convex and nonconvex matrix completion methods.
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http://dx.doi.org/10.1109/TNNLS.2019.2900572DOI Listing
October 2019

Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations.

IEEE Trans Neural Netw Learn Syst 2019 Sep 15;30(9):2825-2839. Epub 2019 Jan 15.

The recent studies have found that the nonconvex relaxation functions usually perform better than the convex counterparts in the l -norm and rank function minimization problems. However, due to the absence of convexity in these nonconvex problems, developing efficient algorithms with convergence guarantee becomes very challenging. Inspired by the basic ideas of both the Jacobian alternating direction method of multipliers (JADMMs) for solving linearly constrained problems with separable objectives and the proximal gradient methods (PGMs) for optimizing the unconstrained problems with one variable, this paper focuses on extending the PGMs to the proximal Jacobian iteration methods (PJIMs) for handling with a family of nonconvex composite optimization problems with two splitting variables. To reduce the total computational complexity by decreasing the number of iterations, we devise the accelerated version of PJIMs through the well-known Nesterov's acceleration strategy and further extend both to solve the multivariable cases. Most importantly, we provide a rigorous convergence analysis, in theory, to show that the generated variable sequence globally converges to a critical point by exploiting the Kurdyka-Łojasiewica (KŁ) property for a broad class of functions. Furthermore, we also establish the linear and sublinear convergence rates of the obtained variable sequence in the objective function. As the specific application to the nonconvex sparse and low-rank recovery problems, several numerical experiments can verify that the newly proposed algorithms not only keep fast convergence speed but also have high precision.
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http://dx.doi.org/10.1109/TNNLS.2018.2885699DOI Listing
September 2019

A dosimetric study on the use of 3D-printed customized boluses in photon therapy: A hydrogel and silica gel study.

J Appl Clin Med Phys 2019 Jan 7;20(1):348-355. Epub 2018 Nov 7.

Department of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China.

Purpose: The aim of the study was to compare the dose differences between two kinds of materials (silica gel and hydrogel) used to prepare boluses based on three-dimensional (3D) printing technologies and commercial bolus in head phantoms simulating nose, ear, and parotid gland radiotherapy.

Methods And Materials: We used 3D printing technology to make silica gel and hydrogel boluses. To evaluate the clinical feasibility, intensity modulated radiation therapy (IMRT) plans were created for head phantoms that were bolus-free or had a commercial bolus, a silica gel bolus, or a hydrogel bolus. Dosimetry differences were compared in simulating nose, ear, and parotid gland radiotherapy separately.

Results: The air gaps were smaller in the silica gel and hydrogel bolus than the commercial one. In nose plans, it was shown that the V (relative volume that is covered by at least 95% of the prescription dose) of the silica gel (99.86%) and hydrogel (99.95%) bolus were better than the commercial one (98.39%) and bolus-free (87.52%). Similarly, the homogeneity index (HI) and conformity index (CI) of the silica gel (0.06; 0.79) and hydrogel (0.058; 0.80) bolus were better than the commercial one (0.094; 0.72) and bolus-free (0.59; 0.53). The parameters of results (HI, CI, V ) were also better in 3D printing boluses than in the commercial bolus or without bolus in ear and parotid plans.

Conclusions: Silica gel and hydrogel boluses were not only good for fit and a high level of comfort and repeatability, but also had better parameters in IMRT plans. They could replace the commercial bolus for clinical use.
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http://dx.doi.org/10.1002/acm2.12489DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6333182PMC
January 2019

Identification of lncRNAs and Their Functional Network Associated with Chemoresistance in SW1990/GZ Pancreatic Cancer Cells by RNA Sequencing.

DNA Cell Biol 2018 Oct 16;37(10):839-849. Epub 2018 Aug 16.

3 Department of Hepatobiliary and Pancreatic Surgery, Northern Jiangsu People's Hospital, Clinic Medical College of Yangzhou University , Yangzhou, China .

Drug resistance is a major problem in the treatment of pancreatic cancer (PC). Long noncoding (lnc)RNAs modulate a variety of cellular processes. This study was carried out to identify lncRNAs that are differentially expressed in drug-resistant PC by next-generation RNA sequencing. We identified 205 differentially expressed lncRNAs (DELs) and 847 differentially expressed mRNAs (DEMs) in a comparison of gemcitabine-resistant and -sensitive SW1990 human PC cells. The expression levels of 12 randomly selected lncRNAs were confirmed by quantitative real-time PCR. A total of 55 and 99 DEMs were predicted to be targeted by the DELs through cis and trans mechanisms, respectively. The DEMs were significantly enriched in the Gene Ontology terms cell part, binding, and cellular processes, and a Kyoto Encyclopedia of Genes and Genomes analysis showed that they were associated with metabolic pathway, pathways in cancer, insulin resistance, microRNAs in cancer, and phosphotidylinositol 3-kinase-Akt signaling pathway. A coexpression network revealed a hub comprising lncRNAs (MIR210HG, SNHG1, and LOC729970) and mRNAs (RAB3D, DDX17, and SPNS2) that presumably mediate drug resistance in PC. The identified lncRNAs can serve as diagnostic or prognostic biomarkers and therapeutic targets for PC.
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http://dx.doi.org/10.1089/dna.2018.4312DOI Listing
October 2018

A Novel Technique for Synchronous Laparoscopic Splenectomy and Azygoportal Disconnection With Hepatectomy.

Surg Innov 2018 Jun 13;25(3):218-223. Epub 2018 Mar 13.

1 Clinical Medical College of Yangzhou University, Yangzhou, Jiangsu Province, China.

Background: Liver resection was not formerly recommended in patients with both hepatocellular carcinoma (HCC) and portal hypertension because of difficult perioperative bleeding control and postoperative liver failure. Splenectomy is a proven method with which to overcome these problems. To investigate the safety and feasibility of synchronous laparoscopic splenectomy and azygoportal disconnection with hepatectomy (LSDH) for treatment of portal hypertension accompanied with HCC, we describe a clinical cohort of 10 patients who underwent a new technique of synchronous LSDH.

Methods: A cohort of 10 cirrhotic patients with HCC, esophageal/gastric variceal bleeding, and hypersplenism received LSDH. A 6-port method was used for LSDH. This procedure comprises 5 steps: laparoscopic splenectomy, intraoperative splenic blood salvage, laparoscopic azygoportal disconnection, laparoscopic partial hepatectomy, and removal of spleen and liver specimens. Intraoperative autologous cell salvage was performed before hepatectomy.

Results: LSDH was successful in all patients. There was no conversion to open operations. The operative time was 220.5 ± 19.8 minutes, blood loss was 264.0 ± 160.3 mL, and postoperative hospital stay was 10.2 ± 1.8 days.

Conclusions: Selective synchronous LSDH is a feasible, effective, and safe surgical procedure with satisfactory short-term efficacy. It is a promising minimally invasive treatment option for patients with cirrhotic HCC and portal hypertension.
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http://dx.doi.org/10.1177/1553350618759151DOI Listing
June 2018

The involvement of lncRNAs in the development and progression of pancreatic cancer.

Cancer Biol Ther 2017 Dec 27;18(12):927-936. Epub 2017 Nov 27.

c Department of Hepatobiliary and Pancreatic Surgery , Northern Jiangsu People's Hospital, Clinical medical college of Yangzhou University , Yangzhou , Jiangsu , P. R. China.

Pancreatic cancer is one of the most malignant tumors that are difficult to diagnose at its early stage and there is no effective therapy. Recent studies uncovered that many non-protein-coding RNAs including the class of long noncoding RNAs (lncRNAs) are differentially expressed in various types of tumors and they are potent regulators of tumor progression and metastasis. LncRNA can mediate tumor initiation, proliferation, migration and metastasis through modulating epigenetic modification, alternative splicing, transcription, and protein translation. In this review, we discuss the molecular mechanism of lncRNAs in the involvement of tumor growth, survival, epithelial-mesenchymal transition, tumor microenvironment, cancer stem cells and chemoresistance in pancreatic ductal adenocarcinoma (PDAC).
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http://dx.doi.org/10.1080/15384047.2017.1385682DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718823PMC
December 2017

Modified Laparoscopic Pyloroplasty During Laparoscopic Splenectomy and Azygoportal Disconnection for the Prevention of Postoperative Gastroparesis.

Surg Innov 2017 Aug 13;24(4):328-335. Epub 2017 Mar 13.

1 Clinical Medical College of Yangzhou University, Yangzhou, Jiangsu Province, China.

Background: Gastroparesis is a common complication after splenectomy and azygoportal disconnection, remaining a chronic debilitating disorder with considerable treatment challenges. To minimize postoperative gastroparesis, we have developed a new modified laparoscopic pyloroplasty (LP) technique for use during laparoscopic splenectomy and azygoportal disconnection (LSD).

Methods: We retrospectively evaluated the outcomes of 31 cirrhotic patients with portal hypertensive bleeding and secondary hypersplenism who underwent synchronous LSD with modified LP (n = 14) or LSD without modified LP (n = 17) between January 2015 and August 2015. Perioperative variables were compared.

Results: LSD with and without modified LP were successful in all patients. Operation time was significantly longer for LSD with modified LP than LSD without modified LP ( P = .001). However, the LSD with modified LP group had significantly reduced incidences of bloating 1 month postoperatively ( P < .05), nausea ( P < .05), and bloating ( P < .05) 3 months postoperatively, gastric retention 3 months postoperatively ( P < .0001), and prokinetic use at 1 month ( P = .009) and 3 months postoperatively ( P < .05) compared with the LSD without modified LP group. Gastric emptying scintigraphy showed that the mean time required to empty 50% of the ingested meal was significantly shorter in the LSD with modified LP group than in the LSD without modified LP group at 3 months postoperatively (74.3 ± 19.1 vs 261.7 ± 61.0 minutes, P < .0001).

Conclusions: Modified LP during LSD was feasible, effective, and safe, and significantly reduced short-term symptoms of postoperative gastroparesis.
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http://dx.doi.org/10.1177/1553350617697186DOI Listing
August 2017

Robust Nuclear Norm-Based Matrix Regression With Applications to Robust Face Recognition.

IEEE Trans Image Process 2017 May 1;26(5):2286-2295. Epub 2017 Feb 1.

Face recognition (FR) via regression analysis-based classification has been widely studied in the past several years. Most existing regression analysis methods characterize the pixelwise representation error via l -norm or l -norm, which overlook the 2D structure of the error image. Recently, the nuclear norm-based matrix regression model is proposed to characterize low-rank structure of the error image. However, the nuclear norm cannot accurately describe the low-rank structural noise when the incoherence assumptions on the singular values does not hold, since it overpenalizes several much larger singular values. To address this problem, this paper presents the robust nuclear norm to characterize the structural error image and then extends it to deal with the mixed noise. The majorization-minimization (MM) method is applied to derive a iterative scheme for minimization of the robust nuclear norm optimization problem. Then, an efficiently alternating direction method of multipliers (ADMM) method is used to solve the proposed models. We use weighted nuclear norm as classification criterion to obtain the final recognition results. Experiments on several public face databases demonstrate the effectiveness of our models in handling with variations of structural noise (occlusion, illumination, and so on) and mixed noise.
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http://dx.doi.org/10.1109/TIP.2017.2662213DOI Listing
May 2017

Tree-Structured Nuclear Norm Approximation with Applications to Robust Face Recognition.

IEEE Trans Image Process 2016 12 22;25(12):5757-5767. Epub 2016 Sep 22.

Structured sparsity, as an extension of standard sparsity, has shown the outstanding performance when dealing with some highly correlated variables in computer vision and pattern recognition. However, the traditional mixed (L1, L2) or (L1, L∞) group norm becomes weak in characterizing the internal structure of each group since they cannot alleviate the correla-tions between variables. Recently, nuclear norm has been vali-dated to be useful for depicting a spatially structured matrix variable. It considers the global structure of the matrix variable but overlooks the local structure. To combine the advantages of structured sparsity and nuclear norm, this paper presents a tree-structured nuclear norm approximation (TSNA) model as-suming that the representation residual with tree-structured prior is a random matrix variable and follows a dependent matrix dis-tribution. The Extended Alternating Direction Method of Multi-pliers (EADMM) is utilized to solve the proposed model. An effi-cient bound condition based on the extended restricted isometry constants is provided to show the exact recovery of the proposed model under the given noisy case. In addition, TSNA is connected with some newest methods such as sparse representation based classifier (SRC), nuclear-L1 norm joint regression (NL1R) and nuclear norm based matrix regression (NMR), which can be re-garded as the special cases of TSNA. Experiments with face re-construction and recognition demonstrate the benefits of TSNA over other approaches.
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http://dx.doi.org/10.1109/TIP.2016.2612885DOI Listing
December 2016

Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise.

IEEE Trans Neural Netw Learn Syst 2017 09 23;28(9):2168-2182. Epub 2016 Jun 23.

Dealing with partial occlusion or illumination is one of the most challenging problems in image representation and classification. In this problem, the characterization of the representation error plays a crucial role. In most current approaches, the error matrix needs to be stretched into a vector and each element is assumed to be independently corrupted. This ignores the dependence between the elements of error. In this paper, it is assumed that the error image caused by partial occlusion or illumination changes is a random matrix variate and follows the extended matrix variate power exponential distribution. This has the heavy tailed regions and can be used to describe a matrix pattern of l×m dimensional observations that are not independent. This paper reveals the essence of the proposed distribution: it actually alleviates the correlations between pixels in an error matrix E and makes E approximately Gaussian. On the basis of this distribution, we derive a Schatten p -norm-based matrix regression model with L regularization. Alternating direction method of multipliers is applied to solve this model. To get a closed-form solution in each step of the algorithm, two singular value function thresholding operators are introduced. In addition, the extended Schatten p -norm is utilized to characterize the distance between the test samples and classes in the design of the classifier. Extensive experimental results for image reconstruction and classification with structural noise demonstrate that the proposed algorithm works much more robustly than some existing regression-based methods.
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http://dx.doi.org/10.1109/TNNLS.2016.2573644DOI Listing
September 2017

Face Recognition With Pose Variations and Misalignment via Orthogonal Procrustes Regression.

IEEE Trans Image Process 2016 06;25(6):2673-83

A linear regression-based method is a hot topic in face recognition community. Recently, sparse representation and collaborative representation-based classifiers for face recognition have been proposed and attracted great attention. However, most of the existing regression analysis-based methods are sensitive to pose variations. In this paper, we introduce the orthogonal Procrustes problem (OPP) as a model to handle pose variations existed in 2D face images. OPP seeks an optimal linear transformation between two images with different poses so as to make the transformed image best fits the other one. We integrate OPP into the regression model and propose the orthogonal Procrustes regression (OPR) model. To address the problem that the linear transformation is not suitable for handling highly non-linear pose variation, we further adopt a progressive strategy and propose the stacked OPR. As a practical framework, OPR can handle face alignment, pose correction, and face representation simultaneously. We optimize the proposed model via an efficient alternating iterative algorithm, and experimental results on three popular face databases, such as CMU PIE database, CMU Multi-PIE database, and LFW database, demonstrate the effectiveness of our proposed method.
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http://dx.doi.org/10.1109/TIP.2016.2551362DOI Listing
June 2016

Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes.

IEEE Trans Pattern Anal Mach Intell 2017 01 26;39(1):156-171. Epub 2016 Feb 26.

Recently, regression analysis has become a popular tool for face recognition. Most existing regression methods use the one-dimensional, pixel-based error model, which characterizes the representation error individually, pixel by pixel, and thus neglects the two-dimensional structure of the error image. We observe that occlusion and illumination changes generally lead, approximately, to a low-rank error image. In order to make use of this low-rank structural information, this paper presents a two-dimensional image-matrix-based error model, namely, nuclear norm based matrix regression (NMR), for face representation and classification. NMR uses the minimal nuclear norm of representation error image as a criterion, and the alternating direction method of multipliers (ADMM) to calculate the regression coefficients. We further develop a fast ADMM algorithm to solve the approximate NMR model and show it has a quadratic rate of convergence. We experiment using five popular face image databases: the Extended Yale B, AR, EURECOM, Multi-PIE and FRGC. Experimental results demonstrate the performance advantage of NMR over the state-of-the-art regression-based methods for face recognition in the presence of occlusion and illumination variations.
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http://dx.doi.org/10.1109/TPAMI.2016.2535218DOI Listing
January 2017

CIP2A down regulation enhances the sensitivity of pancreatic cancer cells to gemcitabine.

Oncotarget 2016 Mar;7(12):14831-40

Department of Hepatobiliary and Pancreatic Surgery, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou City, Jiangsu Province of P. R. China, 225001.

Cancerous inhibitor of protein phosphatase 2A (CIP2A) is an oncoprotein which participates in inhibiting tumor apoptosis in pancreatic cancer cells. Using immunohistochemical staining, we investigated the expression of CIP2A protein in 72 cases of human pancreatic ductal adenocarcinoma (PDAC) tissue and 27 cases of adjacent normal pancreatic tissue. The positive rate of CIP2A protein expression in pancreatic cancer tissue was70.83 %, which was significantly higher than that in adjacent non- cancerous pancreatic tissue (11.11%). The expression of CIP2A was found to be correlated with TNM stage, but not correlated with age, gender, tumor location, smoking status, alcohol consumption, diabetes, high blood pressure, BMI, tumor size, lymph node metastasis or distant metastases. Kaplan- Meier survival analysis showed that patients with positive CIP2A protein expression had a lower overall survival rate than patients without CIP2A expression. COX regression analysis indicated that expression of CIP2A was an independent prognostic factor for pancreatic ductal adenocarcinoma. In addition, down-regulation of CIP2A inhibited cell proliferation and increased sensitivity to gemcitabine in pancreatic cancer cells by decreasing AKT signaling pathway. Our results indicated that down-regulation of CIP2A could be a novel therapeutic strategy for pancreatic cancer.
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http://dx.doi.org/10.18632/oncotarget.7447DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924755PMC
March 2016

MiR-125a regulates chemo-sensitivity to gemcitabine in human pancreatic cancer cells through targeting A20.

Acta Biochim Biophys Sin (Shanghai) 2016 Feb 11;48(2):202-8. Epub 2016 Jan 11.

Department of Hepatobiliary and Pancreatic Surgery, the Northern Jiangsu People's Hospital, Clinic Medical College of Yangzhou University, Yangzhou 225001, China.

Pancreatic ductal adenocarcinoma (PDAC) is one of the most deadly human malignant diseases and the sixth leading cause of cancer-related deaths in China. Gemcitabine is the only first-line chemotherapeutic agent used for the palliative treatment of patients with PDAC, but chemo-resistance limits their efficacy. Here, we showed that miR-125a was up-regulated in chemo-resistant SW1990GZ cells when compared with SW1990 cells. Over-expression of miR-125a increased the chemo-resistance to gemcitabine in SW1990 cells, while down-regulation of miR-125a in SW1990GZ cells increased chemo-sensitivity to gemcitabine. By using bioinformatics analysis tool (Targetscan), the 3' untranslated region (3'UTR) of A20 gene was found to be a target of miR-125a. Luciferase reporter assay further confirmed that A20 3'UTR is a direct target of miR-125a. Over-expression of A20 in SW1990 cells increased chemo-sensitivity to gemcitabine, while knockdown of A20 in SW1990 cells promoted the chemo-resistance to gemcitabine. Finally, the expression level of miR-125a in pancreatic cancer tissues from chemo-sensitive patients was significantly lower than that from chemo-resistant patients, and was inversely correlated with the A20 mRNA levels. In conclusion, our results suggest that miR-125a promotes chemo-resistance to gemcitabine in pancreatic cells through targeting A20, which may provide novel therapeutic targets or molecular biomarkers for cancer therapy and improve tumor diagnosis or predictions of therapeutic responses.
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http://dx.doi.org/10.1093/abbs/gmv129DOI Listing
February 2016

The Ser326Cys polymorphism of hOGG1 is associated with intrahepatic cholangiocarcinoma susceptibility in a Chinese population.

Int J Clin Exp Med 2015 15;8(9):16294-300. Epub 2015 Sep 15.

Liver Transplantation Center, First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Living Donor Liver Transplantation, Ministry of Public Health Nanjing 210029, China.

Objective: Intrahepatic cholangiocarcinoma is a rare disease whose etiology is far from clear, the Ser326Cys polymorphism in human 8-hydroxyguanine glycosylase (hOGG1) has been shown associated with various cancers, however, the association of Ser326Cys (rsl052133) polymorphism and intrahepatic cholangiocarcinoma susceptibility has not been clarified. The purpose of this study is to investigate whether this polymorphism is related to the genetic susceptibility of intrahepatic cholangiocarcinoma.

Methods: A total 150 patients and 150 normal people were included in this study, the Ser326Cys polymorphisms in each group were genotyped using PCR-RFLP method.

Results: We found that individuals carrying Cys/Cys genotype were exposed to higher riskof intrahepatic cholangiocarcinoma (OR=2.924, 95% CI=1.475-5.780) compared with the individuals with wild type genotype Ser/Ser. Further analysis revealed that male individuals carrying Cys/Cys genotype also had increased risk (OR=2.762, 95% CI=1.233-6.173), whereas no significant difference was observed in female group.

Conclusions: Therefore, our data indicates that the Ser326Cys (rs1052133) polymorphism is associated with intrahepatic cholangiocarcinoma susceptibility, and it shows preference in male population.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4659035PMC
December 2015

The dosimetric comparison of the radiotherapeutic plans between composite and synchronous planning approaches in sequential IMRT for nasopharyngeal carcinoma.

Int J Clin Exp Med 2015 15;8(9):15975-82. Epub 2015 Sep 15.

Department of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University Suzhou 215004, China.

The aim of present study was to compare the dosimetric differences of the radiotherapeutic plans between synchronous and composite planning approaches in sequential intensity-modulated radiation therapy (IMRT) for nasopharyngeal carcinoma (NPC). Twelve patients with NPC treated by sequential IMRT were enrolled. Two planning approaches were used to design sequential IMRT plan. The first was composite planning approach, in which the initial and boost plans were designed and optimized independently. The second was synchronous planning approach, in which the boost IMRT plan was designed on foundation of the initial IMRT plan, and its optimization would be adjusted based on dose distributions of the initial IMRT plan. Dosimetric comparisons in IMRT plans between composite and synchronous planning approaches were analyzed to evaluate (1) dose coverage, conformity, and homogeneity of the planning target volume (PTV), (2) sparing of organs at risk (OARs), and (3) the number of segments and monitor units (MUs). The results showed that both of the summed plans for the entire treatment course were achieved according to the original planning goals, and the dose coverage, conformity and homogeneity for each PTV was similar. With regard to sparing brain stem, spinal cord and parotid glands, there was no significant difference in the summed plans between two planning approaches. However, the boost IMRT plan by composite planning approach tended to have a higher dose coverage (P = 0.000), conformity (P = 0.000), and homogeneity (P = 0.000) than that of the plan by synchronous planning approach. Moreover, the boost plan by composite planning approach reduced the MUs significantly (P = 0.000). The results indicated that the radiotherapeutic plan by composite planning approach provides better dose coverage, conformity and homogeneity for the PTV in the boost plan than that by synchronous planning approach, and reduced MUs in sequential intensity modulated radiotherapy.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4658990PMC
December 2015

Matrix variate distribution-induced sparse representation for robust image classification.

IEEE Trans Neural Netw Learn Syst 2015 Oct 12;26(10):2291-300. Epub 2015 Feb 12.

Sparse representation learning has been successfully applied into image classification, which represents a given image as a linear combination of an over-complete dictionary. The classification result depends on the reconstruction residuals. Normally, the images are stretched into vectors for convenience, and the representation residuals are characterized by l2 -norm or l1 -norm, which actually assumes that the elements in the residuals are independent and identically distributed variables. However, it is hard to satisfy the hypothesis when it comes to some structural errors, such as illuminations, occlusions, and so on. In this paper, we represent the image data in their intrinsic matrix form rather than concatenated vectors. The representation residual is considered as a matrix variate following the matrix elliptically contoured distribution, which is robust to dependent errors and has long tail regions to fit outliers. Then, we seek the maximum a posteriori probability estimation solution of the matrix-based optimization problem under sparse regularization. An alternating direction method of multipliers (ADMMs) is derived to solve the resulted optimization problem. The convergence of the ADMM is proven theoretically. Experimental results demonstrate that the proposed method is more effective than the state-of-the-art methods when dealing with the structural errors.
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http://dx.doi.org/10.1109/TNNLS.2014.2377477DOI Listing
October 2015

Overexpression of deubiquitinating enzyme USP28 promoted non-small cell lung cancer growth.

J Cell Mol Med 2015 Apr 5;19(4):799-805. Epub 2015 Feb 5.

Department of Cardiothoracic Surgery, Jinling Hospital, School of Clinical Medicine, Nanjing University, Nanjing, Jiangsu Province, China.

Non-small cell lung cancer (NSCLC) accounts for most lung cancer. To develop new therapy required the elucidation of NSCLC pathogenesis. The deubiquitinating enzymes USP 28 has been identified and studied in colon and breast carcinomas. However, the role of USP28 in NSCLC is unknown. The level mRNA or protein level of USP28 were measured by qRT-PCR or immunohistochemistry (IHC). The role of USP28 in patient survival was revealed by Kaplan-Meier plot of overall survival in NSCLC patients. USP28 was up or down regulated by overexpression plasmid or siRNA transfection. Cell proliferation and apoptosis was assayed by MTT and FACS separately. Potential microRNAs, which targeted USP28, were predicated by bioinformatic algorithm and confirmed by Dual Luciferase reporter assay system. High mRNA and protein level of USP28 in NSCLC were both correlated with low patient survival rate. Overexpression of USP28 promoted NSCLC cells growth and vice versa. Down-regulation of USP28 induced cell apoptosis. USP28 was targeted by miR-4295. Overexpression of USP28 promoted NSCLC cells proliferation, and was associated with poor prognosis in NSCLC patients. The expression of USP28 may be regulated by miR-4295. Our data suggested that USP28 was a tumour-promoting factor and a promising therapeutic target for NSCLC.
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http://dx.doi.org/10.1111/jcmm.12426DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395194PMC
April 2015
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