Identification of histopathological classification and establishment of prognostic indicators of gastric adenocarcinoma based on deep learning algorithm.

The aim of this study is to establish a deep learning (DL) model to predict the pathological type of gastric adenocarcinoma cancer based on whole-slide images(WSIs). We downloaded 356 histopathological images of gastric adenocarcinoma (STAD) patients from The Cancer Genome Atlas database and randomly divided them into the training set, validation set and test set (8:1:1). Additionally, 80 H&E-stained WSIs of STAD were collected for external validation. The CLAM tool was used to cut the WSIs and further construct the model by DL algorithm, achieving an accuracy of over 90% in identifying and predicting histopathological subtypes. External validation results demonstrated the model had a certain generalization ability. Moreover, DL features were extracted from the model to further investigate the differences in immune infiltration and patient prognosis between the two subtypes. The DL model can accurately predict the pathological classification of STAD patients, and provide certain reference value for clinical diagnosis. The nomogram combining DL-signature, gene-signature and clinical features can be used as a prognostic classifier for clinical decision-making and treatment.

TSE-GAN: strain elastography using generative adversarial network for thyroid disease diagnosis.

Over the past 35 years, studies conducted worldwide have revealed a threefold increase in the incidence of thyroid cancer. Strain elastography is a new imaging technique to identify benign and malignant thyroid nodules due to its sensitivity to tissue stiffness. However, there are certain limitations of this technique, particularly in terms of standardization of the compression process, evaluation of results and several assumptions used in commercial strain elastography modes for the purpose of simplifying imaging analysis. In this work, we propose a novel conditional generative adversarial network (TSE-GAN) for automatically generating thyroid strain elastograms, which adopts a global-to-local architecture to improve the ability of extracting multi-scale features and develops an adaptive deformable U-net structure in the sub-generator to apply effective deformation. Furthermore, we introduce a Lab-based loss function to induce the networks to generate realistic thyroid elastograms that conform to the probability distribution of the target domain. Qualitative and quantitative assessments are conducted on a clinical dataset provided by Shanghai Sixth People's Hospital. Experimental results demonstrate that thyroid elastograms generated by the proposed TSE-GAN outperform state-of-the-art image translation methods in meeting the needs of clinical diagnostic applications and providing practical value.

GL-FusionNet: Fusing global and local features to classify deep and superficial partial thickness burn.

Burns constitute one of the most common injuries in the world, and they can be very painful for the patient. Especially in the judgment of superficial partial thickness burns and deep partial thickness burns, many inexperienced clinicians are easily confused. Therefore, in order to make burn depth classification automated as well as accurate, we have introduced the deep learning method. This methodology uses a U-Net to segment burn wounds. On this basis, a new thickness burn classification model that fuses global and local features (GL-FusionNet) is proposed. For the thickness burn classification model, we use a ResNet50 to extract local features, use a ResNet101 to extract global features, and finally implement the add method to perform feature fusion and obtain the deep partial or superficial partial thickness burn classification results. Burns images are collected clinically, and they are segmented and labeled by professional physicians. Among the segmentation methods, the U-Net used achieved a Dice score of 85.352 and IoU score of 83.916, which are the best results among all of the comparative experiments. In the classification model, different existing classification networks are mainly used, as well as a fusion strategy and feature extraction method that are adjusted to conduct experiments; the proposed fusion network model also achieved the best results. Our method yielded the following: accuracy of 93.523, recall of 93.67, precision of 93.51, and F1-score of 93.513. In addition, the proposed method can quickly complete the auxiliary diagnosis of the wound in the clinic, which can greatly improve the efficiency of the initial diagnosis of burns and the nursing care of clinical medical staff.

Schisandrin B induces HepG2 cells pyroptosis by activating NK cells mediated anti-tumor immunity.

Pyroptosis, an inflammatory programmed cell death, has been suggested as a novel molecular mechanism for the treatment of hepatocellular carcinoma (HCC) with chemotherapeutic agents. Recent studies showed that natural killer (NK) cells could inhibit apoptosis and regulate the progression of pyroptosis in tumor cells. Schisandrin B (Sch B), a lignan isolated from Schisandrae chinensis (Turcz.) Baill. (Schisandraceae) Fructus, has various pharmacological activities including anti-cancer effects. The purpose of this study was to investigate the effect of NK cells on Sch B's regulation of pyroptosis in HCC cells and the molecular mechanisms implicated. The results showed that Sch B alone could decrease cell viability and induce apoptosis in HepG2 cells. However, Sch B induced apoptosis in HepG2 cells was transformed into pyroptosis in the presence of NK cells. The mechanisms underlying NK cell's effect on pyroptosis in Sch B-treated HepG2 cells was related to its activation of caspase 3-Gasdermin E (GSDME). Further studies revealed that NK cell induced caspase 3 activation was derived from its activation of perforin-granzyme B pathway. This study explored the effect of Sch B and NK cells on pyroptosis in HepG2 cells and revealed that perforin-granzyme B-caspase 3-GSDME pathway is involved in the process of pyroptosis. These results proposed an immunomodulatory mechanism of Sch B on HepG2 cells pyroptosis and suggested Sch B as a promising immunotherapy combination partner for the treatment of HCC.

Schisandrin B promotes senescence of activated hepatic stellate cell via NCOA4-mediated ferritinophagy.

CONTEXT: Schisandrin B (Sch B), an active ingredient from Schisandrae chinensis (Turcz.) Baill. (Schisandraceae) Fructus, possesses diverse pharmacological activities including antitumor, anti-inflammation, and hepatoprotection. OBJECTIVE: To explore the effect of Sch B on activated HSCs senescence in hepatic fibrosis and the mechanisms implicated. MATERIALS AND METHODS: ICR mice with CCl4-induced hepatic fibrosis were supplemented with Sch B (40 mg/kg) for 30 d and LX2 cells were treated with Sch B (5, 10 and 20 µM) for 24 h. Cellular senescence was assessed by senescence-related indicators senescence-associated ß-galactosidase (SA-ß-gal) activity and the expression of p16, p21, p53, γ-H2AX, H3K9me3, TERT, TRF1, and TRF2. Ferric ammonium citrate (FAC) and NCOA4 siRNA were used to evaluate the mechanisms underlying Sch B's regulation of cellular senescence. RESULTS: Sch B (40 mg/kg) reduced serum levels of AST and ALT (53.2% and 63.6%), alleviated hepatic collagen deposition, and promoted activated HSCs senescence in mice. Treatment with Sch B (20 µM) decreased cell viability to 80.38 ± 4.87% and elevated SA-ß-gal activity, with the levels of p16, p21 and p53 increased by 4.5-, 2.9-, and 3.5-fold and the levels of TERT, TRF1 and TRF2 decreased by 2.4-, 2.7-, and 2.6-fold in LX2 cells. FAC (400 µM) enhanced Sch B's effect mentioned above. NCOA4 siRNA weakened the effects of Sch B on iron deposition and HSCs senescence. CONCLUSIONS: Sch B could ameliorate hepatic fibrosis through the promotion of activated HSCs senescence, which might be attributed to its induction of NCOA4-mediated ferritinophagy and subsequent iron overload.

Curcumol Suppresses CCF-Mediated Hepatocyte Senescence Through Blocking LC3B-Lamin B1 Interaction in Alcoholic Fatty Liver Disease.

Recent studies indicated that hepatocyte senescence plays an important role in the development of alcoholic fatty liver disease (AFLD), suggesting that inhibition of hepatocyte senescence might be a potential strategy for AFLD treatment. The present study investigated the effect of curcumol, a component from the root of Rhizoma Curcumae, on hepatocyte senescence in AFLD and the underlying mechanisms implicated. The results showed that curcumol was able to reduce lipid deposition and injury in livers of ethanol liquid diet-fed mice and in ethanol-treated LO2 cells. Both in vivo and in vitro studies indicated that supplementation with curcumol effectively alleviated ethanol-induced cellular senescence as manifested by a decrease in senescence-associated ß-galactosidase (SA-ß-gal) activity, a downregulated expression of senescence-related markers p16 and p21, and dysfunction of the telomere and telomerase system. Consistently, treatment with curcumol led to a marked suppression of ethanol-induced formation of cytoplasmic chromatin fragments (CCF) and subsequent activation of cGAS-STING, resulting in a significant reduction in senescence-associated secretory phenotype (SASP)-related inflammatory factors' secretion. Further studies indicated that curcumol's inhibition of CCF formation might be derived from blocking the interaction of LC3B with lamin B1 and maintaining nuclear membrane integrity. Taken together, these results indicated that curcumol was capable of ameliorating AFLD through inhibition of hepatocyte senescence, which might be attributed to its blocking of LC3B and lamin B1 interaction and subsequent inactivation of the CCF-cGAS-STING pathway. These findings suggest a promising use of curcumol in the treatment of AFLD.

Curcumol inhibits ferritinophagy to restrain hepatocyte senescence through YAP/NCOA4 in non-alcoholic fatty liver disease.

OBJECTIVES: In recent years, cellular senescence has attracted a lot of interest in researchers due to its involvement in non-alcoholic fatty liver disease (NAFLD). However, the mechanism of cellular senescence is not clear. The purpose of this study was to investigate the effect of curcumol on hepatocyte senescence in NAFLD and the molecular mechanisms implicated. MATERIALS AND METHODS: LVG Golden Syrian hamsters, C57BL/6J mice and human hepatocyte cell line LO2 were used. Cellular senescence was assessed by analyses of senescence marker SA-ß-gal, p16 and p21, H3K9me3, γ-H2AX and telomerase activity. RESULTS: The results showed that curcumol could inhibit hepatocyte senescence in both in vivo and in vitro NAFLD models, and the mechanism might be related to its regulation of ferritinophagy and subsequent alleviation of iron overload. Moreover, overexpression of nuclear receptor coactivator 4 (NCOA4) weakened the effect of curcumol on ferritinophagy-mediated iron overload and cellular senescence. Furthermore, we demonstrated that curcumol reduced the expression of NCOA4 by Yes-associated protein (YAP). In addition, depression of YAP could impair the effect of curcumol on iron overload and cellular senescence. CONCLUSION: Our results clarified the mechanism of curcumol inhibition of hepatocyte senescence through YAP/NCOA4 regulation of ferritinophagy in NAFLD. These findings provided a promising option of curcumol to regulate cellular senescence by target YAP/NCOA4 for the treatment of NAFLD.

Deep learning in diabetic foot ulcers detection: A comprehensive evaluation.

There has been a substantial amount of research involving computer methods and technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack of systematic comparisons of state-of-the-art deep learning object detection frameworks applied to this problem. DFUC2020 provided participants with a comprehensive dataset consisting of 2,000 images for training and 2,000 images for testing. This paper summarizes the results of DFUC2020 by comparing the deep learning-based algorithms proposed by the winning teams: Faster R-CNN, three variants of Faster R-CNN and an ensemble method; YOLOv3; YOLOv5; EfficientDet; and a new Cascade Attention Network. For each deep learning method, we provide a detailed description of model architecture, parameter settings for training and additional stages including pre-processing, data augmentation and post-processing. We provide a comprehensive evaluation for each method. All the methods required a data augmentation stage to increase the number of images available for training and a post-processing stage to remove false positives. The best performance was obtained from Deformable Convolution, a variant of Faster R-CNN, with a mean average precision (mAP) of 0.6940 and an F1-Score of 0.7434. Finally, we demonstrate that the ensemble method based on different deep learning methods can enhance the F1-Score but not the mAP.

LncRNA MAYA promotes iron overload and hepatocyte senescence through inhibition of YAP in non-alcoholic fatty liver disease.

Although recent evidence has shown that hepatocyte senescence plays a crucial role in the pathogenesis and development of non-alcoholic fatty liver disease (NAFLD), the mechanism is still not clear. The purpose of this study was to investigate the signal transduction pathways involved in the senescence of hepatocyte, in order to provide a potential strategy for blocking the process of NAFLD. The results confirmed that hepatocyte senescence occurred in HFD-fed Golden hamsters and PA-treated LO2 cells as manifested by increased levels of senescence marker SA-ß-gal, p16 and p21, heterochromatin marker H3K9me3, DNA damage marker γ-H2AX and decreased activity of telomerase. Further studies demonstrated that iron overload could promote the senescence of hepatocyte, whereas the overexpression of Yes-associated protein (YAP) could blunt iron overload and alleviate the senescence of hepatocyte. Of importance, depression of lncRNA MAYA (MAYA) reduced iron overload and cellular senescence via promotion of YAP in PA-treated hepatocytes. These effects were further supported by in vivo experiments. In conclusion, these data suggested that inhibition of MAYA could up-regulate YAP, which might repress hepatocyte senescence through modulating iron overload. In addition, these findings provided a promising option for heading off the development of NAFLD by abrogating hepatocyte senescence.

Salient type 1 interleukin 1 receptor expression in peripheral non-immune cells.

Interleukin 1 is a pleiotropic cytokine that mediates diverse functions through its receptor, type I interleukin 1 receptor (IL-1R1). Most previous studies have focused on the expression and function of IL-1R1 in immune cells. Here we performed a comprehensive mapping of IL-1R1 distribution in multiple peripheral tissues using our IL-1R1 reporter (IL-1R1GR/GR) mice. This method yielded the highest sensitivity of in situ detection of IL-1R1 mRNA and protein. Besides validating previously reported IL-1R1 expression in the endocrine tissues including pituitary and pancreas, our results refuted previously reported exclusive IL-1R1 expression in neurons of the spinal cord dorsal horn and dorsal root ganglia (DRG). Instead, IL-1R1 expression was detected in endothelial cells within DRG, spinal cord, pancreas, colon, muscles and many immune organs. In addition, gp38+ fibroblastic reticular cells (FRCs), rather than tissue macrophages or other immune cells, were found to express high levels of IL-1R1 in colon and many immune organs. A functional test of spleen FRCs showed that they responded rapidly to systemic IL-1ß stimulation in vivo. Taken together, this study provides a rigorous re-examination of IL-1R1 expression in peripheral tissues and reveals tissue FRCs as a previously unappreciated novel high IL-1R1-expressing cell type in peripheral IL-1 signaling.

Brief Report: Human Mesenchymal Stem-Like Cells Facilitate Floating Tumorigenic Cell Growth via Glutamine-Ammonium Cycle.

How mesenchymal stem cells (MSCs) promote tumor growth remains incompletely understood. Here, we show that mesenchymal stem-like cells (MSLCs) are commonly present in malignant pleural effusion or ascites of cancer patients, where they directly interact with tumor cells. Chemokines and chemokine receptors, especially the CCL2/CCR2 pathway, are involved in this interaction. As a result, MSLCs exert tumor-promoting effects by enhancing the proliferation and colony formation of tumor-repopulating cells. The underlying molecular basis involves MSLC release of glutamine to tumorigenic cells. Inhibition of glutamine uptake impedes MSC-mediated tumor-promoting effects. More intriguingly, MSLCs take up tumor cell-released ammonium that, in turn, favors MSLC growth. Thus, glutamine and ammonium form a vicious cycle between MSLCs and tumorigenic cells. These findings suggest a potential clinical application by targeting MSLCs in patients with malignant pleural effusions or ascites.

Isolation and characterization of lymphatic endothelial cells from human glossal lymphangioma.

Abnormal lymphangiogenesis is associated with several diseases such as tumor metastasis and lymphangioma. Human lymphangioma originated from the transformation of lymphatic endothelium is a benign malformation of lymphatic vessels and its pathogenesis has up to date not been illuminated and its cell model has also not been established. An optimized method was used to isolate lymphatic endothelial cells from human glossal lymphangioma (GL-LECs) and GL-LECs were further primarily cultured and expanded. GL-LECs were of typical cobblestone appearance when they reached confluence. The weible-palade body was observed in the GL-LECs cytoplasm. Almost all GL-LECs were strongly positive for specific lymphatic markers FLT-4, LYVE-1 and prox-1 by immunocytochemistry. Furthermore, three-dimension tube-like capillaries of GL-LECs resembled the lymphatic system in vivo, and the GL-LECs spheroids sprouted radically out to form three-dimensional buds when embedded in the cultured BME. These results indicated that high purity GL-LECs were successfully isolated and expanded. They had the abilities of tube formation and differentiation in vitro, which provide a favorable cell model for further uncovering the pathogenesis of human lymphangiomas.

Overexpression of vimentin contributes to prostate cancer invasion and metastasis via src regulation.

A significant proportion of prostate cancer patients treated with curative intent develop advanced disease. At a fundamental biological level, very little is known about what makes the disease aggressive and metastatic. Observational pathology reports and experimental data suggest that an epithelial-mesenchymal transition (EMT) is involved in prostate cancer invasiveness. The mechanism by which vimentin promotes prostate cancer cell invasion and metastasis was examined. The highly metastatic human prostate epithelial cell line PC-3M-1E8 (1E8-H) and the low metastatic line PC-3M-2B4 (2B4-L) were used for comparative proteomic analysis by two-dimensional gel electrophoresis, followed by matrix-assisted laser desorption/time of flight mass spectrometry (MALDI-TOF-MS). A transwell assay was performed to test cell migration and invasion and immunoblotting was used to analyze the relative expression of proteins. High vimentin expression was detected in 1E8-H compared to 2B4-L cells. Down-regulation of vimentin in 1E8-H by antisense-vimentin transfection led to a significant inhibition of invasiveness, and selective stimulation of vimentin activity in 2B4-L by delivery of recombinant vimentin promoted cell invasiveness. Vimentin activity was associated with C-src, beta-catenin and E-cadherin expression. PP2, a specific inhibitor of src family kinases, reduced phospho-beta-catenin expression and induce E-cadherin expression. Vimentin promotes tumor cell invasiveness and the targeting of vimentin/C-src may be a promising strategy for preventing or blocking prostate cancer metastasis.

Ezrin silencing by small hairpin RNA reverses metastatic behaviors of human breast cancer cells.

Ezrin primarily acts as a linker between the plasma membrane and the cytoskeleton and is a key component in tumor metastasis. In the present study, RNA interference (RNAi) using ezrin small hairpin RNAs (ezrin shRNAs) was used to define the roles of ezrin in the regulation of malignant behaviors of human breast cancer. The highly metastatic human breast cancer cell MDA-MB-231, in which ezrin mRNA and protein levels are the highest, was selected as a cell model in vitro. In addition, we also found that ezrin expression was up-regulated and its immuno-staining trans-located from cell membrane to cytoplasm, whereas E-cadherin expression decreased and showed the same cell distribution as ezrin in lymphatic metastases of human breast carcinomas. After repression of ezrin by more than 85% of G3PDH and 75% of beta-actin in mRNA and protein levels was maintained in the stable expressing ezrin shRNAs MDA-MB-231 cell clones, the abilities of cell motility and invasiveness were obviously inhibited with a 4-fold and 2-fold, respectively, and the altered cell polarity was observed. Western blot analyses further revealed that the silencing of ezrin induced an increased E-cadherin expression and a decreased phosphorylation of beta-catenin by inhibiting phosphorylation levels of c-src. These data indicate that ezrin overexpression positively correlated with metastatic potentials of human breast cancer cells, especially lymphatic system metastasis. Decreased ezrin expression by shRNA reversed metastatic behaviors of human breast cancer cells by inducing c-src-mediated E-cadherin expression, suggesting that ezrin may have potential values in assessing lymphatic metastasis of human breast cancers.

Screening of differently expressed genes in human prostate cancer cell lines with different metastasis potentials.

In order to screen the genes differentially expressed in two human prostate cancer cells with different metastasis potentials, suppression subtractive hybridization (SSH) was done twice on human prostate cancer cell line with high potential of metastasis PC3M-1E8 and its synogenetic cell line PC3M-2B4 with low metastasis potential. In the first subtraction PC3M-2B4 was used as tester and PC3M-1E8 as driver and the forward subtractive library was constructed. In the second on the tester and driver were interchanged and the reverse subtractive library was constructed. The screened clones of both libraries were sequenced and Gene Bank homology search was performed. Some clones were confirmed by quantitative real-time PCR. The results showed that two subtractive libraries containing 238 positive clones were constructed. Analysis of 16 sequenced clones randomly picked from two libraries showed that 4 differentially expressed gene fragments were identified as new EST with unknown functions. It was concluded that two subtractive libraries of human prostate cancer cell lines with different metastasis potentials were constructed successfully.

Proteome analysis of human androgen-independent prostate cancer cell lines: variable metastatic potentials correlated with vimentin expression.

To better understand the molecular mechanisms of prostate cancer (PCA) dissemination and to develop new anti-metastasis therapies, key regulatory molecules involved in PCA metastasis were identified in two human androgen-independent PCA cell lines, highly metastatic 1E8-H and lowly metastatic 2B4-L cells. Through 2-DE and MS analyses, 12 proteins with different expression levels in the two cell lines were identified. The following proteins were found to be significantly up-regulated in 1E8-H cells compared with 2B4-L cells: gp96 precursor, calreticulin precursor, vimentin (VIM), Hsp90alpha, peroxiredoxin 2, HNRPH1, ezrin, T-complex protein 1, alpha subunit, and hypothetical protein mln2339. In contrast, heart L-lactate dehydrogenase H chain, annexin I, and protein disulfide isomerase were notably down-regulated in 1E8-H cells compared with 2B4-L cells. To our knowledge, this study is the first to demonstrate that up-regulation of VIM expression positively correlates with the invasion and metastasis of androgen-independent PCA.

[Expression of Ezrin and E-cadherin in invasive ductal breast cancer and their correlations to lymphatic metastasis].

BACKGROUND & OBJECTIVE: Ezrin, a cytoskeleton linker protein, is actively involved in regulating the growth and metastasis of cancer cells. This study was performed to detect the expression of Ezrin and E-cadherin in primary invasive ductal breast cancer in order to evaluate their possible roles in lymphatic metastasis. METHODS: The expression of Ezrin and E-cadherin in 60 specimens of primary invasive ductal breast cancer (23 with metastasis, 37 without metastasis) was detected by SP immunohistochemistry. RESULTS: The abnormal expression rates of Ezrin and E-cadherin were significantly higher in the cases with metastasis than in the cases without metastasis (73.91% vs. 51.35%, P=0.039; 65.22% vs. 40.54%, P<0.001). The abnormal expression of Ezrin was positively correlated to that of E-cadherin (r=0.898, P=0.038). CONCLUSION: Ezrin and E-cadherin are closely related to invasion and metastasis of ductal breast cancer, suggesting that they are important tumor markers in predicting lymphatic metastasis of invasive ductal breast cancer.

Down-regulation of MT1-MMP expression suppresses tumor cell invasion in metastatic human SW626 ovarian cancer cells.

Membrane-type 1 matrix metalloproteinase (MT1-MMP/MMP-14) is a key enzyme involved in degradation of extracellular matrix (ECM) and various surface-associated proteins that control cell growth, differentiation and survival, plays crucial roles in molecular carcinogenesis, tumor cell growth, invasion, and angiogenesis. We tested the inhibitory effect of antisense MT1-MMP on the ability of metastatic human ovarian carcinoma cell line SW626 in proliferation and invasion. RT-PCR was used to amplify MT1-MMP cDNA fragments with two different restriction sites at its 5'-end. Antisense MT1-MMP cloned in eukaryotic expression vector pMMP14as was transfected into SW626 cells. MT1-MMP protein expression, activities of MMP-2 and MMP-9, changes of cell proliferation, and cell invasion ability were detected by Western blot, optimized gelatin zymography, MTT assay and matrigel in vitro invasion assay, respectively. After 48 h transfection, decreased expression of endogenous MT1-MMP protein was detected in pMMP14as-transfected SW626 cells and showed significantly lower proliferation level when compared with control cells. The activation of proMMP-2 was inhibited markedly, and the mean percentage of invasive cells was 63.30+/-5.80% in pMMP14as-transfected cells, which was less than that (97.60+/-7.50%) in control cells (P<0.05). Both cell proliferation and invasion in SW626 cells were inhibited effectively by antisense MT1-MMP transfection, suggesting that MT1-MMP may be a proper target molecule for anti-invasion therapy for human ovarian cancers.

[Study on the complete conditions for exact reconstruction in volume CT].

Computed Tomography(CT) is one of the successful methods, in which mathematical theories are combined with engineering technology. Volume CT will replace the cross-sectional CT that has been widely used. In this paper two new cone vertex orbits, which are circle-and-arc and regular triangular pyramid lines, have been proposed and their complete conditions for exact reconstruction have been obtained. After having studied circle-and-n-line cone vertex orbit which is one of the important orbits in volume CT, we have given a better proof about the complete condition in circle-and-line and circle-and-2-line cone vertex orbit and have obtained some proper conclusions. Finally, we extend the above results to circle-and-n-line vertex orbit. These results will be useful for the design of direct volume imaging.