Integrated profiling uncovers prognostic, immunological, and pharmacogenomic features of ferroptosis in triple-negative breast cancer.

Objective: Ferroptosis is an iron-dependent type of regulated cell death triggered by the toxic buildup of lipid peroxides on cell membranes. Nonetheless, the implication of ferroptosis in triple-negative breast cancer (TNBC), which is the most aggressive subtype of breast carcinoma, remains unexplored. Methods: Three TNBC cohorts-TCGA-TNBC, GSE58812, and METABRIC-were adopted. Consensus molecular subtyping on prognostic ferroptosis-related genes was implemented across TNBC. Ferroptosis classification-relevant genes were selected through weighted co-expression network analysis (WGCNA), and a ferroptosis-relevant scoring system was proposed through the LASSO approach. Prognostic and immunological traits, transcriptional and post-transcriptional modulation, therapeutic response, and prediction of potential small-molecule agents were conducted. Results: Three disparate ferroptosis patterns were identified across TNBC, with prognostic and immunological traits in each pattern. The ferroptosis-relevant scoring system was proposed, with poorer overall survival in high-risk patients. This risk score was strongly linked to transcriptional and post-transcriptional mechanisms. The high-risk group had a higher response to anti-PD-1 blockade or sunitinib, and the low-risk group had higher sensitivity to cisplatin. High relationships of risk score with immunological features were observed across pan-cancer. Two Cancer Therapeutics Response Portal (CTRP)-derived agents (SNX-2112 and brefeldin A) and PRISM-derived agents (MEK162, PD-0325901, PD-318088, Ro-4987655, and SAR131675) were predicted, which were intended for high-risk patients. Conclusion: Altogether, our findings unveil prognostic, immunological, and pharmacogenomic features of ferroptosis in TNBC, highlighting the potential clinical utility of ferroptosis in TNBC therapy.

Acinar Cell-Derived Extracellular Vesicle MiRNA-183-5p Aggravates Acute Pancreatitis by Promoting M1 Macrophage Polarization Through Downregulation of FoxO1.

Acute pancreatitis (AP) is a common cause of a clinically acute abdomen. Crosstalk between acinar cells and leukocytes (especially macrophages) plays an important role in the development of AP. However, the mechanism mediating the interaction between acinar cells and macrophages is still unclear. This study was performed to explore the role of acinar cell extracellular vesicles (EVs) in the crosstalk between acinar cells and macrophages involved in the pathogenesis of AP. EVs derived from caerulein-treated acinar cells induced macrophage infiltration and aggravated pancreatitis in an AP rat model. Further research showed that acinar cell-derived EV miR-183-5p led to M1 macrophage polarization by downregulating forkhead box protein O1 (FoxO1), and a dual-luciferase reporter assay confirmed that FoxO1 was directly inhibited by miR-183-5p. In addition, acinar cell-derived EV miR-183-5p reduced macrophage phagocytosis. Acinar cell-derived EV miR-183-5p promoted the pancreatic infiltration of M1 macrophages and increased local and systemic damage in vivo. Subsequently, miR-183-5p overexpression in macrophages induced acinar cell damage and trypsin activation, thus further exacerbating the disease. In clinical samples, elevated miR-183-5p levels were detected in serum EVs and positively correlated with the severity of AP. EV miR-183-5p might play an important role in the development of AP by facilitating M1 macrophage polarization, providing a new insight into the diagnosis and targeted management of pancreatitis. Graphical abstract of the present study. In our caerulein-induced AP model, miR-183-5p was upregulated in injured acinar cells and transported by EVs to macrophages. miR-183-5p could induce M1 macrophage polarization through downregulation of FoxO1 and the release of inflammatory cytokines, which could aggravate AP-related injuries. Therefore, a vicious cycle might exist between injured ACs and M1 macrophage polarization, which is fulfilled by EV-transported miR-183-5p, leading to sustainable and progressive AP-related injuries.

Comprehensive Analysis of Necroptosis in Pancreatic Cancer for Appealing its Implications in Prognosis, Immunotherapy, and Chemotherapy Responses.

Objective: Necroptosis represents a new target for cancer immunotherapy and is considered a form of cell death that overcomes apoptosis resistance and enhances tumor immunogenicity. Herein, we aimed to determine necroptosis subtypes and investigate the roles of necroptosis in pancreatic cancer therapy. Methods: Based on the expression of prognostic necroptosis genes in pancreatic cancer samples from TCGA and ICGC cohorts, a consensus clustering approach was implemented for robustly identifying necroptosis subtypes. Immunogenic features were evaluated according to immune cell infiltrations, immune checkpoints, HLA molecules, and cancer-immunity cycle. The sensitivity to chemotherapy agents was estimated using the pRRophetic package. A necroptosis-relevant risk model was developed with a multivariate Cox regression analysis. Results: Five necroptosis subtypes were determined for pancreatic cancer (C1∼C5) with diverse prognosis, immunogenic features, and chemosensitivity. In particular, C4 and C5 presented favorable prognosis and weakened immunogenicity; C2 had high immunogenicity; C1 had undesirable prognosis and high genetic mutations. C5 was the most sensitive to known chemotherapy agents (cisplatin, gemcitabine, docetaxel, and paclitaxel), while C4 displayed resistance to aforementioned agents. The necroptosis-relevant risk model could accurately predict prognosis, immunogenicity, and chemosensitivity. Conclusion: Our findings provided a conceptual framework for comprehending necroptosis in pancreatic cancer biology. Future work is required for evaluating its relevance in the design of combined therapeutic regimens and guiding the best choice for immuno- and chemotherapy.

Extracellular Vesicle/Macrophage Axis: Potential Targets for Inflammatory Disease Intervention.

Extracellular vesicles (EVs) can regulate the polarization of macrophages in a variety of inflammatory diseases by mediating intercellular signal transduction and affecting the occurrence and development of diseases. After macrophages are regulated by EVs, they mainly show two phenotypes: the proinflammatory M1 type and the anti-inflammatory M2 type. A large number of studies have shown that in diseases such as mastitis, inflammatory bowel disease, Acute lung injury, and idiopathic pulmonary fibrosis, EVs promote the progression of the disease by inducing the M1-like polarization of macrophages. In diseases such as liver injury, asthma, and myocardial infarction, EVs can induce M2-like polarization of macrophages, inhibit the inflammatory response, and reduce the severity of the disease, thus indicating new pathways for treating inflammatory diseases. The EV/macrophage axis has become a potential target for inflammatory disease pathogenesis and comprehensive treatment. This article reviews the structure and function of the EV/macrophage axis and summarizes its biological functions in inflammatory diseases to provide insights for the diagnosis and treatment of inflammatory diseases.

[Retracted] MicroRNA­466 inhibits the aggressive behaviors of hepatocellular carcinoma by directly targeting metadherin.

Following the publication of this paper, it was drawn to the Editors' attention by a concerned reader that certain of the flow cytometric data shown in Figs. 2C, 4C and 5C, and the cell invasion assay data shown in Figs. 2D and E, 4D and E and 5D and E were strikingly similar to data appearing in different form in other articles by different authors. In addition, the authors independently contacted the Editorial Office to request that this paper be retracted owing to the fact that they had not obtained approval from the Ethics Committee of The Second Affiliated Hospital of Harbin Medical University to use the tissue samples, even though they had written that this study was approved by the Ethics Committee, and written informed consent had been provided by all patients enrolled in the research. Owing to the fact that the contentious data in the above article had already been published elsewhere, or were already under consideration for publication, prior to its submission to Oncology Reports, and the authors' own admission of serious problems concerning the ethical nature of the study, the Editor has decided that this paper should be retracted from the Journal. The authors have agreed to the decision to retract the paper. The Editor apologizes to the readership for any inconvenience caused. [Oncology Reports 40: 3890­3898, 2018; DOI: 10.3892/or.2018.6763].

Characterization of Modification Patterns, Biological Function, Clinical Implication, and Immune Microenvironment Association of m6A Regulators in Pancreatic Cancer.

Objective: N6-methyladenosine (m6A) modification may modulate various biological processes. Nonetheless, clinical implications of m6A modification in pancreatic cancer are undefined. Herein, this study comprehensively characterized the m6A modification patterns in pancreatic cancer based on m6A regulators. Methods: Genetic mutation and expression pattern of 21 m6A regulators and their correlations were assessed in pancreatic cancer from TCGA dataset. m6A modification patterns were clustered using unsupervised clustering analysis in TCGA and ICGC datasets. Differences in survival, biological functions and immune cell infiltrations were assessed between modification patterns. A m6A scoring system was developed by principal component analysis. Genetic mutations and TIDE scores were compared between high and low m6A score groups. Results: ZC3H13 (11%), RBM15B (9%), YTHDF1 (8%), and YTHDC1 (6%) frequently occurred mutations among m6A regulators. Also, most of regulators were distinctly dysregulated in pancreatic cancer. There were tight crosslinks between regulators. Two m6A modification patterns were constructed, with distinct prognoses, immune cell infiltration and biological functions. Furthermore, we quantified m6A score in each sample. High m6A scores indicated undesirable clinical outcomes. There were more frequent mutations in high m6A score samples. Lower TIDE score was found in high m6A score group, with AUC = 0.61, indicating that m6A scores might be used for predicting the response to immunotherapy. Conclusion: Collectively, these data demonstrated that m6A modification participates pancreatic cancer progress and ornaments immune microenvironment, providing an insight into pancreatic cancer pathogenesis and facilitating precision medicine development.

Comprehensive Analysis of Ferroptosis-Related LncRNAs in Breast Cancer Patients Reveals Prognostic Value and Relationship With Tumor Immune Microenvironment.

Background: Breast cancer (BC) is a heterogeneous malignant tumor, leading to the second major cause of female mortality. This study aimed to establish an in-depth relationship between ferroptosis-related LncRNA (FRlncRNA) and the prognosis as well as immune microenvironment of the patients with BC. Methods: We downloaded and integrated the gene expression data and the clinical information of the patients with BC from The Cancer Genome Atlas (TCGA) database. The co-expression network analysis and univariate Cox regression analysis were performed to screen out the FRlncRNAs related to prognosis. A cluster analysis was adopted to explore the difference of immune microenvironment between the clusters. Furthermore, we determined the optimal survival-related FRLncRNAs for final signature by LASSO Cox regression analysis. Afterward, we constructed and validated the prediction models, which were further tested in different subgroups. Results: A total of 31 FRLncRNAs were filtrated as prognostic biomarkers. Two clusters were determined, and C1 showed better prognosis and higher infiltration level of immune cells, such as B cells naive, plasma cells, T cells CD8, and T cells CD4 memory activated. However, there were no significantly different clinical characters between the clusters. Gene Set Enrichment Analysis (GSEA) revealed that some metabolism-related pathways and immune-associated pathways were exposed. In addition, 12 FRLncRNAs were determined by LASSO analysis and used to construct a prognostic signature. In both the training and testing sets, patients in the high-risk group had a worse survival than the low-risk patients. The area under the curves (AUCs) of receiver operator characteristic (ROC) curves were about 0.700, showing positive prognostic capacity. More notably, through the comprehensive analysis of heatmap, we regarded LINC01871, LINC02384, LIPE-AS1, and HSD11B1-AS1 as protective LncRNAs, while LINC00393, AC121247.2, AC010655.2, LINC01419, PTPRD-AS1, AC099329.2, OTUD6B-AS1, and LINC02266 were classified as risk LncRNAs. At the same time, the patients in the low-risk groups were more likely to be assigned to C1 and had a higher immune score, which were consistent with a better prognosis. Conclusion: Our research indicated that the ferroptosis-related prognostic signature could be used as novel biomarkers for predicting the prognosis of BC. The differences in the immune microenvironment exhibited by BC patients with different risks and clusters suggested that there may be a complementary synergistic effect between ferroptosis and immunotherapy.

lncRNA FGD5­AS1 promotes breast cancer progression by regulating the hsa­miR­195­5p/NUAK2 axis.

Breast cancer is the second most prevalent cancer in women worldwide. Long non­coding RNAs (lncRNAs) have been identified as important regulators of tumorigenesis and tumor metastasis. lncRNA FGD5­AS1 has been previously reported as a carcinogenic gene, however its role in breast cancer has yet to be investigated. The present study aimed to understand the function of lncRNA FGD5­AS1 in breast cancer and examine the underlying molecular mechanisms. Sample tissues for downstream gene expression profiling were collected from patients with breast cancer (n=23). The effect of FGD5­AS1 overexpression on cell viability, invasion and migration has been studied in breast cancer cells (MDA­MB­231). Changes in glycolysis were monitored by comparing glucose consumption, lactate production and ATP levels. Using StarBase and TargetScan databases a putative interaction between FGD5­AS1, miR­195­5p and SNF1­like kinase 2 (NUAK2) was predicted in silico. Expression levels of FGD5­AS1, has­miR­195­5p and NUAK2 were validated by reverse transcription­quantitative PCR and interactions were validated using dual­luciferase reporter assays and RNA pull­down. High expression of lncRNA FGD5­AS1 was detected in breast cancer tissue samples and disease model cell lines. Silencing of FGD5­AS1 led to decreased cell proliferation, migration and invasion. It was identified that at a molecular level FGD5­AS1 serves as a sponge of miR­195­5p and alters the expression of its downstream target gene NUAK2. In breast cancer lncRNA FGD5­AS1 serve a key role in glycolysis and tumor progression via the miR­195­5p/NUAK2 axis. The findings of the present study indicated FGD5­AS1 as a candidate target for intervention in patients with breast cancer.

A Tumor Suppressor Gene-Based Prognostic Classifier Predicts Prognosis, Tumor Immune Infiltration, and Small Molecule Compounds in Breast Cancer.

Objective: Tumor suppressor genes (TSGs) play critical roles in the cell cycle checkpoints and in modulating genomic stability. Here, we aimed to develop a TSG-based prognostic classifier for breast cancer. Methods: Gene expression profiles and clinical information of breast cancer were curated from TCGA (discovery set) and Gene Expression Omnibus (GEO) repository (GSE12093 and GSE17705 datasets as testing sets). Univariate cox regression analysis and random forest machine learning method were presented for screening characteristic TSGs. After multivariate cox regression analyses, a TSG-based prognostic classifier was constructed. The predictive efficacy was verified by C-index and receiver operating characteristic (ROC) curves. Meanwhile, the predictive independency was assessed through uni- and multivariate cox regression analyses and stratified analyses. Tumor immune infiltration was estimated via ESTIMATE and CIBERSORT algorithms. Small molecule agents were predicted through CMap method. Molecular subtypes were clustered based on the top 100 TSGs with the most variance. Results: A prognostic classifier including nine TSGs was established. High-risk patients were predictive of undesirable prognosis. C-index and ROC curves demonstrated its excellent predictive performance in prognosis. Also, this prognostic classifier was independent of conventional clinicopathological parameters. Low-risk patients exhibited increased infiltration levels of immune cells like T cells CD8. Totally, 48 small molecule compounds were predicted to potentially treat breast cancer. Five TSG-based molecular subtypes were finally constructed, with distinct prognosis and clinicopathological features. Conclusion: Collectively, this study provided a TSG-based prognostic classifier with the potential to predict clinical outcomes and immune infiltration in breast cancer and identified potential small molecule agents against breast cancer.

MicroRNA­466 inhibits the aggressive behaviors of hepatocellular carcinoma by directly targeting metadherin.

Numerous microRNAs (miRNAs) have been demonstrated to be downregulated or upregulated in hepatocellular carcinoma (HCC) and play important roles in its occurrence and development. Therefore, the investigation of miRNAs and their functions implicated in the genesis and development of HCC may provide key clues for the identification of effective therapeutic approaches for patients with this disease. The aims of the present study were to detect miRNA­466 (miR­466) expression in HCC tissues and cell lines and to determine its effects on HCC cell proliferation, apoptosis and metastasis, as well as to explore the mechanisms underlying the tumor­suppressing roles of miR­466 in HCC. In the present study, reverse transcription­quantitative polymerase chain reaction (RT­qPCR) was performed to detect miR­466 expression in HCC tissues and cell lines. The effects of miR­466 upregulation on HCC cell proliferation, apoptosis, migration and invasion were determined using Cell Counting Kit­8 assay, flow cytometry analysis and Transwell chamber assay, respectively. The potential target gene of miR­466 was predicted using bioinformatic analysis, which was further confirmed by luciferase reporter assay, RT­qPCR and western blot analysis. It was found that miR­466 was obviously decreased in HCC tissues and cell lines. The results of functional experiments revealed that restoration of miR­466 expression suppressed the proliferation, induced apoptosis, and reduced the metastasis of HCC cells. In addition, metadherin (MTDH) was identified as a direct target of miR­466 in HCC cells. Furthermore, MTDH was upregulated in HCC tissues, which was inversely correlated with the miR­466 level. Moreover, inhibition of MTDH displayed similar tumor­suppressing roles as miR­466 upregulation in HCC cells. In addition, MTDH reintroduction restored the tumor­suppressor activity of miR­466 overexpression in HCC cells. These findings suggest that miR­466 is a potential therapeutic tool for HCC therapy.

[Molecular mechanism of effect of wenban humai granule on stability of atheromatous plaque].

OBJECTIVE: To explore the molecular mechanism of wenban humai granule (WHG) in stabilizing atheromatous plaque, by observing its effect on the collagen degradation and synthesis imbalance manner in the fibrous cap of the plaque. METHODS: Atherosclerosis (AS) rabbit model established by feeding high fat diet. The changes of protein and mRNA expression of macrophage CD68, metalloproteinase-1 (MMP-1), alpha-smooth muscle actin (alpha-SMA) and collagen I (C-I) in model rabbits' neo-genesic intima were determined by immunohistochemical stain and in situ hybridization methods before and after treatment as well as before and after modeling. RESULTS: After being fed with high fat diet for 7 weeks, the protein and mRNA expression of macrophage CD68, MMP-1 in neo-genesic intima of aorta in the model rabbits significantly increased, these changes could be significantly restored after 8 weeks treatment with WHG or simvastatin. At the same time, the expressions of alpha-SMA protein and C-I protein and mRNA slightly increased due to the immigration of SMC in aortic media to neo-genesic intima, these expressions could be further increased after WHG treatment but showed a reducing trend after simvastatin treatment (P < 0.05 and P < 0.01). In the whole course, positive correlation was shown between protein expressions of CD68 and MMP-1 (r = 0.952, P < 0.01) and also between these of alpha-SMA and C-I (r = 0.793, P < 0.01). CONCLUSION: WHG affects the collagen degradation and synthesis imbalance in the fibrous cap of the plaque to stabilize plaque through bi-directional regulation, up-regulating synthesis thesis factors and down-regulating degradation factors, while simvastatin perform its action on plaque stability by down-regulating degradation factors alone.