Synchronous Double Primary Tumors of Liver (Small Cell Neuroendocrine Carcinoma and Hepatocellular carcinoma): A Case Report.

This study presents a case of dual primary liver cancer involving small cell neuroendocrine carcinoma and hepatocellular carcinoma. The 58-year-old Chinese male patient, who has a medical history of viral hepatitis B, presented with right upper abdominal pain persisting for one month. Imaging studies indicated the presence of multiple liver masses in segments V and VII-VIII, as well as a mass in the left lung. Subsequent hepatic biopsy performed on both segments confirmed the presence of hepatocellular carcinoma in segment V and small cell neuroendocrine carcinoma in segment VII-VIII. After undergoing one cycle of chemotherapy, the lung mass exhibited a reduction in size, while the liver masses showed an inadequate response. Subsequently, the patient underwent Transcatheter Arterial Chemoembolization (TACE) and Hepatic Artery Infusion Chemotherapy (HIAC), resulting in partial remission (PR). However, the patient was diagnosed with brain metastasis and subsequently treated with Sorafenib and Tirelizumab, a Programmed Death 1 (PD-1) immune checkpoint inhibitor. The efficacy evaluation indicated stability, and no severe adverse effects were observed at the time of writing. The patient's survival time was 16 months.

USP7 promotes cervical cancer progression by stabilizing MTDH expression through deubiquitination.

BACKGROUND: Metadherin (MTDH) and ubiquitin specific protease 7 (USP7) have been identified to involve in the tumorigenesis of cervical cancer (CC). USP7 is one of the deubiquitinating enzymes. Here, this study aimed to explore whether USP7 affected CC progression via interacting with MTDH and regulating its stability via deubiquitination. METHODS: qRT-PCR and western blotting assays detected the levels of genes and proteins. Functional analysis was conducted using 5-ethynyl-2'-deoxyuridine (EdU), flow cytometry, transwell, and tube formation assays, respectively. Proteins between USP7 and MTDH were identified by co-immunoprecipitation assay. A mouse xenograft model was established for in vivo analysis. RESULTS: MTDH was highly expressed in CC tissues and cells, silencing of MTDH suppressed CC cell proliferation, migration, invasion, angiogenesis, and macrophage M2 polarization. Mechanistically, USP7 directly bound to MTDH, and maintained its stability by removing ubiquitination on MTDH. CC tissues and cells showed high USP7 expression, and USP7 knockdown also inhibited CC cell proliferation, migration, invasion, angiogenesis and macrophage M2 polarization, and these effects mediated by USP7 knockdown were reversed by MTDH overexpression. Moreover, USP7 knockdown impeded CC growth in vivo by regulating MTDH. CONCLUSION: Collectively, USP7 promoted CC cell proliferation, migration, invasion, angiogenesis, and macrophage M2 polarization in vitro, as well as tumor growth in vivo by regulating MTDH.

Heterochronous multiple primary prostate cancer and lymphoma: A case report.

BACKGROUND: Multiple primary malignant tumors (MPMTs) are rare type of cancer, especially when solid tumors are the first and lymphoma is the second primary malignancy. We report a patient with heterochronous MPMTs consisting of prostate cancer and rectal diffuse large B-cell lymphoma (DLBCL). CASE SUMMARY: We report a 77-year-old male patient diagnosed with prostate cancer who was treated with radiation therapy and one year of endocrine therapy with bicalutamide (50 mg per day) and an extended-release implant of goserelin (1/28 d). Seven years later, rectal DLBCL with lung metastases was found. CONCLUSION: Although rare, the possibility of prostate cancer combined with a double primary cancer of DLBCL can provide a deeper understanding.

I2/CF3CO2Ag-mediated iodolactonization of various allenoic acids to access versatile 6- to 9-membered ring vinylic iodolactones.

Medium-sized lactones are important structural units, but their synthesis remains a great challenge. Herein, we report I2/CF3CO2Ag-mediated iodolactonization of allenoic acids to synthesize various 6- to 9-membered ring vinylic iodolactones in 16-89% yield. This protocol not only develops a new cyclization strategy of allenoic acids, but also provides highly functionalized medium-sized lactones containing alkene and halogen groups.

Inflammatory cutaneous metastases originating from gastric cancer: A case report.

BACKGROUND: Cutaneous metastasis with gastric cancer (GC) origin is extremely rare and associated with poor prognosis. Nodular type is the most common type, while other forms are extremely rare. CASE SUMMARY: This study describes severe skin redness, swelling, pain, and fever in a 65-year-old man diagnosed with GC, whose left chest wall, left upper limb, and left back were mainly affected. Firstly, the patient was diagnosed with "lymphangitis" and treated to promote lymphatic return. However, the symptoms were constantly deteriorating, and skin thickening and scattered small nodules gradually appeared. Finally, the skin biopsy confirmed cutaneous metastases, and the patient died 7 d later. CONCLUSION: Our case highlights that cutaneous metastasis should be considered when skin lesions appear in patients with GC.

Causal association between lipid-lowering drugs and female reproductive endocrine diseases: a drug-targeted Mendelian randomization study.

Purpose: The relationship between dyslipidemia and female reproductive endocrine diseases has been increasingly studied. The use of lipid-lowering drugs in treating various related diseases, including coronary heart disease, may affect female reproductive endocrine diseases. Therefore, our study aims to investigate the effects of lipid-lowering drugs on female reproductive endocrine diseases and provide a basis for the appropriate selection of drugs. Methods: In this study, we focused on three drug targets of statins, namely HMG-CoA reductase (HMGCR) inhibitors, proprotein convertase kexin 9 (PCSK9) inhibitors, and Niemann-Pick C1-Like 1 (NPC1L1) inhibitors. To identify potential inhibitors for these targets, we collected single nucleotide polymorphisms (SNPs) associated with HMGCR, PCSK9, and NPC1L1 from published genome-wide association study statistics. Subsequently, we conducted a drug target Mendelian randomization (MR) analysis to investigate the effects of these inhibitors on reproductive endocrine diseases mediated by low-density lipoprotein cholesterol (LDL-C) levels. Alongside coronary heart disease as a positive control, our main outcomes of interest included the risk of polycystic ovary syndrome (PCOS), premature ovarian insufficiency (POI), premenstrual syndrome (PMS), abnormal uterine bleeding (including menorrhagia and oligomenorrhea), and infertility. Results: PCSK9 inhibitors significantly increased the risk of infertility in patients (OR [95%CI] = 1.14 [1.06, 1.23], p<0.05). In contrast, HMGCR inhibitors significantly reduced the risk of menorrhagia in female patients (OR [95%CI] = 0.85 [0.75, 0.97], p<0.05), but had no statistical impact on patients with oligomenorrhea. Conclusion: The findings suggest that PCSK9 inhibitors may significantly increase the risk of infertility in patients. On the other hand, HMGCR inhibitors could potentially offer protection against menorrhagia in women. However, no effects of lipid-lowering drugs have been observed on other reproductive endocrine disorders, such as PCOS, POF, PMS and oligomenorrhea.

MiR-214-3p suppresses cervical cancer cell metastasis by downregulating THBS2.

Cervical cancer (CC) is the most common human gynecological malignancy worldwide. Recently, accumulating evidences revealed the critical functions of miRNAs in the occurrence and development of cervical cancer. In our study, we aimed to demonstrate the function of miR-214-3p in regulating cell metastasis in cervical cancer. We showed low expression of miR-214-3p in cervical cancer cells and demonstrated downregulation of miR-214-3p promoted cervical cancer metastasis. Furthermore, THBS2 was identified as a novel target of miR-214-3p in cervical cancer cells. miR-214-3p suppressed THBS2 expression by directly targeting 3'UTR of THBS2, resulting in the inhibition of cell viability, invasion and migration. Taken together, the results implied inhibited effects of miR-214-3p on cervical cancer and provided new insight into potential ways for cervical cancer diagnosis and treatment.

Gefitinib, an effective treatment option for patients with pulmonary enteric adenocarcinoma harboring compound EGFR L858R and A871G mutation.

Pulmonary enteric adenocarcinoma (PEAC) is a rare lung adenocarcinoma with morphological and immunohistochemical similarities to colorectal adenocarcinoma and intestinal differentiation. PEAC belongs to the group of non-small-cell lung carcinoma (NSCLC) and is defined as having a more than 50% intestinal differentiation component. We report a postoperative (T4N2M0 stage IIIb) PEAC patient with EGFR L858R + A871G combined mutation. Following surgery, the patient underwent treatment with the first-generation EGFR-TKI, gefitinib, and achieved an impressive 5-year progression-free survival (PFS). This suggests that gefitinib may serve as an effective treatment option for PEAC patients with EGFR L858R + A871G compound mutations.

Identification of N1 methyladenosine-related biomarker predicting overall survival outcomes and experimental verification in ovarian cancer.

AIM: This study aimed to construct a N1-methyladenosine (m1A)-related biomarker model for predicting the prognosis of ovarian cancer (OVCA). METHODS: OVCA samples were clustered into two subtypes using the Non-Negative Matrix Factorization (NMF) algorithm, including TCGA (n = 374) as the training set and GSE26712 (n = 185) as the external validation set. Hub genes, which were screened to construct a risk model, and nomogram to predict the overall survival of OVCA were explored and validated through various bioinformatic analysis and quantitative real-time PCR. RESULTS: Following bootstrap correction, the C-index of nomogram was 0.62515, showing reliable performance. The functions of DEGs in the high- and low-risk groups were mainly enriched in immune response, immune regulation, and immune-related diseases. The immune cells relevant to the expression of hub genes were explored, for example, Natural Killer (NK) cells, T cells, activated dendritic cells (aDC). CONCLUSIONS: AADAC, CD38, CACNA1C, and ATP1A3 might be used as m1A-related biomarkers for OVCA, and the nomogram labeled with m1A for the first time had excellent performance for predicting overall survival in OVCA.

Epithelioid hemangioendothelioma of the retroperitoneal giant type treated with Toripalimab: A case report.

Epithelioid hemangioendotheliomas (EHEs), low-grade malignant tumors of vascular endothelial cell origin, are characterized by vascular endothelial proliferation. In 2002, the World Health Organization classified EHEs as locally aggressive tumors with the potential to metastasize. Currently, the diagnosis of EHE is based on pathology, histological and immunohistochemical examinations. There are no standard treatment guidelines. We here report a 69-year-old man who presented with left-sided chest and abdominal pain for more than 2 months. Enhanced computed tomography of the thorax and abdomen in another hospital suggested a mass in the left adrenal region that was considered malignant. Positron emission tomography- computed tomography in our hospital suggested a large multi-loculated, hypermetabolic, cystic mass in the left adrenal region that was considered malignant. Accordingly, a puncture biopsy of the mass was performed and the diagnosis of EHE confirmed by pathological examination, including immunohistochemical staining. This patient was treated with the programmed death 1 (PD-1) immune checkpoint inhibitor toripalimab with long-term success. The best response was stable disease (SD) with a progression-free survival (PFS) of more than 13 months. The patient is still alive now. Because the sample size of previous studies was small, further studies are needed to determine the safety and efficacy of toripalimab in the treatment of EHE.

Artificial intelligence-assisted diagnosis of ocular surface diseases.

With the rapid development of computer technology, the application of artificial intelligence (AI) in ophthalmology research has gained prominence in modern medicine. Artificial intelligence-related research in ophthalmology previously focused on the screening and diagnosis of fundus diseases, particularly diabetic retinopathy, age-related macular degeneration, and glaucoma. Since fundus images are relatively fixed, their standards are easy to unify. Artificial intelligence research related to ocular surface diseases has also increased. The main issue with research on ocular surface diseases is that the images involved are complex, with many modalities. Therefore, this review aims to summarize current artificial intelligence research and technologies used to diagnose ocular surface diseases such as pterygium, keratoconus, infectious keratitis, and dry eye to identify mature artificial intelligence models that are suitable for research of ocular surface diseases and potential algorithms that may be used in the future.

Development and validation of prognostic nomogram for patients with metastatic gastric adenocarcinoma based on the SEER database.

The aim of this study was to investigate the prognostic factors affecting overall survival in patients with metastatic gastric adenocarcinoma and to establish a nomogram prediction model for comprehensive clinical application. Data from 2370 patients with metastatic gastric adenocarcinoma between 2010 and 2017 were retrieved from the surveillance, epidemiology, and end results database. They were randomly divided into a training set (70%) and a validation set (30%), univariate and multivariate Cox proportional hazards regressions were used to screen important variables that may affect overall survival and to establish the nomogram. The nomogram model was evaluated using a receiver operating characteristic curve, calibration plot, and decision curve analysis. Internal validation was performed to test the accuracy and validity of the nomogram. Univariate and multivariate Cox regression analyses revealed that, age, primary site, grade, and American joint committee on cancer. T, bone metastasis, liver metastasis, lung metastasis, tumor Size, and chemotherapy were identified as independent prognostic factors for overall survival and were included in the prognostic model to construct a nomogram. The prognostic nomogram showed good overall survival risk stratification ability for the area under the curve, calibration plots, and decision curve analysis in both the training and validation sets. Kaplan-Meier curves further showed that patients in the low-risk group had better overall survival. This study synthesizes the clinical, pathological, therapeutic characteristics of patients with metastatic gastric adenocarcinoma, establishes a clinically effective prognostic model, and that can help clinicians to better evaluate the patient's condition and provide accurate treatment.

Corrigendum: The effect of gut microbiota dysbiosis on patients with preeclampsia.

[This corrects the article DOI: 10.3389/fcimb.2022.1022857.].

Predicting the risk of nodular thyroid disease in coal miners based on different machine learning models.

Background: Nodular thyroid disease is by far the most common thyroid disease and is closely associated with the development of thyroid cancer. Coal miners with chronic coal dust exposure are at higher risk of developing nodular thyroid disease. There are few studies that use machine learning models to predict the occurrence of nodular thyroid disease in coal miners. The aim of this study was to predict the high risk of nodular thyroid disease in coal miners based on five different Machine learning (ML) models. Methods: This is a retrospective clinical study in which 1,708 coal miners who were examined at the Huaihe Energy Occupational Disease Control Hospital in Anhui Province in April 2021 were selected and their clinical physical examination data, including general information, laboratory tests and imaging findings, were collected. A synthetic minority oversampling technique (SMOTE) was used for sample balancing, and the data set was randomly split into a training and Test dataset in a ratio of 8:2. Lasso regression and correlation heat map were used to screen the predictors of the models, and five ML models, including Extreme Gradient Augmentation (XGBoost), Logistic Classification (LR), Gaussian Parsimonious Bayesian Classification (GNB), Neural Network Classification (MLP), and Complementary Parsimonious Bayesian Classification (CNB) for their predictive efficacy, and the model with the highest AUC was selected as the optimal model for predicting the occurrence of nodular thyroid disease in coal miners. Result: Lasso regression analysis showed Age, H-DLC, HCT, MCH, PLT, and GGT as predictor variables for the ML models; in addition, heat maps showed no significant correlation between the six variables. In the prediction of nodular thyroid disease, the AUC results of the five ML models, XGBoost (0.892), LR (0.577), GNB (0.603), MLP (0.601), and CNB (0.543), with the XGBoost model having the largest AUC, the model can be applied in clinical practice. Conclusion: In this research, all five ML models were found to predict the risk of nodular thyroid disease in coal miners, with the XGBoost model having the best overall predictive performance. The model can assist clinicians in quickly and accurately predicting the occurrence of nodular thyroid disease in coal miners, and in adopting individualized clinical prevention and treatment strategies.

Association of coal mine dust lung disease with Nodular thyroid disease in coal miners: A retrospective observational study in China.

Background: Coal dust is a major risk factor for the occupational health of coal miners, and underground workers with coal mine dust lung disease (Coal miners with coal mine dust lung disease (CMDLD) may have a higher risk of developing Nodular thyroid disease (NTD). The aim of this study was to investigate the relationship between coal mine dust lung disease and the development of Nodular thyroid disease in coal miners. Methods: This was a clinical retrospective observational study that included 955 male coal miners from 31 different coal mining companies in Huainan, Anhui Province, China, who were examined in April 2021 at the Huainan Occupational Disease Prevention and Control Hospital to collect all their clinical physical examination data, including general conditions, laboratory test indices and imaging indices. Based on the presence or absence of Nodular thyroid disease, 429 cases with Nodular thyroid disease were classified as the diseased group and 526 cases without Nodular thyroid disease were classified as the control group. Logistic regression was used to analyse the correlation between the occurrence of Nodular thyroid disease in coal miners, and further single- and multi-factor logistic regression was used to screen the risk exposure factors for Nodular thyroid disease in coal miners. Results: Age, coal mine dust lung disease (CMDLD), red blood cells (RBC), mean red blood cell volume (MCV), albumin (ALB), albumin/globulin (A/G), indirect bilirubin (IBIL), globulin (GLOB), total bilirubin (TBil) and myeloperoxidase (MPO) were associated with the development of Nodular thyroid disease in coal miners (p < 0.05) The results of univariate and multifactorial logistic regression analysis showed that CMDLD (OR:4.5,95%CI:2.79-7.51) had the highest OR and CMDLD was the strongest independent risk exposure factor for the development of Nodular thyroid disease in coal miners. Conclusions: There is a strong correlation between coal mine dust lung disease and Nodular thyroid disease in underground coal miners, and clinicians need to be highly aware of the high risk of NTD in coal miners with CMDLD and adopt individualized clinical prevention strategies.

Assessment of the Driving Pollution Factors of Soil Environmental Quality Based on China's Risk Control Standard: Multiple Bigdata-Based Approaches with Intensive Sampling.

Identifying the driving factors of soil environmental quality is critical in raising countermeasures for managing the soil environment efficiently and precisely. In 2018, China issued risk control standards to divide soil environmental quality into three classes to meet the demands of environment management. However, there is a lack of knowledge of this new standard. An intensive field-sampling research (2598 top-soil samples were analyzed) was conducted in the agricultural land of Hubei province, central China, to find the driving factors of pollutants based on this new standard. According to the standard, the proportion of classes 1, 2, and 3 in the overall quality grade was 57.3%, 41.7%, and 1%, respectively. The standardized index showed that the pollution levels of cadmium, arsenic, lead, and chromium were higher than that of mercury. The first component of the principal component analysis explained 56.4% of the total variance, and the loading of cadmium, arsenic and lead were -53.5%, -52.1%, and -51.2%, respectively. The general linear modeling found that cadmium and arsenic showed positive and significant effects (p < 0.001) on the grading results of soil environmental quality. Based on the random forest algorithm, cadmium showed the greatest importance on soil environmental quality (increase in mean squared error = 32.5%). Overall, this study revealed that cadmium, arsenic, and lead were driving pollutants affecting soil environment quality grade. The large data size increased the reliability and robustness of the study's conclusions, and it provided reference methods for future studies investigating China's new standard for assessing soil environmental quality.

Cardiac metastasis from small cell lung cancer origin: A case report and review of the literature.

BACKGROUND: Cardiac metastasis from small cell lung cancer (SCLC) origin is rare, whereas the incidence is anticipated to increase with the extended survival rates. CASE: We here describe a case report of a 48-year-old male patient diagnosis with SCLC in 2020. In June 2021, he resorted to hospital due to shortness of breath, no obvious changes were found in repeated echocardiography, electrocardiogram and chest computer tomography from June 2021 to September 2021. Due to the persistence of the complaints, cardiac magnetic resonance (CMR) imaging was performed in September 30th, 2021, which showed a mass in the right atrioventricular groove. The patient underwent pericardiocentesis and small cell carcinoma cells were found in the pericardial effusion, confirming the diagnosis of cardiac metastasis. CONCLUSION: Patients with a history of SCLC who develop new cardiac symptoms of unknown etiology should undergo imaging studies such as CMR. The importance of CMR for patients with SCLC is highlighted. The literature regarding metastatic cardiac tumors is reviewed.

Treatment of gastric carcinoma with lymphoid stroma by immunotherapy: A case report.

BACKGROUND: Gastric cancer with lymphoid stroma (GCLS) is a rare type of gastric cancer characterized by abundant lymphocytic infiltration of the stroma. It is an Epstein-Barr virus-associated gastric cancer with a better prognosis than typical gastric cancer but with similar symptoms. GCLS diagnosis is based on pathological, histological and immunohistochemical examination and there are no standardized guidelines for treatment. CASE SUMMARY: This case report describes a 72-year-old man with a 6-mo history of abdominal pain. Endoscopy revealed ulcerative lesions in the stomach and gastric cancer was suspected. A preoperative endoscopic biopsy indicated undifferentiated carcinoma and postoperative pathological, histological and immunohistochemical analyses of the resected specimen confirmed a final diagnosis of GCLS. CONCLUSION: The patient showed high programmed cell death-ligand 1 expression and recovered well after immunotherapy.

Uptake and transport of antibiotic kasugamycin in castor bean (Ricinus communis L.) seedlings.

Kasugamycin (KSM), an aminoglycoside antibiotic, has been widely used for the management of plant diseases, especially for the control of rice blast in Asia. However, its uptake mechanism and transport in plants are still obscure. The castor bean (Ricinus communis L.) seeding, a model plant for phloem transport, was used to study the mechanism of uptake and transport of KSM. Results showed that cotyledon-applied KSM could transport into the phloem and distributed in root and shoot of plant. The temperature, concentration, and pH had significant effects on the uptake of KSM, indicating that the uptake of KSM was mediated by an active carrier system. Compared with the control, competitive inhibitors of sugar transporters D-glucose, D-chiro-inositol, and phloridzin inhibited 71.03%, 67.95%, and 61.73% uptake of KSM, respectively. Energy inhibitor dinitrophenol (DNP) and carbonyl cyanide chlorophenylhydrazone (CCCP) also affected the uptake of KSM, and the inhibition rates were 34.23% and 48.06%. All the results showed that the uptake of KSM was mediated by a sugar transporter, and it could transport from shoot to root in plants via the phloem. The study preliminary elucidated the plant-microbe interactions in the context of the transport of microbial secondary metabolites in plants. It has certain significance for scientific application of antibiotics and biological control of plant diseases and provides theoretical basis for the development of bidirectional transport pesticides.

Prediction Performance Comparison of Risk Management and Control Mode in Regional Sites Based on Decision Tree and Neural Network.

The traditional risk management and control mode (RMCM) in regional sites has the defects of low efficiency, high cost, and lack of systematism. Trying to resolve these defects and explore the application possibility of machine learning, a characteristic dataset for RMCM in regional sites was established. Three decision tree (DT) algorithms (CHAID, EXHAUSTIVE CHAID, and CART) and two artificial neural network (ANN) algorithms [back propagation (BP) and radial basis function (RBF)] were implemented to predict RMCM in regional sites. The results showed that in the aspects of accuracy (ACC), precision (PRE), recall ratio (REC), and F1 value, CART-DT was superior to CHAID-DT and EXHAUSTIVE CHAID-DT (E-CHAID-DT); and BP-ANN was superior to RBF-ANN. However, CART-DT was inferior to BP-ANN in ACC, PRE, REC, and F1 value. BP-ANN model is good at non-linear mapping, and it has a flexible network structure and a low risk of over-fitting. The case study of a typical county demonstration area confirmed the extensibility of the method, and the method has great potential in RMCM prediction in regional sites in the future.