Efficacy and Safety of Jiedu Tongluo Therapy for Diabetic Kidney Disease Treatment: A Systematic Review and Meta-Analysis.

No comprehensive meta-analysis has evaluated the efficacy and safety of the protective effect of Jiedu Tongluo Therapy on the kidney of DKD until now. This meta-analysis covers this gap in knowledge. We have conducted an extensive search of databases, including CNKI, Wanfang, PubMed, and Web of Science.

Patients with Extensive-Stage Small Cell Lung Cancer Harboring Less Than 4 Metastatic Sites May Benefit from Immune Checkpoint Inhibitor Rechallenge by Reshaping Tumor Microenvironment.

Background: Immune checkpoint inhibitors (ICIs) has prolonged survival in patients with extensive-stage small cell lung cancer (ES-SCLC) as first-line treatment. However, whether ICI rechallenge could bring survival benefit to patients with ES-SCLC following its failure as first-line treatment remains unknown. Therefore, we aim to address the issue and identify the cohort of patients that may derive such benefit.

Decorin impeded the advancement of thyroid papillary carcinoma by thwarting the EGFR/ FER/ SHP2 signaling-induced sustenance of early endosomes.

Objective: This study explores the inhibition of papillary thyroid carcinoma proliferation by Decorin via the EGFR/SHP2/FER pathway.

Method: ology: Thirty-two pairs of papillary thyroid carcinoma tissues and adjacent normal tissues were collected for immunohistochemical analysis. Thyroid cancer cell lines with overexpressed or silenced Decorin were employed in subcutaneous tumor formation experiments in nude mice.

Tumor mutational burden adjusted by neutrophil-to-lymphocyte ratio serves as a potential biomarker for atezolizumab-treated patients with extensive stage small cell lung cancer.

Background: There is a desperate for the identification of more accurate and efficient biomarkers for ICI responses in patients with SCLC.

Methods: The data of our study was obtained from IMpower133 study. A total of 202 patients with SCLC received the treatment of placebo plus carboplatin plus etoposide (EC) while a total of 201 patients with SCLC received the treatment of atezolizumab plus EC.

The Antihypertensive Effects and Mechanisms of Huotan Jiedu Tongluo Decoction in Rats with H-Type Hypertension.

H-type hypertension, which is a specific form of hypertension characterized by elevated plasma homocysteine (Hcy) levels, has become a major public health challenge worldwide. This study investigated the hypotensive effects and underlying mechanisms of Huotan Jiedu Tongluo decoction (HTJDTLD), a highly effective traditional Chinese medicine formula commonly used to treat vascular stenosis. Methionine was used to induce H-type hypertension in rats, and HTJDTLD was administered intragastrically.

CircSEMA6A upregulates PRRG4 by targeting MiR-520h and recruiting ELAVL1 to affect cell invasion and migration in papillary thyroid carcinoma.

Objective: As the most prevalent type of thyroid malignancy, papillary thyroid carcinoma (PTC) accounts for over 80% of all thyroid cancers. Circular RNAs (circRNAs) have been found to regulate multiple cancers, including PTC.

Materials And Methods: Quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting were used to analyse RNA and protein levels.

[Analysis of Delphain lymph node detection rate, metastasis rate and risk factors for metastasis in papillary thyroid adenocarcinoma patients].

To investigate the detection rate and metastasis rate of delphain lymph node （DLN）in thyroid papillary adenocarcinoma（PTC） and to analyze the risk factors for DLN metastasis. The clinicopathological data of 200 PTC patients admitted to the from January 2018 to June 2020 were retrospectively analyzed, and the detection of DLN was clearly recorded in the pathological reports of all patients. The number of DLN detected, the number of metastasis, the detection rate and the metastasis rate were counted.

Efficacy of immune checkpoint inhibitors in non-small cell lung cancer with NTRK family mutations.

Background: The efficacy of immune checkpoint inhibitors (ICIs) in non-small cell lung cancer (NSCLC) patients harboring neurotrophin receptor kinase (NTRK) family mutations remains obscure.

Methods: The Zehir cohort from cBioPortal was used to analyze the mutations (MT) frequency of NTRK family in patients with NSCLC, and their correlation with clinical characteristics and patient survival. The influence of NTRK MT on ICIs efficacy was evaluated in ICIs-treated patients from Samstein cohort and further validated by use of data from OAK/POPLAR cohort.

Construction of a Diagnostic Model for Small Cell Lung Cancer Combining Metabolomics and Integrated Machine Learning.

Background: To date, no study has systematically explored the potential role of serum metabolites and lipids in the diagnosis of small cell lung cancer (SCLC). Therefore, we aimed to conduct a case-cohort study that included 191 cases of SCLC, 91 patients with lung adenocarcinoma, 82 patients with squamous cell carcinoma, and 97 healthy controls.

Methods: Metabolomics and lipidomics were applied to analyze different metabolites and lipids in the serum of these patients.

Constitutions in Traditional Chinese Medicine and Factors Influencing Them in Jilin Province of China.

Context: The identification of a patient's constitution in Traditional Chinese Medicine (TCM) allows physicians to understand his or her risk for different diseases, forecast the mechanism of disease development, and direct treatment strategies, such as herbs and/or acupuncture. However, very few large-scale clinical trials have occurred on the relationships of the TCM constitution to lifestyles and diseases.

Objective: The study intended investigate the complex and systematic relationship between the TCM constitution and lifestyles to provide solutions for adjusting unbalanced constitutions and maintaining a balanced constitution and health state among people of various lifestyles in Jilin, China.

A Case of Maternal Uniparental Disomy of Chromosome 6 with Intrauterine Growth Restriction.

Background: Uniparental disomy (UPD) is a well-known epigenomic anomaly characterized by the inheritance of both copies of a homologous pair of chromosomes (or part thereof) from the same parent. This genetic condition can have significant implications for prenatal diagnosis and management.

Case Presentation: We present a case of a 29-year-old gravida 1 para 0 female who underwent amniocentesis at pregnancy Week 19 due to a high possibility of trisomy chromosome 6, as indicated by noninvasive prenatal testing (NIPT).

A three-snoRNA signature: SNORD15A, SNORD35B and SNORD60 as novel biomarker for renal cell carcinoma.

Background: Accumulating evidence has confirmed the role of snoRNAs in a variety of cancer, but rare in renal cell carcinoma (RCC). This study aims to clarify the role of snoRNAs in RCC tumorigenesis and their potential as novel tumor biomarkers.

Materials And Methods: The snoRNA expression matrix was obtained from the public TCGA and SNORic databases.

Anti-β-glycoprotein I antibody maybe a novel biomarker of spontaneous preterm birth.

Background: Spontaneous preterm birth is challenging to prevent. Only few predictors of spontaneous preterm birth risk have been reported, and further studies on spontaneous preterm birth should be conducted to reduce the number of cases.

Purpose: The aim of the present study was to explore if anti-β-glycoprotein I antibody can be used to predict the risk of spontaneous preterm birth, and its clinical value in assessing the risk of spontaneous preterm birth.

Untargeted metabolomics and lipidomics identified four subtypes of small cell lung cancer.

Introduction: Small cell lung cancer (SCLC) is a heterogeneous malignancy with dismal prognosis. However, few studies have conducted on the metabolic heterogeneity in SCLC.

Objective: We therefore identify SCLC classifications using untargeted metabolomics and lipidomics.

ANK2 as a novel predictive biomarker for immune checkpoint inhibitors and its correlation with antitumor immunity in lung adenocarcinoma.

Background: Immune checkpoint inhibitors (ICIs) have been shown to significantly improve the survival of patients with advanced lung adenocarcinoma (LUAD). However, only limited proportion of patients could benefit from ICIs. Novel biomarkers with strong predictability are needed for clinicians to maximize the efficacy of ICIs.

The causal relationship between white blood cell counts and hepatocellular carcinoma: a Mendelian randomization study.

Background: Most of hepatocellular carcinoma (HCC) arises on the background of chronic inflammation. The presence of infiltrating inflammatory cells is associated with tumour initiation, progression and clinical response to treatment. The influence of white blood cell (WBC) subtype counts on HCC progression remains unclear.

Fibroblast growth factor receptor family mutations as a predictive biomarker for immune checkpoint inhibitors and its correlation with tumor immune microenvironment in melanoma.

Background: The emergence of immune checkpoint inhibitors (ICIs) has significantly improved the clinical outcomes of patients with metastatic melanoma. However, survival benefits are only observed in a subset of patients. The fibroblast growth factor receptor (FGFR) family genes are frequently mutated in melanoma, yet their impacts on the efficacy of ICIs remain unclear.

Intratumor heterogeneity is associated with less CD8 T cell infiltration and worse survival in patients with small cell lung cancer.

Purpose: Small cell lung cancer (SCLC) is a heterogeneous malignancy with genetic and phenotypic disparity. However, the association between intratumor heterogeneity (ITH) and immunological features as well as the impact of ITH on prognosis has never been explored in SCLC. Hence, we investigated the relationship between ITH and their immunological features and explored the effect of ITH on overall survival (OS) in patients with SCLC.

Neutrophil-related genes predict prognosis and response to immune checkpoint inhibitors in bladder cancer.

Neutrophils play a key role in the occurrence and development of cancer. However, the relationship between neutrophils and cancer prognosis remains unclear due to their great plasticity and diversity. To explore the effects of neutrophils on the clinical outcome of bladder cancer, we acquired and analyzed gene expression data and clinical information of bladder cancer patients from IMvigor210 cohort and The Cancer Genome Atlas dataset (TCGA) database.

Liver metastases and the efficacy of immune checkpoint inhibitors in advanced lung cancer: A systematic review and meta-analysis.

Background: Liver metastasis is the most common type of lung cancer metastasis, and is a significant prognostic factor in lung cancer. However, the effect of liver metastases on the efficacy of immune checkpoint inhibitors (ICIs) remains inconsistent and controversial. The aim of this study was to explore the relationship between liver metastases and ICI efficacy in patients with advanced lung cancer based on data from randomized controlled trials (RCTs) and observational studies.

PTPRD/PTPRT mutation as a predictive biomarker of immune checkpoint inhibitors across multiple cancer types.

Background: Immune checkpoint inhibitors (ICIs) are dramatically changing the treatment landscape of a variety of cancers. Nevertheless, the variability in ICI responses highlight the importance in identifying predictive biomarkers. PTPRD and PTPRT (PTPRD/PTPRT) are the phosphatases of JAK-STAT signaling, a critical pathway in anti-cancer immunity regulation.

Molecular subtyping of small-cell lung cancer based on mutational signatures with different genomic features and therapeutic strategies.

Small-cell lung cancer (SCLC) is an exceptionally lethal malignancy characterized by extremely high alteration rates and tumor heterogeneity, which limits therapeutic options. In contrast to non-small-cell lung cancer that develops rapidly with precision oncology, SCLC still remains outside the realm of precision medicine. No recurrent and actionable mutations have been detected.

An Intelligent Health Monitoring Model Based on Fuzzy Deep Neural Network.

An intelligent health detection model is a new technology developed under an artificial intelligence environment, which is of great significance to the care of the elderly and other people who cannot take care of themselves. This paper comprehensively reviews the structural health monitoring method based on an intelligent algorithm, introduces the application model of neural networks in structural health monitoring in detail, and points out the shortcomings of using neural network technology alone. On the basis of previous work, the genetic algorithm and fuzzy theory were introduced as optimization tools, and a new neural network training algorithm was constructed by combining genetic algorithm, fuzzy theory, and neural network technology for structural health monitoring research.

Features of patients with advanced EGFR-mutated non-small cell lung cancer benefiting from immune checkpoint inhibitors.

Background: Although immune checkpoint inhibitors (ICIs) generally show poor therapeutic efficacy in patients with epidermal growth factor receptor (EGFR) mutations, certain research indicate that a small proportion of these patients do respond to ICIs. The present study sought to identify the features of patients with EGFR mutations who might benefit from ICIs from multiple studies and discussed the optimal treatment paradigm for advanced non-small cell lung cancer (NSCLC) patients with EGFR mutations.

Methods: The profiles of 114 advanced NSCLC patients with EGFR mutations who received ICIs treatment were retrospectively reviewed.