Evaluation of therapeutic mechanism of Hedyotis diffusa Willd (HDW)‒Scutellaria barbata (SB) in clear cell renal cell carcinoma via single-cell RNA sequencing and network pharmacology.

OBJECTIVE: The present study aimed to investigate the therapeutic mechanism of Hedyotis diffusa Willd (HDW) and Scutellaria barbata (SB) in ccRCC using a combination of single-cell RNA sequencing (scRNA-seq) and network pharmacology. METHODS: The active ingredients and potential molecular targets of HDW-SB were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform. Gene expression data (GSE53757) were obtained from the Gene Expression Omnibus database. The hub genes of HDW-SB against ccRCC were identified via the protein-protein interaction network, and further analyzed by molecular complex detection. The roles of these genes in the diagnosis and immune infiltration of ccRCC were analyzed. The clinical significance of hub genes was verified using scRNA-seq data (GSE121638) and molecular docking. RESULTS: Following the PPI network analysis, 29 hub genes of HDW-SB against ccRCC were identified. All hub genes, except for CENPE, had significantly different expressions in tumor tissue and a more accurate diagnosis of ccRCC. Fifteen cell clusters were defined based on the scRNA-seq dataset, and the clusters were annotated as six cell types using marker genes. TYMS and KIAA0101 from hub genes were highly expressed in NK cells. Three active compounds, quercetin, luteolin, and baicalein, were found to target TYMS and KIAA0101 from the compound-target interaction network. CONCLUSION: 29 hub genes of HDW-SB against ccRCC were identified and showed good performance in terms of diagnosis and prognosis. Moreover, among these hub genes docking with the main ingredients of HDW-SB, TYMS and KIAA0101 exerted anti-ccRCC effects through NK cells.

Lymph node metastasis-related gene signature shows good performance in predicting prognosis and immune infiltration in cervical cancer.

Aims: This study aimed to construct a lymph node metastasis-related gene signature to predict prognosis and immune infiltration in patients with cervical cancer. Methods: Clinical and RNA sequencing data of 193 patients with cervical cancer, which were divided into lymph node metastasis (N1) and non-lymph node metastasis (N0) groups, were acquired from TCGA. Differentially expressed genes (DEGs) between the N1 and N0 groups were detected, and protein-protein interaction combined with LASSO analysis was conducted to further screen lymph node metastasis-related genes. Univariate and multivariate Cox regression analyses were performed to establish a predictive signature. The genetic features, potential biological behavior, and immune infiltration characteristics of the predictive signature were explored. Furthermore, the sensitivity of patients to chemotherapy drugs was estimated based on the predictive signature and the expression of TEKT2 and RPGR was investigated in the cervical cancer tissue samples. Results: A total of 271 lymph node metastasis-related DEGs, including 100 upregulated and 171 downregulated genes, were identified. Two genes, TEKT2 and RPGR, were associated with lymph node metastasis and prognosis in cervical cancer, and were used to construct a lymph node metastasis-related predictive signature. Based on the predictive signature, patients with cervical cancer were divided into high- and low-risk groups. The high-risk group, characterized by a higher tumor mutation burden and somatic mutation rate, indicated a poor overall survival. The activation of immune infiltration and increased expression of checkpoint genes were observed in the high-risk group, indicating that they might benefit from immunotherapy. Cytarabine, FH535, and procaspase-activating compound-1 were estimated as reasonable chemotherapy options for patients in the high-risk group, whereas two taxanes and five tyrosine kinase inhibitors, including etoposide and vinorelbine, had therapeutic significance for patients in the low-risk group. The expression of TEKT2 and RPGR was significantly downregulated in cervical cancer tissues, especially in metastatic lymph node tissues. Discussion: The lymph node metastasis-related predictive signature based on TEKT2 and RPGR showed good performance in predicting the survival outcomes of patients with cervical cancer. The risk score of the predictive signature was related to genetic variation and immune infiltration, which could guide immunotherapy and chemotherapy strategies.

A deletion mutation within the goat AKAP13 gene is significantly associated with litter size.

A-kinase anchoring protein 13 (AKAP13) is one of the AKAP protein family members, which is correlated with estrogen receptors (ERs) and progesterone receptor (PR) activity. Consequently, the AKAP13 gene is considered to be one of the candidate genes for regulating female fertility. Hence, the objectives of this study were to discover the potential insertion/deletion (indel) variants within the AKAP13 gene and evaluate their associations with litter size of Shaanbei white cashmere goats (SBWC) to screen candidate genes for the molecular marker-assisted selection (MAS). Ultimately, we found the 16-bp deletion of AKAP13 gene which displayed three genotypes (II, ID and DD). However, it was not confirmed to Hardy-Weinberg equilibrium (HWE) in the tested population. Statistical analysis demonstrated that this 16-bp indel locus was significantly associated with litter size in goats (p < 0.05), in which the ID genotype was a key genotype for increasing litter size in goats. Besides, independent χ2 tests between different genotypes and litter size showed that high-prolific groups had higher frequency of the 'D' allele (p < 0.05). Briefly, AKAP13 gene is a candidate gene for improving fertility, and its 16-bp indel locus can be used as a valid DNA molecular marker for the MAS in goat breeding.

Goat CLSTN2 gene: tissue expression profile, genetic variation, and its associations with litter size.

Calsyntenin-2 (CLSTN2) is involved in cell proliferation, differentiation, cell death, tumorigenesis, and follicular expression. Although CLSTN2 has been identified as a potential candidate gene for sheep prolificacy, no studies have been done on its effect on goat prolificacy. The purpose of this study was to identify mRNA expression and genetic variation within goat CLSTN2, and its association with prolificacy. Herein, we uncovered significant differences in mRNA levels of the CLSTN2 gene in different tissues in female goats (p < 0.01), including ovary tissue. Nine putative indels were designed to investigate their correlation to litter size, but only one 16-bp deletion was discovered in female Shaanbei white cashmere goats (n = 902). We discovered that a 16-bp deletion within the CLSTN2 gene was significantly correlated with first-born litter size (p = 0.0001). As shown by the chi-squared test, the genotypic II of single-lambs and multi-lambs was dramatically higher than with genotype ID (p = 0.005). Our findings suggest that indel within the CLSTN2 gene is a candidate gene affecting prolificacy in goats and may be used for Marker Assisted Selection (MAS) in goats.

The significance of m6A RNA methylation modification in prognosis and tumor microenvironment immune infiltration of cervical cancer.

Recent studies have highlighted that N6-methyladenosine (m6A) plays a significant role in tumorigenicity and progression. However, the mechanism of m6A modifications in the tumor microenvironment (TME) immune cell infiltration in cervical cancer (CC) remains unclear. Clinical and RNA sequencing data of 25 m6A RNA methylation regulators were acquired from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. LASSO Cox regression analysis was used to generate a prognostic risk signature. m6A modification patterns were identified based on the expression of 25 m6A regulators, and their correlation with TME immune cell-infiltrating characterization was analyzed. Principal component analysis was used to construct an m6A-scoring signature (m6A score) to evaluate the m6A modification patterns of individual CC samples and guide the selection of more effective immunotherapeutic strategies. Genetic and expression alterations of 25 m6A regulators were highly heterogeneous between CC and normal tissues. METTL14 and IGF2BP1 were selected to conduct the prognostic risk signature. Three m6A modification patterns were identified in 659 CC samples, which were associated with distinct clinical outcomes and biological pathways. The TME immune cell-infiltrating characterization of the three m6A modification patterns was highly consistent with 3 tumor immune phenotypes, including immune-excluded, immune-inflamed, and immune-desert phenotypes. Due to the heterogeneity of m6A modification patterns, an m6A scoring signature was established to evaluate the m6A modification patterns of individual CC samples. Univariate and multivariate Cox regression analyses revealed that the m6A score is a robust and independent prognostic biomarker for assessing the prognosis of CC patients. A low m6A score, characterized by higher somatic mutation and higher expression of proliferation-related and DNA repair-related genes, indicated poor overall survival. Activation of immune infiltration was exhibited by the high m6A score, which was likely to have a good response and clinical benefits to antiPD-1/L1 immunotherapy. This study highlights the prognostic value of 25 m6A regulators in CC. The m6A modification is related to immune regulation and the formation of TME heterogeneity and complexity. An m6A scoring signature to clarify the individual m6A modification pattern could enhance our understanding of TME immune cell-infiltrating characterization and guide immunotherapy strategies.

[Analysis of phenotype and FH gene variation in a pedigree affected with hereditary leiomyomatosis and renal cell carcinoma syndrome].

OBJECTIVE: To analyze clinical phenotype and genetic variants in a Chinese pedigree of hereditary leiomyomatosis and renal cell carcinoma (HLRCC) syndrome. METHODS: Whole exome sequencing was carried out for the proband from the pedigree. Suspected FH gene variants were validated by Sanger sequencing. Clinical manifestation and histopathological examination were used to analyze the pedigree comprehensively. RESULTS: The pedigree met the clinical diagnostic criteria for HLRCC syndrome. The whole exome sequencing showed that the FH gene of the proband had a heterozygous missense variant of c.1490T>C (p.F497S), which was consistent with the Sanger sequencing. The mother, daughter and son of the proband all had the heterozygous missense variant of c.1490T>C (p.F497S). According to the American Society of Medical Genetics and Genomics Classification Standards and Guidelines for Genetic Variations, c.1490T>C (p.F497S) (PM2+PP1-M+PP3+PP4) was a possible pathogenic variant. Based on our literature search, this variant was a new variant that had not been reported. CONCLUSION: The FH gene missense variant of c.1490T>C (p.F497S) may be the cause of the HLRCC syndrome pedigree, which provides a basis for the genetic diagnosis and genetic counseling of the HLRCC syndrome.

Adjuvant therapy for locally advanced renal cell carcinoma: A meta-analysis and systematic review.

OBJECTIVES: Many adjuvant therapies have been widely used in an attempt to reduce the local recurrence or distant metastasis of locally advanced renal cell carcinoma (RCC) after surgical resection. However, the benefits of adjuvant therapy remain controversial. Thus, we performed this study to analyze the role and safety of adjuvant therapy in renal cancer setting. METHODS AND METHODS: We comprehensively searched PubMed, EMBASE, Web of Science, and the Cochrane Library for published randomized controlled trials comparing adjuvant therapy (chemotherapy, vaccine therapy, immune therapy, and targeted therapy) versus no active treatment after surgery among patients with locoregional RCC. Outcomes of interest were disease-free survival, overall survival, and severe toxicities. Different kinds of adjuvant therapy were evaluated separately. RESULTS: Twelve studies (5,936 patients) were included in the present analysis. Adjuvant therapy did not contribute to overall survival (HR = 1.04; 95% CI: 0.95-1.15; P = 0.395; I2 = 0%) or disease-free survival (HR = 1.00; 95% CI: 0.92-1.08; P = 0.971; I2 = 35%) when compared to placebo or observation. No survival benefit was observed according to subgroup analyses (targeted therapy, vaccine therapy, and immune therapy). Moreover, adjuvant therapy increased obviously the risk of toxicities. CONCLUSIONS: The addition of adjuvant therapy provided no survival benefit but increased the rates of adverse events for locally advanced RCC patients.