Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study.

BACKGROUND: Post-radiation nasopharyngeal necrosis (PRNN) is a severe adverse event following re-radiotherapy for patients with locally recurrent nasopharyngeal carcinoma (LRNPC) and associated with decreased survival. Biological heterogeneity in recurrent tumors contributes to the different risks of PRNN. Radiomics can be used to mine high-throughput non-invasive image features to predict clinical outcomes and capture underlying biological functions. We aimed to develop a radiogenomic signature for the pre-treatment prediction of PRNN to guide re-radiotherapy in patients with LRNPC. METHODS: This multicenter study included 761 re-irradiated patients with LRNPC at four centers in NPC endemic area and divided them into training, internal validation, and external validation cohorts. We built a machine learning (random forest) radiomic signature based on the pre-treatment multiparametric magnetic resonance images for predicting PRNN following re-radiotherapy. We comprehensively assessed the performance of the radiomic signature. Transcriptomic sequencing and gene set enrichment analyses were conducted to identify the associated biological processes. RESULTS: The radiomic signature showed discrimination of 1-year PRNN in the training, internal validation, and external validation cohorts (area under the curve (AUC) 0.713-0.756). Stratified by a cutoff score of 0.735, patients with high-risk signature had higher incidences of PRNN than patients with low-risk signature (1-year PRNN rates 42.2-62.5% vs. 16.3-18.8%, P < 0.001). The signature significantly outperformed the clinical model (P < 0.05) and was generalizable across different centers, imaging parameters, and patient subgroups. The radiomic signature had prognostic value concerning its correlation with PRNN-related deaths (hazard ratio (HR) 3.07-6.75, P < 0.001) and all causes of deaths (HR 1.53-2.30, P < 0.01). Radiogenomics analyses revealed associations between the radiomic signature and signaling pathways involved in tissue fibrosis and vascularity. CONCLUSIONS: We present a radiomic signature for the individualized risk assessment of PRNN following re-radiotherapy, which may serve as a noninvasive radio-biomarker of radiation injury-associated processes and a useful clinical tool to personalize treatment recommendations for patients with LANPC.

Metformin Mitigates Sepsis-Induced Acute Lung Injury and Inflammation in Young Mice by Suppressing the S100A8/A9-NLRP3-IL-1ß Signaling Pathway.

Background: Globally, the subsequent complications that accompany sepsis result in remarkable morbidity and mortality rates. The lung is among the vulnerable organs that incur the sepsis-linked inflammatory storm and frequently culminates into ARDS/ALI. The metformin-prescribed anti-diabetic drug has been revealed with anti-inflammatory effects in sepsis, but the underlying mechanisms remain unclear. This study aimed to ascertain metformin's effects and functions in a young mouse model of sepsis-induced ALI. Methods: Mice were randomly divided into 4 groups: sham, sham+ Met, CLP, and CLP+ Met. CLP was established as the sepsis-induced ALI model accompanied by intraperitoneal metformin treatment. At day 7, the survival state of mice was noted, including survival rate, weight, and M-CASS. Lung histological pathology and injury scores were determined by hematoxylin-eosin staining. The pulmonary coefficient was used to evaluate pulmonary edema. Furthermore, IL-1ß, CCL3, CXCL11, S100A8, S100A9 and NLRP3 expression in tissues collected from lungs were determined by qPCR, IL-1ß, IL-18, TNF-α by ELISA, caspase-1, ASC, NLRP3, P65, p-P65, GSDMD-F, GSDMD-N, IL-1ß and S100A8/A9 by Western blot. Results: The data affirmed that metformin enhanced the survival rate, lessened lung tissue injury, and diminished the expression of inflammatory factors in young mice with sepsis induced by CLP. In contrast to sham mice, the CLP mice were affirmed to manifest ALI-linked pathologies following CLP-induced sepsis. The expressions of pro-inflammatory factors, for instance, IL-1ß, IL-18, TNF-α, CXCL11, S100A8, and S100A9 are markedly enhanced by CLP, while metformin abolished this adverse effect. Western blot analyses indicated that metformin inhibited the sepsis-induced activation of GSDMD and the upregulation of S100A8/A9, NLRP3, and ASC. Conclusion: Metformin could improve the survival rate, lessen lung tissue injury, and minimize the expression of inflammatory factors in young mice with sepsis induced by CLP. Metformin reduced sepsis-induced ALI via inhibiting the NF-κB signaling pathway and inhibiting pyroptosis by the S100A8/A9-NLRP3-IL-1ß pathway.

Differentiating pediatric cystic nephroma from common renal multicystic lesions: A case report.

Pediatric cystic nephroma is a rare, clinically benign, renal tumor. Pediatric renal cystic lesions are complex. Imaging findings and tumor appearance are often nonspecific, and careful pathological examination is necessary. We discuss diagnosis of pediatric cystic nephroma and how to differentiate it from multicystic dysplastic kidney and cystic partially differentiated nephroblastoma.

Simultaneous detection of influenza virus type B and influenza A virus subtypes H1N1, H3N2, and H5N1 using multiplex real-time RT-PCR.

Use of multiplex real-time reverse transcription polymerase chain reaction (RT-PCR) for the simultaneous detection of influenza type B virus and influenza A virus subtypes H5N1, H3N2, and H1N1 has been described. The method exhibited a high specificity and sensitivity of approximately 10(1)-10(2) copies per microliter or 10(-3)-10(-2) TCID50/L for each subtype, as well as a high reproducibility with coefficient of variation (CV) ranging from 0.27% to 4.20%. The assays can be performed commendably on various models of real-time PCR instruments; including ABI7500, ROCH 2.0, and Mx3005p. In an analysis of 436 clinical samples from patients during the year 2009, this detection method has successfully identified 261 positive samples, as compared to only 189 positive samples using the conventional cell culture systems, and at the same time further differentiated them as 35 type B, 21 subtype H1N1, and 205 subtype H3N2. The results indicate that the multiplex real-time RT-PCR method is a potential tool for rapid screening of influenza virus from a large pool of clinical samples during flu pandemics and facilitates early influenza virus identification in most public health laboratories around the world.

Identification and characterization of MYC transcription factors in Taxus sp.

Myelocytomatosis (MYC) transcription factors (TFs) are key regulators of the jasmonic acid (JA) signaling pathway. In cell cultures, methyl jasmonate (MeJA) can improve the production of taxol, which is a complex terpenoid compound with an intense antitumor activity. However, the functions of MYC genes in Taxus sp. (yew trees) remain poorly known. Based on Taxus sp. transcriptome changes induced by MeJA, a TcMYC gene was isolated in a previous study. Here, we further characterized the TcMYC TF encoded by that gene and four other yew MYC TFs previously obtained. Three yew MYC TFs had the typical basic helix-loop-helix (bHLH)-MYC_N region, but the other two MYC did not, although all five presented the bHLH domain. TcMYC was localized to the nuclei, and phylogenetic analysis indicated that the yew MYC TFs were closely related to Arabidopsis thaliana MYC1/2 and maize R protein. The yeast one-hybrid assay showed that TcMYC binds the G-box of the promoter of taxane 5α-hydroxylase. Transcript levels of TcMYC revealed that TcMYC was highly expressed in xylem and leaves, and up-regulated by drought and high-salinity stresses. Coronatine (COR) has recently been used as a new elicitor to improve the production of taxol in cell cultures; TcMYC was strongly expressed at 2 and 4 h after COR treatment, but decreased at 12 and 24 h. Overall, the results obtained here provide new insights into the potential regulatory roles of MYC TFs on taxol biosynthesis in yew trees.