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Upstream analysis determined that the ERH gene may regulate TNF and NK-κB in the BC T24 cell lines. The ERH gene may be involved in the “cell death and survival” molecular network in BC T24 cells. ERH may be a regulator of KITLG through TNF. CONCLUSIONS The ERH gene may affect apoptosis through the TLR, NF-κB, TNF or TGF-beta signalling pathways in BC T24 cells, and may be a regulator of KITLG to ultimately activate the growth of malignant tumours. Seedless fruits are highly marketable because they are easier to eat than fruits with seeds. ‘Shijiwuhe’ is a seedless pear cultivar that is a mutant derived from an F1 hybridization population (‘Bartlett’ x ‘Yali’). Little is known about the key genes controlling seedless pear fruit. In this study, field experiments revealed that seedless ‘Shijiwuhe’ pear was not due to parthenocarpy, and that it was self-incompatible. Single nucleotide polymorphisms (SNPs), small insertions and deletions (InDels) and structural variations (SVs) were characterized using DNA sequencing data between ‘Shijiwuhe’ and parental cultivars. A total of 1498 genes were found to be affected by SV and over 50% of SVs were located in promoter regions. Transcriptome analysis was conducted at three time points (4, 8, and 12 days after cross-pollination) during early fruit development of ‘Shijiwuhe’, ‘Bartlett’, and ‘Yali’. In total, 1438 differentially expressed genes (DEGs) were found between ‘Shijiwuhe’ and parental cultivars ‘Bartlett’ and ‘Yali’. We found 1193 SVs that caused differential expression of genes at 4 DACP. Among them, over 100 genes were in pathways related to seed nutrition and energy storage and 41 candidate genes encoded several important transcription factors, such as MYB, WRKY, NAC, and bHLH, which might play important roles in seed development. The qRT-PCR results also confirmed that the candidate genes with SVs showed differential expression between ‘Shijiwuhe’ pear and ‘Bartlett’ or ‘Yali’. This study, which combined field experiments, SV detection, and transcriptome analysis might provide an effective way to predict the candidate genes regulating the seedless trait and important gene resources for genetic improvement of pear. INTRODUCTION Breast cancer is caused by the interaction of inherited and environmental risk factors. Also, gastric cancer is the second fatal carcinoma. learn more B-cell leukemia/lymphoma 2 gene family plays a crucial role in carcinogenesis by inhibiting the apoptosis process. MATERIALS AND METHODS In this study, 129 patients with breast cancer and 132 controls as well as 136 patients with gastric cancer and 50 controls were enrolled. We used Real time PCR to determine the genotype of the samples. Finally, we analyzed the diagram based on high temperature melting curve diagram using the MICPCR software, followed by bioinformatics prediction of rs1016860 functions. RESULTS rs1016860 of BCL2 gene with CC, CT, and TT genotypes were observed in this region. The association of Estrogen receptor and Progesterone receptor, cancer stage and grade of cancer in the patients with genotypes was significant in breast cancer. The association of the status of primary tumor in the patients with genotypes is significant in gastric cancer (Chi-Square p  less then  0.05 and p = 0.000 did not follow the Hardy-Weinberg equilibrium). DISCUSSION It was predicted that the TT genotype could be dangerous in breast cancer and gastric cancer; it is expected via bioinformatics that this SNP could lead to signaling pathways of cancer progression, by altering the binding potential of miR-629-5p to BCL2 3’UTR. Glutathione S-transferases (GSTs) are a large complex family of enzymes (EC 2.5.1.18) that play vital roles in flavonoid metabolism and plant growth and development and are responsive to heavy metal stress. However, knowledge about GST genes in radish (a vegetable crop with an extraordinary capacity to adapt to heavy metal stresses) is limited. Therefore, it is critical to identify putative candidate GST genes responsible for heavy metal stress tolerance and anthocyanin biosynthesis. In this study, we first identified 82 R. sativus GST (RsGST) genes using various bioinformatic approaches, and their expression profiles were characterized from RNAseq data. These RsGST genes could be grouped into 7 major subclasses tau (43 members), phi (21 members), tetrachlorohydroquinone dehalogenase (7 members), dehydroascorbat reductase (5 members), zeta (3 members), lambda (2 members) and theta (1 member). In addition, most of the RsGST genes showed organ-specific expression in our study. Moreover, the transcripts of RsGSTF12-1 and RsGSTF12-2, belonging to the phi class, might be candidates encoding anthocyanin transporters in carmine radish, whereas the tau class, consisting of RsGSTU13-1, RsGSTU19, RsGSTU24-1, and RsGSTU3, and theta class, consisting of RsGSTT1-1, might be defend radish against adverse heavy metal stresses. These results will aid in understanding the functions of the GST family related to heavy metal stress and anthocyanin biosynthesis, thereby potentially improving radish breeding programs for high-pigment-content material as well as HM-tolerant material. V.PURPOSE The present study investigated the association between perioperative hyperglycemia and the treatment and survival outcomes of patients with oral cavity squamous cell carcinoma (OSCC). PATIENTS AND METHODS From 2004 to 2016, 385 patients with OSCC were enrolled and stratified into normoglycemic ( less then 180 mg/dL) and hyperglycemic (≥180 mg/dL) groups. The clinicopathologic characteristics and treatment outcomes of OSCC were subsequently analyzed. RESULTS Of the 385 patients, 61 (15.8%) were in the hyperglycemic group. Hyperglycemia was significantly associated with pT stage, pN stage, overall pathologic stage, extranodal extension, albumin level, and tumor depth (P = .004, P = .042, P = .008, P = .001, P = .004, and P = .011, respectively). Patients with hyperglycemia also required a longer hospital stay (P = .003). The 5-year overall survival and disease-specific survival were poorer in the hyperglycemic group than in the normoglycemic group (P = .001 and P = .002, respectively). Multivariate analysis revealed that hyperglycemia is a significant adverse prognostic indicator for OSCC (hazard ratio, 1.