Latest statistics showed that the morbidity and mortality of colon adenocarcinoma (COAD) ranked fourth and fifth, respectively, around the world. COAD was a heterogeneous disease, and the high rates of recurrence, metastasis, and drug resistance still posed great challenges for treatment, which needs to further develop therapeutic and prognostic targets. In this study, we got the top 3,075 differentially expressed genes (DEGs) and 1,613 potential prognostic genes by GEPIA 2 and identified 1,166 fitness genes in COAD based on genome-scale CRISPR-Cas9 knockout (GeCKO) screening data. Excluding the genes already reported in the literatures, a total of nine DEGs overlapping with prognostic and fitness genes were further analyzed. High expression of CCT6A, RHOQ, and RRP12 promoted COAD cell growth and were relative to lower survival rate of COAD patients, while high expression of UTP18, DDOST, YRDC, ACTG1, RFT1, and NLE1 also promoted COAD cell growth, but were relative to higher survival rate. In addition, CCT6A, UTP18, YRDC, RRP12, RFT1, NLE1, as well as DDOST were essential genes across pan-cancer including COAD cells, and ACTG1 and RHOQ were less essential genes in cancer cells. In a word, we discovered nine novel potential genes that could serve as anticancer targets and prognostic markers in COAD and its subtypes.
Papillary thyroid carcinoma (PTC) is a common malignancy in endocrine system globally. Accumulating articles have found that circular RNAs (circRNAs) were dysregulated, and they were involved in PTC development. The aim of this project was to explore the function and associated mechanism of circRNA mannosidase alpha class 1A member 2 (circMAN1A2) in PTC progression. The expression of RNA was determined by real-time quantitative PCR. Cell proliferation ability was analyzed by colony formation assay and 5-ethynyl-2′-deoxyuridine assay. Cell migration and invasion were assessed by wound healing assay and transwell invasion assay, respectively. Protein levels were determined by Western blot assay. Dual-luciferase reporter assay and RNA immunoprecipitation assay were applied to confirm the interaction between microRNA-449a (miR-449a) and circMAN1A2 or metadherin (MTDH). Xenograft tumor model was utilized to explore the effect of circMAN1A2 silencing on tumor growth in vivo. CircMAN1A2 expression was elevated in PTC specimens and three PTC cell lines relative to adjacent normal specimens and Nthy-ori 3-1 cell line. CircMAN1A2 silencing inhibited the proliferation and motility of PTC cells. CircMAN1A2 acted as a molecular sponge of miR-449a, and circMAN1A2 knockdown suppressed PTC development partly through upregulating miR-449a. MiR-449a bound to the 3′ untranslated region of MTDH, and miR-449a restrained PTC progression partly through down-regulating MTDH. CircMAN1A2 interference suppressed PTC progression in vivo. CircMAN1A2 contributed to the proliferation ability and motility of PTC cells through enhancing MTDH expression via sponging miR-449a.
Background:Due to its remarkable effect in controlling glycometabolism, relatively simple operation, and low risk of complications, sleeve gastrectomy (SG) has become the preferred surgical treatment for type II diabetes mellitus. Increased blood glucose in the body can cause damage to functional cells. Material/Methods:Long non-coding RNA SNHG5 expression and TGR5 in serum were analyzed by real-time PCR. A diabetic cell model was established by culturing normal human intestinal epithelial cells NCM460 and DLD-1 with high-glucose and high-fat medium. CCK-8 assay, TUNEL assay, and flow cytometry were used to assess cell growth and apoptosis, respectively. The secretion of lactate dehydrogenase (LDH) was detected using the LDH Cytotoxicity Kit. lncRNA SNHG5 was downregulated by siRNA. The changes in expression of SNHG5, TGR5, Akt, p65, and Bcl-2 were analyzed by real-time PCR assay or Western blot. Results:In 40 type II diabetes patients who underwent sleeve gastrectomy, the expression of SNHG5 decreased and the expression of TGR5 increased compared with that before the operation. After high-glucose and high-fat culture, cell growth was inhibited and cell apoptosis increased significantly. The expression of SNHG5 was increased and TGR5 was decreased with high-glucose and high-fat culture. However, high glucose and high fat showed an opposite trend for cell growth, apoptosis, and LDH release under inhibition of SNHG5. The expression levels of TGR5 and Akt, p65, and Bcl-2 were also returned to normal by SNHG5 inhibition. Conclusions:By downregulating expression of the SNHG5 gene and then altering expression of the TGR5 gene, the damage to colorectal cells induced by high glucose was alleviated. This may be one of the mechanisms underlying the effect of sleeve gastric surgery in treatment of diabetes mellitus.
Background. In order to explore the regulation of quality of life and immune function in patients with thyroid cancer after radiotherapy, a method based on deep learning technology was proposed. A deep learning detection method for thyroid cancer is proposed. Methods. It mainly includes three main modules: data preprocessing, thyroid cancer regional detection module, and thyroid cancer benign and malignant classification module. The data set in the experiment comes from LIDC-IDRI and is processed by the data preprocessing module to generate a standard data format that can be processed by the framework. The treatment of thyroid cancer can help patients relapse malignant thyroid cancer and prevent recurrence in advance. Results. The results showed that most patients are diagnosed because of obvious swelling of local thyroid mass and conscious compression symptoms in the neck. At this time, they often miss the best treatment time, so as to reduce the surgical effect. Conclusions. The metastasis and invasion of cancer cells are fast, the cancerous lesions are easy to form adhesion with the surrounding tracheal tissue, and the cancer cells invade the surrounding soft tissue, which is also easy to cause the cancerous tissue not to be completely removed. Clinical Trial Registration. Therefore, deep learning technology is used to treat residual cancerous lesions to ensure the surgical effect.
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