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首页> 外文期刊>Disease Prevention Daily. >Findings from China Medical University Yields New Findings on Lung Cancer (Identification and Validation of a Metabolism-related Model and Associated With Tumor-infiltrating Lymphocytes In P53 Mutant Lung Adenocarcinoma Patients)
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Findings from China Medical University Yields New Findings on Lung Cancer (Identification and Validation of a Metabolism-related Model and Associated With Tumor-infiltrating Lymphocytes In P53 Mutant Lung Adenocarcinoma Patients)

机译:从中国医科大学收益率新发现肺癌(识别和发现相关模型和验证与肿瘤浸润淋巴细胞P53突变肺腺癌患者)

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2021 SEP 21 (NewsRx) - By a News Reporter-Staff News Editor at Disease Prevention Daily - A new study on Oncology - Lung Cancer is now available. According to news reporting out of Shenyang, People's Republic of China, by NewsRx editors, research stated, "The immunosuppressive tumor microenvironment produced by cancer cells is a key mechanisms of cancer immune escape. In this study, we investigated the relationship between the metabolic patterns and tumor immune environment in the TME of lung adenocarcinoma (LUAD) with the p53 mutation." Financial support for this research came from National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from China Medical University, "The clinical data of 495 LUAD patients was obtained from The Cancer Genome Atlas as transcriptomic and somatic mutation data. Using differential analysis, survival analysis, and a LASSO regression model based on metabolic unigenes from KEGG pathways, a tumor metabolic model was constructed to predict the prognosis of LUAD patients. Subsequently, nomogram, receiver operating characteristic, and decision curve analyses were conducted to assess the predictive ability of the model. In addition, the ESTIMATE and CIBERSORT algorithms were used to detect tumor purity and estimate the fractions of 22 immune cell types in each patient, respectively.
机译:2021年9月21日(NewsRx)——由一个新闻记者新闻编辑在日常——一种新的疾病预防研究肺癌肿瘤——现在是可用的。根据新闻报道,沈阳,中华人民共和国NewsRx编辑,研究说,“免疫抑制肿瘤癌细胞是一种产生的微环境肿瘤免疫逃逸的关键机制。研究中,我们调查了之间的关系代谢和肿瘤免疫模式环境中肺腺癌的身上(LUAD) p53突变。”这项研究来自国家自然中国科学基金(国家自然科学基金委)。记者引用研究获得从中国医科大学的临床数据495年LUAD从癌症患者得到基因组图谱转录组和体细胞突变的数据。生存分析,套索回归模型基于代谢unigenes KEGG通路,a肿瘤代谢模型构造预测LUAD患者的预后。列线图,接收机操作特点,和决策曲线分析进行评估模型的预测能力。估计和CIBERSORT算法检测肿瘤纯洁和估计分数22在每个病人免疫细胞类型,分别。

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