Suppr超能文献

世界卫生组织侵袭性肺腺癌分级系统揭示了独特的分子特征:来自癌症基因组图谱数据库的分析

WHO grading system for invasive pulmonary lung adenocarcinoma reveals distinct molecular signature: An analysis from the cancer genome atlas database.

作者信息

Forest Fabien, Laville David, Da Cruz Vanessa, Casteillo François, Clemenson Alix, Yvorel Violaine, Picot Tiphanie

机构信息

University Hospital of Saint Etienne, North Hospital, Department of Pathology, Avenue Albert Raimond, 42055 Saint Etienne, Cedex 2, France; University Hospital of Saint Etienne, North Hospital, Molecular Biology of Tumors Unit, Avenue Albert Raimond, 42055 Saint Etienne, Cedex 2, France; Corneal Graft Biology, Engineering, and Imaging Laboratory, BiiGC, EA2521, Faculty of Medicine, Jean Monnet University, Saint-Etienne, France.

University Hospital of Saint Etienne, North Hospital, Department of Pathology, Avenue Albert Raimond, 42055 Saint Etienne, Cedex 2, France.

出版信息

Exp Mol Pathol. 2022 Apr;125:104756. doi: 10.1016/j.yexmp.2022.104756. Epub 2022 Mar 23.

Abstract

Lung adenocarcinoma grading has gained interest in the past years. Recently a three-tier tumor grading was proposed showing that it is related to patients' prognosis. Nevertheless, the underlying molecular basis of this morphological grading remains partly unknown. The aim of our work is to take advantage of The Cancer Genome Atlas lung adenocarcinoma (TCGA_LUAD) cohort to describe the molecular data associated to tumor grading. We performed a study on publicly available data of the TCGA database first by assessing a tumor grade on downloadable tumor slides. Secondly we analyzed the molecular features of each tumor grade group. Our work was performed on a study group of 449 patients. We show that aneuploidy score was significantly different between grade 2 and grade 3 groups with different chromosomal imbalance (p < 0.001). SCGB1A1 mRNA expression was higher in grade 2 (p = 0.0179) whereas NUP155, CHFR, POLQ and CDC7 have a higher expression in grade 3 (p = 0.0189, 0.0427, 0.0427 and 0.427 respectively). GZMB and KRT80 have a higher methylation of DNA in grade 2 (p = 0.0201 and 0.0359 respectively). MT1G, CLEC12B and NDUFA7 have a higher methylation of DNA in grade 3 (p < 0.001, 0.0246 and 0.0359 respectively). We showed that the number of activated pathways is different between grade 2 and grade 3 patients (p = 0.004). We showed that differentially expressed genes by mRNA analysis and DNA methylation analysis involve several genes implied in chemoresistance. This could suggest that grade 3 lung adenocarcinoma might be more resistant to chemotherapy.

摘要

在过去几年中,肺腺癌分级受到了关注。最近有人提出了一种三级肿瘤分级方法,显示其与患者预后相关。然而,这种形态学分级的潜在分子基础仍部分未知。我们研究的目的是利用癌症基因组图谱肺腺癌(TCGA_LUAD)队列来描述与肿瘤分级相关的分子数据。我们首先通过评估可下载肿瘤切片上的肿瘤分级,对TCGA数据库的公开可用数据进行了研究。其次,我们分析了每个肿瘤分级组的分子特征。我们的研究是在一个由449名患者组成的研究组中进行的。我们发现,2级和3级组之间的非整倍体评分存在显著差异,染色体不平衡情况不同(p < 0.001)。SCGB1A1 mRNA表达在2级中较高(p = 0.0179),而NUP155、CHFR、POLQ和CDC7在3级中表达较高(分别为p = 0.0189、0.0427、0.0427和0.427)。GZMB和KRT80在2级中的DNA甲基化程度较高(分别为p = 0.0201和0.0359)。MT1G、CLEC12B和NDUFA7在3级中的DNA甲基化程度较高(分别为p < 0.001、0.0246和0.0359)。我们发现,2级和3级患者之间激活的通路数量不同(p = 0.004)。我们发现,通过mRNA分析和DNA甲基化分析得出的差异表达基因涉及多个与化疗耐药相关的基因。这可能表明3级肺腺癌对化疗的耐药性可能更强。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验