【佳學(xué)基因檢測】基因檢測揭示乳腺癌中腫瘤抑制基因的致癌機制

靶向藥基因檢測兩萬有必要嗎—標(biāo)準(zhǔn)

與專家交流知道《Int J Mol Sci》在. 2022 Aug 25;23(17):9624.發(fā)表了一篇題目為《揭示乳腺癌多組學(xué)數(shù)據(jù)中腫瘤抑制基因的致癌機制》腫瘤靶向藥物治療基因檢測臨床研究文章。該研究由Seong Beom Cho 等完成。促進了腫瘤的正確治療與個性化用藥的發(fā)展，進一步強調(diào)了基因信息檢測與分析的重要性。

腫瘤靶向藥物及正確治療臨床研究內(nèi)容關(guān)鍵詞：

乳腺癌,多組學(xué)數(shù)據(jù),監(jiān)管機制,抑癌基因

腫瘤靶向治療基因檢測臨床應(yīng)用結(jié)果

腫瘤抑制基因 (TSG) 是癌癥發(fā)展過程中必不可少的基因。雖然它們在正常細胞中具有許多作用，但 TSG 的突變和失調(diào)會導(dǎo)致癌細胞中的異常分子過程。因此，了解 TSG 及其在致癌過程中的作用對于預(yù)防和治療癌癥至關(guān)重要。在這項研究中，多組學(xué)乳腺癌數(shù)據(jù)被用于確定 TSG 在乳腺癌中的分子機制。在來自公共存儲庫的四個大規(guī)模轉(zhuǎn)錄組學(xué)數(shù)據(jù)中通過基因檢不則鑒定了差異表達基因和差異共表達基因，并對拷貝數(shù)、甲基化和基因表達進行了多組學(xué)數(shù)據(jù)分析。使用 p 值求和方法的富集分析和薈萃分析對分析結(jié)果進行整合。綜合分析表明，腫瘤抑制基因與與細胞周期、基因組穩(wěn)定性、RNA加工和轉(zhuǎn)移有關(guān)的基因本體術(shù)語的基因具有顯著的關(guān)系，表明了腫瘤抑制基因?qū)Π┘毎恼{(diào)控機制。該分析框架和基因檢測研究結(jié)果將為進一步鑒定不同類型癌癥中的腫瘤抑制基因提供有價值的信息。多組學(xué)數(shù)據(jù)；監(jiān)管機制；抑癌基因。

腫瘤發(fā)生與反復(fù)轉(zhuǎn)移國際數(shù)據(jù)庫描述：

Tumor suppressor genes (腫瘤抑制基因) are essential genes in the development of cancer. While they have many roles in normal cells, mutation and dysregulation of the 腫瘤抑制基因 result in aberrant molecular processes in cancer cells. Therefore, understanding 腫瘤抑制基因 and their roles in the oncogenic process is crucial for prevention and treatment of cancer. In this research, multi-omics breast cancer data were used to identify molecular mechanisms of 腫瘤抑制基因 in breast cancer. Differentially expressed genes and differentially coexpressed genes were identified in four large-scale transcriptomics data from public repositories and multi-omics data analyses of copy number, methylation and gene expression were performed. The results of the analyses were integrated using enrichment analysis and meta-analysis of a p-value summation method. The integrative analysis revealed that 腫瘤抑制基因 have a significant relationship with genes of gene ontology terms that are related to cell cycle, genome stability, RNA processing and metastasis, indicating the regulatory mechanisms of 腫瘤抑制基因 on cancer cells. The analysis frame and research results will provide valuable information for the further identification of 腫瘤抑制基因 in different types of cancers.Keywords: breast cancer; multi-omics data; regulatory mechanism; tumor suppressor gene.