Key Specialty of Clinical Pharmacy, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
School of Clinical Pharmacy, Guangdong Pharmaceutical University, Guangzhou, China.
BMC Pharmacol Toxicol. 2022 Apr 8;23(1):23. doi: 10.1186/s40360-022-00561-x.
The development of drug resistance remains to be a major cause of therapeutic failure in breast cancer patients. How drug-sensitive cells first evade drug inhibition to proliferate remains to be fully investigated.
Here we characterized the early transcriptional evolution in response to TGF-β in the human triple-negative breast cells through bioinformatical analysis using a published RNA-seq dataset, for which MCF10A cells were treated with 5 ng/ml TGF-β1 for 0 h, 24 h, 48 h and 72 h, and the RNA-seq were performed in biological duplicates. The protein-protein interaction networks of the differentially expressed genes were constructed. KEGG enrichment analysis, cis-regulatory sequence analysis and Kaplan-Meier analysis were also performed to analyze the cellular reprograming induced by TGF-β and its contribution to the survival probability decline of breast cancer patients.
Transcriptomic analysis revealed that cell growth was severely suppressed by TGF-β in the first 24 h but this anti-proliferate impact attenuated between 48 h and 72 h. The oncogenic actions of TGF-β happened within the same time frame with its anti-proliferative effects. In addition, sustained high expression of several drug resistance markers was observed after TGF-β treatment. We also identified 17 TGF-β induced genes that were highly correlated with the survival probability decline of breast cancer patients.
Together, TGF-β plays an important role in tumorigenesis and the development of drug resistance, which implies potential therapeutic strategies targeting the early-stage TGF-β signaling activities.
耐药性的发展仍然是乳腺癌患者治疗失败的主要原因。药物敏感细胞如何首先逃避药物抑制而增殖仍有待充分研究。
我们通过使用已发表的 RNA-seq 数据集进行生物信息学分析,对人三阴性乳腺癌细胞中 TGF-β 作用的早期转录组进化进行了特征描述,其中 MCF10A 细胞用 5ng/ml TGF-β1 处理 0h、24h、48h 和 72h,并在生物学重复中进行 RNA-seq。构建差异表达基因的蛋白质-蛋白质相互作用网络。还进行了 KEGG 富集分析、顺式调控序列分析和 Kaplan-Meier 分析,以分析 TGF-β诱导的细胞重编程及其对乳腺癌患者生存概率下降的贡献。
转录组分析显示,TGF-β在最初的 24 小时内严重抑制细胞生长,但这种抗增殖作用在 48 小时至 72 小时之间减弱。TGF-β 的致癌作用与它的抗增殖作用发生在同一时间框架内。此外,在 TGF-β处理后观察到几种耐药标记物的持续高表达。我们还鉴定了 17 个与乳腺癌患者生存概率下降高度相关的 TGF-β诱导基因。
综上所述,TGF-β在肿瘤发生和耐药性发展中起着重要作用,这意味着针对早期 TGF-β 信号活性的潜在治疗策略。