Comparative microbiota profiling of cutaneous tumors identifies Staphylococcus aureus as a possible driver of neoplasia development
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https://www.ncbi.nlm.nih.gov/sra/ERP105323
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Malignant epithelial skin tumors (e.g. cutaneous squamous cell carcinoma, cSCC) arises from specific precursors (e.g. actinic keratosis, AK). During tumor development the host-microbiota equilibrium is altered and a selected pro-inflammatory cutaneous microbiota might drive cancer progression. Thus to assess the impact of microbiota in progression of AK to cSCC, we used comparative 16S rDNA based microbial community profiling, expression analysis and immunophenotyping of human skin cancer samples. The study encompassed formalin-fixed paraffin-embedded (FFPE) samples from AK (n=12), SCC (n=12) and BCC (Basal cell carcinoma, n=13) cases. Microbiota analysis was performed using MiSeq Illumina 16S rDNA sequencing (V1-2 region). The dataset was denoised, quality filtered and analysed using MOTHUR and QIIME.
恶性上皮性皮肤肿瘤(如皮肤鳞状细胞癌(cutaneous squamous cell carcinoma, cSCC))起源于特定癌前病变(如日光性角化病(actinic keratosis, AK))。在肿瘤发生发展过程中,宿主与菌群的稳态会发生失衡,且特定的促炎性皮肤菌群可能推动癌症进展。为评估菌群在AK向cSCC进展过程中的影响,我们采用基于16S rDNA的比较微生物群落谱分析、表达分析及人类皮肤癌样本的免疫表型分型技术。本研究纳入了福尔马林固定石蜡包埋(formalin-fixed paraffin-embedded, FFPE)样本,其中AK组(n=12)、SCC组(n=12)以及基底细胞癌(Basal cell carcinoma, BCC,n=13)病例样本。菌群分析采用Illumina MiSeq平台进行16S rDNA V1-V2区测序。该数据集通过MOTHUR与QIIME软件完成去噪、质量过滤及后续分析。
创建时间:
2018-07-25



