The biodiversity Composition of Microbiome in Ovarian Carcinoma Patients

Ovarian carcinoma is caused by multiple factors, but its etiology associated with microbes and infection is unknown. Using 16S rRNA high-throughput sequencing methods, the diversity and composition of the microbiota from ovarian cancer tissues (25 samples) and normal distal fallopian tube tissues (25 samples) were analyzed. High-throughput sequencing showed that the diversity and richness indexes were significantly decreased in ovarian cancer tissues compared to tissues from normal distal fallopian tubes. The ratio of the two phyla for Proteobacteria/Firmicutes was notably increased in ovarian cancer, which revealed that microbial composition change might be associated with the process of ovarian cancer development. In addition, transcriptome-sequencing (RNA-seq) analyses suggested that the transcriptional profiles were statistically different between ovarian carcinoma and normal distal fallopian tubes. Moreover, a set of genes including 84 different inflammation-associated or immune-associated genes, which had been named as the human antibacterial-response genes were also modulated expression. Therefore, we hypothesize that the microbial composition change, as a novel risk factor, may be involving the initiation and progression of ovarian cancer via influencing and regulating the local immune microenvironment of fallopian tubes except for regular pathways.

Medienart:

E-Artikel

Erscheinungsjahr:

2019

Erschienen:

2019

Enthalten in:

Zur Gesamtaufnahme - volume:9

Enthalten in:

Scientific reports - 9(2019), 1 vom: 08. Feb., Seite 1691

Sprache:

Englisch

Beteiligte Personen:

Zhou, Bo [VerfasserIn]
Sun, Chaoyang [VerfasserIn]
Huang, Jia [VerfasserIn]
Xia, Meng [VerfasserIn]
Guo, Ensong [VerfasserIn]
Li, Na [VerfasserIn]
Lu, Hao [VerfasserIn]
Shan, Wanying [VerfasserIn]
Wu, Yifan [VerfasserIn]
Li, Yuan [VerfasserIn]
Xu, Xiaoyan [VerfasserIn]
Weng, Danhui [VerfasserIn]
Meng, Li [VerfasserIn]
Hu, Junbo [VerfasserIn]
Gao, Qinglei [VerfasserIn]
Ma, Ding [VerfasserIn]
Chen, Gang [VerfasserIn]

Links:

Volltext

Themen:

DNA, Bacterial
DNA, Ribosomal
Journal Article
RNA, Ribosomal, 16S
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 25.08.2020

Date Revised 25.08.2020

published: Electronic

Citation Status MEDLINE

doi:

10.1038/s41598-018-38031-2

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM29363310X