Yanfang Liu1, Zheng Lin1,2, Yingying Lin1, Yuanmei Chen3, Xian-E Peng1,2, Fei He1,2, Shuang Liu1, Siyou Yan1, Liping Huang1, Wanting Lu1, Zhisheng Xiang1, Zhijian Hu2,1. 1. 1Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350108, PR China. 2. 2Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, 1 Xueyuan Road, Minhou, Fuzhou 350108, PR China. 3. 3Department of Thoracic Surgery, Fujian Provincial Cancer Hospital affiliated to Fujian Medical University, Fuzhou 350014, PR China.
Abstract
PURPOSE: Oesophageal squamous cell carcinoma (ESCC) is the dominant type of oesophageal cancer among the East Asian population. The role of ESCC tissue bacteria in neoplastic progression has not been fully elucidated. Our goal was to uncover different bacterial communities in pathological staging grouping of ESCC and to identify microorganisms that could predict the likelihood of prognosis. METHODOLOGY: Tissue samples were obtained from 45 patients and assessed using 16S ribosomal RNA gene sequencing. Significant bacteria were selected to perform survival analysis and evaluate prognostic biomarker.Results/Key findings. We observed variations in the abundance of oesophageal flora among different pathological characteristics of ESCC. Phylum Bacteroidetes, Firmicutes and Spirochaetes showed significantly higher relative abundances among N+ (positive lymph node) patients when compared to N- (negative lymph node) controls, whereas Proteobacteria showed lower abundances in N+ patients. Both genera Prevotella and Treponema were more abundant in the N+ group. In regard to T stage, the abundance of only Streptococcus in T3-4 was significantly higher than that in T1-2, while the other genera showed no significance. On multivariable analysis adjusted for the effects of standard clinicopathological features, combined Streptococcus and Prevotella abundance retained its association with unfavourable survival (hazard ratio, 6.094; 95 % confidence interval, 1.072-34.646; P=0.042), suggesting that this may be an independent prognostic indicator for ESCC. CONCLUSION: Combined Streptococcus and Prevotella abundance is regarded as an independent species prognostic biomarker in ESCC patients.
PURPOSE:Oesophageal squamous cell carcinoma (ESCC) is the dominant type of oesophageal cancer among the East Asian population. The role of ESCC tissue bacteria in neoplastic progression has not been fully elucidated. Our goal was to uncover different bacterial communities in pathological staging grouping of ESCC and to identify microorganisms that could predict the likelihood of prognosis. METHODOLOGY: Tissue samples were obtained from 45 patients and assessed using 16S ribosomal RNA gene sequencing. Significant bacteria were selected to perform survival analysis and evaluate prognostic biomarker.Results/Key findings. We observed variations in the abundance of oesophageal flora among different pathological characteristics of ESCC. Phylum Bacteroidetes, Firmicutes and Spirochaetes showed significantly higher relative abundances among N+ (positive lymph node) patients when compared to N- (negative lymph node) controls, whereas Proteobacteria showed lower abundances in N+ patients. Both genera Prevotella and Treponema were more abundant in the N+ group. In regard to T stage, the abundance of only Streptococcus in T3-4 was significantly higher than that in T1-2, while the other genera showed no significance. On multivariable analysis adjusted for the effects of standard clinicopathological features, combined Streptococcus and Prevotella abundance retained its association with unfavourable survival (hazard ratio, 6.094; 95 % confidence interval, 1.072-34.646; P=0.042), suggesting that this may be an independent prognostic indicator for ESCC. CONCLUSION: Combined Streptococcus and Prevotella abundance is regarded as an independent species prognostic biomarker in ESCC patients.
Authors: Qilin Fan; Fumei Shang; Chen Chen; Hongxia Zhou; Jun Fan; Ming Yang; Xiu Nie; Li Liu; Kailin Cai; Hongli Liu Journal: Cancer Manag Res Date: 2021-03-19 Impact factor: 3.989
Authors: Rodrigo Alex Arthur; Rafael Dos Santos Bezerra; João Paulo Bianchi Ximenez; Bruna Laís Merlin; Raphael de Andrade Morraye; João Valentini Neto; Natália Melo Nasser Fava; David Livingstone Alves Figueiredo; Carlos Alberto Oliveira de Biagi; Maria Jara Montibeller; Jhefferson Barbosa Guimarães; Ellen Gomes Alves; Monique Schreiner; Tiago Silva da Costa; Charlie Felipe Liberati da Silva; Jessica Moraes Malheiros; Luan Henrique Burda da Silva; Guilherme Taborda Ribas; Daisy Obispo Achallma; Camila Margalho Braga; Karen Flaviane Assis Andrade; Valquiria do Carmo Alves Martins; Glauco Vinícius Nestor Dos Santos; Caroline Fabiane Granatto; Ulisses Costa Terin; Igor Henrique Sanches; Diana Estefania Ramos; Humberto Miguel Garay-Malpartida; Gabriela Marcelino Pereira de Souza; Svetoslav Nanev Slavov; Wilson Araújo Silva Journal: Braz J Microbiol Date: 2021-05-18 Impact factor: 2.476