Literature DB >> 33658300

Microbiome Analysis of More Than 2,000 NHS Bowel Cancer Screening Programme Samples Shows the Potential to Improve Screening Accuracy.

Caroline Young1, Henry M Wood2, Alba Fuentes Balaguer2, Daniel Bottomley2, Niall Gallop2, Lyndsay Wilkinson2, Sally C Benton3, Martin Brealey3, Cerin John3, Carole Burtonwood3, Kelsey N Thompson4, Yan Yan4, Jennifer H Barrett2, Eva J A Morris2,5, Curtis Huttenhower4, Philip Quirke2.   

Abstract

PURPOSE: There is potential for fecal microbiome profiling to improve colorectal cancer screening. This has been demonstrated by research studies, but it has not been quantified at scale using samples collected and processed routinely by a national screening program. EXPERIMENTAL
DESIGN: Between 2016 and 2019, the largest of the NHS Bowel Cancer Screening Programme hubs prospectively collected processed guaiac fecal occult blood test (gFOBT) samples with subsequent colonoscopy outcomes: blood-negative [n = 491 (22%)]; colorectal cancer [n = 430 (19%)]; adenoma [n = 665 (30%)]; colonoscopy-normal [n = 300 (13%)]; nonneoplastic [n = 366 (16%)]. Samples were transported and stored at room temperature. DNA underwent 16S rRNA gene V4 amplicon sequencing. Taxonomic profiling was performed to provide features for classification via random forests (RF).
RESULTS: Samples provided 16S amplicon-based microbial profiles, which confirmed previously described colorectal cancer-microbiome associations. Microbiome-based RF models showed potential as a first-tier screen, distinguishing colorectal cancer or neoplasm (colorectal cancer or adenoma) from blood-negative with AUC 0.86 (0.82-0.89) and AUC 0.78 (0.74-0.82), respectively. Microbiome-based models also showed potential as a second-tier screen, distinguishing from among gFOBT blood-positive samples, colorectal cancer or neoplasm from colonoscopy-normal with AUC 0.79 (0.74-0.83) and AUC 0.73 (0.68-0.77), respectively. Models remained robust when restricted to 15 taxa, and performed similarly during external validation with metagenomic datasets.
CONCLUSIONS: Microbiome features can be assessed using gFOBT samples collected and processed routinely by a national colorectal cancer screening program to improve accuracy as a first- or second-tier screen. The models required as few as 15 taxa, raising the potential of an inexpensive qPCR test. This could reduce the number of colonoscopies in countries that use fecal occult blood test screening. ©2021 American Association for Cancer Research.

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Year:  2021        PMID: 33658300      PMCID: PMC7610626          DOI: 10.1158/1078-0432.CCR-20-3807

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   13.801


  62 in total

1.  Leveraging sequence-based faecal microbial community survey data to identify a composite biomarker for colorectal cancer.

Authors:  Manasi S Shah; Todd Z DeSantis; Thomas Weinmaier; Paul J McMurdie; Julia L Cope; Adam Altrichter; Jose-Miguel Yamal; Emily B Hollister
Journal:  Gut       Date:  2017-03-24       Impact factor: 23.059

2.  Fusobacterium and colorectal cancer: causal factor or passenger? Results from a large colorectal cancer screening study.

Authors:  Efrat L Amitay; Simone Werner; Marius Vital; Dietmar H Pieper; Daniela Höfler; Indra-Jasmin Gierse; Julia Butt; Yesilda Balavarca; Katarina Cuk; Hermann Brenner
Journal:  Carcinogenesis       Date:  2017-08-01       Impact factor: 4.944

3.  Metagenomic analysis of faecal microbiome as a tool towards targeted non-invasive biomarkers for colorectal cancer.

Authors:  Jun Yu; Qiang Feng; Sunny Hei Wong; Dongya Zhang; Qiao Yi Liang; Youwen Qin; Longqing Tang; Hui Zhao; Jan Stenvang; Yanli Li; Xiaokai Wang; Xiaoqiang Xu; Ning Chen; William Ka Kei Wu; Jumana Al-Aama; Hans Jørgen Nielsen; Pia Kiilerich; Benjamin Anderschou Holbech Jensen; Tung On Yau; Zhou Lan; Huijue Jia; Junhua Li; Liang Xiao; Thomas Yuen Tung Lam; Siew Chien Ng; Alfred Sze-Lok Cheng; Vincent Wai-Sun Wong; Francis Ka Leung Chan; Xun Xu; Huanming Yang; Lise Madsen; Christian Datz; Herbert Tilg; Jian Wang; Nils Brünner; Karsten Kristiansen; Manimozhiyan Arumugam; Joseph Jao-Yiu Sung; Jun Wang
Journal:  Gut       Date:  2015-09-25       Impact factor: 23.059

4.  Metagenomic microbial community profiling using unique clade-specific marker genes.

Authors:  Nicola Segata; Levi Waldron; Annalisa Ballarini; Vagheesh Narasimhan; Olivier Jousson; Curtis Huttenhower
Journal:  Nat Methods       Date:  2012-06-10       Impact factor: 28.547

5.  Identifying Gut Microbiota Associated With Colorectal Cancer Using a Zero-Inflated Lognormal Model.

Authors:  Dongmei Ai; Hongfei Pan; Xiaoxin Li; Yingxin Gao; Gang Liu; Li C Xia
Journal:  Front Microbiol       Date:  2019-04-24       Impact factor: 5.640

6.  Fecal Fusobacterium nucleatum for the diagnosis of colorectal tumor: A systematic review and meta-analysis.

Authors:  Xinyu Zhang; Xiaoqiang Zhu; Yingying Cao; Jing-Yuan Fang; Jie Hong; Haoyan Chen
Journal:  Cancer Med       Date:  2019-01-12       Impact factor: 4.452

7.  A retrospective observational study examining the characteristics and outcomes of tumours diagnosed within and without of the English NHS Bowel Cancer Screening Programme.

Authors:  E J A Morris; L E Whitehouse; T Farrell; C Nickerson; J D Thomas; P Quirke; M D Rutter; C Rees; P J Finan; J R Wilkinson; J Patnick
Journal:  Br J Cancer       Date:  2012-07-31       Impact factor: 7.640

Review 8.  The Diagnostic Performance of Stool DNA Testing for Colorectal Cancer: A Systematic Review and Meta-Analysis.

Authors:  Rong-Lin Zhai; Fei Xu; Pei Zhang; Wan-Li Zhang; Hui Wang; Ji-Liang Wang; Kai-Lin Cai; Yue-Ping Long; Xiao-Ming Lu; Kai-Xiong Tao; Guo-Bin Wang
Journal:  Medicine (Baltimore)       Date:  2016-02       Impact factor: 1.889

9.  Association of Flavonifractor plautii, a Flavonoid-Degrading Bacterium, with the Gut Microbiome of Colorectal Cancer Patients in India.

Authors:  Ankit Gupta; Darshan B Dhakan; Abhijit Maji; Rituja Saxena; Vishnu Prasoodanan P K; Shruti Mahajan; Joby Pulikkan; Jacob Kurian; Andres M Gomez; Joy Scaria; Katherine R Amato; Ashok K Sharma; Vineet K Sharma
Journal:  mSystems       Date:  2019-11-12       Impact factor: 6.496

10.  First steps towards combining faecal immunochemical testing with the gut microbiome in colorectal cancer screening.

Authors:  Esmée J Grobbee; Suk Yee Lam; Gwenny M Fuhler; Blerdi Blakaj; Sergey R Konstantinov; Marco J Bruno; Maikel P Peppelenbosch; Ernst J Kuipers; Manon Cw Spaander
Journal:  United European Gastroenterol J       Date:  2019-12-19       Impact factor: 4.623

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  2 in total

1.  Fusobacterium nucleatum drives a pro-inflammatory intestinal microenvironment through metabolite receptor-dependent modulation of IL-17 expression.

Authors:  Caitlin A Brennan; Slater L Clay; Sydney L Lavoie; Sena Bae; Jessica K Lang; Diogo Fonseca-Pereira; Kathryn G Rosinski; Nora Ou; Jonathan N Glickman; Wendy S Garrett
Journal:  Gut Microbes       Date:  2021 Jan-Dec

Review 2.  The Tissue-Associated Microbiota in Colorectal Cancer: A Systematic Review.

Authors:  Carolina Pinto da Costa; Patrícia Vieira; Melissa Mendes-Rocha; Joana Pereira-Marques; Rui Manuel Ferreira; Ceu Figueiredo
Journal:  Cancers (Basel)       Date:  2022-07-12       Impact factor: 6.575

  2 in total

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