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The Role of Intestinal Microbiota in Metastatic Colorectal Cancer Patients Treated With Capecitabine

Aarnoutse, Romy, Ziemons, Janine, de Vos-Geelen, Judith, Valkenburg-van Iersel, Liselot, Wildeboer, Aurelia C.L., Vievermans, Anne, Creemers, Geert-Jan M., Baars, Arnold, Vestjens, Hanneke J.H.M.J., Le, Giang N., Barnett, David J.M., Rensen, Sander S., Penders, John, Smidt, Marjolein L.·2022·Clinical Colorectal Cancer
DOI 10.1016/j.clcc.2021.10.004
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Citations

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Research works printed but not linked: 33

  1. Rawla, 2019, Epidemiology of colorectal cancer: incidence, mortality, survival, and risk factors, Prz Gastroenterol, 14, 89
  2. Cunningham, 2013, Bevacizumab plus capecitabine versus capecitabine alone in elderly patients with previously untreated metastatic colorectal cancer (AVEX): an open-label, randomised phase 3 trial, Lancet Oncol, 14, 1077, 10.1016/S1470-2045(13)70154-2 · DOI
  3. Hoff, 2001, Comparison of oral capecitabine versus intravenous fluorouracil plus leucovorin as first-line treatment in 605 patients with metastatic colorectal cancer: results of a randomized phase III study, J Clin Oncol, 19, 2282, 10.1200/JCO.2001.19.8.2282 · DOI
  4. Van Cutsem, 2000, Capecitabine, an oral fluoropyrimidine carbamate with substantial activity in advanced colorectal cancer: results of a randomized phase II study, J Clin Oncol, 18, 1337, 10.1200/JCO.2000.18.6.1337 · DOI
  5. 2019, A review of 10 years of human microbiome research activities at the US National Institutes of Health, Fiscal Years 2007-2016, Microbiome, 7, 31, 10.1186/s40168-019-0620-y · DOI
  6. Helmink, 2019, The microbiome, cancer, and cancer therapy, Nat Med, 25, 377, 10.1038/s41591-019-0377-7 · DOI · Paper page
  7. Sougiannis, 2019, Impact of 5 fluorouracil chemotherapy on gut inflammation, functional parameters, and gut microbiota, Brain Behav Immun, 80, 44, 10.1016/j.bbi.2019.02.020 · DOI
  8. An, 2016, Combination therapy of lactobacillus plantarum supernatant and 5-fluouracil increases chemosensitivity in colorectal cancer cells, J Microbiol Biotechnol, 26, 1490, 10.4014/jmb.1605.05024 · DOI
  9. Yuan, 2018, The influence of gut microbiota dysbiosis to the efficacy of 5-Fluorouracil treatment on colorectal cancer, Biomed Pharmacother, 108, 184, 10.1016/j.biopha.2018.08.165 · DOI
  10. Zimmermann, 2019, Mapping human microbiome drug metabolism by gut bacteria and their genes, Nature, 570, 462, 10.1038/s41586-019-1291-3 · DOI · Paper page
  11. Aarnoutse, 2019, The clinical link between human intestinal microbiota and systemic cancer therapy, Int J Mol Sci, 20, 4145, 10.3390/ijms20174145 · DOI
  12. Li, 2020, Composition of fecal microbiota in low-set rectal cancer patients treated with FOLFOX, Ther Adv Chronic Dis, 11, 10.1177/2040622320904293 · DOI
  13. Aarnoutse, 2017, Study protocol on the role of intestinal microbiota in colorectal cancer treatment: a pathway to personalized medicine 2.0, Int J Colorectal Dis, 32, 1077, 10.1007/s00384-017-2819-3 · DOI
  14. Aarnoutse, 2017, Study protocol on the role of intestinal microbiota in colorectal cancer treatment: a pathway to personalized medicine 2.0, Int J Colorectal Dis, 32, 1077, 10.1007/s00384-017-2819-3 · DOI
  15. Eisenhauer, 2009, New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1), Eur J Cancer, 45, 228, 10.1016/j.ejca.2008.10.026 · DOI · Paper page
  16. Liu, 2020, Evaluation of Compatibility of 16S rRNA V3V4 and V4 Amplicon Libraries for Clinical Microbiome Profiling, bioRxiv
  17. Galazzo, 2020, How to count our microbes? the effect of different quantitative microbiome profiling approaches, Front Cell Infect Microbiol, 10, 403, 10.3389/fcimb.2020.00403 · DOI
  18. Callahan, 2016, DADA2: High-resolution sample inference from Illumina amplicon data, Nat Methods, 13, 581, 10.1038/nmeth.3869 · DOI · Paper page
  19. Lagkouvardos, 2017, Rhea: a transparent and modular R pipeline for microbial profiling based on 16S rRNA gene amplicons, PeerJ, 5, e2836, 10.7717/peerj.2836 · DOI
  20. GUniFrac, 2018, Generalized UniFrac distances, R package version 1, 1
  21. McMurdie, 2013, phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data, PLoS One, 8, e61217, 10.1371/journal.pone.0061217 · DOI
  22. FGB, 2019, Eduard Szoecs, Wagner aH. vegan: community ecology package, R package version 2.5-6
  23. Wickham, 2020, dplyr: A grammar of data manipulation, R package version 1.0. 2 (2020)
  24. Barnett, 2021, microViz: an R package for microbiome data visualization and statistics, J Open Source Software, 6, 3201, 10.21105/joss.03201 · DOI
  25. Balhareth, 2019, Impact of physical activity and diet on colorectal cancer survivors' quality of life: a systematic review, World J Surg Oncol, 17, 153, 10.1186/s12957-019-1697-2 · DOI
  26. Sze, 2017, Normalization of the microbiota in patients after treatment for colonic lesions, Microbiome, 5, 150, 10.1186/s40168-017-0366-3 · DOI
  27. Zwielehner, 2011, Changes in human fecal microbiota due to chemotherapy analyzed by TaqMan-PCR, 454 sequencing and PCR-DGGE fingerprinting, PLoS One, 6, e28654, 10.1371/journal.pone.0028654 · DOI
  28. Dubinsky, 2020, Predominantly antibiotic-resistant intestinal microbiome persists in patients with pouchitis who respond to antibiotic therapy, Gastroenterology, 158, 610, 10.1053/j.gastro.2019.10.001 · DOI
  29. Riviere, 2016, Bifidobacteria and butyrate-producing colon bacteria: importance and strategies for their stimulation in the human gut, Front Microbiol, 7, 979, 10.3389/fmicb.2016.00979 · DOI
  30. Durazzi, 2021, Comparison between 16S rRNA and shotgun sequencing data for the taxonomic characterization of the gut microbiota, Sci Rep, 11, 3030, 10.1038/s41598-021-82726-y · DOI
  31. Manor, 2020, Health and disease markers correlate with gut microbiome composition across thousands of people, Nat Commun, 11, 5206, 10.1038/s41467-020-18871-1 · DOI
  32. Reigner, 2001, Clinical pharmacokinetics of capecitabine, Clin Pharmacokinet, 40, 85, 10.2165/00003088-200140020-00002 · DOI
  33. van Hellemond, 2018, Capecitabine-associated terminal ileitis, Case Rep Oncol, 11, 654, 10.1159/000492781 · DOI

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Metadata

Authors
Aarnoutse, R., Ziemons, J., de Vos-Geelen, J., Valkenburg-van Iersel, L., Wildeboer, A. C. L., Vievermans, A., Creemers, G.-J. M., Baars, A., Vestjens, H. J. H. M. J., Le, G. N., Barnett, D. J. M., Rensen, S. S., Penders, J., & Smidt, M. L.
Venue
Clinical Colorectal Cancer
Publisher
Elsevier BV
Published
2022-06
Volume
21
Issue
2
Pages
e87-e97
ISSN
1533-0028
DOI
10.1016/j.clcc.2021.10.004
Cited by
19
References
1
Language
en
Licence
Funders
Servier

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