The gut microbiota composition in patients with right- and left-sided colorectal cancer and after curative colectomy, as analyzed by 16S rRNA gene amplicon sequencing

Background Gut pathological microbial imbalance or dysbiosis is closely associated with colorectal cancer. Although there are observable differences in molecular and clinical characteristics between patients with right- and left-sided colon cancer, differences in their gut microbiomes have not been...

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Published inBMC gastroenterology Vol. 22; no. 1; pp. 1 - 13
Main Authors Suga, Daisuke, Mizutani, Hiroki, Fukui, Shunsuke, Kobayashi, Mayu, Shimada, Yasuaki, Nakazawa, Yuuichi, Nishiura, Yuuki, Kawasaki, Yuuya, Moritani, Isao, Yamanaka, Yutaka, Inoue, Hidekazu, Ojima, Eiki, Mohri, Yasuhiko, Nakagawa, Hayato, Dohi, Kaoru, Takaba, Kei, Wada, Hideo, Shiraki, Katsuya
Format Journal Article
LanguageEnglish
Published London BioMed Central Ltd 25.06.2022
BioMed Central
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ISSN1471-230X
1471-230X
DOI10.1186/s12876-022-02382-y

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Abstract Background Gut pathological microbial imbalance or dysbiosis is closely associated with colorectal cancer. Although there are observable differences in molecular and clinical characteristics between patients with right- and left-sided colon cancer, differences in their gut microbiomes have not been thoroughly investigated. Furthermore, subsequent changes in microbiota status after partial colectomy remain unknown. We examined the human gut microbiota composition to determine its relationship with colon cancer and partial colon resection according to location. Methods Stool samples from forty-one subjects (10 in the control group, 10 in the right-sided colon cancer [RCC] group, 6 in the sigmoid colon cancer [SCC] group, 9 in the right colon resection [RCR] group and 6 in the sigmoid colon resection [SCR] group) were collected, and DNA was extracted. After terminal restriction fragment length polymorphism (T-RFLP) analysis, the samples were subjected to 16S rRNA gene amplicon sequencing, and the metabolic function of the microbiota was predicted using PICRUSt2. Results T-RFLP analysis showed a reduced ratio of clostridial cluster XIVa in the SCC patients and clostridial cluster IX in the RCC patients, although these changes were not evident in the RCR or SCR patients. 16S rRNA gene amplicon sequencing demonstrated that the diversity of the gut microbiota in the RCC group was higher than that in the control group, and the diversity in the SCR group was significantly higher than that in the RCR group. Principal coordinate analysis (PCoA) revealed significant differences according to the group. Analyses of the microbiota revealed that Firmicutes was significantly dominant in the RCC group and that the SCC group had a higher abundance of Verrucomicrobia. At the genus level, linear discriminant analysis effect size (LEfSe) revealed several bacteria, such as Ruminococcaceae, Streptococcaceae, Clostridiaceae, Gemellaceae, and Desulfovibrio, in the RCC group and several oral microbiomes in the SCC group. Metabolic function prediction revealed that cholesterol transport- and metabolism-related enzymes were specifically upregulated in the RCC group and that cobalamin metabolism-related enzymes were downregulated in the SCC group. Conclusion Gut microbial properties differ between RCC and SCC patients and between right hemicolectomy and sigmoidectomy patients and may contribute to clinical manifestations. Keywords: Colon cancer, Microbiota, T-RFLP, 16S rRNA gene amplicon sequencing
AbstractList Background Gut pathological microbial imbalance or dysbiosis is closely associated with colorectal cancer. Although there are observable differences in molecular and clinical characteristics between patients with right- and left-sided colon cancer, differences in their gut microbiomes have not been thoroughly investigated. Furthermore, subsequent changes in microbiota status after partial colectomy remain unknown. We examined the human gut microbiota composition to determine its relationship with colon cancer and partial colon resection according to location. Methods Stool samples from forty-one subjects (10 in the control group, 10 in the right-sided colon cancer [RCC] group, 6 in the sigmoid colon cancer [SCC] group, 9 in the right colon resection [RCR] group and 6 in the sigmoid colon resection [SCR] group) were collected, and DNA was extracted. After terminal restriction fragment length polymorphism (T-RFLP) analysis, the samples were subjected to 16S rRNA gene amplicon sequencing, and the metabolic function of the microbiota was predicted using PICRUSt2. Results T-RFLP analysis showed a reduced ratio of clostridial cluster XIVa in the SCC patients and clostridial cluster IX in the RCC patients, although these changes were not evident in the RCR or SCR patients. 16S rRNA gene amplicon sequencing demonstrated that the diversity of the gut microbiota in the RCC group was higher than that in the control group, and the diversity in the SCR group was significantly higher than that in the RCR group. Principal coordinate analysis (PCoA) revealed significant differences according to the group. Analyses of the microbiota revealed that Firmicutes was significantly dominant in the RCC group and that the SCC group had a higher abundance of Verrucomicrobia. At the genus level, linear discriminant analysis effect size (LEfSe) revealed several bacteria, such as Ruminococcaceae, Streptococcaceae, Clostridiaceae, Gemellaceae, and Desulfovibrio, in the RCC group and several oral microbiomes in the SCC group. Metabolic function prediction revealed that cholesterol transport- and metabolism-related enzymes were specifically upregulated in the RCC group and that cobalamin metabolism-related enzymes were downregulated in the SCC group. Conclusion Gut microbial properties differ between RCC and SCC patients and between right hemicolectomy and sigmoidectomy patients and may contribute to clinical manifestations.
Gut pathological microbial imbalance or dysbiosis is closely associated with colorectal cancer. Although there are observable differences in molecular and clinical characteristics between patients with right- and left-sided colon cancer, differences in their gut microbiomes have not been thoroughly investigated. Furthermore, subsequent changes in microbiota status after partial colectomy remain unknown. We examined the human gut microbiota composition to determine its relationship with colon cancer and partial colon resection according to location. Stool samples from forty-one subjects (10 in the control group, 10 in the right-sided colon cancer [RCC] group, 6 in the sigmoid colon cancer [SCC] group, 9 in the right colon resection [RCR] group and 6 in the sigmoid colon resection [SCR] group) were collected, and DNA was extracted. After terminal restriction fragment length polymorphism (T-RFLP) analysis, the samples were subjected to 16S rRNA gene amplicon sequencing, and the metabolic function of the microbiota was predicted using PICRUSt2. T-RFLP analysis showed a reduced ratio of clostridial cluster XIVa in the SCC patients and clostridial cluster IX in the RCC patients, although these changes were not evident in the RCR or SCR patients. 16S rRNA gene amplicon sequencing demonstrated that the diversity of the gut microbiota in the RCC group was higher than that in the control group, and the diversity in the SCR group was significantly higher than that in the RCR group. Principal coordinate analysis (PCoA) revealed significant differences according to the group. Analyses of the microbiota revealed that Firmicutes was significantly dominant in the RCC group and that the SCC group had a higher abundance of Verrucomicrobia. At the genus level, linear discriminant analysis effect size (LEfSe) revealed several bacteria, such as Ruminococcaceae, Streptococcaceae, Clostridiaceae, Gemellaceae, and Desulfovibrio, in the RCC group and several oral microbiomes in the SCC group. Metabolic function prediction revealed that cholesterol transport- and metabolism-related enzymes were specifically upregulated in the RCC group and that cobalamin metabolism-related enzymes were downregulated in the SCC group. Gut microbial properties differ between RCC and SCC patients and between right hemicolectomy and sigmoidectomy patients and may contribute to clinical manifestations.
Background Gut pathological microbial imbalance or dysbiosis is closely associated with colorectal cancer. Although there are observable differences in molecular and clinical characteristics between patients with right- and left-sided colon cancer, differences in their gut microbiomes have not been thoroughly investigated. Furthermore, subsequent changes in microbiota status after partial colectomy remain unknown. We examined the human gut microbiota composition to determine its relationship with colon cancer and partial colon resection according to location. Methods Stool samples from forty-one subjects (10 in the control group, 10 in the right-sided colon cancer [RCC] group, 6 in the sigmoid colon cancer [SCC] group, 9 in the right colon resection [RCR] group and 6 in the sigmoid colon resection [SCR] group) were collected, and DNA was extracted. After terminal restriction fragment length polymorphism (T-RFLP) analysis, the samples were subjected to 16S rRNA gene amplicon sequencing, and the metabolic function of the microbiota was predicted using PICRUSt2. Results T-RFLP analysis showed a reduced ratio of clostridial cluster XIVa in the SCC patients and clostridial cluster IX in the RCC patients, although these changes were not evident in the RCR or SCR patients. 16S rRNA gene amplicon sequencing demonstrated that the diversity of the gut microbiota in the RCC group was higher than that in the control group, and the diversity in the SCR group was significantly higher than that in the RCR group. Principal coordinate analysis (PCoA) revealed significant differences according to the group. Analyses of the microbiota revealed that Firmicutes was significantly dominant in the RCC group and that the SCC group had a higher abundance of Verrucomicrobia. At the genus level, linear discriminant analysis effect size (LEfSe) revealed several bacteria, such as Ruminococcaceae, Streptococcaceae, Clostridiaceae, Gemellaceae, and Desulfovibrio, in the RCC group and several oral microbiomes in the SCC group. Metabolic function prediction revealed that cholesterol transport- and metabolism-related enzymes were specifically upregulated in the RCC group and that cobalamin metabolism-related enzymes were downregulated in the SCC group. Conclusion Gut microbial properties differ between RCC and SCC patients and between right hemicolectomy and sigmoidectomy patients and may contribute to clinical manifestations. Keywords: Colon cancer, Microbiota, T-RFLP, 16S rRNA gene amplicon sequencing
Gut pathological microbial imbalance or dysbiosis is closely associated with colorectal cancer. Although there are observable differences in molecular and clinical characteristics between patients with right- and left-sided colon cancer, differences in their gut microbiomes have not been thoroughly investigated. Furthermore, subsequent changes in microbiota status after partial colectomy remain unknown. We examined the human gut microbiota composition to determine its relationship with colon cancer and partial colon resection according to location.BACKGROUNDGut pathological microbial imbalance or dysbiosis is closely associated with colorectal cancer. Although there are observable differences in molecular and clinical characteristics between patients with right- and left-sided colon cancer, differences in their gut microbiomes have not been thoroughly investigated. Furthermore, subsequent changes in microbiota status after partial colectomy remain unknown. We examined the human gut microbiota composition to determine its relationship with colon cancer and partial colon resection according to location.Stool samples from forty-one subjects (10 in the control group, 10 in the right-sided colon cancer [RCC] group, 6 in the sigmoid colon cancer [SCC] group, 9 in the right colon resection [RCR] group and 6 in the sigmoid colon resection [SCR] group) were collected, and DNA was extracted. After terminal restriction fragment length polymorphism (T-RFLP) analysis, the samples were subjected to 16S rRNA gene amplicon sequencing, and the metabolic function of the microbiota was predicted using PICRUSt2.METHODSStool samples from forty-one subjects (10 in the control group, 10 in the right-sided colon cancer [RCC] group, 6 in the sigmoid colon cancer [SCC] group, 9 in the right colon resection [RCR] group and 6 in the sigmoid colon resection [SCR] group) were collected, and DNA was extracted. After terminal restriction fragment length polymorphism (T-RFLP) analysis, the samples were subjected to 16S rRNA gene amplicon sequencing, and the metabolic function of the microbiota was predicted using PICRUSt2.T-RFLP analysis showed a reduced ratio of clostridial cluster XIVa in the SCC patients and clostridial cluster IX in the RCC patients, although these changes were not evident in the RCR or SCR patients. 16S rRNA gene amplicon sequencing demonstrated that the diversity of the gut microbiota in the RCC group was higher than that in the control group, and the diversity in the SCR group was significantly higher than that in the RCR group. Principal coordinate analysis (PCoA) revealed significant differences according to the group. Analyses of the microbiota revealed that Firmicutes was significantly dominant in the RCC group and that the SCC group had a higher abundance of Verrucomicrobia. At the genus level, linear discriminant analysis effect size (LEfSe) revealed several bacteria, such as Ruminococcaceae, Streptococcaceae, Clostridiaceae, Gemellaceae, and Desulfovibrio, in the RCC group and several oral microbiomes in the SCC group. Metabolic function prediction revealed that cholesterol transport- and metabolism-related enzymes were specifically upregulated in the RCC group and that cobalamin metabolism-related enzymes were downregulated in the SCC group.RESULTST-RFLP analysis showed a reduced ratio of clostridial cluster XIVa in the SCC patients and clostridial cluster IX in the RCC patients, although these changes were not evident in the RCR or SCR patients. 16S rRNA gene amplicon sequencing demonstrated that the diversity of the gut microbiota in the RCC group was higher than that in the control group, and the diversity in the SCR group was significantly higher than that in the RCR group. Principal coordinate analysis (PCoA) revealed significant differences according to the group. Analyses of the microbiota revealed that Firmicutes was significantly dominant in the RCC group and that the SCC group had a higher abundance of Verrucomicrobia. At the genus level, linear discriminant analysis effect size (LEfSe) revealed several bacteria, such as Ruminococcaceae, Streptococcaceae, Clostridiaceae, Gemellaceae, and Desulfovibrio, in the RCC group and several oral microbiomes in the SCC group. Metabolic function prediction revealed that cholesterol transport- and metabolism-related enzymes were specifically upregulated in the RCC group and that cobalamin metabolism-related enzymes were downregulated in the SCC group.Gut microbial properties differ between RCC and SCC patients and between right hemicolectomy and sigmoidectomy patients and may contribute to clinical manifestations.CONCLUSIONGut microbial properties differ between RCC and SCC patients and between right hemicolectomy and sigmoidectomy patients and may contribute to clinical manifestations.
Abstract Background Gut pathological microbial imbalance or dysbiosis is closely associated with colorectal cancer. Although there are observable differences in molecular and clinical characteristics between patients with right- and left-sided colon cancer, differences in their gut microbiomes have not been thoroughly investigated. Furthermore, subsequent changes in microbiota status after partial colectomy remain unknown. We examined the human gut microbiota composition to determine its relationship with colon cancer and partial colon resection according to location. Methods Stool samples from forty-one subjects (10 in the control group, 10 in the right-sided colon cancer [RCC] group, 6 in the sigmoid colon cancer [SCC] group, 9 in the right colon resection [RCR] group and 6 in the sigmoid colon resection [SCR] group) were collected, and DNA was extracted. After terminal restriction fragment length polymorphism (T-RFLP) analysis, the samples were subjected to 16S rRNA gene amplicon sequencing, and the metabolic function of the microbiota was predicted using PICRUSt2. Results T-RFLP analysis showed a reduced ratio of clostridial cluster XIVa in the SCC patients and clostridial cluster IX in the RCC patients, although these changes were not evident in the RCR or SCR patients. 16S rRNA gene amplicon sequencing demonstrated that the diversity of the gut microbiota in the RCC group was higher than that in the control group, and the diversity in the SCR group was significantly higher than that in the RCR group. Principal coordinate analysis (PCoA) revealed significant differences according to the group. Analyses of the microbiota revealed that Firmicutes was significantly dominant in the RCC group and that the SCC group had a higher abundance of Verrucomicrobia. At the genus level, linear discriminant analysis effect size (LEfSe) revealed several bacteria, such as Ruminococcaceae, Streptococcaceae, Clostridiaceae, Gemellaceae, and Desulfovibrio, in the RCC group and several oral microbiomes in the SCC group. Metabolic function prediction revealed that cholesterol transport- and metabolism-related enzymes were specifically upregulated in the RCC group and that cobalamin metabolism-related enzymes were downregulated in the SCC group. Conclusion Gut microbial properties differ between RCC and SCC patients and between right hemicolectomy and sigmoidectomy patients and may contribute to clinical manifestations.
ArticleNumber 313
Audience Academic
Author Mizutani, Hiroki
Nakazawa, Yuuichi
Moritani, Isao
Dohi, Kaoru
Shiraki, Katsuya
Inoue, Hidekazu
Suga, Daisuke
Fukui, Shunsuke
Shimada, Yasuaki
Yamanaka, Yutaka
Nishiura, Yuuki
Takaba, Kei
Kobayashi, Mayu
Kawasaki, Yuuya
Nakagawa, Hayato
Ojima, Eiki
Wada, Hideo
Mohri, Yasuhiko
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Cites_doi 10.3892/or.2015.4398
10.1136/bmjopen-2015-008702
10.1371/journal.pone.0105592
10.1159/000477890
10.1016/j.diabres.2020.108645
10.1016/j.tim.2020.01.001
10.1136/gutjnl-2015-309595
10.1371/journal.pcbi.1000465
10.12938/bmfh.2020-054
10.1016/j.cmet.2015.07.007
10.7554/eLife.37420
10.1186/s12876-015-0330-2
10.1128/AEM.69.2.1251-1262.2003
10.1007/s00430-018-0542-5
10.3390/microorganisms9051108
10.1053/j.gastro.2019.06.048
10.1128/AEM.00759-10
10.1371/journal.pone.0009085
10.1038/s41591-019-0405-7
10.12938/bifidus.25.99
10.1111/j.1574-6968.2009.01514.x
10.1186/gb-2011-12-6-r60
10.1016/j.semcancer.2021.03.037
10.1016/S1470-2045(18)30952-5
10.3389/fmicb.2016.00979
10.1186/s12885-019-5644-y
10.4161/gmic.1.3.12360
10.1002/ijc.23299
10.1038/nmeth.f.303
10.1038/ismej.2012.158
10.1038/s41522-017-0040-3
10.1038/nrmicro2819
10.1093/jnci/djt300
10.12659/MSM.904220
10.1093/jn/132.5.1012
10.14740/gr1062w
10.1159/000510944
10.1002/ijc.30168
10.1371/journal.pone.0218436
10.1038/nrgastro.2016.165
10.1136/gutjnl-2011-300865
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References S Zhang (2382_CR17) 2021; 172
I Allali (2382_CR36) 2018; 207
P Van den Abbeele (2382_CR29) 2013; 7
H Nakagawa-Senda (2382_CR39) 2019; 19
M Yamauchi (2382_CR9) 2012; 61
JL Drewes (2382_CR37) 2017; 3
N Larsen (2382_CR19) 2010; 5
P Louis (2382_CR18) 2009; 294
JG Caporaso (2382_CR24) 2010; 7
N Segata (2382_CR27) 2011; 12
K Nagashima (2382_CR21) 2003; 69
C Kasai (2382_CR7) 2016; 35
Y Ye (2382_CR26) 2009; 5
G De Renzi (2382_CR11) 2021; 99
P Van den Abbeele (2382_CR28) 2010; 76
B Baran (2382_CR10) 2018; 11
SJ O'Keefe (2382_CR2) 2016; 13
M Song (2382_CR3) 2020; 158
AB Jensen (2382_CR15) 2015; 5
SA Broitman (2382_CR42) 1993; 17
M Oya (2382_CR30) 2021; 40
AM Thomas (2382_CR40) 2019; 25
S Ussar (2382_CR16) 2015; 22
Q Sheng (2382_CR8) 2019; 18
XH Lin (2382_CR20) 2019; 14
K Nagashima (2382_CR22) 2006; 25
C Kasai (2382_CR25) 2015; 15
O Phipps (2382_CR13) 2021; 9
XJ Shen (2382_CR6) 2010; 1
C Wang (2382_CR41) 2017; 42
D Ternes (2382_CR4) 2020; 28
B Flemer (2382_CR12) 2017; 66
H Tjalsma (2382_CR1) 2012; 10
JL McQuade (2382_CR35) 2019; 20
AM Dahlin (2382_CR43) 2008; 122
J Yu (2382_CR38) 2016; 139
F Wang (2382_CR5) 2021
K Xu (2382_CR33) 2017; 23
AB Jensen (2382_CR14) 2018; 7
J Ahn (2382_CR34) 2013; 105
S Takahashi (2382_CR23) 2014; 9
A Rivière (2382_CR31) 2016; 7
BF Hinnebusch (2382_CR32) 2002; 132
References_xml – volume: 35
  start-page: 325
  issue: 1
  year: 2016
  ident: 2382_CR7
  publication-title: Oncol Rep
  doi: 10.3892/or.2015.4398
– volume: 5
  issue: 12
  year: 2015
  ident: 2382_CR15
  publication-title: BMJ Open
  doi: 10.1136/bmjopen-2015-008702
– volume: 9
  issue: 8
  year: 2014
  ident: 2382_CR23
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0105592
– volume: 42
  start-page: 729
  issue: 2
  year: 2017
  ident: 2382_CR41
  publication-title: Cell Physiol Biochem
  doi: 10.1159/000477890
– volume: 172
  year: 2021
  ident: 2382_CR17
  publication-title: Diabetes Res Clin Pract
  doi: 10.1016/j.diabres.2020.108645
– volume: 28
  start-page: 401
  issue: 5
  year: 2020
  ident: 2382_CR4
  publication-title: Trends Microbiol
  doi: 10.1016/j.tim.2020.01.001
– volume: 66
  start-page: 633
  issue: 4
  year: 2017
  ident: 2382_CR12
  publication-title: Gut
  doi: 10.1136/gutjnl-2015-309595
– volume: 17
  start-page: 1
  issue: 1
  year: 1993
  ident: 2382_CR42
  publication-title: Prog Food Nutr Sci
– volume: 5
  issue: 8
  year: 2009
  ident: 2382_CR26
  publication-title: PLoS Comput Biol
  doi: 10.1371/journal.pcbi.1000465
– volume: 40
  start-page: 168
  issue: 4
  year: 2021
  ident: 2382_CR30
  publication-title: Biosci Microbiota Food Health
  doi: 10.12938/bmfh.2020-054
– volume: 22
  start-page: 516
  issue: 3
  year: 2015
  ident: 2382_CR16
  publication-title: Cell Metab
  doi: 10.1016/j.cmet.2015.07.007
– volume: 7
  year: 2018
  ident: 2382_CR14
  publication-title: Elife
  doi: 10.7554/eLife.37420
– volume: 15
  start-page: 100
  year: 2015
  ident: 2382_CR25
  publication-title: BMC Gastroenterol
  doi: 10.1186/s12876-015-0330-2
– volume: 69
  start-page: 1251
  issue: 2
  year: 2003
  ident: 2382_CR21
  publication-title: Appl Environ Microbiol
  doi: 10.1128/AEM.69.2.1251-1262.2003
– volume: 207
  start-page: 211
  issue: 3–4
  year: 2018
  ident: 2382_CR36
  publication-title: Med Microbiol Immunol
  doi: 10.1007/s00430-018-0542-5
– volume: 9
  start-page: 1108
  issue: 5
  year: 2021
  ident: 2382_CR13
  publication-title: Microorganisms
  doi: 10.3390/microorganisms9051108
– volume: 158
  start-page: 322
  issue: 2
  year: 2020
  ident: 2382_CR3
  publication-title: Gastroenterology
  doi: 10.1053/j.gastro.2019.06.048
– volume: 76
  start-page: 5237
  issue: 15
  year: 2010
  ident: 2382_CR28
  publication-title: Appl Environ Microbiol
  doi: 10.1128/AEM.00759-10
– volume: 5
  issue: 2
  year: 2010
  ident: 2382_CR19
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0009085
– volume: 25
  start-page: 667
  issue: 4
  year: 2019
  ident: 2382_CR40
  publication-title: Nat Med
  doi: 10.1038/s41591-019-0405-7
– volume: 25
  start-page: 99
  issue: 3
  year: 2006
  ident: 2382_CR22
  publication-title: Biosci Microflora
  doi: 10.12938/bifidus.25.99
– volume: 294
  start-page: 1
  issue: 1
  year: 2009
  ident: 2382_CR18
  publication-title: FEMS Microbiol Lett
  doi: 10.1111/j.1574-6968.2009.01514.x
– volume: 12
  start-page: R60
  issue: 6
  year: 2011
  ident: 2382_CR27
  publication-title: Genome Biol
  doi: 10.1186/gb-2011-12-6-r60
– year: 2021
  ident: 2382_CR5
  publication-title: Semin Cancer Biol
  doi: 10.1016/j.semcancer.2021.03.037
– volume: 20
  start-page: e77
  issue: 2
  year: 2019
  ident: 2382_CR35
  publication-title: Lancet Oncol
  doi: 10.1016/S1470-2045(18)30952-5
– volume: 7
  start-page: 979
  year: 2016
  ident: 2382_CR31
  publication-title: Front Microbiol
  doi: 10.3389/fmicb.2016.00979
– volume: 18
  start-page: 4834
  issue: 5
  year: 2019
  ident: 2382_CR8
  publication-title: Oncol Lett
– volume: 19
  start-page: 431
  issue: 1
  year: 2019
  ident: 2382_CR39
  publication-title: BMC Cancer
  doi: 10.1186/s12885-019-5644-y
– volume: 1
  start-page: 138
  issue: 3
  year: 2010
  ident: 2382_CR6
  publication-title: Gut Microbes
  doi: 10.4161/gmic.1.3.12360
– volume: 122
  start-page: 2057
  issue: 9
  year: 2008
  ident: 2382_CR43
  publication-title: Int J Cancer
  doi: 10.1002/ijc.23299
– volume: 7
  start-page: 335
  issue: 5
  year: 2010
  ident: 2382_CR24
  publication-title: Nat Methods
  doi: 10.1038/nmeth.f.303
– volume: 7
  start-page: 949
  issue: 5
  year: 2013
  ident: 2382_CR29
  publication-title: ISME J
  doi: 10.1038/ismej.2012.158
– volume: 3
  start-page: 34
  year: 2017
  ident: 2382_CR37
  publication-title: NPJ Biofilms Microbiomes
  doi: 10.1038/s41522-017-0040-3
– volume: 10
  start-page: 575
  issue: 8
  year: 2012
  ident: 2382_CR1
  publication-title: Nat Rev Microbiol
  doi: 10.1038/nrmicro2819
– volume: 105
  start-page: 1907
  issue: 24
  year: 2013
  ident: 2382_CR34
  publication-title: J Natl Cancer Inst
  doi: 10.1093/jnci/djt300
– volume: 23
  start-page: 4422
  year: 2017
  ident: 2382_CR33
  publication-title: Med Sci Monit
  doi: 10.12659/MSM.904220
– volume: 132
  start-page: 1012
  issue: 5
  year: 2002
  ident: 2382_CR32
  publication-title: J Nutr
  doi: 10.1093/jn/132.5.1012
– volume: 11
  start-page: 264
  issue: 4
  year: 2018
  ident: 2382_CR10
  publication-title: Gastroenterol Res
  doi: 10.14740/gr1062w
– volume: 99
  start-page: 135
  issue: 3
  year: 2021
  ident: 2382_CR11
  publication-title: Oncology
  doi: 10.1159/000510944
– volume: 139
  start-page: 1318
  issue: 6
  year: 2016
  ident: 2382_CR38
  publication-title: Int J Cancer
  doi: 10.1002/ijc.30168
– volume: 14
  issue: 6
  year: 2019
  ident: 2382_CR20
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0218436
– volume: 13
  start-page: 691
  issue: 12
  year: 2016
  ident: 2382_CR2
  publication-title: Nat Rev Gastroenterol Hepatol
  doi: 10.1038/nrgastro.2016.165
– volume: 61
  start-page: 847
  issue: 6
  year: 2012
  ident: 2382_CR9
  publication-title: Gut
  doi: 10.1136/gutjnl-2011-300865
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Snippet Background Gut pathological microbial imbalance or dysbiosis is closely associated with colorectal cancer. Although there are observable differences in...
Gut pathological microbial imbalance or dysbiosis is closely associated with colorectal cancer. Although there are observable differences in molecular and...
Abstract Background Gut pathological microbial imbalance or dysbiosis is closely associated with colorectal cancer. Although there are observable differences...
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SubjectTerms 16S rRNA gene amplicon sequencing
Analysis
Bacteria
Cancer
Care and treatment
Cholesterol
Colectomy
Colon cancer
Colorectal cancer
Colorectal carcinoma
Colorectal surgery
Diabetes
Diagnosis
Discriminant analysis
Disease
Dysbacteriosis
Enzymes
Feces
Gastroenterology
Gene amplification
Gene polymorphism
Genetic aspects
Genetic polymorphisms
Gut microbiota
Health aspects
Intestinal microflora
Laboratories
Lipid metabolism
Metabolic disorders
Microbiomes
Microbiota
Microbiota (Symbiotic organisms)
Mutation
Pathogenesis
Patient outcomes
Patients
Phylogenetics
Restriction fragment length polymorphism
Ribosomal RNA
Risk factors
rRNA 16S
Software
T-RFLP
Tumors
Vitamin B12
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Title The gut microbiota composition in patients with right- and left-sided colorectal cancer and after curative colectomy, as analyzed by 16S rRNA gene amplicon sequencing
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