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Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers
Open accessAbstract
BACKGROUND: Alterations of gut microbiota are associated with colorectal cancer (CRC) in different populations and several bacterial species were found to contribute to the tumorigenesis. The potential use of gut microbes as markers for early diagnosis has also been reported. However, cohort specific noises may distort the structure of microbial dysbiosis in CRC and lead to inconsistent results among studies. In this regard, our study targeted at exploring changes in gut microbiota that are universal across populations at species level. RESULTS: Based on the combined analysis of 526 metagenomic samples from Chinese, Austrian, American, and German and French cohorts, seven CRC-enriched bacteria (Bacteroides fragilis, Fusobacterium nucleatum, Porphyromonas asaccharolytica, Parvimonas micra, Prevotella intermedia, Alistipes finegoldii, and Thermanaerovibrio acidaminovorans) have been identified across populations. The seven enriched bacterial markers classified cases from controls with an area under the receiver-operating characteristics curve (AUC) of 0.80 across the different populations. Abundance correlation analysis demonstrated that CRC-enriched and CRC-depleted bacteria respectively formed their own mutualistic networks, in which the latter was disjointed in CRC. The CRC-enriched bacteria have been found to be correlated with lipopolysaccharide and energy biosynthetic pathways. CONCLUSIONS: Our study identified potential diagnostic bacterial markers that are robust across populations, indicating their potential universal use for non-invasive CRC diagnosis. We also elucidated the ecological networks and functional capacities of CRC-associated microbiota.
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“A meta-analysis of 4 case–control studies of metagenomes of patients with CRC found that Bacteroides fragilis was the only species that was consistently enriched in intestinal microbiomes of patients with CRC worldwide.46”
From Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer (2020) · cites this paper as [46]
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Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
Cortes, C., & Vapnik, V. N. (1995) · Machine Learning · doi:10.1023/a:1022627411411 · Cited by 34,565
Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012
Ferlay, J., Soerjomataram, I., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, D. M., Forman, D., & Bray, F. (2015) · International Journal of Cancer · doi:10.1002/ijc.29210 · Cited by 28,766
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Langille, M. G. I., Zaneveld, J., Caporaso, J. G., McDonald, D., Knights, D., Reyes, J. A., Clemente, J. C., Burkepile, D. E., Vega Thurber, R. L., Knight, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2676 · Cited by 9,116
AFRC, R. F. (1989) · Journal of Applied Bacteriology · doi:10.1111/j.1365-2672.1989.tb05105.x · Cited by 4,831
Kraken: ultrafast metagenomic sequence classification using exact alignments
Wood, D. E., & Salzberg, S. L. (2014) · Genome Biology · doi:10.1186/gb-2014-15-3-r46 · Cited by 4,521
Fixed-and random-effects models in meta-analysis.
Hedges, L. V., & Vevea, J. L. (1998) · Psychological Methods · doi:10.1037/1082-989x.3.4.486 · Cited by 2,977
Inferring Correlation Networks from Genomic Survey Data
Friedman, J., & Alm, E. J. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002687 · Cited by 2,765
Kostic, A. D., Chun, E., Robertson, L., Glickman, J. N., Gallini, C. A., Michaud, M., Clancy, T. E., Chung, D. C., Lochhead, P., Hold, G. L., et al. (2013) · Cell Host & Microbe · doi:10.1016/j.chom.2013.07.007 · Cited by 2,718
Neutrophils in cancer: Neutral no more
Coffelt, S. B., Wellenstein, M. D., & de Visser, K. E. (2016) · Nature reviews. Cancer · doi:10.1038/nrc.2016.52 · Cited by 1,830
Cited by
Sorted by citations
Items 101–200 of 551
Chen, H., Ye, C., Wu, C., Zhang, J., Xu, L., Wang, X., Xu, C., Zhang, J., Guo, Y. X., & Yao, Q. (2023) · International Journal of Biological Sciences · doi:10.7150/ijbs.81824 · Cited by 66
Zhu, L., Song, Y., Liu, H., Wu, M., Gong, H., Lan, H., & Zheng, X. (2021) · Journal of Food Science · doi:10.1111/1750-3841.15684 · Cited by 59
Effects of gut microbiota on immune responses and immunotherapy in colorectal cancer
Hou, X., Zheng, Z., Wei, J., & Zhao, L. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1030745 · Cited by 61
Liu, J., Huang, X., Chen, C., Wang, Z., Huang, Z., Qin, M., He, F., Tang, B., Long, C., Hu, H., et al. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-04119-1 · Cited by 58
Using New Technologies to Analyze Gut Microbiota and Predict Cancer Risk
Hemmati, M. A., Monemi, M., Asli, S., Mohammadi, S., Foroozanmehr, B., Haghmorad, D., Oksenych, V., & Eslami, M. (2024) · Cells · doi:10.3390/cells13231987 · Cited by 58
Intestinal Microbiota in Colorectal Cancer Surgery
Koliarakis, I., Athanasakis, E., Sgantzos, M. N., Mariolis-Sapsakos, T. D., Xynos, E., Chrysos, E., Souglakos, J., & Tsiaoussis, J. (2020) · Cancers · doi:10.3390/cancers12103011 · Cited by 63
Lamprinaki, D., García-Vello, P., Marchetti, R., Hellmich, C., McCord, K. A., Bowles, K. M., Macauley, M. S., Silipo, A., Castro, C. D., Crocker, P. R., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.744184 · Cited by 58
Porphyromonas: A neglected potential key genus in human microbiomes
Guilloux, C.-A., Lamoureux, C., Beauruelle, C., & Héry-Arnaud, G. (2020) · Anaerobe · doi:10.1016/j.anaerobe.2020.102230 · Cited by 56
Plasticity of the adult human small intestinal stoma microbiota
Yılmaz, B., Fuhrer, T., Morgenthaler, D., Krupka, N., Wang, D., Spari, D., Candinas, D., Misselwitz, B., Beldi, G., Sauer, U., et al. (2022) · Cell Host & Microbe · doi:10.1016/j.chom.2022.10.002 · Cited by 57
Gut microbiota in regulatory T cell generation and function: mechanisms and health implications
Sharma, A., Sharma, G., & Im, S. (2025) · Gut Microbes · doi:10.1080/19490976.2025.2516702 · Cited by 68
Mulenga, M., Kareem, S. A., Sabri, A. Q. M., Seera, M., Govind, S. K., Samudi, C., & Mohamad, S. B. (2021) · IEEE Access · doi:10.1109/access.2021.3050838 · Cited by 56
Microbiota-Associated Metabolites and Related Immunoregulation in Colorectal Cancer
Chen, Y., & Chen, Y. (2021) · Cancers · doi:10.3390/cancers13164054 · Cited by 54
Altered gut microbiota of obesity subjects promotes colorectal carcinogenesis in mice
Kang, X., Ng, S.-K., Liu, C., Lin, Y., Zhou, Y., Kwong, T. N. Y., Ni, Y., Lam, T. Y. T., Wu, W. K. K., Wei, H., et al. (2023) · EBioMedicine · doi:10.1016/j.ebiom.2023.104670 · Cited by 56
Young, C., Wood, H. M., Seshadri, R. A., Nang, P. V., Vaccaro, C. A., Contreras, L., Bose, M., Doi, M. V., Piñero, T. A., Valladares, C. T., et al. (2021) · Genome Medicine · doi:10.1186/s13073-021-00844-8 · Cited by 55
Périchon, B., Lichtl-Häfele, J., Bergsten, E., Delage, V., Trieu‐Cuot, P., Sansonetti, P. J., Sobhani, I., & Dramsi, S. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.794391 · Cited by 55
Oral-Intestinal Microbiota in Colorectal Cancer: Inflammation and Immunosuppression
Mo, S., Ru, H., Huang, M., Cheng, L., Mo, X., & Yan, L. (2022) · Journal of Inflammation Research · doi:10.2147/jir.s344321 · Cited by 53
The Gum–Gut Axis: Periodontitis and the Risk of Gastrointestinal Cancers
Baima, G., Ribaldone, D. G., Romano, F., Aimetti, M., & Romandini, M. (2023) · Cancers · doi:10.3390/cancers15184594 · Cited by 55
Jiang, S., Ma, W., Ma, C., Zhang, Z., Zhang, W., & Zhang, J. (2024) · Gut Microbes · doi:10.1080/19490976.2024.2341717 · Cited by 52
Huang, X., Hong, X., Wang, J., Sun, T., Yu, T., Yu, Y., Fang, J., & Xiong, H. (2020) · EBioMedicine · doi:10.1016/j.ebiom.2020.103037 · Cited by 50
The association between gut microbiome and anthropometric measurements in Bangladesh
Osborne, G., Wu, F., Yang, L., Kelly, D., Hu, J., Li, H., Jasmine, F., Kibriya, M. G., Parvez, F., Shaheen, I., et al. (2019) · Gut Microbes · doi:10.1080/19490976.2019.1614394 · Cited by 53
Liang, S., Sin, Z. Y., Yu, J., Zhao, S., Zhang, X., Bruzzone, R., & Tun, H. M. (2022) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-022-04650-2 · Cited by 51
TLR4 May Be Involved in the Regulation of Colonic Mucosal Microbiota by Vitamin A
Lu, X., Chen, B., Feng, D., Yang, T., Li, T., & Chen, J. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00268 · Cited by 47
Porphyromonas gingivalis in Colorectal Cancer and its Association to Patient Prognosis
Kerdreux, M., Edin, S., Löwenmark, T., Bronnec, V., Löfgren‐Burström, A., Zingmark, C., Ljuslinder, I., Palmqvist, R., & Ling, A. (2023) · Journal of Cancer · doi:10.7150/jca.83395 · Cited by 46
Expansion of Colorectal Cancer Biomarkers Based on Gut Bacteria and Viruses
Zhang, J., He, Y., Xia, L., Yi, J., Wang, Z., Zhao, Y., Song, X., Li, J., Liu, H., Liang, X., et al. (2022) · Cancers · doi:10.3390/cancers14194662 · Cited by 45
The Role of Intestinal Microbiota in Colorectal Cancer
Ren, L., Ye, J., Zhao, B. Q., Sun, J., Cao, P., & Yang, Y. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.674807 · Cited by 45
Colorectal cancer screening: A review of current knowledge and progress in research
Lopes, S. R., Martins, C., Santos, I. C., Teixeira, M., Gamito, É., & Alves, A. L. (2024) · World Journal of Gastrointestinal Oncology · doi:10.4251/wjgo.v16.i4.1119 · Cited by 54
Shifts in gut microbiome and metabolome are associated with risk of recurrent atrial fibrillation
Li, J., Zuo, K., Zhang, J., Hu, C., Wang, P., Jiao, J., Liu, Z., Yin, X., Liu, X., Li, K., et al. (2020) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.15959 · Cited by 41
Ariaeenejad, S., Kavousi, K., Mamaghani, A. S. A., Motahar, S. F. S., Nedaei, H., & Salekdeh, G. H. (2021) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2021.02.014 · Cited by 42
Zou, Y., Li, C., Fu, Y., JiZe, X.-P., Zhao, Y., Peng, X., Wang, J., Yin, Z., Li, Y., Song, X., et al. (2023) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2023.124689 · Cited by 44
Bacterial lipopolysaccharide modulates immune response in the colorectal tumor microenvironment
Sulit, A. K., Daigneault, M. C., Allen‐Vercoe, E., Silander, O., Hock, B. D., McKenzie, J., Pearson, J. F., Frizelle, F., Schmeier, S., & Purcell, R. V. (2023) · npj Biofilms and Microbiomes · doi:10.1038/s41522-023-00429-w · Cited by 45
Lin, Y., Lau, H. C.-H., Liu, C., Ding, X., Sun, Y., Rong, J., Zhang, X., Wang, L., Yuan, K., Miao, Y., et al. (2025) · Cell Host & Microbe · doi:10.1016/j.chom.2025.03.012 · Cited by 42
Influence of Iron on the Gut Microbiota in Colorectal Cancer
Phipps, O., Al-Hassi, H. O., Quraishi, M. N., Kumar, A., & Brookes, M. (2020) · Nutrients · doi:10.3390/nu12092512 · Cited by 41
Prediction model of poorly differentiated colorectal cancer (CRC) based on gut bacteria
Zhang, Q., Zhibo, Z., Jing, Z., Zhanbo, Q., Han, S., Weili, J., Jiang, L., & Han, S. (2022) · BMC Microbiology · doi:10.1186/s12866-022-02712-w · Cited by 39
Singh, Y., Trautwein, C., Romani, J., Salker, M. S., Neckel, P. H., Fraccaroli, I., Abeditashi, M., Woerner, N., Admard, J., Dhariwal, A., et al. (2023) · Molecular Neurodegeneration · doi:10.1186/s13024-023-00628-1 · Cited by 41
Ma, C., Chen, K., Wang, Y., Cen, C., Zhai, Q., & Zhang, J. (2021) · Gut Microbes · doi:10.1080/19490976.2020.1869505 · Cited by 39
Young, C., Wood, H. M., Balaguer, A. F., Bottomley, D., Gallop, N., Wilkinson, L., Benton, S. C., Brealey, M., John, C., Burtonwood, C., et al. (2021) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-3807 · Cited by 44
Consideration of Gut Microbiome in Murine Models of Diseases
Zhang, C., Franklin, C. L., & Ericsson, A. C. (2021) · Microorganisms · doi:10.3390/microorganisms9051062 · Cited by 40
Mo, Z., Huang, P., Yang, C., Xiao, S., Zhang, G., Ling, F., & Li, L. (2020) · mSystems · doi:10.1128/msystems.00138-20 · Cited by 39
Intestinal Macrophages at the Crossroad between Diet, Inflammation, and Cancer
Caprara, G., Allavena, P., & Erreni, M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21144825 · Cited by 38
Trivieri, N., Pracella, R., Cariglia, M. G., Panebianco, C., Parrella, P., Visioli, A., Giani, F., Soriano, A. A., Barile, C., Canistro, G., et al. (2020) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-020-01801-w · Cited by 38
The role of gut microbiota in tumorigenesis and treatment
Xu, J., Liu, M.-T., Tao, T., Zhu, X. M., & Fei, F. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.111444 · Cited by 41
Early-Life Gut Microbiota Governs Susceptibility to Colitis via Microbial-Derived Ether Lipids
Liu, Y., Jiao, C., Zhang, T., Li, X., Li, P., Lu, M., Ye, Z., Du, Y., Du, R., Zhang, W., et al. (2023) · Research · doi:10.34133/research.0037 · Cited by 38
Lin, Y., Xu, Z., Yeoh, Y. K., Tun, H. M., Huang, W., Jiang, W., Chan, F. K. L., & Ng, S. C. (2023) · iScience · doi:10.1016/j.isci.2023.106476 · Cited by 43
Oliveira, E. C. S. D., Quaglio, A. E. V., Magro, D. O., Stasi, L. C. D., & Sassaki, L. Y. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24087176 · Cited by 40
The emerging role of bacterial extracellular vesicles in human cancers
Liang, A., Korani, L., Yeung, C. L. S., Tey, S. K., & Yam, J. W. P. (2024) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12521 · Cited by 37
Liu, Y., Li, X., Yang, Y., Liu, Y., Wang, S., Ji, B., & Wei, Y. (2021) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.703638 · Cited by 36
The Impact of the Gut Microbiome, Environment, and Diet in Early-Onset Colorectal Cancer Development
Dai, R., Kelly, B. N., Ike, A., Berger, D. L., Chan, A. T., Drew, D. A., Ljungman, D., Mutiibwa, D., Ricciardi, R., Tumusiime, G., et al. (2024) · Cancers · doi:10.3390/cancers16030676 · Cited by 38
Human intestinal microbiome: Role in health and disease
Cantón, R., Ramos, P. D. L., Botella, A. G., García‐Lledó, A., Hernández‐Sampelayo, T., Gómez‐Pavón, J., del Castillo, J. M. G., Martín-Delgado, M. C., Martín‐Sánchez, F. J., Martínez‐Sellés, M., et al. (2024) · Revista Española de Quimioterapia · doi:10.37201/req/056.2024 · Cited by 36
Acuña-Amador, L., & Barloy-Hubler, F. (2020) · Anaerobe · doi:10.1016/j.anaerobe.2020.102280 · Cited by 35
A Comparison Study of Age and Colorectal Cancer-Related Gut Bacteria
Zhang, Y., Zhang, Q., Wang, Y., Zhang, W., Hu, H., Wu, H., Sheng, X.-Z., Luo, K., Zhang, H., Wang, M., et al. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.606490 · Cited by 36
Global Analysis of Microbiota Signatures in Four Major Types of Gastrointestinal Cancer
Wang, J., Wang, Y., Li, Z., Gao, X., & Huang, D. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.685641 · Cited by 38
Nardelli, C., Granata, I., Nunziato, M., Setaro, M., Carbone, F., Zulli, C., Pilone, V., Capoluongo, E. D., Palma, G. D. D., Corcione, F., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms221910747 · Cited by 36
Metabolic networks of the human gut microbiota
Selber‐Hnatiw, S., Sultana, T., Tse, W., Abdollahi, N., Abdullah, S., Rahbani, J. A., Alazar, D., Alrumhein, N. J., Aprikian, S., Arshad, R., et al. (2019) · Microbiology · doi:10.1099/mic.0.000853 · Cited by 38
HARMONIES: A Hybrid Approach for Microbiome Networks Inference via Exploiting Sparsity
Jiang, S., Xiao, G., Koh, A. Y., Chen, Y., Yao, B., Li, Q., & Zhan, X. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00445 · Cited by 36
Chang, H., Mishra, R., Cen, C., Tang, Y., Ma, C., Wasti, S., Wang, Y., Ou, Q., Chen, K., & Zhang, J. (2021) · Current Microbiology · doi:10.1007/s00284-020-02299-3 · Cited by 35
The Application of High-Throughput Technologies for the Study of Microbiome and Cancer
Wei, L., Cheong, I. H., Yang, G., Li, X. G., Kozlakidis, Z., Ding, L., Liu, N. N., & Wang, H. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.699793 · Cited by 38
Imbalance in gut microbial interactions as a marker of health and disease
López, R. C., Bonachela, J. A., Dominguez-Bello, M. G., Manhart, M., Levin, S. A., Blaser, M. J., & Muñoz, M. A. (2026) · Science · doi:10.1126/science.ady1729 · Cited by 40
Association of the microbiome with colorectal cancer development (Review)
Abdulla, M., Agarwal, D., Singh, J. K., Traiki, T. A. B., Pandey, M. K., Ahmad, R., & Srivastava, S. K. (2021) · International Journal of Oncology · doi:10.3892/ijo.2021.5197 · Cited by 34
Zhuang, Y.-P., Zhou, H., Chen, H., Zheng, M.-Y., Liang, Y., Gu, Y.-T., Li, W., Qiu, W., & Zhou, H. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.115040 · Cited by 34
Zeamer, A. L., Salive, M.-C., An, X., Beaudoin, F. L., House, S. L., Stevens, J. S., Zeng, D., Neylan, T. C., Clifford, G. D., Linnstaedt, S. D., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02643-8 · Cited by 34
Masheghati, F., Asgharzadeh, M. R., Jafari, A., Masoudi, N., & Maleki, H. (2024) · Life Sciences · doi:10.1016/j.lfs.2024.122529 · Cited by 36
Zhou, Z., Ge, S., Li, Y., Ma, W., Liu, Y., Hu, S., Zhang, R., Ma, Y., Du, K., Syed, A., et al. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.596027 · Cited by 33
Shen, X., Li, J., Li, J., Zhang, Y., Li, X., Cui, Y., Gao, Q., Chen, X., Chen, Y., & Fang, J. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.661048 · Cited by 33
Shang, F., Jiang, X., Wang, H., Guo, S., Kang, S., Xu, B., Wang, X., Chen, S., Li, N., Liu, B., et al. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1327464 · Cited by 33
Pötgens, S. A., Havelange, V., Lecop, S., Li, F., Neyrinck, A. M., Bindels, F., Neveux, N., Demoulin, J., Moors, I., Kerre, T. C. C., et al. (2024) · Haematologica · doi:10.3324/haematol.2023.284138 · Cited by 33
Saha, B., Rithi, A. T., Adhikary, S., Banerjee, A., Radhakrishnan, A., Duttaroy, A. K., & Pathak, S. (2024) · Nutrition and Cancer · doi:10.1080/01635581.2024.2367266 · Cited by 39
Shah, M. S., DeSantis, T. Z., Yamal, J., Weir, T. L., Ryan, E. P., Cope, J. L., & Hollister, E. B. (2018) · PLoS ONE · doi:10.1371/journal.pone.0207002 · Cited by 33
Multi-Omics Analysis Reveals Intratumor Microbes as Immunomodulators in Colorectal Cancer
Liu, Z., Zhang, X., Zhang, H., Zhang, H., Yi, Z., Zhang, Q., Liu, Q., & Liu, X. (2023) · Microbiology Spectrum · doi:10.1128/spectrum.05038-22 · Cited by 31
Emerging Relationship between the Gut Microbiome and Prostate Cancer
Matsushita, M., Fujita, K., Hatano, K., Velasco, M. A. D., Tsujimura, A., Uemura, H., & Nonomura, N. (2023) · The World Journal of Men s Health · doi:10.5534/wjmh.220202 · Cited by 34
Lin, C., Li, B., Tu, C., Chen, X., & Guo, M. (2022) · BioMed Research International · doi:10.1155/2022/3140070 · Cited by 31
RetractedObón‐Santacana, M., Mas-Lloret, J., Bars‐Cortina, D., Criado‐Mesas, L., Carreras‐Torres, R., Díez-Villanueva, A., Moratalla-Navarro, F., Guinó, E., Ibáñez‐Sanz, G., Alonso, L. R., et al. (2022) · Cancers · doi:10.3390/cancers14174214 · Cited by 31
The oral-gut-circulatory axis: from homeostasis to colon cancer
Tortora, S. C., Agurto, M. I. G., & Martello, L. A. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2023.1289452 · Cited by 34
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Han, H., Zhang, Y., Tang, H., Zhou, T., & Khan, A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25073896 · Cited by 33
Yoon, H., Kim, N.-E., Park, J., Shin, C. M., Kim, N., Lee, D. H., Park, J. Y., Choi, C. H., Kim, J. G., & Park, Y. S. (2022) · The Korean Journal of Internal Medicine · doi:10.3904/kjim.2022.112 · Cited by 31
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Benešová, I., Křížová, Ľ., & Kverka, M. (2023) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-023-05244-6 · Cited by 34
Rastogi, Y. R., Saini, A. K., Thakur, V. K., & Saini, R. V. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21093212 · Cited by 32
Hwang, S., Yi, H. C., Hwang, S., Jo, M., & Rhee, K. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21218034 · Cited by 30
Mutignani, M., Penagini, R., Gargari, G., Guglielmetti, S., Cintolo, M., Airoldi, A., Leone, P., Carnevali, P., Ciafardini, C., Petrocelli, G., et al. (2021) · Cancers · doi:10.3390/cancers13246363 · Cited by 34
Privitera, G., Rana, N., Scaldaferri, F., Armuzzi, A., & Pizarro, T. T. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.806680 · Cited by 30
Honarbakhsh, M., Malta, K., Ericsson, A. C., Holloway, C., Kim, Y., Hämmerling, U., & Quadro, L. (2022) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2022.159122 · Cited by 32
Higashi, D. L., Krieger, M., Qin, H., Zou, Z., Palmer, E. A., Kreth, J., & Merritt, J. L. (2023) · Environmental Microbiology Reports · doi:10.1111/1758-2229.13153 · Cited by 29
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Löwenmark, T., Löfgren‐Burström, A., Zingmark, C., Ljuslinder, I., Dahlberg, M. L., Edin, S., & Palmqvist, R. (2022) · Cancers · doi:10.3390/cancers14235937 · Cited by 30
Salivary and fecal microbiota: potential new biomarkers for early screening of colorectal polyps
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Li, J., Zhu, Y., Yang, L., & Wang, Z. (2022) · Discover Oncology · doi:10.1007/s12672-022-00517-x · Cited by 29
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Huang, J., & Mao, Y. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.1029033 · Cited by 27
Chan, F. K. L., Wong, M. C. S., Chan, A. T., East, J. E., Chiu, H., Makharia, G. K., Weller, D., Ooi, C. J., Limsrivilai, J., Saito, Y., et al. (2023) · Gut · doi:10.1136/gutjnl-2023-329429 · Cited by 28
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Jiang, S., Wang, T., & Zhang, K.-H. (2023) · BioMedical Engineering OnLine · doi:10.1186/s12938-023-01148-1 · Cited by 29
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da Costa, C. P., Vieira, P. F., Mendes-Rocha, M., Pereira‐Marques, J., Ferreira, R. M., & Figueiredo, C. (2022) · Cancers · doi:10.3390/cancers14143385 · Cited by 29
Comparison of microbiome samples: methods and computational challenges
Comin, M., Camillo, B. D., Pizzi, C., & Vandin, F. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa121 · Cited by 29
Kim, M., Lee, S., Choi, S., Lee, H., Kwon, S. S., Byun, J., Kim, Y. A., Rhee, K., Choi, J. R., Kim, T. I., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-76467-7 · Cited by 25
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Wallenborn, J. T., & Vonaesch, P. (2022) · Gastroenterology report · doi:10.1093/gastro/goac010 · Cited by 26
Liu, J., Wang, X., Xie, H., Zhong, Q., & Xia, Y. (2022) · Genome · doi:10.1139/gen-2021-0120 · Cited by 25
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Metadata
- Authors
- Dai, Z., Coker, O. O., Nakatsu, G., Wu, W. K. K., Zhao, L., Chen, Z., Chan, F. K. L., Kristiansen, K., Sung, J. J. Y., Wong, S. H., & Yu, J.
- Affiliations
- Chinese University of Hong Kong (HK)
- BGI Group (China) (CN)
- Corresponding author
- Wong, Sunny Hei
- Yu, Jun
- ORCID
- Venue
- Microbiome
- Published
- 2018-04-11
- Volume
- 6
- Issue
- 1
- Pages
- 70-70
- ISSN
- 2049-2618 (ISSN-L)
- PMC
- PMC5896039
- OpenAlex
- W2796803893
- Cited by
- 545
- References
- 54
- Citations by year
- 2026: 43 · 2025: 70 · 2024: 99 · 2023: 97 · 2022: 67 · 2021: 78 · 2020: 53 · 2019: 29 · 2018: 8
- FWCI
- 14.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Microbiome (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- RGC-GRF (766613, 14106145, 14111216)
- 135 Program Project China (2016YFC1303200)
- 973 Program China (2013CB531401)
- National Key Technology R&D Program (2014BAI09B05)
- Shenzhen Virtual University Park Support Scheme to CUHK Shenzhen Research Institute
- Croucher Foundation
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Health Sciences › Medicine › Infectious Diseases › Clostridium difficile and Clostridium perfringens research
- Keywords
- colorectal cancer, gut microbiota, metagenomics, bacterial markers, Bacteroides fragilis, Fusobacterium nucleatum, Porphyromonas asaccharolytica, Parvimonas micra, Prevotella intermedia, Alistipes finegoldii, dysbiosis, microbial co-occurrence networks, non-invasive cancer diagnosis
- MeSH terms
- Gastrointestinal Microbiome, Aged, Bacteria, Cell Transformation, Neoplastic, Female, Humans, Male, Middle Aged, Colorectal Neoplasms, Computational Biology, Metagenome, Metagenomics, Gene Ontology
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