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Applying simple linear combination, multiple logistic and factor analysis methods for candidate fecal bacteria as novel biomarkers for early detection of adenomatous polyps and colon cancer.
J Microbiol Methods. 2018 12; 155:82-88.JM

Abstract

BACKGROUND

Colorectal cancer (CRC) is the third leading cause of cancer, and presents a considerable disease burden, worldwide. Recently, the gut microbiota has been proposed as a potential risk factor for CRC, and even adenomatous polyps (AP). Here, the aim of this study was to investigate the role of selected gut bacteria as fecal bacterial biomarkers, in early detection of CRC and AP.

MATERIAL AND METHODS

Fecal samples (n = 93) were collected from Taleghani Hospital, Tehran, Iran, between 2015 and 2017, from normal controls (NC), AP cases and CRC stage I patients, who were undergoing screening for colonoscopy. Absolute quantitative real time PCR (qPCR) assays were established for the quantification of bacterial marker candidates, in all cases and control groups. In order to evaluate the diagnostic value of bacterial candidates in distinguishing CRC from a polyp, receiver operating characteristic curve (ROC) was performed. Multiple logistic regressions were used to find the best combinations of the bacterial candidates, then, combinations were analyzed based on three methods, including linear combination, multiple logistic and factor analysis models.

RESULTS

According to the logistic model, combination of Fusobacterium nucleatum, Enterococcus feacalis, Streptococcus bovis, Enterotoxigenic Bacteroides fragilis (ETBF) and Porphyromonas spp. showed improved diagnostic performance, compared to each bacterium alone, as area under the receiver operating characteristic (AUROC) increases to 0.97, with 95% confidence interval. It was found that a simple linear combination was an appropriate model for discriminating AP and CRC cases, compared to the NC, with a sensitivity of 91.4% and specificity of 93.5%.

CONCLUSION

Our results indicated that based on fecal bacterial candidates, statistical simple linear combination model and ROC curve analysis, early detection of AP and CRC might be possible.

Authors+Show Affiliations

Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.. Electronic address: hamid.assadzadeh@gmail.com.Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.Department of Medical Microbiology, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.Department of Microbiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

30439465

Citation

Rezasoltani, Sama, et al. "Applying Simple Linear Combination, Multiple Logistic and Factor Analysis Methods for Candidate Fecal Bacteria as Novel Biomarkers for Early Detection of Adenomatous Polyps and Colon Cancer." Journal of Microbiological Methods, vol. 155, 2018, pp. 82-88.
Rezasoltani S, Sharafkhah M, Asadzadeh Aghdaei H, et al. Applying simple linear combination, multiple logistic and factor analysis methods for candidate fecal bacteria as novel biomarkers for early detection of adenomatous polyps and colon cancer. J Microbiol Methods. 2018;155:82-88.
Rezasoltani, S., Sharafkhah, M., Asadzadeh Aghdaei, H., Nazemalhosseini Mojarad, E., Dabiri, H., Akhavan Sepahi, A., Modarressi, M. H., Feizabadi, M. M., & Zali, M. R. (2018). Applying simple linear combination, multiple logistic and factor analysis methods for candidate fecal bacteria as novel biomarkers for early detection of adenomatous polyps and colon cancer. Journal of Microbiological Methods, 155, 82-88. https://doi.org/10.1016/j.mimet.2018.11.007
Rezasoltani S, et al. Applying Simple Linear Combination, Multiple Logistic and Factor Analysis Methods for Candidate Fecal Bacteria as Novel Biomarkers for Early Detection of Adenomatous Polyps and Colon Cancer. J Microbiol Methods. 2018;155:82-88. PubMed PMID: 30439465.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Applying simple linear combination, multiple logistic and factor analysis methods for candidate fecal bacteria as novel biomarkers for early detection of adenomatous polyps and colon cancer. AU - Rezasoltani,Sama, AU - Sharafkhah,Maryam, AU - Asadzadeh Aghdaei,Hamid, AU - Nazemalhosseini Mojarad,Ehsan, AU - Dabiri,Hossein, AU - Akhavan Sepahi,Abbas, AU - Modarressi,Mohammad Hossein, AU - Feizabadi,Mohammad Mehdi, AU - Zali,Mohammad Reza, Y1 - 2018/11/12/ PY - 2018/05/31/received PY - 2018/11/10/revised PY - 2018/11/10/accepted PY - 2018/11/16/pubmed PY - 2019/7/2/medline PY - 2018/11/16/entrez KW - Adenomatous polyps KW - Colorectal cancer KW - Fecal bacteria KW - Screening test SP - 82 EP - 88 JF - Journal of microbiological methods JO - J Microbiol Methods VL - 155 N2 - BACKGROUND: Colorectal cancer (CRC) is the third leading cause of cancer, and presents a considerable disease burden, worldwide. Recently, the gut microbiota has been proposed as a potential risk factor for CRC, and even adenomatous polyps (AP). Here, the aim of this study was to investigate the role of selected gut bacteria as fecal bacterial biomarkers, in early detection of CRC and AP. MATERIAL AND METHODS: Fecal samples (n = 93) were collected from Taleghani Hospital, Tehran, Iran, between 2015 and 2017, from normal controls (NC), AP cases and CRC stage I patients, who were undergoing screening for colonoscopy. Absolute quantitative real time PCR (qPCR) assays were established for the quantification of bacterial marker candidates, in all cases and control groups. In order to evaluate the diagnostic value of bacterial candidates in distinguishing CRC from a polyp, receiver operating characteristic curve (ROC) was performed. Multiple logistic regressions were used to find the best combinations of the bacterial candidates, then, combinations were analyzed based on three methods, including linear combination, multiple logistic and factor analysis models. RESULTS: According to the logistic model, combination of Fusobacterium nucleatum, Enterococcus feacalis, Streptococcus bovis, Enterotoxigenic Bacteroides fragilis (ETBF) and Porphyromonas spp. showed improved diagnostic performance, compared to each bacterium alone, as area under the receiver operating characteristic (AUROC) increases to 0.97, with 95% confidence interval. It was found that a simple linear combination was an appropriate model for discriminating AP and CRC cases, compared to the NC, with a sensitivity of 91.4% and specificity of 93.5%. CONCLUSION: Our results indicated that based on fecal bacterial candidates, statistical simple linear combination model and ROC curve analysis, early detection of AP and CRC might be possible. SN - 1872-8359 UR - https://www.unboundmedicine.com/medline/citation/30439465/Applying_simple_linear_combination_multiple_logistic_and_factor_analysis_methods_for_candidate_fecal_bacteria_as_novel_biomarkers_for_early_detection_of_adenomatous_polyps_and_colon_cancer_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0167-7012(18)30448-2 DB - PRIME DP - Unbound Medicine ER -