4.2 Article

Optimizing fecal occult blood test (FOBT) colorectal cancer screening using gut bacteriome as a biomarker

Related references

Note: Only part of the references are listed.
Article Oncology

Machine learning-based colorectal cancer prediction using global dietary data

Hanif Abdul Rahman et al.

Summary: This study aimed to evaluate machine learning algorithms in large-scale datasets, taking into account both younger and older adults from various regions and sociodemographics. The study found that a prediction model based on an artificial neural network performed well in predicting CRC and non-CRC phenotypes.

BMC CANCER (2023)

Editorial Material Microbiology

Commensal bacteria fight colorectal cancer

Agustina Taglialegna

Summary: This study reveals that certain bacterial species from the Lachnospiraceae family can hinder the progression of colorectal cancer by regulating the immune surveillance activity of CD8(+) T cells.

NATURE REVIEWS MICROBIOLOGY (2023)

Review Nutrition & Dietetics

Role of the gut microbiome in chronic diseases: a narrative review

Amrita Vijay et al.

EUROPEAN JOURNAL OF CLINICAL NUTRITION (2022)

Article Gastroenterology & Hepatology

Gut microbiota dynamics in a prospective cohort of patients with post-acute COVID-19 syndrome

Qin Liu et al.

Summary: This study investigated the link between gut microbiome composition and post-acute COVID-19 syndrome. The results showed that the gut microbiome of patients with long-term complications of COVID-19 differed significantly from that of non-COVID-19 controls and patients without post-acute COVID-19 syndrome.
Article Multidisciplinary Sciences

A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer

Cowan Ho et al.

Summary: Colorectal cancer is one of the most common cancers worldwide. Researchers have developed a unique artificial intelligence deep learning model to assist in screening for malignant tumors in colorectal specimens, improving cancer detection and classification, and alleviating the workload of pathologists. The model demonstrates high sensitivity and can accurately identify high-risk colorectal features.

SCIENTIFIC REPORTS (2022)

Article Biochemistry & Molecular Biology

Faecalibacterium prausnitzii Ameliorates Colorectal Tumorigenesis and Suppresses Proliferation of HCT116 Colorectal Cancer Cells

Ifeoma Julieth Dikeocha et al.

Summary: This study demonstrated the potential role of F. prausnitzii in the prevention and management of colorectal cancer, showing its anti-tumorigenic and antiproliferative effects, as well as its modulation of gut microbiota diversity in rats.

BIOMEDICINES (2022)

Article Oncology

Mendelian randomization study of causal link from gut microbiota to colorectal cancer

Jing-Jing Ni et al.

Summary: Recent studies have found that the gut microbiota plays a role in the occurrence and development of colorectal cancer (CRC), and this study aimed to assess the causal relationship and identify specific microbe taxa associated with CRC development. The findings identified a specific genus, Blautia, that is causally associated with CRC.

BMC CANCER (2022)

Article Health Care Sciences & Services

Machine-Learning-Based Disease Diagnosis: A Comprehensive Review

Md Manjurul Ahsan et al.

Summary: This paper explores the application of machine learning in the early diagnosis of diseases and conducts a bibliometric analysis to identify the most influential authors, countries, organizations, and articles. It summarizes the recent trends and approaches in machine-learning-based disease diagnosis, considering factors such as algorithms, disease types, data types, applications, and evaluation metrics. The paper highlights key findings and provides insights into future trends and opportunities in the MLBDD area.

HEALTHCARE (2022)

Editorial Material Infectious Diseases

Do Prevotella copri and Blastocystis promote euglycaemia? Comment

Sok-Ja Janket et al.

LANCET MICROBE (2021)

Review Oncology

Gut microbiome and its role in colorectal cancer

Martina Rebersek

Summary: Colorectal cancer is still common worldwide, and the gut microbiome plays a key role in its development. Understanding the composition of bacterial strains influenced by various factors is crucial for screening, early detection, and predicting treatment outcomes. Microbiome modulation is a promising strategy in medicine to improve health outcomes.

BMC CANCER (2021)

Article Oncology

Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

Hyuna Sung et al.

Summary: The global cancer burden in 2020 saw an estimated 19.3 million new cancer cases and almost 10.0 million cancer deaths. Female breast cancer surpassed lung cancer as the most commonly diagnosed cancer, while lung cancer remained the leading cause of cancer death. These trends are expected to rise in 2040, with transitioning countries experiencing a larger increase compared to transitioned countries due to demographic changes and risk factors associated with globalization and a growing economy. Efforts to improve cancer prevention measures and provision of cancer care in transitioning countries will be crucial for global cancer control.

CA-A CANCER JOURNAL FOR CLINICIANS (2021)

Article Multidisciplinary Sciences

Using fecal immunochemical tubes for the analysis of the gut microbiome has the potential to improve colorectal cancer screening

Kertu Liis Krigul et al.

Summary: Colorectal cancer is a challenging public health problem and successful treatment depends on the stage at diagnosis. This study demonstrates that analyzing microbiome in FIT tubes for CRC screening programs is feasible and may improve the sensitivity of CRC detection.

SCIENTIFIC REPORTS (2021)

Review Physiology

Participation of Short-Chain Fatty Acids and Their Receptors in Gut Inflammation and Colon Cancer

Maria Daniella Carretta et al.

Summary: Short-chain fatty acids (SCFAs) produced by bacterial fermentation of dietary fiber play a critical role in maintaining intestinal health, have anti-inflammatory and anti-cancer effects, and signal through various receptors. A fiber-rich diet is associated with reduced risk of colon cancer and clinical benefits for patients with IBD.

FRONTIERS IN PHYSIOLOGY (2021)

Article Oncology

The CRCbiome study: a large prospective cohort study examining the role of lifestyle and the gut microbiome in colorectal cancer screening participants

Ane Sorlie Kvaerner et al.

Summary: The CRCbiome study aims to develop a microbiome-based classification algorithm to identify advanced colorectal lesions in screening participants testing positive for FIT, and will also examine interactions with host factors, diet, lifestyle, and prescription drugs. The prospective nature of the study allows for analysis of changes in the gut microbiome following the removal of precancerous lesions, with the potential to develop microbiome-based screening tools for CRC.

BMC CANCER (2021)

Article Multidisciplinary Sciences

Conversion of dietary inositol into propionate and acetate by commensal Anaerostipes associates with host health

Thi Phuong Nam Bui et al.

Summary: The authors report an anaerobic metabolic pathway in dominant gut butyrogen Anaerostipes, showing strains capable of producing propionate from dietary myo-inositol associated with reduced fasting-glucose levels in mice. They elucidate the inositol conversion to propionate mechanism, identifying propionate-production gene clusters inversely associated with metabolic biomarkers in (pre)diabetes cohorts. Co-administration of myo-inositol with live A. rhamnosivorans in western-diet fed mice reduced fasting-glucose levels compared to heat-killed A. rhamnosivorans.

NATURE COMMUNICATIONS (2021)

Article Multidisciplinary Sciences

Identification of microbial markers across populations in early detection of colorectal cancer

Yuanqi Wu et al.

Summary: The study identifies microbial markers associated with adenoma, aiding in early detection of colorectal cancer (CRC) through integrated analysis of public fecal samples. Classification models constructed based on the markers show promising results in discriminating adenoma from control and CRC, with potential clinical implications in multi-population settings.

NATURE COMMUNICATIONS (2021)

Article Oncology

Fecal Bacteria as Non-Invasive Biomarkers for Colorectal Adenocarcinoma

Biao Yuan et al.

Summary: CRC is one of the top five lethal malignant tumors globally and in China, and early diagnosis and treatment are crucial for improving survival rates. The gut microbiome could serve as a potential non-invasive screening tool for CRC, with a few specific bacteria genus identified as effective biomarkers for clinical use. Analysis of gut microbiome composition in CRC patients versus healthy controls showed significant differences, with 13 bacteria identified as biomarkers with high sensitivity and specificity for discriminating CRC patients. This method has the potential to be a non-invasive approach for early diagnosis of CRC.

FRONTIERS IN ONCOLOGY (2021)

Review Microbiology

Preventing Colorectal Cancer through Prebiotics

Manijeh Mahdavi et al.

Summary: Colorectal cancer (CRC), the third most common cancer globally, is on the rise in emerging countries due to factors like lack of physical activity and poor diet brought on by industrialization. Prebiotics, which can help maintain gut microbial balance and mitigate dysbiosis, may be beneficial in preventing inflammation and CRC development.

MICROORGANISMS (2021)

Article Oncology

Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data

Hui Li et al.

Summary: This study developed a diagnostic method for colorectal cancer (CRC) using a machine learning model based on CEA, HGB, Lp(a), and HDL. The logistic regression model performed the best in identifying CRC and could serve as a noninvasive and cost-effective approach for CRC identification.

TECHNOLOGY IN CANCER RESEARCH & TREATMENT (2021)

Review Gastroenterology & Hepatology

Strategies for Colorectal Cancer Screening

Uri Ladabaum et al.

GASTROENTEROLOGY (2020)

Review Immunology

The Intestinal Microbiota and Colorectal Cancer

Yiwen Cheng et al.

FRONTIERS IN IMMUNOLOGY (2020)

Article Gastroenterology & Hepatology

Microbial dysbiosis in irritable bowel syndrome: A single-center metagenomic study in Saudi Arabia

Ibrahim Masoodi et al.

JGH OPEN (2020)

Article Computer Science, Information Systems

Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification

Bradley J. Nartowt et al.

FRONTIERS IN BIG DATA (2020)

Review Biology

Microbiome data science

Sudarshan A. Shetty et al.

JOURNAL OF BIOSCIENCES (2019)

Article Biotechnology & Applied Microbiology

Blautia genus associated with visceral fat accumulation in adults 20-76 years of age

Naoki Ozato et al.

NPJ BIOFILMS AND MICROBIOMES (2019)

Article Gastroenterology & Hepatology

Evaluating gut microbiota profiles from archived fecal samples

Trine B. Rounge et al.

BMC GASTROENTEROLOGY (2018)

Article Gastroenterology & Hepatology

Global patterns and trends in colorectal cancer incidence and mortality

Melina Arnold et al.

Review Infectious Diseases

Gut microbiota and colorectal cancer

R. Gao et al.

EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES (2017)

Article Biochemical Research Methods

DADA2: High-resolution sample inference from Illumina amplicon data

Benjamin J. Callahan et al.

NATURE METHODS (2016)

Article Genetics & Heredity

An expansion of rare lineage intestinal microbes characterizes rheumatoid arthritis

Jun Chen et al.

GENOME MEDICINE (2016)

Review Biochemistry & Molecular Biology

Machine learning applications in cancer prognosis and prediction

Konstantina Kourou et al.

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2015)

Article Oncology

The Human Gut Microbiome as a Screening Tool for Colorectal Cancer

Joseph P. Zackular et al.

CANCER PREVENTION RESEARCH (2014)

Review Microbiology

Microbes, Microbiota, and Colon Cancer

Cynthia L. Sears et al.

CELL HOST & MICROBE (2014)

Article Multidisciplinary Sciences

Human Intestinal Lumen and Mucosa-Associated Microbiota in Patients with Colorectal Cancer

Weiguang Chen et al.

PLOS ONE (2012)

Article Computer Science, Interdisciplinary Applications

Building Predictive Models in R Using the caret Package

Max Kuhn

JOURNAL OF STATISTICAL SOFTWARE (2008)

Article Statistics & Probability

Regularization and variable selection via the elastic net

H Zou et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)