Risk of Colorectal Cancer Linked to Composition of the Gut Microbiome
|
By LabMedica International staff writers Posted on 17 Dec 2013 |
The composition of the community of bacteria living in the digestive tract has been linked to the risk of developing colorectal cancer (CRC).
Colorectal cancer is diagnosed in about 143,000 Americans annually with nearly 51,000 fatalities, making it second only to lung cancer in the number of deaths caused each year. However, it is not well understood why colorectal cancer develops.
Investigators at the New York University School of Medicine (NY, USA) tested the hypothesis that an altered community of gut microbes was associated with risk of developing CRC. To this end, they compared the DNA composition of intestinal microbes in the stool samples of 47 CRC patients and 94 healthy volunteers.
16S rRNA genes in fecal bacterial DNA were amplified by universal primers, sequenced by Roche (Basel, Switzerland) 454 FLX technology, and aligned for taxonomic classification to microbial genomes using the QIIME protocol.
QIIME, which stands for Quantitative Insights into Microbial Ecology, is an open source software package for comparison and analysis of microbial communities, primarily based on high-throughput amplicon sequencing data generated on a variety of platforms, but also supporting analysis of other types of data. QIIME chaperones users from their raw sequencing output through initial analyses such as OTU (operational taxonomic unit) picking, taxonomic assignment, and construction of phylogenetic trees from representative sequences of OTUs, and through downstream statistical analysis, visualization, and production of publication-quality graphics. QIIME has been applied to studies based on billions of sequences from thousands of samples.
Taxonomic differences identified in this study were confirmed by quantitative polymerase chain reaction (qPCR) and adjusted for false discovery rate. Data from 794,217 16S rRNA gene sequences revealed that CRC case subjects had decreased overall microbial community diversity. In taxonomy-based analyses, lower relative abundance of Clostridia and increased carriage of Fusobacterium and Porphyromonas were found in case subjects compared with control subjects. Clostridia include some bacterial family members that ferment dietary fiber to butyrate, which is a major colonic metabolite that may inhibit inflammation and carcinogenesis in the colon, while Fusobacterium and Porphyromonas are related to inflammation in the mouth and gastrointestinal track.
"Our findings are important because identification of these microbes may open the door for colorectal cancer prevention and treatment," said first author Dr. Jiyoung Ahn, assistant professor of population health at the New York University School of Medicine. "Our next step is to study how diet and lifestyle factors modulate these gut bacteria associated with colorectal cancer. This may lead to ways to prevent this disease."
The paper was published in the December 6, 2013, online edition of the Journal of the [US] National Cancer Institute.
Related Links:
New York University School of Medicine
Roche
QIIME
Colorectal cancer is diagnosed in about 143,000 Americans annually with nearly 51,000 fatalities, making it second only to lung cancer in the number of deaths caused each year. However, it is not well understood why colorectal cancer develops.
Investigators at the New York University School of Medicine (NY, USA) tested the hypothesis that an altered community of gut microbes was associated with risk of developing CRC. To this end, they compared the DNA composition of intestinal microbes in the stool samples of 47 CRC patients and 94 healthy volunteers.
16S rRNA genes in fecal bacterial DNA were amplified by universal primers, sequenced by Roche (Basel, Switzerland) 454 FLX technology, and aligned for taxonomic classification to microbial genomes using the QIIME protocol.
QIIME, which stands for Quantitative Insights into Microbial Ecology, is an open source software package for comparison and analysis of microbial communities, primarily based on high-throughput amplicon sequencing data generated on a variety of platforms, but also supporting analysis of other types of data. QIIME chaperones users from their raw sequencing output through initial analyses such as OTU (operational taxonomic unit) picking, taxonomic assignment, and construction of phylogenetic trees from representative sequences of OTUs, and through downstream statistical analysis, visualization, and production of publication-quality graphics. QIIME has been applied to studies based on billions of sequences from thousands of samples.
Taxonomic differences identified in this study were confirmed by quantitative polymerase chain reaction (qPCR) and adjusted for false discovery rate. Data from 794,217 16S rRNA gene sequences revealed that CRC case subjects had decreased overall microbial community diversity. In taxonomy-based analyses, lower relative abundance of Clostridia and increased carriage of Fusobacterium and Porphyromonas were found in case subjects compared with control subjects. Clostridia include some bacterial family members that ferment dietary fiber to butyrate, which is a major colonic metabolite that may inhibit inflammation and carcinogenesis in the colon, while Fusobacterium and Porphyromonas are related to inflammation in the mouth and gastrointestinal track.
"Our findings are important because identification of these microbes may open the door for colorectal cancer prevention and treatment," said first author Dr. Jiyoung Ahn, assistant professor of population health at the New York University School of Medicine. "Our next step is to study how diet and lifestyle factors modulate these gut bacteria associated with colorectal cancer. This may lead to ways to prevent this disease."
The paper was published in the December 6, 2013, online edition of the Journal of the [US] National Cancer Institute.
Related Links:
New York University School of Medicine
Roche
QIIME
Latest Molecular Diagnostics News
- World’s First Portable POC Test Simultaneously Detects Four Common STIs in One Hour
- Simple One-Hour Saliva Test Detects Common Cancers
- Blood Test Could Help Guide Treatment Decisions in Germ Cell Tumors
- Blood Test Could Spot Common Post-Surgery Condition Early
- New Blood Test Can Help Predict Testicular Cancer Recurrence
- New Test Detects Alzheimer’s by Analyzing Altered Protein Shapes in Blood
- New Diagnostic Markers for Multiple Sclerosis Discovered in Cerebrospinal Fluid
- Cell-Free DNA Predicts Bloodstream Infections in Children with Leukemia
- Study Uses Blood Samples to Identify Diseases Years Before They Start
- MicroRNA-Based Method Predicts CKD and Cardiovascular Risk
- Swab Test Helps Transplant Patients Receive Right Anti-Rejection Medication Dose
- Blood Test Predicts Which Bladder Cancer Patients May Safely Skip Surgery
- Ultra-Sensitive DNA Test Identifies Relapse Risk in Aggressive Leukemia
- Blood Test Could Help Detect Gallbladder Cancer Earlier
- New Blood Test Score Detects Hidden Alcohol-Related Liver Disease
- New Blood Test Predicts Who Will Most Likely Live Longer
Channels
Clinical Chemistry
view channel
AI Sensor Detects Neurological Disorders Using Single Saliva Drop
Neurological disorders such as Parkinson’s disease and Alzheimer’s disease often develop gradually and present subtle symptoms in their early stages. Because early signs are frequently vague or atypical,... Read moreNew Blood Test Index Offers Earlier Detection of Liver Scarring
Metabolic fatty liver disease is highly prevalent and often silent, yet it can progress to fibrosis, cirrhosis, and liver failure. Current first-line blood test scores frequently return indeterminate results,... Read moreHematology
view channel
Rapid Cartridge-Based Test Aims to Expand Access to Hemoglobin Disorder Diagnosis
Sickle cell disease and beta thalassemia are hemoglobin disorders that often require referral to specialized laboratories for definitive diagnosis, delaying results for patients and clinicians.... Read more
New Guidelines Aim to Improve AL Amyloidosis Diagnosis
Light chain (AL) amyloidosis is a rare, life-threatening bone marrow disorder in which abnormal amyloid proteins accumulate in organs. Approximately 3,260 people in the United States are diagnosed... Read moreImmunology
view channel
Cancer Mutation ‘Fingerprints’ to Improve Prediction of Immunotherapy Response
Cancer cells accumulate thousands of genetic mutations, but not all mutations affect tumors in the same way. Some make cancer cells more visible to the immune system, while others allow tumors to evade... Read more
Immune Signature Identified in Treatment-Resistant Myasthenia Gravis
Myasthenia gravis is a rare autoimmune disorder in which immune attack at the neuromuscular junction causes fluctuating weakness that can impair vision, movement, speech, swallowing, and breathing.... Read more
New Biomarker Predicts Chemotherapy Response in Triple-Negative Breast Cancer
Triple-negative breast cancer is an aggressive form of breast cancer in which patients often show widely varying responses to chemotherapy. Predicting who will benefit from treatment remains challenging,... Read moreBlood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug
Small cell lung cancer (SCLC) is an aggressive disease with limited treatment options, and even newly approved immunotherapies do not benefit all patients. While immunotherapy can extend survival for some,... Read moreMicrobiology
view channel
New Imaging Approach Could Help Predict Dangerous Gut Infection
Clostridioides difficile infections affect roughly half a million people in the United States each year and are a leading cause of infectious diarrhea in healthcare settings. The bacterium can trigger... Read more
Rapid Sequencing Could Transform Tuberculosis Care
Tuberculosis remains the world’s leading cause of death from a single infectious agent, responsible for more than one million deaths each year. Diagnosing and monitoring the disease can be slow because... Read morePathology
view channel
Novel mcPCR Technology to Transform Testing of Clinical Samples
DNA methylation is an important biological marker used in the diagnosis and monitoring of many diseases, including cancer. These chemical modifications to DNA influence gene activity and can reveal early... Read more
Sex Differences in Alzheimer’s Biomarkers Linked to Faster Cognitive Decline
Sex differences in Alzheimer’s disease present ongoing diagnostic challenges, with women often experiencing a disproportionate disease burden even when preclinical amyloid-beta levels are similar to men.... Read moreTechnology
view channel
AI Model Outperforms Clinicians in Rare Disease Detection
Rare diseases affect an estimated 300 million people worldwide, yet diagnosis is often protracted and error-prone. Many conditions present with heterogeneous signs that overlap with common disorders, leading... Read more
AI-Driven Diagnostic Demonstrates High Accuracy in Detecting Periprosthetic Joint Infection
Periprosthetic joint infection (PJI) is a rare but serious complication affecting 1% to 2% of primary joint replacement surgeries. The condition occurs when bacteria or fungi infect tissues around an implanted... Read moreIndustry
view channel
Cepheid Joins CDC Initiative to Strengthen U.S. Pandemic Testing Preparednesss
Cepheid (Sunnyvale, CA, USA) has been selected by the U.S. Centers for Disease Control and Prevention (CDC) as one of four national collaborators in a federal initiative to speed rapid diagnostic technologies... Read more
QuidelOrtho Collaborates with Lifotronic to Expand Global Immunoassay Portfolio
QuidelOrtho (San Diego, CA, USA) has entered a long-term strategic supply agreement with Lifotronic Technology (Shenzhen, China) to expand its global immunoassay portfolio and accelerate customer access... Read more







