Fusobacterium nucleatum and T Cells in Colorectal Carcinoma

Study information

Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/31

study design

cross-sectional observational, not case-control

Citation

PMID PubMed identifier for scientific articles.

26181352

DOI Digital object identifier for electronic documents.

10.1001/jamaoncol.2015.1377

URI

Authors

Mima K, Sukawa Y, Nishihara R, Qian ZR, Yamauchi M, Inamura K, Kim SA, Masuda A, Nowak JA, Nosho K, Kostic AD, Giannakis M, Watanabe H, Bullman S, Milner DA, Harris CC, Giovannucci E, Garraway LA, Freeman GJ, Dranoff G, Chan AT, Garrett WS, Huttenhower C, Fuchs CS, Ogino S

Journal

JAMA oncology

Year

2015

IMPORTANCE: Evidence indicates a complex link between gut microbiome, immunity, and intestinal tumorigenesis. To target the microbiota and immunity for colorectal cancer prevention and therapy, a better understanding of the relationship between microorganisms and immune cells in the tumor microenvironment is needed. Experimental evidence suggests that Fusobacterium nucleatum may promote colonic neoplasia development by downregulating antitumor T cell-mediated adaptive immunity. OBJECTIVE: To test the hypothesis that a greater amount of F nucleatum in colorectal carcinoma tissue is associated with a lower density of T cells in tumor tissue. DESIGN, SETTING, AND PARTICIPANTS: A cross-sectional analysis was conducted on 598 rectal and colon carcinoma cases in 2 US nationwide prospective cohort studies with follow-up through 2006, the Nurses' Health Study (participants enrolled in 1976) and the Health Professionals Follow-up Study (participants enrolled in 1986). Tissue collection and processing were performed from 2002 through 2008, and immunity assessment, 2008 through 2009. From 2013 through 2014, the amount of F nucleatum in colorectal carcinoma tissue was measured by quantitative polymerase chain reaction assay; we equally dichotomized positive cases (high vs low). Multivariable ordinal logistic regression analysis was conducted in 2014 to assess associations of the amount of F nucleatum with densities (quartiles) of T cells in tumor tissue, controlling for clinical and tumor molecular features, including microsatellite instability, CpG island methylator phenotype, long interspersed nucleotide element-1 (LINE-1) methylation, and KRAS, BRAF, and PIK3CA mutation status. We adjusted the 2-sided α level to .013 for multiple hypothesis testing. MAIN OUTCOMES AND MEASURES: Densities of CD3+, CD8+, CD45RO (protein tyrosine phosphatase receptor type C [PTPRC])+, and FOXP3+ T cells in tumor tissue, determined by means of tissue microarray immunohistochemical analysis and computer-assisted image analysis. RESULTS: F nucleatum was detected in colorectal carcinoma tissue in 76 (13%) of 598 cases. Compared with F nucleatum-negative cases, F nucleatum-high cases were inversely associated with the density of CD3+ T cells (for a unit increase in quartile categories of CD3+ T cells as an outcome: multivariable odds ratio, 0.47 [95% CI, 0.26-0.87]; P for trend = .006). The amount of F nucleatum was not significantly associated with the density of CD8+, CD45RO+, or FOXP3+ T cells (P fortrend = .24, .88, and .014, respectively). CONCLUSIONS AND RELEVANCE: The amount of tissue F nucleatum is inversely associated with CD3+ T-cell density in colorectal carcinoma tissue. On validation, our human population data may provide an impetus for further investigations on potential interactive roles of Fusobacterium and host immunity in colon carcinogenesis.

Experiment 1

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Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/31

Curated date: 2022/06/11

Curator: Jeshudy

Revision editor(s): Jeshudy, Claregrieve1, WikiWorks, Peace Sandy

Subjects

Location of subjects: United States of America

Host species Species from which microbiome was sampled. Contact us to have more species added.: Homo sapiens

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Intestine Bowel,Intestinal tract,Intestine,intestine

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Colorectal cancer cancer of colorectum,cancer of large bowel,cancer of large intestine,cancer of the large bowel,colon cancer,colorectal cancer,colorectum cancer,CRC,large intestine cancer,malignant colorectal neoplasm,malignant colorectal tumor,malignant colorectum neoplasm,malignant large bowel neoplasm,malignant large bowel tumor,malignant large intestine neoplasm,malignant large intestine tumor,malignant neoplasm of colorectum,malignant neoplasm of large bowel,malignant neoplasm of large intestine,malignant neoplasm of the large bowel,malignant neoplasm of the large intestine,malignant tumor of large bowel,malignant tumor of large intestine,malignant tumor of the large bowel,malignant tumor of the large intestine,Colorectal cancer

Group 0 name Corresponds to the control (unexposed) group for case-control studies: Tumor Tissue of Colorectal Cancer Cases

Group 1 name Corresponds to the case (exposed) group for case-control studies: Adjacent Non-Tumor Tissue of Colorectal Cancer Cases

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: Both colon and rectal carcinomas were included on the basis of the colorectal continuum model. Patients were followed up until death or the end of follow-up.

Group 0 sample size Number of subjects in the control (unexposed) group: 558

Group 1 sample size Number of subjects in the case (exposed) group: 558

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): None

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: Not specified

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: RT-qPCR

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).: relative abundances

Statistical test: Mann-Whitney (Wilcoxon)

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 0.05

MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?: Yes

Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment: age, family history of cancer, sex, Confounders controlled for: "year of diagnosis" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.year of diagnosis