Association of Combined Sero-Positivity to Helicobacter pylori and Streptococcus gallolyticus with Risk of Colorectal Cancer
by
, , , , ,
Meira Epplein
1,*
,
Loïc Le Marchand
2,
Timothy L. Cover
3,4,
Mingyang Song
5,6,7,
William J. Blot
8,
Richard M. Peek
3,4,9,
Lauren R. Teras
10,
Kala Visvanathan
11,
Yu Chen
12,
Howard D. Sesso
5,13,
Anne Zeleniuch-Jacquotte
12,
Sonja I. Berndt
14,
John D. Potter
15,
Marc D. Ryser
1,16,
Christopher A. Haiman
17,
Sylvia Wassertheil-Smoller
18,
Lesley F. Tinker
19,
Tim Waterboer
20 and
Julia Butt
20 1
Cancer Control and Population Health Sciences Program, Duke Cancer Institute and Department of Population Health Sciences, Duke University, Durham, NC 27705, USA
2
Epidemiology Program, University of Hawai’i Cancer Center, Honolulu, HI 96813, USA
3
Department of Medicine and Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
4
Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN 37212, USA
5
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
6
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
7
Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA
8
Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN 37203, USA
9
Division of Gastroenterology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
10
Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA 30303, USA
11
Department of Epidemiology, Johns Hopkins School of Public Health, and Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
12
Department of Population Health, New York University Grossman School of Medicine, New York, NY 10016, USA
13
Brigham and Women’s Hospital, Boston, MA 02215, USA
14
Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA
15
Centre for Public Health Research, Massey University, Wellington 6140, New Zealand
16
Department of Mathematics, Duke University, Durham, NC 27705, USA
17
Center for Genetic Epidemiology, Department of Preventive Medicine, University of Southern California and USC Norris Comprehensive Cancer Center, Los Angeles, CA 90089, USA
18
Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
19
Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
20
Infections and Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
*
Author to whom correspondence should be addressed.
Microorganisms 2020, 8(11), 1698; https://doi.org/10.3390/microorganisms8111698
Submission received: 2 October 2020
/
Revised: 19 October 2020
/
Accepted: 29 October 2020
/
Published: 30 October 2020
(This article belongs to the Section Gut Microbiota)
Abstract
:Previously, we found that risk of colorectal cancer (CRC) is increased in individuals with serum antibody response to both Helicobacter pylori (HP) Vacuolating Cytotoxin (VacA) toxin or Streptococcus gallolyticus (SGG) pilus protein Gallo2178. In the present analysis, we tested the hypothesis that combined seropositivity to both antigens is a better indicator of CRC risk than seropositivity to single antigens. We used multiplex serologic assays to analyze pre-diagnostic serum for antibody responses from 4063 incident CRC cases and 4063 matched controls from 10 US cohorts. To examine whether combined SGG Gallo2178 and HP VacA sero-status was associated with CRC risk, we used conditional logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Compared to dual sero-negative individuals, there was no increased risk for individuals sero-positive to SGG Gallo2178 only (OR: 0.93; 95% CI: 0.66–1.31) or to HP VacA only (OR: 1.08; 95% CI: 0.98–1.19). However, dual sero-positive individuals had a >50% increased odds of developing CRC (OR: 1.54; 95% CI: 1.16–2.04), suggesting an interaction between antibody responses to these two pathogens and CRC risk (pinteraction = 0.06). In conclusion, this study suggests that dual sero-positivity to HP VacA and SGG Gallo2178 is an indicator of increased risk of CRC.
1. Introduction
Previously identified potentially modifiable risk factors for colorectal cancer (CRC), the third most common cancer in the US [1], include diet, physical inactivity, obesity, and smoking. However, these lifestyle factors have generally been associated with only a moderately increased risk of CRC. The most well established risk factors for CRC, a first degree family history of CRC and a personal history of inflammatory bowel disease or colorectal adenoma, are not possible targets for primary prevention.
A more recent area of research regarding CRC etiology is focused on the potential association between gastrointestinal bacteria and CRC risk [2,3]. Two of the bacterial species of interest in this context include Streptococcus gallolyticus subsp. gallolyticus (S. gallolyticus) (SGG) and Helicobacter pylori (H. pylori). Interest in the potential connection of S. gallolyticus with CRC began with the observation that patients with infective endocarditis caused by S. gallolyticus more often than expected presented with a concomitant intestinal adenoma or CRC [4]. Previously, we explored the association between SGG and CRC risk in our consortium of 10 prospective cohort studies in the US, comprising serum samples of 4063 CRC cases and 4063 matched controls. We found no overall association of antibody responses to pilus protein Gallo2178, a virulence factor important for adherence to epithelial tissues, with CRC risk in the cohort consortium (OR: 1.23; 95% CI: 0.99–1.52). However, a time analysis between blood draw and CRC diagnosis revealed a statistically significant 40% increased risk of developing CRC with antibody responses to S. gallolyticus Gallo2178 with a CRC diagnosis within 10 years after blood draw (95% CI: 1.09–1.79) [5]. In the European Prospective Investigation into Cancer (EPIC), a consortium of prospective cohort studies throughout Europe, a strong association between Gallo2178 sero-prevalence and CRC was also found (OR: 3.01; 95% CI: 1.49–6.08) in a population with a median follow-up time of just 3.4 years (range 0.4 to 8.5 years) [6].
H. pylori is well established as the main carcinogen in the development of non-cardia gastric cancer [7]. Several studies have investigated whether H. pylori might be involved in carcinogenesis in extra-gastric sites, including CRC. The results of individual studies have been inconsistent, but two meta-analyses reported an overall statistically significant positive association between H. pylori infection and CRC [8,9]. To thoroughly evaluate this newly found association between H. pylori protein-specific infection and CRC risk, we investigated the association in our large, prospective US cohort consortium, and found a statistically significant 11% increased risk of developing CRC with antibody responses to the H. pylori Vacuolating Cytotoxin A (VacA) [10]. Additionally, similar to SGG, we found H. pylori sero-positivity, and specifically VacA sero-positivity, to be much more common among African Americans and other non-whites; further, the association of VacA antibody levels with CRC was stronger among non-white populations. Thus, these findings suggest that the serological response to H. pylori proteins could serve as a marker for individuals at increased risk of developing CRC.
In the present analysis, we sought to investigate the combined association of host response to these two pathogens, S. gallolyticus and H. pylori, and the risk of CRC in a nested case-control design utilizing pre-diagnostic serum or plasma samples from 4063 incident CRC cases and 1:1 matched controls from ten prospective US cohorts. Our hypothesis was that host immune response to these two gastrointestinal pathogens combined would better characterize those at elevated CRC risk than an immune response to either alone.
2. Materials and Methods
2.1. Study Population
As previously described [5,10], we established a consortium of ten prospective cohorts: Campaign Against Cancer and Stroke (CLUE); Cancer Prevention Study-II (CPSII); Health Professionals Follow-up Study (HPFS); Multiethnic Cohort Study (MEC); Nurses’ Health Study (NHS); NYU Women’s Health Study (NYUWHS); Physicians’ Health Study (PHS); Prostate, Lung, Colorectal, and Ovarian Screening Study (PLCO); Southern Community Cohort Study (SCCS); and Women’s Health Initiative (WHI), to explore the association of host immune response to infection and colorectal cancer. This study was approved by the Institutional Review Boards of all collaborating institutions.
Each cohort contributed data and pre-diagnostic biospecimens collected at baseline from incident colorectal cancer cases (defined based on the International Classification of Diseases for Oncology (ICD-O-3), codes C180–189, C199, and C209) and an equal number of controls, matched on sex, self-reported race/ethnicity, date of birth, and date of blood collection. Using incidence density sampling, one control was chosen at random for each CRC case from the appropriate risk sets consisting of all cohort members who had provided blood specimens and who were alive and free of cancer (except non-melanoma skin cancer) at the time of diagnosis of the index case. Covariates to be considered as potential confounders collected from participating cohorts and harmonized included education, smoking, body mass index (BMI), CRC screening history, and family history of CRC.
Of the initial 8420 samples that were assayed by multiplex serology (4210 cases and 4210 controls), 294 (147 pairs) were excluded from this analysis due to technical issues of insufficient volume, pipetting errors, and/or invalid measurements due to insufficient bead counts (100 pairs), or because the pair was mismatched by self-reported race/ethnicity and/or sex (47 pairs). Thus, these analyses were performed with a final study population of 8126 (4063 cases and 4063 controls). Among this population, the median age at diagnosis was 73 years (range: 40–97 years), there were more women than men (63% vs 37%), cancer primarily occurred in the colon (84%), and the median follow-up time for cases was 7 years (range: <1–40.2 years).
2.2. Multiplex Serology
This study is based on previously collected multiplex serology data. As previously described, fluorescent-bead-based multiplex serology utilizing a Luminex flow cytometer (Luminex Inc., Austin, TX, USA) was applied to measure the amount of bound IgG/IgA/IgM serum antibody against 13 H. pylori and 9 S. gallolyticus proteins recombinantly expressed as glutathione-S-transferase (GST)-tagged fusion proteins [6,11,12,13,14]. The resulting quantitative measure is a median fluorescence intensity (MFI), measured on at least 100 beads per set per sample. Calculation of net MFI is performed by subtracting background values resulting from a bead-set loaded with GST-tag only in addition to a serum-free reaction.
To determine sero-positivity to individual H. pylori antigens, we applied antigen-specific MFI cutoffs as previously defined within this population and assured by visual inspection of percentile plots [10]. For overall H. pylori sero-positivity, we applied the previously established definition of being positive to 4 or more of the 13 H. pylori antigens assessed [13]. Individuals were designated as H. pylori VacA-positive (Hp VacA+) if they met the criteria of both H. pylori-positive and VacA-positive to ensure that antigen-specific seropositivity did not result from cross-reactive antibody responses from infection with other pathogens expressing homologous proteins [10].
For S. gallolyticus, we again applied antigen-specific cutoffs as previously determined for this population [5], which were defined arbitrarily through visual inspection of percentile plots at the approximate inflection point of the curve to dichotomize antibody responses as sero-positive and sero-negative, as described previously for other antigens [15,16,17]. In the present study, we assessed only S. gallolyticus Gallo2178 because it was previously shown that sero-positivity to this protein was the strongest S. gallolyticus marker associated with CRC risk [5,6].
2.3. Statistical Analysis
Study participant characteristics of age, sex, self-reported race/ethnicity, education, BMI, smoking status, family history of CRC, and personal history of ever colonoscopy/sigmoidoscopy were compared by combined Hp VacA and SGG Gallo2178 sero-positivity status, among controls only, using a chi-squared test for categorical variables and the t-test for the continuous variable of age.
To examine whether combined HP VacA and SGG Gallo2178 sero-status was associated with CRC risk, we created a new categorical variable with four mutually exclusive values: sero-negative to both (HP VacA-/SGG Gallo2178-); sero-positive to Hp VacA only (HP VacA+/SGG Gallo2178-); sero-positive to SGG Gallo2178 only (HP VacA-/SGG Gallo2178+); and sero-positive to both (HP VacA+/SGG Gallo2178+). We then used conditional logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for CRC, with the dual sero-negative group (HP VacA-/SGG Gallo2178-) as reference. P-values below 0.05 were considered statistically significant. Study participant characteristics as described above were considered as potential confounders; only BMI and education were associated with the main exposure of interest, combined Hp VacA and SGG Gallo2178 sero-positivity, and thus were adjusted for in secondary models among those study participants who did not have missing values for these factors (n = 6794; 84% of the full study population). An interaction between sero-positivity to the two bacterial proteins and association with CRC risk was examined through the inclusion of a multiplicative interaction term assessed by the Wald Chi-Square test.
Because we believed, a priori, that individuals of different self-reported races/ethnicities could have a different immune response to both infections [18,19], we repeated the same analyses as above, but stratified by self-reported race/ethnicity.
Secondarily, as we had previously found the SGG Gallo2178 association with CRC to be strongest among individuals with less than 10 years of follow up between baseline blood draw and CRC diagnosis [5,11], we also performed stratified analyses by follow-up time (<10 years vs. ≥10 years between blood draw and diagnosis).
3. Results
Among controls, individuals sero-positive to both HP VacA and SGG Gall02178, compared to individuals sero-negative to both, were more likely to be older, African-American, and have a lower educational attainment and higher BMI (Table 1). To note, controls were matched to cases on age, self-reported race/ethnicity, and sex.
Most study participants were sero-negative to both antigens (65% of controls and 63% of cases), almost a third were sero-positive to HP VacA but sero-negative to SGG Gallo2178 (31% of controls and 32% of cases), and only a small fraction were sero-negative to HP VacA but sero-positive to SGG Gallo2178 (2% of controls and 2% of cases), or sero-positive to both (2% and 3%, respectively). We found a > 50% increase in the odds of developing CRC among individuals sero-positive to both, compared to sero-negative to both (OR: 1.54; 95% CI: 1.16–2.04) (Table 2). There was no increased risk for individuals sero-positive to SGG Gallo2178 only (OR: 0.93; 95% CI: 0.66–1.31) or to HP VacA only (OR: 1.08; 95% CI: 0.98–1.19). Inclusion of a multiplicative interaction term suggested an interaction between antibody responses to these two bacteria and CRC risk (pinteraction = 0.06). Stratification by self-reported race/ethnicity showed a particularly strong association between dual sero-positivity and CRC among African Americans (OR: 2.00; 95% CI: 1.15–3.48), a population with an overall higher proportion of individuals with antibody responses to both pathogens as well (10%). However, there was no suggestion of an interaction between antibody responses among African Americans alone (pinteraction = 0.61). Adjusting for education and BMI, among those participants with these variables available, did not change the findings (Table 2).
Secondary analyses did not suggest differences in these associations by time from blood draw to diagnosis (Table S1).
4. Discussion
In this nested case-control study of over 4000 prospectively ascertained CRC cases and 1:1 matched controls, we found that dual sero-positivity to HP VacA and SGG Gallo2178, as compared to dual sero-negativity to both, was associated with a 54% increase in the odds of developing CRC. This association appeared to be stronger in African Americans, who showed a doubling of odds for CRC. Previously, in the same consortium, we had found overall associations between presence of antibodies to each of these specific antigens and risk of CRC, separately, although these individual associations were weaker (ORs of 1.11 and 1.23, respectively) [5,10] than the 1.54 found in the combined analysis, suggesting a synergistic effect. To note, in those prior analyses, the reference groups were different (Hp VacA- and SGG Gallo2178-, respectively), as were the exposures (Hp VacA+ and SGG Gallo2178+, respectively), all without consideration of sero-status to other antigens.
The underlying mechanisms for the potential etiological roles of H. pylori and S. gallolyticus in colorectal carcinogenesis remain elusive, especially regarding any potential interaction between the bacteria. As the colon is not the natural habitat of H. pylori, if the association is causal, the bacteria might contribute to colorectal carcinogenesis via indirect effects [20]. One possibility is that H. pylori infection in the stomach and associated alterations in the gastric environment re-shape the gut microbiome [21]. Two recent studies have reported co-occurrence of harmful gastrointestinal microbiota with H. pylori infection. Comparing 212 H. pylori-infected individuals with 212 controls from a population-based study in Germany, 16S rRNA sequencing revealed that H. pylori cases had higher fecal bacterial diversity, but also that those with the greatest stool antigen load of H. pylori were less likely to have four genera (Bacteroides, Barnesiella, Fusicatenibacter, and Alistipes) associated with health promotion [22]. Separately, in a prospective study in China of matched tissue and stool samples pre- and post-H. pylori eradication, H. pylori infection was significantly associated with microbial dysbiosis, and successful eradication increased abundance of probiotic bacteria [23].
It has also been hypothesized that bacterial commensals like S. gallolyticus might become pathogenic after the gut intestinal barrier integrity is disrupted, as is the case during colorectal tumorigenesis. Laboratory studies have shown that the altered molecular conditions in CRC tumor tissue enables S. gallolyticus to proliferate favorably and to have a pro-inflammatory and proliferative effect on CRC cells [24,25]. Specifically, the protein Gallo2178 (as well as Gallo2179) has been found to play a key role in adhesion, allowing S. gallolyticus to invade colon tissue after a lesion in the epithelium has formed [26]. Thus, another possibility for a mutual effect of H. pylori and S. gallolyticus on colorectal carcinogenesis is that infection with H. pylori, through yet unknown mechanisms, could lead to CRC precursors that then enable other bacteria like S. gallolyticus to infect the colon and exert pro-carcinogenic effects.
Although there is no previous literature specifically on the combined effect of host response to these two bacteria and CRC risk, there exists previous research that has repeatedly reported potential associations of CRC with bacteria residing in the gut [27]. The rationale for these associations include multiple hypotheses of mechanism, including inflammation, genotoxicity, and oxidative stress through, for example, bacterial production of pro-oxidative reactive oxygen and nitrogen species [2]. A limitation of the present study is the lack of data on timing, duration, and persistence of these infections, which prevents any conclusions about timing and sequence of events. Moreover, it is important to emphasize that this study is of antibodies, and thus host response to infection, and cannot differentiate current versus past infection status. Furthermore, all H. pylori strains harbor a vacA gene, but strains can vary considerably in levels of VacA production, VacA secretion, or VacA activity [28]. The serum anti-VacA antibody responses detected in this study probably occur most commonly in individuals infected with H. pylori strains producing high levels of type s1/m1 VacA (a form exhibiting the highest levels of toxin activity in cell culture assays and associated with increased gastric cancer risk), but the current serologic assay was not designed to discriminate between antibody responses to different forms of VacA.
Additionally, only a small fraction of individuals in this study were dual positive for Hp VacA and SGG Gallo2178, suggesting the clinical significance is not broadly relevant. Nonetheless, we believe the data presented here, along with prior research, suggests that further examinations of co-infections and CRC could deepen our understanding of the heterogeneity of CRC etiology, contribute to the development of biomarkers, and provide the opportunity for studies to consider the potential of bacteria-related interventions to reduce risk of this common cancer.
Supplementary Materials
The following are available online at https://www.mdpi.com/2076-2607/8/11/1698/s1, Table S1: SGG Gallo2178 and HP VacA combined status and colorectal cancer risk, by time between blood draw and diagnosis.
Author Contributions
Data curation, M.E., W.J.B. and J.B.; Formal analysis, J.B.; Funding acquisition, M.E.; Investigation, L.L.M., R.M.P., K.V., J.D.P., M.D.R. and J.B.; Methodology, M.E., T.L.C., M.S., L.F.T., Y.C., H.D.S., C.A.H., T.W. and J.B.; Project administration, M.E.; Resources, L.L.M., M.S., W.J.B., L.F.T., K.V., Y.C., H.D.S., A.Z.-J., S.I.B., C.A.H., S.W.-S. and L.F.T.; Supervision, M.E.; Writing—original draft, M.E. and J.B.; Writing—review and editing, L.L.M., T.L.C., M.S., W.J.B., R.M.P., L.R.T., K.V., Y.C., H.D.S., A.Z.-J., S.I.B., J.D.P., M.D.R., C.A.H., S.W.-S., L.F.T., T.W. and J.B. All authors have read and agreed to the published version of the manuscript.
Funding
The National Cancer Institute of the National Institutes of Health funds: this consortium [R01 CA190428 to ME); the Southern Community Cohort Study [U01 CA202979 to WJB]; the New York University Women’s Health Study [U01 CA182934 to AZ-J/YC and P30 CA016087); the Nurses’ Health Study/Health Professionals Follow-Up Study [U01 CA167552; P01 CA087969; UM1 CA186107; R00 CA215314; and UM1 CA167552]; the Physicians’ Health Study [R01 CA097193; R01 CA040360; and R01 HL034595]; and the Multiethnic Cohort Study [U01 CA164973 to LLM). RMP is supported by R01 DK058587 and R01 CA077955. TLC is supported by National Institutes of Health (NIH) R01 AI039657, R01 AI118932, P01 CA116087 and the Department of Veterans Affairs BX004447. MS is supported by the American Cancer Society [MRSG-17-220-01–NEC] and the NIH [R00 CA215314]. The Women’s Health Initiative program is funded by the National Heart, Lung, and Blood Institute, NOH, US Department of Health and Human Services through contracts, HHSN268201600018C, HHSN268201600001C, HHSN268201600002C, HHSN268201600003C, and HHSN268201600004C. The development of Helicobacter pylori multiplex serology was funded in part by the Joint Initiative for Innovation and Research of the German Helmholtz Association. The funding sources played no role in the analysis or interpretation of the data. Study sponsors had no role in the study design or collection, analysis, or interpretation of the data.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Siegel, R.L.; Miller, K.D.; Jemal, A. Cancer statistics, 2020. Cancer 2020, 70, 7–30. [Google Scholar] [CrossRef] [PubMed]
- Gagniere, J.; Raisch, J.; Veziant, J.; Barnich, N.; Bonnet, R.; Buc, E.; Bringer, M.-A.; Pezet, D.; Bonnet, M. Gut microbiota imbalance and colorectal cancer. World J. Gastroenterol. 2016, 22, 501–518. [Google Scholar] [CrossRef] [PubMed]
- Song, M.; Chan, A.T.; Sun, J. Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer. Gastroenterology 2020, 158, 322–340. [Google Scholar] [CrossRef]
- Boleij, A.; van Gelder, M.M.; Swinkels, D.W.; Tjalsma, H. Clinical Importance of Streptococcus gallolyticus infection among colorectal cancer patients: Systematic review and meta-analysis. Clin. Infect. Dis. 2011, 53, 870–878. [Google Scholar] [CrossRef] [Green Version]
- Butt, J.; Blot, W.J.; Teras, L.R.; Visvanathan, K.; Le Marchand, L.; Haiman, C.A.; Chen, Y.; Bao, Y.; Sesso, H.D.; Wassertheil-Smoller, S.; et al. Antibody Responses to Streptococcus Gallolyticus Subspecies Gallolyticus Proteins in a Large Prospective Colorectal Cancer Cohort Consortium. Cancer Epidemiol. Biomark. Prev. 2018, 27, 1186–1194. [Google Scholar] [CrossRef] [Green Version]
- Butt, J.; Jenab, M.; Willhauck-Fleckenstein, M.; Michel, A.; Pawlita, M.; Kyrø, C.; Tjønneland, A.; Boutron-Ruault, M.-C.; Carbonnel, F.; Severi, G.; et al. Prospective evaluation of antibody response to Streptococcus gallolyticus and risk of colorectal cancer. Int. J. Cancer 2018, 143, 245–252. [Google Scholar] [CrossRef] [Green Version]
- Amieva, M.; Peek, R.M., Jr. Pathobiology of Helicobacter pylori-Induced Gastric Cancer. Gastroenterology 2016, 150, 64–78. [Google Scholar] [CrossRef] [Green Version]
- Zhao, Y.; Wang, X.; Wang, Y. Helicobacter pylori infection and colorectal carcinoma risk: A meta-analysis. J. Cancer Res. Ther. 2016, 12, 15–18. [Google Scholar]
- Zumkeller, N.; Brenner, H.; Zwahlen, M.; Rothenbacher, D. Helicobacter pylori infection and colorectal cancer risk: A meta-analysis. Helicobacter 2006, 11, 75–80. [Google Scholar] [CrossRef]
- Butt, J.; Varga, M.G.; Blot, W.J.; Teras, L.; Visvanathan, K.; Le Marchand, L.; Haiman, C.; Chen, Y.; Bao, Y.; Sesso, H.D.; et al. Serologic Response to Helicobacter pylori Proteins Associated With Risk of Colorectal Cancer Among Diverse Populations in the United States. Gastroenterology 2019, 156, 175–186. [Google Scholar] [CrossRef] [PubMed]
- Butt, J.; Werner, S.; Willhauck-Fleckenstein, M.; Michel, A.; Waterboer, T.; Zörnig, I.; Boleij, A.; Dramsi, S.; Brenner, H.; Pawlita, M. Serology of Streptococcus gallolyticus subspecies gallolyticus and its association with colorectal cancer and precursors. Int. J. Cancer 2017, 141, 897–904. [Google Scholar] [CrossRef] [Green Version]
- Epplein, M.; Pawlita, M.; Michel, A.; Peek, R.M., Jr.; Cai, Q.; Blot, W.J. Helicobacter pylori Protein-Specific Antibodies and Risk of Colorectal Cancer. Cancer Epidemiol Biomarker Prev. 2013, 22, 1964–1974. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Michel, A.; Waterboer, T.; Kist, M.; Pawlita, M. Helicobacter pylori multiplex serology. Helicobacter 2009, 14, 525–535. [Google Scholar]
- Waterboer, T.; Sehr, P.; Michael, K.M.; Franceschi, S.; Nieland, J.D.; Joos, T.O.; Templin, M.F.; Pawlita, M. Multiplex human papillomavirus serology based on in situ-purified glutathione s-transferase fusion proteins. Clin. Chem. 2005, 51, 1845–1853. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Michael, K.M.; Waterboer, T.; Sehr, P.; Rother, A.; Reidel, U.; Boeing, H.; Bravo, I.G.; Schlehofer, J.; Gärtner, B.C.; Pawlita, M. Seroprevalence of 34 human papillomavirus types in the German general population. PLoS Pathog. 2008, 4, e1000091. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Migchelsen, S.J.; Martin, D.L.; Southisombath, K.; Turyaguma, P.; Heggen, A.; Rubangakene, P.P.; Joof, H.; Makalo, P.; Cooley, G.; Gwyn, S.; et al. Defining Seropositivity Thresholds for Use in Trachoma Elimination Studies. PLoS Negl. Trop. Dis. 2017, 11, e0005230. [Google Scholar] [CrossRef]
- Rollison, D.E.; Giuliano, A.R.; Messina, J.L.; Fenske, N.A.; Cherpelis, B.S.; Sondak, V.K.; Roetzheim, R.G.; Iannacone, M.R.; Michael, K.M.; Gheit, T.; et al. Case-control study of Merkel cell polyomavirus infection and cutaneous squamous cell carcinoma. Cancer Epidemiol. Biomark. Prev. 2012, 21, 74–81. [Google Scholar] [CrossRef] [Green Version]
- Butt, J.; Blot, W.J.; Shrubsole, M.J.; Varga, M.G.; Hendrix, L.H.; Crankshaw, S.; Waterboer, T.; Pawlita, M.; Epplein, M. Performance of multiplex serology in discriminating active vs past Helicobacter pylori infection in a primarily African American population in the southeastern United States. Helicobacter 2020, 25, e12671. [Google Scholar] [CrossRef]
- Butt, J.; Blot, W.J.; Shrubsole, M.J.; Waterboer, T.; Pawlita, M.; Epplein, M. Differences in antibody levels to H. pylori virulence factors VacA and CagA among African Americans and whites in the Southeast USA. Cancer Causes Control. 2020, 31, 601–606. [Google Scholar] [CrossRef] [Green Version]
- Butt, J.; Epplein, M. Helicobacter pylori and colorectal cancer-A bacterium going abroad? PLoS Pathog. 2019, 15, e1007861. [Google Scholar] [CrossRef] [Green Version]
- Papastergiou, V.; Karatapanis, S.; Georgopoulos, S.D. Helicobacter pylori and colorectal neoplasia: Is there a causal link? World J. Gastroenterol. 2016, 22, 649–658. [Google Scholar] [CrossRef] [PubMed]
- Frost, F.; Kacprowski, T.; Rühlemann, M.; Bang, C.; Franke, A.; Zimmermann, K.; Nauck, M.; Völker, U.; Völzke, H.; Biffar, R.; et al. Helicobacter pylori infection associates with fecal microbiota composition and diversity. Sci. Rep. 2019, 9, 20100. [Google Scholar] [CrossRef] [PubMed]
- Guo, Y.; Zhang, Y.; Gerhard, M.; Gao, J.-J.; Mejias-Luque, R.; Zhang, L.; Vieth, M.; Ma, J.-L.; Bajbouj, M.; Suchanek, S.; et al. Effect of Helicobacter pylori on gastrointestinal microbiota: A population-based study in Linqu, a high-risk area of gastric cancer. Gut 2020, 69, 1598–1607. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Aymeric, L.; Donnadieu, F.; Mulet, C.; Du Merle, L.; Nigro, G.; Saffarian, A.; Bérard, M.; Poyart, C.; Robine, S.; Regnault, B.; et al. Colorectal cancer specific conditions promote Streptococcus gallolyticus gut colonization. Proc. Natl. Acad. Sci. USA 2018, 115, E283–E291. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kumar, R.; Herold, J.L.; Schady, D.; Davis, J.S.; Kopetz, S.; Martinez-Moczygemba, M.; Murray, B.E.; Han, F.; Li, Y.; Callaway, E.; et al. Streptococcus gallolyticus subsp. gallolyticus promotes colorectal tumor development. PLoS Pathog. 2017, 13, e1006440. [Google Scholar] [CrossRef]
- Danne, C.; Entenza, J.M.; Mallet, A.; Briandet, R.; Débarbouillé, M.; Nato, F.; Glaser, P.; Jouvion, G.; Moreillon, P.; Trieu-Cuot, P.; et al. Molecular characterization of a Streptococcus gallolyticus genomic island encoding a pilus involved in endocarditis. J. Infect. Dis. 2011, 204, 1960–1970. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Amitay, E.L.; Krilaviciute, A.; Brenner, H. Systematic review: Gut microbiota in fecal samples and detection of colorectal neoplasms. Gut Microbes 2018, 9, 293–307. [Google Scholar] [CrossRef] [Green Version]
- McClain, M.S.; Beckett, A.C.; Cover, T.L. Helicobacter pylori Vacuolating Toxin and Gastric Cancer. Toxins 2017, 9, 316. [Google Scholar] [CrossRef] [Green Version]
Table 1.
Baseline factors among controls, overall and by combined H. pylori VacA (HP VacA) and Streptococcus gallolyticus subsp. gallolyticus (S. gallolyticus) (SGG) Gallo2178 sero-status.
Table 1.
Baseline factors among controls, overall and by combined H. pylori VacA (HP VacA) and Streptococcus gallolyticus subsp. gallolyticus (S. gallolyticus) (SGG) Gallo2178 sero-status.
| Combined Hp VacA and SGG Gallo2178 Sero-Status | |||||
|---|---|---|---|---|---|
| All Controls (n = 4063) | HP VacA- and SGG Gallo2178- (n = 2640) | HP VacA+ and SGG Gallo2178- (n = 1260) | HP VacA- and SGG Gallo2178+ (n = 73) | HP VacA+ and SGG Gallo2178+ (n = 90) | |
| Sex, n (%) | |||||
| Female | 2556 | 1709 (67) | 738 (29) | 53 (2) | 56 (2) |
| Male | 1507 | 931 (62) | 522 (35) | 20 (1) | 34 (2) |
| Age, mean (SD) a | 63 (10) | 64 (9) | 62 (10) | 67 (10) | |
| Self-reported race/ethnicity, n (%) a | |||||
| Whites | 3067 | 2186 (71) | 790 (26) | 51 (2) | 40 (1) |
| African American | 399 | 160 (40) | 210 (53) | 6 (2) | 23 (6) |
| Asian American | 307 | 188 (61) | 105 (34) | 8 (3) | 6 (2) |
| Latino | 211 | 63 (30) | 126 (60) | 3 (1) | 19 (9) |
| Unknown/multiracial/other | 79 | 43 (54) | 29 (37) | 5 (6) | 2 (3) |
| Education, n (%) a | |||||
| <High School | 468 | 214 (46) | 228 (49) | 5 (1) | 21 (4) |
| High School/GED | 823 | 506 (61) | 287 (35) | 11 (1) | 19 (2) |
| >High School, other than college | 183 | 131 (72) | 47 (26) | 2 (1) | 3 (2) |
| Some College | 845 | 563 (67) | 251 (30) | 14 (2) | 17 (2) |
| College Graduate | 756 | 533 (71) | 189 (25) | 18 (2) | 16 (2) |
| Graduate School | 946 | 667 (71) | 246 (26) | 20 (2) | 13 (1) |
| BMI [kg/m2], n (%) a | |||||
| <20 | 99 | 67 (68) | 29 (29) | 1 (1) | 2 (2) |
| 20- <25 | 1226 | 819 (67) | 358 (29) | 31 (3) | 18 (1) |
| 25- <30 | 1456 | 930 (64) | 467 (32) | 20 (1) | 39 (3) |
| ≥30 | 748 | 453 (61) | 251 (34) | 18 (2) | 26 (3) |
| Smoking, n (%) | |||||
| Never | 1853 | 1208 (65) | 557 (30) | 45 (2) | 43 (2) |
| Former | 1622 | 1079 (67) | 494 (30) | 19 (1) | 30 (2) |
| Current | 546 | 325 (60) | 198 (36) | 7 (1) | 16 (3) |
| Family history of CRC, n (%) | |||||
| No | 2638 | 1760 (67) | 772 (29) | 52 (2) | 54 (2) |
| Yes | 408 | 263 (64) | 128 (31) | 8 (2) | 9 (2) |
| Ever had a colonoscopy or sigmoidoscopy, n (%) | |||||
| No | 1554 | 983 (63) | 504 (32) | 32 (2) | 35 (2) |
| Yes | 1494 | 1001 (67) | 430 (29) | 29 (2) | 34 (2) |
| Self-reported diabetes, n (%) | |||||
| No | 3279 | 2133 (65) | 1011 (31) | 60 (2) | 75 (2) |
| Yes | 271 | 153 (56) | 100 (37) | 8 (3) | 10 (4) |
ap < 0.05 (Chi-Squared test for categorical variables, t-test for continuous variable age) for H. pylori VacA-positive (HP VacA+) and SGG Gallo2178+ category compared to H. pylori VacA-negative (HP VacA-) and SGG Gallo2178- category.
Table 2.
SGG Gallo2178 and HP VacA combined status and colorectal cancer risk, overall and by self-reported race/ethnicity.
Table 2.
SGG Gallo2178 and HP VacA combined status and colorectal cancer risk, overall and by self-reported race/ethnicity.
| Among Matched Pairs with BMI and Education Available | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Controls n (%) | Cases n (%) | OR (95% CI) a | Pinteraction | Controls n (%) | Cases n (%) | OR (95% CI) a | Pinteraction | OR (95% CI) b | Pinteraction | |
| Overall | ||||||||||
| HP VacA-/SGG Gallo2178- | 2640 (65) | 2563 (63) | 1.00 (Ref) | 2191 (65) | 2128 (63) | 1.00 (ref) | 1.00 (ref) | |||
| HP VacA+/SGG Gallo2178- | 1260 (31) | 1303 (32) | 1.08 (0.98, 1.19) | 1061 (31) | 1091 (32) | 1.07 (0.96, 1.20) | 1.06 (0.95, 1.19) | |||
| HP VacA-/SGG Gallo2178+ | 73 (2) | 66 (2) | 0.93 (0.66, 1.31) | 67 (2) | 58 (2) | 0.89 (0.61, 1.28) | 0.87 (0.60, 1.25) | |||
| HP VacA+/SGG Gallo2178+ | 90 (2) | 131 (3) | 1.54 (1.16, 2.04) | 0.057 | 78 (2) | 120 (4) | 1.63 (1.21, 2.20) | 0.026 | 1.57 (1.16, 2.12) | 0.029 |
| Whites | ||||||||||
| HP VacA-/SGG Gallo2178- | 2186 (71) | 2141 (70) | 1.00 (Ref) | 1764 (72) | 1733 (70) | 1.00 (ref) | 1.00 (ref) | |||
| HP VacA+/SGG Gallo2178- | 790 (26) | 820 (27) | 1.06 (0.95, 1.19) | 620 (25) | 640 (26) | 1.05 (0.92, 1.20) | 1.04 (0.91, 1.19) | |||
| HP VacA-/SGG Gallo2178+ | 51 (2) | 50 (2) | 1.00 (0.67, 1.50) | 48 (2) | 43 (2) | 0.91 (0.59, 1.40) | 0.89 (0.58, 1.37) | |||
| HP VacA+/SGG Gallo2178+ | 40 (1) | 56 (2) | 1.45 (0.95, 2.19) | 0.301 | 33 (1) | 49 (2) | 1.52 (0.97, 2.38) | 0.146 | 1.48 (0.94, 2.33) | 0.145 |
| African Americans | ||||||||||
| HP VacA-/SGG Gallo2178- | 160 (40) | 127 (32) | 1.00 (Ref) | 145 (40) | 112 (31) | 1.00 (ref) | 1.00 (ref) | |||
| HP VacA+/SGG Gallo2178- | 210 (53) | 229 (57) | 1.38 (1.01, 1.88) | 189 (53) | 207 (58) | 1.42 (1.03, 1.96) | 1.43 (1.03, 1.99) | |||
| HP VacA-/SGG Gallo2178+ | 6 (2) | 5 (1) | 1.02 (0.31, 3.41) | 6 (2) | 5 (1) | 1.04 (0.31, 3.48) | 0.94 (0.27, 3.25) | |||
| HP VacA+/SGG Gallo2178+ | 23 (6) | 38 (10) | 2.00 (1.15, 3.48) | 0.609 | 19 (5) | 35 (10) | 2.31 (1.26, 4.22) | 0.520 | 2.45 (1.32, 4.54) | 0.405 |
| Asian Americans | ||||||||||
| HP VacA-/SGG Gallo2178- | 188 (61) | 180 (59) | 1.00 (Ref) | 188 (61) | 179 (59) | 1.00 (ref) | 1.00 (ref) | |||
| HP VacA+/SGG Gallo2178- | 105 (34) | 114 (37) | 1.14 (0.80, 1.62) | 104 (34) | 114 (37) | 1.16 (0.82, 1.66) | 1.19 (0.83, 1.70) | |||
| HP VacA-/SGG Gallo2178+ | 8 (3) | 4 (1) | 0.54 (0.16, 1.83) | 8 (3) | 4 (1) | 0.55 (0.16, 1.84) | 0.54 (0.16, 1.90) | |||
| HP VacA+/SGG Gallo2178+ | 6 (2) | 9 (3) | 1.72 (0.55, 5.35) | 0.232 | 6 (2) | 9 (3) | 1.74 (0.56, 5.40) | 0.240 | 1.61 (0.51, 5.05) | 0.296 |
| Latinos | ||||||||||
| HP VacA-/SGG Gallo2178- | 63 (30) | 72 (34) | 1.00 (Ref) | 59 (29) | 71 (34) | 1.00 (ref) | 1.00 (ref) | |||
| HP VacA+/SGG Gallo2178- | 126 (60) | 112 (53) | 0.78 (0.51, 1.19) | 125 (61) | 109 (53) | 0.72 (0.47, 1.12) | 0.72 (0.46, 1.13) | |||
| HP VacA-/SGG Gallo2178+ | 3 (1) | 5 (20) | 1.39 (0.32, 6.01) | 3 (1) | 4 (2) | 1.01 (0.22, 4.73) | 1.05 (0.22, 5.04) | |||
| HP VacA+/SGG Gallo2178+ | 19 (9) | 22 (10) | 1.02 (0.50, 2.09) | 0.948 | 19 (9) | 22 (11) | 0.98 (0.48, 2.00) | 0.738 | 1.00 (0.48, 2.06) | 0.759 |
a Conditional logistic regression model (controls matched to cases on sex, race, date of birth, and date of blood collection); b Conditional Logistic regression model with adjustment for education (≤HS or GED, >HS ≤college graduate, ≥college graduate), and BMI (<25, ≥25 < 30, ≥30 kg/m2).
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Epplein, M.; Le Marchand, L.; Cover, T.L.; Song, M.; Blot, W.J.; Peek, R.M.; Teras, L.R.; Visvanathan, K.; Chen, Y.; Sesso, H.D.; et al. Association of Combined Sero-Positivity to Helicobacter pylori and Streptococcus gallolyticus with Risk of Colorectal Cancer. Microorganisms 2020, 8, 1698. https://doi.org/10.3390/microorganisms8111698
AMA Style
Epplein M, Le Marchand L, Cover TL, Song M, Blot WJ, Peek RM, Teras LR, Visvanathan K, Chen Y, Sesso HD, et al. Association of Combined Sero-Positivity to Helicobacter pylori and Streptococcus gallolyticus with Risk of Colorectal Cancer. Microorganisms. 2020; 8(11):1698. https://doi.org/10.3390/microorganisms8111698
Chicago/Turabian StyleEpplein, Meira, Loïc Le Marchand, Timothy L. Cover, Mingyang Song, William J. Blot, Richard M. Peek, Lauren R. Teras, Kala Visvanathan, Yu Chen, Howard D. Sesso, and et al. 2020. "Association of Combined Sero-Positivity to Helicobacter pylori and Streptococcus gallolyticus with Risk of Colorectal Cancer" Microorganisms 8, no. 11: 1698. https://doi.org/10.3390/microorganisms8111698
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