Literature DB >> 23731547

Hunting for cancer in the microbial jungle.

Pauline Funchain1, Charis Eng2.   

Abstract

Entities:  

Year:  2013        PMID: 23731547      PMCID: PMC3707053          DOI: 10.1186/gm446

Source DB:  PubMed          Journal:  Genome Med        ISSN: 1756-994X            Impact factor:   11.117


× No keyword cloud information.

In a time when the fragility of the global ecosystem is a hot topic, the macrosystem of global environmental problems parallels the microcosm of the biomedical sphere known as the human body. We are beginning to understand that the safari of a world that inhabits our bodies is highly diverse and sensitive to host-environment factors, and that perturbations of this jungle mirror, and perhaps cause, diseases as disparate as inflammatory bowel disease, diabetes, and obesity [1-3]. Medically, we have understood the concept of perturbing the human ecosystem for some time. As with monocultures in agriculture, razing the landscape of human prosymbionts has serious medical consequences, usually resulting from re-colonization by a predominant species that was previously held in check by the overall community. For example, courses of antibiotics for urinary tract infections are known triggers of vaginal yeast infections; equally, antibiotics for bacterial pneumonias and bloodstream infections are associated with the ever problematic Clostridium difficile diarrhea. The supposition that disturbing the microenvironment causes disease seems to be supported by the recent proof-of-principle experiment to treat disease by repopulating a devastated ecosystem with a healthy one, resulting in the successful eradication of C. difficile colitis through fecal microbial transplantation [4].

Diversity in the microbial habitat: why is more better?

Evidence is mounting that microbial diversity is healthy and less diversity is not. A seminal study in lean and obese twins [3] showed that less diversity in the gut microbiome correlated with obesity, and multiple studies of other diseases, such as inflammatory bowel disease and colon cancer [1,5], consistently find that lower diversity occurs in disease states. Repeatedly finding less diversity in multiple, seemingly separate diseases is probably not a coincidence. Consider the finding that microbiomes of cancerous tissue show lower diversity than adjacent normal tissue, recently reported for colorectal cancer [5], and consider how disturbing the microcosm by reducing its diversity might produce a malignant state. One possibility is that shifting the microcosm such that a few species predominate might allow normally benign organisms to become pathogenic as a result of overrepresentation, as in the case of C. difficile. Such microbial dysbiosis could potentially explain the differences between colonization and pathogenesis of Helicobacter pylori in the case of gastric cancer, or human papilloma virus on squamous cell surfaces of the cervix, anus, or head and neck. A second possibility is that a different landscape of microorganisms would result in a different ecosystem of metabolites. Perhaps a decrease in diversity of microorganisms leads to a decrease in diversity of metabolites, creating a 'serum starvation' condition, that is, a state in which essential nutrients are lacking. In such a state, an increase in selective pressures might favor hyperproliferative clones and thus predispose to cancer. Alternatively, shifts in diversity might allow an oncometabolite-producing organism, otherwise benign in small proportions, to flourish and produce metabolites that are carcinogenic in large quantities. For example, although ethanol itself is not carcinogenic, its metabolite acetaldehyde, converted from ethanol in vivo by both bacteria and fungi (particularly Candida albicans), is carcinogenic in animal models [6]. A third possibility is that a decrease in diversity could cause a shift in the body's baseline immunological response. One imagines either an over-activation of the immune system causing inflammatory changes such as global hypermethylation [7] or a quiescence of the immune system allowing cancer to grow.

Profiling cancers by their microbiomes: where the wild things are

Microbial profiling of cancer is agnostic as to whether bacteria are the cause or the effect, although in each scenario lies clinical utility. If the development of cancer is the underlying reason for shifts in the microbial community, then surveying bacteria becomes a new method for diagnosis. Microbial censuses could be used to diagnose malignancies and in surveillance for recurrence. Of clinical importance is that microbiome sampling, as opposed to blood sampling or tissue biopsies, is generally non-invasive. Such approaches are already revealing insights; for example, specific microbes in saliva have been associated with chronic pancreatitis and tumors of the pancreas [8]. On the other hand, if shifts in the microbial spectrum cause cancer, then not only does microbiome research become a new route into exploring pathogenesis but the microbiome itself becomes a new target for preventative strategies. Microbiomes could be sampled proactively for risk stratification in at-risk populations, and probiotics and microbiome transplants could be considered as strategies for cancer prevention. Also intriguing is the idea that one might be able to categorize cancers that do or do not have a microbial influence. It has been demonstrated in head and neck cancers that microbes live deep within tumor tissue [9], thus contributing to the intracellular stromal environment. Unless their borders are breached by infection, organs such as the kidney and the pancreas have been thought to be completely sterile. With modern metagenomic profiling, which can identify fastidious and previously unculturable microorganisms, we might find that fewer organ systems are sterile than previously thought, and that the contribution of the microbial microenvironment might have a much more inward-reaching influence than currently assumed. Classifying cancers into sterile and non-sterile, if sterile cancers truly exist, might garner increased biological understanding of tumorigenesis, perhaps providing new avenues for diagnosis and even novel treatment modalities for non-sterile cancers. In the jungle, an acute sense of smell, an awareness of changes in the pattern of bushes moving, and a sensitivity to the sounds and vibrations of a herd far away can help a hunter smoke out a nearby predator or prey. If we view each human organ, and probably subareas of these organs, as a separate ecosystem of symbiotic microbes and human 'terrain', we can better appreciate the interplay of native species within their environmental niche. If we understand cancer to be a predator causing shifts in this delicately balanced jungle, paying attention to the environmental cues dropped by our microbial wildlife might not only broaden our understanding of the ecological community within the jungle but might also help us to refine our cancer-hunting senses.

Competing interests

The authors declare that they have no competing interests.
  9 in total

1.  Reduced diversity of faecal microbiota in Crohn's disease revealed by a metagenomic approach.

Authors:  C Manichanh; L Rigottier-Gois; E Bonnaud; K Gloux; E Pelletier; L Frangeul; R Nalin; C Jarrin; P Chardon; P Marteau; J Roca; J Dore
Journal:  Gut       Date:  2005-09-27       Impact factor: 23.059

2.  A metagenome-wide association study of gut microbiota in type 2 diabetes.

Authors:  Junjie Qin; Yingrui Li; Zhiming Cai; Shenghui Li; Jianfeng Zhu; Fan Zhang; Suisha Liang; Wenwei Zhang; Yuanlin Guan; Dongqian Shen; Yangqing Peng; Dongya Zhang; Zhuye Jie; Wenxian Wu; Youwen Qin; Wenbin Xue; Junhua Li; Lingchuan Han; Donghui Lu; Peixian Wu; Yali Dai; Xiaojuan Sun; Zesong Li; Aifa Tang; Shilong Zhong; Xiaoping Li; Weineng Chen; Ran Xu; Mingbang Wang; Qiang Feng; Meihua Gong; Jing Yu; Yanyan Zhang; Ming Zhang; Torben Hansen; Gaston Sanchez; Jeroen Raes; Gwen Falony; Shujiro Okuda; Mathieu Almeida; Emmanuelle LeChatelier; Pierre Renault; Nicolas Pons; Jean-Michel Batto; Zhaoxi Zhang; Hua Chen; Ruifu Yang; Weimou Zheng; Songgang Li; Huanming Yang; Jian Wang; S Dusko Ehrlich; Rasmus Nielsen; Oluf Pedersen; Karsten Kristiansen; Jun Wang
Journal:  Nature       Date:  2012-09-26       Impact factor: 49.962

3.  Variations of oral microbiota are associated with pancreatic diseases including pancreatic cancer.

Authors:  James J Farrell; Lei Zhang; Hui Zhou; David Chia; David Elashoff; David Akin; Bruce J Paster; Kaumudi Joshipura; David T W Wong
Journal:  Gut       Date:  2011-10-12       Impact factor: 23.059

4.  Duodenal infusion of donor feces for recurrent Clostridium difficile.

Authors:  Els van Nood; Anne Vrieze; Max Nieuwdorp; Susana Fuentes; Erwin G Zoetendal; Willem M de Vos; Caroline E Visser; Ed J Kuijper; Joep F W M Bartelsman; Jan G P Tijssen; Peter Speelman; Marcel G W Dijkgraaf; Josbert J Keller
Journal:  N Engl J Med       Date:  2013-01-16       Impact factor: 91.245

5.  A molecular analysis of the bacteria present within oral squamous cell carcinoma.

Authors:  Samuel J Hooper; St-John Crean; Michael J Fardy; Michael A O Lewis; David A Spratt; William G Wade; Melanie J Wilson
Journal:  J Med Microbiol       Date:  2007-12       Impact factor: 2.472

Review 6.  Exploring the link between microorganisms and oral cancer: a systematic review of the literature.

Authors:  Samuel J Hooper; Melanie J Wilson; St John Crean
Journal:  Head Neck       Date:  2009-09       Impact factor: 3.147

7.  Microbiomic subprofiles and MDR1 promoter methylation in head and neck squamous cell carcinoma.

Authors:  Gurkan Bebek; Kristi L Bennett; Pauline Funchain; Rebecca Campbell; Rahul Seth; Joseph Scharpf; Brian Burkey; Charis Eng
Journal:  Hum Mol Genet       Date:  2011-12-15       Impact factor: 6.150

8.  Human intestinal lumen and mucosa-associated microbiota in patients with colorectal cancer.

Authors:  Weiguang Chen; Fanlong Liu; Zongxin Ling; Xiaojuan Tong; Charlie Xiang
Journal:  PLoS One       Date:  2012-06-28       Impact factor: 3.240

9.  A core gut microbiome in obese and lean twins.

Authors:  Peter J Turnbaugh; Micah Hamady; Tanya Yatsunenko; Brandi L Cantarel; Alexis Duncan; Ruth E Ley; Mitchell L Sogin; William J Jones; Bruce A Roe; Jason P Affourtit; Michael Egholm; Bernard Henrissat; Andrew C Heath; Rob Knight; Jeffrey I Gordon
Journal:  Nature       Date:  2008-11-30       Impact factor: 49.962

  9 in total
  1 in total

1.  IMPARO: inferring microbial interactions through parameter optimisation.

Authors:  Rajith Vidanaarachchi; Marnie Shaw; Sen-Lin Tang; Saman Halgamuge
Journal:  BMC Mol Cell Biol       Date:  2020-08-19
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.