ReviewCancer, aging and the optimal tissue design
Introduction
The normal functioning of colon relies on the fine-tuned balance of the epithelial cell production, differentiation and death. The regulation of the processes of cell proliferation and shedding occurs at the level of crypts – the folds of colonic epithelium which are continuously renewed by stem cell division. The appearance of dysplastic crypts in the beginning of colorectal cancers is a manifestation of the broken balance between cell division and apoptosis. At the molecular level, it has been shown that the earliest event of sporadic colorectal cancers is the inactivation of the APC gene [1], [2], or other genes involved in the Wnt pathway [3], [4]. The APC gene inhibits members of the Wnt signaling pathway, which promote the expression of -catenin. In its turn, -catenin acts as an enhancer of cell division [5].
cells are replaced daily in a human colon [6]. This makes colon (like other fast-turnover, epithelial tissues) a vulnerable spot for generating malignant mutants. Quoting ref. [7], “the evolutionary imperative of vertebrates has been to find a way to allow cell proliferation when needed, while at the same time efficiently suppressing the genesis of mutated cells leading to deregulated growth”. The cellular architecture of a colon is a fine example of an evolutionary design where the probability of malignant transformation is in some sense minimized. Tissue design of the colon is shaped by the evolutionary pressure to reduce the likelihood of cancer in young individuals, to improve their chance of survival and reproduction. How this affects the architecture of a colon, and what consequences this process has on cancer incidence in the older age is the topic of the present paper.
In what follows, we will review some facts about the structure of a colon, with the main emphasis on the balance between stem cells and daughter cells. Then we will discuss the roles of stem cells and transit/differentiated cells in generation of cancer. Next, we will define what it means to have an “optimal solution” for crypt design from the point of view of evolutionary dynamics. We will talk about a mathematical approach which can infer the optimal design based on the requirement that cancer onset should be pushed as far in age as possible. It turns out that what’s good for the young may be bad for the old. This will then be discussed in relation to cancer as a disease of the elderly.
Section snippets
The architecture of a colon: the knowns and unknowns
The inner surface of the colon is lined with crypts, the folds of colonic epithelium which are continuously renewed by stem cell division. We assume that stem cells are located in a niche at the base of each crypt. They are characterized by an asymmetric division pattern resulting in one stem cell and one proliferative daughter cell. The latter cells divide and populate the migrating compartment. Cells of the migrating compartment go through a number of symmetric divisions, moving toward the
Three scenarios of developing dysplasia
Let us first describe the process of accumulation and spread of mutations inside the “lineage” of one stem cell (the stem cell and its progeny can be called “the lineage” of the stem-cell, because of its monoclonality). There are three logical possibilities of how mutations can be acquired, see Fig. 3.
- (i)
In the scenario, Fig. 3(a), a mutation happens in the stem cell. Then, after a few divisions, the entire lineage will consist of mutated cells. At some point, a secondmutation occurs in the SC,
Origins of cancer and the problem of optimal design
In the previous section we have made the first step to address the questions of tissue design as a way to protect the body from accumulation of dangerous mutations. What is the optimal architecture of the colon tissue in terms of the fraction of stem cells versus daughter/differentiated cells? One extreme scenario is when there is only one stem cell that is responsible for replenishing the entire crypt, see Fig. 6. This cell gives rise to a very large ”tree” of dividing transit cells of
Discussion
We have developed a multi-compartment model of colon which allows for different numbers of stem cells per colonic crypt. By using in silico experiments and mathematical analysis we were able to investigate what proportion of stem cells was optimal for the organism from the point of view of accumulation of mutations. We concentrated on a two-hit process, where cancer initiation is associated with a cell acquiring a double-hit, such as the inactivation of two copies of an APC gene in colon
Acknowledgement
The author gratefuly acknowledges the support from the Sloan Fellowship.
References (48)
The oncogenic activation of beta-catenin
Curr Opin Genet Dev
(1999)- et al.
Pretumor progression: clonal evolution of human stem cell populations
Am J Pathol
(2004) - et al.
Stem cells: a new lease on life
Cell
(2000) - et al.
The beta-catenin/TCF-4 complex imposes a crypt progenitor phenotype on colorectal cancer cells
Cell
(2002) - et al.
Highly purified primitive hematopoietic stem cells are PML-RARA negative and generate nonclonal progenitors in acute promyelocytic leukemia
Blood
(1995) - et al.
Altered myeloid development and acute leukemia in transgenic mice expressing PML-RAR alpha under control of cathepsin G regulatory sequences
Blood
(1997) - et al.
Seed versus soil: the importance of the target cell for transgenic models of human leukemias
Blood
(1999) - et al.
High-penetrance mouse model of acute promyelocytic leukemia with very low levels of PML-RARalpha expression
Blood
(2003) Tumor suppressor genes
Curr Opin Genet Dev
(2000)- et al.
A statistical model to estimate variance in long term-low dose mutation assays: testing of the model in a human lymphoblastoid mutation assay
Mutat Res
(1989)
Aging, tumor suppression and cancer: high wire-act
Mech Ageing Dev
Senescent cells, tumor suppression, and organismal aging: good citizens, bad neighbors
Cell
The Genetic Basis of Human Cancer
The adenomatous polyposis coli (APC) tumor suppressor
Biochim Biophys Acta
WNT2 and human gastrointestinal cancer (review)
Int J Mol Med
Functional interaction of an axin homolog, conductin, with beta-catenin, APC, and GSK3beta
Science
The intestinal epithelial stem cell: the mucosal governor
Int J Exp Pathol
Proliferation, cell cycle and apoptosis in cancer
Nature
Secretagogue response of goblet cells and columnar cells in human colonic crypts
Am J Physiol Cell Physiol
The small intestine as a model for evaluating adult tissue stem cell drug targets
Cell Prolif
Methylation reveals a niche: stem cell succession in human colon crypts
Oncogene
The intestinal epithelial stem cell
Bioessays
Investigating stem cells in human colon by using methylation patterns
Proc Natl Acad Sci USA
Gut instincts: thoughts on intestinal epithelial stem cells
J Clin Invest
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