From genetic mosaicism to tumorigenesis through indirect genetic effects.

Genetic mosaicism has long been linked to aging, and several hypotheses have been proposed to explain the potential connections between mosaicism and susceptibility to cancer. It has been proposed that mosaicism may disrupt tissue homeostasis by affecting intercellular communications and releasing microenvironmental constraints within tissues. The underlying mechanisms driving these tissue-level influences remain unidentified, however. Here, we present an evolutionary perspective on the interplay between mosaicism and cancer, suggesting that the tissue-level impacts of genetic mosaicism can be attributed to Indirect Genetic Effects (IGEs). IGEs can increase the level of cellular stochasticity and phenotypic instability among adjacent cells, thereby elevating the risk of cancer development within the tissue. Moreover, as cells experience phenotypic changes in response to challenging microenvironmental conditions, these changes can initiate a cascade of nongenetic alterations, referred to as Indirect non-Genetic Effects (InGEs), which in turn catalyze IGEs among surrounding cells. We argue that incorporating both InGEs and IGEs into our understanding of the process of oncogenic transformation could trigger a major paradigm shift in cancer research with far-reaching implications for practical applications.

From developmental to atavistic bet-hedging: How cancer cells pervert the exploitation of random single-cell phenotypic fluctuations.

Stochastic gene expression plays a leading developmental role through its contribution to cell differentiation. It is also proposed to promote phenotypic diversification in malignant cells. However, it remains unclear if these two forms of cellular bet-hedging are identical or rather display distinct features. Here we argue that bet-hedging phenomena in cancer cells are more similar to those occurring in unicellular organisms than to those of normal metazoan cells. We further propose that the atavistic bet-hedging strategies in cancer originate from a hijacking of the normal developmental bet-hedging of metazoans. Finally, we discuss the constraints that may shape the atavistic bet-hedging strategies of cancer cells.

Tuning the expression of the bacterial relBE toxin-antitoxin system in Saccharomyces cerevisiae allows characterizing the subsequent growth inhibition.

The bacterial toxin-antitoxin systems are each composed of a toxin, which severely inhibits bacterial cells growth, and a specific neutralizing antitoxin. Some toxin-antitoxin systems are functional when expressed in the yeast Saccharomyces cerevisiae. For instance, the expression of the relE toxin gene leads to a strong growth defect in yeast, whereas the expression of the relB antitoxin gene restores growth. Nevertheless, there is no available data regarding the required expression levels of each component of the relBE system leading to these growth phenotypes, neither their effects on cell viability. Here we used a double inducible plasmid-based system to independently modulate the relative amounts of relB and relE, and performed growth and gene expression analyses. These results allow us to correlate growth phenotypes to the expression levels of the toxin and the antitoxin, and to determine the levels necessary to observe either a strong growth inhibition or a normal growth. We also showed that the relE expression produces cell cycle progression defect without affecting cell viability. These results provide a detailed characterization of the functioning of the relBE system in S. cerevisiae, and open applicative perspectives of yeast growth control by bacterial toxin-antitoxin systems.

Tissue-disruption-induced cellular stochasticity and epigenetic drift: Common origins of aging and cancer?

Age-related and cancer-related epigenomic modifications have been associated with enhanced cell-to-cell gene expression variability that characterizes increased cellular stochasticity. Since gene expression variability appears to be highly reduced by-and epigenetic and phenotypic stability acquired through-direct or long-range cellular interactions during cell differentiation, we propose a common origin for aging and cancer in the failure to control cellular stochasticity by cell-cell interactions. Tissue-disruption-induced cellular stochasticity associated with epigenetic drift would be at the origin of organ dysfunction because of an increase in phenotypic variation among cells, ultimately leading to cell death and organ failure through a loss of coordination in cellular functions, and eventually to cancerization. We propose mechanistic research perspectives to corroborate this hypothesis and explore its evolutionary consequences, highlighting a positive correlation between the median age of mass loss onset (a proxy for the onset of organ aging) and the median age at cancer diagnosis.

Bimodality of gene expression from yeast promoter can be instigated by DNA context, inducing conditions and strain background.

Bimodality in gene expression is thought to provide a high phenotypic heterogeneity that can be favourable for adaptation or unfavourable notably in industrial processes that require stable and homogeneous properties. Whether this property is produced or suppressed in different conditions has been understudied. Here we identified tens of Saccharomyces cerevisiae genomic fragments conferring bimodal yEGFP expression on centromeric plasmid and studied some of these promoters in different DNA contexts, inducing conditions or strain backgrounds. First, we observed that the bimodal behaviour identified on plasmid is generally suppressed at the genomic level. Second, an inducible promoter such as the copper-regulated CUP1 promoter can produce bimodal expression in a time- and dose-dependent fashion. For a given copper sulphate concentration, a constant proportion of the subpopulation is induced and only the induction level of this subpopulation changed with induction duration, while for a same induction time, higher copper sulphate concentrations induced more cells at higher levels. Third, we showed that bimodality conferred by the CUP1 promoter in expression profile is strain background dependent, revealing epistasis in the generation of bimodality. The influence of these parameters on bimodality has to be taken into account when considering transgene expression for industrial microbial productions.

Tissue disruption increases stochastic gene expression thus producing tumors: Cancer initiation without driver mutation.

Cancer research produced many paradoxical results in recent years. The reductionist approach now shows its limits. Considering the origin of the disease at the tissue level and increased stochastic gene expression (SGE) as a driving force, while admitting a role for genetic alterations in cancer progression, might solve these contradictions. Undifferentiated cells are characterized by open and accessible chromatin generating global and highly SGE (high expression noise) which is a hallmark of pluripotency, while differentiation is associated with progressive chromatin closing and decreased noise. Cell-cell interactions stabilize phenotypes and homogenize expression patterns from cell-to-cell during development and differentiation, while disruption of these interactions is responsible for increased expression noise that might be the causal event in cancer by producing phenotypic plasticity. It would produce cancer stem cells defined as cells exhibiting increased SGE that are no more controlled by the microenvironment. Following tissue disruption, differentiation and/or quiescence would no longer be maintained because of SGE. Genetic and epigenetic instabilities would necessary appear, increasing the risk of malignant transformation. The classical perspective is reversed: disruption of the tissue equilibrium is the initiator event, and genetic alterations are tumor "promoters." The major role of genetic modifications in cancer progression is not denied, but microenvironmental and epigenetic alterations would precede the emergence of cancer. If mutagenic exposure, cancer predisposition or spontaneous mutations have already produced genetic alterations, precancerous cells would become more aggressive more rapidly, increasing the probability that a tumor forms, but only if the correct microenvironment is not maintained.

Use of noise in gene expression as an experimental parameter to test phenotypic effects.

During the last decade, the molecular basis for gene expression noise has been mostly deciphered, helping understanding of how gene regulation is controlled and how the generation of cell-cell non-genetic heterogeneity is modulated through noise. In the same period, the functional importance of phenotypic heterogeneity among cell populations has been recognized and widely involved in major biological phenomena. Surprisingly, only a few studies connect these two highly active research fields, most of them having been obtained using the yeast Saccharomyces cerevisiae. This organism has long been the preferred model for studying many aspects of gene expression noise, especially revealing that evolution seems to act to either increase or decrease gene expression noise, depending on whether the associated phenotypic heterogeneity is beneficial or deleterious to the population. Nevertheless, direct evidences of phenotypic consequences of noise differences are often lacking, in spite of this evolutionary tendency. This rarity is probably due to the complex relationships between mean and noise levels, making the study of the sole effect of noise difficult, and also to problems caused by the detection of cell-cell expression variability of native functional proteins, allowing the testing of specific phenotypic effects. Despite these difficulties, the widespread use of gene expression noise as an experimental parameter at equal mean expression levels to test phenotypic consequences would often help to change explanations of cell population behaviour beyond the simple consideration of average expression levels, and constitute a major step towards single-cell biology. Copyright © 2016 John Wiley & Sons, Ltd.

Stochastic gene expression stabilization as a new therapeutic strategy for cancer.

Current differentiation therapies for cancer may not be effective because it might not be enough to only use molecules targeting chromatin remodelers. It may also be necessary to stabilize the re-expressed genes to convert malignant cells into benign ones.

[Stochastic phenomena and the tumoral process]. / Le rôle des phénomènes aléatoires dans le cancer.

In the reductionist perspective, genetic modifications are considered to initiate cancer. Their appearance is a stochastic phenomenon, but there are some biases linked to DNA sequence or exposure to mutagenic agents for instance. Cancer genome sequencing has shown a high inter- and intra-tumoral heterogeneity, sometimes questioning the genetic origin of cancer. Other stochastic processes are also studied in cancer, especially epigenetic modifications. They have a major role in diversifying phenotypes among cancer cells in the progression steps, but might also provide an alternative to genetic theories of cancer initiation. Nevertheless, the reductionist framework remains dominant here. Finally, stochastic cell-to-cell variations in gene expression constitute a third class of stochastic phenomena that can be considered as causal factors in cancer. Highlighting the role of high gene expression variability due to disruption of cellular interactions and communications allows avoiding reductionism by considering the interplay between genetic and tissue levels at every step of the disease. No organization level is privileged in this alternative theory.

Drug tolerance and persistence in bacteria, fungi and cancer cells: Role of non-genetic heterogeneity.

A common feature of bacterial, fungal and cancer cell populations upon treatment is the presence of tolerant and persistent cells able to survive, and sometimes grow, even in the presence of usually inhibitory or lethal drug concentrations, driven by non-genetic differences among individual cells in a population. Here we review and compare data obtained on drug survival in bacteria, fungi and cancer cells to unravel common characteristics and cellular pathways, and to point their singularities. This comparative work also allows to cross-fertilize ideas across fields. We particularly focus on the role of gene expression variability in the emergence of cell-cell non-genetic heterogeneity because it represents a possible common basic molecular process at the origin of most persistence phenomena and could be monitored and tuned to help improve therapeutic interventions.

Genomic and metabolic instability during long-term fermentation of an industrial Saccharomyces cerevisiae strain engineered for C5 sugar utilization.

The genetic stability and metabolic robustness of production strains is one of the key criteria for the production of bio-based products by microbial fermentation on an industrial scale. These criteria were here explored in an industrial ethanol-producer strain of Saccharomyces cerevisiae able to co-ferment D-xylose and L-arabinose with glucose through the chromosomal integration of several copies of pivotal genes for the use of these pentose (C5) sugars. Using batch sequential cultures in a controlled bioreactor that mimics long-term fermentation in an industrial setting, this strain was found to exhibit significant fluctuations in D-xylose and L-arabinose consumption as early as the 50th generation and beyond. These fluctuations seem not related to the few low-consumption C5 sugar clones that appeared throughout the sequential batch cultures at a frequency lower than 1.5% and that were due to the reduction in the number of copies of transgenes coding for C5 sugar assimilation enzymes. Also, subpopulations enriched with low or high RAD52 expression, whose expression level was reported to be proportional to homologous recombination rate did not exhibit defect in C5-sugar assimilation, arguing that other mechanisms may be responsible for copy number variation of transgenes. Overall, this work highlighted the existence of genetic and metabolic instabilities in an industrial yeast which, although modest in our conditions, could be more deleterious in harsher industrial conditions, leading to reduced production performance.

A new perspective on tumor progression: Evolution via selection for function.

Tumorigenesis is commonly attributed to Darwinian processes involving natural selection among cells and groups of cells. However, progressing tumors are those that also achieve an appropriate group phenotypic composition (GPC). Yet, the selective processes acting on tumor GPCs are distinct from that associated with classical Darwinian evolution (i.e. natural selection based on differential reproductive success) as tumors are not genuine evolutionary individuals and do not exhibit heritable variation in fitness. This complex evolutionary scenario is analogous to the recently proposed concept of 'selection for function' invoked for the evolution of both living and non-living systems. Therefore, we argue that it is inaccurate to assert that Darwinian processes alone account for all the aspects characterizing tumorigenesis and cancer progression; rather, by producing the genetic and phenotypic diversity required for creating novel GPCs, these processes fuel the evolutionary success of tumors that is dependent on selection for function at the tumor level.

The Ins and Outs of Endosteal Niche Disruption in the Bone Marrow: Relevance for Myeloma Oncogenesis.

Multiple Myeloma (MM) and its preexisting stage, termed Monoclonal Gammopathy of Undetermined Significance (MGUS), have long been considered mainly as genomic diseases. However, the bone changes observed in both conditions have led to a reassessment of the role of the bone microenvironment, mainly the endosteal niche in their genesis. Here, we consider the disruption of the endosteal niche in the bone marrow, that is, the shift of the endosteal niche from an osteoblastic to an osteoclastic profile produced by bone senescence and inflammaging, as the key element. Thus, this disrupted endosteal niche is proposed to represent the permissive microenvironment necessary not only for the emergence of MM from MGUS but also for the emergence and maintenance of MGUS. Moreover, the excess of osteoclasts would favor the presentation of antigens (Ag) into the endosteal niche because osteoclasts are Ag-presenting cells. As such, they could significantly stimulate the presentation of some specific Ag and the clonal expansion of the stimulated cells as well as favor the expansion of such selected clones because osteoclasts are immunosuppressive. We also discuss this scenario in the Gaucher disease, in which the high incidence of MGUS and MM makes it a good model both at the bone level and the immunological level. Finally, we envisage that this endosteal niche disruption would increase the stochasticity (epigenetic and genetic instability) in the selected clones, according to our Tissue Disruption-induced cell Stochasticity (TiDiS) theory.

Emerging relevance of cell wall components from non-conventional yeasts as functional ingredients for the food and feed industry.

Non-conventional yeast species, or non-Saccharomyces yeasts, are increasingly recognized for their involvement in fermented foods. Many of them exhibit probiotic characteristics that are mainly due to direct contacts with other cell types through various molecular components of their cell wall. The biochemical composition and/or the molecular structure of the cell wall components are currently considered the primary determinant of their probiotic properties. Here we first present the techniques that are used to extract and analyze the cell wall components of food industry-related non-Saccharomyces yeasts. We then review the current understanding of the cell wall composition and structure of each polysaccharide from these yeasts. Finally, the data exploring the potential beneficial role of their cell wall components, which could be a source of innovative functional ingredients, are discussed. Such research would allow the development of high value-added products and provide the food industry with novel inputs beyond the well-established S. cerevisiae.

The impact of food availability on tumorigenesis is evolutionarily conserved.

The inability to control cell proliferation results in the formation of tumors in many multicellular lineages. Nonetheless, little is known about the extent of conservation of the biological traits and ecological factors that promote or inhibit tumorigenesis across the metazoan tree. Particularly, changes in food availability have been linked to increased cancer incidence in humans, as an outcome of evolutionary mismatch. Here, we apply evolutionary oncology principles to test whether food availability, regardless of the multicellular lineage considered, has an impact on tumorigenesis. We used two phylogenetically unrelated model systems, the cnidarian Hydra oligactis and the fish Danio rerio, to investigate the impact of resource availability on tumor occurrence and progression. Individuals from healthy and tumor-prone lines were placed on four diets that differed in feeding frequency and quantity. For both models, frequent overfeeding favored tumor emergence, while lean diets appeared more protective. In terms of tumor progression, high food availability promoted it, whereas low resources controlled it, but without having a curative effect. We discuss our results in light of current ideas about the possible conservation of basic processes governing cancer in metazoans (including ancestral life history trade-offs at the cell level) and in the framework of evolutionary medicine.

The paradox of cooperation among selfish cancer cells.

It is traditionally assumed that during cancer development, tumor cells abort their initially cooperative behavior (i.e., cheat) in favor of evolutionary strategies designed solely to enhance their own fitness (i.e., a "selfish" life style) at the expense of that of the multicellular organism. However, the growth and progress of solid tumors can also involve cooperation among these presumed selfish cells (which, by definition, should be noncooperative) and with stromal cells. The ultimate and proximate reasons behind this paradox are not fully understood. Here, in the light of current theories on the evolution of cooperation, we discuss the possible evolutionary mechanisms that could explain the apparent cooperative behaviors among selfish malignant cells. In addition to the most classical explanations for cooperation in cancer and in general (by-product mutualism, kin selection, direct reciprocity, indirect reciprocity, network reciprocity, group selection), we propose the idea that "greenbeard" effects are relevant to explaining some cooperative behaviors in cancer. Also, we discuss the possibility that malignant cooperative cells express or co-opt cooperative traits normally expressed by healthy cells. We provide examples where considerations of these processes could help understand tumorigenesis and metastasis and argue that this framework provides novel insights into cancer biology and potential strategies for cancer prevention and treatment.

A bone paradigm challenging the standard model of myeloma oncogenesis.

The standard model of multiple myeloma (MM) oncogenesis from monoclonal gammopathy of undetermined significance (MGUS) relies on genetic instability in the normal counterparts of MM cells. However, the importance of both MGUS-associated and MM-induced bone changes has been recently re-appraised, emphasizing the bone microenvironment (BME) as a tissue of significance. In this review, we propose that early BME alterations (bone senescence and inflammation, i.e., bone inflamm'aging) at the pre-MGUS stage could be causal, and not simply permissive, and creative of phenotypic instability and genetic alterations thanks to the concept of tissue disruption-induced cell stochasticity (TiDiS). This article offers a bone scenario challenging the chromosome-and-gene-centric standard model of MM oncogenesis. The high incidence of both MGUS and MM in Gaucher disease supports such a scenario.

The evolution and ecology of benign tumors.

Tumors are usually classified into two main categories - benign or malignant, with much more attention being devoted to the second category given that they are usually associated with more severe health issues (i.e., metastatic cancers). Here, we argue that the mechanistic distinction between benign and malignant tumors has narrowed our understanding of neoplastic processes. This review provides the first comprehensive discussion of benign tumors in the context of their evolution and ecology as well as interactions with their hosts. We compare the genetic and epigenetic profiles, cellular activities, and the involvement of viruses in benign and malignant tumors. We also address the impact of intra-tumoral cell composition and its relationship with the tumoral microenvironment. Lastly, we explore the differences in the distribution of benign and malignant neoplasia across the tree of life and provide examples on how benign tumors can also affect individual fitness and consequently the evolutionary trajectories of populations and species. Overall, our goal is to bring attention to the non-cancerous manifestations of tumors, at different scales, and to stimulate research on the evolutionary ecology of host-tumor interactions on a broader scale. Ultimately, we suggest that a better appreciation of the differences and similarities between benign and malignant tumors is fundamental to our understanding of malignancy both at mechanistic and evolutionary levels.

Interplay between genetic, epigenetic, and gene expression variability: Considering complexity in evolvability.

Genetic variability, epigenetic variability, and gene expression variability (noise) are generally considered independently in their relationship with phenotypic variation. However, they appear to be intrinsically interconnected and influence it in combination. The study of the interplay between genetic and epigenetic variability has the longest history. This article rather considers the introduction of gene expression variability in its relationships with the two others and reviews for the first time experimental evidences over the four relationships connected to gene expression noise. They show how introducing this third source of variability complicates the way of thinking evolvability and the emergence of biological novelty. Finally, cancer cells are proposed to be an ideal model to decipher the dynamic interplay between genetic, epigenetic, and gene expression variability when one of them is either experimentally increased or therapeutically targeted. This interplay is also discussed in an evolutionary perspective in the context of cancer cell drug resistance.