Quantifying replicative senescence as a tumor suppressor pathway and a target for cancer therapy

Temporal regulation of gene expression and pathways in chemotherapy-induced senescence in HeLa cervical cancer cell line

Cellular senescence is the state of permanent growth arrest. Chemotherapeutic drugs induce senescence, known as therapy-induced senescence. Although there are studies deciphering processes in senescence, more studies providing detailed information on therapy-induced senescence at the transcriptome level are needed. In order to understand temporal molecular changes of doxorubicin treatment in the course of senescence formation, two data sets from HeLa cells at 16 h and 72 h doxorubicin treatment were analyzed. GO BP enrichment, KEGG pathways and hub genes specific to or shared between 16 h and 72 h doxorubicin treated HeLa cells were identified. Genes functioning in p53 signaling were upregulated only in 16 h, while genes functioning in extracellular matrix organization were upregulated only in 72 h doxorubicin treated HeLa cells. Wound healing genes were gradually upregulated from 16 h to 72 h doxorubicin treatment and metabolic pathways were downregulated at both. ncRNA processing and ribosome biogenesis GO BP terms were enriched in upregulated genes at 16 h, while these terms were enriched in downregulated genes at 72 h senescent HeLa cells. According to our results, genes functioning in p53 signaling may be involved in the induction of senescence, but may not be required to maintain senescence in HeLa cells.

Extended lifespan and improved genome stability in HepaRG-derived cell lines through reprogramming by high-density stress

The characteristics and fate of cancer cells partly depend on their environmental stiffness, i.e., the local mechanical cues they face. HepaRG progenitors are liver carcinoma cells exhibiting transdifferentiation properties; however, the underlying mechanisms remain unknown. To evaluate the impact of external physical forces mimicking the tumor microenvironment, we seeded them at very high density for 20 h, keeping the cells round and unanchored to the substrate. Applied without corticoids, spatial confinement due to very high density induced reprogramming of HepaRG cells into stable replicative stem-like cells after replating at normal density. Redifferentiation of these stem-like cells into cells very similar to the original HepaRG cells was then achieved using the same stress but in the presence of corticoids. This demonstrates that the cells retained the memory required to run the complete hepatic differentiation program, after bypassing the Hayflick limit twice. We show that physical stress improved chromosome quality and genomic stability, through greater efficiency of DNA repair and restoration of telomerase activity, thus enabling cells to escape progression to a more aggressive cancer state. We also show the primary importance of high-density seeding, possibly triggering compressive stress, in these processes, rather than that of cell roundness or intracellular tensional signals. The HepaRG-derived lines established here considerably extend the lifespan and availability of this surrogate cell system for mature human hepatocytes. External physical stress is a promising way to create a variety of cell lines, and it paves the way for the development of strategies to improve cancer prognosis.

Aberrant HMGA2 Expression Sustains Genome Instability That Promotes Metastasis and Therapeutic Resistance in Colorectal Cancer

Colorectal cancer (CRC) is one of the most lethal cancers worldwide, accounting for nearly ~10% of all cancer diagnoses and deaths. Current therapeutic approaches have considerably increased survival for patients diagnosed at early stages; however, ~20% of CRC patients are diagnosed with late-stage, metastatic CRC, where 5-year survival rates drop to 6–13% and treatment options are limited. Genome instability is an enabling hallmark of cancer that confers increased acquisition of genetic alterations, mutations, copy number variations and chromosomal rearrangements. In that regard, research has shown a clear association between genome instability and CRC, as the accumulation of aberrations in cancer-related genes provides subpopulations of cells with several advantages, such as increased proliferation rates, metastatic potential and therapeutic resistance. Although numerous genes have been associated with CRC, few have been validated as predictive biomarkers of metastasis or therapeutic resistance. A growing body of evidence suggests a member of the High-Mobility Group A (HMGA) gene family, HMGA2, is a potential biomarker of metastatic spread and therapeutic resistance. HMGA2 is expressed in embryonic tissues and is frequently upregulated in aggressively growing cancers, including CRC. As an architectural, non-histone chromatin binding factor, it initiates chromatin decompaction to facilitate transcriptional regulation. HMGA2 maintains the capacity for stem cell renewal in embryonic and cancer tissues and is a known promoter of epithelial-to-mesenchymal transition in tumor cells. This review will focus on the known molecular mechanisms by which HMGA2 exerts genome protective functions that contribute to cancer cell survival and chemoresistance in CRC.

Beyond the pair approximation: Modeling colonization population dynamics

The process of range expansion (colonization) is one of the basic types of biological dynamics, whereby a species grows and spreads outwards, occupying new territories. Spatial modeling of this process is naturally implemented as a stochastic cellular automaton, with individuals occupying nodes on a rectangular grid, births and deaths occurring probabilistically, and individuals only reproducing onto unoccupied neighboring spots. In this paper we derive several approximations that allow prediction of the expected range expansion dynamics, based on the reproduction and death rates. We derive several approximations, where the cellular automaton is described by a system of ordinary differential equations that preserves correlations among neighboring spots (up to a distance). This methodology allows us to develop accurate approximations of the population size and the expected spatial shape, at a fraction of the computational time required to simulate the original stochastic system. In addition, we provide simple formulas for the steady-state population densities for von Neumann and Moore neighborhoods. Finally, we derive concise approximations for the speed of range expansion in terms of the reproduction and death rates, for both types of neighborhoods. The methodology is generalizable to more complex scenarios, such as different interaction ranges and multiple-species systems.

TERT promoter alterations could provide a solution for Peto's paradox in rodents

Cancer is a genetic disease caused by changes in gene expression resulting from somatic mutations and epigenetic changes. Although the probability of mutations is proportional with cell number and replication cycles, large bodied species do not develop cancer more frequently than smaller ones. This notion is known as Peto's paradox, and assumes stronger tumor suppression in larger animals. One of the possible tumor suppressor mechanisms involved could be replicative senescence caused by telomere shortening in the absence of telomerase activity. We analysed telomerase promoter activity and transcription factor binding in mammals to identify the key element of telomerase gene inactivation. We found that the GABPA transcription factor plays a key role in TERT regulation in somatic cells of small rodents, but its binding site is absent in larger beavers. Protein binding and reporter gene assays verify different use of this site in different species. The presence or absence of the GABPA TF site in TERT promoters of rodents correlates with TERT promoter activity; thus it could determine whether replicative senescence plays a tumor suppressor role in these species, which could be in direct relation with body mass. The GABPA TF binding sites that contribute to TERT activity in somatic cells of rodents are analogous to those mutated in human tumors, which activate telomerase by a non-ALT mechanism.

A dynamical systems model for the measurement of cellular senescence

Senescent cells provide a good in vitro model to study ageing. However, cultures of ‘senescent’ cells consist of a mix of cell subtypes (proliferative, senescent, growth-arrested and apoptotic). Determining the proportion of senescent cells is crucial for studying ageing and developing new anti-degenerative therapies. Commonly used markers such as doubling population, senescence-associated β-galactosidase, Ki-67, γH2AX and TUNEL assays capture diverse and overlapping cellular populations and are not purely specific to senescence. A newly developed dynamical systems model follows the transition of an initial culture to senescence tracking population doubling, and the proportion of cells in proliferating, growth-arrested, apoptotic and senescent states. Our model provides a parsimonious description of transitions between these states accruing towards a predominantly senescent population. Using a genetic algorithm, these model parameters are well constrained by an in vitro human primary fibroblast dataset recording five markers at 16 time points. The computational model accurately fits to the data and translates these joint markers into the first complete description of the proportion of cells in different states over the lifetime. The high temporal resolution of the dataset demonstrates the efficacy of strategies for reconstructing the trajectory towards replicative senescence with a minimal number of experimental recordings.

The role of telomere shortening in carcinogenesis: A hybrid stochastic-deterministic approach

Genome instability is a characteristic of most cancers, contributing to the acquisition of genetic alterations that drive tumor progression. One important source of genome instability is linked to telomere dysfunction in cells with critically short telomeres that lack p53-mediated surveillance of genomic integrity. Here we research the probability that cancer emerges through an evolutionary pathway that includes a telomere-induced phase of genome instability. To implement our models we use a hybrid stochastic-deterministic approach, which allows us to perform large numbers of simulations using biologically realistic population sizes and mutation rates, circumventing the traditional limitations of fully stochastic algorithms. The hybrid methodology should be easily adaptable to a wide range of evolutionary problems. In particular, we model telomere shortening and the acquisition of two mutations: Telomerase activation and p53 inactivation. We find that the death rate of unstable cells, and the number of cell divisions that p53 mutants can sustain beyond the normal senescence setpoint determine the likelihood that the first double mutant originates in a cell with telomere-induced instability. The model has applications to an influential telomerase-null mouse model and p16 silenced human cells. We end by discussing algorithmic performance and a measure for the accuracy of the hybrid approximation.

Capn4 regulates migration and invasion of ovarian carcinoma cells via targeting osteopontin-mediated PI3K/AKT signaling pathway

Previous studies have demonstrated that calpain small subunit 4 (Capn4) is able to regulate the viability and metastasis of cancer cells. However, the regulatory effects and underlying molecular mechanism of Capn4 in ovarian carcinoma cells are not well understood. The purpose of the present study was to investigate the role of Capn4 in ovarian carcinoma cells and analyze the possible mechanism mediated by Capn4. The expression levels of Capn4 and osteopontin (OPN) were determined and the phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT) signaling pathway was analyzed in ovarian carcinoma cells. The results of the present study revealed that Capn4 and OPN were overexpressed in clinical ovarian carcinoma tissues and ovarian carcinoma cells. Capn4 silencing downregulated OPN expression, and suppressed ovarian carcinoma cell viability and migration. Capn4 silencing enhanced apoptosis of ovarian carcinoma cells by increasing activity of the capase-3 apoptosis signaling pathway. Capn4 promoted the metastasis of ovarian carcinoma cells by interacting with the PI3K/AKT signaling pathway via upregulation of OPN expression. In conclusion, the results of the present study indicate that Capn4 may be a potential therapeutic target for the treatment of ovarian carcinoma.

Unlocking the chromatin of adenoid cystic carcinomas using HDAC inhibitors sensitize cancer stem cells to cisplatin and induces tumor senescence

Adenoid cystic carcinoma (ACC) is an uncommon malignancy of the salivary glands that is characterized by local recurrence and distant metastasis due to its resistance to conventional therapy. Platinum-based therapies have been extensively explored as a treatment for ACC, but they show little effectiveness. Studies have shown that a specific group of tumor cells, harboring characteristics of cancer stem cells (CSCs), are involved in chemoresistance of myeloid leukemias, breast, colorectal and pancreatic carcinomas. Therapeutic strategies that target CSCs improve the survival of patients by decreasing the rates of tumor relapse, and epigenetic drugs, such as histone deacetylase inhibitors (HDACi), have shown promising results in targeting CSCs. In this study, we investigated the effect of the HDACi Suberoylanilide hydroxamic acid (Vorinostat), and cisplatin, alone or in combination, on CSCs and non-CSCs from ACC. We used CSCs as a biological marker for tumor resistance to therapy in patient-derived xenograft (PDX) samples and ACC primary cells. We found that cisplatin reduced tumor viability, but enriched the population of CSCs. Systemic administration of Vorinostat reduced the number of detectable CSCs in vivo and in vitro, and a low dose of Vorinostat decreased tumor cell viability. However, the combination of Vorinostat and cisplatin was extremely effective in depleting CSCs and reducing tumor viability in all ACC primary cells by activating cellular senescence. These observations suggest that HDACi and intercalating agents act more efficiently in combination to destroy tumor cells and their stem cells.