Population dynamics of EMT elucidates the timing and distribution of phenotypic intra-tumoral heterogeneity

Negligible Long-Term Impact of Nonlinear Growth Dynamics on Heterogeneity in Models of Cancer Cell Populations

Linear compartmental models are often employed to capture the change in cell type composition of cancer cell populations. Yet, these populations usually grow in a nonlinear fashion. This begs the question of how linear compartmental models can successfully describe the dynamics of cell types. Here, we propose a general modeling framework with a nonlinear part capturing growth dynamics and a linear part capturing cell type transitions. We prove that dynamics in this general model are asymptotically equivalent to those governed only by its linear part under a wide range of assumptions for nonlinear growth.

Factors Determining Epithelial-Mesenchymal Transition in Cancer Progression

Epithelial-mesenchymal transition (EMT) is a process in which an epithelial cell undergoes multiple modifications, acquiring both morphological and functional characteristics of a mesenchymal cell. This dynamic process is initiated by various inducing signals that activate numerous signaling pathways, leading to the stimulation of transcription factors. EMT plays a significant role in cancer progression, such as metastasis and tumor heterogeneity, as well as in drug resistance. In this article, we studied molecular mechanisms, epigenetic regulation, and cellular plasticity of EMT, as well as microenvironmental factors influencing this process. We included both in vivo and in vitro models in EMT investigation and clinical implications of EMT, such as the use of EMT in curing oncological patients and targeting its use in therapies. Additionally, this review concludes with future directions and challenges in the wide field of EMT.

Epithelial-mesenchymal plasticity in cancer: signaling pathways and therapeutic targets

Currently, cancer is still a leading cause of human death globally. Tumor deterioration comprises multiple events including metastasis, therapeutic resistance and immune evasion, all of which are tightly related to the phenotypic plasticity especially epithelial-mesenchymal plasticity (EMP). Tumor cells with EMP are manifest in three states as epithelial-mesenchymal transition (EMT), partial EMT, and mesenchymal-epithelial transition, which orchestrate the phenotypic switch and heterogeneity of tumor cells via transcriptional regulation and a series of signaling pathways, including transforming growth factor-β, Wnt/β-catenin, and Notch. However, due to the complicated nature of EMP, the diverse process of EMP is still not fully understood. In this review, we systematically conclude the biological background, regulating mechanisms of EMP as well as the role of EMP in therapy response. We also summarize a range of small molecule inhibitors, immune-related therapeutic approaches, and combination therapies that have been developed to target EMP for the outstanding role of EMP-driven tumor deterioration. Additionally, we explore the potential technique for EMP-based tumor mechanistic investigation and therapeutic research, which may burst vigorous prospects. Overall, we elucidate the multifaceted aspects of EMP in tumor progression and suggest a promising direction of cancer treatment based on targeting EMP.

Protocol for inferring epithelial-to-mesenchymal transition trajectories from single-cell RNA sequencing data using R

The epithelial-to-mesenchymal transition (EMT) provides crucial insights into the metastatic process and possesses prognostic value within the cancer context. Here, we present COMET, an R package for inferring EMT trajectories and inter-state transition rates from single-cell RNA sequencing data. We describe steps for finding the optimal number of EMT genes for a specific context, estimating EMT-related trajectories, optimal fitting of continuous-time Markov chain to inferred trajectories, and estimating inter-state transition rates.

Molecular mechanism underlying epithelial-mesenchymal transformation and cisplatin resistance in esophageal squamous cell carcinoma

Esophageal cancer (EC) occupies the seventh spot of the most prevalent malignancy cancer ailments worldwide and the sixth leading cause of cancer-related death. Esophageal squamous cell carcinoma (ESCC) is also the most predominant histological subtype of EC, and cisplatin (DDP) is commonly used as a first-line chemotherapeutic drug for the late advanced stages of the disease. However, the emergence of drug resistance during clinical treatment possesses a significant challenge to the therapeutic success and patient outcomes. Collectively, the epithelial-mesenchymal transformation (EMT) is a process in which transcription factors are induced to regulate the expression of epithelial and stromal markers to promote the differentiation of epithelial cells into stromal cells. Recent studies have demonstrated a close association between EMT and chemotherapy resistance in tumor cells, with concrete evidence of reciprocal reinforcement. Therefore, in this review, we elucidate the molecular mechanism underlying ESCC, shed light on the mechanisms driving DDP resistance, and provide insights into the intricate interplay between EMT and ESCC. We have aimed to provide some new hypotheses and perspectives that may address-inform future therapeutic strategies for ESCC treatment.