Tumor Dormancy Research Articles

Diapause-like Drug-Tolerant Persister State: The Key to Nirvana Rebirth.

Cancer is one of the leading causes of death in the world. Various drugs have been developed to eliminate it but to no avail because a tumor can go into dormancy to avoid therapy. In the past few decades, tumor dormancy has become a popular topic in cancer therapy. Recently, there has been an important breakthrough in the study of tumor dormancy. That is, cancer cells can enter a reversible drug-tolerant persister (DTP) state to avoid therapy, but no exact mechanism has been found. The study of the link between the DTP state and diapause seems to provide an opportunity for a correct understanding of the mechanism of the DTP state. Completely treating cancer and avoiding dormancy by targeting the expression of key genes in diapause are possible. This review delves into the characteristics of the DTP state and its connection with embryonic diapause, and possible treatment strategies are summarized. The authors believe that this review will promote the development of cancer therapy.

Mitophagy-Mediated Tumor Dormancy Protects Cancer Cells from Chemotherapy.

Despite obvious tumor shrinkage, relapse after chemotherapy remains a main cause of cancer-related mortality, indicating that a subpopulation of cancer cells acquires chemoresistance and lingers after treatment. However, the mechanism involved in the emergence of chemoresistant cells remains largely unknown. Here, we demonstrate that the degradation of mitochondria via autophagy leads to a dormant state in a subpopulation of cancer cells and confers on them resistance to lethal cisplatin (DDP) exposure. The surviving DDP-resistant cells (hereafter, DRCs) have a lower metabolic rate but a stronger potential malignant potential. In the absence of DDP, these DRCs exhibit an ever-increasing self-renewal ability and heightened tumorigenicity. The combination of chloroquine and DDP exerts potent tumor-suppressive effects. In summary, our findings illuminate the mechanism between mitophagy and tumor dormancy and prove that targeting mitophagy might be a promising approach for overcoming chemoresistance in head and neck squamous cell carcinoma (HNSCC).

Abstract C033: The circadian rhythm gene Dec2 promotes pancreatic cancer dormancy by facilitating immune evasion

Abstract Metastatic recurrence following curative-intent pancreatic cancer surgery is a major clinical problem as nearly all die of this at both early and latent periods following surgery. Latent recurrences are due to reactivation of dormant tumor cells that disseminate before the primary tumor has been removed. The mechanisms that drive cancer dormancy are poorly understood in part because of the lack of animal models that recapitulate the biology of the resected patient. Here we introduce a novel mouse model of pancreatic cancer dormancy in which we establish distal pancreatic tumors by orthotopic injection, resect them four weeks later and then follow the mice for recurrence. We observed recurrence patterns and survival outcomes that mimic human patients undergoing surgery for pancreatic cancer where two thirds of the mice succumb to early metastatic recurrence (median survival 26 days) and one third of the mice (called dormant mice) live substantially long (median survival 554 days) without clinical evidence of disease yet harbor disseminated tumor cells in most organs of the body. Disseminated tumor cells isolated from the livers of dormant mice were quiescent, exhibited stem cell properties and upregulated the expression of Dec2, a transcriptional repressor previously best known for its importance in maintaining circadian rhythms. Dec2 enabled the dormant tumor cells to evade the immune system by reducing the amount of MHC1 on their surfaces, and thereby lowered the number of CD8+ T cells within the tumor microenvironment. Knocking out Dec2 significantly improved the overall survival of immunocompetent mice and increased CD8+ T cell tumor infiltration. The decrease in cell surface MHCI was likely due to impaired surface localization of the protein. RNA-seq analysis demonstrated a loss of antigen presentation pathway genes in Dec2 WT cells, particularly in genes encoding subunits of the proteasome. Proper localization of MHC1 is known to depend upon proteasome-generated peptides. By cut-and-run analysis, Dec2 bound directly to the promoters of a number of proteasomal genes, lowered expression of these genes, and decreased proteasomal activity. These studies describe a new mechanism for Dec2 in regulating cancer dormancy through its downregulation of proteasomal activity which in turn converts a hot to a cold TME by decreasing cell surface MHC1. Citation Format: Lan Wang, Orjola Prela, Ching-Hua Shih, Juliana Cazarin de Menezes, Brian Altman, Paula Vertino, Chris Harris, Darren Carpizo. The circadian rhythm gene Dec2 promotes pancreatic cancer dormancy by facilitating immune evasion [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr C033.

MALAT1 protects dormant tumor cells from immune elimination.

MALAT1 protects dormant tumor cells from immune elimination.

Abscisic acid signaling through LANCL2 and PPARγinduces activation of p38MAPK resulting indormancy of prostate cancer metastatic cells.

Prostate cancer (PCa) is one the most common malignancies in men. The high incidence of bone metastasis years after primary therapy suggests that disseminated tumor cells must become dormant, but maintain their ability to proliferate in the bone marrow. Abscisic acid (ABA) is a stress response molecule best known for its regulation of seed germination, stomal opening, root shoot growth and other stress responses in plants. ABA is also synthesized by mammalian cells and has been linked to human disease. The aim of the present study was to examine the role of ABA in regulating tumor dormancy via signaling through lanthionine synthetase C‑like protein 2 (LANCL2) and peroxisome proliferator activated receptor γ (PPARγ) receptors. ABA signaling in human PCa cell lines was studied using targeted gene knockdown (KD), western blotting, quantitative PCR, cell proliferation, migration, invasion and soft agar assays, as well as co‑culture assays with bone marrow stromal cells. The data demonstrated that ABA signaling increased the expression of p21, p27 and p16, while inhibiting viability, migration, invasion and colony size in a reversable manner without toxicity. ABA also induced p38MAPK activation and NR2F1 signaling. Targeted gene KD of LANCL2 and PPARγ abrogated the cellular responses to ABA. Taken together, these data demonstrate that ABA may induce dormancy in PCa cell lines through LANCL2 and PPARγ signaling, and suggest novel targets to manage metastatic PCa growth.

Unveiling the role of cellular dormancy in cancer progression and recurrence.

Cellular dormancy is a major contributor to cancer progression and recurrence. This review explores recent findings on the molecular mechanisms implicated in cancer dormancy and investigates potential strategies to improve therapeutic interventions. Research on cancer dormancy reveals a complex and multifaceted phenomenon. Providing a latent reservoir of tumor cells with reduced proliferation and enhanced drug-tolerance, dormant cancer cells emerge from a clonally diverse population after therapy or at metastatic sites. These cells exhibit distinct transcriptional and epigenetic profiles, involving the downregulation of Myc and mechanistic target of rapamycin (mTOR) pathways, and the induction of autophagy. Senescence traits, under the control of factors such as p53, also contribute significantly. The tumor microenvironment can either promote or prevent dormancy establishment, notably through the involvement of T and NK cells within the dormant tumor niche. Strategies to combat dormancy-related relapse include direct elimination of dormant tumor cells, sustaining dormancy to prolong survival, or awakening dormant cells to re-sensitize them to antiproliferative drugs. Improving our understanding of cancer dormancy at primary and secondary sites provides valuable insights into patient care and relapse prevention.

13C Tracer Analysis and Metabolomics in Dormant Cancer Cells.

Over the last two decades, major advances in the field of tumor dormancy have been made. Yet, it is not completely understood how dormant disseminated tumor cells survive and transition to a proliferative state to generate a metastatic lesion. On the other hand, metabolic rewiring has been shown to influence metastasis development through the modulation of both intracellular signaling and the crosstalk between metastatic cells and their microenvironment. Thus, studying the metabolic features of dormant disseminated tumor cells has gained importance in understanding the dormancy process. Here, we describe a method to perform metabolomics and 13C tracer analysis in 3D cultures of dormant breast cancer cells.

Clinical Tumor Dormancy.

This chapter summarizes clinical evidence on tumor dormancy, with a special focus on our research supporting the role of dormancy both in local and distant recurrence of breast cancer following mastectomy. Starting from these premises, we propose a model of neoplastic development that allows us to elucidate several relevant clinical phenomena, including the mammographic paradox, the significance of ipsilateral breast tumor recurrence after conservative surgery, and the effect of surgeries performed after the removal of the primary. We will discuss the biological implications of the dormancy-based model, which are at odds with Somatic Mutation Theory. We will then review new models, alternatives to the Somatic Mutation Theory, for cancer development, with special emphasis on the Dynamic System Theory and the originality of its conceptual approach. Finally, we will put particular emphasis on the view of cancer development as a tissue-level process. We believe that this will help harmonize the molecular biology research with the new conceptual approach and bridge the knowledge gap on dormancy between bench and bedside.

In Vivo Xenograft Model to Study Tumor Dormancy, Tumor Cell Dissemination and Metastasis.

Metastasis is a complex, multistep process. To study the molecular steps of the metastatic cascade, it is important to use an in vivo system that recapitulates the complex tumor microenvironment. The chicken embryo chorioallantoic membrane (CAM) is an in vivo system suitable for the implantation of xenograft tumor models. It allows the study of different aspects of the metastatic process, including the dormancy-awakening transition. The main advantages of this system are its high reproducibility, cost-effectiveness, and versatility. Here, by using two dormancy tumor models, one of head and neck squamous cell carcinoma and one of breast cancer, we described a detailed protocol for the use of the CAM model in metastasis assays and for the study of tumor growth and dormancy.

Generation of Polyploid Giant Cancer Cells (PGCCs) from Hey Ovarian Cancer Cells and Analysis of Embryonic Properties.

Polyploid giant cancer cells (PGCCs) play a fundamental role in tumor initiation, dormancy, drug resistance, and metastasis, although the detailed biology of PGCCs remains poorly understood. The lack of literature on establishing a reproducible in vitro system for generating PGCCs is the leading technological obstacle to studying the biology of PGCCs. Here we provide a detailed protocol for generating stable PGCCs from Hey cancer cells and studying the PGCCs' embryonic stemness. This protocol includes (1) generating PGCCs of high purity in 2D culture by exposing Hey cells to paclitaxel, monitoring the cell cycle and amitotic budding of daughter cells from PGCCs, and collecting and studying the daughter cells; (2) inducing PGCCs to form spheroids expressing embryonic stemness markers and observing the spheroids' cleavage and blastocyst-like structure; and (3) inducing redifferentiation of PGCCs into different lineages of differentiatedcells.

Immune evasion of dormant disseminated tumor cells is due to their scarcity and can be overcome by T cell immunotherapies

The period between "successful" treatment of localized breast cancer and the onset of distant metastasis can last many years, representing an unexploited window to eradicate disseminated disease and prevent metastases. We find that the source of recurrence-disseminated tumor cells (DTCs) -evade endogenous immunity directed against tumor neoantigens. Although DTCs downregulate major histocompatibility complex I, this does not preclude recognition by conventional Tcells. Instead, the scarcity of interactions between two relatively rare populations-DTCs and endogenous antigen-specific Tcells-underlies DTC persistence. This scarcity is overcome by any one of three immunotherapies that increase the number of tumor-specific Tcells: Tcell-based vaccination, or adoptive transfer of Tcell receptor or chimeric antigen receptor Tcells. Each approach achieves robust DTC elimination, motivating discovery of MHC-restricted and -unrestricted DTC antigens that can be targeted with Tcell-based immunotherapies to eliminate the reservoir of metastasis-initiating cells in patients.

A Live Tracker of Dormant Disseminated Tumor Cells.

The high prevalence of dormant disseminated tumor cells (DTCs) persisting systemically in patients with metastatic cancer is a major threat to long-lasting cure (Aguirre-Ghiso, Nat Rev Cancer 7:834-846, 2007; Klein, Nat Rev Cancer 20(11):681-694, 2020; Lyden et al. Cancer Cell 40:787-791, 2022). Despite its clinical significance, the study of what drives DTCs in and out of dormancy while they linger in distant sites has been challenged by the lack of tools to find and follow dormant DTCs inside a living organism. Here, leveraging the fact that dormant DTCs are mostly quiescent, we describe a live cell reporter to distinguish dormant from cycling DTCs (Correia, Nat Rev Cancer 22(7):379, 2022; Correia et al. Nature 594(7864):566-571, 2021). Cancer cell lines are engineered to coexpress a luciferase-tdTomato reporter and a fluorescent fusion protein of mVenus with a mutant form of the cell cycle inhibitor p27 (mVenus-p27K-) that identifies quiescent cells. When implanted in animal models or assembled in cocultures in vitro, labeled cells can be imaged longitudinally over time or retrieved alive alongside their surrounding microenvironment for downstream gene, protein, and metabolite profiling, allowing the mapping of tissue-specific determinants of cancer dormancy and metastasis.

In Vitro and In Vivo Systems to Study Tumor Dormancy and the Transition to Overt Metastases Induced by the Fibrotic Milieu.

Metastatic breast cancer is a major cause of mortality among breast cancer patients (Sauer et al. Front Oncol: 11:659963, 2021). It may emerge years or even decades after the initial treatment of the primary tumor. This latency in the manifestation of the disease is attributed to the presence of early disseminated tumor cells (DTCs) that lay quiescent (dormant) for years until they emerge as clinically overt metastases. Given that to date we have no treatment to cure metastatic disease, it is vital to investigate ways to eradicate dormant DTCs and/or prevent their emergence to overt metastases. Here, we present a modified 3-dimensional in vitro system to model the in vivo growth characteristics of several tumor cell lines that exhibit either dormant behavior (D2.0R, MCF7) or transient dormant metastatic behavior (D2A1) at a metastatic secondary site. Additionally, we present an in vitro and complementary in vivo system to study the switch from dormancy to metastatic growth driven by a fibrotic-like milieu enriched with the deposition of type I collagen.

Establishing and Characterizing Chemotherapy-Induced Immunological Dormant Tumor Cell Lines.

Chemotherapy, together with radiotherapy, targeted therapies, and immunotherapy, is the main option to treat cancer patients in neoadjuvant/adjuvant setting to reduce the risk of disease progression and metastasis formation from disseminated tumor cells. Cancer cells that survived chemotherapy treatment may emerge with novel characteristics, one of which is the ability to stimulate the native and adaptive immune systems. Models allowing the characterization of chemotherapy-induced tumor cell plasticity and induction of immune response or adaptation are needed to identify novel mechanisms and devise novel therapeutic strategies to prevent relapses. Here we describe a protocol for selecting chemotherapy-resistant cancer cells and testing the in vivo effects on the local and systemic immune responses. While originally developed to characterize the effects of methotrexate and doxorubicin on murine 4T1 breast cancer cells and the relative immune response, the method can be broadened to other chemotherapies and syngeneic cancer models.

Modeling Tumor Cell Dormancy in an Ex Vivo Liver Metastatic Niche.

Despite decades of research into metastatic disease, our knowledge of the mechanisms governing dormancy are still limited. Unraveling the process will aid in developing effective therapies to either maintain or eliminate these dormant cells and thus prevent them from emerging into overt metastatic disease. To study the behavior of dormant tumor cells-mechanisms that promote, maintain, and disrupt this state-we utilize the Legacy LiverChip®, an all-human ex vivo hepatic microphysiological system. This complex, bioengineered system is able to recreate metastatic disease that is reflective of the human situation and is among only a handful of systems able to mimic spontaneous tumor cell dormancy. The dormant subpopulation reflects the defining traits of cellular dormancy-survival in a foreign microenvironment, chemoresistance, and reversible growth arrest. This microphysiological system has and continues to provide critical insights into the biology of dormant tumor cells. It also serves as an accessible tool to identify new therapeutic strategies targeting dormancy and concurrently evaluate the efficacy of therapeutic agents as well as their metabolism and dose-limiting toxicity.

FGFR1 Signaling Facilitates Obesity-Driven Pulmonary Outgrowth in Metastatic Breast Cancer.

Overall, this study developed a novel DIO model that allowed for demonstration of FGF2:FGFR1 signaling as a key molecular mechanism connecting obesity to breakage of systemic tumor dormancy and metastatic progression.

Mathematical model predicts tumor control patterns induced by fast and slow cytotoxic T lymphocyte killing mechanisms

Immunotherapy has dramatically transformed the cancer treatment landscape largely due to the efficacy of immune checkpoint inhibitors (ICIs). Although ICIs have shown promising results for many patients, the low response rates in many cancers highlight the ongoing challenges in cancer treatment. Cytotoxic T lymphocytes (CTLs) execute their cell-killing function via two distinct mechanisms: a fast-acting, perforin-mediated process and a slower, Fas ligand (FasL)-driven pathway. Evidence also suggests that the preferred killing mechanism of CTLs depends on the antigenicity of tumor cells. To determine the critical factors affecting responses to ICIs, we construct an ordinary differential equation model describing in vivo tumor-immune dynamics in the presence of active or blocked PD-1/PD-L1 immune checkpoint. Specifically, we identify important aspects of the tumor-immune landscape that affect tumor size and composition in the short and long term. We also generate a virtual cohort of mice with diverse tumor and immune attributes to simulate the outcomes of immune checkpoint blockade in a heterogeneous population. By identifying key tumor and immune characteristics associated with tumor elimination, dormancy, and escape, we predict which fraction of a population potentially responds well to ICIs and ways to enhance therapeutic outcomes with combination therapy.

From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine.

Prostate cancer is the most common cancer in men worldwide and has a high mortality rate. The complex and heterogeneous development of prostate cancer has become a core obstacle in the treatment of prostate cancer. Simultaneously, the issues of overtreatment in early-stage diagnosis, oligometastasis and dormant tumor recognition, as well as personalized drug utilization, are also specific concerns that require attention in the clinical management of prostate cancer. Some typical genetic mutations have been proved to be associated with prostate cancer's initiation and progression. However, single-omic studies usually are not able to explain the causal relationship between molecular alterations and clinical phenotypes. Exploration from a systems genetics perspective is also lacking in this field, that is, the impact of gene network, the environmental factors, and even lifestyle behaviors on disease progression. At the meantime, current trend emphasizes the utilization of artificial intelligence (AI) and machine learning techniques to process extensive multidimensional data, including multi-omics. These technologies unveil the potential patterns, correlations, and insights related to diseases, thereby aiding the interpretable clinical decision making and applications, namely intelligent medicine. Therefore, there is a pressing need to integrate multidimensional data for identification of molecular subtypes, prediction of cancer progression and aggressiveness, along with perosonalized treatment performing. In this review, we systematically elaborated the landscape from molecular mechanism discovery of prostate cancer to clinical translational applications. We discussed the molecular profiles and clinical manifestations of prostate cancer heterogeneity, the identification of different states of prostate cancer, as well as corresponding precision medicine practices. Taking multi-omics fusion, systems genetics, and intelligence medicine as the main perspectives, the current research results and knowledge-driven research path of prostate cancer were summarized.

SIRT6 promotes metastasis and relapse in HER2-positive breast cancer

The histone deacetylase sirtuin 6 (SIRT6) has been endowed with anti-cancer capabilities in many tumor types. Here, we investigate the impact of SIRT6-overexpression (SIRT6-OE) in Delta16HER2 mice, which are a bona fide model of HER2-positive breast cancer. After an initial delay in the tumor onset, SIRT6-OE induces a more aggressive phenotype of Delta16HER2 tumors promoting the formation of higher number of tumor foci and metastases than controls. This phenotype of SIRT6-OE tumors is associated with cancer stem cell (CSC)-like features and tumor dormancy, and low senescence and oxidative DNA damage. Accordingly, a sub-set of HER2-positive breast cancer patients with concurrent SIRT6-OE has a significant poorer relapse-free survival (RFS) probability than patients with low expression of SIRT6. ChIP-seq, RNA-seq and RT-PCR experiments indicate that SIRT6-OE represses the expression of the T-box transcription factor 3 (Tbx3) by deacetylation of H3K9ac. Accordingly, loss-of-function mutations of TBX3 or low TBX3 expression levels are predictive of poor prognosis in HER2-positive breast cancer patients. Our work indicates that high levels of SIRT6 are indicative of poor prognosis and high risk of metastasis in HER2-positive breast cancer and suggests further investigation of TBX3 as a downstream target of SIRT6 and co-marker of poor-prognosis. Our results point to a breast cancer subtype-specific effect of SIRT6 and warrant future studies dissecting the mechanisms of SIRT6 regulation in different breast cancer subtypes.

Self-Destructive Copper Carriers Induce Pyroptosis and Cuproptosis for Efficient Tumor Immunotherapy Against Dormant and Recurrent Tumors.

Activating the strong immune system is a key initiative to counteract dormant tumors and prevent recurrence. Herein, self-destructive and multienzymatically active copper-quinone-GOx nanoparticles (abbreviated as CQG NPs) have been designed to induce harmonious and balanced pyroptosis and cuproptosis using the "Tai Chi mindset" to awaken the immune response for suppressing dormant and recurrent tumors. This cleverly designed material can disrupt the antioxidant defense mechanism of tumor cells by inhibiting the nuclear factor-erythroid 2-related factor 2 (NRF2)-quinone oxidoreductase 1 (NQO1) signaling pathway. Furthermore, combined with its excellent multienzyme activity, it activates NOD-like receptor protein 3 (NLRP3)-mediated pyroptosis. Meanwhile, cuproptosis can be triggered by copper ions released from the self-destructive disintegration of CQG NPs and the sensitivity of cancer cells to cuproptosis is enhanced through the depletion of endogenous copper chelators via the Michael addition reaction between glutathione (GSH) and quinone ligand, oxygen production from catalase-like reaction, and starvation-induced glucose deficiency. More importantly, CQG NPs-induced pyroptosis and cuproptosis can promote immunosuppressive tumor microenvironment (TME) remodeling, enhance the infiltration of immune cells into the tumor, and activate robust systemic immunity. Collectively, this study provides a new strategy to resist tumor dormancy, prevent tumor recurrence, and improve the clinical prognosis of tumors.