As one of the most prevalent gastrointestinal malignancies in humans, gastric cancer (GC) is often detected at an advanced stage, resulting in a poor prognosis and ranking it the fifth leading cause of cancer-related deaths. Due to their high genomic correlation with humans, mice are ideal in vivo models for investigating GC-related pathogenesis and therapeutic interventions. This review provides an overview of different GC models, including genetically engineered, transplantation-based models, and chemically or biologically induced models, and discusses the recent advancements for each type, highlighting their unique contributions to the field. In addition, it summarizes the strengths, limitations, and typical applications of these models and offers a critical assessment of their applicability in research while acknowledging their current limitations in fully mirroring human GC progression. Furthermore, we analyze how each model accurately recapitulates the complexities of human GC and evaluate their potential for clinical translation. This review provides a reference for model selection in future GC research.

Liver cancer is one of the most common malignant tumors worldwide. Currently, the available treatment methods cannot fully control its recurrence and mortality rate. Establishing appropriate animal models for liver cancer is crucial for developing new treatment technologies and strategies. The patient-derived xenograft (PDX) model preserves the tumor's microenvironment and heterogeneity, which makes it advantageous for biological research, drug evaluation, personalized medicine, and other purposes. This article reviews the development, preparation techniques, application fields, and challenges of PDX models in liver cancer, providing insights for the research and exploration of PDX models in diagnostic and therapeutic strategies of liver cancer.

Reactive oxygen species (ROS) play a double-edged role in gastric cancer (GC). Higher levels of ROS in tumor cells compared to normal cells facilitate tumor progression. Once ROS concentrations rise rapidly to toxic levels, they cause GC cell death, which is instead beneficial for GC treatment. Based on these functions, nano-delivery systems taking the therapeutic advantages of ROS have been widely employed in tumor therapy in recent years, overcoming the drawbacks of conventional drug delivery techniques, such as non-specific systemic effects. In this review, the precise impacts of ROS on GC have been detailed, along with ROS-based nanomedicine therapeutic schemes. These strategies mainly focused on the use of excess ROS in the tumor microenvironment for controlled drug release and a substantial enhancement of ROS concentrations for tumor killing. The challenges and opportunities for the advancement of these anticancer therapies are also emphasized.

Colorectal cancer (CRC) is linked to the WNT/β-catenin signaling as its primary driver. Aberrant activation of WNT/β-catenin signaling is closely correlated with increased incidence, malignancy, poorer prognosis, and even higher cancer-related death. Research over the years has postulated various experimental models that have facilitated an understanding of the complex mechanisms underlying WNT signaling in CRC. In the present review, we have comprehensively summarized the in vitro, in vivo, patient-derived, and computational models used to study the role of WNT signaling in CRC. We discuss the use of CRC cell lines and organoids in capturing the molecular intricacies of WNT signaling and implementing xenograft and genetically engineered mouse models to mimic the tumor microenvironment. Patient-derived models, including xenografts and organoids, provide valuable insights into personalized medicine approaches. Additionally, we elaborated on the role of computational models in simulating WNT signaling dynamics and predicting therapeutic outcomes. By evaluating the advantages and limitations of each model, this review highlights the critical contributions of these systems to our understanding of WNT signaling in CRC. We emphasize the need to integrate diverse model systems to enhance translational research and clinical applications, which is the primary goal of this review.

Tumor organoid models have emerged as valuable 3D in vitro systems to study cancer behavior in a physiologically relevant environment. The composition and architecture of the extracellular matrix (ECM) play critical roles in tumor organoid culture by influencing the tumor microenvironment and tumor behavior. Traditional matrices such as Matrigel and collagen, have been widely used, but their batch-to-batch variability and limited tunability hinder their reproducibility and broader applications. To address these challenges, researchers have turned to synthetic/engineered matrices and biopolymer-based matrices, which offer precise tunability, reproducibility, and chemically defined compositions. However, these matrices also present challenges of their own. In this review, we explore the significance of ECMs in tumor organoid culture, discuss the limitations of commonly used matrices, and highlight recent advancements in engineered/synthetic matrices for improved tumor organoid modeling.

Glioma, particularly glioblastoma (GBM), remains a highly aggressive and challenging tumour, characterised by poor prognosis and limited therapeutic options. LSM2, an RNA-binding protein, has been implicated in tumour progression, yet its role in glioma remains underexplored. This study aims to investigate the expression, prognostic significance, and molecular mechanisms of LSM2 in glioma, focusing on its impact on RNA splicing regulation.

Clinical and transcriptomic data from 163 GBM and 518 lower-grade glioma (LGG) cases from The Cancer Genome Atlas (TCGA) were analysed to assess LSM2 expression and its prognostic value. RNA sequencing was performed on LSM2 knockdown in T98G glioblastoma cells to identify differentially expressed genes (DEGs) and alternative splicing events (ASEs). Bioinformatics tools were employed to perform functional enrichment analyses and construct protein-protein interaction (PPI) networks.

LSM2 expression was significantly elevated in gliomas, particularly in GBM and in tumours with 1p/19q non-deletion or IDH1 mutation (p < 0.001). High LSM2 expression was correlated with shorter overall survival (HR = 1.7, p = 0.01). Knockdown of LSM2 in T98G cells identified 728 upregulated and 1,720 downregulated genes, alongside 1,949 splicing alterations, which primarily affected pathways related to RNA metabolism, DNA damage response, and cell cycle regulation. Key hub genes such as TLN1, FN1, and IRF7 were associated with glioma progression and poor prognosis.

Our findings demonstrate that LSM2 plays a critical role in glioma progression through the regulation of RNA splicing dynamics. Elevated LSM2 expression serves as a prognostic biomarker and offers promising potential as a therapeutic target in glioma.

Oral cancer poses significant health risks with an increasing incidence annually. Despite advancements in treatment methods, their efficacy is frequently constrained by cancer heterogeneity and drug resistance, leading to minimal improvement in the 5-year survival rate. Therefore, there is a critical need for new treatment methods leaded by representative preclinical research models. Compared to other models, organoids can more precisely simulate the tissue structure, genetic characteristics, and tumor microenvironment (TME) of in vivo tumors, exhibiting high tumor specificity. This makes organoid technology a valuable tool in investigating tumor development, mechanisms of metastasis, drug screening, prediction of clinical responses, and personalized patient treatment. Moreover, integrating organoid technology with other biotechnologies could expand its applications in tissue regeneration. Although organoid technology is increasingly utilized in oral cancer research, a systematic review in this field is absent. This paper is to bridge the gap by reviewing the development and current status of organoid research, highlighting its applications, future prospects, and challenges in oral cancer. It aims to provide novel insights into the role of organoids in precision treatment and regenerative medicine for oral cancer.

Glioma, the most common malignant tumor of the central nervous system, has a high postoperative recurrence rate. While Ciprofol is widely used as an anesthetic, its therapeutic potential in glioma treatment remains largely unexplored.

Glioma T98G cells were treated with varying concentrations of Ciprofol to assess proliferation, invasion, migration, and apoptosis via CCK-8, Transwell, and flow cytometry assays. Proteomic, phosphoproteomic, and transcriptomic analyses were performed to identify molecular targets and pathways. Molecular docking evaluated the binding of Ciprofol to key kinases, and silencing experiments validated their roles. In vivo, glioma mouse models were used to assess postoperative recurrence via tumor size, fluorescence imaging, and histological analysis.

Ciprofol inhibited glioma cell proliferation, invasion, and migration while promoting apoptosis. Proteomic analyses identified MAPK11 and PML as key mediators of Ciprofol's effects. Silencing MAPK11 impaired these effects, while in vivo experiments showed reduced postoperative recurrence via MAPK11-PML phosphorylation.

Ciprofol reduces postoperative glioma recurrence by promoting MAPK11-PML phosphorylation, providing novel molecular targets for glioma treatment and suggesting its therapeutic potential beyond anesthesia.

Annual influenza epidemics pose a significant burden on the global healthcare system. The currently available vaccines mainly induce the production of neutralizing antibodies against hemagglutinin and neuraminidase, which are prone to antigenic variation, and this can reduce vaccine efficacy. Vaccines designed to target T cell epitopes can be potentially valuable. Considering the difficulties in obtaining clinical samples and the unique advantages of mice in disease-related research, a mouse model that can simulate human immune responses can be a superior alternative to peripheral blood mononuclear cells for epitope screening.

The T cell epitopes of the A/California/07/2009 (H1N1) virus were predicted and utilized to evaluate the cellular immune responses of HLA-A2/DR1 and HLA-A11/DR1 transgenic mice during epitope screening. The selected peptides were used to immunize these two groups of transgenic mice, followed by a viral challenge to assess their protective efficacy.

The epitopes that were predicted and screened could stimulate cellular immune responses in HLA-A2/DR1 transgenic mice, HLA-A11/DR1 transgenic mice, and C57BL/6 mice. Moreover, the transgenic mice exhibited stronger ability to produce IFN-γ than that of the wild-type mice. Upon immunization and subjecting to viral challenge, the selected peptides exhibited protective effects against the influenza virus.

The HLA-A2/DR1 and HLA-A11/DR1 transgenic mouse models can be used for the direct screening and validation of influenza virus T cell epitopes, which is crucial for designing T cell epitope vaccines against influenza viruses. Further, this method can be applied in epitope screening and vaccine designing before the spread of other emerging and sudden infectious diseases, thereby supporting epidemic control.

The recent rise in effective immuno-oncology therapies has increased demand for experimental approaches to model anticancer immunity. A variety of mouse models have been developed and used to study cancer immunology. These include mutagen-induced, genetically engineered, syngeneic, and other models of cancer immunology. These models each have the potential to define mechanistic aspects of anticancer immune responses, identify potential therapeutic targets, and serve as preclinical models for further therapeutic development. Specific benefits and liabilities are characteristic of particular cancer immunology modeling approaches. The optimal choice and utilization of models depends on the cancer immunology scientific question being addressed and can serve to increase mechanistic understanding and development of human immuno-oncology therapies.

Merkel Cell Carcinoma (MCC) is an uncommon yet highly malignant form of skin cancer, frequently linked to the Merkel cell polyomavirus (MCPyV). This review comprehensively covers data from year 2000 to 2024, employing keywords such as MCC, MCPyV Oncoproteins, Immunohistochemistry, Southern Blot, Western Blot, Polymerase Chain Reaction (PCR), Digital Droplet PCR (ddPCR), Next-Generation Sequencing (NGS), and In Situ Hybridization (ISH). The search engines utilized were Google, PubMed Central, Scopus, and other journal databases like ScienceDirect. This review is essential for researchers and the broader medical community as it consolidates two decades of research on the genetic and molecular profiling of MCC, particularly focusing on MCPyV's role in its pathogenesis. It highlights the diagnostic advancements and therapeutic potential of targeting viral oncoproteins and provides insights into the development of both in vivo and in vitro models for better understanding MCC. The findings emphasize the significance of early detection, molecular diagnostics, and personalized treatment approaches, aiming to improve outcomes for patients with this malignant malignancy.

Mouse models represent a powerful platform to study genes and variants associated with human diseases. While genome editing technologies have increased the rate and precision of model development, predicting and installing specific types of mutations in mice that mimic the native human genetic context is complicated. Computational tools can identify and align orthologous wild-type genetic sequences from different species; however, predictive modeling and engineering of equivalent mouse variants that mirror the nucleotide and/or polypeptide change effects of human variants remains challenging. Here, we present H2M (human-to-mouse), a computational pipeline to analyze human genetic variation data to systematically model and predict the functional consequences of equivalent mouse variants. We show that H2M can integrate mouse-to-human and paralog-to-paralog variant mapping analyses with precision genome editing pipelines to devise strategies tailored to model specific variants in mice. We leveraged these analyses to establish a database containing > 3 million human-mouse equivalent mutation pairs, as well as in silico-designed base and prime editing libraries to engineer 4,944 recurrent variant pairs. Using H2M, we also found that predicted pathogenicity and immunogenicity scores were highly correlated between human-mouse variant pairs, suggesting that variants with similar sequence change effects may also exhibit broad interspecies functional conservation. Overall, H2M fills a gap in the field by establishing a robust and versatile computational framework to identify and model homologous variants across species while providing key experimental resources to augment functional genetics and precision medicine applications. The H2M database (including software package and documentation) can be accessed at https://human2mouse.com.

Invariant Natural Killer T (iNKT) cells are a unique subset of T cells that bridge innate and adaptive immunity, displaying potent anti-tumor properties through cytokine secretion, direct cytotoxicity, and recruitment of immune effector cells such as CD8+ T cells and NK cells. Despite their therapeutic potential, the immunosuppressive tumor microenvironment (TME), characterized by regulatory T cells, myeloid-derived suppressor cells (MDSCs), and tumor-associated macrophages (TAMs), limits iNKT cell efficacy. Patient-derived organoid (PDO) platforms provide an innovative model for dissecting these complex interactions and evaluating strategies to reinvigorate iNKT cell functionality within the TME. PDOs closely mimic the genetic, phenotypic, and structural characteristics of primary tumors, enabling the study of tumor-immune dynamics. Integrating iNKT cells into PDOs offers a robust platform for investigating CD1d-mediated interactions, Th1-biased immune responses driven by glycolipid analogs like α-GalCer, and combination therapies such as immune checkpoint inhibitors. Additionally, PDO systems can assess the effects of metabolic modulation, including reducing lactic acid accumulation or targeting glutamine pathways, on enhancing iNKT cell activity. Emerging innovations, such as organoid-on-a-chip systems, CRISPR-Cas9 gene editing, and multi-omics approaches, further expand the potential of PDO-iNKT platforms for personalized immunotherapy research. Although the application of iNKT cells in PDOs is still undeveloped, these systems hold immense promise for bridging preclinical studies and clinical translation. By addressing the challenges of the TME and optimizing therapeutic strategies, PDO-iNKT platforms offer a transformative avenue for advancing cancer immunotherapy and personalized medicine.

The genesis of hepatocellular carcinoma (HCC) is closely related to male factors and hyper-activated Ras signals. A transcriptomic database was established via RNA-Seq of HCC (T) and the adjacent precancerous liver tissue (P) of Hras12V transgenic mice (Ras-Tg, HCC model) and the normal liver tissue of wild-type mice (W) of both sexes. Comparative analysis within W, P, and T and correlation expression pattern analysis revealed common/unique cluster-enriched items towards HCC between the sexes. Specifically, the numbers of differentially expressed genes (DEGs) were much higher in females than in males, and tumor suppressor genes, such as p21Waf1/Cip1 and C6, were significantly higher in the female P. This finding denotes the higher sensitivity of female hepatocytes to the Ras oncogene and, therefore, the difficulty in developing HCC. Moreover, convergence in HCC between the sexes suggests the underlying mechanisms for the ineffectiveness of sex hormone therapies. Additionally, expression pattern analysis revealed that the DEGs and their relevant pathways were either positively or negatively associated with the HCC/Ras oncogene. Among them, the vital role of glutathione metabolism in HCC was established. This work provides a basis for future research on elucidating the underlying mechanisms, selecting the diagnostic biomarker, and planning the clinical therapy in HCC.

Background: Tumors, as intricate ecosystems, comprise oncocytes and the highly dynamic tumor stroma. Tumor stroma, representing the non-cancerous and non-cellular composition of the tumor microenvironment (TME), plays a crucial role in oncogenesis and progression, through its interactions with biological, chemical, and mechanical signals. This review aims to analyze the challenges of stroma mimicry models, and highlight advanced personalized co-culture approaches for recapitulating tumor stroma using patient-derived tumor organoids (PDTOs). Methods: This review synthesizes findings from recent studies on tumor stroma composition, stromal remodeling, and the spatiotemporal heterogeneities of the TME. It explores popular stroma-related models, co-culture systems integrating PDTOs with stromal elements, and advanced techniques to improve stroma mimicry. Results: Stroma remodeling, driven by stromal cells, highlights the dynamism and heterogeneity of the TME. PDTOs, derived from tumor tissues or cancer-specific stem cells, accurately mimic the tissue-specific and genetic features of primary tumors, making them valuable for drug screening. Co-culture models combining PDTOs with stromal elements effectively recreate the dynamic TME, showing promise in personalized anti-cancer therapy. Advanced co-culture techniques and flexible combinations enhance the precision of tumor-stroma recapitulation. Conclusions: PDTO-based co-culture systems offer a promising platform for stroma mimicry and personalized anti-cancer therapy development. This review underscores the importance of refining these models to advance precision medicine and improve therapeutic outcomes.

The development of cancer has been a multistep process involving mutation, proliferation, survival, invasion, and metastasis. Of all the characteristics of cancer, metastasis is believed to be the hallmark as it is responsible for the highest number of cancer-related deaths. In connection with this, Matrix metalloproteinases (MMPs), that has a role in metastasis, are one of the novel therapeutic targets. MMPs belong to the family of zinc-dependent endopeptidases and are capable of degrading the components of the extracellular matrix (ECM). The role of MMPs in ECM remodeling includes tissue morphogenesis, uterine cycling, growth, tissue repair, and angiogenesis. During pathological conditions, MMPs play a critical role in the excessive degradation of ECM which includes arthritis, tumour invasion, tumour metastasis, and several other autoimmune disorders. Moreover, they are believed to be involved in many physiological aspects of the cell, such as proliferation, migration, differentiation, angiogenesis, and apoptosis. It is reported that dysregulation of MMP in a variety of cancer subtypes have a dual role in tumour growth and metastasis processes. Further, multiple studies suggest the therapeutic potential of targeting MMP in invading cancer. The expression of MMP-2 correlates with the clinical characteristics of cancer patients, and its expression profile is a new diagnostic and prognostic biomarker for a variety of human diseases. Hence, manipulating the expression or function of MMP-2 may be a potential treatment strategy for different diseases, including cancers. Hence, the present review discusses the therapeutic potential of targeting MMP in various types of cancers and their recent patents.

As efforts to study the mechanisms of melanoma metastasis and novel therapeutic approaches multiply, researchers need accurate, high-throughput methods to evaluate the effects on tumor burden resulting from specific interventions. We show that automated quantification of tumor content from whole slide images is a compelling solution to assess in vivo experiments. In order to increase the outflow of data collection from preclinical studies, we assembled a large dataset with annotations and trained a deep neural network for the quantitative analysis of melanoma tumor content on histopathological sections of murine models. After assessing its performance in segmenting these images, the tool obtained consistent results with an orthogonal method (bioluminescence) of measuring metastasis in an experimental setting. This AI-based algorithm, made freely available to academic laboratories through a web-interface called MetFinder, promises to become an asset for melanoma researchers and pathologists interested in accurate, quantitative assessment of metastasis burden.

Nearly a quarter century ago, Hanahan and Weinberg conceived six unifying principles explaining how normal cells transform into malignant tumors. Their provisional set of biological capabilities acquired during tumor development-cancer hallmarks-would evolve to 14 tenets as knowledge of cancer genomes, molecular mechanisms, and the tumor microenvironment expanded, most recently adding four emerging enabling characteristics: phenotypic plasticity, epigenetic reprogramming, polymorphic microbiomes, and senescent cells. AKT kinases are critical signaling molecules that regulate cellular physiology upon receptor tyrosine kinases and PI3K activation. The complex branching of the AKT signaling network involves several critical downstream nodes that significantly magnify its functional impact, such that nearly every organ system and cell in the body may be affected by AKT activity. Conversely, tumor-intrinsic dysregulation of AKT can have numerous adverse cellular and pathologic ramifications, particularly in oncogenesis, as multiple tumor suppressors and oncogenic proteins regulate AKT signaling. Herein, we review the mounting evidence implicating the AKT pathway in the aggregate of currently recognized hallmarks of cancer underlying the complexities of human malignant diseases. The challenges, recent successes, and likely areas for exciting future advances in targeting this complex pathway are also discussed.

Modelling of human diseases is an essential component of biomedical research, to understand their pathogenesis and ultimately, develop therapeutic approaches. Here, we will describe models of tumours of the central nervous system, with focus on intrinsic CNS tumours. Model systems for brain tumours were established as early as the 1920s, using chemical carcinogenesis, and a systematic analysis of different carcinogens, with a more refined histological analysis followed in the 1950s and 1960s. Alternative approaches at the time used retroviral carcinogenesis, allowing a more topical, organ-centred delivery. Most of the neoplasms arising from this approach were high-grade gliomas. Whilst these experimental approaches did not directly demonstrate a cell of origin, the localisation and growth pattern of the tumours already pointed to an origin in the neurogenic zones of the brain. In the 1980s, expression of oncogenes in transgenic models allowed a more targeted approach by expressing the transgene under tissue-specific promoters, whilst the constitutive inactivation of tumour suppressor genes ('knock out')-often resulted in embryonic lethality. This limitation was elegantly solved by engineering the Cre-lox system, allowing for a promoter-specific, and often also time-controlled gene inactivation. More recently, the use of the CRISPR Cas9 technology has significantly increased experimental flexibility of gene expression or gene inactivation and thus added increased value of rodent models for the study of pathogenesis and establishing preclinical models.

Cancer is a multifactorial process involving genetic, epigenetic, physiological, and metabolic changes. The ability of tumours to regulate new reactive pathways is essential for their survival. A key aspect of this involves the decision-making process of cancer cells as they balance the exploitation of surrounding and distant tissues for their own benefit while avoiding the rapid destruction of the host. Nutrition plays a central role in these processes but is inherently limited. Understanding how tumour cells interact with non-tumoural tissues to acquire nutrients is crucial. In this review, we emphasise the utility of Drosophila melanogaster as a model organism for dissecting the complex oncogenic networks underlying these interactions. By studying various levels-from individual tumour cells to systemic markers-we can gain new insights into how cancer adapts and thrives. Moreover, developing innovative technologies, such as high-throughput methods and metabolic interventions, enhances our ability to explore how tumours adapt to different conditions. These technological advances allow us to explore tumour adaptations and open new opportunities for potential therapeutic strategies.

Chemotherapy with cytotoxic drugs remains the core treatment for cancer but, due to the difficulty to find general and usable biochemical differences between cancer cells and normal cells, many of these drugs are associated with lack of specificity, resulting in side effects and collateral cytotoxicity that impair patients' adherence to therapy. Novel cancer treatments in which the cytotoxic effect is maximized while adverse effects are reduced can be implemented by developing targeted therapies that exploit the specific features of cancer cells, such as the typical expression of aberrant glycans. Modification of drug delivery systems with lectins is one of the strategies to implement targeted chemotherapies, as lectins are able to specifically recognize and bind to cancer-associated glycans expressed at the surface of cancer cells, guiding the drug treatment towards these cells and not affecting healthy ones. In this paper, recent advances on the development of lectin-modified drug delivery systems for targeted cancer treatments are thoroughly reviewed, with a focus on their properties and performance in diverse applications, as well as their main advantages and limitations. The synthesis and analytical characterization of the cited lectin-modified drug delivery systems is also briefly described. A comparison with free-drug treatments and with antibody-modified drug delivery systems is presented, emphasizing the advantages of lectin-modified drug delivery systems. Main constraints and potential challenges of lectin-modified drug delivery systems, including key difficulties for clinical translation of these systems, and the required developments in this area, are also signalled.

Targeted cancer therapy (TCT) is gaining increased interest because it reduces the risks of adverse side effects by specifically treating tumor cells. TCT testing has traditionally been performed using two-dimensional (2D) cell culture and animal studies. Organ-on-a-chip (OoC) platforms have been developed to recapitulate cancer in vitro, as cancer-on-a-chip (CoC), and used for chemotherapeutics development and testing. This review explores the use of CoCs to both develop and test TCTs, with a focus on three main aspects, the use of CoCs to identify target biomarkers for TCT development, the use of CoCs to test free, un-encapsulated TCTs, and the use of CoCs to test encapsulated TCTs. Despite current challenges such as system scaling, and testing externally triggered TCTs, TCToC shows a promising future to serve as a supportive, pre-clinical platform to expedite TCT development and bench-to-bedside translation.

Steroid hormones often circulate in the plasma as inactive sulfated forms, such as estrone sulfate and dehydroepiandrosterone sulfate. The enzyme steroid sulfatase (STS) converts these steroids into active forms, mainly estrogens, in peripheral tissues. STS is present in most tissues, but it occurs at higher levels in certain organs, notably liver and placenta. In this study, we examined the tissue distribution of STS in a prominent laboratory model, the house mouse (Mus musculus). Tissues included were heart, liver, small intestine, skeletal muscle, and gonads of both sexes. An 3H-estrone-sulfate conversion assay was used to measure STS activity in tissue homogenates and extracts. STS activities were high for hepatic tissue homogenates of both genders. Testicular STS levels were similar to those of liver, while STS activities of ovary, small intestine, heart, and muscle were considerably lower. The specific STS inhibitors, EMATE and STX-64 virtually eliminated STS activity in hepatic microsomes and cytosols, verifying that the observed enzyme activity was due to STS. Enzyme kinetic assays showed Km values of 8.6 µM for liver and 9.1 µM for testis, using E1S as substrate. Hepatic and testicular STS activities, measured in CHAPS-extracted microsome, were low up to 5 weeks of age and were higher through 56 weeks. Western blotting, with a specific STS antibody, confirmed the presence of STS protein (65 Da) in both liver and testis. Immunofluorescence of tissue sections detected the presence of STS protein in hepatocytes, in testicular Leydig cells and in seminiferous tubules (Leydig cells and developing germ cells). These results suggest that STS may have a significant role in testicular function.

Chemotherapy tolerance weakened efficacy of chemotherapy drugs in the treating gastric cancer (GC). Banxiaxiexin decoction (BXXXD) was widely used in digestive diseases for thousands of years in Traditional Chinese medicine (TCM). In order to better treat GC, three other herbs were added to BXXXD to create a new prescription named Modified Banxiaxiexin decoction (MBXXXD). Although MBXXXD potentially treated GC by improving chemotherapy tolerance, the possible mechanisms were still unknown.

To explore the therapeutic effect of MBXXXD on GC patients and explore the possible anti-cancer mechanism.

A randomized controlled trial (n = 146) was conducted to evaluate the clinical efficacy between MBXXXD + chemotherapy (n = 73) and placebo + chemotherapy (n = 73) in GC patients by testing overall survival, progression free survival, clinical symptoms, quality of life score, tumor markers, T cell subpopulation, and adverse reactions. Network pharmacology was conducted to discover the potential mechanism of MBXXXD in treating GC. Metabolic activity assay, cell clone colony formation and mitochondrial apoptosis were detected in human GC cell lines including AGS cell, KNM-45 cell and SGC7901 cell treated by MBXXXD. Multiple pathways including P53, AKT, IκB, P65, P38, ERK, JNK p-AKT, p-P65, p-P38, p-ERK and p-JNK in AGS cell, KNM-45 cell and SGC7901 cell treated by MBXXXD and GC patients treated by MBXXXD + chemotherapy were also detected.

MBXXXD + chemotherapy promoted overall survival and progression free survival, improved clinical symptoms and quality of life score, increased T4 lymphocyte ratio and T8 lymphocyte ratio as well as T4/T8 lymphocyte ratio, and alleviated adverse reactions in GC patients. Network pharmacology predicted multiple targets and pathways of MBXXXD in treating GC including apoptosis, P53 pathway, AKT pathway, MAPK pathway. MBXXXD inhibited cell viability, decreased cell clone colony formation, and promoted mitochondrial apoptosis by producing reactive oxygen species (ROS), promoting mitochondrial permeability transition pore (MPTP) and the cleavage of pro-caspase-3 and pro-caspase-9, and decreasing mito-tracker red Chloromethyl-X-rosamine (CMXRos) in AGS cell, KNM-45 cell and SGC7901 cell. MBXXXD up-regulated the expression of P53 and IκB, and down-regulated the expression of p-AKT, p-P65, p-P38, p-ERK, p-JNK, AKT, P65, P38, ERK and JNK AGS cell, KNM-45 cell and SGC7901 cell treated by MBXXXD and GC patients treated by MBXXXD + chemotherapy.

MBXXXD benefitted chemotherapy for GC by regulating multiple targets and pathways.

The AKT kinases are critical signaling molecules that regulate cellular physiology upon the activation of tyrosine kinase receptors and phosphatidylinositol 3-kinases (PI3K). AKT kinases govern many cellular processes considered hallmarks of cancer, including cell proliferation and survival, cell size, tumor invasion, metastasis, and angiogenesis. AKT signaling is regulated by multiple tumor suppressors and oncogenic proteins whose loss or activation, respectively, leads to dysregulation of this pathway, thereby contributing to oncogenesis. Herein, we review the enormous body of literature documenting how the AKT pathway becomes hyperactivated in sporadic human tumors and various hereditary cancer syndromes. We also discuss the role of activating mutations of AKT pathway genes in various chimeric overgrowth disorders, including Proteus syndrome, hypoglycemia with hypertrophy, CLOVES and SOLAMEN syndromes, and hemimegalencephaly.

While liquid biopsy has potential to transform cancer diagnostics through minimally-invasive detection and monitoring of tumors, the impact of preanalytical factors such as the timing and anatomical location of blood draw is not well understood. To address this gap, we leveraged pet dogs with spontaneous cancer as a model system, as their compressed disease timeline facilitates rapid diagnostic benchmarking. Key liquid biopsy metrics from dogs were consistent with existing reports from human patients. The tumor content of samples was higher from venipuncture sites closer to the tumor and from a central vein. Metrics also differed between lymphoma and non-hematopoietic cancers, urging cancer-type-specific interpretation. Liquid biopsy was highly sensitive to disease status, with changes identified soon after post chemotherapy administration, and trends of increased tumor fraction and other metrics observed prior to clinical relapse in dogs with lymphoma or osteosarcoma. These data support the utility of pet dogs with cancer as a relevant system for advancing liquid biopsy platforms.

Sarcomas comprise between 10-15% of all pediatric malignancies. Osteosarcoma and Ewing sarcoma are the two most common pediatric bone tumors diagnosed in children and young adults. These tumors are commonly treated with surgery and/or radiation therapy and combination chemotherapy. However, there is a strong need for the development and utilization of targeted therapeutic methods to improve patient outcomes. Towards accomplishing this goal, pre-clinical models for these unique malignancies are of particular importance to design and test experimental therapeutic strategies prior to being introduced to patients due to their origination site and propensity to metastasize. Pre-clinical models offer several advantages for the study of pediatric sarcomas with unique benefits and shortcomings dependent on the type of model. This review addresses the types of pre-clinical models available for the study of pediatric solid tumors, with special attention to the bone sarcomas osteosarcoma and Ewing sarcoma.

Siglecs are cell surface receptors whose functions are tied to the binding of their sialoglycan ligands. Recently, we developed an optimized liposome formulation and used it to investigate the binding of human Siglecs (hSiglec) against a panel of gangliosides. Animal models, more specifically murine models, are used to understand human biology; however, species-specific differences can complicate the interpretation of the results. Herein, we used our optimized liposome formulation to dissect the interactions between murine Siglecs (mSiglecs) and gangliosides to assess the appropriateness of mSiglecs as a proxy to better understand the biological roles of hSiglec-ganglioside interactions. Using our optimized liposome formulation, we found that ganglioside binding is generally conserved between mice and humans with mSiglec-1, -E, -F, and -15 binding multiple gangliosides like their human counterparts. However, in contrast to the hSiglecs, we observed little to no binding between the mSiglecs and ganglioside GM1a. Detailed analysis of mSiglec-1 interacting with GM1a and its structural isomer, GM1b, suggests that mSiglec-1 preferentially binds α2-3-linked sialic acids presented from the terminal galactose residue. The ability of mSiglecs to interact or not interact with gangliosides, particularly GM1a, has implications for using mice to study neurodegenerative diseases, infections, and cancer, where interactions between Siglecs and glycolipids have been proposed to modulate these human diseases.

Various cancer models have been developed to aid the understanding of the underlying mechanisms of tumor development and evaluate the effectiveness of various anticancer drugs in preclinical studies. These models accurately reproduce the critical stages of tumor initiation and development to mimic the tumor microenvironment better. Using these models for target validation, tumor response evaluation, resistance modeling, and toxicity comprehension can significantly enhance the drug development process. Herein, various in vivo or animal models are presented, typically consisting of several mice and in vitro models ranging in complexity from transwell models to spheroids and CRISPR-Cas9 technologies. While in vitro models have been used for decades and dominate the early stages of drug development, they are still limited primary to simplistic tests based on testing on a single cell type cultivated in Petri dishes. Recent advancements in developing new cancer therapies necessitate the generation of complicated animal models that accurately mimic the tumor's complexity and microenvironment. Mice make effective tumor models as they are affordable, have a short reproductive cycle, exhibit rapid tumor growth, and are simple to manipulate genetically. Human cancer mouse models are crucial to understanding the neoplastic process and basic and clinical research improvements. The following review summarizes different in vitro and in vivo metastasis models, their advantages and disadvantages, and their ability to serve as a model for cancer research.

Alcoholic liver disease (ALD) poses a significant health challenge, so comprehensive research efforts to improve our understanding and treatment strategies are needed. However, the development of effective treatments is hindered by the limitation of existing liver disease models. Liver organoids, characterized by their cellular complexity and three-dimensional (3D) tissue structure closely resembling the human liver, hold promise as ideal models for liver disease research. In this study, we use a meticulously designed protocol involving the differentiation of human induced pluripotent stem cells (hiPSCs) into liver organoids. This process incorporates a precise combination of cytokines and small molecule compounds within a 3D culture system to guide the differentiation process. Subsequently, these differentiated liver organoids are subject to ethanol treatment to induce ALD, thus establishing a disease model. A rigorous assessment through a series of experiments reveals that this model partially recapitulates key pathological features observed in clinical ALD, including cellular mitochondrial damage, elevated cellular reactive oxygen species (ROS) levels, fatty liver, and hepatocyte necrosis. In addition, this model offers potential use in screening drugs for ALD treatment. Overall, the liver organoid model of ALD, which is derived from hiPSC differentiation, has emerged as an invaluable platform for advancing our understanding and management of ALD in clinical settings.

Pigs are playing an increasingly vital role as translational biomedical models for studying human pathophysiology. The annotation of the pig genome was a huge step forward in translatability of pigs as a biomedical model for various human diseases. Similarities between humans and pigs in terms of anatomy, physiology, genetics, and immunology have allowed pigs to become a comprehensive preclinical model for human diseases. With a diverse range, from craniofacial and ophthalmology to reproduction, wound healing, musculoskeletal, and cancer, pigs have provided a seminal understanding of human pathophysiology. This review focuses on the current research using pigs as preclinical models for cancer research and highlights the strengths and opportunities for studying various human cancers.

The emergence and rapid development of human organoids have provided the possibility to replace animal models in treating human diseases. Intelligence studies help focus on research hotspots and address key mechanistic issues. Currently, few comprehensive studies describe the characteristics of human organoid research. In this study, we extracted 8,591 original articles on organoids from the Web of Science core collection database over the past two decades and conducted intelligence analysis using CiteSpace. The number of publications in this field has experienced rapid growth in the last ten years (almost 70-fold increase since 2009). The United States, China, Germany, Netherlands, and UK have strong collaborations in publishing articles. Clevers Hans, Van Der Laan, Jason R Spence, and Sato Toshiro have made significant contributions to advancing progress in this field. Clustering and burst analysis categorized research hotspots into tissue model and functional construction, intercellular signaling, immune mechanisms, and tumor metastasis. Organoid research in highly cited articles covers four major areas: basic research (38%), involving stem cell developmental processes and cell-cell interactions; biobanking (10%), with a focus on organoid cultivation; precision medicine (16%), emphasizing cell therapy and drug development; and disease modeling (36%), including pathogen analysis and screening for disease-related genetic variations. The main obstacles currently faced in organoid research include cost and technology, vascularization of cells, immune system establishment, international standard protocols, and limited availability of high-quality clinical trial data. Future research will focus on cost-saving measures, technology sharing, development of international standards, and conducting high-level clinical trials.

Animal models are routinely employed to assess the treatments for human cancer. However, due to significant differences in genetic backgrounds, traditional animal models are unable to meet bioresearch needs. To overcome this restriction, researchers have generated and optimized immunodeficient mice, and then engrafted human genes, cells, tissues, or organs in mice so that the responses in the model mice could provide a more reliable reference for treatments. As a bridge connecting clinical application and basic research, humanized mice are increasingly used in the preclinical evaluation of cancer treatments, particularly after gene interleukin 2 receptor gamma mutant mice were generated. Human cancer models established in humanized mice support exploration of the mechanism of cancer occurrence and provide an efficient platform for drug screening. However, it is undeniable that the further application of humanized mice still faces multiple challenges. This review summarizes the construction approaches for humanized mice and their existing limitations. We also report the latest applications of humanized mice in preclinical evaluation for the treatment of cancer and point out directions for future optimization of these models.

A key step in drug discovery, common to many disease areas, is preclinical demonstration of efficacy in a mouse model of disease. However, this demonstration and its translation to the clinic can be impeded by mouse-specific pathways of drug metabolism. Here, we show that a mouse line extensively humanized for the cytochrome P450 gene superfamily ("8HUM") can circumvent these problems. The pharmacokinetics, metabolite profiles, and magnitude of drug-drug interactions of a test set of approved medicines were in much closer alignment with clinical observations than in wild-type mice. Infection with Mycobacterium tuberculosis, Leishmania donovani, and Trypanosoma cruzi was well tolerated in 8HUM, permitting efficacy assessment. During such assessments, mouse-specific metabolic liabilities were bypassed while the impact of clinically relevant active metabolites and DDI on efficacy were well captured. Removal of species differences in metabolism by replacement of wild-type mice with 8HUM therefore reduces compound attrition while improving clinical translation, accelerating drug discovery.

Xenografting human cancer tissues into mice to test new cures against cancers is critical for understanding and treating the disease. However, only a few inbred strains of mice are used to study cancers, and derivatives of mainly one strain, mostly NOD/ShiLtJ, are used for therapy efficacy studies. As it has been demonstrated when human cancer cell lines or patient-derived tissues (PDX) are xenografted into mice, the neoplastic cells are human but the supporting cells that comprise the tumor (the stroma) are from the mouse. Therefore, results of studies of xenografted tissues are influenced by the host strain. We previously published that when the same neoplastic cells are xenografted into different mouse strains, the pattern of tumor growth, histology of the tumor, number of immune cells infiltrating the tumor, and types of circulating cytokines differ depending on the strain. Therefore, to better comprehend the behavior of cancer in vivo, one must xenograft multiple mouse strains. Here we describe and report a series of methods that we used to reveal the genes and proteins expressed when the same cancer cell line, MDA-MB-231, is xenografted in different hosts. First, using proteomic analysis, we show how to use the same cell line in vivo to reveal the protein changes in the neoplastic cell that help it adapt to its host. Then, we show how different hosts respond molecularly to the same cell line. We also find that using multiple strains can reveal a more suitable host than those traditionally used for a "difficult to xenograft" PDX. In addition, using complex trait genetics, we illustrate a feasible method for uncovering the alleles of the host that support tumor growth. Finally, we demonstrate that Diversity Outbred mice, the epitome of a model of mouse-strain genetic diversity, can be xenografted with human cell lines or PDX using 2-deoxy-D-glucose treatment.

Cancer remains a serious burden in society and while the pace in the development of novel and more effective therapeutics is increasing, testing platforms that faithfully mimic the tumor microenvironment are lacking. With a clear shift from animal models to more complex in vitro 3D systems, spheroids emerge as strong options in this regard. Years of development have allowed spheroid-based models to better reproduce the biomechanical cues that are observed in the tumor-associated extracellular matrix (ECM) and cellular interactions that occur in both a cell-cell and cell-ECM manner. Here, we summarize some of the key cellular interactions that drive tumor development, progression and invasion, and how successfully are these interactions recapitulated in 3D spheroid models currently in use in the field. We finish by speculating on future advancements in the field and on how these can shape the relevance of spherical 3D models for tumor modelling.

Mouse tumor models are essential in cancer research, especially in elucidating malignancy, developing prevention, diagnosis, and new therapeutic approaches. Nowadays, due to standardized ways of maintaining animal colonies and the availability of mouse strains with known genetic backgrounds and approaches to reduce the variability of tumor size between animals, transplantable mouse tumor models can be widely used in translational cancer research. Here, we describe the induction of different subcutaneous tumor models in mice, in particular xenograft and syngeneic that can be used as experimental tumor models.

Digestive system tumors are the leading cause of cancer-related deaths worldwide. Despite ongoing research, our understanding of their mechanisms and treatment remain inadequate. One promising tool for clinical applications is the use of gastrointestinal tract tumor organoids, which serve as an important in vitro model. Tumor organoids exhibit a genotype similar to the patient's tumor and effectively mimic various biological processes, including tissue renewal, stem cell, and ecological niche functions, and tissue response to drugs, mutations, or injury. As such, they are valuable for drug screening, developing novel drugs, assessing patient outcomes, and supporting immunotherapy. In addition, innovative materials and techniques can be used to optimize tumor organoid culture systems. Several applications of digestive system tumor organoids have been described and have shown promising results in related aspects. In this review, we discuss the current progress, limitations, and prospects of this model for digestive system tumors.

Colorectal cancer (CRC) is one of the most common malignant cancers worldwide and seriously threatens human health. The clustered regulatory interspaced short palindromic repeat/CRISPR-associate nuclease 9 (CRISPR/Cas9) system is an adaptive immune system of bacteria or archaea. Since its introduction, research into various aspects of treatment approaches for CRC has been accelerated, including investigation of the oncogenes, tumor suppressor genes (TSGs), drug resistance genes, target genes, mouse model construction, and especially in genome-wide library screening. Furthermore, the CRISPR/Cas9 system can be utilized for gene therapy for CRC, specifically involving in the molecular targeted drug delivery or targeted knockout in vivo. In this review, we elucidate the mechanism of the CRISPR/Cas9 system and its comprehensive applications in CRC. Additionally, we discussed the issue of off-target effects associated with CRISPR/Cas9, which serves to restrict its practical application. Future research on CRC should in-depth and systematically utilize the CRISPR/Cas9 system thereby achieving clinical practice.

Cancer is a major health threat and a leading cause of human death worldwide. Surgical resection is the primary treatment for most cancers; however, some patients develop locoregional recurrence. Here, we developed an in situ cancer therapeutic system aimed to locally treat cancer and prevent postoperative recurrence. A functional scaffold, based on alginate/gelatin and crosslinked with copper ions, was fabricated by 3D printing and showed an excellent photothermal effect under near-infrared (NIR) irradiation. The combination of copper ions and NIR effectively killed thyroid cancer cells and patient-derived organoids, indicating a synergetic and broad-spectrum antitumor effect on thyroid cancer through the chemo-photothermal therapy. This implantable stent is designed to provide effective treatment in the vicinity of the tumor site and can be degraded without secondary surgery. The copper-loaded hydrogel scaffold may be a potential candidate for local cancer treatment and pave the way for precise and effective cancer therapy.

Extracellular vesicles (EVs) are small membrane-bound vesicles that are released by cells into the extracellular environment. The role of EVs in tumors has been extensively studied, and they have been shown to play a crucial role in tumor growth, progression, and metastasis. Past research has mainly used 2D-cultured cell line models to investigate the role of EVs in tumors, which poorly simulate the tumor microenvironment. Organoid technology has gradually matured in recent years. Organoids are similar in composition and behavior to physiological cells and have the potential to recapitulate the architecture and function of the original tissue. It has been widely used in organogenesis, drug screening, gene editing, precision medicine and other fields. The integration of EVs and organoids has the potential to revolutionize the field of cancer research and represents a promising avenue for advancing our understanding of cancer biology and the development of novel therapeutic strategies. Here, we aimed to present a comprehensive overview of studies using organoids to study EVs in tumors.