Ruthenium-based metallodrugs have garnered attention as a promising alternative for anticancer therapy, aiming to overcome chemoresistance and severe side effects linked to platinum-based drugs. However, ruthenium complexes tested in clinical trials to date have yielded unsatisfactory results. This study synthesized a positively charged ruthenium complex (Ru-2) that effectively penetrated cancer cells and exhibited superior cytotoxicity to cisplatin in vitro against cancer cell lines and organoids. Ru-2 selectively targeted mitochondria, disrupting their function by depolarizing mitochondrial membrane potential, elevating reactive oxygen species production, and impairing both oxidative phosphorylation and the tricarboxylic acid cycle. Furthermore, Ru-2 triggered endoplasmic reticulum (ER) stress and apoptosis. Integrative transcriptomic and proteomic analyses, performed using RNA sequencing and mass spectrometry, identified key molecular changes in cancer cells treated with Ru-2. For enhanced in vivo application, we developed a transferrin-based nanomedicine formulation, TF/Ru-2, incorporating Ru-2 into transferrin. In vivo studies demonstrated that both Ru-2 and TF/Ru-2 exhibited superior antitumor efficacy and improved biosafety compared to cisplatin. This study presents a novel ruthenium complex and a transferrin-based drug delivery platform with significant potential for future cancer therapies.

Colorectal cancer (CRC) is a substantial global health concern due to its limited treatment options, especially for oxaliplatin (L-OHP) regimen resistance. This study used organoid-based screening methodologies to evaluate drug responses in CRC while validating the approach with patient-derived CRC organoids and investigating potential biomarkers.

Patient-derived organoids were created from CRC surgical specimens, and drug screening were performed. Selected organoids with high and low L-OHP sensitivity underwent next-generation sequencing (NGS), and in vivo experiments using xenotransplantation were used to validate in vitro results. Moreover, the clinical application of homologous recombination deficiency (HRD) as a biomarker was investigated.

Organoid drug screening revealed differences in L-OHP sensitivity among 34 patient-derived CRC organoids, and NGS deemed HRD as a potential biomarker. In vivo experiments validated the correlation between HRD status and L-OHP sensitivity, and clinical data suggested the potential of HRD as a biomarker for recurrence-free survival in patients treated with L-OHP. Additionally, HRD exhibited potential as a biomarker for other platinum agents and poly (ADP-ribose) polymerase inhibitors in CRC.

The study underscores HRD as a potential biomarker for predicting L-OHP sensitivity, expanding its application to other drugs in CRC. Organoid screening is reliable, providing insights into the intricate association between genetic features and treatment responses.

Organoids are rapidly self-organizing 3D in vitro cultures derived from pluripotent stem cells (PSCs) or adult stem cells (ASCs) that possess disease-like characteristics with high success rates. Due to their ability to retain tissue structure, biological phenotypes, and genetic information, they have been utilized as a novel in vitro model for disease research. In recent years, scientists have established self-organizing 3D organoids for human endometrium, fallopian tubes, ovaries, and cervix by culturing stem cells with cytokines in 3D scaffolds. The integration of organoids with animal models, organ-on-a-chip systems, and 3D printing technologies offers a novel preclinical model for exploring disease mechanisms and developing treatments. This review elaborate on the recent research progress of stem cells-formed organoids in the field of gynecology from the aspects of constructing gynecological disease organoids, drug screening and new drug development, simulation modeling, allogeneic transplantation, regenerative medicine and personalized treatment."

Immunotherapy, particularly immune checkpoint blockade (ICB), has opened the era of modern oncology, offering significant promise for modern oncology. However, the efficacy of immunotherapy is frequently curtailed by the immunosuppressive tumor microenvironment (ITM), a milieu shaped by tumor metabolic reprogramming. Herein, a novel tumor microenvironment-responsive nanocapsules (DNMCs) were developed that simultaneously modulate tumor metabolism and the ITM to enhance the effectiveness of chemo-immunotherapy. DNMCs consist of an acidic and redox-sensitive metal-organic framework (MOF) encapsulating Doxorubicin (DOX) and the indoleamine-2,3-dioxygenase1 (IDO1) inhibitor NLG919. In the tumor microenvironment, DNMCs degrade, rapidly releasing DOX and NLG919. DOX induces immunogenic cell death (ICD), while NLG919 regulates amino acid metabolism by modulating IDO1 activity, thereby reversing the immunosuppressive of ITM. Consequently, DNMCs elicit effective anti-tumor immune responses, characterized by an increased density of tumor-infiltrating CD8+ cytotoxic T cells as well as depletion of immunosuppressive regulatory T cells (Tregs), thus effectively suppressing pancreatic cancer growth in KPC mice through combined chemo-immunotherapy. Overall, DNMCs exhibit significant tumor growth inhibition in pancreatic cancer patient-derived organoids (PDOs) and mouse models. This study presents a promising approach to enhancing chemo-immunotherapy by targeting tumor metabolic reprogramming and augmenting immune response against malignant tumors.

Somatic mutations in ARID1A (AT-rich interactive domain-containing protein 1A) are present in approximately 25 % of bladder cancers (BC) and are associated with poor prognosis. With a view to discover effective treatment options for ARID1A-deficient BC patients, we set out to identify targetable effectors dysregulated consequent to ARID1A deficiency. Integrative analyses of ARID1A depletion in normal organoids and data mining in publicly available datasets revealed upregulation of DNA repair and cell cycle-associated genes consequent to loss of ARID1A and identified CHEK1 (Checkpoint kinase 1) and chromosomal passenger complex member BIRC5 (Baculoviral IAP Repeat Containing 5) as therapeutically drug-able candidate molecular effectors. Ex vivo treatment of patient-derived BC tumoroids with clinically advanced small molecule inhibitors targeting CHEK1 or BIRC5 was associated with increased DNA damage signalling and apoptosis, and selectively induced cell death in tumoroids lacking ARID1A protein expression. Thus, integrating public datasets with patient-derived organoid modelling and ex-vivo drug testing can uncover key molecular effectors and mechanisms of oncogenic transformation, potentially leading to novel therapeutic strategies. Our data point to ARID1A protein expression as a suitable candidate biomarker for the selection of BC patients responsive to therapies targeting BIRC5 and CHEK1.

Precision medicine is a personalized medical model based on the individual's genome, phenotype, and lifestyle that provides tailored treatment plans for patients. In this context, tumor organoids, a 3-dimensional preclinical model based on patient-derived tumor cell self-organization, combined with digital analysis methods, such as high-throughput sequencing and image processing technology, can be used to analyze the genome, transcriptome, and cellular heterogeneity of tumors, so as to accurately track and assess the growth process, genetic characteristics, and drug responsiveness of tumor organoids, thereby facilitating the implementation of precision medicine. This interdisciplinary approach is expected to promote the innovation of cancer diagnosis and enhance personalized treatment. In this review, the characteristics and culture methods of tumor organoids are summarized, and the application of multi-omics, such as bioinformatics and artificial intelligence, and the digital methods of organoids in precision medicine research are discussed. Finally, this review explores the main causes and potential solutions for the bottleneck in the clinical translation of digital tumor organoids, proposes the prospects of multidisciplinary cooperation and clinical transformation to narrow the gap between laboratory and clinical settings, and provides references for research and development in this field.

Tumor drug resistance presents a growing challenge in medical practice, particularly during anti-cancer therapies, where the emergence of drug-resistant cancer cells significantly complicates clinical treatment. In recent years, three-dimensional (3D) tumor culture technology, which more effectively simulates the in vivo physiological environment, has gained increasing attention in tumor drug resistance research and clinical applications. By mimicking the in vivo cellular microenvironment, 3D tumor culture technology not only recapitulates cell-cell interactions but also more faithfully reproduces the biological effects of therapeutic agents. Consequently, 3D tumor culture technology is emerging as a crucial tool in biomedical and clinical research. We summarize the benefits of 3D culture models and organoid technology, explore their application in the realm of drug resistance, drug screening, and personalized therapy, and discuss their potential application prospects and challenges in clinical transformation, with the aim of providing insights for optimizing cancer treatment strategies and advancing precision therapy.

We introduce a protocol for generating 3D organoids from circulating tumor cells (CTCs), enabling longitudinal functional and molecular analyses in pancreatic cancer patients, including those with unresectable disease, which constitutes the majority of cases. We outline the process for isolating and characterizing CTCs from the blood of pancreatic cancer patients and provide detailed instructions for initiating, passaging, and phenotyping CTC-derived organoids. Additionally, we describe techniques for utilizing these organoids in drug screening with a focus on stemness-related pathways. For complete details on the use and execution of this protocol, please refer to Tang et al.1.

Three-dimensional cell culture systems underpin cell-based technologies ranging from tissue scaffolds for regenerative medicine to tumor models and organoids for drug screening. However, to realise the full potential of these technologies requires analytical methods able to capture the diverse information needed to characterize constituent cells, scaffold components and the extracellular milieu. Here we describe a multimodal imaging workflow which combines fluorescence, vibrational and second harmonic generation microscopy with secondary ion mass spectrometry imaging and transmission electron microscopy to analyse the morphological, chemical and ultrastructural properties of cell-seeded scaffolds. Using cell nuclei as landmarks we register fluorescence with label-free optical microscopy images and high mass resolution with high spatial resolution secondary ion mass spectrometry images, with an accuracy comparable to the intrinsic spatial resolution of the techniques. We apply these methods to investigate relationships between cell distribution, cytoskeletal morphology, scaffold fiber organisation and biomolecular composition in type I collagen scaffolds seeded with human dermal fibroblasts.

Statins, commonly used to lower cholesterol, are associated with improved prognosis in colorectal cancer (CRC), though their effectiveness varies. This study investigates the anti-cancer effects of atorvastatin in CRC using patient-derived organoids (PDOs) and PDO-derived xenograft (PDOX) models. Our findings reveal that atorvastatin induces mitochondrial dysfunction, leading to apoptosis in cancer cells. In response, cancer cells induce mitophagy to clear damaged mitochondria, enhancing survival and reducing statin efficacy. Analysis of a clinical cohort confirms mitophagy's role in diminishing statin effectiveness. Importantly, inhibiting mitophagy significantly enhances the anti-cancer effects of atorvastatin in CRC PDOs, xenograft models, and azoxymethane (AOM)-dextran sulfate sodium (DSS) mouse models. These findings identify mitophagy as a critical pro-survival mechanism in CRC during statin treatment, providing insights into the variable responses observed in epidemiological studies. Targeting this vulnerability through combination therapy can elicit potent therapeutic responses.

Colorectal epithelium was the first long-term 3D organoid culture established in vitro. Identification of the key components essential for the long-term survival of the stem cell niche allowed an indefinite propagation of these cultures and the modulation of their differentiation into various lineages of mature intestinal epithelial cells. While these methods were eventually adapted to establish organoids from different organs, colorectal organoids remain a pioneering model for the development of new applications in health and disease. Several basic and applicative aspects of organoid culture, modeling, monitoring and testing are analyzed in this review. We also tackle the ethical problems of biobanking and distribution of these precious research tools, frequently confined in the laboratory of origin or condemned to destruction at the end of the project.

Primary central nervous system lymphoma (PCNSL) exhibits substantial intratumoural and intertumoural heterogeneity, complicating the development of effective treatment methods. Existing in vitro models fail to simulate the cellular and mutational diversity of native tumours and require prolonged generation times. Therefore, we developed a culture method for patient-derived PCNSL organoids (CLOs) and evaluated the organoids through extensive molecular characterisation, histopathological analysis, single-nucleus RNA sequencing, bulk RNA sequencing and whole-exome sequencing. These CLOs accurately mimicked the histological attributes, gene expression landscapes and mutational profiles of their original tumours. Single-nucleus RNA sequencing also revealed that CLOs maintained cell-type heterogeneity and the molecular signatures of their original tumours. CLOs were generated within 2 weeks, demonstrating rapid development and reliability. Therapeutic profiling was performed on three selected CLOs treated with four standard drugs. The CLOs exhibited specific sensitivity to methotrexate, and resistance to dexamethasone, ibrutinib and rituximab, suggesting that CLOs may be valuable tools for reflecting drug sensitivities. Taken together, these results emphasise that CLOs effectively emulate the key characteristics of PCNSL, increasing the understanding of the genetic landscape of this complex disease. CLOs provide a rapid and reliable platform for exploring individualised treatment strategies, potentially accelerating the transition of research findings to clinical practice.

Several patient-derived tumor models have emerged recently. However, soft tissue sarcomas (STSs) present a challenge in developing preclinical drug-testing models due to their non-epithelial and complex nature. Here, we report a model termed patient-derived tumor-like cell clusters (PTCs) derived from STS patients. PTCs result from the self-assembly and proliferation of mesenchymal stem cells (MSCs), epithelial cells, and immune cells, faithfully recapitulating the morphology and function of the original tumors. Through standardized culture and drug-response assessment protocols, PTCs facilitate personalized drug testing, evaluating hundreds of therapies within two weeks. Notably, PTCs exhibit 100% accuracy in distinguishing between complete or partial response and disease progression. We demonstrate the utility of PTCs in guiding chemotherapy selection for a patient with relapse and metastases following conventional therapy, who exhibited a positive response after non-conventional therapy identified through PTC. These findings underscore the potential of PTCs for prospective use in clinical decision-making regarding therapy selection.

Lung adenocarcinoma (LUAD) radiologically displayed as subsolid nodules (SSNs) is prevalent. Nevertheless, the precise clinical management of SSNs necessitates a profound understanding of their tumorigenesis and progression. Here, we analyze 66 LUAD displayed as SSNs covering 3 histological stages including adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) by incorporating genomics, proteomics, phosphoproteomics and glycoproteomics. Intriguingly, cholesterol metabolism is aberrantly regulated in the preneoplastic AIS stage. Importantly, target ablation of proprotein convertase subtilisin/kexin type 9 (PCSK9) promotes the initiation of LUAD. Furthermore, sustained endoplasmic reticulum stress is demonstrated to be a hallmark and a reliable biomarker of AIS progression to IAC. Consistently, target promotion of ER stress profoundly retards LUAD progression. Our study provides comprehensive proteogenomic landscape of SSNs, sheds lights on the tumorigenesis and progression of SSNs and suggests preventive and therapeutic strategies for LUAD.

Despite druggable events to be present in 80 % of neuroblastomapatients within the Princess Máxima Center precision medicine program 'iTHER', clinical uptake of treatment recommendations has been low, and the clinical impact for individual patients remains hard to predict. This stresses the need for a method integrating genomics and transcriptomics with functional approaches into therapeutic decision making.

We aimed to launch an online repository integrating genomics and transcriptomics with high-throughput drug screening (HTS) of nineteen commonly used neuroblastoma cell lines and fifteen neuroblastoma patient-derived organoids (NBL-PDOs). Cell lines, NBL-PDOs and their parental tumors were characterized utilizing (lc)WGS, WES and RNAseq. Cells were exposed to ∼200 compounds. Results were transferred to the R2 visualization platform.

A powerful reference set of cell lines is available, reflecting distinct known pharmacologic vulnerabilities. HTS identified additional therapeutic vulnerabilities, such as a striking correlation between a positive mesenchymal signature and sensitivity to BCL2-inhibitor venetoclax. Finally, we explored personalized drug sensitivities within iTHER, demonstrating HTS can support genomic and transcriptomic results, thereby strengthening the rationale for clinical uptake.

We established a dynamic publicly available dataset with detailed genomic, transcriptomic, and pharmacological annotation of classical neuroblastoma cell lines as well as novel sharable NBL-PDOs, representing the heterogeneous landscape of neuroblastoma. We anticipate that in vitro drug screening will be complementary to genomic-guided precision medicine by supporting clinical decision making, thereby improving prognosis for all neuroblastoma patients in the future.

Developing and providing the right therapy for the right patient (or personalized targeted treatments) is key to reducing side-effects and improving survival in childhood cancers. Most efforts aiming to personalize childhood cancer treatment use genomic analysis of malignancies to identify potentially targetable genetic events. But it is becoming clear that not all patients will have an actionable change, and in those that do there is no additional way to determine if treatments will be effective. Ex vivo drug screening is a laboratory technique used to test the effects of various drugs or compounds, on biological tissues or cells that have been removed from an organism. This information is then used to predict which cancer treatments will be most effective based on the therapeutic response in the tissue or cells removed from that individual. Its utility in personalizing treatments in childhood cancer is increasingly recognized. In this review we describe the different methods for ex vivo drug screening and the advantages and disadvantages of each technique. We also present recent evidence that ex vivo screening may have utility in a variety of childhood malignancies including an overview of current clinical trials appraising its use. Finally, we discuss the research questions and hurdles that must be overcome before ex vivo screening can be widely used in pediatric oncology.

Intratumoral heterogeneity drives therapy resistance and relapses in advanced stage cancers, such as ovarian cancer. Here, we present a live cell imaging assay using patient-derived ovarian cancer organoids for real time capture and quantification of natural killer cell-mediated apoptotic events in >500 organoids simultaneously. Our assay revealed significant inter- and intratumor response heterogeneity and identified a rare resistant organoid population, opening avenues to test immunomodulatory strategies that overcome resistance.

Consensus regarding the hyperthermic intraperitoneal chemotherapy (HIPEC) for colorectal cancer (CRC) regimen remains elusive. In this study, patient-derived tumor organoids from CRC were utilized as a preclinical model for in vitro drug testing of HIPEC regimens commonly used in clinical practice. This approach was used to facilitate the clinical formulation of HIPEC.

Tumor tissues and corresponding clinical data were obtained from patients diagnosed with CRC at the Sixth Affiliated Hospital of Sun Yat-Sen University. Qualified samples were cultured and passaged. We aimed to assess the sensitivity of in vitro hyperthermic perfusion using five different regimens, i.e. mitomycin C, mitomycin C combined with cisplatin, mitomycin C combined with 5-fluorouracil, oxaliplatin, and oxaliplatin combined with 5-fluorouracil.

Tumor organoids obtained from 46 patients with CRC were cultured, and in vitro hyperthermic perfusion experiments were conducted on 42 organoids using five different regimens. The average inhibition rate of mitomycin C was 85.2% (95% confidence interval [CI] 80.4-89.9%), mitomycin C combined with cisplatin was 85.5% (95% CI 80.2-90.7%), mitomycin C combined with 5-fluorouracil was 65.6% (95% CI 59.6-71.6%), oxaliplatin was 37.9% (95% CI 31.5-44.3%), and oxaliplatin combined with 5-fluorouracil was 40.7% (95% CI 33.9-47.5%).

In vitro hyperthermic perfusion demonstrates that the inhibition rate of mitomycin C, both alone and in combination with cisplatin, surpasses that of the combination of mitomycin C with 5-fluorouracil and oxaliplatin. In clinical practice, the combination of mitomycin C and cisplatin can be regarded as the optimal choice for HIPEC in CRC.

Drug resistance often stems from drug-tolerant persister (DTP) cells in cancer. These cells arise from various lineages and exhibit complex dynamics. However, effectively targeting DTP cells remains challenging. We used single-cell RNA sequencing (scRNA-Seq) data and machine learning (ML) models to identify DTP cells in patient-derived organoids (PDOs) and computationally screened candidate drugs targeting these cells in familial adenomatous polyposis (FAP), associated with a high risk of colorectal cancer. Three PDOs (benign and malignant tumor organoids and a normal organoid) were evaluated using scRNA-Seq. ML models constructed based on public scRNA-Seq data classified DTP versus non-DTP cells. Candidate drugs for DTP cells in a malignant tumor organoid were identified from public drug sensitivity data. From FAP scRNA-Seq data, a specific TC1 cell cluster in tumor organoids was identified. The ML model identified up to 36 % of TC1 cells as DTP cells, a higher proportion than those for other clusters. A viability assay using a malignant tumor organoid demonstrated that YM-155 and THZ2 exert synergistic effects with trametinib. The constructed ML model is effective for DTP cell identification based on scRNA-Seq data for FAP and provides candidate treatments. This approach may improve DTP cell targeting in the treatment of colorectal and other cancers.

Colorectal cancer (CRC) is a major health problem, with an alarming increase of early-onset CRC (EO-CRC) cases among individuals under 50 years of age. This trend shows the urgent need for understanding the underlying mechanisms leading to EO-CRC development and progression. There is significant evidence that the gut microbiome acts as a key player in CRC by triggering molecular changes in the colon epithelium, leading to tumorigenesis. However, a comprehensive collection and comparison of methods to study such tumor-microbiome interactions in the context of EO-CRC is sparse. This review provides an overview of the available in vivo, ex vivo as well as in vitro approaches to model EO-CRC and assess the effect of gut microbes on tumor development and growth. By comparing the advantages and limitations of each model system, it highlights that, while no single model is perfect, each is suitable for studying specific aspects of microbiome-induced tumorigenesis. Taken together, multifaceted approaches can simulate the human body's complexity, aiding in the development of effective treatment and prevention strategies for EO-CRC.

Mechanical properties of intestinal organoids are crucial for intestinal development, homeostatic renewal, and pathogenesis. However, characterizing these properties remains challenging. Here, we developed a microinjection-based method to quantify the growth time-dependent nonlinear elasticity of intestinal organoids. With aid of the neo-Hookean hyperelastic constitutive model, we discovered that the global elastic modulus of intestinal organoids increased linearly during the early stages of culture, followed by a sharp rise, indicating a time-dependent nonlinear hardening behaviour during growth. The global modulus of intestinal organoids was found to correlate with the cell phenotype ratio, revealing a significant relationship between mechanical properties and biological phenotypes. Furthermore, we developed a biomechanical model on the basis of the unsteady Bernoulli equation to quantitatively explore the global mechanical responses of intestinal organoids, which showed good agreement with the experimental data. The work not only elucidated the mechanical response and modulus characteristics of small intestinal organoids from a biomechanical perspective, but also presented a new microinjection-based methodology for quantifying the mechanical properties of organoids, offering significant potential for various organoid-related applications. STATEMENT OF SIGNIFICANCE: Mechanical properties of intestinal organoids are essential for intestinal development, homeostatic renewal, and pathogenesis. However, how to quantitatively characterize their global mechanical properties remains challenging. Here, we developed a new microinjection-based experimental platform to quantify spatiotemporal dynamics of mechanical responses and global elasticity of intestinal organoids. Unlike traditional nanoindentation methods, the proposed characterization technique can quantitatively measure the global mechanical properties of organoids, which is crucial for detecting the inherent relationship between the global mechanical properties and the biological phenotypes of organoids. Likewise, it established a methodological foundation for revealing the mechanobiological characteristics associated with the growth and development of various organoids. This can enhance our understanding of mechanobiological mechanisms of organoids and is beneficial for various organoid-related applications.

Studying the human immune system in vivo is challenging and often not possible. Therefore, most human immunology studies have been predominantly confined to peripheral blood analyses, which by themselves have inherent limitations, as many immune reactions take place within tissues. For example, potent antibody responses that contribute to fighting infections and provide protection following vaccination require cellular interactions between B cells and T cells in specialized micro-anatomical structures called germinal centers, which are found in secondary lymphoid organs such as spleen, lymph nodes, and tonsils. Thus, there is a clear demand for novel enhanced experimental systems that faithfully recapitulate the intricate dynamics of the human immune system as much as possible. In this review, we discuss recent advances in versatile human tonsil/adenoid tissue-based ex vivo immune organoid cultures as well as related cancer and autoimmunity-focused experimental setups. These systems have been implemented as translational immunology platforms for in-depth analyses of human B and T cell-mediated immune responses, thereby facilitating mechanistic studies as well as drug and vaccine testing in a human-first approach.

Organoids have revolutionized the whole field of biology with their ability to model complex three-dimensional human organs in vitro. Intestinal organoids were especially consequential as the first successful long-term culture of intestinal stem cells, which raised hopes for translational medical applications. Despite significant contributions to basic research, challenges remain to develop intestinal organoids into clinical tools for diagnosis, prognosis, and therapy. In this review, we outline the current state of translational research involving adult stem cell and pluripotent stem cell derived intestinal organoids, highlighting the advances and limitations in disease modeling, drug-screening, personalized medicine, and stem cell therapy. Preclinical studies have demonstrated a remarkable functional recapitulation of infectious and genetic diseases, and there is mounting evidence for the reliability of intestinal organoids as a patient-specific avatar. Breakthroughs now allow the generation of structurally and cellularly complex intestinal models to better capture a wider range of intestinal pathophysiology. As the field develops and evolves, there is a need for standardized frameworks for generation, culture, storage, and analysis of intestinal organoids to ensure reproducibility, comparability, and interpretability of these preclinical and clinical studies to ultimately enable clinical translation.

Matrigel is the most commonly used matrix for 3D organoid cultures. Research on the biomaterial basis of Matrigel for organoid cultures is a highly challenging field. Currently, many studies focus on Matrigel-based biological macromolecules or combinations to construct natural Matrigel and synthetic hydrogel scaffolds based on collagen, peptides, polysaccharides, microbial transglutaminase, DNA supramolecules, and polymers for organoid culture. In this review, we discuss the limitations of both natural and synthetic Matrigel, and describe alternative scaffolds that have been employed for organoid cultures. The patient-derived organoids were constructed in different cancer types and limitations of animal-derived organoids based on the hydrogel or Matrigel. The constructed techniques utilizing 3D bioprinting platforms, air-liquid interface (ALI) culture, microfluidic culture, and organ-on-a-chip platform are summarized. Given the potential of organoids for a wide range of therapeutic, tissue engineering and pharmaceutical applications, it is indeed imperative to develop defined and customized hydrogels in addition to Matrigel.

Despite significant research progress, tumor heterogeneity remains elusive, and its complexity poses a barrier to anticancer drug discovery and cancer treatment. Response to the same drug varies across patients, and the timing of treatment is an important factor in determining prognosis. Therefore, development of patient-specific preclinical models that can predict a patient's drug response within a short period is imperative. In this study, a printed gastric cancer (pGC) model is developed for preclinical chemotherapy using extrusion-based 3D bioprinting technology and tissue-specific bioinks containing patient-derived tumor chunks. The pGC model retained the original tumor characteristics and enabled rapid drug evaluation within 2 weeks of its isolation from the patient. In fact, it is confirmed that the drug response-related gene profile of pGC tissues co-cultured with human gastric fibroblasts (hGaFibro) is similar to that of patient tissues. This suggested that the application of the pGC model can potentially overcome the challenges associated with accurate drug evaluation in preclinical models (e.g., patient-derived xenografts) owing to the deficiency of stromal cells derived from the patient. Consequently, the pGC model manifested a remarkable similarity with patients in terms of response to chemotherapy and prognostic predictability. Hence, it is considered a promising preclinical tool for personalized and precise treatments.

Hepatocellular carcinoma (HCC) represents a global health challenge, and ranks among one of the most prevalent and deadliest cancers worldwide. Therapeutic advances have expanded the treatment armamentarium for patients with advanced HCC, but obstacles remain. Precision oncology, which aims to match specific therapies to patients who have tumours with particular features, holds great promise. However, its implementation has been hindered by the existence of numerous 'HCC influencers' that contribute to the high inter-patient heterogeneity. HCC influencers include tumour-related characteristics, such as genetic alterations, immune infiltration, stromal composition and aetiology, and patient-specific factors, such as sex, age, germline variants and the microbiome. This Review delves into the intricate world of HCC, describing the most innovative model systems that can be harnessed to identify precision and/or personalized therapies. We provide examples of how different models have been used to nominate candidate biomarkers, their limitations and strategies to optimize such models. We also highlight the importance of reproducing distinct HCC influencers in a flexible and modular way, with the aim of dissecting their relative contribution to therapy response. Next-generation HCC models will pave the way for faster discovery of precision therapies for patients with advanced HCC.

Small cell carcinoma of the ovary, hypercalcemic type (SCCOHT) is a rare and lethal tumor in adolescent and young adult patients. Now, there is no standard-of-care treatment for these patients. Reliable models that represent this disease and can be used for translational research are scarce. To model SCCOHTs, we have established eight patient-derived tumoroid lines from tumor lesions of three patients with SCCOHT. The tumoroids recapitulate genomic and transcriptomic characteristics of the corresponding patient tumors and capture intrapatient tumor heterogeneity. Organoid drug profiling using a library of 153 clinical compounds identified methotrexate as an effective and selective drug against SCCOHTs with a clinically relevant IC50 of 35 nanomolars. RNA sequencing demonstrated that methotrexate induced TP53 pathway activation and apoptosis. These data underscore that organoid technology can support the design of therapeutic strategies for rare cancers.

Organoids have revolutionized in vitro research by offering three-dimensional, multicellular systems that recapitulate the structure, function, and genetics of human tissues. Initially developed from both pluripotent stem cells (PSCs) and adult stem cells (AdSCs), organoids have expanded to model nearly every major human organ, significantly advancing developmental biology, disease modeling, and therapeutic screening. This review highlights the progression of organoid technologies, emphasizing the integration of genetic tools, including CRISPR-Cas9, prime editing, and lineage tracing. These advancements have facilitated precise modeling of human-specific pathologies and drug responses, often surpassing traditional 2D cultures and animal models in accuracy. Emerging technologies, such as organoid fusion, xenografting, and optogenetics, are expected to further enhance our understanding of cellular interactions and microenvironmental dynamics. As organoid complexity and genetic engineering methods continue to evolve, they will become increasingly indispensable for personalized medicine and translational research, bridging gaps between in vitro and in vivo systems.

Overcoming osimertinib resistance in NSCLC treatment remains a significant clinical challenge. CDK9 has emerged as a promising target due to its critical role in sustaining oncogenic transcriptional programs, particularly via Mcl-1 regulation. Herein, we report the structure-guided optimization of a previously identified CDK9 inhibitor (Z11), resulting in the discovery of T7, a potent, selective, and metabolically stable candidate (IC50 = 1.2 nM). T7 effectively suppressed cell proliferation, reduced colony formation, and induced apoptosis in Osimertinib-resistant NSCLC cells by downregulating Mcl-1. Furthermore, T7 significantly inhibited the growth of resistant organoids and demonstrated marked antitumor efficacy in a xenograft model. Notably, combining T7 with the BRD4 inhibitor JQ1 further enhanced antitumor activity both in vitro and in vivo, revealing a complementary therapeutic strategy. These findings identify T7 as a promising next-generation CDK9 inhibitor for addressing Osimertinib resistance in NSCLC and underscore the potential of transcriptional cotargeting approaches to improve clinical outcomes.

In vitro and in vivo preclinical examinations of cancer cell lines are performed to determine the effectiveness of new drugs before initiating clinical trials. However, there is often a significant disparity between the promising results observed in preclinical evaluations and actual outcomes in clinical trials. Therefore, we hypothesized that this inconsistency might be due to the differences between the characteristics of cell lines and actual cancers in patients. Therefore, we screened drugs for bile duct cancer to test our hypotheses.

We established patient-derived cancer organoids (PDCOs) from the surgical samples of patients with bile duct cancer and conducted multiple in vitro drug screening tests.

We identified proteasome inhibitors (Bortezomib and Carfilzomib) as promising drugs in the screening. Bortezomib has demonstrated a significant antitumor effect on bile duct cancer cell-derived xenografts, as previously reported in preclinical trials. However, although Bortezomib showed significant proliferation inhibition in PDCOs in three-dimensional culture in vitro, it did not exhibit significant anti-tumor effects in mouse xenograft tumor models using our PDCOs. Bile duct cancer cell-line-derived xenografts are characterized by structurally uniform, irregular glandular structures surrounded by simple and sparse stromal components. However, organoid-derived xenografts exhibit a spectrum of differentiation levels within irregular glandular structures and consist of a complex and rich stromal microenvironment similar to those observed in surgical specimens.

These findings suggest that in vivo studies using PDCO xenograft tumor models may be more suitable than conventional mouse tumor models for determining the clinical development of drugs.

Human organoids are a widely used tool in cell biology to study homeostatic processes, disease, and development. The term organoids covers a plethora of model systems from different cellular origins that each have unique features and applications but bring their own challenges. This review discusses the basic principles underlying organoids generated from pluripotent stem cells (PSCs) as well as those derived from tissue stem cells (TSCs). We consider how well PSC- and TSC-organoids mimic the different intended organs in terms of cellular complexity, maturity, functionality, and the ongoing efforts to constitute predictive complex models of in vivo situations. We discuss the advantages and limitations associated with each system to answer different biological questions including in the field of cancer and developmental biology, and with respect to implementing emerging advanced technologies, such as (spatial) -omics analyses, CRISPR screens, and high-content imaging screens. We postulate how the two fields may move forward together, integrating advantages of one to the other.

Peritoneal carcinomatosis is a common yet deadly manifestation of gastrointestinal cancers, with few effective treatments. To identify targetable determinants of peritoneal metastasis, we focused on appendiceal adenocarcinoma (AC), a gastrointestinal cancer that metastasizes almost exclusively to the peritoneum. Current treatments are extrapolated from colorectal cancer (CRC), yet AC has distinct genomic alterations, mucinous morphology and peritoneum restricted metastatic pattern. Further, no stable preclinical models of AC exist, limiting drug discovery and representing an unmet clinical need. We establish a first-in-class stable biobank of 16 long-term cultured AC patient-derived organoids (PDOs), including 3 matched, simultaneously resected primary AC-peritoneal carcinomatosis (AC-PC) pairs. By enriching for cancer cells, AC PDOs enable accurate genomic characterization relative to paucicellular AC tissue. We establish an organoid orthotopic intraperitoneal xenograft model that recapitulates diffuse peritoneal carcinomatosis and show that PC-organoids retain increased metastatic capacity, decreased growth factor dependency and sensitivity to standard of care chemotherapy relative to matched primary AC organoids. Single cell profiling of AC-PC pairs reveals dedifferentiation from mucinous differentiated states in primary AC into intestinal stem cell and fetal progenitor states in AC-PC, with upregulation of oncogenic signaling pathways. Through hypothesis-driven drug testing, we identify KRAS MULTI -ON inhibitor RMC-7977 and Wnt-targeting tyrosine kinase inhibitor WNTinib as novel, clinically actionable strategies to target AC-PC more effectively.

Advancing the understanding of the various roles and components of the immune system requires sophisticated methods and technology for the detection of immune cells in their natural states. Recent advancements in the development of molecular probes for optical imaging have paved the way for non-invasive visualization and real-time monitoring of immune responses and functions. Here we discuss recent progress in the development of molecular probes for the selective imaging of specific immune cells. We emphasize the design principles of the probes and their comparative performance when using various optical modalities across disease contexts. We highlight molecular probes for imaging tumour-infiltrating immune cells, and their applications in drug screening and in the prediction of therapeutic outcomes of cancer immunotherapies. We also discuss the use of these probes in visualizing immune cells in atherosclerosis, lung inflammation, allograft rejection and other immune-related conditions, and the translational opportunities and challenges of using optical molecular probes for further understanding of the immune system and disease diagnosis and prognosis.

Various model systems are utilised during drug development starting from basic research, moving to preclinical research and development for clinical applications in order to identify new drugs to improve human health. However, there are characteristics of humans that are not captured by established models. Such models include homogeneous two-dimensional (2D) cell lines, which lack cellular heterogeneity and physiological relevance, and species differences of animal models. Organoids can mitigate these differences by providing more physiologically relevant three-dimensional (3D) cell models that resemble the molecular state in healthy and pathological tissue. This review presents exemplary approaches using patient-derived organoids (PDOs) that have been developed and the new opportunities that are evolving in drug development with a focus on patient adult stem cell (ASC)-derived organoids. These demonstrate the potential of PDOs used alongside established cell and animal models to improve drug development from basic research to clinical applications such as personalised medicine.

A drug to be successfully launched in the market requires a significant amount of capital, resources and time, where the unsuccessful results in the last stages lead to catastrophic failure for discovering drugs. This is the very reason which calls for the invention of innovative models that can closely mimic the human in vivo model for producing reliable results. Throughout the innovation line, there has been improvement in the rationale in silico designing but yet there is requirement for in vitro-in vivo correlations. During the evolving of the drug testing models, the 3D models produced by different methods have been proven to produce better results than the traditional 2D models. However, the in vitro fabrications of live tissues are still bottleneck in realizing their complete potential. There is an urgent need for the development of single, standard and simplified in vitro 3D tissue models that can be reliable for investigating the biological and pathological aspects of drug discovery, which is yet to be achieved. The existing pre-clinical models have considerable drawbacks despite being the gold standard in pre-clinical research. The major drawback being the interspecies differences and low reliability on the generated results. This gap could be overcome by the fabrication of bioengineered human disease models for drug screening. The advancement in the fabrication of 3D models will provide a valuable tool in screening drugs at different stages as they are one step closer to bio-mimic human tissues. In this review, we have discussed on the evolution of preclinical studies, and different models, including mini tissues, spheroids, organoids, bioengineered three dimensional models and organs on chips. Furthermore, we provide details of different disease models fabricated across various organs and their applications. In addition to this, the review also focuses on the limitations and the current prospects of the role of three dimensionally bioprinted models in drug screening and development.

Autofluorescence microscopy uses intrinsic sources of molecular contrast to provide cellular-level information without extrinsic labels. However, traditional cell segmentation tools are often optimized for high signal-to-noise ratio (SNR) images, such as fluorescently labeled cells, and unsurprisingly perform poorly on low SNR autofluorescence images. Therefore, new cell segmentation tools are needed for autofluorescence microscopy. Cellpose is a deep learning network that is generalizable across diverse cell microscopy images and automatically segments single cells to improve throughput and reduce inter-human biases. This study aims to validate Cellpose for autofluorescence imaging, specifically using multiphoton intensity images of NAD(P)H. Manually segmented nuclear masks of NAD(P)H images were used to train a new autofluorescence-trained model (ATM) in Cellpose for nuclear segmentation of NAD(P)H intensity images. These models were applied to PANC-1 cells treated with metabolic inhibitors and patient-derived cancer organoids (9 patients) treated with chemotherapies. These datasets include co-registered fluorescence lifetime imaging microscopy (FLIM) of NAD(P)H and FAD, so fluorescence decay parameters and the optical redox ratio (ORR) were compared between masks generated by the new ATM and manual segmentation. The Dice score between repeated manually segmented masks was significantly lower than that of repeated ATM masks (p < 0.0001) indicating greater reproducibility between ATM masks. There was also a high correlation (R2 > 0.9) between ATM and manually segmented masks for the ORR, mean NAD(P)H lifetime, and mean FAD lifetime across 2D and 3D cell culture treatment conditions. Masks generated from ATM and manual segmentation also maintain similar means, variances, and effect sizes between treatments for the ORR and FLIM parameters. Overall, the Cellpose ATM provides a fast, reliable, reproducible, and accurate method to segment single cells in autofluorescence microscopy images such that functional changes in cells are accurately captured in both 2D and 3D culture.