Tumor Extracellular Matrix Research Articles

Sequentially degradable hydrogel-microsphere loaded with doxorubicin and pioglitazone synergistically inhibits cancer stemness of osteosarcoma

Drug resistance represents one of the greatest challenges in cancer treatment. Cancer stem cells (CSCs) are thought to be the major cause of failure in cancer therapy due to their considerable resistance to most chemotherapeutic agents, resulting in tumor recurrence and eventually metastasis. Here, we report a treatment strategy for osteosarcoma using hydrogel−microspheres (Gel−Mps) complex mainly composed of collagenase (Col) and PLGA microspheres (Mps) carrying Pioglitazone (Pio) and Doxorubicin (Dox). Col was encapsulated in the thermosensitive gel to preferentially degrade tumor extracellular matrix (ECM), ensuring subsequent drug penetration, while Mps with Pio and Dox were co-delivered to synergistically inhibit tumor growth and metastasis. Our results showed that the Gel−Mps dyad functions as a highly biodegradable, extremely efficient, and low-toxic reservoir for sustained drug release, displaying potent inhibition of tumor proliferation and subsequent lung metastasis. Selective PPARγ agonist Pio reversed drug resistance to Dox by significantly down-regulating the expression of stemness markers and P-glycoprotein (P-gp) in osteosarcoma cells. The Gel@Col-Mps@Dox/Pio exhibited advanced therapeutic efficacy in vivo, demonstrating its great potential to serve a novel osteosarcoma therapy, which not only inhibits the growth of, but also attenuates the stemness of osteosarcoma. The dual effects reinforce the sensitivity and efficacy of chemotherapy.

Tumor collagens predict genetic features and patient outcomes

The extracellular matrix (ECM) is a critical determinant of tumor fate that reflects the output from myriad cell types in the tumor. Collagens constitute the principal components of the tumor ECM. The changing collagen composition in tumors along with their impact on patient outcomes and possible biomarkers remains largely unknown. The RNA expression of the 43 collagen genes from solid tumors in The Cancer Genome Atlas (TCGA) was clustered to classify tumors. PanCancer analysis revealed how collagens by themselves can identify the tissue of origin. Clustering by collagens in each cancer type demonstrated strong associations with survival, specific immunoenvironments, somatic gene mutations, copy number variations, and aneuploidy. We developed a machine learning classifier that predicts aneuploidy, and chromosome arm copy number alteration (CNA) status based on collagen expression alone with high accuracy in many cancer types with somatic mutations, suggesting a strong relationship between the collagen ECM context and specific molecular alterations. These findings have broad implications in defining the relationship between cancer-related genetic defects and the tumor microenvironment to improve prognosis and therapeutic targeting for patient care, opening new avenues of investigation to define tumor ecosystems.

Extracellular matrix remodelling and stiffening contributes to tumorigenesis of salivary carcinoma ex pleomorphic adenoma——A study based on patient-derived organoids

BackgroundSalivary carcinoma ex pleomorphic adenoma (CXPA) is defined as a carcinoma that develops from benign pleomorphic adenoma (PA). Abnormally activated Androgen signaling pathway and amplification of HER-2/neu(ERBB-2) gene are known to be involved in CXPA tumorigenesis. Recent progress in tumour microenvironment research has led to identification that extracellular matrix (ECM) remodelling and increased stiffness act as critical contributing role in tumour carcinogenesis. This study examined ECM modifications to elucidate the mechanism underlying CXPA tumorigenesis.ResultsPA and CXPA organoids were successfully established. Histological observation, immunohistochemistry (IHC), and whole-exome sequencing demonstrated that organoids recapitulated phenotypic and molecular characteristics of their parental tumours. RNA-sequencing and bioinformatic analysis of organoids showed that differentially expressed genes are highly enriched in ECM-associated terms, implying that ECM alternations may be involved in carcinogenesis. Microscopical examination for surgical samples revealed that excessive hyalinized tissues were deposited in tumour during CXPA tumorigenesis. Transmission electron microscopy confirmed that these hyalinized tissues were tumour ECM in nature. Subsequently, examination by picrosirius red staining, liquid chromatography with tandem mass spectrometry, and cross-linking analysis indicated that tumour ECM was predominantly composed of type I collagen fibers, with dense collagen alignment and an increased level of collagen cross-linking. IHC revealed the overexpression of COL1A1 protein and collagen-synthesis-related genes, DCN and IGFBP5 (p < 0.05). Higher stiffness of CXPA than PA was demonstrated by atomic force microscopy and elastic imaging analysis. We utilized hydrogels to mimic ECM with varying stiffness degrees in vitro. Compared with softer matrices (5Kpa), CXPA cell line and PA primary cells exhibited more proliferative and invasive phenotypes in stiffer matrices (50Kpa, p < 0.01). Protein-protein interaction (PPI) analysis of RNA-sequencing data revealed that AR and ERBB-2 expression was associated with TWIST1. Moreover, surgical specimens demonstrated a higher TWIST1 expression in CXPA over PA. After knocking down TWIST1 in CXPA cells, cell proliferation, migration, and invasiveness were significantly inhibited (p < 0.01).ConclusionDeveloping CXPA organoids provides a useful model for cancer biology research and drug screening. ECM remodelling, attributed to overproduction of collagen, alternation of collagen alignment, and increased cross-linking, leads to increased ECM stiffness. ECM modification is an important contributor in CXPA tumorigenesis.

Denatured collagen inhibits neuroblastoma tumor-sphere migration and growth via the LOX/LOXL2 – FAK signaling pathway

A complex interplay exists within the tumor microenvironment and extracellular matrix, which could contribute to solid tumor progression. Collagen, a major component of the extracellular matrix, may correlate with cancer prognosis. While thermal ablation has shown promise as a minimally invasive treatment of solid tumors, its impact on collagen is still unknown. In this study, we demonstrate that thermal ablation, but not cryo-ablation, induces irreversible collagen denaturation in a neuroblastoma sphere model. Prolonged collagen denaturation resulted in a significant reduction in sphere stiffness, migration, and proliferation, and an increase in apoptosis. Mechanistic analysis revealed that collagen denaturation inhibited collagen cross-linking, reduced extracellular LOX/LOXL2 expression, and resulted in decreased phosphorylation of FAK. Downstream of FAK, we observed reduced epithelial to mesenchymal transition, attenuated CDC42 expression, and decreased migration. Collectively, these results suggest that denatured collagen presents a novel target for modulating the tumor microenvironment and treating solid cancers via the LOX1/LOXL2-FAK signaling pathway.

CTHRC1 Induces Pancreatic Stellate Cells (PSCs) into Myofibroblast-like Cancer-Associated Fibroblasts (myCAFs).

[BACKGROUND] Collagen triple helix repeat containing-1 (CTHRC1) is a secreted protein that contributes to the progression of various cancers, including pancreatic cancer. The higher expression of CTHRC1 in tumor tissues is associated with poorer survival outcomes. However, its specific roles in tumor extracellular matrix (ECM) remodeling remain unclear. Our study aims to investigate the influences of CTHRC1 on pancreatic stellate cells (PSCs), a main source of ECM production in pancreatic cancer. [METHODS AND RESULTS] The analyses of the publicly available pancreatic cancer patient data revealed that CTHRC1 is mainly expressed in cancer stroma and highly correlated with ECM-related genes. An in vitro study showed that more than 40% of these genes can be upregulated by CTHRC1. CTHRC1 specifically activated PSC into myofibroblast-like cancer-associated fibroblasts (myCAFs), which are characterized by a significantly upregulated POSTN gene expression. Periostin (coded by the POSTN gene) has a central role in the CTHRC1-PSCs-cancer metastasis axis. Furthermore, CTHRC1 promoted pancreatic cancer cell proliferation through PSC activation to a greater extent than via direct stimulation. Proof-of-concept experiments showed that the long-term (4-week) inhibition of CTHRC1 led to significant tumor suppression and ECM reduction, and also resulted in an unexpected shift in the CAF subtype from myCAFs to inflammatory CAFs (iCAFs). [CONCLUSION] PSC activation was demonstrated to be the key molecular mechanism responsible for the tumor-promoting effects of CTHRC1, and CTHRC1 has a critical role in CAF subtype differentiation and tumor microenvironment (TME) remodeling. The inhibition of CTHRC1 as a therapeutic strategy for the treatment of pancreatic cancer warrants further investigation.

Collagen VI deposition mediates stromal T cell trapping through inhibition of T cell motility in the prostate tumor microenvironment

The tumor extracellular matrix (ECM) is a barrier to anti-tumor immunity in solid tumors by disrupting T cell-tumor cell interaction underlying the need for elucidating mechanisms by which specific ECM proteins impact T cell motility and activity within the desmoplastic stroma of solid tumors. Here, we show that Collagen VI (Col VI) deposition correlates with stromal T cell density in human prostate cancer specimens. Furthermore, motility of CD4+ T cells is completely ablated on purified Col VI surfaces when compared with Fibronectin and Collagen I. Importantly, T cells adhered to Col VI surfaces displayed reduced cell spreading and fibrillar actin, indicating a reduction in traction force generation accompanied by a decrease in integrin β1 clustering. We found that CD4+ T cells largely lack expression of integrin α1 in the prostate tumor microenvironment and that blockade of α1β1 integrin heterodimers inhibited CD8+ T cell motility on prostate fibroblast-derived matrix, while re-expression of ITGA1 improved motility. Taken together, we show that the Col VI-rich microenvironment in prostate cancer reduces the motility of CD4+ T cells lacking integrin α1, leading to their accumulation in the stroma, thus putatively inhibiting anti-tumor T cell responses.

Role of Syndecans in Ovarian Cancer: New Diagnostic and Prognostic Biomarkers and Potential Therapeutic Targets

Ovarian cancer (OC) is the eighth cancer both in prevalence and mortality in women and represents the deadliest female reproductive cancer. Due to generally vague symptoms, OC is frequently diagnosed only at a late and advanced stage, resulting in high mortality. The tumor extracellular matrix and cellular matrix receptors play a key role in the pathogenesis of tumor progression. Syndecans are a family of four transmembrane heparan sulfate proteoglycans (PG), including syndecan-1, -2, -3, and -4, which are dysregulated in a myriad of cancers, including OC. Many clinicopathological studies suggest that these proteins are promising diagnostic and prognostic biomarkers for OC. Furthermore, functions of the syndecan family in the regulation of cellular processes make it an interesting pharmacological target for anticancer therapies.

3D bioprinting of multi-cellular tumor microenvironment for prostate cancer metastasis

Prostate cancer (PCa) is one of the most lethal cancers in men worldwide. The tumor microenvironment (TME) plays an important role in PCa development, which consists of tumor cells, fibroblasts, endothelial cells, and extracellular matrix (ECM). Hyaluronic acid (HA) and cancer-associated fibroblasts (CAFs) are the major components in the TME and are correlated with PCa proliferation and metastasis, while the underlying mechanism is still not fully understood due to the lack of biomimetic ECM components and coculture models. In this study, gelatin methacryloyl/chondroitin sulfate-based hydrogels were physically crosslinked with HA to develop a novel bioink for the three-dimensional bioprinting of a coculture model that can be used to investigate the effect of HA on PCa behaviors and the mechanism underlying PCa-fibroblasts interaction. PCa cells demonstrated distinct transcriptional profiles under HA stimulation, where cytokine secretion, angiogenesis, and epithelial to mesenchymal transition were significantly upregulated. Further coculture of PCa with normal fibroblasts activated CAF transformation, which could be induced by the upregulated cytokine secretion of PCa cells. These results suggested HA could not only promote PCa metastasis individually but also induce PCa cells to activate CAF transformation and form HA-CAF coupling effects to further promote PCa drug resistance and metastasis.

The emerging promise of tumour mechanobiology in cancer treatment

Tumour cell biomechanics has lately came to the fore as a disparate feature that fosters cancer development and progression. Tumour mechanosensing entails a mechanical interplay amongst tumour cells, extracellular matrix (ECM) and cells of the tumour microenvironment (TME). Sensory receptors (mechanoceptors) detect changes of extracellular mechanical inputs such as various types of mechanical forces/stress and trigger oncogenic signalling pathways advocating for cancer initiation, growth, survival, angiogenesis, invasion, metastasis, and immune evasion. Moreover, alterations in ECM stiffness and potentiation of mechanostimulated transcriptional regulatory molecules (transcription factors/cofactors) have been shown to strongly correlate with resistance to anticancer drugs. On this basis, new mechanosensitive proteins emerge as potential therapeutic targets and/or biomarkers in cancer. Accordingly, tumour mechanobiology arises as a promising field that can potentially provide novel combinatorial regimens to reverse drug resistance, as well as offer unprecedented targeting approaches that may help to more effectively treat a large proportion of solid tumours and their complications.Here, we highlight recent findings regarding various aspects of tumour mechanobiology in the clinical setting and discuss evidence-based perspectives of developing diagnostic/prognostic tools and therapeutic approaches that exploit tumour−TME physical associations.

A highly selective humanized DDR1 mAb reverses immune exclusion by disrupting collagen fiber alignment in breast cancer

BackgroundImmune exclusion (IE) where tumors deter the infiltration of immune cells into the tumor microenvironment has emerged as a key mechanism underlying immunotherapy resistance. We recently reported a novel role...

Use of AI-based second harmonic generation digital pathology for predicting patient survival for triple negative breast cancer patients.

e12526 Background: Extracellular matrix (ECM) in the stromal region has been known to be associated with tumorigenesis and metastasis in breast cancers. About 10-20% of all breast cancers are triple-negative breast cancers (TNBC), considered to be more aggressive with poorer prognosis than other types of breast cancer. AI-based Second Harmonic Generation (SHG) digital pathology, which is a fully quantitative fibrosis assessment, has been widely used innon-alcoholic steatohepatitis (NASH) and is FDA approved primary endpoint in NASH phase 2 clinical trials. In oncology, AI-based SHG digital pathology has demonstrated its relevance in survival prognosis for hepatocellular carcinoma and renal cell carcinoma after surgical treatment, based on analysis of tumor and non-tumor tissue collagen parameters. In this study, we study its potential applications for survival prognosis of TNBC patients. Methods: 68 patients with TNBC were treated by breast-cancer excision surgery. Tumor and non-tumor tissue from excised mass was imaged by SHG microscope (Genesis200, HistoIndex Pte. Ltd., Singapore). Regular follow-up was performed for patients post-operatively. A total of 33 collagen morphology features for collagen strings were quantified, such as length/width of strings, number of long/short/thick/thin strings, from tumour and non-tumour tissues. We used these collagen parameters to build two survival prediction models (RFS-index and OS-index) to predict patient’s recurrence-free survival (RFS) and overall survival (OS) years. The models were validated using the leave-one-out method. Results: Both RFS-index and OS-index were created using 10 specific collagen parameters chosen by sequential selection methods from overall 33 collagen parameters evaluated. 9 out of 10 parameters were selected from non-tumour tissue. The RFS-index can differentiate patients with RFS≥3 years (n = 36) and RFS &lt; 3 years (p &lt; 0.001) with cut-off value of RFS-index = 0.50. The OS-index can differentiate patients with OS≥5 years (n = 42) and OS &lt; 5 years (p &lt; 0.001) with cut-off value of RFS-index = 0.55. The log-rank test showed RFS-index (p = 0.026) and OS-index (p &lt; 0.001) can be used for prediction of disease-free and overall survival based on collagen parameters. Conclusions: SHG based AI-aided quantitative assessment of ECM collagen has been shown to correlate with survival rates of TNBC patients. This is a proof of concept study applying AI based digital pathology in helping predict survival rates for TNBC patients based on tumor and non-tumor tissue ECM collagen parameters. This could help identify patients with a higher risk of recurrence of disease and lower overall survival rates. Such patients can be followed-up more carefully, and be considered for earlier treatment interventions to improve their survival outcomes.

Extracellular matrix educates an immunoregulatory tumor macrophage phenotype found in ovarian cancer metastasis

Recent studies have shown that the tumor extracellular matrix (ECM) associates with immunosuppression, and that targeting the ECM can improve immune infiltration and responsiveness to immunotherapy. A question that remains unresolved is whether the ECM directly educates the immune phenotypes seen in tumors. Here, we identify a tumor-associated macrophage (TAM) population associated with poor prognosis, interruption of the cancer immunity cycle, and tumor ECM composition. To investigate whether the ECM was capable of generating this TAM phenotype, we developed a decellularized tissue model that retains the native ECM architecture and composition. Macrophages cultured on decellularized ovarian metastasis shared transcriptional profiles with the TAMs found in human tissue. ECM-educated macrophages have a tissue-remodeling and immunoregulatory phenotype, inducing altered T cell marker expression and proliferation. We conclude that the tumor ECM directly educates this macrophage population found in cancer tissues. Therefore, current and emerging cancer therapies that target the tumor ECM may be tailored to improve macrophage phenotype and their downstream regulation of immunity.

Delivery of Chemotherapy Agents and Nucleic Acids with pH-Dependent Nanoparticles.

With less than one percent of systemically injected nanoparticles accumulating in tumors, several novel approaches have been spurred to direct and release the therapy in or near tumors. One such approach depends on the acidic pH of the extracellular matrix and endosomes of the tumor. With an average pH of 6.8, the extracellular tumor matrix provides a gradient for pH-responsive particles to accumulate, enabling greater specificity. Upon uptake by tumor cells, nanoparticles are further exposed to lower pHs, reaching a pH of 5 in late endosomes. Based on these two acidic environments in the tumor, various pH-dependent targeting strategies have been employed to release chemotherapy or the combination of chemotherapy and nucleic acids from macromolecules such as the keratin protein or polymeric nanoparticles. We will review these release strategies, including pH-sensitive linkages between the carrier and hydrophobic chemotherapy agent, the protonation and disruption of polymeric nanoparticles, an amalgam of these first two approaches, and the release of polymers shielding drug-loaded nanoparticles. While several pH-sensitive strategies have demonstrated marked antitumor efficacy in preclinical trials, many studies are early in their development with several obstacles that may limit their clinical use.

Phenotype Switching of Breast Cancer Cells upon Matrix Interface Crossing

Tumor cell growth, invasion, and metastasis are dependent on the tumor microenvironment. Many studies emphasize a correlation between the material characteristics of the tumor extracellular matrix (ECM) and the invasive properties of tumor cells and even a trigger of tumor aggressiveness. Herein, we report that the previously observed trigger of migration characteristics of MDA-MB-231 breast cancer cells during transmigration across interfaces of two differently porous matrices is strongly correlated with a persistent change in cell invasiveness and aggressiveness. Using an in vitro 3D model of fibrillar collagen-I matrices, we found an increase in migration directionality, strongly elongated morphology, higher proliferation, and an increase in aggressive markers in the genetic profile after cells crossed the interface from dense to open porous matrix microstructure. Moreover, our results indicate strong nuclear deformation and increased DNA damage during transmigration of the matrix interface as a possible trigger of the more aggressive phenotype. These findings suggest that distinct tissue interfaces or altered ECM conditions with differences in microstructure may instruct or even reprogram tumor cells toward more aggressive phenotypes in vivo. The biomedical relevance of our results is corroborated by additional findings that the transmigrated cells exhibit an increased resistance against a common breast cancer therapeutic.

Why 3D in vitro cancer models are the future of cancer research?

Tumors are three-dimensional (3D) entities characterized by complex structural architecture which is necessary for adequate intercellular, intracellular and cell-to-matrix interactions among the aberrant cells in cancer. In the field of cancer research, 2D cell cultures are traditionally used for decades in the majority of experiments. The reasons for this are the vast benefits these models provide, including simplicity and cost effectiveness. However, it is now known that these models are exposed to much higher stiffness, they lose physiological extracellular matrix (ECM) on artificial plastic surfaces as well as differentiation, polarization and cell-cell communication. This leads to the loss of crucial cellular signaling pathways and changes in cell responses to stimuli when compared to in vivo conditions. Moreover, they cannot adequately mimic the complexity and dynamic interactions of the tumor microenvironment (TME) which is of great importance in anticancer drug treatments. 3D models seem more biomimetic compared to 2D cell monolayers because they offer the opportunity to model the cancer mass together with its environment which seems the key factor in promoting and directing cancer invasion. 3D cell culture with its additional dimensionality makes the difference in cellular responses because it influences the spatial and physical aspects of the cells in 3D culture. This affects the signal transduction and makes the behavior of 3D-cultured cells more physiologically relevant and reflective of in vivo cellular responses. This review focuses on major differences between 2D and 3D cell cultures, highlighting the importance of considering bioengineering humanized 3D cancer models as the future in cancer research. Additionally, it presents diverse 3D models currently used in cancer research, outlining their benefits and limitations. Precisely, this review highlights the differences between the 3D models with the focus on tumor stroma interactions, cell population and extracellular matrix composition providing methods and examples for each model from the studies done so far.

Hyperbaric Oxygen Activates Enzyme-Driven Cascade Reactions for Cooperative Cancer Therapy and Cancer Stem Cells Elimination.

Tumor starvation induced by intratumor glucose depletion emerges as a promising strategy for anticancer therapy. However, its antitumor potencies are severely compromised by intrinsic tumor hypoxia, low delivery efficiencies, and undesired off-target toxicity. Herein, a multifunctional cascade bioreactor (HCG), based on the self-assembly of pH-responsive hydroxyethyl starch prodrugs, copper ions, and glucose oxidase (GOD), is engineered, empowered by hyperbaric oxygen (HBO) for efficient cooperative therapy against aggressive breast cancers. Once internalized by tumor cells, HCG undergoes disassembly and releases cargoes in response to acidic tumor microenvironment. Subsequently, HBO activates GOD-catalyzed oxidation of glucose to H2 O2 and gluconic acid by ameliorating tumor hypoxia, fueling copper-catalyzed •OH generation and pH-responsive drug release. Meanwhile, HBO degrades dense tumor extracellular matrix, promoting tumor accumulation and penetration of HCG. Moreover, along with the consumption of glucose and the redox reaction of copper ions, the antioxidant capacity of tumor cells is markedly reduced, collectively boosting oxidative stress. As a result, the combination of HCG and HBO can not only remarkably suppress the growth of orthotopic breast tumors but also restrain pulmonary metastases by inhibiting cancer stem cells. Considering the clinical accessibility of HBO, this combined strategy holds significant translational potentials for GOD-based therapies.

Proteomic Profiling of Extracellular Matrix Components from Patient Metastases Identifies Consistently Elevated Proteins for Developing Nanobodies That Target Primary Tumors and Metastases.

Nanobodies specific for extracellular matrix markers commonly expressed in primary tumors and metastases are promising agents for noninvasive detection of tumors and metastases and potential tools for targeted therapy.

Vactosertib, TGF-β receptor I inhibitor, augments the sensitization of the anti-cancer activity of gemcitabine in pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) exhibits a pronounced extracellular matrix (ECM)-rich response, which is produced by an excessive amount of transforming growth factor β (TGF-β), resulting in tumor progression and metastasis. In addition, TGF-β signaling contributes to rapidly acquired resistance and incomplete response to gemcitabine. Recently, selective inhibitors of the TGF-β signaling pathway have shown promise in PDAC treatment, particularly as an option for augmenting responses to chemotherapy. Here, we investigated the synergistic anticancer effects of a small-molecule TGF-β receptor I kinase inhibitor (vactosertib/EW-7197) in the presence of gemcitabine, and its mechanism of action in pancreatic cancer. Vactosertib sensitized pancreatic cancer cells to gemcitabine by synergistically inhibiting their viability. Importantly, the combination of vactosertib and gemcitabine significantly attenuated the expression of major ECM components, including collagens, fibronectin, and α-SMA, in pancreatic cancer compared with gemcitabine alone. This resulted in potent induction of mitochondrial-mediated apoptosis, gemcitabine-mediated cytotoxicity, and inhibition of tumor ECM by vactosertib. Additionally, the combination decreased metastasis through inhibition of migration and invasion, and exhibited synergistic anti-cancer activity by inhibiting the TGF-β/Smad2 pathway in pancreatic cancer cells. Furthermore, co-treatment significantly suppressed tumor growth in orthotopic models. Therefore, our findings demonstrate that vactosertib synergistically increased the antitumor activity of gemcitabine via inhibition of ECM component production by inhibiting the TGF-β/Smad2 signaling pathway. This suggests that the combination of vactosertib and gemcitabine may be a potential treatment option for patients with pancreatic cancer.

Role of the tumor microenvironment in malignant melanoma organoids during the development and metastasis of tumors.

Malignant melanoma (MM) is the most metastatic and aggressive form of skin cancer, and carries a high risk of death. Immune-checkpoint inhibitor therapy and molecular-targeted therapy can prolong the survival of patients with advanced MM significantly. However, the low response rate and inevitable drug resistance prevent further improvements in efficacy, which is closely related to the tumor microenvironment (TME). The TME refers to the tumor stroma, including fibroblasts, keratinocytes, immune cells, soluble molecules, and extracellular matrix (ECM). The dynamic interaction between the TME and tumor cells is very important for the growth, local invasion, and metastatic spread of tumor cells. A patient-derived organoid (PDO) model involves isolation of tumor tissue from patients with MM and culturing it in vitro in a three-dimensional pattern. Compared with traditional cultivation methods, the PDO model preserves the heterogeneity of the tissue structure of MM and demonstrates the interaction between MM cells and the TME. It can reproduce the characteristics of proliferation, migration, and invasion of MM cells, and better simulate the structural function of MM in vivo. This review explores the role of each TME component in development of the PDO model. This review will provide a reference for research on the drug screening and targeted treatment using PDOs, particularly for the immunotherapy of MM.

Endothelium and Subendothelial Matrix Mechanics Modulate Cancer Cell Transendothelial Migration.

Cancer cell extravasation, a key step in the metastatic cascade, involves cancer cell arrest on the endothelium, transendothelial migration (TEM), followed by the invasion into the subendothelial extracellular matrix (ECM) of distant tissues. While cancer research has mostly focused on the biomechanical interactions between tumor cells (TCs) and ECM, particularly at the primary tumor site, very little is known about the mechanical properties of endothelial cells and the subendothelial ECM and how they contribute to the extravasation process. Here, an integrated experimental and theoretical framework is developed to investigate the mechanical crosstalk between TCs, endothelium and subendothelial ECM during in vitro cancer cell extravasation. It is found that cancer cell actin-rich protrusions generate complex push-pull forces to initiate and drive TEM, while transmigration success also relies on the forces generated by the endothelium. Consequently,mechanical properties of the subendothelial ECM and endothelial actomyosin contractility that mediate the endothelial forces also impact the endothelium's resistance to cancer cell transmigration. These results indicate that mechanical features of distant tissues, including force interactions between the endothelium and the subendothelial ECM, are key determinants of metastatic organotropism.