Extracellular matrix remodeling in the tumor immunity

Role of liposomes in chemoimmunotherapy of breast cancer

In the dynamic arena of cancer therapeutics, chemoimmunotherapy has shown tremendous promise, especially for aggressive forms of breast cancer like triple-negative breast cancer (TNBC). This review delves into the significant role of liposomes in enhancing the effectiveness of chemoimmunotherapy by leveraging breast cancer-specific mechanisms such as the induction of immunogenic cell death (ICD), reprogramming the tumour microenvironment (TME), and enabling sequential drug release. We examine innovative dual-targeting liposomes that capitalise on tumour heterogeneity, as well as pH-sensitive formulations that offer improved control over drug delivery. Unlike prior analyses, this review directly links advancements in preclinical research-such as PAMAM dendrimer-based nanoplatforms and RGD-decorated liposomes-to clinical trial results, highlighting their potential to revolutionise TNBC treatment strategies. Additionally, we address ongoing challenges related to scalability, toxicity, and regulatory compliance, and propose future directions for personalised, immune-focused nanomedicine. This work not only synthesises the latest research but also offers a framework for translating liposomal chemoimmunotherapy from laboratory research to clinical practice.

Navigating the tumor landscape: VEGF, MicroRNAs, and the future of cancer treatment

Cancer progression is a multifaceted process influenced by complex interactions within the tumor microenvironment (TME). Central to these dynamics are Vascular Endothelial Growth Factor (VEGF) signalling and microRNA (miRNA) modulation, both of which play critical roles in tumor growth and angiogenesis. VEGF is essential for promoting blood vessel formation; however, its splice variant, VEGF165b, acts as an anti-angiogenic factor, presenting a paradox challenging conventional cancer therapies. Meanwhile, miRNAs regulate gene expression that significantly impacts tumor behaviour by targeting various mRNAs involved in signalling pathways. The interplay between VEGF and miRNAs opens new avenues for targeted therapies designed to disrupt the networks supporting tumor growth. Additionally, the concept of exploiting the unique properties of VEGF splice variants is being explored to develop novel treatments that enhance anti-angiogenic effects while minimizing side effects. Understanding this is crucial for advancing personalized therapies that can effectively address the challenges posed by tumor adaptability and resistance mechanisms.

Potential therapeutic applications of medical gases in cancer treatment

Medical gases were primarily used for respiratory therapy and anesthesia, which showed promising potential in the cancer therapy. Several physiological and pathological processes were affected by the key gases, such as oxygen, carbon dioxide, nitric oxide, hydrogen sulfide, and carbon monoxide. Oxygen targets shrinking the tumor via hyperbaric oxygen therapy, and once combined with radiation therapy it enhances its effect. Nitric oxide has both anti- and pro-tumor effects depending on its level; at high doses, it triggers cell death while at low doses it supports cancer growth. The same concept is applied to hydrogen sulfide which promotes cancer growth by enhancing mitochondrial bioenergetics and supporting angiogenesis at low concentrations, while at high concentrations it induces cancer cell death while sparing normal cells. Furthermore, carbon dioxide helps induce apoptosis and improve oxygenation for cancer treatments by increasing the release of oxygen from hemoglobin. Moreover, high-dose carbon monoxide gas therapy has demonstrated significant tumor reductions in vivo and is supported by nanomedicine and specialized medicines to boost its delivery to tumor cells and the availability of hydrogen peroxide. Despite the promising potentials of these gases, several challenges remain. Gas concentrations should be regulated to balance pro-tumor and anti-tumor effects for gases such as nitric oxide and hydrogen sulfide. Furthermore, effective delivery systems, such as nanoparticles, should be developed for targeted therapy.

Extracellular matrix: unlocking new avenues in cancer treatment

The extracellular matrix (ECM) plays a critical role in cancer progression by influencing tumor growth, invasion, and metastasis. This review explores the emerging therapeutic strategies that target the ECM as a novel approach in cancer treatment. By disrupting the structural and biochemical interactions within the tumor microenvironment, ECM-targeted therapies aim to inhibit cancer progression and overcome therapeutic resistance. We examine the current state of ECM research, focusing on key components such as collagen, laminin, fibronectin, periostin, and hyaluronic acid, and their roles in tumor biology. Additionally, we discuss the challenges associated with ECM-targeted therapies, including drug delivery, specificity, and potential side effects, while highlighting recent advancements and future directions. This review underscores the potential of ECM-focused strategies to enhance the efficacy of existing treatments and contribute to more effective cancer therapies.

Development and validation of a risk model for effective immune and stromal related signature predicting prognosis of patients with ovarian cancer

The tumor microenvironment (TME) plays a critical role in ovarian cancer (OC) progression, yet the relationship between immune and stromal scores within the TME and prognostic outcomes remains poorly understood. Immune and stromal cell scores were computed using the "estimate" R package, which enabled the assessment of immune and stromal components in OC samples. We then performed univariate and multivariate Cox regression analyses to identify prognostic factors associated with these scores using data from The Cancer Genome Atlas (TCGA). Additionally, LASSO Cox regression were employed to identify key prognostic genes linked to immune infiltration. Our analysis of OC expression data identified 1,667 differentially expressed genes (DEGs) associated with immune and stromal scores. From these, we developed a 6-gene risk model, consisting of ALOX5AP, FCGR1C, GBP2, IL21R, KLRB1, and PIK3CG, which effectively stratified OC patients into high-risk and low-risk groups. Survival analysis and area under the curve (AUC) assessment confirmed the model's strong predictive accuracy. Furthermore, drug sensitivity predictions indicated that sorafenib was particularly effective in high-risk patients, with this finding validated through in vitro experiments. The 6-gene TME-related risk model offers robust prognostic capabilities for OC and could serve as a valuable tool for clinical stratification and personalized treatment approaches.

P4HA1 is highly expressed in gastric cancer and promotes proliferation and metastasis of gastric cancer cells

BACKGROUND

Gastric cancer (GC), a prevalent aggressive form of tumor, imposes a significant burden in terms of morbidity and mortality. Prolyl 4-hydroxylase, alpha polypeptide I (P4HA1), a key enzyme in collagen synthesis, comprises two identical alpha subunits and two beta subunits. Studies on the expression and impact of P4HA1 in GC cells are limited.

METHODS

The expression and prognosis of P4HA1 in GC were analyzed using bioinformatics. To confirm the P4HA1 level in GC tissues and cells, Western blot (WB) and RT-qPCR experiments were conducted. The signaling pathways related to P4HA1 in GC were examined using the DAVID database. Moreover, the expression of P4HA1 was downregulated by transfecting GC cell lines (HGC-27 and SGC-7901) with siRNA technology. Furthermore, GC proliferation, migration, and invasion were detected via plate cloning, CCK-8, and Transwell assays. The epithelial-mesenchymal transition (EMT) genes (E-cadherin, N-cadherin, Vimentin) and the stemness marker CD44 protein expression in GC cells were detected using WB. The sphere-forming ability of GC cells was analyzed using a sphere-forming assay to determine the effect of P4HA1.

RESULTS

Bioinformatics and experimental analyses demonstrated that P4HA1 expression was extensively detected in GC tissues and cells, and strongly related to a poor prognosis for GC. In vitro studies demonstrated that P4HA1 suppression hindered the proliferation, migration, and invasion of GC cells and suppressed EMT characteristics. Both sphere-forming and WB assays revealed that the sphere-forming potential of GC cells and the level of CD44 protein decreased after knocking down the expression of P4HA1, indicating that suppression of P4HA1 could inhibit the stemness of GC cells.

CONCLUSION

The study concluded that P4HA1 has the potential to be expressed substantially in GC tissues and cells and is capable of enhancing the proliferation, metastasis, and stemness of GC.

Integrative Bioinformatic Analysis of Cellular Senescence Genes in Ovarian Cancer: Molecular Subtyping, Prognostic Risk Stratification, and Chemoresistance Prediction

Background: Ovarian cancer (OC) is a heterogeneous malignancy associated with a poor prognosis, necessitating robust biomarkers for risk stratification and therapy optimization. Cellular senescence-related genes (CSGs) are emerging as pivotal regulators of tumorigenesis and immune modulation, yet their prognostic and therapeutic implications in OC remain underexplored. Methods: We integrated RNA-sequencing data from TCGA-OV (n = 376), GTEx (n = 88), and GSE26712 (n = 185) to identify differentially expressed CSGs (DE-CSGs). Consensus clustering, Cox regression, LASSO-penalized modeling, and immune infiltration analyses were employed to define molecular subtypes, construct a prognostic risk score, and characterize tumor microenvironment (TME) dynamics. Drug sensitivity was evaluated using the Genomics of Drug Sensitivity in Cancer (GDSC)-derived chemotherapeutic response profiles. Results: Among 265 DE-CSGs, 31 were prognostic in OC, with frequent copy number variations (CNVs) in genes such as STAT1, FOXO1, and CCND1. Consensus clustering revealed two subtypes (C1/C2): C2 exhibited immune-rich TME, elevated checkpoint expression (PD-L1, CTLA4), and poorer survival. A 19-gene risk model stratified patients into high-/low-risk groups, validated in GSE26712 (AUC: 0.586-0.713). High-risk patients showed lower tumor mutation burden (TMB), immune dysfunction, and resistance to Docetaxel/Olaparib. Six hub genes (HMGB3, MITF, CKAP2, ME1, CTSD, STAT1) were independently predictive of survival. Conclusions: This study establishes CSGs as critical determinants of OC prognosis and immune evasion. The molecular subtypes and risk model provide actionable insights for personalized therapy, while identified therapeutic vulnerabilities highlight opportunities to overcome chemoresistance through senescence-targeted strategies.

Key immune cells and their crosstalk in the tumor microenvironment of bladder cancer: insights for innovative therapies

Bladder cancer (BC) is a heterogeneous disease associated with high mortality if not diagnosed early. BC is classified into non-muscle-invasive BC (NMIBC) and muscle-invasive BC (MIBC), with MIBC linked to poor systemic therapy response and high recurrence rates. Current treatments include transurethral resection with Bacillus Calmette-Guérin (BCG) therapy for NMIBC and radical cystectomy with chemotherapy and/or immunotherapy for MIBC. The tumor microenvironment (TME) plays a critical role in cancer progression, metastasis, and therapeutic efficacy. A comprehensive understanding of the TME's complex interactions holds substantial translational significance for developing innovative treatments. The TME can contribute to therapeutic resistance, particularly in immune checkpoint inhibitor (ICI) therapies, where resistance arises from tumor-intrinsic changes or extrinsic TME factors. Recent advancements in immunotherapy highlight the importance of translational research to address these challenges. Strategies to overcome resistance focus on remodeling the TME to transform immunologically "cold" tumors, which lack immune cell infiltration, into "hot" tumors that respond better to immunotherapy. These strategies involve disrupting cancer-microenvironment interactions, inhibiting angiogenesis, and modulating immune components to enhance anti-tumor responses. Key mechanisms include cytokine involvement [e.g., interleukin-6 (IL-6)], phenotypic alterations in macrophages and natural killer (NK) cells, and the plasticity of cancer-associated fibroblasts (CAFs). Identifying potential therapeutic targets within the TME can improve outcomes for MIBC patients. This review emphasizes the TME's complexity and its impact on guiding novel therapeutic approaches, offering hope for better survival in MIBC.

ETS-1 in tumor immunology: implications for novel anti-cancer strategies

ETS-1, a key member of the Erythroblast Transformation-Specific (ETS) transcription factor family, plays an important role in cell biology and medical research due to its wide expression profile and strong transcriptional regulation ability. It regulates fundamental biological processes, including cell proliferation, differentiation, and apoptosis, and is involved in tumorigenesis and metastasis, promoting malignant behaviors such as angiogenesis, matrix degradation, and cell migration. Given the association between ETS-1 overexpression and the aggressive characteristics of multiple malignancies, it represents a promising therapeutic target in cancer treatment. This study aims to systematically analyze the role of ETS-1 within the tumor immune microenvironment, elucidating its mechanisms in cancer initiation, progression, and metastasis. It also investigates the differential expression of ETS-1 across tumor tissues and adjacent normal tissues, exploring its potential as a molecular marker for tumor diagnosis and prognosis.

Enhancing therapeutic efficacy through degradation of endogenous extracellular matrix in primary breast tumor spheroids

Solid tumors have a complex extracellular matrix (ECM) that significantly affects tumor behavior and response to therapy. Understanding the ECM's role is crucial for advancing cancer research and treatment. This study established an in vitro model using primary cells isolated from a rat breast tumor to generate three-dimensional spheroids. Monolayer cells and spheroid cultures exhibited different protein expression patterns, with primary tumor spheroids presenting an increased level of ECM-related proteins and a more complex extracellular environment. Furthermore, spheroids produce endogenous collagen type I matrix, which is the main component of the tumoral ECM. This matrix is arranged predominantly around the 3D structure, mimicking the conditions of solid tumors. Treatments with recombinant collagenases class II (acting on the linear collagen region) and class I (acting on the 3D-helix region) completely degrade collagen within the spheroid structure. Collagenase pretreatment enhances the accessibility of the anticancer drug doxorubicin to penetrate the core of spheroids and sensitize them to doxorubicin-induced cytotoxicity. Our findings highlight the importance of overcoming drug resistance in breast cancer by targeting the ECM and proposing a novel strategy for improving therapeutic outcomes in solid tumors. By employing a three-dimensional spheroid model, with an endogenous ECM, we can offer more relevant insights into tumor biology and treatment responses.

Integrative bioinformatics analysis of high-throughput sequencing and in vitro functional analysis leads to uncovering key hub genes in esophageal squamous cell carcinoma

BACKGROUND

Esophageal squamous cell carcinoma (ESCA) is a type of cancer that starts in the cells lining the esophagus, the tube connecting the throat to the stomach. It is known for its aggressive nature and poor prognosis. Understanding the key factors that drive this cancer is crucial for developing better diagnostic tools and treatments.

METHODS

Gene expression profiles of ESCA were analyzed using Gene Expression Omnibus (GEO) datasets (GSE23400, GSE29001, GSE92396, and GSE1420) from the GEO database. Differentially expressed genes (DEGs) were identified using the limma package, and a protein-protein interaction (PPI) network was constructed using the STRING database. Hub genes were identified based on the degree method. Further validation was performed through reverse transcription quantitative PCR (RT-qPCR), mutational and copy number variation (CNV) analysis via the cBioPortal database, promoter methylation analysis using the OncoDB and GSCA databases, survival analysis, immune infiltration analysis through the GSCA database, and functional assays, including knockdown of key genes.

RESULTS

We identified four key hub genes, COL3A1, COL4A1, COL5A2, and CXCL8 that play significant roles in ESCA. These genes were highly expressed in ESCA tissues and cell lines, with expression levels significantly (p-value < 0.001) elevated compared to normal controls. Receiver operating characteristic (ROC) curve analysis revealed exceptional diagnostic performance for all four genes, with area under the curve (AUC) values of 1.0, indicating perfect sensitivity and specificity in distinguishing ESCA from normal controls. Mutational analysis revealed that COL3A1 was altered in 67% of ESCA samples, primarily through missense mutations, while COL5A2 exhibited alterations in 50% of the samples, including splice site and missense mutations. Additionally, gene amplification patterns were observed in all four hub genes, further validating their oncogenic potential in ESCA progression. A significant (p-value < 0.05) promoter hypomethylation was detected in these genes, suggesting a potential regulatory role in their expression. Functional assays demonstrated that knocking down COL3A1 and COL4A1 led to decreased cell proliferation, colony formation, and migration, indicating their critical roles in tumor progression. Additionally, these genes were involved in pathways related to the extracellular matrix and immune system modulation.

CONCLUSION

COL3A1, COL4A1, COL5A2, and CXCL8 are crucial in ESCA development and progression, particularly in remodeling the extracellular matrix, modulating the immune system, and promoting metastasis. These findings suggest that these genes could serve as potential biomarkers for diagnosing ESCA and targets for future therapies. Future research should focus on in vivo validation of these findings and clinical testing to assess the therapeutic potential of targeting these genes in ESCA treatment.

Macrophage-derived lncRNAs in cancer: regulators of tumor progression and therapeutic targets

Macrophages are key tumor microenvironment (TME) regulators, exhibiting remarkable plasticity that enables them to either suppress or promote cancer progression. Emerging evidence highlights the critical role of macrophage-derived long non-coding RNAs (lncRNAs) in shaping tumor immunity, influencing macrophage polarization, immune evasion, angiogenesis, metastasis, and therapy resistance. This review comprehensively elucidates the functional roles of M1- and M2-associated lncRNAs, detailing their molecular mechanisms and impact on cancer pathogenesis. In summary, elucidating the roles of lncRNAs derived from macrophages in cancer progression offers new avenues for therapeutic strategies, significantly improving patient outcomes in the fight against the disease. Further research into the functional significance of these lncRNAs and the development of targeted therapies is essential to harness their potential fully in clinical applications. We further explore their potential as biomarkers for cancer prognosis and therapeutic targets for modulating macrophage activity to enhance anti-cancer immunity. Targeting macrophage-derived lncRNAs represents a promising avenue for precision oncology, offering novel strategies to reshape the TME and improve cancer treatment outcomes.

Comprehensive pan-cancer analysis of LAMA3: implications for prognosis and immunotherapy

OBJECTIVES

Laminin subunit alpha 3 (LAMA3) has been implicated in various cellular processes relevant to cancer progression, including cell proliferation, migration, and adhesion. In this study, we explored the expression, prognostic significance, and functional role of LAMA3 across multiple cancer types.

METHODOLOGY

The in silico analyses involve using various bioinformatics tools and databases, such as The Cancer Genome Atlas (TCGA), TIMER2.0, GEPIA2, UALCAN, Kaplan-Meier (KM) plotter, GENT2, Human Protein Atlas (HPA), OncoDB, Gene Set Cancer Analysis (GSCA), and TISIDB. The in vitro analyses include cell culture, gene knockdown, and assays for cell proliferation, colony formation, and wound healing.

RESULTS

Pan-cancer analysis revealed significant variations in LAMA3 expression, with upregulation observed in cancers such as pancreatic adenocarcinoma (PAAD) and stomach adenocarcinoma (STAD), and downregulation in breast cancer (BRCA) and colon adenocarcinoma (COAD). Prognostic analyses indicated high LAMA3 expression correlated with poor overall survival (OS) in PAAD and STAD, whereas low expression was associated with adverse outcomes in BRCA. Validation analysis confirmed differential expression and localized LAMA3 primarily to the endoplasmic reticulum. Analysis of clinical features in BRCA, PAAD, and STAD showed consistent expression trends across different stages, races, and age groups. Additionally, mutational and copy number variations (CNVs) analyses revealed prevalent heterozygous amplifications and deletions in LAMA3 across BRCA, PAAD, and STAD. Promoter methylation was inversely correlated with LAMA3 expression in BRCA, PAAD, and STAD, although survival outcomes were unaffected. Protein-protein interaction (PPI) and gene enrichment analyses indicated LAMA3's involvement in ECM-receptor interactions and PI3K-Akt signaling, pathways critical in cancer. Finally, functional assays following LAMA3 knockdown in HT-29 cells demonstrated reduced cell proliferation, colony formation, and wound healing, implicating LAMA3 in tumor growth and metastasis.

CONCLUSION

Overall, these findings suggest that LAMA3 plays a multifaceted role in tumorigenesis and holds potential as a prognostic biomarker and therapeutic target in multiple cancers.

Tumor secretome shapes the immune landscape during cancer progression

The focus of cancer immunotherapy has traditionally been on immune cells and tumor cells themselves, often overlooking the tumor secretome. This review provides a comprehensive overview of the intricate relationship between tumor cells and the immune response in cancer progression. It highlights the pivotal role of the tumor secretome - a diverse set of molecules secreted by tumor cells - in significantly influencing immune modulation, promoting immunosuppression, and facilitating tumor survival. In addition to elucidating these complex interactions, this review discusses current clinical trials targeting the tumor secretome and highlights their potential to advance personalized medicine strategies. These trials aim to overcome the challenges of the tumor microenvironment by designing therapies tailored to the secretome profiles of individual cancer patients. In addition, advances in proteomic techniques are highlighted as essential tools for unraveling the complexity of the tumor secretome, paving the way for improved cancer treatment outcomes.

Harnessing the tumor microenvironment: targeted cancer therapies through modulation of epithelial-mesenchymal transition

The tumor microenvironment (TME) is integral to cancer progression, impacting metastasis and treatment response. It consists of diverse cell types, extracellular matrix components, and signaling molecules that interact to promote tumor growth and therapeutic resistance. Elucidating the intricate interactions between cancer cells and the TME is crucial in understanding cancer progression and therapeutic challenges. A critical process induced by TME signaling is the epithelial-mesenchymal transition (EMT), wherein epithelial cells acquire mesenchymal traits, which enhance their motility and invasiveness and promote metastasis and cancer progression. By targeting various components of the TME, novel investigational strategies aim to disrupt the TME's contribution to the EMT, thereby improving treatment efficacy, addressing therapeutic resistance, and offering a nuanced approach to cancer therapy. This review scrutinizes the key players in the TME and the TME's contribution to the EMT, emphasizing avenues to therapeutically disrupt the interactions between the various TME components. Moreover, the article discusses the TME's implications for resistance mechanisms and highlights the current therapeutic strategies toward TME modulation along with potential caveats.

Visualizing the Tumor Microenvironment: Molecular Imaging Probes Target Extracellular Matrix, Vascular Networks, and Immunosuppressive Cells

The tumor microenvironment (TME) is a critical factor in cancer progression, driving tumor growth, immune evasion, therapeutic resistance, and metastasis. Understanding the dynamic interactions within the TME is essential for advancing cancer management. Molecular imaging provides a non-invasive, real-time, and longitudinal approach to studying the TME, with techniques such as positron emission tomography (PET), magnetic resonance imaging (MRI), and fluorescence imaging offering complementary strengths, including high sensitivity, spatial resolution, and intraoperative precision. Recent advances in imaging probe development have enhanced the ability to target and monitor specific components of the TME, facilitating early cancer diagnosis, therapeutic monitoring, and deeper insights into tumor biology. By integrating these innovations, molecular imaging offers transformative potential for precision oncology, improving diagnostic accuracy and treatment outcomes through a comprehensive assessment of TME dynamics.

Advances in tumor stroma-based targeted delivery

The tumor stroma plays a crucial role in tumor progression, and the interactions between the extracellular matrix, tumor cells, and stromal cells collectively influence tumor progression and the efficacy of therapeutic agents. Currently, utilizing components of the tumor stroma for drug delivery is a noteworthy strategy. A number of targeted drug delivery systems designed based on tumor stromal components are entering clinical trials. Therefore, this paper provides a thorough examination of the function of tumor stroma in the advancement of targeted drug delivery systems. One approach is to use tumor stromal components for targeted drug delivery, which includes certain stromal components possessing inherent targeting capabilities like HA, laminin, along with targeting stromal cells homologously. Another method entails directly focusing on tumor stromal components to reshape the tumor stroma and facilitate drug delivery. These drug delivery systems exhibit great potential in more effective cancer therapy strategies, such as precise targeting, enhanced penetration, improved safety profile, and biocompatibility. Ultimately, the deployment of these drug delivery systems can deepen our comprehension of tumor stroma and the advanced development of corresponding drug delivery systems.

Subverting Attachment to Prevent Attacking: Alteration of Effector Immune Cell Migration and Adhesion as a Key Mechanism of Tumor Immune Evasion

Cell adhesion regulates specific migratory patterns, location, communication with other cells, physical interactions with the extracellular matrix, and the establishment of effector programs. Proper immune control of cancer strongly depends on all these events occurring in a highly accurate spatiotemporal sequence. In response to cancer-associated inflammatory signals, effector immune cells navigating the bloodstream shift from their patrolling exploratory migration mode to establish adhesive interactions with vascular endothelial cells. This interaction enables them to extravasate through the blood vessel walls and access the cancer site. Further adhesive interactions within the tumor microenvironment (TME) are crucial for coordinating their distribution in situ and for mounting an effective anti-tumor immune response. In this review, we examine how alterations of adhesion cues in the tumor context favor tumor escape by affecting effector immune cell infiltration and trafficking within the TME. We discuss the mechanisms by which tumors directly modulate immune cell adhesion and migration patterns to affect anti-tumor immunity and favor tumor evasion. We also explore indirect immune escape mechanisms that involve modifications of TME characteristics, such as vascularization, immunogenicity, and structural topography. Finally, we highlight the significance of these aspects in designing more effective drug treatments and cellular immunotherapies.

3D cell culture models in research: applications to lung cancer pharmacology

Lung cancer remains one of the leading causes of cancer-related mortality worldwide, necessitating innovative research methodologies to improve treatment outcomes and develop novel strategies. The advent of three-dimensional (3D) cell cultures has marked a significant advancement in lung cancer research, offering a more physiologically relevant model compared to traditional two-dimensional (2D) cultures. This review elucidates the various types of 3D cell culture models currently used in lung cancer pharmacology, including spheroids, organoids and engineered tissue models, having pivotal roles in enhancing our understanding of lung cancer biology, facilitating drug development, and advancing precision medicine. 3D cell culture systems mimic the complex spatial architecture and microenvironment of lung tumours, providing critical insights into the cellular and molecular mechanisms of tumour progression, metastasis and drug responses. Spheroids, derived from commercialized cell lines, effectively model the tumour microenvironment (TME), including the formation of hypoxic and nutrient gradients, crucial for evaluating the penetration and efficacy of anti-cancer therapeutics. Organoids and tumouroids, derived from primary tissues, recapitulate the heterogeneity of lung cancers and are instrumental in personalized medicine approaches, supporting the simulation of in vivo pharmacological responses in a patient-specific context. Moreover, these models have been co-cultured with various cell types and biomimicry extracellular matrix (ECM) components to further recapitulate the heterotypic cell-cell and cell-ECM interactions present within the lung TME. 3D cultures have been significantly contributing to the identification of novel therapeutic targets and the understanding of resistance mechanisms against conventional therapies. Therefore, this review summarizes the latest findings in drug research involving lung cancer 3D models, together with the common laboratory-based assays used to study drug effects. Additionally, the integration of 3D cell cultures into lung cancer drug development workflows and precision medicine is discussed. This integration is pivotal in accelerating the translation of laboratory findings into clinical applications, thereby advancing the landscape of lung cancer treatment. By closely mirroring human lung tumours, these models not only enhance our understanding of the disease but also pave the way for the development of more effective and personalized therapeutic strategies.

Pancreatic stellate cells and the interleukin family: Linking fibrosis and immunity to pancreatic ductal adenocarcinoma (Review)

Pancreatic ductal adenocarcinoma (PDAC) is an extremely aggressive form of cancer with a low survival rate. A successful treatment strategy should not be limited to targeting cancer cells alone, but should adopt a more comprehensive approach, taking into account other influential factors. These include the extracellular matrix (ECM) and immune microenvironment, both of which are integral components of the tumor microenvironment. The present review describes the roles of pancreatic stellate cells, differentiated cancer‑associated fibroblasts and the interleukin family, either independently or in combination, in the progression of precursor lesions in pancreatic intraepithelial neoplasia and PDAC. These elements contribute to ECM deposition and immunosuppression in PDAC. Therapeutic strategies that integrate interleukin and/or stromal blockade for PDAC immunomodulation and fibrogenesis have yielded inconsistent results. A deeper comprehension of the intricate interplay between fibrosis, and immune responses could pave the way for more effective treatment targets, by elucidating the mechanisms and causes of ECM fibrosis during PDAC progression.

The importance of 3D fibre architecture in cancer and implications for biomaterial model design

The need for improved prediction of clinical response is driving the development of cancer models with enhanced physiological relevance. A new concept of 'precision biomaterials' is emerging, encompassing patient-mimetic biomaterial models that seek to accurately detect, treat and model cancer by faithfully recapitulating key microenvironmental characteristics. Despite recent advances allowing tissue-mimetic stiffness and molecular composition to be replicated in vitro, approaches for reproducing the 3D fibre architectures found in tumour extracellular matrix (ECM) remain relatively unexplored. Although the precise influences of patient-specific fibre architecture are unclear, we summarize the known roles of tumour fibre architecture, underlining their implications in cell-matrix interactions and ultimately clinical outcome. We then explore the challenges in reproducing tissue-specific 3D fibre architecture(s) in vitro, highlighting relevant biomaterial fabrication techniques and their benefits and limitations. Finally, we discuss imaging and image analysis techniques (focussing on collagen I-optimized approaches) that could hold the key to mapping tumour-specific ECM into high-fidelity biomaterial models. We anticipate that an interdisciplinary approach, combining materials science, cancer research and image analysis, will elucidate the role of 3D fibre architecture in tumour development, leading to the next generation of patient-mimetic models for mechanistic studies and drug discovery.

Biomimetic Hydrogel Strategies for Cancer Therapy

Recent developments in biomimetic hydrogel research have expanded the scope of biomedical technologies that can be used to model, diagnose, and treat a wide range of medical conditions. Cancer presents one of the most intractable challenges in this arena due to the surreptitious mechanisms that it employs to evade detection and treatment. In order to address these challenges, biomimetic design principles can be adapted to beat cancer at its own game. Biomimetic design strategies are inspired by natural biological systems and offer promising opportunities for developing life-changing methods to model, detect, diagnose, treat, and cure various types of static and metastatic cancers. In particular, focusing on the cellular and subcellular phenomena that serve as fundamental drivers for the peculiar behavioral traits of cancer can provide rich insights into eradicating cancer in all of its manifestations. This review highlights promising developments in biomimetic nanocomposite hydrogels that contribute to cancer therapies via enhanced drug delivery strategies and modeling cancer mechanobiology phenomena in relation to metastasis and synergistic sensing systems. Creative efforts to amplify biomimetic design research to advance the development of more effective cancer therapies will be discussed in alignment with international collaborative goals to cure cancer.

Tenascin-C targeting strategies in cancer

Tenascin-C (TNC) is a matricellular and multimodular glycoprotein highly expressed under pathological conditions, especially in cancer and chronic inflammatory diseases. Since a long time TNC is considered as a promising target for diagnostic and therapeutic approaches in anti-cancer treatments and was already extensively targeted in clinical trials on cancer patients. This review provides an overview of the current most advanced strategies used for TNC detection and anti-TNC theranostic approaches including some advanced clinical strategies. We also discuss novel treatment protocols, where targeting immune modulating functions of TNC could be center stage.

Crosstalk between T lymphocyte and extracellular matrix in tumor microenvironment

The extracellular matrix (ECM) is a complex three-dimensional structure composed of proteins, glycans, and proteoglycans, constituting a critical component of the tumor microenvironment. Complex interactions among immune cells, extracellular matrix, and tumor cells promote tumor development and metastasis, consequently influencing therapeutic efficacy. Hence, elucidating these interaction mechanisms is pivotal for precision cancer therapy. T lymphocytes are an important component of the immune system, exerting direct anti-tumor effects by attacking tumor cells or releasing lymphokines to enhance immune effects. The ECM significantly influences T cells function and infiltration within the tumor microenvironment, thereby impacting the behavior and biological characteristics of tumor cells. T cells are involved in regulating the synthesis, degradation, and remodeling of the extracellular matrix through the secretion of cytokines and enzymes. As a result, it affects the proliferation and invasive ability of tumor cells as well as the efficacy of immunotherapy. This review discusses the mechanisms underlying T lymphocyte-ECM interactions in the tumor immune microenvironment and their potential application in immunotherapy. It provides novel insights for the development of innovative tumor therapeutic strategies and drug.