Interaction Of Tumor Cells Research Articles

A Versatile Microfluidic Device System that Lacks a Synthetic Extracellular Matrix Recapitulates the Blood-Brain Barrier and Dynamic Tumor Cell Interaction.

Microfluidic systems offer controlled microenvironments for cell-to-cell and cell-to-stroma interactions, which have precise physiological, biochemical, and mechanical features. The optimization of their conditions to best resemble tumor microenvironments constitutes an experimental modeling challenge, particularly regarding carcinogenesis in the central nervous system (CNS), given the specific features of the blood-brain barrier (BBB). Gel-free 3D microfluidic cell culture systems (gel-free 3D-mFCCSs), including features such as self-production of extracellular matrices, provide significant benefits, including promoting cell-cell communication, interaction, and cell polarity. The proposed microfluidic system consisted of a gel-free culture device inoculated with human brain microvascular endothelial cells (HBEC5i), glioblastoma multiforme cells (U87MG), and astrocytes (ScienCell 1800). The gel-free 3D-mFCCS showed a diffusion coefficient of 4.06 × 10-9 m2·s-1, and it reconstructed several features and functional properties that occur at the BBB, such as the vasculogenic ability of HBEC5i and the high duplication rate of U87MG. The optimized conditions of the gel-free 3D-mFCCS allowed for the determination of cellular proliferation, invasion, and migration, with evidence of both physical and biochemical cellular interactions, as well as the production of pro-inflammatory cytokines. In conclusion, the proposed gel-free 3D-mFCCSs represent a versatile and suitable alternative to microfluidic systems, replicating several features that occur within tumor microenvironments in the CNS. This research contributes to the characterization of microfluidic approaches and could lead to a better understanding of tumor biology and the eventual development of personalized therapies.

Multicellular ovarian cancer spheroids: novel 3D model to mimic tumour complexity

In vitro, spheroid models have become well established in cancer research because they can better mimic certain characteristics of in vivo tumours. However, interaction with the tumour microenvironment, such as cancer-associated fibroblasts, plays a key role in tumour progression. We initially focused on the interaction of tumour cells with fibroblasts. To model this interaction, we developed a spheroid model of ovarian cancer and fibroblasts. To this end, ovarian cancer cell lines and ex vivo primary cells were simultaneously and sequentially seeded with fibroblasts in a scaffold-free system at different ratios and subsequently characterized with respect to changes in morphology, proliferation, and viability. We demonstrated that co-cultures are able to form by far more compact spheroids, especially in cells that form aggregates in mono-culture. In addition, the co-cultures were able to increase proliferation and sensitivity to cisplatin. Simultaneous seeding led fibroblasts invade the core in both cell lines and primary cells. These results show differences in formation, firmness, and size between co-culture and mono-culture. Our model is designed to better represent and characterize the mutual influencing factors of fibroblasts and tumour cells. Fibroblast-supplemented multicellular spheroids are a valuable tool for tumour microenvironment interaction and new drug discovery.

Influence of hyaluronic acid and chitosan molecular weight on the adhesion of circulating tumor cell on multilayer films

CD44 is a cell receptor glycoprotein overexpressed in circulating tumor cells (CTCs), with levels linked to an increase in metastatic capacity of several tumors. Hyaluronic acid (HA), the natural ligand of CD44, has primarily been investigated for tumor cell interaction in self-assembled polyelectrolyte multilayer films, with little attention given to the complementary polycation. In this study, we screened sixteen different polyelectrolyte multilayer assemblies of HA and chitosan (CHI) to identify key assembly parameters and surface properties that control and govern CTCs adhesion. Statistics analysis revealed a major role of CHI molecular weight in the adhesion, followed by its combinatorial response either with HA ionization degree or ionic strength. PM-IRRAS analysis demonstrated a correlation between the orientation of HA carboxyl groups on the film surface and CTCs adhesion, directly impacted by CHI molecular weight. Overall, although CTCs binding onto the surface of multilayer films is primarily driven by HA-CD44 interaction, both chitosan properties and film assembly conditions modulate this interaction. These findings illustrate an alternative to modifying the performance of biomaterials with minimal changes in the composition of multilayer films.

The MCIB Model: A Novel Theory for Describing the Spatial Heterogeneity of the Tumor Microenvironment

The tumor microenvironment (TME) can be regarded as a complex and dynamic microecosystem generated by the interactions of tumor cells, interstitial cells, the extracellular matrix, and their products and plays an important role in the occurrence, progression and metastasis of tumors. In a previous study, we constructed an IEO model (prI-, prE-, and pOst-metastatic niche) according to the chronological sequence of TME development. In this paper, to fill the theoretical gap in spatial heterogeneity in the TME, we defined an MCIB model (Metabolic, Circulatory, Immune, and microBial microenvironment). The MCIB model divides the TME into four subtypes that interact with each other in terms of mechanism, corresponding to the four major links of metabolic reprogramming, vascular remodeling, immune response, and microbial action, providing a new way to assess the TME. The combination of the MCIB model and IEO model comprehensively depicts the spatiotemporal evolution of the TME and can provide a theoretical basis for the combination of clinical targeted therapy, immunotherapy, and other comprehensive treatment modalities for tumors according to the combination and crosstalk of different subtypes in the MCIB model and provide a powerful research paradigm for tumor drug-resistance mechanisms and tumor biological behavior.

MAPK/ERK signaling in gliomas modulates interferon responses, T cell recruitment, microglia phenotype, and immune checkpoint blockade efficacy.

Glioblastoma (GB) remains a formidable challenge in neuro-oncology, with immune checkpoint blockade (ICB) showing limited efficacy in unselected patients. We previously recently established that MAPK/ERK signaling is associated with overall survival following anti-PD-1 and anti-CTLA-4 treatment in recurrent GB. However, the causal relationship between MAPK/ERK signaling and susceptibility to ICB, as well as the mechanisms underlying this association, remain poorly understood. We conducted in vivo kinome-wide CRISPR/Cas9 screenings in murine gliomas to identify key regulators of susceptibility to anti-PD-1 and CD8+ T cell responses and performed survival studies to validate the most relevant genes. Additionally, paired single cell RNA-sequencing (scRNA-seq) with p-ERK staining, spatial transcriptomics on GB samples, and ex-vivo slice culture of a BRAFV600E mutant GB tumor treated with BRAFi/MEKi were used to determine the causal relationship between MAPK signaling, tumor cell immunogenicity, and modulation of microglia phenotype. CRISPR/Cas9 screens identified the MAPK pathway, particularly the RAF-MEK-ERK pathway, as the most critical modulator of glioma susceptibility to CD8+ T cells, and anti-PD-1 across all kinases. Experimentally-induced ERK phosphorylation in gliomas enhanced survival with ICB treatment, led to durable anti-tumoral immunity upon re-challenge and memory T cell infiltration in long-term survivors. Elevated p-ERK in glioma cells correlated with increased interferon responses, antigen presentation and T cell infiltration in GB. Moreover, spatial transcriptomics and scRNA-seq analysis revealed the modulation of interferon responses by the MAPK/ERK pathway in BRAFV600E human GB cells with ERK1/2 knockout and in slice cultures of human BRAFV600E GB tissue. Notably, BRAFi/MEKi treatment disrupted the interaction between tumor cells and tumor-associated macrophages/microglia in slice cultures from BRAFV600E mutant GB. Our data indicate that the MAPK/ERK pathway is a critical regulator of GB cell susceptibility to anti-tumoral immunity, modulating interferon responses, and antigen-presentation in glioma cells, as well as tumor cell interaction with microglia. These findings not only elucidate the mechanistic underpinnings of immunotherapy resistance in GB but also highlight the MAPK/ERK pathway as a promising target for enhancing immunotherapeutic efficacy in this challenging malignancy.

The complexity of immune evasion mechanisms throughout the metastatic cascade.

Metastasis, the spread of cancer from a primary site to distant organs, is an important challenge in oncology. This Review explores the complexities of immune escape mechanisms used throughout the metastatic cascade to promote tumor cell dissemination and affect organotropism. Specifically, we focus on adaptive plasticity of disseminated epithelial tumor cells to understand how they undergo phenotypic transitions to survive microenvironmental conditions encountered during metastasis. The interaction of tumor cells and their microenvironment is analyzed, highlighting the local and systemic effects that innate and adaptive immune systems have in shaping an immunosuppressive milieu to foster aggressive metastatic tumors. Effectively managing metastatic disease demands a multipronged approach to target the parallel and sequential mechanisms that suppress anti-tumor immunity. This management necessitates a deep understanding of the complex interplay between tumor cells, their microenvironment and immune responses that we provide with this Review.

Exploring the impact of microfluidic chip structure on the efficacy of three-dimensional tumor microspheres cultivation.

Three-dimensional (3D) tumor microspheres can simulate the interaction and growth dynamics of tumor cells, and have been used as a new in vitro model for drug screening and tumor biology related research. The scaffold-free culture of 3D tumor microspheres on microfluidic chips has many advantages, including low cost, high throughput, convenience and flexibility. However, it is still unclear how various factors, such as chip structure, influence the culture effect of tumor microspheres. The lack of standardized evaluation and characterization of the culture effect hinders the further optimization and development of chip function. This study presents numerical simulations of multiple parts or processes of the proposed 3D culture chips with two different structural parameters based on computational fluid dynamics (CFD) methods. An evaluation system for tumor microspheres was established. The prediction of the CFD simulation was consistent with the culture results of the chips, reflecting the important role of the structural parameters of the microtrap in the formation of uniform tumor microspheres. Furthermore, the velocity of cell suspension also had a significant impact on the retention of tumor cells. Additionally, the drug screening results of tumor microspheres indicated that tumor microspheres exhibit greater drug resistance, which may be attributed to their size. These results offer valuable insights into the factors that influence the characteristics of tumor microspheres. This research provides a reference and direction for the optimal design and functional evaluation of scaffold-free 3D culture chips, and holds promise for promoting the development of novel drug research platforms.

Abstract A055: Multiomics profiling reveals druggable tumor-stroma interactions in ATM-deficient pancreatic cancer

Abstract The complex biology of pancreatic ductal adenocarcinoma (PDAC) remains a significant challenge and limits overcoming its dismal prognosis. The tumor microenvironment (TME), shaped by dynamic interactions between cancer-associated fibroblasts (CAFs), immune and tumor cells, plays a crucial role in PDAC pathogenesis. Uncharted field lies in the impact of specific gene mutations within the tumor epithelium on orchestrating distinct oncogenic TME patterns. Our investigation into homologous recombination deficiency (HRD), caused by mutations in genes like ATM, reveals its role in promoting PDAC aggressiveness and triggering a pronounced desmoplastic reaction, suggesting a unique TME programing. Through single-cell-resolved and multiomics analyses of murine ATM and/or P53-depleted PDACs, and validation in human cases, we unveil transcriptional, translational, and secretory regulatory events, shed light on the intricate interplay between tumor genetics and PDAC microenvironment and pave the way for the elaboration of novel personalized therapies. Murine tumor analysis using single-nucleus multiomics RNA and ATAC sequencing, alongside histological validation in human tissues, revealed specific enrichment of myCAFs in ATM-deficient tumors and reduced populations of T cells and macrophages. Molecular signatures and cell-cell communication inference uncovered ATM-specific interactions within the TME, highlighting TGF-β signaling as pivotal in mediating dialog between CAFs and an aggressive EMT-like tumor cell subset prevalent in ATM-depleted tumors. Additionally, distinct communication patterns were observed between CAFs and immune cells, associated with specific epigenetic and molecular profiles. Mechanistically, transcriptomics, secretomics and proteomics investigations confirmed increased TGFβ release by ATM-deficient PDAC cells and identified a reactive oxygen species (ROS)-mediated mechanism affecting tumor cell behavior and interactions with CAFs. Consistently, a combinatorial therapy targeting TGF-β-mediated tumor-stroma dialog reversed cancer-promoting TME remodeling and exacerbated FOLFIRINOX cytotoxic effects, in vivo, exclusively in ATM-deficient HRD PDACs. Dissecting the biology of ATM-deficient HRD malignant cells, our study unveils their pivotal role in orchestrating oncogenic communication networks with CAFs and immune cells, along with specific tumor promoting stromal reprogramming. Our findings paint a comprehensive picture of how distinct tumor-stroma interactions reshape the TME, steering it towards a cancer-promoting outcome and shed light on the potential to exploit genotype-specific vulnerabilities via tailored tumor-stroma interference strategies. Citation Format: Elodie Roger, Hannah M. Mummey, Eleni Zimmer, Julia Ragg, Yuna Lee, Kyle J. Gaulton, Alica K. Beutel, Christopher J. Halbrook, Lukas Perkhofer, Johann Gout, Alexander Kleger. Multiomics profiling reveals druggable tumor-stroma interactions in ATM-deficient pancreatic cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr A055.

Fractionated photoimmunotherapy stimulates an anti-tumour immune response: an integrated mathematical and in vitro study

BackgroundAdvanced epithelial ovarian cancer (EOC) has high recurrence rates due to disseminated initial disease presentation. Cytotoxic phototherapies, such as photodynamic therapy (PDT) and photoimmunotherapy (PIT, cell-targeted PDT), have the potential to treat disseminated malignancies due to safe intraperitoneal delivery.MethodsWe use in vitro measurements of EOC tumour cell and T cell responses to chemotherapy, PDT, and epidermal growth factor receptor targeted PIT as inputs to a mathematical model of non-linear tumour and immune effector cell interaction. The model outputs were used to calculate how photoimmunotherapy could be utilised for tumour control.ResultsIn vitro measurements of PIT dose responses revealed that although low light doses (<10 J/cm2) lead to limited tumour cell killing they also increased proliferation of anti-tumour immune effector cells. Model simulations demonstrated that breaking up a larger light dose into multiple lower dose fractions (vis-à-vis fractionated radiotherapy) could be utilised to effect tumour control via stimulation of an anti-tumour immune response.ConclusionsThere is promise for applying fractionated PIT in the setting of EOC. However, recommending specific fractionated PIT dosimetry and timing will require appropriate model calibration on tumour-immune interaction data in human patients and subsequent validation of model predictions in prospective clinical trials.

Exploration of Key Genes Combining with Immune Infiltration Level andTumor Mutational Burden in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is a lethal malignancy due to its heterogeneity and aggressive behavior. Recently, somatic mutations and tumor cell interactions with the surrounding tumor immune microenvironment (TIME) have been reported to participate in HCC carcinogenesis and predict HCC progression. In this study, we aimed to investigate the association between tumor mutational burden (TMB) and TIME in HCC. Additionally, we sought to identify differentially expressed genes (DEGs) associated with HCC prognosis and progression. The expression, clinical, and mutational data were downloaded from the cancer genome atlas (TCGA) database. The immune infiltration levels and TMB levels of the HCC samples were estimated and the samples were divided into immune cluster (ICR)-1 and 2 based on immune infiltration score and high and low TMB groups based on TMB score. Thereafter, differential gene expression analysis was conducted to identify the DEGs in the ICR1/2 and high/low TMB groups, and the intersecting DEGs were selected. Thereafter, Cox regression analysis was performed on 89 significant DEGs, among which 19 were associated with prognosis. These 19 DEGs were then used to construct a prognostic model based on their expression levels and regression coefficients. Thereafter, we analyzed the DEGs in mutant and wildtype TP53 HCC samples and identified high BCL10 and TRAF3 expression in the mutant TP53 samples. BCL10 and TRAF3 expression was detected by real-time quantitative reverse transcription PCR and immunohistochemistry, and their clinical correlation, biological function, and immune infiltration levels were analyzed by chi-square analyses, Gene Set Enrichment Analysis (GSEA), and "ssGSEA", respectively. The results of our study revealed that immune infiltration level was correlated with TMB and that they synergistically predicted poor prognosis of HCC patients. DEGs enriched in immune-related pathways could serve as indicators of immunotherapy response in HCC. Among these DEGs, BCL10 and TRAF3 were highly expressed in HCC tissues, especially in the mutant TP53 group, and they co-operatively exhibited immunological function, thereby affecting HCC progression and prognosis. In this study, we identified BCL10 and TRAF3 as potential prognostic indicators in HCC patients. Additionally, we found that BCL10 and TRAF3 influence TMB and TIME in HCC patients and can be used for the development of immune-based therapies for improving the long-term survival of HCC patients.

SLAM family-mediated crosstalk between tumor and immune cells in the tumor microenvironment: a promising biomarker and a potential therapeutic target for immune checkpoint therapies.

Immune cells infiltrating the tumor microenvironment are physiologically important in controlling cancers. However, emerging studies have shown that cancer cells can evade immune surveillance and establish a balance in which these immune cells support tumor progression and therapeutic resistance. The signaling lymphocytic activation molecule family members have been recognized as mediators of tumor microenvironment interactions, and a promising therapeutic target for cancer immunotherapy. This review is focused on the role of SLAM family in tumor and immune cell interactions and discusses how such crosstalk affects tumor behavior. This will shed insight into the next step toward improving cancer immunotherapy.

Characteristics of the tumor microenvironment and therapeutic progress in malignant pleural effusion

Malignant pleural effusion (MPE) can be secondary to various advanced malignant tumors. Although systemic anti tumor therapy may be effective in primary tumors, it cannot reduce the accumulation of MPE in proportion of the patients. The interaction of tumor cells, immune cells, and mesenchymal cells, as well as the abnormal proliferation of tumor-associated blood vessels, together create an immunosuppressive microenvironment for MPE, which promotes the abnormal proliferation of tumor cells and the accumulation of MPE. With the in-depth study of the tumor microenvironment, the application of local systemic anti-tumor therapy with local intrathoracic application of immune checkpoint inhibitors, immune cells, cytokines, and gene-mediated cytotoxic immunotherapy are able to alleviate the immunosuppressive tumor microenvironment and inhibit the accumulation of MPE. This article aimed to describe the tumor microenvironment in MPE and provide clues for identifying novel therapeutic targets.

Integration of Clinical Trial Spatial Multiomics Analysis and Virtual Clinical Trials Enables Immunotherapy Response Prediction and Biomarker Discovery.

Due to the lack of treatment options, there remains a need to advance new therapeutics in hepatocellular carcinoma (HCC). The traditional approach moves from initial molecular discovery through animal models to human trials to advance novel systemic therapies that improve treatment outcomes for patients with cancer. Computational methods that simulate tumors mathematically to describe cellular and molecular interactions are emerging as promising tools to simulate the impact of therapy entirely in silico, potentially greatly accelerating delivery of new therapeutics to patients. To facilitate the design of dosing regimens and identification of potential biomarkers for immunotherapy, we developed a new computational model to track tumor progression at the organ scale while capturing the spatial heterogeneity of the tumor in HCC. This computational model of spatial quantitative systems pharmacology was designed to simulate the effects of combination immunotherapy. The model was initiated using literature-derived parameter values and fitted to the specifics of HCC. Model validation was done through comparison with spatial multiomics data from a neoadjuvant HCC clinical trial combining anti-PD1 immunotherapy and a multitargeted tyrosine kinase inhibitor cabozantinib. Validation using spatial proteomics data from imaging mass cytometry demonstrated that closer proximity between CD8 T cells and macrophages correlated with nonresponse. We also compared the model output with Visium spatial transcriptomics profiling of samples from posttreatment tumor resections in the clinical trial and from another independent study of anti-PD1 monotherapy. Spatial transcriptomics data confirmed simulation results, suggesting the importance of spatial patterns of tumor vasculature and TGFβ in tumor and immune cell interactions. Our findings demonstrate that incorporating mathematical modeling and computer simulations with high-throughput spatial multiomics data provides a novel approach for patient outcome prediction and biomarker discovery. Significance: Incorporating mathematical modeling and computer simulations with high-throughput spatial multiomics data provides an effective approach for patient outcome prediction and biomarker discovery.

Developmental and therapeutic implications of IL4ra expression for rhabdomyosarcoma.

Rhabdomyosarcoma (RMS) is a solid tumor whose metastatic progression can be accelerated through interleukin-4 receptor alpha (Il4ra) mediated interaction with normal muscle stem cells (satellite cells). To understand the function of Il4ra in this tumor initiation phase of RMS, we conditionally deleted Il4ra in genetically-engineered RMS mouse models. Nullizygosity of Il4ra altered the latency, site and/or stage distribution of RMS tumors compared to IL4RA intact models. Primary tumor cell cultures taken from the genetically-engineered models then used in orthotopic allografts further defined the interaction of satellite cells and RMS tumor cells in the context of tumor initiation: in alveolar rhabdomyosarcoma (ARMS), satellite cell co-injection was necessary for Il4ra null tumor cells engraftment, whereas in embryonal rhabdomyosarcoma (ERMS), satellite cell co-injection decreased latency of engraftment of Il4ra wildtype tumor cells but not Il4ra null tumor cells. When refocusing on Il4ra wildtype tumors by single cell sequencing and cytokine studies, we have uncovered a putative signaling interplay of Il4 from T-lymphocytes being received by Il4ra + rhabdomyosarcoma tumor cells, which in turn express Ccl2, the ligand for Ccr2 and Ccr5. Taken together, these results suggest that mutations imposed during tumor initiation have different effects than genetic or therapeutic intervention imposed once tumors are already formed. We also propose that CCL2 and its cognate receptors CCR2 and/or CCR5 are potential therapeutic targets in Il4ra mediated RMS progression.

Placental growth factor promotes neural invasion and predicts disease prognosis in resectable pancreatic cancer

BackgroundSurgery represents the only curative treatment option for pancreatic ductal adenocarcinoma (PDAC), but recurrence in more than 85% of patients limits the success of curative-intent tumor resection. Neural invasion (NI), particularly the spread of tumor cells along nerves into extratumoral regions of the pancreas, constitutes a well-recognized risk factor for recurrence. Hence, monitoring and therapeutic targeting of NI offer the potential to stratify recurrence risk and improve recurrence-free survival. Based on the evolutionary conserved dual function of axon and vessel guidance molecules, we hypothesize that the proangiogenic vessel guidance factor placental growth factor (PlGF) fosters NI. To test this hypothesis, we correlated PlGF with NI in PDAC patient samples and functionally assessed its role for the interaction of tumor cells with nerves.MethodsSerum levels of PlGF and its soluble receptor sFlt1, and expression of PlGF mRNA transcripts in tumor tissues were determined by ELISA or qPCR in a retrospective discovery and a prospective validation cohort. Free circulating PlGF was calculated from the ratio PlGF/sFlt1. Incidence and extent of NI were quantified based on histomorphometric measurements and separately assessed for intratumoral and extratumoral nerves. PlGF function on reciprocal chemoattraction and directed neurite outgrowth was evaluated in co-cultures of PDAC cells with primary dorsal-root-ganglia neurons or Schwann cells using blocking anti-PlGF antibodies.ResultsElevated circulating levels of free PlGF correlated with NI and shorter overall survival in patients with PDAC qualifying for curative-intent surgery. Furthermore, high tissue PlGF mRNA transcript levels in patients undergoing curative-intent surgery correlated with a higher incidence and greater extent of NI spreading to tumor-distant extratumoral nerves. In turn, more abundant extratumoral NI predicted shorter disease-free and overall survival. Experimentally, PlGF facilitated directional and dynamic changes in neurite outgrowth of primary dorsal-root-ganglia neurons upon exposure to PDAC derived guidance and growth factors and supported mutual chemoattraction of tumor cells with neurons and Schwann cells.ConclusionOur translational results highlight PlGF as an axon guidance factor, which fosters neurite outgrowth and attracts tumor cells towards nerves. Hence, PlGF represents a promising circulating biomarker of NI and potential therapeutic target to improve the clinical outcome for patients with resectable PDAC.Graphical

NAT10-mediated upregulation of GAS5 facilitates immune cell infiltration in non-small cell lung cancer via the MYBBP1A-p53/IRF1/type I interferon signaling axis

Interactions of tumor cells with immune cells in the tumor microenvironment play an important role during malignancy progression. We previously identified that GAS5 inhibited tumor development by suppressing proliferation of tumor cells in non-small cell lung cancer (NSCLC). Herein, we discovered a tumor-suppressing role for tumor cell-derived GAS5 in regulating tumor microenvironment. GAS5 positively coordinated with the infiltration of macrophages and T cells in NSCLC clinically, and overexpression of GAS5 promoted macrophages and T cells recruitment both in vitro and in vivo. Mechanistically, GAS5 stabilized p53 by directly binding to MYBBP1A and facilitating MYBBP1A-p53 interaction, and enhanced p53-mediated transcription of IRF1, which activated type I interferon signaling and increased the production of downstream CXCL10 and CCL5. We also found that activation of type I interferon signaling was associated with better immunotherapy efficacy in NSCLC. Furthermore, the stability of GAS5 was regulated by NAT10, the key enzyme responsible for N4-acetylcytidine (ac4C) modification, which bound to GAS5 and mediated its ac4C modification. Collectively, tumor cell-derived GAS5 could activate type I interferon signaling via the MYBBP1A-p53/IRF1 axis, promoting immune cell infiltration and potentially correlating with immunotherapy efficacy, which suppressed NSCLC progression. Our results suggested GAS5 as a promising predictive marker and potential therapeutic target for combination therapy in NSCLC.A schematic diagram demonstrating the regulatory effect of GAS5 on immune cell infiltration by activating type I interferon signaling via MYBBP1A-p53/IRF1 axis in non-small cell lung cancer. IFN, interferon.

Cellular senescence in cancer: molecular mechanisms and therapeutic targets.

Aging exhibits several hallmarks in common with cancer, such as cellular senescence, dysbiosis, inflammation, genomic instability, and epigenetic changes. In recent decades, research into the role of cellular senescence on tumor progression has received widespread attention. While how senescence limits the course of cancer is well established, senescence has also been found to promote certain malignant phenotypes. The tumor-promoting effect of senescence is mainly elicited by a senescence-associated secretory phenotype, which facilitates the interaction of senescent tumor cells with their surroundings. Targeting senescent cells therefore offers a promising technique for cancer therapy. Drugs that pharmacologically restore the normal function of senescent cells or eliminate them would assist in reestablishing homeostasis of cell signaling. Here, we describe cell senescence, its occurrence, phenotype, and impact on tumor biology. A "one-two-punch" therapeutic strategy in which cancer cell senescence is first induced, followed by the use of senotherapeutics for eliminating the senescent cells is introduced. The advances in the application of senotherapeutics for targeting senescent cells to assist cancer treatment are outlined, with an emphasis on drug categories, and the strategies for their screening, design, and efficient targeting. This work will foster a thorough comprehension and encourage additional research within this field.

Abstract LB392: Transformative pathomics in oncology: Harnessing FFPE tissue slide imagery for clinically relevant gene expression prediction in invasive breast carcinoma

Abstract Purpose: Pathologists routinely analyze H&amp;E-stained FFPE tissue slides microscopically to arrive at diagnoses for patients. Pathomics, the study of quantitative imaging from such samples, aims to elevate diagnostic accuracy by revealing intricate tissue and cellular details. Our research evaluates how pathomic features from tissue imagery can predict gene expression, as determined by RNA sequencing, offering advancements in the molecular profiling and targeted therapy for invasive breast carcinoma (IBC). Method: We conducted an analysis of 90 regions of interest (ROIs) on FFPE tissue slide images from the TCGA registry for patients with IBC. Using HistomicsTK software, we extracted nearly 300 pathomic features depicting cell morphometry, intensity, and gradient from these regions of interest (ROIs). We then assessed the intra-correlation of the pathomic features within the ROIs of the same tissue slide to identify the most heterogeneous and highly correlating features (n=20) across categories—morphometry, intensity, and gradient—with a Pearsonʼs Correlation coefficient (r) greater than 0.9 and a FDR adjusted p-value less than 0.05. Subsequently, gene expression data in the form of FPKM were obtained for the corresponding tissues from TCGA. We trained a Multitask Elastic Net (MTEN) model on these pathomic features using an 80:20 split for the training and testing sets, with a three-fold cross-validation applied to the training set utilizing ImaGene software. The model's performance was evaluated by measuring the AUC and R² value for the predicted gene expression on the testing set. Result and Biological significance: The testing of the MTEN model using a testing set predicted the expression of three genes identified in the literature as prognostic markers in breast cancer, namely ALDH1L2, MFAP5, and MXRA8, with an AUC greater than 0.8 and an R² above 0.5 at a p-value of less than 0.002. According to the literature, expression of genes from the ALDH1 superfamily in breast cancer correlates with the stage of the disease, triple-negative status, and response to neoadjuvant therapy. The upregulation of MFAP5 in invasive breast carcinomas has been associated with high risk prognostic features, such as higher tumor grade and stage and increased angiogenesis, and poorer outcomes, such as lymph node metastasis. Furthermore, MXRA8 is involved in modulating the progression of human triple-negative breast cancer, likely through its influence on the interactions of tumor cells with their microenvironment. Conclusion: The present study predicts the expression of clinically relevant genes in IBC using a heterogeneous set of pathomic features extracted from FFPE tissue slide imagery. By linking cell and tissue-based morphometric, intensity, and gradient features with gene expression, researchers can gain insights into the molecular mechanisms underlying disease progression. Digital pathology and pathomics may reduce the need for additional genetic testing in critical patient-cases by providing predictive information from routinely acquired pathology slides. Bridging the gap between phenotypic tissue data and molecular data, the predictive capabilities of pathomic features represent a significant advancement in the field of precision medicine. Citation Format: Shrey S. Sukhadia, Digvijay Yadav, Kristen E. Muller. Transformative pathomics in oncology: Harnessing FFPE tissue slide imagery for clinically relevant gene expression prediction in invasive breast carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB392.

Abstract 6859: A novel immune checkpoint CD97/CD55 in the initiation and progression of papillary thyroid cancer by scRNA-seq

Abstract Thyroid cancer (TC), as the most common endocrine malignancy, has exhibited a significant increasing trend in incidence in China and globally, with papillary thyroid cancer (PTC) being the most common pathological type. However, the molecular mechanisms driving the initiation and progression of TC remains scarce, posing a bottleneck problem for the precise diagnosis and treatment. Tumors, as a complex heterogeneous composite consisting of tumor cells, immune cells, and stromal cells, have long been considered to play a key role in driving tumor occurrence and malignant progression through the proportion, spatial distribution, and interaction of tumor cells and immune cells in the tumor immune microenvironment(TIME).We performed single-cell RNA sequencing (scRNA-seq) on 16 clinical samples, including normal thyroid tissue, benign nodules, PTC, and PTC with cervical lymph node metastasis(LNM), delineating the cell atlas of the tumor microenvironment (TME) at various stages from normal thyroid to PTC development. Among these, we discovered a previously undefined TNFSF9highCD8+ T cell subset with a distinct transcriptional profile from classical exhausted T cells, which was highly enriched in PTC tumor tissues. Further cell interaction analysis revealed that the highly expressed CD97 receptor on these CD8+ T cells binds to the highly expressed CD55 molecule on PTC tumor cells, promoting the exhaustion of CD8+ T cells, suggesting that CD97/CD55 may be a key new immune checkpoint (IC) inducing CD8+ T cell exhaustion and promoting immune escape of PTC tumor cells. We validated the co-localization of CD97/CD55-mediated CD8+ T cell and tumor cell interactions in PTC patient specimens and spontaneous tumor samples from a mouse PTC model using multiplex immunofluorescence (mIHC). Flow cytometry analysis of the proportion of CD97+ CD8+ T cells in patient and mouse specimens revealed a significant increase in the proportion of CD97+ CD8+ T cells in PTC tumor tissues. Co-culture experiments of activated and expanded CD8+ T cells from peripheral blood mononuclear cells(PBMC) of PTC patients with PTC tumor cells showed that CD55 overexpressing tumor cells inhibited the secretion of cytotoxic cytokines IFN-γ and IL-2 by activated CD8+ T cells through the CD97/CD55 IC signal, thereby weakening the cytotoxity on PTC tumor cells. In summary, the IC regulatory signal formed by the highly expressed CD55 molecule on the surface of PTC tumors and the CD97 receptor on the surface of PTC-specific inhibitory TNFSF9highCD8+ T cells can reshape the TIME, promoting the formation of an immunosuppressive microenvironment, which may represent a novel molecular mechanism promoting immune escape of tumor cells during PTC initiation and progression. Citation Format: Xuan Qin, Jia Li, Dapeng Li, Xing Wan, Xianhui Ruan, Yimeng Liu, Weijing Hao, Kejia Xu, Yi Shi, Yongjun Piao, Xiangqian Zheng. A novel immune checkpoint CD97/CD55 in the initiation and progression of papillary thyroid cancer by scRNA-seq [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6859.

Abstract 4223: The dual immunestimulatory and immunesuppressive role of MRC5 fibroblast cells in 3D coculture with T cells and tumor cells

Abstract Introduction: Cancer-associated fibroblasts (CAFs) alter anti-tumor immune responses and modulate resistance to immune checkpoint inhibitors. The mechanisms of crosstalk between tumor cells, CAFs, and T cells remain not fully understood, and studying these multicellular interactions requires adoption of novel tools in preclinical research. Here, we established a spheroid co-culture model comprising of tumor cell lines, a fibroblast cell line, and primary human T cells, for studying the immunomodulatory effects of fibroblasts on T cell responses in vitro, in the context of immunotherapies. Methods: For setting up the 3D co-culture, A375 or OV-90 tumor cells were seeded alone or with MRC-5 fibroblasts in 96-well ultra-low attachment round bottom plates in complete growth medium supplemented with 1% Geltrex matrix. The cells were centrifuged, and spheroids were allowed to form for 24 hours. After spheroid initiation, activated T cells and treatments with anti-PD1 antibody or an immune stimulatory drug were added. Spheroid co-cultures were live imaged by Incucyte SX5 for 72 hours taking images every 4 hours, after which treatment responses were evaluated by flow cytometry and measuring IFN-γ accumulation with ELISA. Results: To mimic fibroblast and T cell interactions in tumor microenvironment we built and optimized an in vitro 3D co-culture assay using various tumor cell lines. With this assay we found that depending on the tumor cell interaction, fibroblasts MRC-5 cell line have either immune-suppressive or immune-promoting properties. IFN-γ secretion of T cells in the assay indicated that MRC-5 cells suppressed T cells when co-cultured with A375 cells, while with OV-90 cells T cells activation was enhanced. In addition to the IFN- γ secretion, T cells in MRC-5 OV-90 interaction significantly upregulated 4-1BB expression on both CD4 &amp; CD8 T cells. Interestingly we noticed that MRC-5 fibroblasts could modulate T cell responses to anti-PD-1 treatment in the co-culture depending on the tumor cell used. Conclusion: Here, we established a spheroid co-culture model, which will allow studies of the immunomodulatory crosstalk occurring in tumor microenvironment. Our model revealed a bifunctional role of MRC-5 fibroblasts in altering T cell phenotype. This finding is in line with literature highlighting the ability of fibroblasts to act as either tumor promoters or tumor suppressors depending on tumor microenvironment. We believe that this model, would aid in elucidating mechanisms of interaction between CAFs and T cells, potentially leading to discoveries of novel targets for immuno-oncology drug development. Additional studies, such as gene expression analysis using single cell RNA sequencing, are warranted to further validated the model and to better understand the kinetics of these interaction occurring in the co-culture with various tumor cell lines. Citation Format: Ilona Arnkil, Can Hekim, Elli Narvi, Emmi-Leena Ihantola, Endrit Elbasani, Anil Thotakura. The dual immunestimulatory and immunesuppressive role of MRC5 fibroblast cells in 3D coculture with T cells and tumor cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4223.