Variation In Expression Levels Research Articles

Histology-Based Radiomics for [18F]FDG PET Identifies Tissue Heterogeneity in Pancreatic Cancer.

Radiomics features can reveal hidden patterns in a tumor but usually lack an underlying biologic rationale. In this work, we aimed to investigate whether there is a correlation between radiomics features extracted from [18F]FDG PET images and histologic expression patterns of a glycolytic marker, monocarboxylate transporter-4 (MCT4), in pancreatic cancer. Methods: A cohort of pancreatic ductal adenocarcinoma patients (n = 29) for whom both tumor cross sections and [18F]FDG PET/CT scans were available was used to develop an [18F]FDG PET radiomics signature. By using immunohistochemistry for MCT4, we computed density maps of MCT4 expression and extracted pathomics features. Cluster analysis identified 2 subgroups with distinct MCT4 expression patterns. From corresponding [18F]FDG PET scans, radiomics features that associate with the predefined MCT4 subgroups were identified. Results: Complex heat map visualization showed that the MCT4-high/heterogeneous subgroup was correlating with a higher MCT4 expression level and local variation. This pattern linked to a specific [18F]FDG PET signature, characterized by a higher SUVmean and SUVmax and second-order radiomics features, correlating with local variation. This MCT4-based [18F]FDG PET signature of 7 radiomics features demonstrated prognostic value in an independent cohort of pancreatic cancer patients (n = 71) and identified patients with worse survival. Conclusion: Our cross-modal pipeline allows the development of PET scan signatures based on immunohistochemical analysis of markers of a particular biologic feature, here demonstrated on pancreatic cancer using intratumoral MCT4 expression levels to select [18F]FDG PET radiomics features. This study demonstrated the potential of radiomics scores to noninvasively capture intratumoral marker heterogeneity and identify a subset of pancreatic ductal adenocarcinoma patients with a poor prognosis.

Prediction by genetic MATS of 4CMenB vaccine strain coverage of invasive meningococcal serogroup B isolates circulating in Taiwan between 2003 and 2020.

Neisseria meningitidis serogroup B (NmB) strains have diverse antigens, necessitating methods for predicting meningococcal serogroup B (MenB) vaccine strain coverage. The genetic Meningococcal Antigen Typing System (gMATS), a correlate of MATS estimates, predicts strain coverage by the 4-component MenB (4CMenB) vaccine in cultivable and non-cultivable NmB isolates. In Taiwan, 134 invasive, disease-causing NmB isolates were collected in 2003-2020 (23.1%, 4.5%, 5.2%, 29.8%, and 37.3% from individuals aged ≤11 months, 12-23 months, 2-4 years, 5-29 years, and ≥30 years, respectively). NmB isolates were characterized by whole-genome sequencing and vaccine antigen genotyping, and 4CMenB strain coverage was predicted using gMATS. Analysis of phylogenetic relationships with 502 global NmB genomes showed that most isolates belonged to three global hyperinvasive clonal complexes: ST-4821 (27.6%), ST-32 (23.9%), and ST-41/44 (14.9%). Predicted strain coverage by gMATS was 62.7%, with 27.6% isolates covered, 2.2% not covered, and 66.4% unpredictable by gMATS. Age group coverage point estimates ranged from 42.9% (2-4 years) to 66.1% (≤11 months). Antigen coverage estimates and percentages predicted as covered/not covered were highly variable, with higher estimates for isolates with one or more gMATS-positive antigens than for isolates positive for one 4CMenB antigen. In conclusion, this first study on NmB strain coverage by 4CMenB in Taiwan shows 62.7% coverage by gMATS, with predictable coverage for 29.8% of isolates. These could be underestimated since the gMATS calculation does not consider synergistic mechanisms associated with simultaneous antibody binding to multiple targets elicited by multicomponent vaccines or the contributions of minor outer membrane vesicle vaccine components.IMPORTANCEMeningococcal diseases, caused by the bacterium Neisseria meningitidis (meningococcus), include meningitis and septicemia. Although rare, invasive meningococcal disease is often severe and can be fatal. Nearly all cases are caused by six meningococcal serogroups (types), including meningococcal serogroup B. Vaccines are available against meningococcal serogroup B, but the antigens targeted by these vaccines have highly variable genetic features and expression levels, so the effectiveness of vaccination may vary depending on the strains circulating in particular countries. It is therefore important to test meningococcal serogroup B strains isolated from specific populations to estimate the percentage of bacterial strains that a vaccine can protect against (vaccine strain coverage). Meningococcal isolates were collected in Taiwan between 2003 and 2020, of which 134 were identified as serogroup B. We did further investigations on these isolates, including using a method (called gMATS) to predict vaccine strain coverage by the 4-component meningococcal serogroup B vaccine (4CMenB).

Genome-Wide Identification and Expression Analysis of Bx Involved in Benzoxazinoids Biosynthesis Revealed the Roles of DIMBOA during Early Somatic Embryogenesis in Dimocarpus longan Lour.

Benzoxazinoids (BXs) are tryptophan-derived indole metabolites and play a role in various physiological processes, such as auxin metabolism. Auxin is essential in the process of somatic embryogenesis (SE) in plants. In this study, we used bioinformatics, transcriptome data, exogenous treatment experiments, and qPCR analysis to study the evolutionary pattern of Bx genes in green plants, the regulatory mechanism of DlBx genes during early SE, and the effect of 2,4-dihydroxy-7-methoxy-1,4-benzoxazine-3-one (DIMBOA) on the early SE in Dimocarpus longan Lour. The results showed that 27 putative DlBxs were identified in the longan genome; the Bx genes evolved independently in monocots and dicots, and the main way of gene duplication for the DlBx was tandem duplication (TD) and the DlBx were strongly constrained by purification selection during evolution. The transcriptome data indicated varying expression levels of DlBx during longan early SE, and most DlBxs responded to light, temperature, drought stress, and 2,4-dichlorophenoxyacetic acid (2,4-D) treatment; qRT-PCR results showed DlBx1, DlBx6g and DlBx6h were responsive to auxin, and treatment with 0.1mg/L DIMBOA for 9 days significantly upregulated the expression levels of DlBx1, DlBx3g, DlBx6c, DlBx6f, DlB6h, DlBx7d, DlBx8, and DlBx9b. The correlation analysis showed a significantly negative correlation between the expression level of DlBx1 and the endogenous IAA contents; DIMBOA significantly promoted the early SE and significantly changed the endogenous IAA content, and the IAA content increased significantly at the 9th day and decreased significantly at the 13th day. Therefore, the results suggested that DIMBOA indirectly promote the early SE by changing the endogenous IAA content via affecting the expression level of DlBx1 and hydrogen peroxide (H2O2) content in longan.

Enhancing immune and antioxidant responses in Nile tilapia through dietary supplementation with Ulva fasciata extract: A study on gene expression and resistance to Aeromonas hydrophila.

The study focused on the impact of Ulva fasciata extract (UFE) supplementation in the diets of Nile tilapia (Oreochromis niloticus) on blood and biochemical markers, immune and oxidative responses, and the expression of related genes, with a specific interest in their condition following exposure to Aeromonas hydrophila. Four different levels of UFE were tested in the diets: 0% (0 mg kg- 1) for the control group (U0), and incremental additions of 0.05% (50 mg kg-1), 0.1% (100 mg kg-1), and 0.15% (150 mg kg-1) for the experimental groups U50, U100, and U150 respectively. Groups of 45 fish weighing 3.126 ± 0.120 g were fed these diets over 90 days. The study found that groups treated with UFE showed statistically significant enhancements (p < 0.05) compared to the control group. These improvements included increased red and white blood cell counts, higher haemoglobin concentrations, greater packed cell volume, and elevated enzyme activities-specifically, superoxide dismutase, catalase, alanine aminotransferase, and aspartate aminotransferase. Additionally, lysozyme and phagocytic activities were notably higher, especially in the U100 group after exposure. Before exposure to Aeromonas hydrophila, all levels of UFE supplementation led to increased expression of TNF-α and COXII genes and decreased NFκ-B expression. After the challenge, UFE intake resulted in varied expression levels of immune and antioxidant genes (TNF-α, NFκ-B, SOD, and COXII) in the liver, with the most effective responses observed in the U50, U100, and U150 groups. The findings underscore the potential of dietary UFE as a natural antioxidant and immune booster for Nile tilapia.

Automated characterization and analysis of expression compatibility between regulatory sequences and metabolic genes in Escherichia coli

Utilizing standardized artificial regulatory sequences to fine-tuning the expression of multiple metabolic pathways/genes is a key strategy in the creation of efficient microbial cell factories. However, when regulatory sequence expression strengths are characterized using only a few reporter genes, they may not be applicable across diverse genes. This introduces great uncertainty into the precise regulation of multiple genes at multiple expression levels. To address this, our study adopted a fluorescent protein fusion strategy for a more accurate assessment of target protein expression levels. We combined 41 commonly-used metabolic genes with 15 regulatory sequences, yielding an expression dataset encompassing 520 unique combinations. This dataset highlighted substantial variation in protein expression level under identical regulatory sequences, with relative expression levels ranging from 2.8 to 176-fold. It also demonstrated that improving the strength of regulatory sequences does not necessarily lead to significant improvements in the expression levels of target proteins. Utilizing this dataset, we have developed various machine learning models and discovered that the integration of promoter regions, ribosome binding sites, and coding sequences significantly improves the accuracy of predicting protein expression levels, with a Spearman correlation coefficient of 0.72, where the promoter sequence exerts a predominant influence. Our study aims not only to provide a detailed guide for fine-tuning gene expression in the metabolic engineering of Escherichia coli but also to deepen our understanding of the compatibility issues between regulatory sequences and target genes.

Region-specific and age-related differences in astrocytes in the human brain

Astrocyte heterogeneity and its relation to aging in the normal human brain remain poorly understood. We here analyzed astrocytes in gray and white matter brain tissues obtained from donors ranging in age between the neonatal period to over 100 years. We show that astrocytes are differently distributed with higher density in the white matter. This regional difference in cellular density becomes less prominent with age. Additionally, we confirm the presence of morphologically distinct astrocytes, with gray matter astrocytes being morphologically more complex. Notably, gray matter astrocytes morphologically change with age, while white matter astrocytes remain relatively consistent in morphology. Using regional mass spectrometry-based proteomics, we did, however, identify astrocyte specific proteins with regional differences in abundance, reflecting variation in cellular density or expression level. Importantly, the expression of some astrocyte specific proteins region-dependently decreases with age. Taken together, we provide insights into region- and age-related differences in astrocytes in the human brain.

Integrated Analysis of CD1A Immune Infiltration and Competing Endogenous RNA Networks in COAD.

The CD1A gene, a key component of the human immune system and part of the CD1 family, plays a crucial role in presenting lipid antigens to T cells. Abnormal CD1A expression is associated with various immune-related diseases and tumors. However, the biological function of CD1A in COAD is unclear. Multiple databases were systematically employed to conduct an analysis of CD1A expression in pan-cancer and COAD, along with its clinical-pathological features. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses of CD1A were performed using the 'clusterProfiler' package. The Protein-protein interaction (PPI) analysis of CD1A was used the STRING database. Additionally, TIMER and ssGSEA tools were used to explore the relationship between CD1A expression in COAD and immune cell infiltration. The study also investigated the association between CD1A expression and N6-methyladenosine (m6A) modification genes in the TCGA COAD cohort and constructed a CD1A-centric competing endogenous RNA (ceRNA) regulatory network. CD1A displays varying expression levels in various tumors, including COAD, and is closely linked to clinical-pathological characteristics. GO analysis suggests that CD1A plays a role in important processes like antigen processing and presentation, leukocyte-mediated immunity, and lymphocyte-mediated immunity. KEGG analysis identifies CD1A's involvement in key pathways such as the Chemokine signaling pathway and Cytokine-cytokine receptor interaction. PPI analysis highlights CD1A's interactions with CD207, CD1C, CD1E, FOXP3, and ITGB2. ssGSEA analysis indicates a significant relationship between CD1A expression and the infiltration of various immune cells in COAD. Significant associations were found between CD1A and m6A modification genes in COAD. Furthermore, a CD1A-centered ceRNA regulatory network has been constructed. CD1A emerges as a potential biomarker for the diagnosis and treatment of COAD, showing a strong association with tumor immune infiltration, m6A modification, and the ceRNA network.

Investigation of post-immunization immune response gene expression kinetics in lymphoid tissues of White Leghorn and Indian native chicken

Understanding the basal expression kinetics of genes related to innate immunity aids effective genetic selection for immune response and how host genetics behaves with tolerance to Newcastle disease (ND) is obscure. It was hence aimed to investigate post-immunization mRNA expression kinetics of some immune response genes in White Leghorn, Aseel and Kadaknath chicken. Day-old chicks were vaccinated with ND RDF-1 strain with booster dose at 28-days of age at the experimental layer farm of ICAR-Central Avian Research Institute, Izatnagar (India) and lymphoid tissues were collected in RNAlater at 42-days of age. Total RNA was extracted and first strand cDNA was synthesized. Relative quantification of mRNA expression of IL1-β, IFN-γ, iNOS and TLR15 gene was assessed by qRT-PCR. The mRNA expressions significantly varied among the genes in spleen and thymus, and moderate expression of IFN-γ in all chicken genotypes suggested good protection against Newcastle disease virus. IL1-β-mRNA expressed at the highest level (P˂ 0.05) in spleen followed by thymus and bursa, whereas IFN-γ and iNOS expressed highly (P˂ 0.05) in thymus followed by spleen and bursa. In case of TLR15, the expression was significantly the highest in spleen followed by bursa and thymus. Kadaknath had the highest (P˂ 0.05) expression of IL1-β in thymus and that of iNOS in spleen, whereas Aseel showed the least (P > 0.05) expression than Kadaknath and White Leghorn. The study revealed the existence of wide variation in basal expression levels of immune response genes among different lymphoid tissues and lack of discernible differences in the expression between the chicken genotypes.

Transcriptome Profiling Unveils Key Genes Regulating the Growth and Development of Yangzhou Goose Knob.

Goose is one of the most economically valuable poultry species and has a distinct appearance due to its possession of a knob. A knob is a hallmark of sexual maturity in goose (Anser cygnoides) and plays crucial roles in artificial selection, health status, social signaling, and body temperature regulation. However, the genetic mechanisms influencing the growth and development of goose knobs remain completely unclear. In this study, histomorphological and transcriptomic analyses of goose knobs in D70, D120, and D300 Yangzhou geese revealed differential changes in tissue morphology during the growth and development of goose knobs and the key core genes that regulate goose knob traits. Observation of tissue sections revealed that as age increased, the thickness of the knob epidermis, cuticle, and spinous cells gradually decreased. Additionally, fat cells in the dermis and subcutaneous connective tissue transitioned from loose to dense. Transcriptome sequencing results, analyzed through differential expression, Weighted Gene Co-expression Network Analysis (WGCNA), and pattern expression analysis methods, showed D70-vs.-D120 (up-regulated: 192; down-regulated: 423), D70-vs.-D300 (up-regulated: 1394; down-regulated: 1893), and D120-vs.-D300 (up-regulated: 1017; down-regulated: 1324). A total of 6243 differentially expressed genes (DEGs) were identified, indicating varied expression levels across the three groups in the knob tissues of D70, D120, and D300 Yangzhou geese. These DEGs are significantly enriched in biological processes (BP) such as skin morphogenesis, the regulation of keratinocyte proliferation, and epidermal cell differentiation. Furthermore, they demonstrate enrichment in pathways related to goose knob development, including ECM-receptor interaction, NF-kappa B, and PPAR signaling. Through pattern expression analysis, three gene expression clusters related to goose knob traits were identified. The joint analysis of candidate genes associated with goose knob development and WGCNA led to the identification of key core genes influencing goose knob development. These core genes comprise WNT4, WNT10A, TCF7L2, GATA3, ADRA2A, CASP3, SFN, KDF1, ERRFI1, SPRY1, and EVPL. In summary, this study provides a reference for understanding the molecular mechanisms of goose knob growth and development and provides effective ideas and methods for the genetic improvement of goose knob traits.

Abstract LB025: CKD-703, a novel antibody-drug conjugate targeting cMET with an enhanced therapeutic index in solid tumors

Abstract In our pursuit of advancing cancer therapeutics, we introduce CKD-703, a groundbreaking cMET-targeting antibody drug conjugate (ADC) designed to strategically address the challenges posed by cMET overexpression and alteration in various solid tumors. Recognizing the pivotal role of tolerability and efficacy in shaping the therapeutic landscape of ADC, CKD-703 represents a significant advancement, aiming to widen the therapeutic index of cMET-targeted therapies. As we develop CKD-703, an innovative cMET-targeting ADC, we acknowledge the oncogenic potential of cMET alterations, particularly in non-small cell lung cancer (NSCLC), and the prevalent elevation of cMET across various cancers. Antibody drug conjugates targeting cMET (cMET-ADCs) have shown its therapeutic potential in treating cMET positive tumors, irrespective of their dependency on cMET signaling. Clinical success, however, has often been limited to NSCLC patients with the highest cMET levels. In light of this, CKD-703 is crafted to not only improve tolerability but also enhance efficacy, thereby broadening its application to a diverse patient population, including those with moderate cMET expression. To develop a novel cMET-ADC, Chong Kun Dang leverages Synaffix's ADC platform technology, incorporating glycan remodeling to achieve site-specific conjugation of the linker-payload to the antibody and ensuring a homogeneous drug-antibody ratio. These unique characteristics enhance CKD-703's stability in the bloodstream, minimizing the concentration of liberated free payload and significantly improving tolerability. The uniform DAR of CKD-703 contributes to improved pharmacokinetics, ensuring a consistent and sustained therapeutic effect. In comparison to benchmark antibodies, CKD-703 exhibits superior binding affinity to cMET and efficient internalization, resulting in enhanced therapeutic efficacy. This is evidenced in preclinical experiments which performed in several animal models that can mimic the complexities of cMET positive tumors with varying expression levels. The GLP toxicity studies of CKD-703 are ongoing. In conclusion, CKD-703 is a novel cMET-targeting ADC designed to overcome the limitations observed in existing cMET-ADCs in clinical trials as well as significantly improve tolerability and efficacy. By strategically addressing challenges associated with moderate cMET expression levels, CKD-703 emerges as a promising therapeutic candidate, aiming to broaden the therapeutic index in cMET-overexpressing solid tumors. This study highlights the importance of tailored approaches to diverse patient populations in advancing the development of CKD-703 in the pursuit of precision cancer therapies. Citation Format: Kwanwoo Lee, Sue-Youn Kim, Hye-Jin Hong, Eunjeong Park, Jungok Park, Seong-Ho Hong, Daekwon Bae, Nina Ha, Sohn-Ji Yeon, Inchang Hwang, Semi Kim, Yoonseok Lee, Ju-Hee Lee. CKD-703, a novel antibody-drug conjugate targeting cMET with an enhanced therapeutic index in solid tumors [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 LB025.

Profiling of Groundnut bud necrosis orthotospovirus–responsive microRNA and their targets in tomato based on deep sequencing

Tomato, an extensively cultivated vegetable crop produces miRNAs in response to infection with Groundnut bud necrosis orthotospovirus, a viral pathogen causing significant economic losses. High-throughput miRNA sequencing was performed on tomato leaves inoculated with GBNV and mock-inoculated leaves as controls. Analysis revealed 73 known miRNAs belonging to 24 miRNA families, with variable expression levels. Interestingly, 39 miRNAs were upregulated, and 34 were downregulated in response to GBNV infection. Stem-loop quantitative reverse transcription PCR validated the differential expression of selected miRNAs. Additionally, 30 miRNA encoded proteins were identified to be involved in disease resistance and susceptibility. The miRNA-target interactions were found to play significant roles in cellular and metabolic activities, as well as modulating signaling pathways during the plant-virus interaction. The findings shed light on the intricate regulatory network of miRNAs in tomato response to viral infection and may contribute to developing strategies for improving crop protection against viral diseases.

TOB1 modulates neutrophil phenotypes to influence gastric cancer progression and immunotherapy efficacy.

The ErbB-2.1(TOB1) signaling transducer protein is a tumor-suppressive protein that actively suppresses the malignant phenotype of gastric cancer cells. Yet, TOB1 negatively regulates the activation and growth of different immune cells. Understanding the expression and role of TOB1 in the gastric cancer immune environment is crucial to maximize its potential in targeted immunotherapy. This study employed multiplex immunofluorescence analysis to precisely delineate and quantify the expression of TOB1 in immune cells within gastric cancer tissue microarrays. Univariate and multivariate Cox analyses were performed to assess the influence of clinical-pathological parameters, immune cells, TOB1, and double-positive cells on the prognosis of gastric cancer patients. Subsequent experiments included co-culture assays of si-TOB1-transfected neutrophils with AGS or HGC-27 cells, along with EdU, invasion, migration assays, and bioinformatics analyses, aimed at elucidating the mechanisms through which TOB1 in neutrophils impacts the prognosis of gastric cancer patients. We remarkably revealed that TOB1 exhibits varying expression levels in both the nucleus (nTOB1) and cytoplasm (cTOB1) of diverse immune cell populations, including CD8+ T cells, CD66b+ neutrophils, FOXP3+ Tregs, CD20+ B cells, CD4+ T cells, and CD68+ macrophages within gastric cancer and paracancerous tissues. Significantly, TOB1 was notably concentrated in CD66b+ neutrophils. Survival analysis showed that a higher density of cTOB1/nTOB1+CD66b+ neutrophils was linked to a better prognosis. Subsequent experiments revealed that, following stimulation with the supernatant of tumor tissue culture, the levels of TOB1 protein and mRNA in neutrophils decreased, accompanied by enhanced apoptosis. HL-60 cells were successfully induced to neutrophil-like cells by DMSO. Neutrophils-like cells with attenuated TOB1 gene expression by si-TOB1 demonstrated heightened apoptosis, consequently fostering a malignant phenotype in AGS and HCG-27 cells upon co-cultivation. The subsequent analysis of the datasets from TCGA and TIMER2 revealed that patients with high levels of TOB1 combined neutrophils showed better immunotherapy response. This study significantly advances our comprehension of TOB1's role within the immune microenvironment of gastric cancer, offering promising therapeutic targets for immunotherapy in this context.

PTEN and PI3K Mutation Markers and Expression of CD68 and IL-6 Inflammatory Markers in Endometrioid and Clear Cell Ovarian Carcinoma with Underlying Endometriosis

The objective of this research endeavour was to ascertain whether there existed a distinction in the protein expression levels of phosphatase and tensin homolog (PTEN), phosphatidylinositol-4,5-biphosphate3-kinase (PI3K), macrophage (CD68), and interleukin-6 (IL-6) among women who had been diagnosed as having ovarian carcinoma (endometrioid and clear cell subtypes) underlying endometriosis. Tissue microarray (TMA) slides were fabricated using donor’s formalin-fixed paraffinembedded (FFPE) blocks that comprised specimens of ovarian carcinomas tissues with the subtypes of endometrioid and clear cell that were retrieved for a duration of nine years. A total of 19 FFPE blocks represented 19 cases of carcinoma of the ovary, which were categorised into two groups: ovarian cancer with endometriosis (EAOC, n=10) and ovarian cancer without endometriosis (n=9). All of these protein expressions were analysed using immunohistochemistry (IHC) technique. Following that, comparisons were made regarding the clinical and pathological characteristics of the ovarian carcinomas, as well as any discernible variations in expression levels between the two groups. In EAOC, PTEN expression was lower (88.9% vs. 100%, P=0.47) compared to those without endometriosis. Our findings revealed an increase of PI3K and IL-6 in EAOC than those devoid of endometriosis; 80% vs. 77.8%, P=1.00 and 70% vs 11.11%, P=0.35, respectively. In contrast, CD68 was significantly lower in endometriosis-associated ovarian cancer compared to those without endometriosis (40% vs. 66.67%, P=0.16). In conclusion, there were no significant difference in the mutational and inflammatory marker modifications between clear cell carcinoma and endometrioid adenocarcinoma of ovary with endometriosis.

Abstract 472: Long non-coding RNA MIR31HG-derived circRNA enhances the oncogenicity of oral carcinoma

Abstract Introduction: Oral carcinoma (OC) represents a significant health challenge, with the role of non-coding RNAs, particularly microRNAs and long non-coding RNAs (LncRNAs), being well-established in its progression. However, the implications of circular RNAs (circRNAs) in this context are less well understood, presenting a notable gap in current research. Our study focuses on the MIR31HG LncRNA, identified as crucial in OC, particularly its role in producing circRNA, as evidenced by sequencing. This specific MIR31HG-derived circRNA, designated 31HGcircR, which contains a potential open reading frame (ORF), and may demonstrate phenotypic significances. Alterations to 31HGcircR, either through knockout or ORF mutation, result in remarkable phenotypic changes, highlighting its potential importance in the pathogenesis of OC. Methods: We implemented 31HGcircR overexpression in OC cell lines, utilizing the TetOff system for gene expression control. CRISPR/Cas9 was employed for gene knockout, and siRNA for gene knockdown. Gene expression was quantified using qPCR. Additionally, the BaseScope assay was used to label and detect the spatial expression of overexpressed 31HGcircR within the cells. Assays to assess cell proliferation, invasion, migration, anchorage-independent growth (AIG), and clonogenicity were conducted. Results: The findings revealed specific junctions of 31HGcircR and varied expression levels across different OC cell lines. There was a significant correlation among the expression of 31HGcircR, MIR31HG and miR-31-5p. Notably, the knockdown of 31HGcircR led to pronounced inhibition of cell growth, migration, invasion, AIG, and clonogenic activity. Conversely, overexpression of 31HGcircR or its ORFs augmented invasion and clonogenic potential in certain cell lines. The TetOff system demonstrated that minimal concentrations of Doxycycline effectively suppressed 31HGcircR expression, with reversible effects upon removal. Knocking out 31HGcircR resulted in reduced invasion and clonogenic capabilities. Conclusion: This study provides clues demonstrating the oncogenic roles of 31HGcircR in OC, which simulate the functions of MIR31HG or miR-31-5p. The changes in cell phenotypes following 31HGcircR manipulation suggest its potential as a therapeutic target or biomarker in OC. These findings offer valuable insights, contributing to the evolving understanding of circRNAs in cancer research and potential treatment avenues. Citation Format: Chung-Hsien Chou, Hsi-Feng Tu, Kuo-Wei Chang, Shu-Chun Lin. Long non-coding RNA MIR31HG-derived circRNA enhances the oncogenicity of oral carcinoma [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 472.

Abstract 5826: Comprehensive analysis with single-cell RNA sequence and spatial transcriptomics unravels distinctive expression profile of apoptotic-related genes in EGFR-mutated lung cancer

Abstract Despite an initial marked response to targeted therapy with tyrosine kinase inhibitors (TKIs) in EGFR-mutated lung cancer, the duration of response is limited due to the inevitable development of acquired resistance. Anti- and pro-apoptotic genes play an important role in the survival of tumor cells. Currently, variations in these gene expression levels are not well characterized due to the complex interplay between the inducement of expression changes by EGFR-TKIs and the presence of inter- and intra-tumor heterogeneity. Here, a comprehensive analysis of apoptosis-related genes, including BCL-2 family members and the IAP family members, was conducted via single-cell RNA sequence (scRNA-seq) and spatial transcriptomics. scRNA-seq captured changes in apoptosis-related gene expression after EGFR-TKI treatment using different EGFR-mutated lung cancer cell lines. Notably, BCL2L1 expression increased, whereas MCL1 expression decreased after EGFR-TKI treatment. Other anti- and pro-apoptotic genes did not display consistent trends in the cell lines used. Additionally, scRNA-seq was carried out on samples collected from patients with EGFR-mutated lung cancer after the development of resistance to EGFR-TKIs in order to validate the results obtained from cell line data and to compare gene expression levels between tumor and non-tumor cells. BCL2L1 exhibited high expression specifically in tumor cells; in contrast, MCL1 expression was lower in tumor cells compared to non-tumor cells. Moreover, BAD and XIAP were highly expressed in a tumor-specific manner. To further corroborate the scRNA-seq findings and delineate the spatial heterogeneity in tumors, spatial transcriptomics was performed using EGFR-driven lung cancer transgenic mouse specimens in three conditions: prior to treatment, during therapeutic response after short-term treatment, and following acquired resistance to EGFR-TKIs. Spatial transcriptomics data demonstrated that an increased BCL2L1 expression was observed in tumor tissues and that MCL1 expression was significantly higher in tissue adjacent to tumors than in tumors. Finally, we demonstrated that genetic ablation of BCL2L1 and pharmacological inhibition of BCL2L1 overcame or delayed resistance to EGFR-TKIs in vitro and in vivo. Overall, BCL2L1 is particularly important for tumor cell survival during the emergence of drug tolerance and the development of acquired resistance to EGFR-TKIs. Citation Format: Motohiro Izumi, Masanori Fujii, Vivian Ho, Ikei S. Kobayashi, Susumu S. Kobayashi. Comprehensive analysis with single-cell RNA sequence and spatial transcriptomics unravels distinctive expression profile of apoptotic-related genes in EGFR-mutated lung cancer [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 5826.

Abstract 7248: Simultaneous isolation and parallel analysis of genomic DNA and RNA for gene therapy

Abstract Introduction Viral vectors, such as adeno-associated vector (AAV), play a crucial role in delivering transgenes for gene therapy research. The success of vector transduction is vital for efficacy, which is measured through vector copy number (VCN) and transgene expression. In preclinical studies, both VCN and transgene expression are commonly tested from the same sample to ensure accuracy. We have reported a method for simultaneous high-quality genomic DNA and RNA extraction without splitting the sample, utilizing SPRI bead-based technology that has consistent performance across diverse tissue types and brain regions. Methods AAV was administered to mouse and non-human primate (NHP) models. At the conclusion of each experiment, tissue samples from the adrenal gland, brain, gonads, heart, kidney, liver, lung, skeletal muscle, spinal cord, and spleen were harvested. All tissue samples that demonstrated around 15 mm3 were snap-frozen in liquid nitrogen before nucleic acid extraction. The extraction process was carried out manually or on an automated liquid handler. The quality and quantity of DNA and RNA were then assessed from all tested tissues before downstream assay. Results Our study found that all mouse tissue types (n=72/tissue type) and NHP (n=11/tissue type) had an average gDNA and RNA yield that exceeded the minimum yield cutoff of 25 ng/μL for DNA and 6.25 ng/μL for RNA. We also analyzed DNA from tissues treated with two different AAV serotype-treated tissues in the mouse model, which showed that transduction across all the tissues was highly efficient for both AAV serotypes. Furthermore, we observed variations in transgene expression levels (copies/1 μg RNA) among different tissue types. Similar patterns of VCN and transgene expression were also observed in NHP models. Conclusions Efficient gene therapy depends on a safe and effective viral vector. The simultaneous extraction of gDNA and RNA simplifies the process, saves time, ensures quality, and facilitates integration into existing lab automation. This leads to consistent and error-resistant performance in analyzing vector copy and transgene levels. Citation Format: Han Wei. Simultaneous isolation and parallel analysis of genomic DNA and RNA for gene therapy [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 7248.

Abstract 5139: PD1-PDL1 interaction as a superior predictor for response to immune checkpoint therapy in NSCLC patients

Abstract Background: Immune checkpoint therapies (ICT) are now widely introduced in clinical oncology and most often guided by PDL1 expression in diagnostic biopsies. However, the predictive value of this testing is only modest, leading to over- and undertreatment. Conceptually, the prevention of binding of ligand PDL1 to PD1 receptor is decisive for the efficacy of ICT. Therefore, directly detecting the spatial PD1-PDL1 interaction would provide more predictive information. Methods: A second-generation in situ proximity ligation assay (isPLA; Navinci Diagnostics) was established to detect PD1-PD-L1 interactions in diagnostic patient samples and linked to an automated analysis pipeline (QuPath). For basic validation, we used pan-cancer tissue microarrays (TMA) including 16 solid tumor types, and a non-small cell lung cancer (NSCLC) TMA (359 ICT-naïve surgically treated patients). In addition, we analyzed diagnostic tissue biopsies from 75 advanced NSCLC patients treated with anti-PD1-PDL1 regiments. Results: The pan-cancer analysis revealed varying levels of PD1-PDL1 interaction among the solid cancer types, with the lowest levels detected in liver cancer and the highest in testicular cancer. A general positive association was observed between the literature-reported objective ICT response rate (ORR) per tumor type and its corresponding PD1-PDL1 interaction status. Conventional immunohistochemical analysis of the ICT-naïve, surgically treated NSCLC cohort revealed variable protein expression level for both, PDL1 and PD1, for 200 cases, but only 108 (54%) of them demonstrated a detectable PD1-PDL1 interaction with our isPLA assay. EGFR mutated cases showed generally lower PD1-PDL1 interaction scores (p=0.01). PD1-PDL1 interaction was not associated with survival (p=0.46). A subsequent analysis of the ICT-NSCLC cohort revealed a significant positive association between PD1-PDL1 interaction status and prolonged overall survival upon ICT (median survival 14.8 vs 32.3 months; p=0.022). The standard tumor proportional score (TPS) of membranous PDL1 expression did not correlate with ICT-specific survival (p=0.40). Conclusions: The second generation isPLA successfully distinguishes a previously difficult-to-define patient subset with positive PD1-PDL1 interaction status. Our data suggest that the PD1-PDL1 interaction is a superior clinical biomarker for patient selection for ICT in NSCLC. The interaction analysis is applicable to sections from minute diagnostics biopsies and accessible by light microscopy either semi-quantitatively by a pathologist or by an automated image analysis program. Thus, the assay holds great potential to be integrated into routine clinical pathological workflow to stratify cancer patients for ICT. Citation Format: Patrick Micke, Amanda Lindberg, Rebecca Artursson, Louise Hellberg, Hui Yu, Max Backman, Johan Botling, Hans Brunnström, Artur Mezheyeuski, Johan Isaksson, Carina Strell. PD1-PDL1 interaction as a superior predictor for response to immune checkpoint therapy in NSCLC patients [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 5139.

Abstract 4190: Patient-derived xenograft (PDX) models with differential HER2 expression for preclinical evaluation of HER2-targeted therapies

Abstract Human epidermal growth factor receptor 2 (HER2) is a critical therapeutic target in gastric cancer. However, the varying expression levels of HER2 in patients present a significant challenge in selecting the appropriate HER2-targeted therapies. Patient-derived xenograft (PDX) models offer a valuable tool to address this clinical concern. We established a panel of PDX models derived from gastric cancer patients, each representing a distinct range of HER2 expression levels. These models were subsequently treated with HER2-targeted drugs, including Trastuzumab (Herceptin), Margetuximab, and Enhertu. Our results demonstrated differential drug responses corresponding to the varying HER2 expression levels in the PDX samples. Trastuzumab, Margetuximab, and Enhertu exhibited distinct efficacies across the HER2 expression spectrum. This underscores the significance of selecting the right therapeutic approach based on the HER2 status of individual patient. Our collection of PDX models with differential HER2 expression levels provides a robust platform for preclinical evaluation of HER2-targeted therapies. This approach not only addresses the clinical challenge of HER2 heterogeneity but also facilitates a more personalized and effective treatment strategy for gastric cancer patients. Citation Format: Xiaoliu Yang, Shiying Guo, Huiyi Wang, Xu Su, Jing Zhao, Xiang Gao, Cunxiang Ju. Patient-derived xenograft (PDX) models with differential HER2 expression for preclinical evaluation of HER2-targeted therapies [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 4190.

Abstract 5448: Malignant RNA editing by inflammation-responsive RNA editase ADAR1 drives T-cell leukemia relapse via attenuating dsRNA sensing

Abstract Leukemia-initiating cells (LICs) play a crucial role in leukemia research and treatment, being considered the source of relapse and resistance, posing a substantial challenge for successful management of the disease. It's crucial to identify the key factors that drive LIC self-renewal to develop targeted methods for eliminating LICs and preventing relapse. In this study, we demonstrate that the RNA editing enzyme ADAR1 plays a vital role as a determinant of stemness, promoting LIC self-renewal by reducing the detection of abnormal double-stranded RNA (dsRNA). As a result, ADAR1-knockdown significantly impairs the ability of LICs to self-renew and extends survival in T-ALL PDX models. We performed RNA-seq studies on enriched T-ALL LICs (CD34+Lin-). The lentivirus-to-cell ratio was optimized to achieve a 50% reduction in ADAR1, resulting in differential expression of 661 genes, with downregulation of critical self-renewal genes in ADAR1-deficient leukemia-initiating cells. Importantly, additional data indicated that ADAR1 likely influences self-renewal gene expression independently of A-to-I RNA editing, revealing novel regulatory mechanisms in leukemia. Knockdown of MDA5 and ADAR1 in patient-derived xenograft (PDX) T-ALL leukemia-initiating cells (LICs) revealed diverse rescue effects on self-renewal in different PDX models. The differential response was associated with variations in gene expression patterns in Rig-I-Like signaling and cytosolic sensing pathways, suggesting intrinsic differences in IFN signaling properties among patients. Moreover, the study proposes a patient-specific reliance on the ADAR1 p150-MDA5 axis for promoting self-renewal, as evidenced by differential rescue effects and varying expression levels of ADAR1 isoforms and MDA5 in T-ALL patient samples and cell lines. ADAR1, beyond its role in RNA editing, acts as a dsRNA binding protein, exerting RNA editing-independent functions to suppress aberrant IFN signaling and promote cancer progression. Using Jurkat cells with high intrinsic MDA5 levels, an ADAR1 knockout (KO) was generated, revealing that ADAR1 is upregulated by IFN treatment, predominantly the p150 isoform. We explored the dual roles of ADAR1—RNA editing-dependent and -independent—in suppressing IFN-induced apoptosis, demonstrating the necessity of both for optimal function. Additionally, ADAR1 was found to suppress cytoplasmic dsRNA sensing pathways, such as RIG-I and PKR, and its RNA editing-independent activity contributes significantly to the suppression of interferon-stimulated gene (ISG) expression in T-ALL. In summary, our findings reveal that ADAR1 acts as a factor that promotes self-renewal while limiting the recognition of naturally occurring dsRNA. Therefore, targeting ADAR1 emerges as a safe and effective therapeutic approach for eradicating LICs in T-ALL. Citation Format: Maria Dolores Rivera, Haoran Zhang, Qingchen Zhou, Jessica Pham, Jane Isquith, Roman Sasik, Adam Mark, Sabina Enlund, Frida Holm, Ma Wenxue, Kathleen Fisch, Dennis Kuo, Catriona Jamieson, Qingfei Jiang. Malignant RNA editing by inflammation-responsive RNA editase ADAR1 drives T-cell leukemia relapse via attenuating dsRNA sensing [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 5448.

Abstract 5488: AI-enhanced spatial proteomics reveals B-cells &amp; FoxP3+ cells interactions in HPV(+) oropharyngeal squamous cell carcinoma Progression

Abstract Background: Analyzing interactions and the microanatomical distribution of the tumor immune microenvironment (TIME) is essential for a comprehensive understanding of tumor progression. Imaging Mass Cytometry (IMC) is a high-dimensional tissue imaging system that enables the deeper and multiparametric in situ exploration of tumor microenvironments at a single-cell level. This study describes a pipeline for analyzing 39-plex IMC images of human HPV(+) oropharyngeal squamous cell carcinoma (OPSCC) tumor sections, elucidating immune cells' nature, functions, and interactions with tumor cells. The IMC data analysis provides valuable information for clinical studies that could be used for the identification of prognostic biomarkers and mechanisms of resistance to current immunotherapies. Methods: A retrospective study was conducted on (N=20) patients (10 progressors and 10 non-progressors) with HPV(+) OPSCC. The dataset comprises paired hematoxylin and eosin (H&amp;E) images with IMC data from multiple Regions of Interest (ROIs) (N=82), enabling the in-situ profiling of 39 proteins in primary tumor tissue. Cell segmentation was followed by employing original images and their segmentation masks for cell phenotype identification using a probabilistic neural network method to spatially profile cancer cells, macrophages, NK-M cells, B-cells, and distinct T-cell populations. We identified protein expression at single-cell resolution and investigated the impact of multicellular spatial organization on the disease progression. The spatial neighborhood interaction score of tumor cells with various other cells was computed for all the ROIs across the two groups. Results: The markers showed varying expression levels of intensity distribution, likely due to differences in tissue sample composition. Specifically, CD3, CD4, CD8, CD19, CD20, and CD68 showed significantly higher intensity in non-progressors. Interestingly, FoxP3 also had a significantly higher intensity level in non-progressors. Cell phenotyping emphasized that non-progressors generally have increased levels of NK-M cell markers. Spatial analysis revealed a significant increase in interaction between CD3 cells and tumor cells in non-progressors (p-value=0.07, Mann-Whitney U test). Furthermore, a significant rise in the interaction between B-cells and FoxP3+ cells was observed in non-progressors (p-value&amp;lt;0.05, Mann-Whitney U test) suggesting a coordinated suppression of tumor growth. Conclusion: We developed a deep learning-based pipeline to analyze spatial relationships in the TIME of IMC data, demonstrating its clinical relevance in predicting disease progression. Our findings emphasize the importance of spatial relationships in the TME for response and suggest that proximity between either CD3+ T-cells to cancer cells or B-cells to FoxP3+ cells are candidate biomarkers. Citation Format: Sumanth Reddy Nakkireddy, Routman David, Kathleen Bartemes, Daniel Ma, Tae Hyun Hwang, Kathryn Van Abel, Chadi Nimeh Abdel-Halim. AI-enhanced spatial proteomics reveals B-cells &amp; FoxP3+ cells interactions in HPV(+) oropharyngeal squamous cell carcinoma Progression [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 5488.