Adjacent Tissue Samples Research Articles

Mitotic spindle positioning protein serves as prognostic biomarker in patients with colorectal cancer

Background Colorectal cancer (CRC) ranks among the most aggressive types of cancer globally. Currently, clinical tumor prognostic biomarkers still lack accuracy. Mitotic spindle positioning (MISP) protein connects microtubules to the actin cytoskeleton and adhesive plaques, playing a critical role in spindle positioning, orientation, and the process of cell division. MISP can regulate the malignant biological functions of pancreatic cancer and intrahepatic cholangiocarcinoma and it acts as biomarker for prognosis, but its role in CRC remains unclear. Methods This study has collected 37 CRC tissue samples and 37 corresponding adjacent nontumor tissue samples, and 57 additional CRC tissues samples. Clinical data were obtained from the patients with CRC. MISP mRNA and protein expression levels were analyzed in normal control and CRC tissues using the GEPIA and Human Protein Atlas website. MISP protein levels in the collected tissues were analyzed using immunohistochemistry. Results MISP mRNA and protein expression levels were significantly increased in CRC tissues compared to adjacent nontumor tissues. Higher MISP protein levels were associated with distant metastasis, recurrence, and lower survival rates. Kaplan–Meier analysis showed that high expression levels of MISP protein were associated with recurrence and death in CRC patients. In addition, a high expression level of MISP protein, lymph node metastasis, and distance metastasis were risk factors for recurrence and a poor prognosis in patients with CRC. Conclusion Elevated MISP protein correlated with tumor metastasis, recurrence, and lower survival rates in patients with CRC, and thus, MISP has the potential to become a prognostic marker for CRC.

Overexpression of CDC25A, AURKB, and TOP2A Genes Could Be an Important Clue for Luminal A Breast Cancer.

Breast cancer (BC) is highly heterogeneous and one of the most common cancers. Luminal A (LUM A) is a subtype of BC with a better prognosis than other BC subtypes. The molecular mechanisms underlying the initiation and progression of the LUM A subtype are still unclear. Big data generated from microarray and sequencing systems can be re-analyzed, especially with the help of various in silico tools developed in recent years, and made applicable for in vitro and in vivo research. This work aimed to identify genes that may play a role in the progression of LUM A subtype of BC using both computational and laboratory-based methods. Overlapping genes associated with BC were identified from the The Cancer Genome Atlas database, GSE233242, GSE100925 geodata sets, and the geneshot tool. The network functional analysis between overlapping genes was determined with STRING 12.0. Expression levels of overlapping genes in BC were investigated with the TNMplot (https://tnmplot.com/analysis/) in silico tool. The effect of overlapping genes on the overall survival of LUM A cancer patients was defined using the Kaplan-Meier plotter tool. Expressions of genes identified using bioinformatics data were investigated via quantitative real-time -polymerase chain reaction (qRT-PCR) in LUM A tumor and adjacent tissue samples. The data were evaluated using the t-test. Both the sensitivity and specificity of selected genes have been determined using the receiver operating characteristic curve. In silico investigation showed that eleven genes were possibly associated with BC. Among them CDC25A, AURKB, and TOP2A were considerably increased in LUM A samples according to qRT-PCR results. An overall survival analysis also showed that overexpression of these three genes could reduce the overall survival of LUM A patients. The genes CDC25A, AURKB, and TOP2A may play crucial functions in LUM A pathogenesis. Therapeutic strategies that diminish the expression of these connected genes may enhance the prognosis of LUM A patients.

Impacts of DROSHA (rs10719) and DICER (rs3742330) Variants on Breast Cancer Risk and Their Distribution in Blood and Tissue Samples of Egyptian Patients.

MicroRNAs (miRNAs) are small, noncoding RNAs that regulate gene expression and play critical roles in tumorigenesis. Genetic variants in miRNA processing genes, DROSHA and DICER, have been implicated in cancer susceptibility and progression in various populations. However, their role in Egyptian patients with breast cancer (BC) remains unexplored. This study aims to investigate the association of DROSHA rs10719 and DICER rs3742330 polymorphisms with BC risk and clinical outcomes. This case-control study included 209 BC patients and 106 healthy controls. Genotyping was performed using TaqMan assays in blood, tumor tissue, and adjacent non-cancerous tissue samples. Associations were analyzed using logistic regression and Fisher's exact test. The DROSHA rs10719 AA genotype was associated with a 3.2-fold increased risk (95%CI = 1.23-9.36, p < 0.001), and the DICER rs3742330 GG genotype was associated with a 3.51-fold increased risk (95%CI = 1.5-8.25, p = 0.001) of BC. Minor allele frequencies were 0.42 for rs10719 A and 0.37 for rs3742330 G alleles. The risk alleles were significantly more prevalent in tumor tissue than adjacent normal tissue (rs10719 A: 40.8% vs. 0%; rs3742330 G: 42.7% vs. 0%; p < 0.001). However, no significant associations were observed with clinicopathological features or survival outcomes over a median follow-up of 17 months. In conclusion, DROSHA rs10719 and DICER rs3742330 polymorphisms are associated with increased BC risk and more prevalent in tumor tissue among our cohort, suggesting a potential role in miRNA dysregulation during breast tumorigenesis. These findings highlight the importance of miRNA processing gene variants in BC susceptibility and warrant further validation in larger cohorts and different ethnic populations.

CD276 as a promising diagnostic and prognostic biomarker for bladder cancer through bioinformatics and clinical research.

To assess CD276 expression and explore its relationship with the clinicopathological characteristics and prognosis of patients with bladder cancer. In total, RNA-sequencing data and clinical profiles of 436 bladder cancer cases from The Cancer Genome Atlas (TCGA) were assessed using the University of California Santa Cruz Xena (UCSC) platform. We compared the CD276 levels in cancerous and adjacent normal tissues and used the R software for statistical association with the clinical stage, grade, and survival (the overall survival, disease-specific survival, and progression-free survival). A single-gene GSEA analysis on TCGA-BLCA data was performed to explore potential pathways through which CD276 might influence bladder cancer. Additionally, CD276 expression was analyzed by comparing data from 9 cancerous tissues and 3 adjacent normal tissues in the GEO dataset GSE7476. Furthermore, we analyzed 133 cancerous bladder and adjacent tissue samples from the Soochow University Hospital, collected between January 1, 2016, and September 30, 2022, to assess the CD276 protein expression using immunohistochemistry. We examined the relationship between tumor CD276 levels and clinical outcomes and prognosis of bladder cancer. Bioinformatic analysis revealed elevated CD276 expression in tumors compared to that in adjacent tissues (p<0.05), correlating with poor survival. GSEA revealed that CD276 was significantly involved in extracellular matrix-related pathways. Immunohistochemistry confirmed CD276 overexpression in tumor tissues, with higher levels linked to advanced pathological grades and worse prognosis. CD276 is markedly upregulated in bladder cancer and associated with severe pathological features, advanced disease, potential for metastasis, and diminished survival rates. It may promote bladder cancer development and progression by influencing extracellular matrix-related-related pathways, making it a viable diagnostic and prognostic biomarker for bladder cancer.

Evaluation of UCA1/miR-138/CDK6 Network in the Patients with Laryngeal Squamous Cell Carcinoma

Objective: Noncoding RNAs (ncRNAs) have the potential to be diagnostic and therapeutic targets, in many cancer types. miRNA ‐ mRNA ceRNA (competing endogenous RNA) network in cancer has been an interesting topic that has been studied in recent years. We aimed to investigate the relationship of UCA1/miR-138/CDK6 network with laryngeal squamous cell carcinoma (LSCC). Material and Methods: We studied with the cancerous tissue and as the control; neighboring normal tissue samples of the patients with diagnosis of LSCC. UCA1, miR-138 and CDK6 expression analysis was made by quantitative real-time PCR (qRT-PCR) method after RNA isolation of the samples. Results: Expressions of cancerous tissue samples and normal adjacent tissue samples as controls were compared. CDK6 and UCA1 levels were increased and miR-138 levels were found to be decreased in cancer tissues but not statistically significant. Conclusions: To the best of our knowledge there is no study to provide an expression profile of the UCA1/CDK6/miR-138 network for LSCC patients. Although we could not obtain statistically significant results, our results were similar with the UCA1, miR‐138, and CDK6 axis literature. Further studies with larger patient samples and LSCC cell lines may confirm the function of this axis, which might be a diagnostic and therapeutic target for LSCC.

Tumor-associated fibroblasts promotes proliferation and migration of prostate cancer cells by suppressing FBXL3 via upregulating hsa-miR-18b-5p

To explore the mechanism of tumor-associated fibroblasts (CAFs) for regulating proliferation and migration of prostate cancer (PCa) cells. We conducted a bioinformatics analysis to identify miRNAs with high expression in PCa. The proliferation, migration and hsa-miR-18b-5p expression levels were observed in PCa cells co-cultured with CAFs. We further examined hsa-miR-18b-5p expression level in 20 pairs of PCa and adjacent tissue samples and in different PCa cell lines and normal epithelial cells using RT-qPCR. In PCa cell lines C4-2 and LNCAPNC, the effects of transfection with a hsa-miR-18b-5p inhibitor on cell proliferation, migration, invasion, drug resistance, apoptosis and cell cycle were evaluated, and the effects of has-miR-18b-5p knockdown on C4-2 cell xenograft growth and mouse survival were observed in nude mice. Dual luciferase reporter gene assay was used to validate the targeting relationship between hsa-miR-18b-5p and its target genes, whose expressions were detected in PCa cells using RT-qPCR and Western blotting. The expression of hsa-miR-18b-5p was significantly increased in the co-culture of CAFs and PCa cell lines, which exhibited significantly enhanced proliferation and migration abilities. Transfection with has-miR-18b-5p inhibitor strongly attenuated the effect of CAFs for promoting proliferation and migration of PCa cells, and in C4-2 and LNCAP cells cultured alone, inhibition of hsa-miR-18b-5p obviously suppressed cell proliferation, migration, invasion, and drug resistance. In the tumor-bearing mice, hsa-miR-18b-5p knockdown in the transplanted cells significantly inhibited xenograft growth and increased the survival time of the mice. Target gene prediction suggested that FBXL3 was a potential target of hsa-miR-18b-5p, and dual luciferase reporter gene confirmed a binding site between them. In C4-2 and LNCAP cells, hsa-miR-18b-5p knockdown resulted in significantly increased expression levels of FBXL3. CAFs promotes proliferation and migration of PCa cells by up-regulating hsa-miR-18b-5p to suppress FBXL3 expression.

Multi-omics analysis of the prognostic and biological role of cuproptosis-related gene in gastric cancer.

A considerable number of gastric cancer (GC) patients cannot receive benefits from current treatments. We aimed to identify possible biomarkers of cuproptosis-related genes (CRGs) in GC patients, which may help guide precision medicine-based decision-making. RNA sequencing data, copy number variations (CNVs) data, and single nucleotide variant (SNV) data were obtained from The Cancer Genome Atlas (TCGA) database and Gene Set Cancer Analysis (GSCA) database. Chi-squared test was adopted to screen differentially expressed CRGs (DE-CRGs) between samples from 14 kinds of carcinoma and adjacent tissue samples. Then, GC samples were divided into high- and low-expressed groups based on DE-CRGs for further survival analyses and the selection of biomarkers. Methylation sites related with biomarkers were acquired. The correlation between immune cells and biomarkers was verified. Finally, miRNA-mRNA, TFs-mRNA, and co-expression networks were established to detect factors with regulating effects on biomarkers. Three CRGs including LIAS, GLS, and CDKN2A were identified as biomarkers in GC patients. Three methylation sites with a significant survival effect including cg13601799, 07562918, and 07253264 were acquired. Then, we found that B cells native was significantly correlated with CDKN2A, four immune cells such as T cells regulatory are significantly correlated with GLS, and two immune cells such as T cells CD4 memory activated were significantly correlated with LIAS. Moreover, 10 miRNAs in the miRNA-mRNA network and three transcription factors (TFs) in the TFs-mRNA network had a significant correlation with overall survival (OS). Finally, 20 enrichment functions were obtained on the basis of the co-expression network. Three biomarkers with a prognosis prediction value of GC were found, and multi-factor regulatory networks were constructed to screen out 13 factors with regulating influences of biomarkers.

Clinicopathological Factors as Predictors for Establishment of Patient Derived Head and Neck Squamous Cell Carcinoma Organoids

IntroductionPatient derived organoids (PDOs) are 3D in vitro models and have shown to better reflect patient and tumor heterogeneity than conventional 2D cell lines. To utilize PDOs in clinical settings and trials for biomarker discovery or drug response evaluation, it is valuable to determine the best way to optimize sample selection for maximum PDO establishment. In this study, we assess patient, tumor and tissue sampling factors and correlate them with successful PDO establishment in a well-documented cohort of patients with head and neck squamous cell carcinoma (HNSCC).MethodsTumor and non-tumorous adjacent tissue samples were obtained from HNSCC patients during routine biopsy or resection procedures at the University Medical Center Utrecht. The tissue was subsequently processed to establish PDOs. The sample purity was determined as the presence of epithelial cells in the culture on the day of organoid isolation as visualized microscopically by the researcher. PDO establishment was recorded for all samples. Clinical data was obtained from the medical records and was correlated to PDO establishment and presence of epithelial cells.ResultsOrganoids could be established in 133/250 (53.2%) primary tumor site tissues. HNSCC organoid establishment tended to be more successful if patients were younger than the median age of 68 years (74/123 (60.2%) vs. 59/127 (46.5%), p = 0.03). For a subset of samples, the presence of epithelial cells in the organoid culture on the day of organoid isolation was recorded in 112/149 (75.2%) of these samples. When cultures were selected for presence of epithelial cells, organoid establishment increased to 76.8% (86/112 samples).ConclusionThis study found a trend between age and successful organoid outgrowth in patients with HNSCC younger than 68 years and emphasizes the value of efficient sampling regarding PDO establishment.

Small nucleolar RNA expression profiles: A potential prognostic biomarker for non-viral Hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a challenging cancer with high mortality rates, limited predictability, and a lack of effective prognostic indicators. The relationship between small nucleolar RNAs (snoRNAs) and HCC is poorly understood. Based on the literature data, snoRNA studies were primarily focused on viral-related causes of HCC, such as Hepatitis B or C viruses (HBV or HCV). According to these studies, we selected four snoRNAs (snoRA12, snoRA47, snoRA80E, and snoRD126) for exploration in the context of non-viral-related causes, including non-alcoholic steatohepatitis (NASH), non-alcoholic fatty liver diseases (NAFLD), and alcohol steatohepatitis. The primary goal of this study was to gain a deeper understanding of how snoRNA expression affects patient outcomes and whether it can serve as a prognostic tool for non-viral HCC. We conducted a study on tissue samples from 35 HCC patients who had undergone resection at Pilsen University Hospital. SnoRA12, snoRA47, snoRA80E, and snoRD126 were studied by quantitative real-time PCR (qRT-PCR) in tumor and non-tumor adjacent tissue (NTAT) samples. Kaplan-Meier analysis was performed to assess the association of snoRNAs expression levels with patient outcomes: time to recurrence (TTR), disease-free survival (DFS) and overall survival (OS). In tumor tissues, snoRA12, snoRA47 and snoRA80E were upregulated, while snoRD-126 was downregulated compared to NTAT. Low expression of snoRA47 and snoRD126 in patients was associated with longer TTR and DFS. The individual expression of snoRA12 and snoRA80E did not show associations with TTR and DFS. However, a combination of medium expression of snoRD126 and snoRA80E was associated with longer TTR and DFS, while high and low expressions of the combined snoRA126 and snoRA80E showed no significant association with TTR, DFS, and OS. Conversely, a combination of high expression of snoRA12 and snoRD126 was associated with shorter TTR. In conclusion, the results indicate that snoRA47 and snoRD126 exhibit good prognostic power specifically for non-viral related HCC. Both snoRA47 and snoRD126 showed favorable prognostication in single and combined analysis when assessing patient outcomes. Also, in combination analysis, snoRA80E and snoRA12 showed favorable prognosis, but not alone.

Research progress of circRNA as a biomarker of osteoporosis.

Osteoporosis, as a chronic metabolic bone disease, has the characteristic of insidious disease progression, which often leads to relatively delayed disease diagnosis. Therefore, early screening for osteoporosis has become a major public health challenge. The latest research indicates that circRNA is widely involved in the regulation of bone metabolism and is closely related to the occurrence and development of osteoporosis. Based on its high degree of sequence conservation and stability, circRNA has the potential to become a new clinical biomarker. The study of biomarkers is generally based on body fluid samples or adjacent tissue samples, with blood being the most commonly used, which can be divided into sources such as serum, plasma, peripheral blood monocytes, and plasma exosomes. Therefore, this article aims to review the research status of circRNA as a biomarker of osteoporosis.

Multi-omics characterization of esophageal squamous cell carcinoma identifies molecular subtypes and therapeutic targets.

Esophageal squamous cell carcinoma (ESCC) is the predominant form of esophageal cancer and is characterized by an unfavorable prognosis. To elucidate the distinct molecular alterations in ESCC and investigate therapeutic targets, we performed a comprehensive analysis of transcriptomics, proteomics, and phosphoproteomics data derived from 60 paired treatment-naive ESCC and adjacent nontumor tissue samples. Additionally, we conducted a correlation analysis to describe the regulatory relationship between transcriptomic and proteomic processes, revealing alterations in key metabolic pathways. Unsupervised clustering analysis of the proteomics data stratified patients with ESCC into 3 subtypes with different molecular characteristics and clinical outcomes. Notably, subtype III exhibited the worst prognosis and enrichment in proteins associated with malignant processes, including glycolysis and DNA repair pathways. Furthermore, translocase of inner mitochondrial membrane domain containing 1 (TIMMDC1) was validated as a potential prognostic molecule for ESCC. Moreover, integrated kinase-substrate network analysis using the phosphoproteome nominated candidate kinases as potential targets. In vitro and in vivo experiments further confirmed casein kinase II subunit α (CSNK2A1) as a potential kinase target for ESCC. These underlying data represent a valuable resource for researchers that may provide better insights into the biology and treatment of ESCC.

Overexpression of WT1 in all molecular subtypes of breast cancer and its impact on survival: exploring oncogenic and tumor suppressor roles of distinct WT1 isoforms.

Breast cancer is a highly heterogeneous solid tumor, posing challenges in developing targeted therapies effective for all mammary carcinoma subtypes. WT1 emerges as a promising target for breast cancer therapy due to its potential oncogenic role in various cancer types. Previous works have yielded inconsistent results. Therefore, further studies are needed to clarify the behavior of this complex gene in breast cancer. In this study, we examined WT1 expression in both Formalin Fixed Paraffin Embedded breast tumors (n = 41) and healthy adjacent tissues (n = 41) samples from newly diagnosed cases of ductal invasive breast cancer. The fold change in gene expression between the tumor and healthy tissue was determined by calculating 2-∆∆Ct. Disease-free survival analysis was computed using the Kaplan-Meier method. To identify the expression levels of different WT1 isoforms, we explored the ISOexpresso database. Relative quantification of the WT1 gene revealed an overexpression of WT1 in most cases. The percentage of patients surviving free of disease at 8years of follow-up was lower in the group overexpressing WT1 compared to the group with down-regulated WT1. Interestingly, this overexpression was observed in all molecular subtypes of invasive breast cancer, underscoring the significance of WT1 as a potential target in all these subtypes. The observed WT1 down-expression in a few cases of invasive breast cancer, associated with better survival outcomes, may correspond to the down-regulation of a particular WT1-KTS (-) isoform: the WT1 A isoform (EX5-/KTS-). The co-expression of this WT1 oncogenic isoform with a regulated WT1- tumor suppressor isoform, such as the major WT1 F isoform (EX5-/KTS +), could also explain such survival outcomes. Due to its capacity to adopt dual roles, it becomes imperative to conduct individual molecular expression profiling of the WT1 gene. Such an approach holds great promise in the development of personalized treatment strategies for breast cancer.

TROVE2 regulated invasion and migration of hepatocellular carcinoma cells via heparanase

Abstract Background The role of TROVE domain family member 2 (TROVE2) has been well-demonstrated in autoimmune diseases; however, its involvement in liver cancer remains unclear. Therefore, this study aimed to explore the biological function and clinical significance of TROVE2 in hepatocellular carcinoma (HCC). Methods The expression level of TROVE2 was analyzed in HCC and paired adjacent tissue samples using real-time reverse transcription-quantitative polymerase chain reaction. The impact of TROVE2 on migration and invasion in HCC cells was analyzed through Transwell assays and Western blotting. High-throughput transcriptome sequencing and bioinformatics analyses were performed to identify downstream target genes. Back-complementation experiments were employed to verify the influence of downstream proteins on TROVE2-induced invasion and migration of HCC cells. Results TROVE2 exhibited significant overexpression in liver cancer tissue, correlating with shorter overall survival. Overexpression of TROVE2 facilitated the invasion, metastasis, and epithelial-mesenchymal transition (EMT) process of HCC cells, whereas TROVE2 knockdown restrained migration, invasion, and EMT in these cells. Transcriptome sequencing and bioinformatics analysis identified heparanase (HPSE) as a downstream target protein of TROVE2. Subsequent back-complementation experiments provided evidence that HPSE overexpression promoted TROVE2-mediated prometastasis effects. Moreover, the study revealed that TROVE2 was capable of regulating the EMT pathway through GSK-3β phosphorylation. Conclusions TROVE2 facilitated the invasion, migration, and EMT process of HCC cells through phosphorylation of the HPSE/GSK-3β axis, indicating its significance as an important protein in tumor progression.

Abstract 1024: Differential gene expression of colorectal cancer biomarkers in Hispanic individuals

Abstract Colorectal cancer (CRC) is a leading cause of cancer death among men and women in Puerto Rico and the United States. About 60-70% of CRC cases are found at advanced stages (III/IV), suggesting limited adherence to available screening methods. Several molecular biomarkers have been identified as discriminatory for CRC (e.g., KRAS, NRAS, MSI), improving CRC management and patient outcomes. This study evaluates the differential expression patterns of DKK3, PKM2, IGFBP2, and SEPT9 genes between matched CRC tumors and adjacent mucosa samples. The secondary outcome was to examine the association between the presence of the selected biomarkers in tissue compared to blood samples. Using a retrospective study design, we examined 112 tissue samples of Hispanic individuals with a pathology-confirmed CRC diagnosis recruited throughout the Puerto Rico Familial Colorectal Cancer Registry (PURIFICAR). We quantified expression levels of target genes by RT-qPCR normalized with endogenous control GAPDH, using TaqMan Gene Expression Assay in the QuantStudio 3 (Applied Biosystems). Wilcoxon signed-rank test was used to calculate differences between gene expression from tumor and adjacent mucosal tissue samples. Additionally, 39 paired blood and tissue samples were analyzed to explore the association between biomarkers in these two types of samples. Protein biomarkers were measured using a commercially available ELISA kit according to manufacturer protocols (Thermo Scientific Federick, MD and Biosource San Diego, CA). mSEPT9 was measured using the Epi proColon® 2.0 CE test. The association between biomarker presence in tissue and blood samples was assessed using the Chi-square test of independence, with biomarker concentrations dichotomized at the median value. Statistical analyses were performed using Stata 17 and R version 4.3.1. DKK3 and IGFBP2 expression levels were higher among CRC tumor samples. However, expression levels of PKM2 and SEPT9 genes were slightly lower. DKK3 was the only target gene significantly different (p&amp;lt;0.05) when comparing overall gene expression between the matched samples. Upon comparison between early and advanced CRC stages, DKK3 expression levels were higher in advanced-stage tumor samples when compared to adjacent mucosal tissue samples (p&amp;lt;0.05). Moreover, a significant association between IGFBG2 presence in tissue compared to blood was detected at a 90% confidence level (p-value&amp;lt;0.10). This association was evident in early-stage CRC cases; there is a relationship between IGFBG2 biomarker presence in tissue and IGFBG2 biomarker presence in blood (p&amp;lt;0.05). Our findings indicate DKK3 and IGFBP2 as potential biomarkers for CRC progression and early detection. The study’s insights into the differential expression patterns of these biomarkers can inform targeted screening strategies. Further research is needed to assess their potential to enhance early tumor detection in Hispanics. Citation Format: Elba V. Caraballo-Rivera, Hilmaris Centeno-Girona, Gabriel De Jesus-Astacio, Camille Zenon-Melendez, Brenda Torres-Velasquez, Madeline Martir-Ocasio, Marcia R. Cruz-Correa. Differential gene expression of colorectal cancer biomarkers in Hispanic individuals [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 1024.

Abstract 1694: Using high-throughput screening to identify DNA response elements that sense cancer dysregulated pathways

Abstract Earli is developing a highly sensitive, orthogonal approach that is designed to be delivered via IV injection and uses a genetic construct to usurp dysregulated pathways, and actively forces cancer cells to drive the expression of a detectable ‘synthetic’ biomarker. The key element of our cancer-activated construct that drives specificity and sensitivity of expression is a promoter sequence, synthetically engineered to leverage transcription factors (TFs) activated in cancer pathways. Acting as a molecular sensor for dysregulated TF levels, the DNA construct expresses a measurable biomarker in cancer cells, while remaining transcriptionally silent in normal adjacent tissues and benign lesions. Previously, we described a multiomics factor analysis (MOFA) to interrogate 200 non-small cell lung cancer (NSCLC) and matched normal adjacent tissue samples comprised of RNA-seq based transcriptional profiling, and MS-based proteomics and phospho-proteomics from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) dataset, and generated a list of top TFs dysregulated in NSCLC. In this study, we show the capability to design, engineer, and test cancer specific activity of combinations of response elements using a Massively Parallel Reporter Assay (MPRA) high-throughput pooled screening (HTS) method. More than 2,000 unique sequences of homotypic or heterotypic TF binding sites corresponding to the top 100 TFs were arrayed with diverse spacing and individually barcoded for the high-throughput screens in NSCLC cell lines. To validate our top hits, we individually tested 10 sequences from the top 25% and 8 sequences from the bottom 25%. Nine of the top sequences produced signals 5-10X higher than the background, whereas only one of the eight bottom sequences produced signal higher than the background. We have individually validated 30 different response elements and found that 28 of 30 drove the expected expression, with the majority of response elements (n=20) showing expression 5-10X higher than background. Remarkably, two of the engineered response elements were able to drive expression 20-30X higher in a specific cell line activated by WNT-signaling, suggesting that these response elements can sense specific cancer dysregulated pathways. Our lead response elements are being tested across a broad range of in vitro primary tumor lines with diverse genetic backgrounds and transcriptional profiles prior to in vivo testing using our imaging platform to distinguish malignant lung nodules. In summary, we have established a robust screening platform to identify response elements that can be activated by cancer dysregulated pathways. We are currently expanding this platform to other cancer models and indications, and leveraging this to explore more complex response elements that use combinations of TFs and natural spacing. Citation Format: Elizabeth Stroebele, Yue (Wendy) Zhang, Ishan Podar, Chloe Xia, Ajda Rojc, Dariusz Wodziak, Maggie Louie, David Suhy. Using high-throughput screening to identify DNA response elements that sense cancer dysregulated pathways [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 1694.

O266: Transcriptomic signature from spatially inferred histologically benign ancestral clone predicts high risk prostate cancer

Abstract Introduction Prostate cancer (PCa) is a multifocal disease driven by heterogenous spatial and temporal branching evolution of tumour clones. Spatial transcriptomic analysis has revealed, clonally distributed copy number alterations even in histologically benign regions. We aim to evaluate if the genetic signature comprised within these genetically aberrant histologically benign regions, or “ancestral clones” may predict presence of high-risk disease. Methods Fresh-frozen, radical prostatectomy specimen was profiled using the 10x Genomics Visium Spatial Gene Expression platform. Via hierarchical clustering, spatial tumour clonal relations were inferred. Differentially expressed genes (DEGs) between high-grade tumour and histologically benign ancestral clones were identified. DEGs (|log2FC|&amp;gt;0.75) were input into a LASSO regression algorithm with normalised mRNA expression of normal adjacent tissue from the TCGA PCa database to train a genetic risk model to predict presence of high risk PCa (Gleason&amp;gt;8). Derived risk score was validated on an external cohort (GSE21032). Results A total of 683 DEGs were identified. These were enriched for organic acid metabolic pathways. Regression analysis on 57 normal adjacent tissue samples from TCGA PCa dataset was performed to develop a predictive model comprising of 3 genes (SLC22A3, CRIP2, LSAMP). External validation of the genetic risk score on matched histologically benign tissue from 131 patients, had good performance for prediction of high-risk PCa (AUC 0.807; 95% CI 0.693-0.921). Conclusion Our model has good performance for predicting high-risk PCa from matched normal tissue. Developed genetic risk score has translational potential to improve detection of unsampled clinically significant prostate cancer from histologically benign biopsy cores.

Construction of an immune-related gene signature for overall survival prediction and immune infiltration in gastric cancer.

Treatment options for patients with gastric cancer (GC) continue to improve, but the overall prognosis is poor. The use of PD-1 inhibitors has also brought benefits to patients with advanced GC and has gradually become the new standard treatment option at present, and there is an urgent need to identify valuable biomarkers to classify patients with different characteristics into subgroups. To determined the effects of differentially expressed immune-related genes (DEIRGs) on the development, prognosis, tumor microenvironment (TME), and treatment response among GC patients with the expectation of providing new biomarkers for personalized treatment of GC populations. Gene expression data and clinical pathologic information were downloaded from The Cancer Genome Atlas (TCGA), and immune-related genes (IRGs) were searched from ImmPort. DEIRGs were extracted from the intersection of the differentially-expressed genes (DEGs) and IRGs lists. The enrichment pathways of key genes were obtained by analyzing the Kyoto Encyclopedia of Genes and Genomes (KEGGs) and Gene Ontology (GO) databases. To identify genes associated with prognosis, a tumor risk score model based on DEIRGs was constructed using Least Absolute Shrinkage and Selection Operator and multivariate Cox regression. The tumor risk score was divided into high- and low-risk groups. The entire cohort was randomly divided into a 2:1 training cohort and a test cohort for internal validation to assess the feasibility of the risk model. The infiltration of immune cells was obtained using 'CIBERSORT,' and the infiltration of immune subgroups in high- and low-risk groups was analyzed. The GC immune score data were obtained and the difference in immune scores between the two groups was analyzed. We collected 412 GC and 36 adjacent tissue samples, and identified 3627 DEGs and 1311 IRGs. A total of 482 DEIRGs were obtained. GO analysis showed that DEIRGs were mainly distributed in immunoglobulin complexes, receptor ligand activity, and signaling receptor activators. KEGG pathway analysis showed that the top three DEIRGs enrichment types were cytokine-cytokine receptors, neuroactive ligand receptor interactions, and viral protein interactions. We ultimately obtained an immune-related signature based on 10 genes, including 9 risk genes (LCN1, LEAP2, TMSB15A mRNA, DEFB126, PI15, IGHD3-16, IGLV3-22, CGB5, and GLP2R) and 1 protective gene (LGR6). Kaplan-Meier survival analysis, receiver operating characteristic curve analysis, and risk curves confirmed that the risk model had good predictive ability. Multivariate COX analysis showed that age, stage, and risk score were independent prognostic factors for patients with GC. Meanwhile, patients in the low-risk group had higher tumor mutation burden and immunophenotype, which can be used to predict the immune checkpoint inhibitor response. Both cytotoxic T lymphocyte antigen4+ and programmed death 1+ patients with lower risk scores were more sensitive to immunotherapy. In this study a new prognostic model consisting of 10 DEIRGs was constructed based on the TME. By providing risk factor analysis and prognostic information, our risk model can provide new directions for immunotherapy in GC patients.

Biomarker cystatin B expression correlates with pathogenesis in cervical cancer.

Cervical cancer (CC) is one of the most common gynecologic malignancies worldwide. Although rapid improvements have been made regarding its prevention and treatment, little is known about disease pathogenesis and the clinical relevance of reliable biomarkers. The present study evaluated the expression of cystatin B (CSTB) as a potential biomarker of CC. Tissue microarray analysis and immunohistochemical staining were performed to detect CSTB expression, while CSTB mRNA and protein expression levels of freshly isolated CC tissue were measured by quantitative real-time PCR and western blot, respectively. Bioinformatics were used to analyze the CSTB co-expression network and functional enrichments. We observed high CSTB mRNA and protein expression levels in CC tissues, which was confirmed by tissue microarray in a comparison with paired adjacent non-cancerous cervical tissue samples. CSTB gene enrichments and associations with co-expressed genes were also observed. Further analysis showed that elevated CSTB expression was associated with pathological progress in CC. Our data demonstrate that CSTB has the potential to be used as a tissue biomarker with clinical value in patients with CC, which may aid the development of intervention strategies.

KAT8/SIRT7-mediated Fascin-K41 acetylation/deacetylation regulates tumor metastasis in esophageal squamous cell carcinoma.

Fascin actin-bundling protein 1 (Fascin) is highly expressed in a variety of cancers, including esophageal squamous cell carcinoma (ESCC), working as an important oncogenic protein and promoting the migration and invasion of cancer cells by bundling F-actin to facilitate the formation of filopodia and invadopodia. However, it is not clear how exactly the function of Fascin is regulated by acetylation in cancer cells. Here, in ESCC cells, the histone acetyltransferase KAT8 catalyzed Fascin lysine 41 (K41) acetylation, to inhibit Fascin-mediated F-actin bundling and the formation of filopodia and invadopodia. Furthermore, NAD-dependent protein deacetylase sirtuin (SIRT) 7-mediated deacetylation of Fascin-K41 enhances the formation of filopodia and invadopodia, which promotes the migration and invasion of ESCC cells. Clinically, the analysis of cancer and adjacent tissue samples from patients with ESCC showed that Fascin-K41 acetylation was lower in the cancer tissue of patients with lymph node metastasis than in that of patients without lymph node metastasis, and low levels of Fascin-K41 acetylation were associated with a poorer prognosis in patients with ESCC. Importantly, K41 acetylation significantly blocked NP-G2-044, one of the Fascin inhibitors currently being clinically evaluated, suggesting that NP-G2-044 may be more suitable for patients with low levels of Fascin-K41 acetylation, but not suitable for patients with high levels of Fascin-K41 acetylation. © 2024 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

Diagnostic and prognostic significance of tissue lncRNA HOTAIR and hexokinase 2 mRNA expression in patients with pancreatic ductal adenocarcinoma

BackgroundPancreatic adenocarcinoma, recognized for its aggressive behavior and frequent late-stage diagnosis, imposes significant challenges in early detection and prognosis. This study aimed to evaluate the diagnostic and prognostic potential by measuring the expression levels of long non-coding RNA HOTAIR and the glycolytic enzyme hexokinase 2 (HK2) mRNA in both tumorous and adjacent non-tumorous pancreatic tissue samples (n = 25 each) using RT-qPCR. ResultsBoth lncRNA HOTAIR and HK2 expression levels significantly increased in tumorous pancreatic tissues compared to non-tumorous tissue (P = 0.001). However, their levels in stage T2 and T3 showed no statistically significant difference (P = 0.01). lncRNA HOTAIR and HK2 expression levels positively correlated with each other (P = 0.001; r = 0.95); however, no significant associations were found with serum tumor markers CA19-9 and CEA (P = 0.01; r = 005; p = 0.1, r = 0.2). ROC analysis demonstrated the significant abilities of both lncRNA HOTAIR and HK2 expression levels to discriminate between tumorous and non-tumorous pancreatic tissues (AUC = 0.92 and 0.84, respectively) with 96% and 88% sensitivity, and 72% and 40% specificity, respectively, at optimal cut-off values of 1.12 and 0.84 relative expression units. Patients with elevated lncRNA HOTAIR and HK2 expression had shorter median survival (8 and 7 months, respectively), increasing the risk of adverse outcomes or recurrence 4–4.8 times (HR = 4.08, p = 0.07; HR = 4.8, p = 0.01), thus emphasizing their prognostic potential in pancreatic cancer.ConclusionlncRNA HOTAIR and HK2 expression levels exhibit diagnostic potential in pancreatic tumors. Elevated levels of both markers correlate strongly with adverse outcomes, underscoring their prognostic value.