Adjacent Normal Tissue Samples Research Articles

The role of AGAP2-AS1, DLEU2, HMBOX1_1, and UGDH-AS1 in the progression of esophageal squamous cell carcinoma

BackgroundLong noncoding RNAs (lncRNAs) have been recognized as viable prognostic and therapeutic indicators for numerous human malignancies. Nonetheless, the operational roles and fundamental mechanisms of important lncRNAs that impact esophageal squamous cell carcinoma (ESCC) remain predominantly obscure. Recently, lncRNAs have been identified to exert regulatory influence on epithelial-mesenchymal transition (EMT) via intricate interplay with EMT-associated transcription factors (TFs) and signaling pathways. The current experimental study aimed to elucidate the expression of four lncRNAs in ESCC patients and explain their potential involvement in the EMT process and the pathogenesis of ESCC. MethodsIn the study, the expression levels of lncRNAs (AGAP2-AS1, DLEU2, HMBOX1_1 (AC108449.2), and UGDH-AS1) and mRNAs (TWIST1, MMP13, and CD44S) between fifty ESCC and adjacent normal tissue samples were measured using quantitative real-time PCR.ResultsThe upregulation of CD44S (36%), TWIST1 (52%), DLEU2 (58%), AGAP2-AS1 (62%), and MMP13 (74%), were indicated in ESCC samples, while the downregulation of UGDH-AS1 and HMBOX1_1 were found in 62% and 64% of patients, respectively. The expression levels of lncRNAs and EMT-related markers were found to be significantly correlated in several patient clinicopathological traits (P < 0.05), representing correlations between AGAP2-AS1, DLEU2, HMBOX1_1 (AC108449.2), and UGDH-AS1 with EMT status in ESCC.ConclusionOur results have unveiled that these lncRNAs, which regulate EMT, may play a crucial role in the regulatory process of EMT via the CD44S-TWIST1-MMP13 axis. Moreover, it may be assumed that lncRNAs present a promising avenue for both diagnosis and therapeutic intervention in the context of ESCC.

Increased MAGE-C Family Gene Expression Levels as a Biomarker of Colon Cancer Through the Demethylation Mechanism

Background/Objectives: Colon cancer (CC) in Saudi Arabia is associated with a high death rate and is commonly identified at a more progressive stage. Therefore, it is critical to identify and characterize potential novel cancer-specific biomarkers to enhance early CC diagnosis. The goal was to assess their potential use as cancer biomarkers for the early detection and improvement of CC treatment. Methods: MAGE-C1, MAGE-C2, and MAGE-C3 family gene expression levels were examined using RT-PCR and qRT-PCR assays in 26 adjacent normal colon (NC) and CC tissue samples from male and female Saudi patients. Using several cell lines and the qRT-PCR technique, epigenetic control was also investigated to determine whether reduced treatment with 5-aza-2′-deoxycytidine, which reduces DNA methyltransferase, can increase the expression of the MAGE-C gene. The expression levels, promoter methylation, and prognostic significance of MAGE-C1, MAGE-C2, and MAGE-C3 genes across various cancers were analyzed using The Cancer Genome Atlas (TCGA) data. Additionally, the prognostic significance of these genes was assessed through Kaplan–Meier survival analysis. Results: The RT-PCR results showed that MAGE-C1, MAGE-C2, and MAGE-C3 gene expressions were significantly higher in the CC and NC tissues. The MAGE-C1 expression level was the highest in CC tissues (p &lt; 0.0001), followed by MAGE-C3 (p = 0.0004) and MAGE-C2 (p = 0.0020) in descending order. The 5-aza-2′-deoxycytidine treatment significantly increased the mRNA expression levels of the MAGE-C1, MAGE-C2, and MAGE-C3 genes in HCT116, Caco-2, MCF-7, and MCF-10A cells. Expression analyses of TCGA samples revealed significant upregulation of these genes in several cancer types, with notable differences between normal, tumor, and metastatic tissues. Promoter methylation indicates hypomethylation in cancerous tissues. Survival analyses show that high expression levels of MAGE-C1 correlate with better prognosis, while MAGE-C3 is associated with poorer outcomes. Conclusions: These results demonstrate that MAGE-C genes are viable prospective biomarkers of CC controlled by hypomethylating drugs, consequently offering a possible treatment target for CC in a specific population.

Computational Analysis Suggests That AsnGTT 3′-tRNA-Derived Fragments Are Potential Biomarkers in Papillary Thyroid Carcinoma

Transfer-RNA-derived fragments (tRFs) are a novel class of small non-coding RNAs that have been implicated in oncogenesis. tRFs may act as post-transcriptional regulators by recruiting AGO proteins and binding to highly complementary regions of mRNA at seed regions, resulting in the knockdown of the transcript. Therefore, tRFs may be critical to tumorigenesis and warrant investigation as potential biomarkers. Meanwhile, the incidence of papillary thyroid carcinoma (PTC) has increased in recent decades and current diagnostic technology stands to benefit from new detection methods. Although small non-coding RNAs have been studied for their role in oncogenesis, there is currently no standard for their use as PTC biomarkers, and tRFs are especially underexplored. Accordingly, we aim to identify dysregulated tRFs in PTC that may serve as biomarker candidates. We identified dysregulated tRFs and driver genes between PTC primary tumor samples (n = 511) and adjacent normal tissue samples (n = 59). Expression data were obtained from MINTbase v2.0 and The Cancer Genome Atlas. Dysregulated tRFs and genes were analyzed in tandem to find pairs with anticorrelated expression. Significantly anticorrelated tRF-gene pairs were then tested for potential binding affinity using RNA22—if a heteroduplex can form via complementary binding, this would support the hypothesized RNA silencing mechanism. Four tRFs were significantly dysregulated in PTC tissue (p &lt; 0.05), with only AsnGTT 3′-tRF being upregulated. Binding affinity analysis revealed that tRF-30-RY73W0K5KKOV (AsnGTT 3′-tRF) exhibits sufficient complementarity to potentially bind to and regulate transcripts of SLC26A4, SLC5A8, DIO2, and TPO, which were all found to be downregulated in PTC tissue. In the present study, we identified dysregulated tRFs in PTC and found that AsnGTT 3′-tRF is a potential post-transcriptional regulator and biomarker.

Tumor specimen cold ischemia time impacts molecular cancer drug target discovery

Tumor tissue collections are used to uncover pathways associated with disease outcomes that can also serve as targets for cancer treatment, ideally by comparing the molecular properties of cancer tissues to matching normal tissues. The quality of such collections determines the value of the data and information generated from their analyses including expression and modifications of nucleic acids and proteins. These biomolecules are dysregulated upon ischemia and decompose once the living cells start to decay into inanimate matter. Therefore, ischemia time before final tissue preservation is the most important determinant of the quality of a tissue collection. Here we show the impact of ischemia time on tumor and matching adjacent normal tissue samples for mRNAs in 1664, proteins in 1818, and phosphosites in 1800 cases (tumor and matching normal samples) of four solid tumor types (CRC, HCC, LUAD, and LUSC NSCLC subtypes). In CRC, ischemia times exceeding 15 min impacted 12.5% (mRNA), 25% (protein), and 50% (phosphosites) of differentially expressed molecules in tumor versus normal tissues. This hypoxia- and decay-induced dysregulation increased with longer ischemia times and was observed across tumor types. Interestingly, the proteomics analysis revealed that specimen ischemia time above 15 min is mostly associated with a dysregulation of proteins in the immune-response pathway and less so with metabolic processes. We conclude that ischemia time is a crucial quality parameter for tissue collections used for target discovery and validation in cancer research.

The role of pyroptosis-related genes in breast cancer progression

Breast cancer (BC) is one of the most common malignant cancers affecting females worldwide. Pyroptosis, a form of programmed cell death associated with inflammation and triggered by pro-inflammatory signals, is not well understood in the context of BC. This study aimed to investigate the role of pyroptosis in BC patients. Paired tumor and adjacent normal tissue samples were obtained from The Cancer Genome Atlas. Using a least absolute shrinkage and selection operator Cox analysis, we identified 15 prognostic genes associated with BC. Among these, fibrinogen C domain-containing 1, calcium voltage-gated channel subunit alpha1 H, heat shock protein family B (small) member 8, and peroxidasin-like (PXDNL) were classified as high-risk genes in BC. In contrast, the remaining 11 genes, such as proteasome activator subunit 2 and DIRAS (DIRAS family GTPase 3), were low-risk genes. Kyoto Encyclopedia of Genes and Genomes and Gene ontology analyses revealed that immune-related genes were enriched but showed reduced immunological status in the high-risk group, indicating that pro-inflammatory factors and immune antigens were produced during cell death. Consequently, targeting immune antigens with new immunosuppressants may offer a novel approach to treating BC. Moreover, the expression levels of the prognostic genes PXDNL, armadillo-like helical domain-containing 1 (ARMH1), APOBEC3D, and APOBEC3F in BC cell lines were assessed using quantitative polymerase chain reaction and western blotting. PXDNL and ARMH1 exhibited high levels of expression in BC, suggesting they could be potential therapeutic targets.

Assessing the diagnostic utility of tRNA-derived fragments as biomarkers of head and neck cancer

Roughly 54,000 individuals are diagnosed with head and neck cancers in the United States yearly. Transfer RNA-derived fragments (tRF) are the products of enzymatic cleavage of precursor tRNAs, and have been proposed for use as biomarkers of head and neck cancer. In this study, we aim to further analyze the utility that tRFs might provide as biomarkers of head and neck cancer. tRF read counts were obtained for 453 tumor and 44 adjacent normal tissue samples and used to construct a gradient boosting diagnostic model. Although we identified 129 tRFs that were significantly dysregulated between these samples, the model achieved a sensitivity of only 69 % and a specificity of 59 %. tRFs are thought to induce the degradation of mRNA transcripts containing a complementary “seed” region. Despite the above performances, we chose to explore this concept of translational regulation by analyzing these tRFs for inverse correlation to the expression of select oncogenes and tumor suppressor genes implicated in head and neck cancer. Among others, CysGCA 5′-half and LysCTT 3′-tRF were upregulated in the tumor samples, and corresponded to decreased expression of PIK3R1, AKT1, and CPEB3. These transcripts were further found to contain numerous significantly complementary sites at which tRF-mediated mRNA degradation might occur. Although these tRFs did appear to correlate to many of the oncogenic metrics analyzed, we believe that additional research is needed before they might be used to improve the diagnosis, treatment, and survival of patients with this disease.

Germline polygenic risk scores are associated with immune gene expression signature and immune cell infiltration in breast cancer

The tumor immune microenvironment (TIME) plays key roles in tumor progression and response to immunotherapy. Previous studies have identified individual germline variants associated with differences in TIME. Here, we hypothesize that common variants associated with breast cancer risk or cancer-related traits, represented by polygenic risk scores (PRSs), may jointly influence immune features in TIME. We derived 154 immune traits from bulk gene expression profiles of 764 breast tumors and 598 adjacent normal tissue samples from 825 individuals with breast cancer in the Nurses' Health Study (NHS) and NHSII. Immunohistochemical staining of four immune cell markers were available for a subset of 205 individuals. Germline PRSs were calculated for 16 different traits including breast cancer, autoimmune diseases, type 2 diabetes, ages at menarche and menopause, body mass index (BMI), BMI-adjusted waist-to-hip ratio, alcohol intake, and tobacco smoking. Overall, we identified 44 associations between germline PRSs and immune traits at false discovery rate q<0.25, including 3 associations with q<0.05. We observed consistent inverse associations of inflammatory bowel disease (IBD) and Crohn disease (CD) PRSs with interferon signaling and STAT1 scores in breast tumor and adjacent normal tissue; these associations were replicated in a Norwegian cohort. Inverse associations were also consistently observed for IBD PRS and B cell abundance in normal tissue. We also observed positive associations between CD PRS and endothelial cell abundance in tumor. Our findings suggest that the genetic mechanisms that influence immune-related diseases are also associated with TIME in breast cancer.

A novel m6A reader RBFOX2 expression is increased in oral squamous cell carcinoma and promotes tumorigenesis

Background and ObjectiveOral squamous cell carcinoma (OSCC) is a significant global health concern due to its aggressive nature and poor prognosis. Recent research has highlighted the important role of RNA modifications in cancer biology, especially N6-methyladenosine (m6A) modifications, which are controlled by a complex interplay of m6A regulators. This study specifically investigates RBFOX2, a new m6A reader, and its involvement in OSCC. MethodsOur study primarily utilized OSCC tissue, adjacent normal tissue samples, OSCC cell lines, and normal healthy oral keratinocytes to validate RBFOX2 mRNA expression. Additionally, we used the TCGA-HNSCC dataset for large cohort analysis and clinicopathological characterization. Furthermore, we visualized the RBFOX2 network to identify the primary functions of the protein. ResultsOur research shows a noticeable increase in RBFOX2 expression in OSCC tissues compared to adjacent non-tumorous tissues, as determined by quantitative PCR and immunohistochemistry analyses. Functional pathway enrichment analysis revealed that RBFOX2 is involved in the receptor tyrosine kinase signaling pathway and the Hippo signaling pathway, which plays a critical role in oral cancer development and progression. Clinically, elevated RBFOX2 expression correlated with advanced tumor stages and poorer patient outcomes, demonstrating its prognostic value. These findings indicate that RBFOX2 acts as an oncogenic driver in OSCC as an m6A reader, facilitating the expression of m6A-modified oncogenes. ConclusionOur study identifies RBFOX2 as a critical player in OSCC pathogenesis and opens avenues for novel therapeutic strategies targeting the m6A regulatory machinery in this malignancy.

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.

Unique miRNA Expression Profile in MSI- and EMAST-Unstable Sporadic Colon Cancer.

MicroRNAs (miRNAs) are critical post-transcriptional gene regulators and their involvement in sporadic colon cancer (CRC) tumorigenesis has been confirmed. In this study we investigated differences in miRNA expression in microsatellite stable (MSS/EMAST-S), microsatellite unstable marked by high elevated microsatellite alterations at selected tetranucleotide repeats (MSS/EMAST-H), and high microsatellite unstable (MSI-H/EMAST-H) tumor subgroups as well as in tumors with different clinicopathologic characteristics. An RT-qPCR analysis of miRNA expression was carried out on 45 colon cancer and adjacent normal tissue samples (15 of each group). Overall, we found three differentially expressed miRNAs between the subgroups. miR-92a-3p and miR-224-5p were significantly downregulated in MSI-H/EMAST-H tumors in comparison to other subgroups. miR-518c-3p was significantly upregulated in MSS/EMAST-H tumors in comparison to stable and highly unstable tumors. Furthermore, we showed that miR-143-3p and miR-145-5p were downregulated in tumors in comparison to normal tissues in all subgroups. In addition, we showed overexpression of miR-125b-5p in well-differentiated tumors and miR-451a in less advanced tumors. This is the first report on differences in miRNA expression profiles between MSS/EMAST-S, MSS/EMAST-H, and MSI-H/EMAST-H colorectal cancers. Our findings indicate that the miRNA expression signatures differ in CRC subgroups based on their instability status.

Evaluation of the expression of miRNA-214 and circ-0005407 markers and their associated ZFAND3 gene in Oral squamous cell carcinoma

Background and objectiveCancer biomarkers serve as measurable indicators for the early detection of cancer, as they can be detected in sample tissues. They play a crucial role in optimizing decision-making in clinical practice. To advanve in this field, it is necessary to identify of markers with higher sensitivity, specificity, and positive predictive value. Therfore, wer have chosen to investigate the expression of multiple biomarkers simultaneously in oral squamous cell carcinoma. Materials and methodsIn this experimental study, we investigated the expression levels of miRNA-214, circ-0005407, and ZFAND3 genes using the quantitative RealTime PCR method. The samples examined included 30 samples of fresh cancerous tissue and adjacent normal tissue obtained from the Cancer Institute of Imam Khomeini Hospital. The data were analyzed using the dependent samples t-test and ANOVA test. FindingsThe mean CT values of circ-0005407, miRNA-214, and ZFAND3 in the cancerous and normal groups were (15.48 ± 1.62 & 13.23 ± 1.63), (16.64 ± 1.51 & 13.21 ± 1.29), and (14.41 ± 1.07 & 16.72 ± 1.28), respectively. There was a statistically significant difference in the expression levels of all markers in the two investigated groups (P˂0.05). The fold change levels in circ-0005407, miRNA-214, and ZFAND3 gene markers were (0.51,0.22,6.34) respectively, indicating an increase in gene expression in cancerous tissue compared to normal. However, the other two markers showed decreased expression in cancerous tissue compared to normal tissue. ConclusionBased on the data obtained regarding the change in expression levels of these markers in cancerous tissue compared to normal tissue, it seems that these biomarkers can be used in the early diagnosis of oral cancer.

Identification of lncRNA-mRNA network linking ferroptosis and immune infiltration to colon adenocarcinoma suppression

BackgroundColon adenocarcinoma (COAD) is one of the most common malignant tumors. The interplay involving ferroptosis between tumor and immune cells plays a crucial in cancer progression. However, the biological basis of this interplay in COAD development remains elusive. MethodsTranscriptome data of COAD samples were obtained from The Cancer Genome Atlas and National Center for Biotechnology Information databases. Using single-sample gene set enrichment analysis, we calculated the ferroptosis score (FS) and immune cell infiltration levels for each sample, leveraging the expression levels of genes related to ferroptosis and various immune cell types. Samples with FSs greater than the 75th percentile were classified into the high-FS subgroup, while those below the 25th percentile were categorized as the low-FS subgroup. Moreover, tumor tissue samples and adjacent normal tissue samples were collected from twenty colon patients. Using real-time quantitative polymerase chain reaction, we validated the expression of certain genes in these samples. ResultsThe COAD samples with high FSs experienced favorable survival probability and heightened sensitivity to anticancer drugs, with FSs negatively associated with the pathological stages. Moreover, the up-regulated genes in high-FS subgroup exhibited enrichment in immune-related pathways, suggesting a correlation between immunity and ferroptosis. Importantly, we discovered a key lncRNA-mRNA co-expression network linking tumor cell ferroptosis and immune infiltration (e.g., neutrophil) in the progression and classification of COAD. Further analysis identified several ferroptosis-related lncRNAs (e.g., RP11-399O19.9) within this network, indicating their potential roles in COAD progression and deserving in-depth study. ConclusionsOur findings provide novel insights into the underlying biological basis, particularly involving lncRNAs, at gene expression level associated with ferroptosis in COAD and cancer therapy. Nevertheless, further analysis and validation are required to expand the findings.

The Association between the JAK-STAT Pathway and Hypertension among Kenyan Women Diagnosed with Breast Cancer.

Breast cancer is the most common malignant tumor in women worldwide, and disproportionately affects Sub-Saharan Africa compared to high income countries. The global disease burden is growing, with Sub-Saharan Africa reporting majority of the cases. In Kenya, breast cancer is the most commonly diagnosed cancer, with an annual incidence of 7,243 new cases in 2022, representing 25.5% of all reported cancers in women. Evidence suggests that women receiving breast cancer treatment are at a greater risk of developing hypertension than women without breast cancer. Hypertension prevalence has been on the rise in SSA, with poor detection, treatment and control. The JAK-STAT signaling is activated in hormone receptor-positive breast tumors, leading to inflammation, cell proliferation, and treatment resistance in cancer cells. We sought to understand the association between the expression of JAK-STAT Pathway genes and hypertension among Kenyan women diagnosed with breast cancer. Breast tumor and non-tumor tissues were acquired from patients with a pathologic diagnosis of invasive breast carcinoma. RNA was extracted from fresh frozen tumor and adjacent normal tissue samples of 23 participants who had at least 50% tumor after pathological examination, as well as their corresponding adjacent normal samples. Differentially expressed JAK-STAT genes between tumor and normal breast tissues were assessed using the DESEq2 R package. Pearson correlation was used to assess the correlation between differentially expressed JAK-STAT genes and participants' blood pressure, heart rate, and body mass index (BMI). 11,868 genes were differentially expressed between breast tumor and non-tumor tissues. Eight JAK-STAT genes were significantly dysregulated (Log2FC ≥ 1.0 and an Padj ≤ 0.05), with two genes (CISH and SCNN1A) being upregulated. Six genes (TGFBR2, STAT5A, STAT5B, TGFRB3, SMAD9, and SOCS2) were downregulated. We identified STAT5A and SOCS2 genes to be significantly correlated with elevated systolic pressure and heart rate, respectively. Our study provides insights underlying the molecular mechanisms of hypertension among Kenyan women diagnosed with breast cancer. Understanding these mechanisms may help develop targeted treatments that may improve health outcomes of Kenyan women diagnosed with breast cancer. Longitudinal studies with larger cohorts will be needed to validate our results.

Expression of nuclear receptor co‑activator 7 protein is associated with poor prognosis of breast cancer.

Nuclear receptor coactivator 7 (NCOA7) is an estrogen receptor binding protein. Its role in breast cancer progression has so far remained elusive. The present study aimed to determine the expression levels of NCOA7 in breast tumor samples and confirmed its potential utility as a breast cancer prognostic biomarker. The expression of NCOA7 was detected by immunohistochemical staining in 241 breast cancer tumor samples and 163 adjacent normal tissue samples. The association of NCOA7 expression with the clinicopathological characteristics and overall survival were statistically analyzed. Cell proliferation was determined by Cell Counting Kit-8 and colony-formation assays. Cell migration was detected using wound-healing and Transwell assays. NCOA7 was positively expressed in 44% of breast tumor tissues. The expression of NCOA7 was positively associated with tumor size (T-stage; P=0.005) and lymph node metastasis (N-stage; P=0.008). Additional statistical analysis indicated that the expression of NCOA7 was associated with patient age, tumor size and lymph node metastasis in patients with triple-negative breast cancer (TNBC) compared with that in patients with non-TNBC. The overall survival of patients with NCOA7-positive breast cancer was significantly lower than that of patients with NCOA7-negative breast cancer (P=0.006). Among the patients with lymph node metastasis, the overall survival was reversely associated with the expression of NCOA7 (P=0.042). Furthermore, knockdown of NCOA7 expression in breast cancer T47D and MCF7 cells significantly inhibited both cell proliferation and migration, suggesting that this protein may exert a role in driving breast cancer progression. Taken together, these results indicate that the expression of NCOA7 is associated with poor prognosis of breast cancer and suggest that this protein may be a driver for metastasis and a potential therapeutic target for advanced breast cancer.

Functional analysis of ESM1 by shRNA-mediated knockdown of its expression in papillary thyroid cancer cells.

Endothelial specific molecule-1 (ESM1) is implicated as an oncogene in multiple human cancers. However, the function of ESM1 in papillary thyroid cancer (PTC) is not well understood. The current study aimed to investigate the effect of ESM1 on the growth, migration, and invasion of PTC to provide a novel perspective for PTC treatment. The expression levels of ESM1 in PTC tissues form 53 tumor tissue samples and 59 matching adjacent normal tissue samples were detected by immunohistochemical analysis. Knockdown of ESM1 expression in TPC-1 and SW579 cell lines was established to investigate its role in PTC. Moreover, cell proliferation, apoptosis, wound healing, and transwell assays were conducted in vitro to assess cell proliferation, migration and invasion. The findings revealed that ESM1 expression was significantly higher in PTC tissues than that found in paraneoplastic tissues (P<0.0001). Knockdown of ESM1 expression inhibited the proliferation, migration, and invasion of TPC-1 and SW579 cells in vitro. Compared with the control group, the mRNA and protein levels of ESM1 in PTC cells were significantly reduced following knockdown of its expression (P<0.01). In addition, ESM1-knockdown cells indicated decreased proliferation and decreased migratory and invasive activities (P<0.01, P<0.01, P<0.001, respectively). ESM1 was identified as a major gene in the occurrence and progression of PTC, which could increase the proliferation, migration, and invasion of PTC cells. It may be a promising diagnostic and therapeutic target gene.

ScRNA-seq characterizing the heterogeneity of fibroblasts in breast cancer reveals a novel subtype SFRP4+ CAF that inhibits migration and predicts prognosis.

Cancer-associated fibroblasts (CAFs) are a diverse group of cells that significantly impact the tumor microenvironment and therapeutic responses in breast cancer (BC). Despite their importance, the comprehensive profile of CAFs in BC remains to be fully elucidated. To address this gap, we utilized single-cell RNA sequencing (scRNA-seq) to delineate the CAF landscape within 14 BC normal-tumor paired samples. We further corroborated our findings by analyzing several public datasets, thereby validating the newly identified CAF subtype. Additionally, we conducted coculture experiments with BC cells to assess the functional implications of this CAF subtype. Our scRNA-seq analysis unveiled eight distinct CAF subtypes across five tumor and six adjacent normal tissue samples. Notably, we discovered a novel subtype, designated as SFRP4+ CAFs, which was predominantly observed in normal tissues. The presence of SFRP4+ CAFs was substantiated by two independent scRNA-seq datasets and a spatial transcriptomics dataset. Functionally, SFRP4+ CAFs were found to impede BC cell migration and the epithelial-mesenchymal transition (EMT) process by secreting SFRP4, thereby modulating the WNT signaling pathway. Furthermore, we established that elevated expression levels of SFRP4+ CAF markers correlate with improved survival outcomes in BC patients, yet paradoxically, they predict a diminished response to neoadjuvant chemotherapy in cases of triple-negative breast cancer. This investigation sheds light on the heterogeneity of CAFs in BC and introduces a novel SFRP4+ CAF subtype that hinders BC cell migration. This discovery holds promise as a potential biomarker for refined prognostic assessment and therapeutic intervention in BC.

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.

Abstract 2268: CREDAC: Copy number-based reference-free expression deconvolution analysis of cancers

Abstract Introduction: Analyses of bulk RNA sequencing data are central to most large-scale tumor sequencing studies. Bulk expression data represent population averages and its interpretation is confounded by both normal cell contamination and somatic copy number alterations. Several computational methods to deconvolve have been developed recently. However, these methods often rely on a set of cell-type-specific reference signatures and ignore the effect of copy number changes. Methods: To address these issues, we have developed a method that formalizes the relationship between allele-specific copy number, expression and sample purity to deconvolve the expression profiles of tumor and normal cells from bulk RNA-seq in an unbiased manner. Our method was applied to sequencing data produced by the TRACERx consortium, a longitudinal study with multi-region whole-exome and RNA-seq of non-small-cell lung cancers. A total of 414 primary tumor regions and 140 adjacent normal tissue samples from 140 patients with matched DNA and RNA-seq data were processed. Results: We were able to directly deconvolve a median of ~2,000 genes per sample and indirectly infer tumor and normal expression profiles of ~10,000 genes using an scaled and weighted mean approach. The accuracy of the deconvolution was validated using (1) in-silico mixtures of patient-derived tumor and normal cells, (2) pseudo-bulk scRNAseq and (3) in regions with loss of heterogeneity (LOH) directly on the bulk sequencing data, where the total fraction of expression attributed to tumor cells can be computed directly using somatic mutations. CREDAC allows for single sample bulk-level tumor-normal differential expression analysis and revealed a strong and constitutive genome-wide overexpression in cancer compared to admixed normal cells, with a more pronounced overexpression in lung squamous cell carcinoma than lung adenocarcinoma (p&amp;lt;0.001). CREDAC adjusts for variations in copy number, thus facilitating the investigation of cancer-specific dosage compensatory responses triggered by aneuploidy. We revealed that a majority of genes (~65%) exhibit proportionality to copy number alterations, while a substantial proportion (~35%) shows anti-scaling or dosage compensation strategies. We show an enrichment of genes involved in cell cycle and expression processes within the dosage compensated group and revealed methylation as a key mechanism driving this compensatory process. Conclusion: Overall, our results suggest that CREDAC is able to accurately disentangle the expression of tumor and normal cells from bulk RNA-seq without any previous knowledge. It has potential applications in many studies that include matched RNA-seq and copy number data and can provide new insights functional characterization, the taxonomy of cancer, and tumor evolution. Citation Format: Carla Castignani, Jonas Demeulemeester, Oriol Pich, Tom Lesluyes, Robert E. Hynds, David R. Pearce, Elizabeth Larose Cadieux, Stefan C. Dentro, TRACERx Consortium, Nnenna Kanu, Charles Swanton, Peter Van Loo. CREDAC: Copy number-based reference-free expression deconvolution analysis of cancers [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 2268.

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.

Quantitative Pattern of hPTMs by Mass Spectrometry-Based Proteomics with Implications for Triple-Negative Breast Cancer.

Triple-negative breast cancer (TNBC) is known for its aggressive nature, and TNBC management is currently challenging due to the lack of effective targets. Despite the importance of histone post-translational modifications (hPTMs) in breast cancer, their associations with molecular subtypes of breast cancer, especially TNBC, are poorly understood. In this study, a combination of untargeted and targeted proteomics approaches, supplemented by a derivatization method, was applied to breast cancer cells and tissue samples. Untargeted proteomics of eight breast cancer cell lines belonging to different molecular subtypes revealed 36 modified peptides with 12 lysine modification sites in histone H3, and the most frequently reported top 5 histone H3 methylation and acetylation sites were covered. Then, targeted proteomics was carried out to quantify the total 20 target hPTMs at the covered modification sites (i.e., mono-, di-, trimethylation, and acetylation for each site), indicating the difficulty in distinguishing TNBC cells from normal cells. Subsequently, the analysis in TNBC patients revealed significant expression differences in 4 specific hPTMs (H3K14ac, H3K27me1, H3K36me2, and H3K36me3) between TNBC and adjacent normal tissue samples. These unique hPTM patterns allowed for the differentiation of TNBC from normal cases. This finding provides promising implications for advancing targeted treatment strategies for TNBC in the future.