Multiple Normal Tissues Research Articles

Acute myeloid leukemia stem cell signature gene EMP1 is not an eligible therapeutic target.

Relapse in pediatric acute myeloid leukemia (pedAML) patients is known to be associated with residual leukemic stem cells (LSC). We have previously shown that epithelial membrane protein 1 (EMP1) is significantly overexpressed in LSC compared to hematological stem cell fractions. EMP1 was also documented as part of the 17-gene stemness score and a 6-membrane protein gene score, both correlating high EMP1 expression with worse overall survival. However, its potential as a therapeutic target in pedAML is still unexplored. Association analyses of EMP1 expression with clinical and molecular AML characteristics were performed. Expression of EMP1 was evaluated in pedAML and cord blood samples. Expression in normal blood cells and tissues was evaluated by flow cytometry and immunohistochemistry, respectively. In silico analyses showed variable mRNA expression of EMP1 in multiple pedAML datasets, and a significant correlation between high EMP1 transcript levels and the presence of inv(16). Flow cytometry showed overexpression of EMP1 in pedAML samples, as well as expression in normal blood subsets. Importantly, immunohistochemistry revealed EMP1 expression in multiple normal tissues. Although EMP1 presents as an interesting membrane-associated target in pedAML, its abundant expression in normal blood cells and tissues will impede it from further exploration as a therapeutic target. EMP1 is highly expressed in multiple cancer types, but expression in acute myeloid leukemia (AML) and normal tissues is unexplored. As EMP1 is investigated in other cancer types, expression in normal tissues and blood cells is relevant in predicting the success of EMP1-targeted therapies. In this study, we showed expression of EMP1 in multiple tissues, predicting high on-target off-tumor toxicity, which will warn other researchers of possible toxicities when generating EMP1-targeted therapy. Finally, we showed that high EMP1 expression is associated with better overall survival of pediatric AML patients, reducing the need for EMP1-targeted therapy.

Histologic and Quality Assessment of Genotype-Tissue Expression (GTEx) Research Samples: A Large Postmortem Tissue Collection.

The National Institutes of Health Genotype-Tissue Expression (GTEx) project was developed to elucidate how genetic variation influences gene expression in multiple normal tissues procured from postmortem donors. To provide critical insight into a biospecimen's suitability for subsequent analysis, each biospecimen underwent quality assessment measures that included evaluation for underlying disease and potential effects introduced by preanalytic factors. Electronic images of each tissue collected from nearly 1000 postmortem donors were evaluated by board-certified pathologists for the extent of autolysis, tissue purity, and the type and abundance of any extraneous tissue. Tissue-specific differences in the severity of autolysis and RNA integrity were evaluated, as were potential relationships between these markers and the duration of postmortem interval and rapidity of death. Tissue-specific challenges in the procurement and preservation of the nearly 30 000 tissue specimens collected during the GTEx project are summarized. Differences in the degree of autolysis and RNA integrity number were observed among the 40 tissue types evaluated, and tissue-specific susceptibilities to the duration of postmortem interval and rapidity of death were observed. Ninety-five percent of tissues were of sufficient quality to support RNA sequencing analysis. Biospecimens, annotated whole slide images, de-identified clinical data, and genomic data generated for GTEx represent a high-quality and comprehensive resource for the scientific community that has contributed to its use in approximately 1695 articles. Biospecimens and data collected under the GTEx project are available via the GTEx portal and authorized access to the Database of Genotypes and Phenotypes; procedures and whole slide images are available from the National Cancer Institute.

Common occurrence of hotspots of single strand DNA breaks at transcriptional start sites

BackgroundWe recently developed two high-resolution methods for genome-wide mapping of two prominent types of DNA damage, single-strand DNA breaks (SSBs) and abasic (AP) sites and found highly complex and non-random patterns of these lesions in mammalian genomes. One salient feature of SSB and AP sites was the existence of single-nucleotide hotspots for both lesions.ResultsIn this work, we show that SSB hotspots are enriched in the immediate vicinity of transcriptional start sites (TSSs) in multiple normal mammalian tissues, however the magnitude of enrichment varies significantly with tissue type and appears to be limited to a subset of genes. SSB hotspots around TSSs are enriched on the template strand and associate with higher expression of the corresponding genes. Interestingly, SSB hotspots appear to be at least in part generated by the base-excision repair (BER) pathway from the AP sites.ConclusionsOur results highlight complex relationship between DNA damage and regulation of gene expression and suggest an exciting possibility that SSBs at TSSs might function as sensors of DNA damage to activate genes important for DNA damage response.

Abstract 6190: Patterns of EGFR and HER3 co-expression in solid tumors

Abstract EGFR and HER3 are members of the ERBB receptor family and transmit growth and survival signals to cancer cells upon ligand binding. While both receptors are well established targets for cancer therapy, greater understanding of the relationship of their expression patterns in human cancer is needed to establish the scope of therapeutic potential. To evaluate the co-expression pattern of EGFR and HER3, cancer FFPE tissue microarrays from several cancer types were evaluated by immunofluorescence imaging and digital pathology, including cell-by-cell marker intensity and spatial analyses within the tumor and stromal compartments. Tissue cores were assigned H-scores, and individual cells were binned into 0, 1+, 2+, 3+ scoring based on established digital pathology methods using QuPath software. Spatial cytometry was used to further evaluate single-cell expression intensity. Analysis was conducted widely on multiple normal human tissues as well as cases of NSCLC adenocarcinoma n=86, NSCLC squamous cell carcinoma n=84, SCLC n=43, TNBC n=45, Biliary tract cancers n=80, Nasopharyngeal carcinomas n=60. Overall, the results of this analysis show the intermediate to high prevalence of EGFR and HER3 co-expression within each indication, as well as the frequency of EGFR and HER3 expressing cells. Furthermore, EGFR and HER3 heterodimers were confirmed by proximity ligation assay in certain index cases. Notably, of several observations, we observe NSCLC cases show a profound absence of EGFR- HER3+ tumor cells. Additionally, we observe that co-expression of EGFR and HER3 in normal human tissues is rare and of low signal intensity. Citation Format: Matthew Wood, Cody Morrison, Jahan Salar Khalili, Yi Zhu. Patterns of EGFR and HER3 co-expression in solid tumors [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 6190.

Integrating single-cell and bulk expression data to identify and analyze cancer prognosis-related genes

Compared with traditional evaluation methods of cancer prognosis based on tissue samples, single-cell sequencing technology can provide information on cell type heterogeneity for predicting biomarkers related to cancer prognosis. Therefore, the bulk and single-cell expression profiles of breast cancer and normal cells were comprehensively analyzed to identify malignant and non-malignant markers and construct a reliable prognosis model. We first screened highly reliable differentially expressed genes from bulk expression profiles of multiple breast cancer tissues and normal tissues, and inferred genes related to cell malignancy from single-cell data. Then we identified eight critical genes related to breast cancer to conduct Cox regression analysis, calculate polygenic risk score (PRS), and verify the predictive ability of PRS in two data groups. The results show that PRS can divide breast cancer patients into high-risk group and low-risk group. PRS is related to the overall survival time and relapse-free interval and is a prognosis factor independent of conventional clinicopathological characteristics. Breast cancer is usually regarded as a cancer with a relatively good prognosis. In order to further explore whether this workflow can be applied to cancer with poor prognosis, we selected lung cancer for a comparative study. The results show that this workflow can also build a reasonable prognosis model for lung cancer. This study provides new insight and practical source code for further research on cancer biomarkers and drug targets. It also provides basis for survival prediction, treatment response prediction, and personalized treatment.

PRAMEF12, a novel cancer/testis gene, regulates proliferation and apoptosis to promote progression of glioma.

Aim: To evaluate whether PRAMEF12 can serve as a diagnostic biomarker for glioma. Methods: We examined PRAMEF12 expression in multiple normal and glioma tissues. The diagnostic value of PRAMEF12 was evaluated using receiver operating characteristic curve analysis. The effect of PRAMEF12 ablation on proliferation, cell cycle and apoptosis was investigated. Database analyses were utilized for functional enrichment analysis. Results: PRAMEF12 expression in normal tissue was restricted to the human testis. PRAMEF12 displayed significant diagnostic value in glioma. PRAMEF12 knockdown inhibited cell proliferation, induced apoptosis and resulted in induction of S-phase cell cycle arrest. Pathway enrichment analysis indicated that PRAMEF12 may participate in cancer. Conclusion: PRAMEF12, a novel cancer/testis gene, may be a potential new diagnostic biomarker for glioma.

An engineered Trop2/CD3 bispecific antibody for treatment of gastric, pancreatic, and colorectal cancers.

e14521 Background: Given its over-expression and poor prognosis in a variety of solid tumors, trophoblast cell surface antigen 2 (Trop2) is regarded as a potential therapeutic target. Trop2-directed antibody-drug conjugates have been developed for treatment of solid tumors; however, their clinical benefits can be limited by the associated undesirable effects which is likely attributed to the on-target off-tumor effect arising from the low basal Trop2 expression on the surface of multiple normal epithelial tissues. The present study aims to develop a humanized Trop2/CD3 bispecific T-cell engager antibody that can promote immunological synapse formation with tumor cells overexpressing Trop2, redirecting T cell-mediated killing specifically to cancers with reduced risk of on-target off-tumor effects. Methods: A Trop2/CD3 bispecific antibody was generated by linking a humanized anti-Trop2 monoclonal antibody with a CD3-binding scFv. To tune the affinity of the bispecific antibody for tumor target, in silico paratope prediction was firstly done using ProABC-2 (Ambrosetti F et al., 2020), following by alanine substitution of the identified paratope residues individually. A total of 6 CDR variants were generated with their binding to Trop2 examined using biolayer interferometry. Selected candidates were further characterized for their binding to Trop2-positive cancer cells and activation of T cells upon target engagement. Redirection of T cell-mediated killing on cancer cells expressing high Trop2 level was also studied in vitro. Results: Substitution of a complementarity-determining residue (CDR) on the heavy chain of anti-Trop2 antibody with an alanine significantly reduced binding affinity to Trop2. This CDR variant was selected for further functional characterization. Apart from weaker binding to Trop2-positive tumor cells, the variant also demonstrated a slower cytokine induction, a less acute T-cell activation, and a cytotoxic effect which was more restricted to Trop2-high cancer cells. Conclusions: Our new Trop2/CD3 bispecific antibody demonstrates potent anti-tumor activity, while at the same time shows a reduced risk of on-target off-tumor toxicity. The drug candidate warrants further investigations including toxicity study in monkeys. [Table: see text]

Phospholipase C delta 1 inhibits WNT/β‐catenin and EGFR-FAK-ERK signaling and is disrupted by promoter CpG methylation in renal cell carcinoma

BackgroundPLCD1, located at 3p22, encodes an enzyme that mediates cellular metabolism and homeostasis, intracellular signal transduction and movement. PLCD1 plays a pivotal role in tumor suppression of several types of cancers; however, its expression and underlying molecular mechanisms in renal cell carcinoma (RCC) pathogenesis remain elusive.MethodsRT-PCR and Western blot were used to detect PLCD1 expression in RCC cell lines and normal tissues. Bisulfite treatment, MSP and BGS were utilized to explore the CpG methylation status of PLCD1 promoter. Online databases were analyzed for the association between PLCD1 expression/methylation and patient survival. In vitro experiments including CCK8, colony formation, wound-healing, transwell migration and invasion, immunofluorescence and flow cytometry assays were performed to evaluate tumor cell behavior. Luciferase assay and Western blot were used to examine effect of PLCD1 on WNT/β‐catenin and EGFR‐FAK-ERK signaling.ResultsWe found that PLCD1 was widely expressed in multiple adult normal tissues including kidney, but frequently downregulated or silenced in RCC due to its promoter CpG methylation. Restoration of PLCD1 expression inhibited the viability, migration and induced G2/M cell cycle arrest and apoptosis in RCC cells. PLCD1 restoration led to the inhibition of signaling activation of WNT/β-catenin and EGFR-FAK-ERK pathways, and the EMT program of RCC cells.ConclusionsOur results demonstrate that PLCD1 is a potent tumor suppressor frequently inactivated by promoter methylation in RCC and exerts its tumor suppressive functions via suppressing WNT/β‐catenin and EGFR‐FAK-ERK signaling. These findings establish PLCD1 as a promising prognostic biomarker and treatment target for RCC.

A novel tumor suppressor encoded by a 1p36.3 lncRNA functions as a phosphoinositide-binding protein repressing AKT phosphorylation/activation and promoting autophagy.

Peptides/small proteins, encoded by noncanonical open reading frames (ORF) of previously claimed non-coding RNAs, have recently been recognized possessing important biological functions, but largely uncharacterized. 1p36 is an important tumor suppressor gene (TSG) locus frequently deleted in multiple cancers, with critical TSGs like TP73, PRDM16, and CHD5 already validated. Our CpG methylome analysis identified a silenced 1p36.3 gene KIAA0495, previously thought coding long non-coding RNA. We found that the open reading frame 2 of KIAA0495 is actually protein-coding and translating, encoding a small protein SP0495. KIAA0495 transcript is broadly expressed in multiple normal tissues, but frequently silenced by promoter CpG methylation in multiple tumor cell lines and primary tumors including colorectal, esophageal and breast cancers. Its downregulation/methylation is associated with poor survival of cancer patients. SP0495 induces tumor cell apoptosis, cell cycle arrest, senescence and autophagy, and inhibits tumor cell growth in vitro and in vivo. Mechanistically, SP0495 binds to phosphoinositides (PtdIns(3)P, PtdIns(3,5)P2) as a lipid-binding protein, inhibits AKT phosphorylation and its downstream signaling, and further represses oncogenic AKT/mTOR, NF-κB, and Wnt/β-catenin signaling. SP0495 also regulates the stability of autophagy regulators BECN1 and SQSTM1/p62 through modulating phosphoinositides turnover and autophagic/proteasomal degradation. Thus, we discovered and validated a 1p36.3 small protein SP0495, functioning as a novel tumor suppressor regulating AKT signaling activation and autophagy as a phosphoinositide-binding protein, being frequently inactivated by promoter methylation in multiple tumors as a potential biomarker.

Multi-omics characteristics and immunotherapeutic potential of EZH2 in pan-cancer.

Enhancer of zeste homolog 2 (EZH2) is a significant epigenetic regulator that plays a critical role in the development and progression of cancer. However, the multi-omics features and immunological effects of EZH2 in pan-cancer remain unclear. Transcriptome and clinical raw data of pan-cancer samples were acquired from The Cancer Genome Atlas and Gene Expression Omnibus databases, and subsequent data analyses were conducted by using R software (version 4.1.0). Furthermore, numerous bioinformatics analysis databases also re also applied to comprehensively explore and elucidate the oncogenic mechanism and therapeutic potential of EZH2 from pan-cancer insight. Finally, quantitative reverse transcription polymerase chain reaction and immunohistochemical assays were performed to verify the differential expression of EZH2 gene in various cancers at the mRNA and protein levels. EZH2 was widely expressed in multiple normal and tumor tissues, predominantly located in the nucleoplasm. Compared with matched normal tissues, EZH2 was aberrantly expressed in most cancers either at the mRNA or protein level, which might be caused by genetic mutations, DNA methylation, and protein phosphorylation. Additionally, EZH2 expression was correlated with clinical prognosis, and its upregulation usually indicated poor survival outcomes in cancer patients. Subsequent analysis revealed that EZH2 could promote tumor immune evasion through T cell dysfunction and T cell exclusion. Furthermore, expression of EZH2 exhibited a strong correlation with several immunotherapy-associated responses (i.e., immune checkpoint molecules, tumor mutation burden (TMB), microsatellite instability (MSI), mismatch repair (MMR) status, and neoantigens), suggesting that EZH2 appeared to be a novel target for evaluating the therapeutic efficacy of immunotherapy.

Integrative and Comprehensive Pan-Cancer Analysis of Lymphocyte-Specific Protein Tyrosine Kinase in Human Tumors.

Lymphocyte-specific protein tyrosine kinase (LCK) is common in a variety of hematologic malignancies but comparatively less common in solid tumors. This study aimed to explore the potential diagnostic and prognostic value of LCK across tumors through integrative and comprehensive pan-cancer analysis, as well as experimental validation. Multiple databases were used to explore the expression, alteration, prognostic value, association with immune infiltration, and potential functional pathways of LCK in pan-cancers. The results were further validated by western blotting and qPCR of patient samples as well as tumor cell lines. High LCK expression typically represents a better prognosis. Notably, drug sensitivity prediction of LCK identified P-529 as a candidate for drug development. Gene Annotations (GO) and KEGG analyses showed significant enrichment of PD-L1 and the T-cell receptor pathway. The results from patient samples and tumor cell lines confirmed these conclusions in LIHC. In conclusion, LCK is differentially expressed in multiple tumors and normal tissues. Further analysis highlighted its association with prognostic implications, pan-cancer genetic alterations, and immune signatures. Our data provide evidence for a diagnostic marker of LCK and the possible use of LCK as a target for the treatment of tumors.

Dickkopf-1 is a Prognostic Biomarker of Head and Neck Squamous Cell Carcinoma that Correlates with Immune Infiltrates

<h3>Purpose/Objective(s)</h3> Head and neck squamous cell carcinoma (HNSCC) is associated with high immune cell infiltration, and immunotherapy is currently one of the most promising treatments for HNSCC. Dickkopf-1 (DKK1), a Wnt-signaling inhibitor and mediator of immune activation, is highly associated with tumor progression and the tumor microenvironment and, thus, disease prognosis. However, the associations between DKK1 expression, HNSCC prognosis, and tumor-infiltrating lymphocytes remain unknown. <h3>Materials/Methods</h3> We investigated these relationships in this study by exploring DKK1-expression differences in multiple tumor tissues and normal tissues, using the TIMER, Oncomine, and UALCAN databases. We searched the Kaplan–Meier database to assess correlations between DKK1 mRNA-expression levels and clinical outcomes. Subsequently, we evaluate the correlation between DKK1 expression and tumor immune-cell infiltration using the TIMER platform and TISIDB website. In addition, we assessed DKK1, CD3, and CD4 expression in 27 head and neck tumor samples and DKK1 expression in 15 normal head and neck tissue samples by immunohistochemistry. Moreover, we used the cBioPortal and UCSC Xena databases to explore aberrant DKK1 expression during tumorigenesis. <h3>Results</h3> DKK1 significantly upregulated in HNSCC tissues versus normal tissues. DKK1 expression was related to the HNSCC tumor stage, tumor grade, histology, lymph node metastasis, and a poor clinical prognosis. DKK1 expression correlated negatively with CD3+ (P < 0.0001) and CD4+ (P < 0.0001) immune cell infiltration in HNSCC tumor tissues. Moreover, DKK1 closely correlated with genetic markers of various immune cells. The prognosis of HNSCC correlated negatively with DKK1 expression in immune cells. Copy-number variation and DNA methylation may promote abnormal DKK1 upregulation in HNSCC. These results help understand the role of DKK1 in HNSCC immunotherapy and provide a rationale for clinical research on treating HNSCC by targeting DKK1. <h3>Conclusion</h3> DKK1 may therefore serve as a prognostic indicator and a biomarker for immune infiltration in HNSCC, and potentially as a central target for improving the diagnosis and immunotherapy efficacy of HNSCC.

Identification of G6PC as a potential prognostic biomarker in hepatocellular carcinoma based on bioinformatics analysis.

Hepatocellular carcinoma (HCC) has high mortality and incidence rates around the world with limited therapeutic options. There is an urgent need for identification of novel therapeutic targets and biomarkers for early diagnosis and predicting patient survival with HCC.Several studies (GSE102083, GSE29722, GSE101685, and GSE112790) from the GEO database in HCC were screened and analyzed by GEO2R, gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were conducted with the Database for Annotation, Visualization and Integrated Discovery. The protein-protein interaction network was plotted and the module analysis was performed using Search Tool for the Retrieval of Inter-acting Genes/Proteins database and Cytoscape. The expression and survival of key genes were identified using UALCAN, Kaplan–Meier Plotter and ONCOMINE online databases, and the immune infiltration level of key genes was analyzed via the Tumor Immune Estimation Resource (TIMER) database.Through database analysis, eight key genes were finally screened out, and the expressions of cyclin-dependent kinase regulatory subunit 2 and glucose-6-phosphatase catalytic (G6PC), which were closely related to the survival of HCC patients, was detected by using UALCAN. Further analysis on the differential expression of G6PC in multiple cancerous tumors and normal tissues revealed low expression in many solid tumors by Oncomine and TIMER. In addition, Kaplan–Meier plotter and UALCAN database analysis to access diseases prognosis suggested that low expression of G6PC was significantly associated with poor overall survival in HCC patients. Finally, TIMER database analysis showed a significant negative correlation between G6PC and infiltration levels of six kinds of immune cells. The somatic copy number alterations of G6PC were associated with B cells, CD8+ T cells, CD4+ T cells, macrophages, dentritic cells and neutrophils.These bioinformatic data identified G6PC as a potential key gene in the diagnosis and prognosis of HCC.

SYK Is Associated With Malignant Phenotype and Immune Checkpoints in Diffuse Glioma.

Background: Diffuse glioma, the most common intracranial malignant tumor, is characterized by immunosuppression. The prognostic significance and potential therapeutic value of SYK remain obscure. Here, we explored the performance of SYK in predicting patient outcomes and as a therapeutic target. Methods: The mRNA expression and clinical data for pancancer and normal tissues and more than 2,000 glioma samples were collected from public databases. The expression level of SYK was evaluated by qPCR and IHC. The prognostic value of SYK was assessed using the Kaplan–Meier curves and univariate and multivariate Cox regression analyses. A sequence of immune and stromal infiltration analyses was calculated based on the ESTIMATE algorithm, ssGSEA algorithm, TIMER, and single-cell analysis. The SYK-related subtypes were identified via a Consensus Cluster Plus analysis. Results: SYK was significantly differentially expressed in multiple tumors and normal tissues. Importantly, high-expression SYK was enriched in malignant phenotypes of diffuse gliomas, which was further validated by qPCR and IHC. Survival analysis uncovered that SYK was an independently unfavorable prognostic marker in diffuse glioma. Functional enrichment analysis and immune and stromal infiltration analyses showed that SYK was involved in shaping the immunosuppressive microenvironment of diffuse glioma. Additionally, SYK expression was closely associated with some immune checkpoint molecules and M2 macrophage infiltration, which was validated by IHC and single-cell analysis. Diffuse glioma with Sub1 exhibited a worse prognosis, immunosuppressive microenvironment, and higher expression of immune checkpoint genes. Conclusion: SYK is involved in shaping the immunosuppressive microenvironment and served as a promising prognosis biomarker and immunotherapeutic target for diffuse glioma.

Receptor of Advanced Glycation End Products Deficiency Attenuates Cisplatin-Induced Acute Nephrotoxicity by Inhibiting Apoptosis, Inflammation and Restoring Fatty Acid Oxidation.

Cisplatin is a widely used and potent anti-neoplastic agent, but severe and inescapable side effects in multiple normal tissues and organs limit its application, especially nephrotoxicity. Molecular mechanisms of cisplatin nephrotoxicity involve mitochondrial damage, oxidative stress, endoplasmic reticulum stress, inflammation, apoptosis, necroptosis, etc. Receptor of advanced glycation end products (RAGE) is a multiligand pattern recognition receptor, engaged in inflammatory signaling and mitochondrial homeostasis. Whether inhibition of RAGE alleviates cisplatin-induced nephropathy has not been investigated. Here, we revealed that RAGE deficiency attenuates cisplatin-induced acute nephrotoxicity, as evidenced by reduced apoptosis, inflammation, lipid accumulation, restored mitochondrial homeostasis and fatty acid oxidation in renal tubular epithelial cells (TECs). In vitro studies showed that, the RAGE-specific inhibitor FPS-ZM1 attenuated the cisplatin-induced decrease of cell viability and fatty acid oxidation in the normal rat renal TEC line NRK-52E cells. Taken together, RAGE knockout mitigated cisplatin-induced acute nephrotoxicity by inhibiting apoptosis, inflammation, and restoring fatty acid oxidation in TECs, suggesting that RAGE inhibition could be a therapeutic option for cisplatin-induced acute nephrotoxicity.

Pan-cancer analysis of microRNA expression profiles highlights microRNAs enriched in normal body cells as effective suppressors of multiple tumor types: A study based on TCGA database

BackgroundMicroRNAs (miRNAs) are frequently deregulated in various types of cancer. While antisense oligonucleotides are used to block oncomiRs, delivery of tumour-suppressive miRNAs holds great potential as a potent anti-cancer strategy. Here, we aim to determine, and functionally analyse, miRNAs that are lowly expressed in various types of tumour but abundantly expressed in multiple normal tissues.MethodsThe miRNA sequencing data of 14 cancer types were downloaded from the TCGA dataset. Significant differences in miRNA expression between tumor and normal samples were calculated using limma package (R programming). An adjusted p value < 0.05 was used to compare normal versus tumor miRNA expression profiles. The predicted gene targets were obtained using TargetScan, miRanda, and miRDB and then subjected to gene ontology analysis using Enrichr. Only GO terms with an adjusted p < 0.05 were considered statistically significant. All data from wet-lab experiments (cell viability assays and flow cytometry) were expressed as means ± SEM, and their differences were analyzed using GraphPad Prism software (Student’s t test, p < 0.05).ResultsBy compiling all publicly available miRNA profiling data from The Cancer Genome Atlas (TCGA) Pan-Cancer Project, we reveal a small set of tumour-suppressing miRNAs (which we designate as ’normomiRs’) that are highly expressed in 14 types of normal tissues but poorly expressed in corresponding tumour tissues. Interestingly, muscle-enriched miRNAs (e.g. miR-133a/b and miR-206) and miRNAs from DLK1-DIO3 locus (e.g. miR-381 and miR-411) constitute a large fraction of the normomiRs. Moreover, we define that the CCCGU motif is absent in the oncomiRs’ seed sequences but present in a fraction of tumour-suppressive miRNAs. Finally, the gain of function of candidate normomiRs across several cancer cell types indicates that miR-206 and miR-381 exert the most potent inhibition on multiple cancer types in vitro.ConclusionOur results reveal a pan-cancer set of tumour-suppressing miRNAs and highlight the potential of miRNA-replacement therapies for targeting multiple types of tumour.

Overexpression of CDCA8 Predicts Poor Prognosis and Promotes Tumor Cell Growth in Prostate Cancer.

Human cell division cycle-related protein 8 (CDCA8) is an essential component of the vertebrate chromosomal passenger complex (CPC). CDCA8 was confirmed to play a role in promoting malignant tumor progression. However, the exact function of CDCA8 in the development and progression of prostate cancer (PCa) remains unclear. In this study, the database GSE69223 was downloaded by the gene expression omnibus (GEO) database, as well as CDCA8 expression differences in multiple tumor tissues and normal tissues were detected by The Cancer Genome Atlas (TCGA), TIMER, Oncomine, and Ualcan databases. Kaplan-Meier and Cox regression methods were used to analyze the correlation between CDCA8 expression and prognosis in PCa. We confirmed the expression of CDCA8 in PCa tissues by HPA. We also analyzed the association of CDCA8 expression with PCa clinical characteristics in the TCGA database. To further understand the role of CDCA8 in PCa, we assessed the effects of CDCA8 on PCa cell growth, proliferation, and migration in vitro studies. As a result, CDCA8 was significantly overexpressed in PCa cells compared with normal prostate cells. High CDCA8 expression predicts poor prognosis in PCa patients, and CDCA8 expression was higher in high-grade PCa. In addition, silencing of CDCA8 significantly inhibited PCa cell proliferation and migration. In summary, CDCA8 promoted the proliferation and migration of PCa cells.

Common Postzygotic Mutational Signatures in Healthy Adult Tissues Related to Embryonic Hypoxia

Postzygotic mutations are acquired in normal tissues throughout an individual’s lifetime and hold clues for identifying mutagenic factors. Here, we investigated postzygotic mutation spectra of healthy individuals using optimized ultra-deep exome sequencing of the time-series samples from the same volunteer as well as the samples from different individuals. In blood, sperm, and muscle cells, we resolved three common types of mutational signatures. Signatures A and B represent clock-like mutational processes, and the polymorphisms of epigenetic regulation genes influence the proportion of signature B in mutation profiles. Notably, signature C, characterized by C>T transitions at GpCpN sites, tends to be a feature of diverse normal tissues. Mutations of this type are likely to occur early during embryonic development, supported by their relatively high allelic frequencies, presence in multiple tissues, and decrease in occurrence with age. Almost none of the public datasets for tumors feature this signature, except for 19.6% of samples of clear cell renal cell carcinoma with increased activation of the hypoxia-inducible factor 1 (HIF-1) signaling pathway. Moreover, the accumulation of signature C in the mutation profile was accelerated in a human embryonic stem cell line with drug-induced activation of HIF-1α. Thus, embryonic hypoxia may explain this novel signature across multiple normal tissues. Our study suggests that hypoxic condition in an early stage of embryonic development is a crucial factor inducing C>T transitions at GpCpN sites; and individuals’ genetic background may also influence their postzygotic mutation profiles.

CTHRC1 Is a Prognostic Biomarker and Correlated With Immune Infiltrates in Kidney Renal Papillary Cell Carcinoma and Kidney Renal Clear Cell Carcinoma.

Kidney renal clear cell carcinoma (KIRC) and kidney renal papillary cell carcinoma (KIRP) are the most common RCC types. RCC has high immune infiltration levels, and immunotherapy is currently one of the most promising treatments for RCC. Collagen triple helix repeat containing 1 (CTHRC1) is an extracellular matrix protein that regulates tumor invasion and modulates the tumor microenvironment. However, the association of CTHRC1 with the prognosis and tumor-infiltrating lymphocytes of KIRP and KIRC has not been reported. We examined the CTHRC1 expression differences in multiple tumor tissues and normal tissues via exploring TIMER, Oncomine, and UALCAN databases. Then, we searched the Kaplan-Meier plotter database to evaluate the correlation of CTHRC1 mRNA level with clinical outcomes. Subsequently, the TIMER platform and TISIDB website were chosen to assess the correlation of CTHRC1 with tumor immune cell infiltration level. We further explored the causes of aberrant CTHRC1 expression in tumorigenesis. We found that CTHRC1 level was significantly elevated in KIRP and KIRC tissues relative to normal tissues. CTHRC1 expression associates with tumor stage, histology, lymph node metastasis, and poor clinical prognosis in KIRP. The CTHRC1 level correlates to tumor grade, stage, nodal metastasis, and worse survival prognosis. Additionally, CTHRC1 is positively related to different tumor-infiltrating immune cells in KIRP and KIRC. Moreover, CTHRC1 was closely correlated with the gene markers of diverse immune cells. Also, high CTHRC1 expression predicted a worse prognosis in KIRP and KIRC based on immune cells. Copy number variations (CNV) and DNA methylation might contribute to the abnormal upregulation of CTHRC1 in KIRP and KIRC. In conclusion, CTHRC1 can serve as a biomarker to predict the prognosis and immune infiltration in KIRP and KIRC.

The Clinical Features, Prognostic Significance, and Immune Heterogeneity of CD37 in Diffuse Glioma

Diffuse glioma is the most prevalent and lethal brain tumor. The effect of CD37 is remaining largely unknown in diffuse glioma. In this study, we enrolled multiple normal tissues and tumor samples, including more than 2000 glioma samples, with the expression profiles and clinical data through available public databases. Pan-cancer differential analysis indicated that CD37 was abnormally expressed in diverse cancers, especially glioma. We found that CD37 expression was up-regulated in the higher grade and IDH or IDH1-wildtype glioma in the several databases, which were further validated in our data by qPCR. The Kaplan-Meier curve, univariate and multivariate Cox analysis revealed that CD37 serves as an independent factor for diffuse glioma, with an unfavorable prognosis. Gene ontology (GO) enrichment analysis and gene set enrichment analysis (GSEA) exhibited CD37 is associated with immunological processes. Moreover, immune infiltration analyses suggested that glioma with high-expression CD37 had a higher infiltrating abundance of M2 macrophages and neutrophils, and lower NK cell abundance. Besides, CD37 was closely corrected with some immune checkpoint molecules, including CD276, CD80, CD86, PD-L2. In conclusion, our results indicated CD37 plays an independent prognostic factor and immunosuppressive role, and therapies targeting CD37 could be a promising immunotherapeutic strategy for diffuse glioma.