Recognizing Pattern and Rule of Mutation Signatures Corresponding to Cancer Types
Ontology highlight
ABSTRACT:
SUBMITTER: Chen L
PROVIDER: S-EPMC8427289 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:A dysbiotic microbiome can potentially contribute to the pathogenesis of many different diseases including cancer. Breast cancer is the second leading cause of cancer death in women. Thus, we investigated the diversity of the microbiome in the four major types of breast cancer: endocrine receptor (ER) positive, triple positive, Her2 positive and triple negative breast cancers. Using a whole genome and transcriptome amplification and a pan-pathogen microarray (PathoChip) strategy, we detected unique and common viral, bacterial, fungal and parasitic signatures for each of the breast cancer types. These were validated by PCR and Sanger sequencing. Hierarchical cluster analysis of the breast cancer samples, based on their detected microbial signatures, showed distinct patterns for the triple negative and triple positive samples, while the ER positive and Her2 positive samples shared similar microbial signatures. These signatures, unique or common to the different breast cancer types, provide a new line of investigation to gain further insights into prognosis, treatment strategies and clinical outcome, as well as better understanding of the role of the micro-organisms in the development and progression of breast cancer.
| S-EPMC5962706 | biostudies-literature
Project description:Colorectal cancer (CRC) harbors genetic alterations in a component of the Wnt signaling pathway in ~90% of cases. In addition, the Wnt signaling pathway has been previously suggested to serve a notable role in the pathophysiology of CRC cells and cancer-associated fibroblasts (CAFs). In the present study, the possible effects of E7386, a selective inhibitor of the interaction between β-catenin and the cAMP response element-binding protein-binding protein, were evaluated using organoids and the corresponding CAFs derived from patients with CRC. E7386 at 100 nM was revealed to decrease the viability of CRC organoids and CAFs. Analysis of the gene expression profiles revealed marked changes in the expression levels of different types of cancer-associated genes associated with E7386 concentrations in the organoids and/or CAFs, such as those regulating glucose and amino acid metabolism [phosphoenolpyruvate carboxykinase 2, asparagine synthetase (glutamine-hydrolyzing), phosphoserine aminotransferase 1 and phosphoglycerate dehydrogenase], stimulation of natural killer cell-mediated cytotoxicity (UL16-binding protein 1) and modification of the Wnt/β-catenin signaling pathway (indicated by very low density lipoprotein receptor). Results of the hydrophilic metabolome analysis in the organoids were consistent with those of the transcriptomic analysis. In vivo experiments used corresponding xenograft models, although changes in volume of tumor tissues could not be observed at 50 mg/kg body weight twice a day for 14 days, results on the protein expression levels partially supported those in the in vitro experiments. In conclusion, different types of reactions, such as alterations in the glucose and amino acid metabolic pathways, stimulation of stress responses and NK-cell mediated cytotoxicity and components in the Wnt/β-catenin signaling pathway, to E7386 in the CRC organoids and corresponding CAFs were observed under conditions with decreased cell viability. However, further mechanistic studies to clarify the relationships with Wnt/β-catenin signaling pathway and these reactions using preclinical models and biomarker studies using clinical human samples are required for verification of the present preclinical biomarkers.
| S-EPMC9178669 | biostudies-literature
Project description:BackgroundAlu elements are the most abundant retrotransposable elements comprising ~11% of the human genome. Many studies have highlighted the role that Alu elements have in genetic instability and how their contribution to the assortment of mutagenic events can lead to cancer. As of yet, little has been done to quantitatively assess the association between Alu distribution and genes that are causally implicated in oncogenesis.ResultsWe have investigated the effect of various Alu densities on the mutation type based classifications of cancer genes. In order to establish the direct relationship between Alus and the cancer genes of interest, genome wide Alu-related densities were measured using genes rather than the sliding windows of fixed length as the units. Several novel genomic features, such as the density of the adjacent Alu pairs and the number of Alu-Exon-Alu triplets, were developed in order to extend the investigation via the multivariate statistical analysis toward more advanced biological insight. In addition, we characterized the genome-wide intron Alu distribution with a mixture model that distinguished genes containing Alu elements from those with no Alus, and evaluated the gene-level effect of the 5'-TTAAAA motif associated with Alu insertion sites using a two-step regression analysis method.ConclusionsThe study resulted in several novel findings worthy of further investigation. They include: (1) Recessive cancer genes (tumor suppressor genes) are enriched with Alu elements (p < 0.01) compared to dominant cancer genes (oncogenes) and the entire set of genes in the human genome; (2) Alu-related genomic features can be used to cluster cancer genes into biological meaningful groups; (3) The retention of exon Alus has been restricted in the human genome development, and an upper limit to the chromosome-level exon Alu densities is suggested by the distribution profile; (4) For the genes with at least one intron Alu repeat in individual chromosomes, the intron Alu densities can be well fitted by a Gamma distribution; (5) The effect of the 5'-TTAAAA motif on Alu densities varies across different chromosomes.
| S-EPMC3074553 | biostudies-literature
Project description:Multiple endogenous and exogenous sources of DNA damage contribute to the overall mutation burden in cancer, with distinct and overlapping combinations contributing to each cancer type. Many mutation sources result in characteristic mutation signatures, which can be deduced from tumor genomic DNA sequences. Examples include spontaneous hydrolytic deamination of methyl-cytosine bases in CG motifs (AGEING signature) and C-to-T and C-to-G mutations in 5'-TC(A/T) motifs (APOBEC signature). The deconstructSigs R package was used to analyze single base substitution mutation signatures in over 1000 cancer cell lines. Two additional approaches were used to analyze the APOBEC mutation signature. Most cell lines show evidence for multiple mutation signatures. For instance, the AGEING signature, which is the largest source of mutation in most primary tumors, predominates in the majority of cancer cell lines. The APOBEC mutation signature is enriched in cancer cell lines from breast, lung, head/neck, bladder, and cervical cancers, where this signature also comprises a large fraction of all mutations. The single base substitution mutation signatures of cancer cell lines often reflect those of the original tumors from which they are derived. Cancer cell lines with enrichments for distinct mutation signatures such as APOBEC have the potential to become model systems for fundamental research on the underlying mechanisms and for advancing clinical strategies to exploit these processes.
| S-EPMC5993214 | biostudies-literature
Project description:BackgroundAlthough metabolism is profoundly altered in human liver cancer, the extent to which experimental models, e.g. cell lines, mimic those alterations is unresolved. Here, we aimed to determine the resemblance of hepatocellular carcinoma (HCC) cell lines to human liver tumours, specifically in the expression of deregulated metabolic targets in clinical tissue samples.MethodsWe compared the overall gene expression profile of poorly-differentiated (HLE, HLF, SNU-449) to well-differentiated (HUH7, HEPG2, HEP3B) HCC cell lines in three publicly available microarray datasets. Three thousand and eighty-five differentially expressed genes in ?2 datasets (P?<?0.05) were used for pathway enrichment and gene ontology (GO) analyses. Further, we compared the topmost gene expression, pathways, and GO from poorly differentiated cell lines to the pattern from four human HCC datasets (623 tumour tissues). In well- versus poorly differentiated cell lines, and in representative models HLE and HUH7 cells, we specifically assessed the expression pattern of 634 consistently deregulated metabolic genes in human HCC. These data were complemented by quantitative PCR, proteomics, metabolomics and assessment of response to thirteen metabolism-targeting compounds in HLE versus HUH7 cells.ResultsWe found that poorly-differentiated HCC cells display upregulated MAPK/RAS/NFkB signaling, focal adhesion, and downregulated complement/coagulation cascade, PPAR-signaling, among pathway alterations seen in clinical tumour datasets. In HLE cells, 148 downregulated metabolic genes in liver tumours also showed low gene/protein expression - notably in fatty acid ?-oxidation (e.g. ACAA1/2, ACADSB, HADH), urea cycle (e.g. CPS1, ARG1, ASL), molecule transport (e.g. SLC2A2, SLC7A1, SLC25A15/20), and amino acid metabolism (e.g. PHGDH, PSAT1, GOT1, GLUD1). In contrast, HUH7 cells showed a higher expression of 98 metabolic targets upregulated in tumours (e.g. HK2, PKM, PSPH, GLUL, ASNS, and fatty acid synthesis enzymes ACLY, FASN). Metabolomics revealed that the genomic portrait of HLE cells co-exist with profound reliance on glutamine to fuel tricarboxylic acid cycle, whereas HUH7 cells use both glucose and glutamine. Targeting glutamine pathway selectively suppressed the proliferation of HLE cells.ConclusionsWe report a yet unappreciated distinct expression pattern of clinically-relevant metabolic genes in HCC cell lines, which could enable the identification and therapeutic targeting of metabolic vulnerabilities at various liver cancer stages.
| S-EPMC6122702 | biostudies-literature
Project description:BackgroundMutation rates are consistently varied in cancer genome and play an important role in tumorigenesis, however, little has been known about their function potential and impact on the distribution of functional mutations. In this study, we investigated genomic features which affect mutation pattern and the function importance of mutation pattern in cancer.MethodsSomatic mutations of clear-cell renal cell carcinoma, liver cancer, lung cancer and melanoma and single nucleotide polymorphisms (SNPs) were intersected with 54 distinct genomic features. Somatic mutation and SNP densities were then computed for each feature type. We constructed 2856 1-Mb windows, in which each row (1-Mb window) contains somatic mutation, SNP densities and 54 feature vectors. Correlation analyses were conducted between somatic mutation, SNP densities and each feature vector. We also built two random forest models, namely somatic mutation model (CSM) and SNP model to predict somatic mutation and SNP densities on a 1-Kb scale. The relation of CSM and SNP scores was further analyzed with the distributions of deleterious coding variants predicted by SIFT and Mutation Assessor, non-coding functional variants evaluated with FunSeq 2 and GWAVA and disease-causing variants from HGMD and ClinVar databases.ResultsWe observed a wide range of genomic features which affect local mutation rates, such as replication time, transcription levels, histone marks and regulatory elements. Repressive histone marks, replication time and promoter contributed most to the CSM models, while, recombination rate and chromatin organizations were most important for the SNP model. We showed low mutated regions preferentially have higher densities of deleterious coding mutations, higher average scores of non-coding variants, higher fraction of functional regions and higher enrichment of disease-causing variants as compared to high mutated regions.ConclusionsSomatic mutation densities vary largely across cancer genome, mutation frequency is a major indication of function and influence on the distribution of functional mutations in cancer.
| S-EPMC4748466 | biostudies-literature
Project description:Among the few non-structural proteins encoded by the picornaviral genome, the 2A protein is particularly special, irrespective of structure or function. During the evolution of the Picornaviridae family, the 2A protein has been highly non-conserved. We believe that the 2A protein in this family can be classified into at least five distinct types according to previous studies. These five types are (A) chymotrypsin-like 2A, (B) Parechovirus-like 2A, (C) hepatitis-A-virus-like 2A, (D) Aphthovirus-like 2A, and (E) 2A sequence of the genus Cardiovirus. We carried out a phylogenetic analysis and found that there was almost no homology between each type. Subsequently, we aligned the sequences within each type and found that the functional motifs in each type are highly conserved. These different motifs perform different functions. Therefore, in this review, we introduce the structures and functions of these five types of 2As separately. Based on the structures and functions, we provide suggestions to combat picornaviruses. The complexity and diversity of the 2A protein has caused great difficulties in functional and antiviral research. In this review, researchers can find useful information on the 2A protein and thus conduct improved antiviral research.
| S-EPMC5519566 | biostudies-literature
Project description:Cancer-testis (CT) genes represent the similarity between the processes of spermatogenesis and tumorigenesis. It is possible that their selective expression pattern can help identify driver genes in cancer. In this study, we integrate transcriptomics data from multiple databases and systematically identify 876 new CT genes in 19 cancer types. We explore their relationship with testis-specific regulatory elements. We propose that extremely highly expressed CT genes (EECTGs) are potential drivers activated through epigenetic mechanisms. We find mutually exclusive associations between EECTGs and somatic mutations in mutated genes, such as PIK3CA in breast cancer. We also provide evidence that promoter demethylation and close non-coding RNAs (namely, CT-ncRNAs) may be two mechanisms to reactivate EECTG gene expression. We show that the meiosis-related EECTG (MEIOB) and its nearby CT-ncRNA have a role in tumorigenesis in lung adenocarcinoma. Our findings provide methods for identifying epigenetic-driver genes of cancer, which could serve as targets of future cancer therapies.
| S-EPMC4737856 | biostudies-literature
Project description:BackgroundAristolochic acid (AA) is a natural compound found in many plants of the Aristolochia genus, and these plants are widely used in traditional medicines for numerous conditions and for weight loss. Previous work has connected AA-mutagenesis to upper-tract urothelial cell carcinomas and hepatocellular carcinomas. We hypothesize that AA may also contribute to bladder cancer.MethodsHere, we investigated the involvement of AA-mutagenesis in bladder cancer by sequencing bladder tumor genomes from two patients with known exposure to AA. After detecting strong mutational signatures of AA exposure in these tumors, we exome-sequenced and analyzed an additional 11 bladder tumors and analyzed publicly available somatic mutation data from a further 336 bladder tumors.ResultsThe somatic mutations in the bladder tumors from the two patients with known AA exposure showed overwhelming AA signatures. We also detected evidence of AA exposure in 1 out of 11 bladder tumors from Singapore and in 3 out of 99 bladder tumors from China. In addition, 1 out of 194 bladder tumors from North America showed a pattern of mutations that might have resulted from exposure to an unknown mutagen with a heretofore undescribed pattern of A > T mutations. Besides the signature of AA exposure, the bladder tumors also showed the CpG > TpG and activated-APOBEC signatures, which have been previously reported in bladder cancer.ConclusionsThis study demonstrates the utility of inferring mutagenic exposures from somatic mutation spectra. Moreover, AA exposure in bladder cancer appears to be more pervasive in the East, where traditional herbal medicine is more widely used. More broadly, our results suggest that AA exposure is more extensive than previously thought both in terms of populations at risk and in terms of types of cancers involved. This appears to be an important public health issue that should be addressed by further investigation and by primary prevention through regulation and education. In addition to opportunities for primary prevention, knowledge of AA exposure would provide opportunities for secondary prevention in the form of intensified screening of patients with known or suspected AA exposure.
| S-EPMC4443665 | biostudies-literature
Project description:A triplex-forming oligonucleotide (TFO) could be a useful molecular tool for gene therapy and specific gene modification. However, unmodified TFOs have two serious drawbacks: low binding affinities and high sequence-dependencies. In this paper, we propose a new strategy that uses a new set of modified nucleobases for four-base recognition of TFOs, and thereby overcome these two drawbacks. TFOs containing a 2'-deoxy-4N-(2-guanidoethyl)-5-methylcytidine (d(g)C) residue for a C-G base pair have higher binding and base recognition abilities than those containing 2'-OMe-4N-(2-guanidoethyl)-5-methylcytidine (2'-OMe (g)C), 2'-OMe-4N-(2-guanidoethyl)-5-methyl-2-thiocytidine (2'-OMe (g)Cs), d(g)C and 4S-(2-guanidoethyl)-4-thiothymidine ((gs)T). Further, we observed that N-acetyl-2,7-diamino-1,8-naphtyridine ((DA)Nac) has a higher binding and base recognition abilities for a T-A base pair compared with that of dG and the other DNA derivatives. On the basis of this knowledge, we successfully synthesized a fully modified TFO containing (DA)Nac, d(g)C, 2'-OMe-2-thiothymidine (2'-OMe (s)T) and 2'-OMe-8-thioxoadenosine (2'-OMe (s)A) with high binding and base recognition abilities. To the best of our knowledge, this is the first report in which a fully modified TFO accurately recognizes a complementary DNA duplex having a mixed sequence under neutral conditions.
| S-EPMC4499124 | biostudies-literature