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At least 433 records · Page 24Linked to original sources

Longitudinal profiling of IDH-mutant astrocytomas reveals acquired RAS-MAPK pathway mutations associated with inferior survival.

BACKGROUND: Isocitrate dehydrogenase (IDH)-mutant astrocytomas represent the most frequent primary intraparenchymal brain tumor in young adults, which typically arise as low-grade neoplasms that often progress and transform to higher grade despite current therapeutic approaches. However, the genetic alterations underlying high-grade transformation and disease progression of IDH-mutant astrocytomas remain inadequately defined. METHODS: Genomic profiling was performed on 205 IDH-mutant astrocytomas from 172 patients from both initial treatment-naive and recurrent post-treatment tumor specimens. Molecular findings were integrated with clinical outcomes and pathologic features to define the associations of novel genetic alterations in the RAS-MAPK signaling pathway. RESULTS: Likely oncogenic alterations within the RAS-MAPK mitogenic signaling pathway were identified in 13% of IDH-mutant astrocytomas, which involved the KRAS, NRAS, BRAF, NF1, SPRED1, and LZTR1 genes. These included focal amplifications and known activating mutations in oncogenic components (e.g. KRAS, BRAF), as well as deletions and truncating mutations in negative regulatory components (e.g. NF1, SPRED1). These RAS-MAPK pathway alterations were enriched in recurrent tumors and occurred nearly always in high-grade tumors, often co-occurring with CDKN2A homozygous deletion. Patients whose IDH-mutant astrocytomas harbored these oncogenic RAS-MAPK pathway alterations had inferior survival compared to those with RAS-MAPK wild-type tumors. CONCLUSIONS: These findings highlight novel genetic perturbations in the RAS-MAPK pathway as a likely mechanism contributing to the high-grade transformation and treatment resistance of IDH-mutant astrocytomas that may be a potential therapeutic target for affected patients and used for future risk stratification.

IDH1 mutation↗

Integrating clinical and genomic features to predict response to neoadjuvant therapy in microsatellite-stable rectal cancer.

BACKGROUND: Neoadjuvant therapy (NAT) has shifted rectal cancer management toward organ preservation. However, achieving a complete response (CR) for "watch-and-wait" strategies is hindered by high response heterogeneity. Although immunotherapy-combined NAT has expanded the candidate pools, the predictive significance of molecular alterations remains unclear. OBJECTIVES: This study aimed to evaluate clinical and genomic profiles of rectal cancer patients undergoing NAT to identify response predictors and to develop a nomogram for estimating CR probability. DESIGN: Retrospective, single-center cohort study. METHODS: This study included 437 patients with rectal adenocarcinoma at Fudan University Shanghai Cancer Center between December 2019 and March 2023. Patients underwent paired tumor and germline genomic sequencing (887-gene panel) before NAT. Logistic and Cox regression analyses were performed to identify clinical and genetic risk factors associated with tumor response and long-term survival. RESULTS: Of the 437 patients, 96.6% had microsatellite-stable (MSS) tumors. In the MSS locally advanced rectal cancer cohort (N = 307), the CR rate was 35.5%. Multivariate analysis identified immunotherapy-combined NAT (iTNT) (OR 4.41, 95% CI: 2.42-8.27), SYNE1 mutation (OR 2.12, 95% CI: 1.06-4.26), negative mesorectal fascia (MRF) status (OR 0.34, 95% CI: 0.17-0.66), and lower tumor location (OR 0.48, 95% CI: 0.27-0.84) as independent predictors of CR. KRAS mutation was the sole independent predictor of reduced disease-free survival (DFS; HR 1.93, 95% CI: (1.11-3.36), p = 0.020). KRAS G12D subtype was associated with the worst 2-year distant metastasis-free survival (71.3%) and exhibited a distinct predilection for lung metastasis. The clinical-genomic nomogram yielded strong discrimination (AUC = 0.705) and calibration, with favorable DCA net benefit. CONCLUSION: Clinical and genomic features jointly determine outcomes in MSS rectal cancer. SYNE1 mutation serves as a novel biomarker for CR, while KRAS mutations, especially the G12D subtype, identify patients at high risk for systemic relapse. The clinical-genomic nomogram facilitates individualized selection for organ-preservation strategies.

biomarker↗

Assessment of genome and proteome profiles in cocaine abuse.

Until recently, knowledge of the impact of abuse drugs on gene and protein expression in the brain was limited to less than 100 targets. With the advent of high-throughput genomic and proteomic techniques investigators are now able to evaluate changes across the entire genome and across thousands of proteins in defined brain regions and generate expression profiles of vulnerable neuroanatomical substrates in rodent and non-human primate drug abuse models and in human post-mortem brain tissue from drug abuse victims. The availability of gene and protein expression profiles will continue to expand our understanding of the short- and long-term consequences of drug addiction and other addictive disorders and may provide new approaches or new targets for pharmacotherapeutic intervention. This chapter will review gene expression data from rodent, non-human primate and human post-mortem studies of cocaine abuse and will provide a preliminary proteomic profile of human cocaine abuse and explore how these studies have advanced our understanding of addiction.

Animals↗

Incidence of group C human rotavirus in central Australia and sequence variation of the VP7 and VP4 genes.

Human group C rotavirus was identified in central Australia in each of eight years over a 16-year period between 1982 and 1997. Cases occurred either sporadically but over a relatively short period of time or as clustered outbreaks. These are the only reports of human group C rotavirus in Australia other than that of a single case reported approximately 1,800 km away in 1982. The electrophoretic genome profiles of isolates were identical for all those identified within the same year but different between those identified in different years. The VP7 genes of four isolates identified in four different years over a 7-year period between 1987 and 1993, and the VP4 genes of two of these isolates showed relatively little variation in genome and deduced amino acid sequence upon comparison of the equivalent genes between isolates. The sequences were also very similar to those from the corresponding genes from most of the human group C rotavirus isolates from other countries. This continues the observation of a high degree of gene sequence conservation among human group C rotaviruses worldwide.

Amino Acid Sequence↗

Predicting risk of breast cancer recurrence using gene-expression profiling.

The molecular profiling of breast tumors using the powerful microarray technology has uncovered the molecular heterogeneity of breast tumors and has offered novel insight into breast tumorigenesis. The estrogen receptor (ER) has been shown to be the most important discriminator dichotomizing breast cancer into two main subsets. At the same time, proliferation, as captured by the recently developed Genomic Grade Index (GGI) has been found to be the most important prognostic factor in breast cancer, far beyond ER status. Interestingly, this index encompasses a significant portion of the predictive power of many published prognostic signatures. The challenge now is to integrate all the prognostic gene signatures available to date towards a comprehensive genomic fingerprint of the primary tumor. In the future, we should be able to offer individualized treatment to our patients based on a clinical decision-making algorithm that takes into account the clinicopathological parameters, the genomic profile of the primary tumor, the presence of micrometastatic cells and pharmacogenetic data for drug response.

Animals↗

Reference-Free Microsatellite Instability Detection from Tumor Sequencing Using Intrasample Variability Modeling.

Microsatellite instability (MSI) is a predictive biomarker in several tumor types. However, many next-generation sequencing-based callers require matched normal samples, reference panels, or pretrained models, limiting their portability across assays and sequencing centers. We developed PROMIS (PROfiling of Microsatellite InStability), a tumor-only, reference-free pipeline that uses a discrete mixture model to characterize intrasample repeat-length distributions at predefined microsatellite loci. Locus-level classifications are then aggregated into a continuous MSI score. We benchmarked PROMIS in colorectal (CRC), endometrial (UCEC), and gastric (STAD) cancers from The Cancer Genome Atlas. PROMIS achieved an overall area under the receiver operating characteristic curve (AUC) of 0.995 and cohort-specific AUCs of 1.00 in CRC and stomach adenocarcinoma and 0.999 in uterine corpus endometrial carcinoma, comparable to established tools despite not using matched normals or pretrained models. Subsampling demonstrated robust performance with substantially fewer loci. In silico dilution showed progressively reduced MSI-microsatellite-stable discrimination, with the pooled AUC declining from 0.83 at 10% tumor fraction to 0.53 at 1%. At low tumor fractions, tumor-type-specific baseline microsatellite variability increasingly influenced PROMIS scores. Finally, in prostate and CRC cell-free DNA cohorts, including Illumina TSO500 data and an 18-gene panel, PROMIS yielded MSI scores concordant with orthogonal tissue- and panel-based classifications across the evaluated Illumina-based sequencing contexts. Accordingly, the present validation should be considered limited to Illumina-based sequencing platforms. PROMIS is intended to complement existing genomic profiling workflows by enabling MSI assessment from sequencing data already generated for broader molecular analyses. Prospective clinical validation remains necessary before clinical implementation.

Journal Article↗

Genetic composition and complexity of virus populations at tungro-endemic and outbreak rice sites.

We have recently demonstrated the geographic isolation of rice tungro bacilliform virus (RTBV) populations in the tungro-endemic provinces of Isabela and North Cotabato, Philippines. In this study, we examined the genetic structure of the virus populations at the tungro-outbreak sites of Lanao del Norte, a province adjacent to North Cotabato. We also analyzed the virus populations at the tungro-endemic sites of Subang, Indonesia, and Dien Khanh, Vietnam. Total DNA extracts from 274 isolates were digested with EcoRV restriction enzyme and hybridized with a full-length probe of RTBV. In the total population, 22 EcoRV-restricted genome profiles (genotypes) were identified. Although overlapping genotypes could be observed, the outbreak sites of Lanao del Norte had a genotype combination distinct from that of Subang or Dien Khanh but a genotype combination similar to that identified earlier from North Cotabato, the adjacent endemic province. Sequence analysis of the intergenic region and part of the ORF1 RTBV genome from randomly selected genotypes confirms the geographic clustering of RTBV genotypes and, combined with restriction analysis, the results suggest a fragmented spatial distribution of RTBV local populations in the three countries. Because RTBV depends on rice tungro spherical virus (RTSV) for transmission, the population dynamics of both tungro viruses were then examined at the endemic and outbreak sites within the Philippines. The RTBV genotypes and the coat protein RTSV genotypes were used as indicators for virus diversity. A shift in population structure of both viruses was observed at the outbreak sites with a reduced RTBV but increased RTSV gene diversity.

Badnavirus↗

Molecular dynamics of the Shewanella oneidensis response to chromate stress.

Temporal genomic profiling and whole-cell proteomic analyses were performed to characterize the dynamic molecular response of the metal-reducing bacterium Shewanella oneidensis MR-1 to an acute chromate shock. The complex dynamics of cellular processes demand the integration of methodologies that describe biological systems at the levels of regulation, gene and protein expression, and metabolite production. Genomic microarray analysis of the transcriptome dynamics of midexponential phase cells subjected to 1 mm potassium chromate (K(2)CrO(4)) at exposure time intervals of 5, 30, 60, and 90 min revealed 910 genes that were differentially expressed at one or more time points. Strongly induced genes included those encoding components of a TonB1 iron transport system (tonB1-exbB1-exbD1), hemin ATP-binding cassette transporters (hmuTUV), TonB-dependent receptors as well as sulfate transporters (cysP, cysW-2, and cysA-2), and enzymes involved in assimilative sulfur metabolism (cysC, cysN, cysD, cysH, cysI, and cysJ). Transcript levels for genes with annotated functions in DNA repair (lexA, recX, recA, recN, dinP, and umuD), cellular detoxification (so1756, so3585, and so3586), and two-component signal transduction systems (so2426) were also significantly up-regulated (p < 0.05) in Cr(VI)-exposed cells relative to untreated cells. By contrast, genes with functions linked to energy metabolism, particularly electron transport (e.g. so0902-03-04, mtrA, omcA, and omcB), showed dramatic temporal alterations in expression with the majority exhibiting repression. Differential proteomics based on multidimensional HPLC-MS/MS was used to complement the transcriptome data, resulting in comparable induction and repression patterns for a subset of corresponding proteins. In total, expression of 2,370 proteins were confidently verified with 624 (26%) of these annotated as hypothetical or conserved hypothetical proteins. The initial response of S. oneidensis to chromate shock appears to require a combination of different regulatory networks that involve genes with annotated functions in oxidative stress protection, detoxification, protein stress protection, iron and sulfur acquisition, and SOS-controlled DNA repair mechanisms.

Anion Transport Proteins↗

Genomic diversity of the genus Stenotrophomonas.

The clinical and environmental importance of Stenotrophomonas bacteria requires thorough, molecular studies on their epidemiology and taxonomy. In order to obtain a complete genomic profile of this genus, over 100 Stenotrophomonas maltophilia strains from various origins were investigated by AFLP fingerprinting. A subset of these strains was analysed by DNA hybridization and 16S rDNA sequencing. In contrast to their high phenotypic homogeneity, the strains were found to be very heterogeneous genotypically by AFLP fingerprinting. Nevertheless, ten cores of highly similar strains representing ten genomic groups were observed. The same groups could be retrieved by DNA hybridizations and also, partly, by 16S rDNA sequence analysis. The intergroup DNA similarities were too high to create confident species delineations, neither could the genomic groups be characterized by phenotypic features.

Animals↗

Typing of strains from a single-source outbreak of Pseudomonas pickettii.

Plasmid profiles, genome restriction fragment polymorphisms, carbohydrate oxidation-fermentation reactions, methylumbelliferyl substrate hydrolysis patterns, antimicrobial susceptibilities, and results obtained with the Biolog GN biochemical substrate kit were used to type 19 common-source, but mixed-biotype, outbreak strains and one epidemiologically distinct strain of Pseudomonas pickettii. Biotyping with conventional and methylumbelliferyl substrates failed to distinguish between strains. Plasmid profile testing was found to be inconsistent and not reproducible. The Biolog GN kit allowed greater strain differentiation than restriction fragment polymorphism did (12 biotypes versus 5 biotypes); antimicrobial susceptibility testing yielded 4 biotypes, and oxidation-fermentation tests gave 3 biotypes. Oxidation-fermentation results were consistent with restriction fragment polymorphs in all but 1 of the 20 strains tested. For ease of typing, comprehensive typeability, and reproducibility, oxidation-fermentation tests should be performed initially and followed if necessary by restriction fragment polymorph analysis for the elucidation of P. pickettii infection outbreaks.

Bacterial Typing Techniques↗

CAPweb: a bioinformatics CGH array Analysis Platform.

Assessing variations in DNA copy number is crucial for understanding constitutional or somatic diseases, particularly cancers. The recently developed array-CGH (comparative genomic hybridization) technology allows this to be investigated at the genomic level. We report the availability of a web tool for analysing array-CGH data. CAPweb (CGH array Analysis Platform on the Web) is intended as a user-friendly tool enabling biologists to completely analyse CGH arrays from the raw data to the visualization and biological interpretation. The user typically performs the following bioinformatics steps of a CGH array project within CAPweb: the secure upload of the results of CGH array image analysis and of the array annotation (genomic position of the probes); first level analysis of each array, including automatic normalization of the data (for correcting experimental biases), breakpoint detection and status assignment (gain, loss or normal); validation or deletion of the analysis based on a summary report and quality criteria; visualization and biological analysis of the genomic profiles and results through a user-friendly interface. CAPweb is accessible at http://bioinfo.curie.fr/CAPweb.

Chromosome Breakage↗

Intraspecific diversity of Oenococcus oeni isolated during red wine-making in Japan.

Using molecular and chemotaxonomic techniques, we studied the intraspecific diversity of Oenococcus oeni, a lactic acid bacterium isolated during red wine-making in Japan. The results confirmed high values of DNA-DNA relatedness and strong similarity among 16S rDNA sequences of the isolates with the O. oeni-type strain. Pulsed-field gel electrophoresis (PFGE) by NotI identified four patterns among the strains. Three different patterns of lactate dehydrogenase mobility were seen and there was a strong correlation between PFGE pattern and mobility. The present results suggest that the different strains of O. oeni comprise one species, and that variations in the genomic profiles of the different strains of O. oeni, including Japanese isolates are well correlated.

Base Composition↗

An oligonucleotide microchip for genome-wide microRNA profiling in human and mouse tissues.

MicroRNAs (miRNAs) are a class of small noncoding RNA genes recently found to be abnormally expressed in several types of cancer. Here, we describe a recently developed methodology for miRNA gene expression profiling based on the development of a microchip containing oligonucleotides corresponding to 245 miRNAs from human and mouse genomes. We used these microarrays to obtain highly reproducible results that revealed tissue-specific miRNA expression signatures, data that were confirmed by assessment of expression by Northern blots, real-time RT-PCR, and literature search. The microchip oligolibrary can be expanded to include an increasing number of miRNAs discovered in various species and is useful for the analysis of normal and disease states.

Adult↗

Clinicopathologic and Genomic Characterization of SMARCA4-Deficient Carcinoma of the Gallbladder.

As a key subunit of the SWItch/sucrose nonfermentable chromatin-remodeling complex, SMARCA4 plays a critical role as a tumor suppressor in various tumors. However, the clinicopathological and molecular features of SMARCA4-deficient carcinoma of the gallbladder (SMARCA4-dGBC) have not been well explored. In this study, a retrospective cohort of 926 nonsquamous cell gallbladder carcinomas (GBCs) was analyzed on tissue microarrays using immunohistochemistry for SMARCA4, comprising 813 adenocarcinomas, 53 adenosquamous carcinomas, 43 undifferentiated carcinomas, 7 sarcomatoid carcinomas, 6 small cell neuroendocrine carcinomas, and 4 large cell neuroendocrine carcinomas. Twenty-six (2.8%) SMARCA4-dGBCs were identified and further analyzed using immunohistochemistry, whole-exome sequencing, and clinicopathological data. SMARCA4-dGBCs are frequently identified in advanced stages and exhibit diverse patterns of differentiation. The majority were identified as monotonous diffuse sheets, nests, and cords, whereas a subset exhibited gland-forming and rhabdoid morphologies (11.5%). Tumors retained mismatch repair proficiency (100%) but showed variable HER2 expression (11.5% scored as 2+/3+) and limited PD-L1 positivity. Genomic profiling revealed SMARCA4 alterations in 88.5% (23/26) of patients, predominantly deletions (91.3%) and truncating mutations-p.K892&#x2217; and p.R979&#x2217;-that disrupt the critical ATPase/helicase domains. Co-occurring TP53 mutations (56.5%) highlighted the presence of synergistic chromatin-remodeling defects. Enrichment of oncogenic signaling pathways, including the RTK-RAS (78.3%), TP53 (60.9%), NOTCH (47.8%), and HIPPO (39.1%) pathways, was observed. Patients with SMARCA4-dGBC exhibited significantly shorter progression-free survival (median, 6 vs 14 months) and overall survival (median, 11 vs 16 months) than those with SMARCA4-retained tumors. Overall, these findings revealed that SMARCA4-dGBC is a rare, distinct entity characterized by the destabilization of the SWItch/sucrose nonfermentable complex, genomic instability, and resistance to conventional therapies. The prevalence of targetable pathways, such as RTK-RAS and cell cycle dysregulation, highlights opportunities for precise therapeutic strategies involving EZH2, CDK4/6, or ATR inhibitors. SMARCA4 immunohistochemistry and molecular profiling are essential for accurate diagnosis, prognostic stratification, and therapeutic innovation of this GBC subtype.

Humans↗

Schizophrenia proteomics: biomarkers on the path to laboratory medicine?

Over two million Americans are afflicted with schizophrenia, a debilitating mental health disorder with a unique symptomatic and epidemiological profile. Genomics studies have hinted towards candidate schizophrenia susceptibility chromosomal loci and genes. Modern proteomic tools, particularly mass spectrometry and expression scanning, aim to identify both pathogenic-revealing and diagnostically significant biomarkers. Only a few studies on basic proteomics have been conducted for psychiatric disorders relative to the plethora of cancer specific experiments. One such proteomic utility enables the discovery of proteins and biological marker fingerprinting profiling techniques (SELDI-TOF-MS), and then subjects them to tandem mass spectrometric fragmentation and de novo protein sequencing (MALDI-TOF/TOF-MS) for the accurate identification and characterization of the proteins. Such utilities can explain the pathogenesis of neuro-psychiatric disease, provide more objective testing methods, and further demonstrate a biological basis to mental illness. Although clinical proteomics in schizophrenia have yet to reveal a biomarker with diagnostic specificity, methods that better characterize the disorder using endophenotypes can advance findings. Schizophrenia biomarkers could potentially revolutionize its psychopharmacology, changing it into a more hypothesis and genomic/proteomic-driven science.

Journal Article↗

Clinical application of molecular profiling in breast cancer.

Breast cancer is the leading type of cancer and second leading cause of cancer death in women. Breast cancer mortality has declined over the past 10 years largely due to early detection by mammographic screening, but also in part due to the increasing use of adjuvant hormonal therapy and chemotherapy. Indications for adjuvant chemotherapy have now expanded to include women who are at low risk of recurrence, resulting in overtreatment of most women to benefit a few, particularly those with favorable clinical features. New techniques have been evaluated that identify specific molecular signatures that may more accurately predict prognosis than clinical features, and that may also identify individuals who are more likely to benefit from endocrine therapy and/or chemotherapy. This review will focus on the clinical applications of these novel techniques reported to date, and how this may lead to the incorporation of molecular diagnostics into clinical practice. Two prospective, multicenter, multinational Phase III trials evaluating tumor genomic profiling in breast cancer are currently in development, and will be initiated within the forthcoming year. The completion of these important studies will represent the first step toward integrating molecular profiling into treatment selection for adjuvant therapy in breast cancer.

Antineoplastic Agents↗

Rapid detection of genomic imbalances using micro-arrays consisting of pooled BACs covering all human chromosome arms.

A strategy is presented to select, pool and spot human BAC clones on an array in such a way that each spot contains five well performing BAC clones, covering one chromosome arm. A mini-array of 240 spots was prepared representing all human chromosome arms in a 5-fold as well as some controls, and used for comparative genomic hybridization (CGH) of 10 cell lines with aneusomies frequently found in clinical cytogenetics and oncology. Spot-to-spot variation within five replicates was below 6% and all expected abnormalities were detected 100% correctly. Sensitivity was such that replacing one BAC clone in a given spot of five by a BAC clone from another chromosome, thus resulting in a change in ratio of 20%, was reproducibly detected. Incubation time of the mini-array was varied and the fluorescently labelled target DNA was diluted. Typically, aneusomies could be detected using 30 ng of non-amplified random primed labelled DNA amounts in a 4 h hybridization reaction. Potential application of these mini-arrays for genomic profiling of disseminated tumour cells or of blastomeres for preimplantation genetic diagnosis, using specially designed DNA amplification methods, are discussed.

Aneuploidy↗

Molecular classification of human gliomas using matrix-based comparative genomic hybridization.

Gliomas are the most frequent primary brain tumors and comprise a group of morphologically, biologically and clinically heterogeneous neoplasms. The different glioma types are associated with distinct genetic aberrations, which may provide useful information for tumor classification as well as prediction of prognosis and response to therapy. To facilitate the molecular classification of gliomas, we established a genomic microarray that consists of bacterial artificial chromosome (BAC) and P1-derived artificial chromosome (PAC) clones representing tumor suppressor genes, proto-oncogenes and chromosomal regions frequently gained or lost in gliomas. In addition, reference clones distributed evenly throughout the genome in approximately 15 Mbp intervals were spotted on the microarray. These customized microarrays were used for matrix-based comparative genomic hybridization (matrix CGH) analysis of 70 gliomas. Matrix CGH findings were validated by molecular genetic analyses of candidate genes, loss of heterozygosity studies and chromosomal CGH. Our results indicate that matrix CGH allows for the sensitive and specific detection of gene amplifications as well as low-level copy number gains and losses in clinical glioma samples. Furthermore, molecular classification based on matrix CGH data closely paralleled histological classification and was able to distinguish with few exceptions between diffuse astrocytomas and oligodendrogliomas, anaplastic astrocytomas and anaplastic oligodendrogliomas, anaplastic oligodendrogliomas and glioblastomas, as well as primary and secondary glioblastomas. Thus, matrix CGH is a powerful technique that allows for an automated genomic profiling of gliomas and represents a promising new tool for their molecular classification.

Adult↗