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PubMed2024

Genetic analysis of partial duplication of the long arm of chromosome 16.

BACKGROUND: Pure partial trisomy 16q12.1q22.1 is a rare chromosome copy number variant (CNV). The primary clinical phenotypes associated with this syndrome include abnormal facial morphology, global developmental delay (GDD), short stature, and reported predisposing factors for atypical behavior, autism, the development of learning disabilities, and neuropsychiatric disorders. The dosage-sensitive genes associated with partial trisomy are not disclosed preventing to establish a genotype-phenotype correlation. METHODS: We report a case of a Chinese patient diagnosed with GDD and an abnormal facial shape, who was found to have partial trisomy 16 through karyotyping and high-throughput sequencing analysis. Karyotype and CNV tracing analyses were also conducted on the biological parents of the patient to assess for any chromosomal structural abnormalities. Additionally, we included 29 patients with pure partial trisomy 16q, reported in the DECIPHER database and the literature. We and performed a genotype-phenotype correlation analysis. RESULTS: The proband, a 2-year-old female, was found to have a de novo 21.96 Mb duplication located between 16q12.1q22.1, with no other deletions observed on other chromosomes, indicating a pure partial trisomy of 16q. Through genotype and phenotype analysis of 29 individuals, we found that patients with the duplicated region located at the distal region of 16q may exhibit more severe symptoms than those with duplication at the proximal region; however, no relationship was identified between phenotype and the size of the duplicated segment. CONCLUSION: We report, for the first time, a patient with partial trisomy 16q validated by multiple genetic tests, including CNV-seq, whole exome sequencing (WES), and karyotyping. It is speculated that partial trisomy of 16q may be associated with continuous gene duplication. However, functional studies are necessary to identify the causative gene or critical region linked to duplication syndrome of chromosome 16q.

Child, Preschool↗
PubMed2025

Effective detection of 148 cases chromosomal mosaicism by karyotyping, chromosomal microarray analysis and QF-PCR in 32,967 prenatal diagnoses.

BACKGROUND: Detection of mosaicism has always been difficult in prenatal diagnosis, which is to assess the value of karyotyping combined with three different molecular genetic tests for prenatal diagnosis. Retrospective review of chromosomal mosaicism (CM) was conducted in 32,967 pregnant women from January 2015 to December 2022. METHODS: A total of 148 fetuses diagnosed with chromosomal mosaicism by karyotyping with copy number variant sequencing (CNV-seq)/ chromosomal microarray analysis (CMA) and quantitative fluorescent polymerase chain reaction (QF-PCR) were selected, and the results from three the methods were compared and further analyzed. The χ2 test for multiple group rates was for the 5 clinical prenatal diagnostic indication groups was used to do multiple comparison tests for statistical analysis. Inconsistent results between methods were identified and further analyzed. RESULTS: A total of 148 CM cases was detected (0.45%, 148/32967), of which karyotyping was detected in combination with CMA in 73 cases (73/85), with CNV-seq in 5 cases (5/11), and with QF-PCR in 35 cases (35/52) and the mosaic conformity rates of the three methods compared with karyotyping were 85.9% (CMA), 67.3% (QF-PCR), and 45.5% (CNV-seq), respectively. There were 49 cases of autosomal mosaicism (49/148, 33.1%) and 99 cases of sex CM (99/148, 66.9%). There were 9 cases of small supernumerary marker chromosome (sSMC)with CMA detection clarified the origin of chromosome fragments. The non-invasive prenatal testing (NIPT) group and the ultrasound abnormality group had the highest detection rates, accounting for 35.1% and 22.3%. CONCLUSIONS: In chromosomal mosaicism, there are inconsistent results between different detection methods. Therefore, karyotyping combined with CMA/CNV-seq and FISH methods significantly improves the detection rate of chromosomal mosaicism and also confirms experimental data in the literature, which is of great value for prenatal diagnosis.

Humans↗
PubMed2025

CINner: Modeling and simulation of chromosomal instability in cancer at single-cell resolution.

Cancer development is characterized by chromosomal instability, manifesting in frequent occurrences of different genomic alteration mechanisms ranging in extent and impact. Mathematical modeling can help evaluate the role of each mutational process during tumor progression, however existing frameworks can only capture certain aspects of chromosomal instability (CIN). We present CINner, a mathematical framework for modeling genomic diversity and selection during tumor evolution. The main advantage of CINner is its flexibility to incorporate many genomic events that directly impact cellular fitness, from driver gene mutations to copy number alterations (CNAs), including focal amplifications and deletions, missegregations and whole-genome duplication (WGD). We apply CINner to find chromosome-arm selection parameters that drive tumorigenesis in the absence of WGD in chromosomally stable cancer types from the Pan-Cancer Analysis of Whole Genomes (PCAWG, [Formula: see text]). We found that the selection parameters predict WGD prevalence among different chromosomally unstable tumors, hinting that the selective advantage of WGD cells hinges on their tolerance for aneuploidy and escape from nullisomy. Analysis of inference results using CINner across cancer types in The Cancer Genome Atlas ([Formula: see text]) further reveals that the inferred selection parameters reflect the bias between tumor suppressor genes and oncogenes on specific genomic regions. Direct application of CINner to model the WGD proportion and fraction of genome altered (FGA) in PCAWG uncovers the increase in CNA probabilities associated with WGD in each cancer type. CINner can also be utilized to study chromosomally stable cancer types, by applying a selection model based on driver gene mutations and focal amplifications or deletions (chronic lymphocytic leukemia in PCAWG, [Formula: see text]). Finally, we used CINner to analyze the impact of CNA probabilities, chromosome selection parameters, tumor growth dynamics and population size on cancer fitness and heterogeneity. We expect that CINner will provide a powerful modeling tool for the oncology community to quantify the impact of newly uncovered genomic alteration mechanisms on shaping tumor progression and adaptation.

Chromosomal Instability↗
PubMed2025

Comparison of actionable alterations in cancers with kinase fusion, mutation, and copy number alteration.

Kinase-related gene fusion and point mutations play pivotal roles as drivers in cancer, necessitating optimized, targeted therapy against these alterations. The efficacy of molecularly targeted therapeutics varies depending on the specific alteration, with great success reported for such therapeutics in the treatment of cancer with kinase fusion proteins. However, the involvement of actionable alterations in solid tumors, especially regarding kinase fusions, remains unclear. Therefore, in this study, we aimed to compare the number of actionable alterations in patients with tyrosine or serine/threonine kinase domain fusions, mutations, and copy number alterations (CNAs). We analyzed 613 patients with 40 solid cancer types who visited our division between June 2020 and April 2024. Furthermore, to detect alterations involving multiple-fusion calling, we performed comprehensive genomic sequencing using FoundationOne® companion diagnostic (F1CDx) and FoundationOne® Liquid companion diagnostic (F1LCDx). Patient characteristics and genomic profiles were analyzed to assess the frequency and distribution of actionable alterations across different cancer types. Notably, 44 of the 613 patients had fusions involving kinases, transcriptional regulators, or tumor suppressors. F1CDx and F1LCDx detected 13 cases with kinase-domain fusions. We identified 117 patients with kinase-domain mutations and 58 with kinase-domain CNAs. The number of actionable alterations in patients with kinase-domain fusion, mutation, or CNA (median [interquartile range; IQR]) was 2 (1-3), 5 (3-7), and 6 (4-8), respectively. Patients with kinase fusion had significantly fewer actionable alterations than those with kinase-domain mutations and CNAs. However, those with fusion involving tumor suppressors tended to have more actionable alterations (median [IQR]; 4 [2-9]). Cancers with kinase fusions exhibited fewer actionable alterations than those with kinase mutations and CNAs. These findings underscore the importance of detecting kinase alterations and indicate the pivotal role of kinase fusions as strong drivers of cancer development, highlighting their potential as prime targets for molecular therapeutics.

Humans↗
PubMed2026

A nonlinear multi-omics data integration and classification model based on pathway self-attention and graph convolutional networks.

The abundance of omics data has significantly advanced the development of multi-omics data integration techniques. Non-linear embedding approaches for data integration have gradually become the mainstream in multi-omics research, as these approaches can substantially improve cancer analysis by enhancing the quality of the embeddings. However, current multi-omics data integration methods are typically confined to omics measurements, neglecting domain-specific prior knowledge encompassing biological pathways. In this study, we proposed a multi-omics integrated classification model, PathTransGCN, based on pathway self-attention and graph convolutional networks (GCN). The model integrated biological pathway information into multi-omics data analysis with the aim of enhancing the accuracy of cancer classification. Multi-omics data for breast cancer (BRCA), non-small cell lung cancer (NSCLC), and low-grade glioma (LGG) were obtained from The Cancer Genome Atlas (TCGA) and UCSC Xena databases. These data included gene mutations, DNA methylation, copy number variations, and gene expression, and were used to assess the model's generalizability across different cancers. First, PathTransGCN employed a pathway self-attention module to learn latent representations of samples across different pathways, thereby obtaining multi-omics integration vectors. Concurrently, a patient similarity network (PSN) was constructed using the similarity network fusion (SNF) approach. Second, the integrated vectors and the PSN were jointly fed into a GCN for end-to-end training, enabling precise classification of cancer subtypes. Through multi-omics data analysis of the BRCA dataset, PathTransGCN outperformed several popular algorithms (such as MoGCN and DeePathNet) in the five-class classification of cancer subtypes, achieving an accuracy rate of 87.6% and an F1 score of 86.4%. Moreover, the model demonstrated robust generalization capabilities across both NSCLC and LGG datasets, while effectively identifying key disease-associated biomarkers at the pathway level. Experimental results demonstrate that PathTransGCN exhibits outstanding performance in integrating omics data and delivering interpretable classification outcomes, presenting significant potential for clinical applications.

Humans↗
PubMed2006

[Principle and importance of using the array CGH in hematooncology].

Identification of chromosomal changes and variation in DNA copy number allows us to understand pathogenesis of tumors. To the frequently diagnosed chromosomal changes belong acquired gains and losses of chromosomal regions carring genes involved in cellular proliferation and differentiation as well as oncogenes and tumor suppressor genes. The determination of gene changes is limited by techniques used for their identification. The introduction of genom-wide microarray technology, resolution has rapidly increased. Array comparative genomic hybridization (arrayCGH) offers higher resolution for genome-wide detection of chromosomal alteration and it is able to analyze hundreds to thousands of genes presented on microarray in one experiment. The aim of this study was to perform arrayCGH technology and to stress its value for the identification of chromosomal imbalances in hematological malignancies.

Hematologic Neoplasms↗
PubMed2004

Multicolor FISH and cytometric analyses allow classification of urothelial carcinomas into two subtypes, low- and high-grade tumors.

The biological behaviors of urothelial carcinomas are linked roughly to histological grade, but there are many cases whose precise classification is difficult. In addition, it remains unclear whether there are differences in the types of genetic changes between low- and high-grade urothelial carcinomas. Fifty-seven biopsy specimens of urothelial carcinomas and 9 control urothelial specimens were examined by four-color FISH with centromere-specific probes for chromosomes 3, 7, and 17, and a locus-specific probe for 9p21 that covers p16INK4a and p15INK4b. Nuclear DNA ploidy was determined with laser scanning cytometry (LSC). FISH and LSC data allowed us to classify urothelial cancers into two groups. Tumors in one group showed minimal intercellular variation in centromere copy numbers and DNA diploidy, and these tumors were histologically comparable to low-grade (grades I and II) tumors. In contrast, tumors in the other group showed a large intercellular variation in centromere copy numbers and DNA aneuploidy, suggesting chromosomal instability. These tumors were all high-grade (grades II and III) tumors. Numerical abnormalities of 9p21 signals were detected in all cancers; this variation in 9p21 signals was also associated with histological grade. The present findings suggest that the pathogenetic pathways are different between low- and high-grade carcinomas. High-grade tumors are characterized by chromosomal instability, whereas low-grade carcinomas are not.

Aged↗
PubMed2000

Relationship between chromosomal instability and intratumoral regional DNA ploidy heterogeneity in primary gastric cancers.

The purpose of this study was to elucidate the relationship between intratumoral regional heterogeneity in DNA ploidy and chromosomal instability (CIN) in primary gastric adenocarcinomas. In 45 sporadic gastric adenocarcinomas, we measured DNA ploidy and numerical aberrations for chromosomes 7, 11, 17, and 18 by laser scanning cytometry and fluorescence in situ hybridization, respectively, in small tissue specimens taken from 2 to 6 (on the average 4) different portions of the same tumor. A total of 231 specimens including 45 normal control specimens were examined. All 98 tumor specimens with DNA aneuploidy (DNA index > or = 1.2) showed large intercellular variations in chromosome copy number, indicating CIN. In contrast, 85 tumor specimens with (near) diploidy (1.0 < or = DNA index < 1.2) exhibited much small intercellular variations in chromosome copy number as compared with aneuploid specimens (P < 0.0001). The relationship between DNA ploidy and intercellular variation in chromosome copy number was true for tumors consisting of a mixture of (near) diploid and aneuploid subpopulations. These data indicate that DNA aneuploidy is associated with CIN but that (near) diploidy is not. Intratumoral regional DNA ploidy heterogeneity was conspicuous in 33 (92%) of 36 tumors with regions of DNA aneuploidy, and all aneuploid specimens showed great intercellular variation in chromosome copy number. Diploid regions were predominant in early stage cancers (intramucosal and submucosal cancers), and five of eight early cancers contained only diploid population. In contrast, all tumors without (near) diploid regions were advanced cancers. These observations suggest that CIN is a necessary prerequisite for developing intratumoral DNA ploidy heterogeneity with DNA aneuploidy.

Adenocarcinoma↗
PubMed1990

Specific DNA probe for the sensitive detection of Trypanosoma evansi.

Trypanosoma evansi is the parasitic protozoon that causes "Surra", a wasting disease of domestic animals. Detection of T. evansi plays an important role in epidemiology and animal health. DNA probes were constructed from T. evansi genomic DNA and kinetoplast DNA for sensitive detection of the parasite in infected blood. A 6.5 kb DNA insert of pMUT ec6 plasmid derived from the genomic DNA of T. evansi Npl isolate, selected from 575 recombinant E. coli exhibited the strongest nucleic acid hybridization signal to the T. evansi DNA. Using as the DNA probe, pMUT ec6 could detect as little as 60 pg T. evansi DNA and it did not hybridize to the DNA of cattle, waterbuffalo and two related blood parasites. A simple detection procedure by spotting 10 microliters infected blood onto nylon membrane could sense as little as 1000 parasites. The kinetoplast DNA was cloned in E. coli and found to show a comparable sensitivity to that of the pMUT ec6. However, the kinetoplast DNA exhibited variation in copy number among parasite isolates thus pMUT ec6 should be the DNA probe of choice for sensitive detection of T. evansi.

Animals↗
PubMed1999

The relationship of DNA ploidy to chromosomal instability in primary human colorectal cancers.

The aim of this investigation was to corroborate the relationship between DNA ploidy and chromosomal variation in surgically removed colorectal cancers. For 101 specimens from 21 advanced colorectal cancers, the numerical variations in chromosomes 7, 17, and 18 among cells were measured by fluorescence in situ hybridization using DNA probes specific for centromere of each chromosome, and DNA ploidy was determined by laser scanning cytometry or flow cytometry. DNA diploidy (DNA index = 1.0) was linked with minor variation in copy number of chromosomes 7, 17 and 18, whereas DNA aneuploidy (DNA index > or = 1.2) was found exclusively in tumors with large variations in centromere copy number for all chromosomes. There was a significant difference in the degree of intercellular variations in chromosome copy number between diploid and aneuploid clones for all chromosomes examined (P < 0.001). In near-diploid clones (1.0 < DNA index < 1.2), the numerical variation of chromosome 18 was significantly different from that in diploid clones (P < 0.002), but it was not different from that in aneuploid clones. These observations support the hypothesis that chromosomal instability is associated with DNA aneuploidy in colorectal cancers. Additionally, they suggest that near-diploid tumors are also unstable at a lower level than classic aneuploid tumors and that all chromosomes are not affected equally in near-diploid cases.

Adult↗
PubMed2006

Processes of copy-number change in human DNA: the dynamics of {alpha}-globin gene deletion.

Ectopic recombination between locally repeated DNA sequences is of fundamental importance in the evolution of gene families, generating copy-number variation in human DNA and often leading to pathological rearrangements. Despite its importance, little is known about the dynamics and processes of these unequal crossovers and the degree to which meiotic recombination plays a role in instability. We address this issue by using as a highly informative system the duplicated alpha-globin genes in which ectopic recombination can lead to gene deletions, often very prevalent in populations affected by malaria, as well as reduplications. Here we show that spontaneous deletions can be accessed directly in genomic DNA by using single-DNA-molecule methods. These deletions proved to be remarkably common in both blood and sperm. Somatic deletions arise by a strictly intrachromosomal pathway of homologous exchange that also operates in the germ line and can generate mutational mosaicism, whereas sperm deletions frequently involve recombinational interactions between homologous chromosomes that most likely occur at meiosis. Ectopic recombination frequencies show surprisingly little requirement for long, identical homology blocks shared by paralogous sequences, and exchanges can occur even between short regions of sequence identity. Finally, direct knowledge of germ-line deletion rates can give insights into the fitness of individuals with these alpha-globin gene deletions, providing a new approach to investigating historical levels of selection operating in human populations.

DNA↗
PubMed2003

Prevalence and physical status of human papillomavirus in squamous cell carcinomas of the head and neck.

Fresh-frozen biopsies were obtained from 61 patients at diagnosis of squamous cell carcinoma of the head and neck (HNSCC) for study of the prevalence and physical status of human papillomavirus (HPV) DNA. The frequency of HPV DNA and genotypes were determined by SPF10 PCR screening with a general probe hybridization and INNO-LiPA HPV genotyping assay. In addition, a single-phase PCR with primers FAP 59/64 and a nested PCR with primers CP 65/70 and CP 66/69 served to detect particularly cutaneous HPV types. By the sensitive SPF10 PCR and INNO-LiPA assay, 37 of 61 (61%) samples were positive for HPV. HPV-16 was the most frequently detected type (31 of 37, 84%). Multiple infections were found in 8 of 37 (22%) of the HPV-positive samples, and co-infection by HPV-16 and HPV-33 was predominant. No cutaneous HPV types were detected. Patients with HPV-positive tumors had similar prognosis as those with HPV-negative ones. Real-time PCR analysis of the HPV-16 positive samples indicated the presence of integrated (11 of 23, 48%), episomal (8 of 23, 35%) and mixed forms (4 of 23, 17%) of HPV DNA. The viral load of HPV DNA exhibited large variation. The median copy numbers of E6 DNA in tonsillar specimens were approximately 80,000 times higher than that in nontonsillar HNSCC ones. Patients with episomal viral DNA were more frequently found to have large (T3-T4) tumors at diagnosis than were those with integrated or mixed forms.

Adult↗
PubMed2005

High-resolution gene copy number and expression profiling of human chromosome 22 in ovarian carcinomas.

Previous low-resolution studies of chromosome 22 in ovarian carcinoma have suggested its involvement in the development of the disease. We report a high-resolution analysis of DNA copy number and gene expression of 22q in 18 ovarian carcinomas using a 22q-specific genomic microarray. We identified aberrations in 67% of the studied tumors, which displayed 3 distinct gene copy number profiles. The majority of the cases (11 of 18) demonstrated heterozygous terminal deletions of various sizes, the smallest of which was 3.5 Mb. The second profile, detected in 3 tumors, revealed the coexistence of heterozygous deletions and different patterns of low-copy-number gain that involved the proximal half of 22q. The latter finding has not been reported previously in ovarian carcinoma. One case displayed a continuous deletion encompassing the entire 22q, consistent with monosomy 22. Furthermore, we compared the results with the available data on these tumors by using cDNA microarrays to define the degree of correlation between abnormalities at the DNA level and variation in mRNA expression. By a comparison with the expression data, we were able to identify 21 deleted genes showing low mRNA levels and 12 amplified genes displaying elevated gene expression, several of which play roles in cell cycle control and the induction of apoptosis. Our results indicated significant correlation between DNA copy number aberrations and variation in mRNA expression. We also identified several regions and candidate genes on 22q that should be studied further to determine their role in the development of ovarian cancer.

Adenocarcinoma, Clear Cell↗
PubMed2006

Global variation in copy number in the human genome.

Copy number variation (CNV) of DNA sequences is functionally significant but has yet to be fully ascertained. We have constructed a first-generation CNV map of the human genome through the study of 270 individuals from four populations with ancestry in Europe, Africa or Asia (the HapMap collection). DNA from these individuals was screened for CNV using two complementary technologies: single-nucleotide polymorphism (SNP) genotyping arrays, and clone-based comparative genomic hybridization. A total of 1,447 copy number variable regions (CNVRs), which can encompass overlapping or adjacent gains or losses, covering 360 megabases (12% of the genome) were identified in these populations. These CNVRs contained hundreds of genes, disease loci, functional elements and segmental duplications. Notably, the CNVRs encompassed more nucleotide content per genome than SNPs, underscoring the importance of CNV in genetic diversity and evolution. The data obtained delineate linkage disequilibrium patterns for many CNVs, and reveal marked variation in copy number among populations. We also demonstrate the utility of this resource for genetic disease studies.

Chromosome Mapping↗
PubMed2005

Common deletions and SNPs are in linkage disequilibrium in the human genome.

Humans show great variation in phenotypic traits such as height, eye color and susceptibility to disease. Genomic DNA sequence differences among individuals are responsible for the inherited components of these complex traits. Reports suggest that intermediate and large-scale DNA copy number and structural variations are prevalent enough to be an important source of genetic variation between individuals. Because association studies to identify genomic loci associated with particular phenotypic traits have focused primarily on genotyping SNPs, it is important to determine whether common structural polymorphisms are in linkage disequilibrium with common SNPs, and thus can be assessed indirectly in SNP-based studies. Here we examine 100 deletion polymorphisms ranging from 70 bp to 7 kb. We show that common deletions and SNPs ascertained with similar criteria have essentially the same distribution of linkage disequilibrium with surrounding SNPs, indicating that these polymorphisms may share evolutionary history and that most deletion polymorphisms are effectively assayed by proxy in SNP-based association studies.

Gene Frequency↗
PubMed2026

Methylome Profiling of Cartilage Tumors: A Promising New Diagnostic Tool?

DNA methylation and copy number variation (CNV) profiling has emerged as a promising tool for the classification of bone and soft tissue tumors. We evaluated its utility in cartilage tumors, where distinguishing low-grade from high-grade conventional central chondrosarcomas (CSs) and atypical cartilaginous tumors (ACTs) from enchondromas (ECs) is a frequent diagnostic challenge, particularly on biopsy material. We analyzed 214 chondrogenic tumors, including ECs, ACTs, conventional CSs, dedifferentiated chondrosarcomas (DDCSs), and clear cell CSs, and determined their IDH1/2 mutation status. Unsupervised dimensionality reduction of genome-wide DNA methylation patterns revealed 4 clusters among IDH-mutant (MUT) tumors (IDH-MUT-1: mostly ECs and ACTs and some high-grade CSs; IDH-MUT-2: predominantly high-grade CSs; IDH-MUT-3: largely DDCSs; and IDH-MUT-SB: distinct skull base group with a markedly different methylation pattern) and 2 clusters among IDH-wild-type (WT) tumors (IDH-WT-1 and IDH-WT-2: both primarily high-grade CSs, with IDH-WT-2 showing higher tumor grade and more extensive CNVs). Clear cell CSs formed a separate cluster. The amount of CNVs, including loss of CDKN2A, increased with tumor grade, reflecting increased genomic instability during chondrosarcoma progression. Supervised classifiers trained separately, both on methylation and CNV data, and distinguished low-grade and high-grade cartilaginous tumors with area under the curve values of 0.87 to 0.97 and 85% to 90% accuracy. Furthermore, we tested whether DDCSs can be distinguished from metastatic carcinomas and other high-grade sarcomas of the bone. Across 246 reference samples, a supervised classifier achieved 97.2% accuracy (area under the curve, 99.8%) and correctly identified 30 of 32 DDCSs (93.8%). These results indicate that DNA methylation and CNV data analysis provide a valuable tool for distinguishing most low- and high-grade CSs, with additional utility also in differentiating DDCS from morphologic mimics.

cartilaginous tumors↗
PubMed2004

Variation in RNA expression and genomic DNA content acquired during cell culture.

Specific chromosomal abnormalities are increasingly recognised to be associated with particular tumour subtypes. These cytogenetic abnormalities define the sites of specific genes, the alteration of which is implicated in the neoplastic process. We used comparative genomic hybridisation (CGH) to examine DNA from different breast and ovarian cancer cell lines for variations in DNA sequence copy number compared with the same normal control. We also compared different sources of the MCF7 breast line by both CGH and cDNA expression arrays. Some of the differences between the subcultures were extensive and involved large regions of the chromosome. Differences between the four subcultures were observed for gains of 2q, 5p, 5q, 6q, 7p, 7q, 9q, 10p, 11q, 13q, 14q, 16q, 18p and 20p, and losses of 4q, 5p, 5q, 6q, 7q, 8p, 11p, 11q, 12q, 13q, 15q, 19p, 19q, 20p, 21q, 22q and Xp. However, few variations were found between two subcultures examined, 5 months apart, from the same initial source. The RNA arrays also demonstrated considerable variation between the three different subcultures, with only 43% of genes expressed at the same levels in all three. Moreover, the patterns of the expressed genes did not always reflect our observed CGH aberrations. These results demonstrate extensive genomic instability and variation in RNA expression during subculture and provide supportive data for evidence that cell lines do evolve in culture, thereby weakening the direct relevance of such cultures as models of human cancer. This work also reinforces the concern that comparisons of published analyses of cultures of the same name may be dangerous.

Breast Neoplasms↗
PubMed2005

Comparative genomic hybridization.

Altering DNA copy number is one of the many ways that gene expression and function may be modified. Some variations are found among normal individuals ( 14, 35, 103 ), others occur in the course of normal processes in some species ( 33 ), and still others participate in causing various disease states. For example, many defects in human development are due to gains and losses of chromosomes and chromosomal segments that occur prior to or shortly after fertilization, whereas DNA dosage alterations that occur in somatic cells are frequent contributors to cancer. Detecting these aberrations, and interpreting them within the context of broader knowledge, facilitates identification of critical genes and pathways involved in biological processes and diseases, and provides clinically relevant information. Over the past several years array comparative genomic hybridization (array CGH) has demonstrated its value for analyzing DNA copy number variations. In this review we discuss the state of the art of array CGH and its applications in medical genetics and cancer, emphasizing general concepts rather than specific results.

Chromosome Aberrations↗