V. V. Strelnikov

A simple multiplex FRAXA, FRAXE, and FRAXF PCR assay convenient for wide screening programs.

FRAXA, FRAXE, and FRAXF are folate‐sensitive fragile sites originally discovered in patients with X‐linked mental retardation. The FMR1 gene, whose first exon includes the FRAXA site on Xq27.3, accounts for 15–20% of all X‐linked forms of mental retardation. Loss of expression of FMR2, a gene adjacent to the FRAXE site on Xq28, is correlated with FRAXE expansion in some mild mentally retarded patients. FRAXF is a fragile site whose expression has not been associated with any pathological phenotype. The fragility in all three sites is caused by expansions of CGG repeats adjacent to hypermethylated CpG islands. The prevalence of FRAXA, FRAXE, and FRAXF remains uncertain because of the lack of a simple and cost‐effective test allowing wide screening programs. For the same reason, the real phenotype–genotype correlations in FRAXE and FRAXF are uncertain as well. We have developed a rapid multiplex polymerase chain reaction (PCR) assay in which hypermethylated CpG islands adjacent to FRAXA, FRAXE, and FRAXF are displayed. The test is very simple and cost‐effective, requires only 30 μl of peripheral blood, and can be used for performing diagnoses, postnatal and prenatal, and for screening large groups of control and mentally retarded males and newborn boys. Hum Mutat 13:166–169, 1999.

Novel Markers of Gene Methylation and Expression in Breast Cancer

An optimized methylation-sensitive restriction fingerprinting technique was used to search for differentially methylated CpG islands in the tumor genome and detected seven genes subject to abnormal epigenetic regulation in breast cancer: SEMA6B, BIN1, VCPIP1, LAMC3, KCNH2, CACNG4, and PSMF1. For each gene, the rate of promoter methylation and changes in expression were estimated in tumor and morphologically intact paired specimens of breast tissue (N = 100). Significant methylation rates of 38, 18, and 8% were found for SEMA6B, BIN1, and LAMC3, respectively. The genes were not methylated in morphologically intact breast tissue. The expression of SEMA6B, BIN1, VCPIP1, LAMC3, KCNH2, CACNG4, and PSMF1 was decreased in 44–94% of tumor specimens by the real-time RT-PCR assay. The most profound changes in SEMA6B and LAMC3 suggest that these genes can be included in biomarker panels for breast cancer diagnosis. Fine methylation mapping of the most frequently methylated CpG islands (SEMA6B, BIN1, and LAMC3) provides a fundamental basis for developing efficient methylation tests for these genes.

RB1 and CDKN2A functional defects resulting in retinoblastoma

Multiplex methylation-sensitive PCR was employed in studying the methylation of the RB1 and CDKN2A/p16 promoter regions in 52 retinoblastomas. Aberrant methylation inactivating RB1 was detected in 14 (27%) tumors. Methylation of p16 was for the first time observed in retinoblastoma (9 tumors, 17%). Both promoters proved to be methylated in two tumors. In four tumors, aberrant methylation was combined with structural defects of both RB1 alleles. Aberrant methylation of the p16 promoter was the second mutation event in two tumors and was not accompanied by RB1 defects in one tumor. Complex testing for RB1 mutations, loss of heterozygosity, and functional inactivation of the two genes revealed molecular defects in at least one allele in 51 (98%) tumors.

Diagnostics of Epigenetic Alterations in Hereditary and Oncological Disorders

The review considers the epigenetic defects and their diagnostics in several hereditary disorders and tumors. Aberrant methylation of the promoter or regulatory region of a gene results in its functional inactivation, which is phenotypically similar to structural deletion. Screening tests were developed for Prader–Willi, Angelman, Wiedemann–Beckwith, and Martin–Bell syndromes and mental retardation FRAXE. The tests are based on allele methylation analysis by methylation-specific or methylation-sensitive PCR. Carcinogenesis-associated genes (RB1, CDKN2A, ARF14, HIC1, CDH1, etc.) are often methylated in tumors. Tumors differ in methylation frequencies, allowing differential diagnostics. Aberrant methylation of tumor suppressor genes occurs in early carcinogenesis, and its detection may be employed in presymptomatic diagnostics of tumors.

Amplification of intermethylated sites experimental design and results analysis with AIMS in silico computer software

Amplification of intermethylated sites (AIMS) is a powerful tool for differential methylation screening of genomes. Its applications have nevertheless been limited until recently for the absence of systemic approach to AIMS experimental design and of appropriate computer software for the analysis of AIMS results. We have developed AIMS in silico computer suggestion tool capable of predicting possible experimental outcomes, which assists in designing AIMS experiments depending on the research aims and available instrumentation, and in analyzing experimental results from the point of view of genomic locations of the DNA fragments under study. With AIMS in silico we have characterized qualitatively and quantitatively AIMS products obtainable under different conditions; to ease experimental design we demonstrate AIMS products hierarchical structure. We discuss examples of designing AIMS experiments and of results analysis as well as possible relative to AIMS alternative approaches to differential methylation screening. AIMS in silico computer software is intended to standardize AIMS applications and to turn it into one of the principal approaches towards cancer epigenomes studies as well as towards diagnostics in oncology, including early screening.

Comparison of Aberrant Methylation of CpG Islands in the p16/CDKN2A and p14/ARF Promoters in Non-Small Cell Lung Cancer and Acute Lymphoblastic Leukemia

Multiplex methylation-sensitive (MSe-PCR) and methylation-specific (MSp-PCR) PCRs were used to detect aberrant methylation of CpG islands in the promoter regions and first exons of p16/CDKN2A and p14/ARF in non-small cell lung cancer (NSCLC, 54 specimens) and B-cell acute lymphoblastic leukemia (B-ALL, 61 specimens). A difference in CpG methylation was observed for individual specimens and for the two malignancies. A high methylation frequency of the first exon of p16/CDKN2A was detected both in NSCLC (68%) and in B-ALL (55%). The CpG island of the p14/ARF first exon proved to be nonmethylated in both malignancies. Particular CpG-rich fragments were examined in the p16/CDKN2A and p14/ARF promoters. It was shown that methylation frequency can differ between the 5′ regions of one promoter. The sensitivity was compared for MSe-PCR and MSp-PCR, which are commonly employed in methylation analysis.

Methylation Profile of Several Tumor Suppressor Genes in Non-Small-Cell Lung Cancer

Multiplex methylation-sensitive PCR was employed in studying the methylation of CpG islands in the RB1, p16/CDKN2A, p15/CDKN2B, p14/ARF, CDH1, HIC1, and N33 5′ regions in non-small cell lung cancer (51 tumors). Methylation was observed for the two suppressor genes involved in controlling the cell cycle through the Cdk–Rb–E2F signaling pathway, RB1 (10/51, 19%) and p16 (20/51, 39%). The highest methylation frequencies were established for CDH1 (72%) and HIC1 (82%). The CpG islands of p14 and p15 proved to be nonmethylated. At least one gene was methylated in 90% (46/51) tumors and no gene, in 10% (5/51) tumors. In addition, the genes were tested for methylation in peripheral blood lymphocytes of healthy subjects. Methylation frequency significantly differed between tumors and normal cells in the case of RB1, p16, CDH1, HIC1, and N33. Gene methylation frequency was tested for association with histological type of the tumor and stage of tumor progression. Methylation index of a panel of tumor suppressor genes was established for groups of tumors varying in clinical and morphological parameters.

Spectrum and Frequencies of RB1 Structural Defects in Retinoblastoma

The spectrum and frequencies of RB1 structural defects were studied in tumors and peripheral blood lymphocytes of patients with various forms of retinoblastoma. Single strand conformation polymorphism (SSCP) and heteroduplex (HA) analyses, along with direct sequencing, revealed 47 mutations, including 24 new ones. Of these, 42.5% were nonsense mutations, 15% were missense mutations, 15% affected splicing sites, and 27.5% were frameshifts resulting from microdeletions or microinsertions. Six polymorphisms were found, including three new ones located in the coding region. Microsatellite analysis with markers Rbint2, Rbint20, D13S262, and D13S284 revealed loss of heterozygosity for at least one marker in 71% tumors.