Biomarkers of genome instability and cancer epigenetics.

Tumorigenesis is a multistep process involving genetic and epigenetic alterations that drive somatic evolution from normal human cells to malignant derivatives. Collectively, genetic and epigenetic alterations might be combined into biomarkers for the assessment of risk, the detection of early stage tumors, and accurate tumor characterization before and after treatment. Recent efforts have provided systematic approaches to cancer genomics through the application of massive sequencing of specific tumor types. Here, we review biomarkers of genome instability and epigenetics. Cancer evolvability and adaptation emerge through genetic and epigenetic lesions of a variety of sizes and qualities-from point mutations and small insertions/deletions to large-scale chromosomal rearrangements, alterations in whole chromosome copy number, preferential allelic expression of cancer risk alleles, and mechanisms that increase tumor mutation rates. We also review specific epigenetic mechanisms that facilitate or hinder tumor adaptation, including DNA methylation, histone modification, nucleosome remodeling, transcription factor activity, and small non-coding RNAs. Given the complexity of the carcinogenic process, the challenge ahead will be to interpret disparate signals across hundreds of genes and summarize these signals into a single actionable diagnosis that translates into specific treatments. Another challenge is to refine preventive efforts through the identification of epigenetic processes that mediate increased cancer rates in individuals exposed to sources of toxic environmental stress and pollution, specially through development and early childhood.

A polymorphism in mir-34b/c as a potential biomarker for early onset of hereditary retinoblastoma.

BACKGROUND: Retinoblastoma (RB) is a malignant pediatric tumor and, mainly because of late diagnosis, most patients undergo enucleation. The tumor almost always initiates by two inactivation events at the RB1 gene. Single nucleotide polymorphisms (SNPs) in p53 pathway have been found to represent genetic modifiers of RB. OBJECTIVE: To investigate whether a SNP (rs4938723T > C) in mir-34b/c gene, a key effector of p53, could influence RB risk and patients' age of onset. METHODS: mir-34b/c rs4938723T > C was sequenced in 130 RB patients and in 105 control individuals. Statistical analysis consisted of χ 2 tests or Fisher's exact, odds ratios (ORs) and Mann-Whitney test. RESULTS: The presence of the C allele did not change the risk for retinoblastoma. However, in hereditary RB patients, the mean age at diagnosis is much lower (1.4 ± 1.4 months) among CC carriers than when it is compared to TT genotype (13.8 ± 6.4, p = 0.001). Besides, hereditary RB patients with CC genotype are around 4 times more likely to present retinoblastoma under the age of 3 months (OR = 4.44; IC: 2.50-7.90; p = 0.002). CONCLUSIONS: The C allele together with a germ-line RB1 gene mutation may speed retinoblastoma onset which suggests that mir-34b/c rs4938723T > C may represent a candidate biomarker for hereditary RB.

More epigenetic hits than meets the eye: microRNAs and genes associated with the tumorigenesis of retinoblastoma.

Retinoblastoma (RB), a childhood neoplasia of the retinoblasts, can occur unilaterally or bilaterally, with one or multiple foci per eye. RB is associated with somatic loss of function of both alleles of the tumor suppressor gene RB1. Hereditary forms emerge due to germline loss of function mutations in RB1 alleles. RB has long been the prototypic "model" cancer ever since Knudson's "two-hit" hypothesis. However, a simple two-hit model for RB is challenged by an increasing number of studies documenting additional hits that contribute to RB development. Here we review the genetics and epigenetics of RB with a focus on the role of small non-coding RNAs (microRNAs) and on novel findings indicating the relevance of DNA methylation in the development and prognosis of this neoplasia. Studies point to an elaborated landscape of genetic and epigenetic complexity, in which a number of events and pahtways play crucial roles in the origin and prognosis of RB. These include roles for microRNAs, inprinted loci, and parent-of-origin contributions to RB1 regulation and RB progression. This complexity is also manifested in the structure of the RB1 locus itself: it includes numerous repetitive DNA segments and retrotransposon insertion elements, some of which are actively transcribed from the RB1 locus. Altogether, we conclude that RB1 loss of function represents the tip of an iceberg of events that determine RB development, progression, severity, and disease risk. Comprehensive assessment of personalized RB risk will require genetic and epigenetic evaluations beyond RB1 protein coding sequences.