Cervical cancer is responsible for 10–15% of cancer-related deaths in women worldwide1,2. The etiological role of infection with high-risk human papilloma viruses (HPV) in cervical carcinomas is well established3. Previous studies have implicated somatic mutations in PIK3CA, PTEN, TP53, STK11 and KRAS4–7 as well as several copy number alterations in the pathogenesis of cervical carcinomas8,9. Here, we report whole exome sequencing analysis of 115 cervical carcinoma-normal paired samples, transcriptome sequencing of 79 cases and whole genome sequencing of 14 tumor-normal pairs. Novel somatic mutations in 79 primary squamous cell carcinomas include recurrent E322K substitutions in the MAPK1 gene (8%), inactivating mutations in the HLA-B gene (9%), and mutations in EP300 (16%), FBXW7 (15%), NFE2L2 (4%) TP53 (5%) and ERBB2 (6%). We also observed somatic ELF3 (13%) and CBFB (8%) mutations in 24 adenocarcinomas. Squamous cell carcinomas had higher frequencies of somatic mutations in the Tp*C dinucleotide context than adenocarcinomas. Gene expression levels at HPV integration sites were significantly higher in tumors with HPV integration compared with expression of the same genes in tumors without viral integration at the same site. These data demonstrate several recurrent genomic alterations in cervical carcinomas that suggest novel strategies to combat this disease.

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The 21-base pair repeat elements of the SV40 promoter contain six tandem copies of the GGGCGG hexanucleotide (GC-box), each of which can bind, with varying affinity, to the cellular transcription factor, Sp1. In vitro SV40 early RNA synthesis is mediated by interaction of Sp1 with GC-boxes I, II, and III, whereas transcription in the late direction is mediated by binding to GC-boxes III, V, and VI.

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Among the many benefits of the Human Genome Project are new and powerful tools such as the genome-wide hybridization devices referred to as microarrays. Initially designed to measure gene transcriptional levels, microarray technologies are now used for comparing other genome features among individuals and their tissues and cells. Results provide valuable information on disease subcategories, disease prognosis, and treatment outcome. Likewise, they reveal differences in genetic makeup, regulatory mechanisms, and subtle variations and move us closer to the era of personalized medicine. To understand this powerful tool, its versatility, and how dramatically it is changing the molecular approach to biomedical and clinical research, this review describes the technology, its applications, a didactic step-by-step review of a typical microarray protocol, and a real experiment. Finally, it calls the attention of the medical community to the importance of integrating multidisciplinary teams to take advantage of this technology and its expanding applications that, in a slide, reveals our genetic inheritance and destiny.

hPL is a member of an evolutionarily related gene family including hGH and hPRL. Expression of hPL is limited to the placenta but its physiological actions are far reaching. hPL has a direct somatotropic effect on fetal tissues, it alters maternal carbohydrate and lipid metabolism to provide for fetal nutrient requirements, and aids in stimulation of mammary cell proliferation. Two hPL genes (hPL3 and hPL4) encoding identical proteins are responsible for the production of up to 1-3 g PL hormone/day. Recent studies have characterized the regulatory controls of hPL expression. At the post transcriptional level, RNA stability may contribute to variable levels of hPL3 vs. hPL4 production. In addition, non-tissue-specific protein-promoter interactions involving the Sp1 transcription factor are necessary for hPL transcription initiation. A transcriptional enhancer located 3' to the hPL3 gene is responsible for the placenta-specific expression of this gene, while an additional enhancer may be located 3' to the hPl4 gene. The hPL enhancer is bound by multiple proteins including at least one placental specific protein that interacts with a TEF-1 motif. Therefore, enhancer-protein interactions most likely play a large part in the high levels of placenta-specific hPL expression.

Epigenetic transcriptional regulation plays an important role in the life cycle of human papillomaviruses (HPVs) and the carcinogenic progression of anogenital HPV associated lesions. We performed a study designed to assess the methylation status of the HPV-18 genome, specifically of the late L1 gene, the adjacent long control region (LCR), and part of the E6 oncogene in cervical specimens with a range of pathological diagnoses. In asymptomatic infections and infections with precancerous (precursor) lesions, HPV-18 DNA was mostly unmethylated, with the exception of four samples where hypermethylation of L1 was detected. In contrast, L1 sequences were strongly methylated in all cervical carcinomas, while the LCR and E6 remained unmethylated. HeLa cells, derived from a cervical adenocarcinoma, contain chromosomally integrated HPV-18 genomes. We found that L1 is hypermethylated in these cells, while the LCR and E6 are unmethylated. Treatment of HeLa cells with the methylation inhibitor 5-Aza-2'-deoxycytidine (5-Aza-CdR) led to the expected reduction of L1 methylation. After removal of 5-Aza-CdR, L1 methylation resumed and exceeded pretreatment levels. Unexpectedly, the LCR and E6 also became methylated under these conditions, albeit at lower levels than L1. We hypothesize that L1 is preferentially methylated after integration of the HPV genome into the cellular DNA, possibly since linearization prohibits its normal transcription, while the enhancer and promoter may be protected from methylation by transcription factors. Since our data suggest that HPV-18 L1 methylation can only be detected in carcinomas, except in some few precancerous lesions and asymptomatic infections, L1 methylation may constitute a powerful molecular marker for detecting this important step of neoplastic progression.

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