Loss of sequences on the short arm of chromosome 17 is a late event in squamous carcinoma of the cervix

Genome-wide repeat landscapes in cancer and cell-free DNA

Genetic changes in repetitive sequences are a hallmark of cancer and other diseases, but characterizing these has been challenging using standard sequencing approaches. We developed a de novo kmer finding approach, called ARTEMIS (Analysis of RepeaT EleMents in dISease), to identify repeat elements from whole-genome sequencing. Using this method, we analyzed 1.2 billion kmers in 2837 tissue and plasma samples from 1975 patients, including those with lung, breast, colorectal, ovarian, liver, gastric, head and neck, bladder, cervical, thyroid, or prostate cancer. We identified tumor-specific changes in these patients in 1280 repeat element types from the LINE, SINE, LTR, transposable element, and human satellite families. These included changes to known repeats and 820 elements that were not previously known to be altered in human cancer. Repeat elements were enriched in regions of driver genes, and their representation was altered by structural changes and epigenetic states. Machine learning analyses of genome-wide repeat landscapes and fragmentation profiles in cfDNA detected patients with early-stage lung or liver cancer in cross-validated and externally validated cohorts. In addition, these repeat landscapes could be used to noninvasively identify the tissue of origin of tumors. These analyses reveal widespread changes in repeat landscapes of human cancers and provide an approach for their detection and characterization that could benefit early detection and disease monitoring of patients with cancer.

A Comprehensive Review of Dysregulated miRNAs Involved in Cervical Cancer

MicroRNAs(miRNAs) have become the center of interest in oncology. In recent years, various studies have demonstrated that miRNAs regulate gene expression by influencing important regulatory genes and thus are responsible for causing cervical cancer. Cervical cancer being the third most diagnosed cancer among the females worldwide, is the fourth leading cause of cancer related mortality. Prophylactic human papillomavirus (HPV) vaccines and new HPV screening tests, combined with traditional Pap test screening have greatly reduced cervical cancer. Yet, thousands of women continue to be diagnosed with and die of this preventable disease annually. This has necessitated the scientists to ponder over ways of evolving new methods and chalk out novel treatment protocols/strategies. As miRNA deregulation plays a key role in malignant transformation of cervical cancer along with its targets that can be exploited for both prognostic and therapeutic strategies, we have collected and reviewed the role of miRNA in cervical cancer. A systematic search was performed using PubMed for articles that report aberrant expression of miRNA in cervical cancer. The present review provides comprehensive information for 246 differentially expressed miRNAs gathered from 51 published articles that have been implicated in cervical cancer progression. Of these, more than 40 miRNAs have been reported in the literature in several instances signifying their role in the regulation of cancer. We also identified 40 experimentally validated targets, studied the cause of miRNAs dysregulation along with its mechanism and role in different stages of cervical cancer. We also identified and analysed miRNA clusters and their expression pattern in cervical cancer. This review is expected to further enhance our understanding in this field and serve as a valuable reference resource.

Common chromosomal abnormalities in mycosis fungoides transformation

To identify cytogenetic features of large cell transformation in mycosis fungoides (T-MF), we selected in 11 patients, 16 samples either from skin tumors (13), lymph node (1), or peripheral blood cells (2) collected at the time of the transformation. Comparative genomic hybridization (CGH), G-banding, fluorescence in situ hybridisation (FISH), multicolour FISH (mFISH), and DNA content analysis were used. Fifteen samples displayed unbalanced CGH profiles, with gains more frequently observed than losses. Recurrent chromosomal alterations were observed for chromosomes 1, 2, 7, 9, 17, and 19. The most common imbalances were gain of chromosome regions 1p36, 7, 9q34, 17q24-qter, 19, and loss of 2q36-qter, 9p21, and 17p. In six samples 1p36-pter gain was associated with 9q34-qter gain and whole chromosome 19 gain. In five of these samples whole or partial gain of chromosome 17 was also observed. No specific pattern was seen with regard to the expression of the CD30 antigen by tumor cells. Cytogenetics and/or DNA content analysis of skin tumor cells revealed an abnormal chromosome number in all tested cases (n = 7) with DNA ploidy ranging from hyperdiploid (2.78) to hypotetraploid (3.69) (mean 3.14+/-0.38). Thus, T-MF displayed frequent chromosomal imbalances associated with hypotetraploidy.

Genomic Aberrations and Survival in Cutaneous T Cell Lymphomas

Information on chromosomal aberrations in cutaneous T cell lymphomas (CTCL), is scarce. In this study, comparative genomic hybridization (CGH) was used to analyze chromosomal imbalances (CI) in 32 patients with CTCL. CI were detected in 21 patients (66%). Euchromatic loss (dim) was localized most frequently (>16%) at the chromosomal regions 17p (28%), 13q (25%), 10q (16%), and 6q (19%), and gain of chromatin (enh) at 7 (25%), 8q (25%), and 17q (16%). The pattern dim6q-enh7-enh8-dim13 was the most frequent combination of CI. The number of aberrations per tumor sample varied between 0 and 19 and correlated with clinical tumor stages: from none in stage Ia to 8.75+/-1.8 (mean+/-SEM) in stage IVa. CI occurred more frequently in aggressive subtypes (9.33+/-2.16) than in indolent (2.88+/-0.8) subtypes. A high number of CI (>/=5) was associated with shorter survival. Gain of chromatin in 8q and loss of 6q and 13q correlated with a significantly shorter survival, whereas the most frequently observed aberrations (loss in 17p and gain in 7) did not influence the prognosis. In summary, CGH analysis revealed a characteristic pattern of recurring chromosomal gains and losses in CTCL. The association of the imbalances with the clinical course of the disease suggests that genes encoded at these loci may influence tumor development and progression.