Fertility-Sparing Options in Young Women with Cervical Cancer.

Cervical cancer (CC) is the fourth most frequent tumor and the fourth most common cause of cancer death among women worldwide. Furthermore, more than 40 % of women with early CC are affected during reproductive age and wish to remain fertile. Thus, many patients demand a more conservative policy for managing these lesions in order to have an uneventful pregnancy in the near future. For this reason, interest in fertility preservation strategies has been increasing, and the number of published studies on this topic has grown significantly. Conization was the first fertility-sparing surgical procedure tested in stage IA1 CC. However, in recent decades, other strategies have been tested, particularly for more advanced tumors. The aim of this review is to analyze the main techniques performed in patients with CC who are eligible for fertility-sparing surgery, with particular attention paid to open questions and controversies

A genetic network that suppresses genome rearrangements in Saccharomyces cerevisiae and contains defects in cancers

Gross chromosomal rearrangements (GCRs) play an important role in human diseases, including cancer. The identity of all Genome Instability Suppressing (GIS) genes is not currently known. Here multiple Saccharomyces cerevisiae GCR assays and query mutations were crossed into arrays of mutants to identify progeny with increased GCR rates. One hundred eighty two GIS genes were identified that suppressed GCR formation. Another 438 cooperatively acting GIS genes were identified that were not GIS genes, but suppressed the increased genome instability caused by individual query mutations. Analysis of TCGA data using the human genes predicted to act in GIS pathways revealed that a minimum of 93% of ovarian and 66% of colorectal cancer cases had defects affecting one or more predicted GIS gene. These defects included loss-of-function mutations, copy-number changes associated with reduced expression, and silencing. In contrast, acute myeloid leukaemia cases did not appear to have defects affecting the predicted GIS genes