Publications by authors named "J Frias-Gomez"
Article Synopsis
- Endometrial cancer is influenced by estrogens and the study investigates the impact of environmental pollutants, specifically xenoestrogens, on this type of cancer.
- The research involved analyzing serum samples from 156 patients with endometrial cancer and 150 control subjects to measure the combined estrogenic activity related to these pollutants.
- Results showed no significant difference in xenoestrogen levels between cases and controls, but indicated a complex relationship between exposure levels and cancer risk, with some associations identified for intermediate exposure categories.
Article Synopsis
- Endometrial cancer is the most common gynecological cancer in developed countries, and its incidence is expected to rise, prompting the need to identify modifiable risk factors for prevention.
- This study investigates the link between occupational pesticide exposure and endometrial cancer using data from 174 cancer cases and 216 control subjects in Spain, utilizing structured questionnaires and a job-exposure matrix to assess pesticide exposure.
- The findings indicate a significant association between pesticide exposure and endometrial cancer, particularly for insecticides, fungicides, and herbicides, with the strongest links found in agricultural activities, suggesting a need for further exploration of pesticides’ role in cancer development.
Article Synopsis
- A study analyzed data from 7,207 endometrial cancer cases and 22,027 controls to investigate the impact of night shift work and sleep duration on endometrial cancer risk among postmenopausal women.
- The findings indicated a non-significant inverse relationship between night shift work and endometrial cancer, meaning it did not appear to increase risk significantly.
- Additionally, the duration of sleep (short or long) did not correlate with an increased risk of endometrial cancer, although an inverse association was noted specifically for obese women.
Article Synopsis
- The study investigated the increasing prevalence of endometrial cancer and aimed to improve molecular classification and detection using non-invasive cervicovaginal samples.
- It included 139 patients with endometrial cancer and 107 controls, analyzing a total of 339 samples through next-generation sequencing (NGS) to identify genetic mutations.
- Results showed that 73% of cancer cases had detectable mutations, with varying prognoses based on specific mutations, highlighting the potential of using non-invasive methods for better diagnosis and treatment.
Purpose: Current diagnostic methods for endometrial cancer lack specificity, leading to many women undergoing invasive procedures. The aim of this study was to evaluate somatic mutations in urine to accurately discriminate patients with endometrial cancer from controls.
Experimental Design: Overall, 72 samples were analyzed using next-generation sequencing (NGS) with molecular identifiers targeting 47 genes.