Cervical Cancer Clinical Trial
Official title:
microRNA Profile Associated With Positive Lymph Node Metastasis in Early-stage Cervical Cancer
Persistent infections with high-risk subtypes of the human papillomavirus (HPV) are recognized as the etiological factor for developing cervical cancer. The aim od this study was to identify a miRNA profile in patients with early-stage cervical cancer with positive lymph node metastasis treated. Formalin-fixed paraffin-embedded (FFPE) tissue samples of patients with a diagnosis of early-stage cervical cancer treated by radical hysterectomy with lymphadenectomy were collected.
Cervical carcinoma (CC) is one of the most common cancers in women from countries with
emerging economies; in Mexico, CC has the second highest incidence and mortality rate.
Several studies have demonstrated that the most important prognostic factor is lymph node
metastasis in early-stage CC patients prior to radical hysterectomy (RH) with bilateral
pelvic lymphadenectomy (BPL), in which positive lymph node metastasis decreasing overall
survival (OS) from 80% to 53% at 5 years.
MicroRNAs (miRNAs) are single-strand RNAs comprising approximately 21-23 nucleotides. miRNAs
regulate gene expression through the inhibition of posttranscriptional events and, in some
cases, induce the degradation of their target messenger RNA. In cancer, miRNAs can function
as both oncogenes and/or as tumor suppressor genes depending on the function of their target
genes.
Formalin-fixed paraffin-embedded (FFPE) tissue blocks from CC patients diagnosed between
January 2006 and December 2013 at the Department of Oncologic Gynecology of the National
Cancer Institute (Mexico City) were analyzed with the intention of selecting those with a
confirmed histopathological diagnosis of stages IB1 or IIA1 CC treated with RH and BPL. Total
RNA was extracted from 5 (10-µm) sections for selected tissues.For the clinical correlation
analysis, the samples were divided into 2 groups: 1 with positive occult lymph node
metastasis pathology and 1 without lymph node metastasis pathology. For both groups, patients
were matched for age, tumor size and presence of lymphovascular permeation.
The identification of global miRNA profiles was performed using GeneChip miRNA 3.0 Array
(Affymetrix, Cat. 902018) following the manufacturer's instructions. the microarray was
hybridized and washed using the Affymetrix Fluidics Station 450 and scanned with the
Affymetrix GeneChip Scanner 3000. After processing the images, the raw data were processed.
To obtain the miRNA profile, the processed samples were divided into 2 groups, samples with
lymph node metastasis and samples without lymph node metastasis. Differentially expressed
miRNAs were identified using a cutoff value of p <0.01 and a fold change (FC) of 1.5. miRNAs
that met these criteria were classified as over-expressed or under-expressed.
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