Introduction/Background Despite of a well managed surgery and good histological and clinical features, some patients relapse after the treatment of early stage cervical cancer. The comprehensive genetic and molecular characteristics of malignant cervical tumours were described by The Cancer Genome Atlas Research Network. However, the TCGA data only published sequencing results with few clinical and histological data. Yet, the literature remains scarce about genetic alterations and outcome correlation in early stage cervical cancer.
Our translational study use a pan-genomic approach to evaluate recurrent genetic alterations seen in early cervical cancer patients. We aim to evaluate the correlation between molecular findings and clinical outcome and to find new prognostic biomarkers in early cervical cancer.
Methodology We included the first 150 patients randomized in the Senticol III trial. This large multicen-tric, prospective, randomized, and international ‘validation study’ tries to validate sentinel node biopsy as nodal staging of early cervical cancers (stage Ia – IIa1).
Cervical tumor slides were analyzed and stratified based on well-established histological criteria (SEDLIS criteria). The immune microenvironment characteristics including TIL’s in-filtration and PDL1 CPS score were assessed. We made HPV detection and typing by PCR of the tumor samples. We performed DNA and RNA extractions from the FFPE tumor specimens. Using the dedicated gene panel developed by our team, we analyzed 571 genes commonly altered in cancer. We performed high throughput RNA sequencing to es-tablish the gene expression profile of each tumor and its associated stroma.
The genomic and transcriptomic analysis assessed the tumor mutational load, the most frequently altered genes and their expression. The biostatistical analyses will correlate mo-lecular alterations, histopathological and clinical classical features, with patient outcome. The different parameters will be first analyzed independently (univariate analysis) and then in a multiparametric manner (logistic regression).
Results TiP : No results
Conclusion TiP : No conclusion
Disclosures No disclosures declared
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