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Correlations between Molecular Alterations, Histopathological Characteristics, and Poor Prognosis in Esophageal Adenocarcinoma
SIMPLE SUMMARY: The molecular heterogeneity of esophageal adenocarcinoma (EAC), a severe malignancy with increasing incidence and low survival rates, misperceives the underlying biology of tumor onset and development. However, advances in high-throughput next-generation sequencing (NGS) technologies...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000513/ https://www.ncbi.nlm.nih.gov/pubmed/36900206 http://dx.doi.org/10.3390/cancers15051408 |
Sumario: | SIMPLE SUMMARY: The molecular heterogeneity of esophageal adenocarcinoma (EAC), a severe malignancy with increasing incidence and low survival rates, misperceives the underlying biology of tumor onset and development. However, advances in high-throughput next-generation sequencing (NGS) technologies have highlighted the potential role of somatic DNA sequence markers for new diagnostic techniques or constitute novel therapeutic targets. Thus, in order to identify a molecular and prognostic signature in EAC patients, we decided to integrate the sequencing of specimens from naïve patients (not treated with chemo-radiotherapy) with histological classification, with the aim of identification of potential biomarkers, and patient stratification. Combining different approaches paves the way for early identification and the selection of better therapy. ABSTRACT: Esophageal adenocarcinoma (EAC) is a severe malignancy with increasing incidence, poorly understood pathogenesis, and low survival rates. We sequenced 164 EAC samples of naïve patients (without chemo-radiotherapy) with high coverage using next-generation sequencing technologies. A total of 337 variants were identified across the whole cohort, with TP53 as the most frequently altered gene (67.27%). Missense mutations in TP53 correlated with worse cancer-specific survival (log-rank p = 0.001). In seven cases, we found disruptive mutations in HNF1alpha associated with other gene alterations. Moreover, we detected gene fusions through massive parallel sequencing of RNA, indicating that it is not a rare event in EAC. In conclusion, we report that a specific type of TP53 mutation (missense changes) negatively affected cancer-specific survival in EAC. HNF1alpha was identified as a new EAC-mutated gene. |
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