Disease Markers · 2019 · 11 citations · 23 references
MedicineOncologyPathologyGastrointestinal OncologyMolecular OncologyNeoplasiaCancer Survival AnalysisColonic DiseasesColorectal CancerMalignant NeoplasmsMolecular Classification Of TumorsTumor ClassificationDistant Nodal MetastasisKaplan-meier Confidence IntervalsMicrosatellite Instability AnalysisMicrosatellite Instability In Colorectal CancerMicrosatellite Instability PrognosisMicrosatellite Instability SubtypesNras MutationPolymerase Chain Reaction-based Microsatellite Instability Analysis
Background . Tumors with microsatellite instability (MSI tumors) have distinct clinicopathological features. However, the relation between these tumor subtypes and survival in colon cancer remains controversial. The aim of this study was to evaluate the overall survival (OS) in patients with MSI phenotype, in FES population. Methods . The expression of MMR proteins was evaluated by immunohistochemistry for 330 patients. BRAF , KRAS , and NRAS mutations were examined by Sanger sequencing and pyrosequencing methods. The association of MSI status with a patient’s survival was assessed by the Kaplan–Meier method and log-rank test. Results . The mean age was 54.6 years (range of 19-90 years). The MSI status was found in 11.2% of our population. MSI tumors were significantly associated with male gender, younger patients, stage I-II, right localization, and a lower rate of lymph node and distant metastasis. The OS tends to be longer in MSI tumors than MSS tumors (109.71 versus 74.08), with a difference close to significance (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.05</mml:mn></mml:math>). Conclusion . Our study demonstrates that MSI tumors have a particular clinicopathological features. The results of survival analysis indicate that the MSI status was not predictive of improved overall survival in our context with a lower statistical significance (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.05</mml:mn></mml:math>) after multivariate analysis.
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