RESUMENIntroducción: Oncotype Dx ® predice el riesgo de recurrencia y asiste la prescripción de quimioterapia adyuvante en cáncer de mama temprano con receptores hormonales positivos, HER2 negativo y ganglios negativos o hasta tres positivos. Objetivo: Determinar la frecuencia de recurrencia y las características clínico-patológicas en los grupos de riesgo establecidos por Oncotype Dx ® , según la puntuación de recurrencia tradicional y TAILORx. Material y métodos: Se incluyeron mujeres > 18 años con cáncer de mama temprano (estadio clínico I-IIB), RH+/HER2 neg y ganglios negativos o 1-3 positivos. Se analizaron las características clínico-patológicas, recurrencia y supervivencia libre de recurrencia en los grupos con riesgo bajo, intermedio y alto. Resultados: Clasificación original: riesgo bajo 72 casos (52.94%), riesgo intermedio 49 (36.03%) y riesgo alto 15 (11.03%). Clasificación TAILORx: 28 pacientes (20.59%), 86 (63.24%) y 22 (16.18%) tuvieron riesgo bajo, intermedio y alto. Se observó recurrencia en 13/88 casos (14.8%); la supervivencia libre de recurrencia fue 91.3, 84.8 y 55.6% para
e21593 Background: Non-Small cell lung cancer (NSCLC) is the most common type of lung cancer and accounts for most of all cancer-related morbidity and deaths in the World. Recent Evidence shows that inflammatory response is associated with a poor prognostic in several cancers. Evaluating these markers is of great importance to classify patients of solid tumors including NSCLC. Inflammatory markers like, Glasgow Prognostic Score (GPS), Lung Immune prognostic index (LIPI) and C-Reactive Protein (CRP) have been associated with poor prognosis in patients treated with immune checkpoint inhibitors. Neutrophil to Lymphocyte Ratio (NLR) is a biomarker for the general immune response to various stress stimuli in peripheral blood. It can be easily determined, inexpensive and can correlate with poor outcomes. Methods: A review of medical records was performed including patients from January 2013 to December 2018. The clinical characteristics were described, analyzed and the NLR and the LIPI were calculated. Categorical variables were analyzed with Chi-square test and the correlation was analyzed with the Pearson correlation coefficient. Variables were included in the construction of survival models through Cox multivariate regression using statistical software: STATA SE ver11.0 (StataCorp LLC Texas,USA). Results: A total of 175 patients with complete medical record and pathology samples were included. Around half of patients were female. The mean age was 69 years ± 11 years. The most frequent histology was Adenocarcinoma in 87%, Epidermoid 10% and others 3%. The most frequent mutations were KRAS 25%, EGFR 22% and ALK 1%. PDL-1 > 1% was determined in 20% of patients. Clinical stage IV was found in 58% of the cases followed by Clinical Stage I, II and III with 25%, 9%, 8% respectively. The NLR > 4 is associated with a worse prognosis in Stage I and II HR = 5.4 (95% CI 1.73 - 17.17, p = 0.004). LIPI > 2 had predictive capacity for progression in Stage IV HR = 8.2 (IC 95 % 2.39-23.4, p = < 0.001). Conclusions: NLR > 4 showed prognostic value for recurrence in early clinical stages. LIPI score > 2 resulted in higher risk for progression in metastatic stages. Determination of these indexes has the potential as a readily available prognostic indicator for patients.
e12543 Background: In México the 5-year overall survival of Early Breast Cancer (EBC) reaches to 82-97%. Oncotype Dx evaluates the expression of 21 genes associated with recurrence and classifies patients into risk groups. PREDICT (https://breast.predict.nhs.uk/tool) is an online tool which assesses 5 and 10 year overall survival in breast cancer patients who receive adjuvant chemotherapy, adjuvant hormonal therapy and trastuzumab therapy for HER2(+) patients. Methods: Retrospective review of medical records of early stage breast cancer patients with (HR+) and HER2 (-) treated at our institution. Clinicopathological characteristics and (RS) were collected. 5-year overall survival was calculated with the PREDICT online tool. Both scores were compared and the correlation was estimated with Spearman’s Rho and global agreement with intraclass correlation coefficient (CCI), statistical software: STATA SE ver11.0 (StataCorp LLC Texas,USA). Results: From January 2008 to December 2018, 136 patients with EBC (IA-IIB), HR(+) HER2(-), N0-1 were included. The Median age at diagnosis was 55.03 years (30-80). Stage IA patients accounted for 68.38% of the population. Patients were classified into risks according to the original description of Oncotype. 72 patients (53%) were classified as low risk (LR), 49 (36%) at intermediate risk (IR) and 15 (11%) patients at high risk (HR). When reclassifying the risk categories using the cut-off values in TAILORx trial, the population distribution was modified, with a notable increase in the population in IR with 86 (63.2%) patients in this group, 28 patients in the LR group ( 20.5%) and 22 patients (16.1%) in HR. We decided to use TAILORx cut-off values for the aim of this work. Mean overall survival established by the 21 gene RS was 98% for the overall population. The mean overall survival calculated by PREDICT was 93%. Spearman’s correlation coefficient was 0.16 (Spearman’s Rho = 0.16 p = 0.065) with intraclass correlation coefficient (ICC) = 0.04 (IC 95% -0.15 – 0.22, p = 0.33). Conclusions: The results do not show a clear correlation between the tests. Lack of such correlation may be due to a low number of patients. In our population PREDICT couldn't replace the RS test for therapeutic decision making.
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