Browsing by Author "Petric, Militza"
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- ItemAbstract PS6-37: Clinical stage is the only predictor of survival in breast cancer patients with a complete pathological response(2021) Acevedo, Francisco; Walbaum, Benjamin; Merino, Tomas; Petric, Militza; Sanchez, CesarINTRODUCTION In breast cancer (BC) patients, achieving a complete pathological response (pCR) after neoadjuvant chemotherapy (NCT) is associated with better prognosis. Despite this, some of these patients will experience recurrences of the disease and will eventually die of BC. We identified clinical factors that can affect recurrence and survival in BC patients who achieve pCR.METHODSRetrospective analysis of a Chilean BC database including patients treated in public and private hospitals in Santiago, Chile from 2010 to 2019. pCR was defined as the absence of residual invasive disease in the breast and in the axillary lymph nodes (ypT0/is N0) at the completion of the NCT. Invasive Disease-Free Survival (IDFS), Distant Disease-Free Survival (DDFS) and BC-specific survival (BCS) was measured from the time of diagnosis to the event or lost to follow-up. We performed Cox regression analysis to identify factors associated with prognosis.RESULTSFrom 855 patients who received NCT, 195 (22.8%) achieved pCR and were included in this study. Clinical characteristics are shown in table 1. 76 (37.9%) patients had hormone receptor positive (HR+) and 113 (57.4%) had Human epidermal growth factor 2 (HER2) positive tumors. 88.7% were treated with a regimen that included anthracyclines and taxanes. With a median follow-up of 36 months, three-year IDFS, DDFS and BCS and their 95% confidence intervals were 90.9% (84.7 - 94.6), 91.8% (86.0 - 95.3) and 93.8% (87.8 - 97.5); respectively. The stage at diagnosis was the only predictor associated with IDFS (Hazard ratio (HR) = 5.6; p = 0.02), DDFS (HR = 4.1, p = 0.07), and BCS (HR = 8.3, p = 0.04). Body mass index (BMI), age, hospital, HR or HER2 status, lymph node involvement, or the presence of an in-situ component, were not associated with prognosis in the multivariate analysis.CONCLUSIONThe clinical stage at diagnosis was the only predictor of survival in patients who achieved pCR after NCT. Short follow-up and few events may have affected these results. This data is consistent with previously published work. Table 1. Tumor and patient characteristicsMedian age49 (24 – 78)HospitalPublic57.4%Private43.6%BMIMedian27.2 (18.5 – 44.7)Overweight38.0%Obese31.9%Receptor StatusRH+/HER2-16.4%RH+/HER2+21.5%RH-/HER2+35.9%RH-/HER2-26.2%Clinical StageI2.1%II47.4%III50.5%Lymph Node +69.7%ypT0/N078.1%ChemotherapyAnthracycline5.1%Taxane6.2%Anthracycline-Taxane88.7% Citation Format: Francisco Acevedo, Benjamin Walbaum, Tomas Merino, Militza Petric, Cesar Sanchez. Clinical stage is the only predictor of survival in breast cancer patients with a complete pathological response [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS6-37.
- ItemBetter overall survival in patients who achieve pathological complete response after neoadjuvant chemotherapy for breast cancer in a Chilean public hospital(2021) Acevedo, Francisco; Petric, Militza; Walbaum, Benjamin; Robin, Julieta; Legorburu, Luisa; Murature, Geraldine; Guerra, Constanza; Navarro, Marisel; Canovas, María José; Sanchez, Cesar; Vargas, Lorena; Manzor, Manuel; Peña, José; Muñiz, Sabrina; Veglia, Paulina; Cartes, Raúl; Martinez, RaúlIntroduction: There is extensive evidence associating the response to neoadjuvant chemotherapy (NeoCT) with breast cancer (BC) survival. However, to the author’s knowledge, there is no published data in Chile. The objective of the study is to evaluate whether achieving pathological complete response (pCR) after NeoCT is associated with greater survival and lower risk of recurrence in a Chilean Public Health Service. Methods: Retrospective analysis of a database. Patients with a diagnosis of Stages I–III BC who received NeoCT between 2009 and 2019 were included. Clinical and pathological information were extracted from the clinical records. BC subtypes were defined using hormone receptor (HR) information (HR: oestrogen and/or progesterone) and epidermal growth factor type 2 (HER2), being divided into four groups: HR /HER2−, HR /HER2 , HR−/HER2 , HR-/HER2−. pCR was defined as the absence of invasive cancer in the breast and axilla (ypT0/is N0) after NeoCT. Results: Of 3,092 patients, 17.2% received NeoCT. Of these, 40.2% corresponded to HR /HER2−, 20.9% HR /HER2 , 18.2% HR−/HER2 and 20.7% HR−/HER2−. Overall, 24.8% achieved pCR, being the lowest for HR /HER2− (10.3%) and the highest for HR−/HER2 (53.2%). In the multivariable analysis, family history, HER2 and type of chemotherapy were associated with a greater probability of pCR. With a median follow-up of 40 months, the overall survival and metastasis-free survival (MFS) at 3 years were greater for the group with pCR compared to that which did not achieve it (90.5% versus 76.7%, p = 0.03 and 88.5% versus 71.4%, p = 0.003, respectively). The multivariable analysis confirmed this finding. Brain MFS was similar in both groups. Conclusion: NeoCT is associated with greater pCR in aggressive BC subtypes. In those, achieving pCR was associated with better survival in our study. To the author’s knowledge, this is the first study which evaluates the relation between pCR and BC subtypes in a Chilean public hospital.
- ItemMachine learning analysis of a Chilean breast cancer registry(2021) Acevedo, Francisco; Causa, Leonardo; Bravo, Sebastián; García, Pablo; Cuevas, Ricardo; Bravo, Maria Loreto; Avellaira, Carla; Muñiz, Sabrina; Petric, Militza; Martinez, Raúl; Guerra, Constanza; Navarro, Marisel; Taramasco, Carla; Sanchez, CesarIn recent years, artificial intelligence (AI) and machine learning (a form of AI) have offered valuable tools for medicine by applying and training algorithms in order to make predictions. Herein, we applied a machine learning algorithm to analyze data from a >20 year breast cancer (BC) registry elaborated in two Chilean health institutions (a public hospital and a private center) that includes a total of 4838 patients and their basic clinicalpathological characteristics. Preliminary results suggest that this cohort of patients can be subdivided into five clusters according to key variables that also correlate with overall survival and disease-free survival rates. To our knowledge this is the first Latin American report of its kind. Our laboratory is currently expanding these analyses.