RESUMO
PURPOSE: Both venous and arterial thrombotic events (VTE/AT) can be associated with immune checkpoint inhibitors (ICI). However, there is a paucity of information apropos patients in routine clinical practice. METHODS/PATIENTS: Retrospective, multicenter study promoted by the Thrombosis and Cancer Section of the Spanish Society of Medical Oncology (SEOM). Individuals with kidney or bladder cancer who initiated ICI between 01/01/2015 and 12/31/2020 were recruited. Minimum follow-up was 6 months (except in cases of demise). The primary objective was to calculate the incidence of ICI-associated VTE/AT and secondary objectives included to analyze their impact on survival and identify variables predictive of VTE/AT. RESULTS: 210 patients with kidney cancer were enrolled. The incidence of VTE/AT during follow-up (median 13 months) was 5.7%. Median overall survival (OS) was relatively lower among subjects with VTE/AT (16 months, 95% CI 0.01-34.2 vs. 27 months, 95% CI 22.6-31.4; p = 0.43). Multivariate analysis failed to reveal predictive variables for developing VTE/ AT. 197 patients with bladder were enrolled. There was a 9.1% incidence rate of VTE/AT during follow-up (median 8 months). Median OS was somewhat higher in patients with VTE/AT (28 months, 95% CI 18.4-37.6 vs 25 months, 95% CI 20.7-29.3; p = 0.821). Serum albumin levels < 3.5 g/dl were predictive of VTE/ AT (p < 0.05). CONCLUSIONS: There appears to be no association between developing VTE/AT and ICI use in patients with renal or bladder cancer. Serum albumin levels are a predictive factor in individuals with bladder cancer.
Assuntos
Carcinoma de Células Renais , Neoplasias Renais , Trombose , Neoplasias da Bexiga Urinária , Tromboembolia Venosa , Humanos , Inibidores de Checkpoint Imunológico , Tromboembolia Venosa/etiologia , Estudos Retrospectivos , Bexiga Urinária , Oncologia , Neoplasias Renais/tratamento farmacológico , Neoplasias da Bexiga Urinária/tratamento farmacológico , Albumina Sérica , Fatores de RiscoRESUMO
BACKGROUND: Cell-free DNA analysis (cfDNA) holds promise for residual disease or tumor burden quantification in colorectal cancer, with reduced costs and diagnostic equipment compared to gold standard-specific tumor DNA (ctDNA) analysis. METHODS: This prospective case-control study included 46 colorectal cancer patients and healthy controls to perform cfDNA quantification by fluorometry using Quantus Fluorometer (Promega, Madison, WI) and using cell-free DNA ScreenTape assay (Agilent) and 4200 TapeStation instrument (Agilent Technologies, Inc., Santa Clara, CA, USA). cfDNA quantification results were correlated with stage, clinical and histopathological features. RESULTS: 33 localized (8 stage I, 12 stage II, and 13 stage III) and 13 advanced colorectal cancer patients were included. No differences in cfDNA quantification by fluorometry were demonstrated depending on stage or histopathological features in localized disease patients. Differences in cfDNA quantification by fluorometry could be demonstrated in patients with advanced disease depending on the presence of liver metastases and synchronous or metachronous metastatic disease. Differences in cfDNA quantification by fluorometry could be demonstrated between advanced colorectal cancer patients and both localized disease patients and healthy controls. Secondary cfDNA analysis by electrophoresis, although showing more specificity to measure ctDNA in cfDNA values, could not improve the capacity to detect differences between analyzed a groups beyond previously achieved with fluorometry. CONCLUSION: This exploratory analysis of cfDNA based on fluorometry and electrophoresis methods showed promising results discriminating colorectal cancer and non-cancer patients, as well as different colorectal cancer stages and disease profiles. Further studies are needed to increase our knowledge and to help to overcome barriers to broader implementation and applications.
Assuntos
Ácidos Nucleicos Livres , DNA Tumoral Circulante , Neoplasias Colorretais , Biomarcadores Tumorais , Estudos de Casos e Controles , HumanosRESUMO
Given the high prevalence of imported diseases in immigrant populations, it has postulated the need to establish screening programs that allow their early diagnosis and treatment. We present a mathematical model based on machine learning methodologies to contribute to the design of screening programs in this population. We conducted a retrospective cross-sectional screening program of imported diseases in all immigrant patients who attended the Tropical Medicine Unit between January 2009 and December 2016. We designed a mathematical model based on machine learning methodologies to establish the set of most discriminatory prognostic variables to predict the onset of the: HIV infection, malaria, chronic hepatitis B and C, schistosomiasis, and Chagas in immigrant population. We analyzed 759 patients. HIV was predicted with an accuracy of 84.9% and the number of screenings to detect the first HIV-infected person was 26, as in the case of Chagas disease (with a predictive accuracy of 92.9%). For the other diseases the averages were 12 screenings to detect the first case of chronic hepatitis B (85.4%), or schistosomiasis (86.9%), 23 for hepatitis C (85.6%) or malaria (93.3%), and eight for syphilis (79.4%) and strongyloidiasis (88.4%). The use of machine learning methodologies allowed the prediction of the expected disease burden and made it possible to pinpoint with greater precision those immigrants who are likely to benefit from screening programs, thus contributing effectively to their development and design.