RESUMO
BACKGROUND: Approximately 15% of patients infected by SARS-CoV-2 develop a distress syndrome secondary to a host hyperinflammatory response induced by a cytokine storm. Myelosuppression is associated with a higher risk of infections and mortality. There are data to support methods of management for neutropenia and COVID-19. We present a multicenter experience during the first COVID-19 outbreak in neutropenic cancer patients infected by SARS-CoV-2. METHODS: Clinical retrospective data were collected from neutropenic cancer patients with COVID-19. Comorbidities, tumor type, stage, treatment, neutropenia severity, G-CSF, COVID-19 parameters, and mortality were analyzed. A bivariate analysis of the impact on mortality was carried out. Additionally, we performed a multivariable logistic regression to predict respiratory failure and death. RESULTS: Among the 943 cancer patients screened, 83 patients (11.3%) simultaneously had neutropenia and an infection with COVID-19. The lungs (26%) and breasts (22%) were the primary locations affected, and most patients had advanced disease (67%). In the logistic model, as adjusted covariates, sex, age, treatment (palliative vs. curative), tumor type, and the lowest level of neutrophils were used. A significant effect was obtained for the number of days of G-CSF treatment (OR = 1.4, 95% CI [1,1,03,92], p-value = 0.01). CONCLUSIONS: Our findings suggest that a prolonged G-CSF treatment could be disadvantageous for these cancer patients with infections by COVID-19, with a higher probability of worse outcome.
Assuntos
Infecções por Coronavirus/tratamento farmacológico , Neutropenia/tratamento farmacológico , Pneumonia Viral/tratamento farmacológico , Pneumonia/tratamento farmacológico , Carcinoma de Pequenas Células do Pulmão/tratamento farmacológico , Betacoronavirus/patogenicidade , COVID-19 , Infecções por Coronavirus/complicações , Infecções por Coronavirus/patologia , Infecções por Coronavirus/virologia , Humanos , Terapia de Imunossupressão/efeitos adversos , Masculino , Pessoa de Meia-Idade , Estadiamento de Neoplasias , Neutropenia/complicações , Neutropenia/patologia , Neutropenia/virologia , Neutrófilos/efeitos dos fármacos , Neutrófilos/patologia , Neutrófilos/virologia , Nivolumabe/uso terapêutico , Oxigênio/uso terapêutico , Pandemias , Pneumonia/complicações , Pneumonia/patologia , Pneumonia/virologia , Pneumonia Viral/complicações , Pneumonia Viral/patologia , Pneumonia Viral/virologia , SARS-CoV-2 , Carcinoma de Pequenas Células do Pulmão/complicações , Carcinoma de Pequenas Células do Pulmão/patologia , Carcinoma de Pequenas Células do Pulmão/virologiaRESUMO
Cancer stem cells (CSCs) are a very heterogeneous subpopulation of "stem-like" cancer cells that have been identified in many cancers, including leukemias and solid tumors. It is believed that CSCs drive tumor growth, malignant behavior and are responsible for the initiation of metastatic spread. In addition, CSCs have been implicated in chemotherapy and radiotherapy resistance. Current evidence supports the theory that CSCs share at least two main features of normal stem cells: self-renewal and differentiation, properties that contribute to tumor survival even in the presence of aggressive chemotherapy; however, the mechanism(s) governing the unique biology of CSCs remain unclear. In the field of gastrointestinal cancer, where we face very low survival rates across different tumor types, unraveling the role of CSCs in gastrointestinal tumors should improve our knowledge of cancer biology and chemoresistance, ultimately benefiting patient survival. Towards this end, much effort is being invested in the characterization of CSCs as a means of overcoming drug resistance and controlling metastatic spread. In this review we will cover the concept of CSCs, the current evidence for CSCs in gastrointestinal tumors and future research directions.
Assuntos
Neoplasias Gastrointestinais/patologia , Células-Tronco Neoplásicas , Animais , Diferenciação Celular , Autorrenovação Celular , Quimiorradioterapia , Resistencia a Medicamentos Antineoplásicos , Neoplasias Gastrointestinais/terapia , HumanosRESUMO
Introducción: La actividad laboral en el cáncer de pulmón es un aspecto psicosocial que ha recibido poca atención hasta el momento actual por distintos motivos, a pesar de considerarse una dimensión de la calidad de vida para todo paciente oncológico. Objetivos: Analizar la reinserción y adaptación al entorno laboral en una cohorte de pacientes con un carcinoma de pulmón para describir los factores que influyen en la vuelta al trabajo de estos enfermos. Pacientes y métodos: El estudio incluyó 35 pacientes consecutivos diagnosticados de un cáncer de pulmón y que estaban empleados en el momento del diagnóstico. El cuestionario incluyó aspectos epidemiológicos, clínicos y laborales (32 variables en total) que se relacionaron con la reincorporación al mundo laboral. También se incluyeron percepciones subjetivas de los enfermos respecto a este tema. Resultados: El 96,9% de los pacientes pasaron a inactivos tras comenzar el tratamiento de la enfermedad y un 85,7% lo seguían estando tras éste. La presencia de secuelas fue la variable con mayor influencia en la inactividad laboral. Conclusiones: Éste es el primer estudio exploratorio en nuestro país acerca de la reinserción laboral de los pacientes diagnosticados de un carcinoma de pulmón (AU)
Background: Cancer affects many dimensions determining quality of life, including work. However, the importance of work to cancer survivors has received little attention. Aim: Employment and work-related disability were investigated in a cohort of lung cancer patients to describe a possible discrimination and other work issues. Patients and Methods: The study included consecutively 35 lung cancer patients who were employed at diagnosis. The questionnaire included cancer-related symptoms and work-related factors. Clinical details were obtained from the medical record. Patients were interviewed face to face and 32 variables were recorded. Results: 96,9 per cent of patients were unable to work after diagnosis, but 85,7% returned to work at the end of treatment. Most of the problems reported in the study were linked to the sequelae of their disease and related treatments. Conclusions: This is the first exploratory study in Spain about labour reintegration in lung cancer patients. Further studies are necessary (AU)
Assuntos
Humanos , Carcinoma de Pequenas Células do Pulmão/epidemiologia , Neoplasias Pulmonares/epidemiologia , Reabilitação Vocacional , Licença Médica/estatística & dados numéricos , 16054 , Descrição de CargoRESUMO
BACKGROUND: Determining life expectancy in terminally ill cancer patients is a difficult task. We aimed to develop and validate a nomogram to predict the length of survival in patients with terminal disease. METHODS: From February 1, 2003, to December 31, 2005, 406 consecutive terminally ill patients were entered into the study. We analyzed 38 features prognostic of life expectancy among terminally ill patients by multivariable Cox regression and identified the most accurate and parsimonious model by backward variable elimination according to the Akaike information criterion. Five clinical and laboratory variables were built into a nomogram to estimate the probability of patient survival at 15, 30, and 60 days. We validated and calibrated the nomogram with an external validation cohort of 474 patients who were treated from June 1, 2006, through December 31, 2007. RESULTS: The median overall survival was 29.1 days for the training set and 18.3 days for the validation set. Eastern Cooperative Oncology Group performance status, lactate dehydrogenase levels, lymphocyte levels, albumin levels, and time from initial diagnosis to diagnosis of terminal disease were retained in the multivariable Cox proportional hazards model as independent prognostic factors of survival and formed the basis of the nomogram. The nomogram had high predictive performance, with a bootstrapped corrected concordance index of 0.70, and it showed good calibration. External independent validation revealed 68% predictive accuracy. CONCLUSIONS: We developed a highly accurate tool that uses basic clinical and analytical information to predict the probability of survival at 15, 30, and 60 days in terminally ill cancer patients. This tool can help physicians making decisions on clinical care at the end of life.