RESUMO
This study investigated the association between COVID-19 infection and host metabolic signatures as prognostic markers for disease severity and mortality. We enrolled 82 patients with RT-PCR confirmed COVID-19 infection who were classified as mild, moderate, or severe/critical based upon their WHO clinical severity score and compared their results with 31 healthy volunteers. Data on demographics, comorbidities and clinical/laboratory characteristics were obtained from medical records. Peripheral blood samples were collected at the time of clinical evaluation or admission and tested by quantitative mass spectrometry to characterize metabolic profiles using selected metabolites. The findings in COVID-19 (+) patients reveal changes in the concentrations of glutamate, valeryl-carnitine, and the ratios of Kynurenine/Tryptophan (Kyn/Trp) to Citrulline/Ornithine (Cit/Orn). The observed changes may serve as predictors of disease severity with a (Kyn/Trp)/(Cit/Orn) Receiver Operator Curve (ROC) AUC = 0.95. Additional metabolite measures further characterized those likely to develop severe complications of their disease, suggesting that underlying immune signatures (Kyn/Trp), glutaminolysis (Glutamate), urea cycle abnormalities (Cit/Orn) and alterations in organic acid metabolism (C5) can be applied to identify individuals at the highest risk of morbidity and mortality from COVID-19 infection. We conclude that host metabolic factors, measured by plasma based biochemical signatures, could prove to be important determinants of Covid-19 severity with implications for prognosis, risk stratification and clinical management.
Assuntos
COVID-19/patologia , Metaboloma , Metabolômica/métodos , Adulto , Idoso , Área Sob a Curva , COVID-19/mortalidade , COVID-19/virologia , Carnitina/metabolismo , Citrulina/metabolismo , Feminino , Ácido Glutâmico/metabolismo , Humanos , Cinurenina/metabolismo , Masculino , Pessoa de Meia-Idade , Ornitina/metabolismo , Curva ROC , Fatores de Risco , SARS-CoV-2/isolamento & purificação , Índice de Gravidade de Doença , Triptofano/metabolismoRESUMO
BACKGROUND: The treatment of carcinoma of unknown primary based on histopathology and immunohistochemistry is generally chemotherapy. The use of molecular markers, genetic profiling platforms, and personalized medicine is under active investigation. CASE REPORT: We report the case of a 56-year-old patient who presented to medical attention with palpable axillary adenopathy. Biopsy confirmed poorly differentiated adenocarcinoma. Formal staging revealed extensive metastatic disease to bone and liver. Initial chemotherapy proved ineffective. We describe the diagnostic evaluation, treatment, and achievement of durable remission using a novel sorafenib-based drug combination that was chosen through the application of a functional analytic laboratory platform. CONCLUSION: The clinical management of patients with carcinoma of unknown primary continues to present a considerable challenge for practicing oncologists. Laboratory platforms capable of examining cellular response to injury, growth factor withdrawal, and cytotoxic insult at the level of cellular function may provide insights for drug selection in this patient population.
RESUMO
Breast cancer remains a leading cause of morbidity and mortality worldwide yet methods for early detection remain elusive. We describe the discovery and validation of biochemical signatures measured by mass spectrometry, performed upon blood samples from patients and controls that accurately identify (>95%) the presence of clinical breast cancer. Targeted quantitative MS/MS conducted upon 1225 individuals, including patients with breast and other cancers, normal controls as well as individuals with a variety of metabolic disorders provide a biochemical phenotype that accurately identifies the presence of breast cancer and predicts response and survival following the administration of neoadjuvant chemotherapy. The metabolic changes identified are consistent with inborn-like errors of metabolism and define a continuum from normal controls to elevated risk to invasive breast cancer. Similar results were observed in other adenocarcinomas but were not found in squamous cell cancers or hematologic neoplasms. The findings describe a new early detection platform for breast cancer and support a role for pre-existing, inborn-like errors of metabolism in the process of breast carcinogenesis that may also extend to other glandular malignancies. Statement of Significance: Findings provide a powerful tool for early detection and the assessment of prognosis in breast cancer and define a novel concept of breast carcinogenesis that characterizes malignant transformation as the clinical manifestation of underlying metabolic insufficiencies.