Impact of Different Treatment Regimens and Timeframes in the Plasmatic Metabolic Profiling of Patients with Lung Adenocarcinoma.
Daniela MadamaDavid F CarragetaBárbara Guerra-CarvalhoMaria Filomena Rabaça Roque BotelhoPedro Fontes OliveiraCarlos R CordeiroMarco G AlvesAna Margarida Coelho AbrantesPublished in: Metabolites (2023)
In recent years, the treatment of advanced non-small cell lung cancer (NSCLC) has suffered a variety of alterations. Chemotherapy (CTX), immunotherapy (IT) and tyrosine kinase inhibitors (TKI) have shown remarkable results. However, not all patients with NSCLC respond to these drug treatments or receive durable benefits. In this framework, metabolomics has been applied to improve the diagnosis, treatment, and prognosis of lung cancer and particularly lung adenocarcinoma (AdC). In our study, metabolomics was used to analyze plasma samples from 18 patients with AdC treated with CTX or IT via 1 H-NMR spectroscopy. Relevant clinical information was gathered, and several biochemical parameters were also evaluated throughout the treatments. During the follow-up of patients undergoing CTX or IT, imaging control is recommended in order to assess the effectiveness of the therapy. This evaluation is usually performed every three treatments. Based on this procedure, all the samples were collected before the beginning of the treatment and after three and six treatments. The identified and quantified metabolites in the analyzed plasma samples were the following: isoleucine, valine, alanine, acetate, lactate, glucose, tyrosine, and formate. Multivariate/univariate statistical analyses were performed. Our data are in accordance with previous published results, suggesting that the plasma glucose levels of patients under CTX become higher throughout the course of treatment, which we hypothesize could be related to the tumor response to the therapy. It was also found that alanine levels become lower during treatment with CTX regimens, a fact that could be associated with frailty. NMR spectra of long responders' profiles also showed similar results. Based on the results of the study, metabolomics can represent a potential option for future studies, in order to facilitate patient selection and the monitoring of therapy efficacy in treated patients with AdC. Further studies are needed to improve the prospective identification of predictive markers, particularly glucose and alanine levels, as well as confer guidance to NSCLC treatment and patient stratification, thus avoiding ineffective therapeutic strategies.
Keyphrases
- advanced non small cell lung cancer
- patients undergoing
- small cell lung cancer
- healthcare
- randomized controlled trial
- end stage renal disease
- climate change
- machine learning
- mass spectrometry
- type diabetes
- high resolution
- chronic kidney disease
- magnetic resonance
- emergency department
- computed tomography
- stem cells
- photodynamic therapy
- blood pressure
- bone marrow
- squamous cell carcinoma
- rectal cancer
- data analysis
- artificial intelligence
- smoking cessation
- replacement therapy
- epidermal growth factor receptor
- brain metastases
- meta analyses
- deep learning
- adverse drug
- glycemic control