scholarly journals Metabolomic Profiling in Lung Cancer: A Systematic Review

Metabolites ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 630
Author(s):  
Daniela Madama ◽  
Rosana Martins ◽  
Ana S. Pires ◽  
Maria F. Botelho ◽  
Marco G. Alves ◽  
...  

Lung cancer continues to be a significant burden worldwide and remains the leading cause of cancer-associated mortality. Two considerable challenges posed by this disease are the diagnosis of 61% of patients in advanced stages and the reduced five-year survival rate of around 4%. Noninvasively collected samples are gaining significant interest as new areas of knowledge are being sought and opened up. Metabolomics is one of these growing areas. In recent years, the use of metabolomics as a resource for the study of lung cancer has been growing. We conducted a systematic review of the literature from the past 10 years in order to identify some metabolites associated with lung cancer. More than 150 metabolites have been associated with lung cancer-altered metabolism. These were detected in different biological samples by different metabolomic analytical platforms. Some of the published results have been consistent, showing the presence/alteration of specific metabolites. However, there is a clear variability due to lack of a full clinical characterization of patients or standardized patients selection. In addition, few published studies have focused on the added value of the metabolomic profile as a means of predicting treatment response for lung cancer. This review reinforces the need for consistent and systematized studies, which will help make it possible to identify metabolic biomarkers and metabolic pathways responsible for the mechanisms that promote tumor progression, relapse and eventually resistance to therapy.

Oncotarget ◽  
2016 ◽  
Vol 7 (11) ◽  
pp. 12904-12916 ◽  
Author(s):  
Leonor Puchades-Carrasco ◽  
Eloisa Jantus-Lewintre ◽  
Clara Pérez-Rambla ◽  
Francisco García-García ◽  
Rut Lucas ◽  
...  

2016 ◽  
Vol 4 (12) ◽  
pp. 960-968 ◽  
Author(s):  
Daniël A Korevaar ◽  
Laurence M Crombag ◽  
Jérémie F Cohen ◽  
René Spijker ◽  
Patrick M Bossuyt ◽  
...  

Metabolomics ◽  
2021 ◽  
Vol 17 (9) ◽  
Author(s):  
Pierluigi Reveglia ◽  
Carmela Paolillo ◽  
Gabriella Ferretti ◽  
Armando De Carlo ◽  
Antonella Angiolillo ◽  
...  

Abstract Background Alzheimer's disease (AD) is one of the most common causes of dementia in old people. Neuronal deficits such as loss of memory, language and problem-solving are severely compromised in affected patients. The molecular features of AD are Aβ deposits in plaques or in oligomeric structures and neurofibrillary tau tangles in brain. However, the challenge is that Aβ is only one piece of the puzzle, and recent findings continue to support the hypothesis that their presence is not sufficient to predict decline along the AD outcome. In this regard, metabolomic-based techniques are acquiring a growing interest for either the early diagnosis of diseases or the therapy monitoring. Mass spectrometry is one the most common analytical platforms used for detection, quantification, and characterization of metabolic biomarkers. In the past years, both targeted and untargeted strategies have been applied to identify possible interesting compounds. Aim of review The overall goal of this review is to guide the reader through the most recent studies in which LC–MS-based metabolomics has been proposed as a powerful tool for the identification of new diagnostic biomarkers in AD. To this aim, herein studies spanning the period 2009–2020 have been reported. Advantages and disadvantages of targeted vs untargeted metabolomic approaches have been outlined and critically discussed.


2019 ◽  
Vol 19 (3) ◽  
pp. 199-209 ◽  
Author(s):  
Bing-Di Yan ◽  
Xiao-Feng Cong ◽  
Sha-Sha Zhao ◽  
Meng Ren ◽  
Zi-Ling Liu ◽  
...  

Background and Objective: We performed this systematic review and meta-analysis to assess the efficacy and safety of antigen-specific immunotherapy (Belagenpumatucel-L, MAGE-A3, L-BLP25, and TG4010) in the treatment of patients with non-small-cell lung cancer (NSCLC). </P><P> Methods: A comprehensive literature search on PubMed, Embase, and Web of Science was conducted. Eligible studies were clinical trials of patients with NSCLC who received the antigenspecific immunotherapy. Pooled hazard ratios (HRs) with 95% confidence intervals (95%CIs) were calculated for overall survival (OS), progression-free survival (PFS). Pooled risk ratios (RRs) were calculated for overall response rate (ORR) and the incidence of adverse events. </P><P> Results: In total, six randomized controlled trials (RCTs) with 4,806 patients were included. Pooled results showed that, antigen-specific immunotherapy did not significantly prolong OS (HR=0.92, 95%CI: 0.83, 1.01; P=0.087) and PFS (HR=0.93, 95%CI: 0.85, 1.01; P=0.088), but improved ORR (RR=1.72, 95%CI: 1.11, 2.68; P=0.016). Subgroup analysis based on treatment agents showed that, tecemotide was associated with a significant improvement in OS (HR=0.85, 95%CI: 0.74, 0.99; P=0.03) and PFS (HR=0.70, 95%CI: 0.49, 0.99, P=0.044); TG4010 was associated with an improvement in PFS (HR=0.87, 95%CI: 0.75, 1.00, P=0.058). In addition, NSCLC patients who were treated with antigen-specific immunotherapy exhibited a significantly higher incidence of adverse events than those treated with other treatments (RR=1.11, 95%CI: 1.00, 1.24; P=0.046). </P><P> Conclusion: Our study demonstrated the clinical survival benefits of tecemotide and TG4010 in the treatment of NSCLC. However, these evidence might be limited by potential biases. Therefore, further well-conducted, large-scale RCTs are needed to verify our findings.


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