The metabolomic detection of lung cancer biomarkers in sputum (original) (raw)

Advances in sputum analysis for screening and early detection of lung cancer

Cancer control : journal of the Moffitt Cancer Center

Screening for lung cancer using currently available techniques is not effective in reducing mortality from the disease. Archived sputum specimens and clinical data linking specimens to lung cancer outcomes from prior screening programs have been reexamined to evaluate altered gene expressing, including specific oncogene activation and tumor suppressor gene deletion, as well as genomic instability and abnormal methylation. Several of these tests allow determination of a molecular diagnosis of cancer years before clinical presentation. These sputum tests provide an impetus to reconsider screening for lung cancer. Prospective trials are required to confirm test performance characteristics, and management and intervention strategies must be developed that are appropriate to the stage at which lung cancer is diagnosed.

A novel combined score of biomarkers in sputum may be an indicator for lung cancer: A pilot study

Clinica Chimica Acta, 2018

Background: Lung cancer is a leading cause of morbidity and mortality worldwide and there is an urgent need for sensitive, specific, and reliable biomarkers. Methods: The study population included 60 patients (31 with lung cancer and 29 with chronic obstructive pulmonary disease [COPD]) and thirty healthy individuals comprised the control group. Measurements of neutrophil, beclin-1, VEGF, ICAM, VCAM, and TNF-alpha levels in induced sputum were analyzed as possible biomarkers for lung cancer. Results: Neutrophil, beclin-1, VEGF, ICAM and TNF-alpha levels of lung cancer patients differed significantly compared to those of COPD patients and healthy controls. A novel combined-score was created which was found to increase the likelihood to belong to the cancer group by 70% (odds-ratio 1.70 CI = 1.310-2.224,p < 0.001). Conclusion: Biomarkers of autophagy, angiogenesis and inflammation in lung-cancer patients are significantly different from controls, and combination of these markers may be an indicator for lung cancer.

Molecular sputum analysis for the diagnosis of lung cancer

British journal of cancer, 2013

Lung cancer is the leading cause of cancer mortality rate worldwide, mainly because of the presence of metastatic disease at the time of diagnosis. Early detection of lung cancer improves prognosis, and towards this end, large screening trials in high-risk individuals have been conducted since the past century. Despite all efforts, the need for novel (complementary) lung cancer diagnostic and screening methods still exists. In this review, we focus on the assessment of lung cancer-related biomarkers in sputum in the past decennium. Besides cytology, mutation and microRNA analysis, special attention has been paid to DNA promoter hypermethylation, of which all available literature is summarised without time restriction. A model is proposed to aid in the distinction between diagnostic and risk markers. Research on the use of sputum for non-invasive detection of early-stage lung cancer has brought new insights and advanced molecular techniques. The sputum shows a promising potential for...

Metabolomic-based biomarker discovery for non-invasive lung cancer screening: A case study

2016

BackgroundLung cancer (LC) is one of the leading lethal cancers worldwide, with an estimated 18.4% of all cancer deaths being attributed to the disease. Despite developments in cancer diagnosis and treatment over the previous thirty years, LC has seen little to no improvement in the overall five year survival rate after initial diagnosis.MethodsIn this paper, we extended a recent study which profiled the metabolites in sputum from patients with lung cancer and age-matched volunteers smoking controls using flow infusion electrospray ion mass spectrometry. We selected key metabolites for distinguishing between different classes of lung cancer, and employed artificial neural networks and leave-one-out cross-validation to evaluate the predictive power of the identified biomarkers.ResultsThe neural network model showed excellent performance in clas sification between lung cancer and control groups with the area under the receiver operating characteristic curve of 0.99. The sensitivity an...

Prolonged sampling of spontaneous sputum improves sensitivity of hypermethylation analysis for lung cancer

Journal of Clinical Pathology, 2012

Aims The adequacy of lung cancer diagnosis with sputum cytology depends on duration of sputum sampling. The aim of this methodological study was to determine whether the hypermethylation detection rate of RASSF1A, adenomatous polyposis coli (APC) and cytoglobin (CYGB) is influenced by the duration of sputum collection. Methods Prospective sputum samples were collected from 53 lung cancer patients and 47 chronic obstructive pulmonary disease patients as controls. Subjects collected spontaneous sputum at home during nine consecutive days in three canisters I, II and III (ie, days 1e3, days 4e6, days 7e9, respectively). Quantitative methylation-specific PCR was performed to assess gene promoter methylation status of RASSF1A, APC and CYGB. Results Analysis of each canister separately showed hypermethylation of RASSF1A, APC and/or CYGB in samples I, II and III, in 43%, 40% and 47% of cases, respectively. In control samples, these numbers were 4%, 2% and 4%, respectively. Cumulative analysis for days 1e6 and days 1e9 revealed an increase in sensitivity to 53% and 64%, and specificity of 94% and 91%, respectively. Conclusion Sputum collected over multiple successive days results in a gain in sensitivity for the detection of lung cancer, at the expense of a small loss in specificity. Condensed abstract Assessment of hypermethylation sensitivity of biomarkers in sputum collected over a prolonged period for the detection of lung cancer resulted in a promising gain in sensitivity, at the expense of a small loss in specificity.

Molecular Diagnostic Markers for Lung Cancer in Sputum and Plasma

Annals of the New York Academy of Sciences, 2006

Lung cancer is the leading cause of cancer deaths worldwide. This study was designed to select multiple DNA markers, which have high sensitivity and specificity to serve as biomarkers for diagnosis of lung cancer. We examined the promoter hypermethylation of three tumor suppressor genes by methylation-specific PCR (MSP), and the instability of eight microsatellite markers by loss of heterozygosity (LOH) and microsatellite instability (MSI) analyses in lung tumor tissues and matched sputum specimens from 79 lung cancer patients. On the basis of the results of sensitivity, specificity, and concordance from each marker analyzed, we selected seven biomarkers, which are LOH of D9S286, D9S942, GATA49D12, and D13S170, MSI of D9S942, and methylation of p16 INK4a and RAR␤, from the sputum analyses. These selected etiologically associated biomarkers can potentially be used as supplemental diagnostic biomarkers for early lung cancer detection.

Liquid Biopsy in Lung Cancer Screening: The Contribution of Metabolomics. Results of A Pilot Study

Cancers

Background: Lung cancer is the most common cause of cancer-related deaths worldwide. Early diagnosis is crucial to increase the curability chance of the patients. Low dose CT screening can reduce lung cancer mortality, but it is associated with several limitations. Metabolomics is a promising technique for cancer diagnosis due to its ability to provide chemical phenotyping data. The intent of our study was to explore metabolomic effects and profiles of lung cancer patients to determine if metabolic perturbations in the SSAT-1/polyamine pathway can distinguish between healthy participants and lung cancer patients as a diagnostic and treatment monitoring tool. Patients and Methods: Plasma samples were collected as part of the SSAT1 Amantadine Cancer Study. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to identify and quantify metabolite concentrations in lung cancer patient and control samples. Standard statistical analyses were performed to determine whether meta...

A High-Performing Plasma Metabolite Panel for Early-Stage Lung Cancer Detection

Cancers, 2020

The objective of this research is to use metabolomic techniques to discover and validate plasma metabolite biomarkers for the diagnosis of early-stage non-small cell lung cancer (NSCLC). The study included plasma samples from 156 patients with biopsy-confirmed NSCLC along with age and gender-matched plasma samples from 60 healthy controls. A fully quantitative targeted mass spectrometry (MS) analysis (targeting 138 metabolites) was performed on all samples. The sample set was split into a discovery set and validation set. Metabolite concentration data, clinical data, and smoking history were used to determine optimal sets of biomarkers and optimal regression models for identifying different stages of NSCLC using the discovery sets. The same biomarkers and regression models were used and assessed on the validation models. Univariate and multivariate statistical analysis identified β-hydroxybutyric acid, LysoPC 20:3, PC ae C40:6, citric acid, and fumaric acid as being significantly di...

Diagnosis of lung tumor types based on metabolomic profiles in lymph node aspirates

Cancer Treatment and Research Communications, 2017

Background: Treatment of lung cancer is evolving from the use of cytotoxic drugs to drugs that interrupt pathways specific to a malignancy. The field of metabolomics has promise with respect to identification of tumor-specific processes and therapeutic targets, but to date has yielded inconsistent data in patients with lung cancer. Lymph nodes are often aspirated in the process of evaluating lung cancer, as malignant cells in lymph nodes are used for diagnosis and staging. We hypothesized that fluids from lymph node aspirates contains tumor-specific metabolites and are a suitable source for defining the metabolomic phenotype of lung cancers. Patients and materials: Metabolic profiles were generated from nodal aspirates of ten patients with adenocarcinoma, ten with squamous cell carcinoma, and ten with non-malignant conditions using time-of-flight mass spectrometry. In addition, concentrations of selected metabolites participating in the kynurenine and glutathione pathways were measured in a second set of aspirates using tandem mass spectrometry. Results: A list of consensus features that separated these three groups was identified. Two of the consensus features were tentatively identified as kynurenine and as oxidized glutathione. It was shown that metabolite concentrations in these pathways are different for patients with and without malignancy. Conclusion: Together the data suggest that metabolomic analysis of lymph node aspirates can identify tumor-specific differences in cancer metabolism and reveal novel therapeutic targets. This proof-of-concept study demonstrates the validity to complement and refine diagnosis of lung cancer based on metabolic signature in lymph node aspirates.