BACKGROUND: Pulmonary tuberculosis (TB) and lung cancer (LC) have similar clinical symptoms and atypical imaging findings which are easily misdiagnosed. There is an urgent need for a noninvasive, rapid and accurate biomarker for distinguishing LC from TB.
METHODS:
Lung cancer are malignant tumors with high incidence and mortality rates, and a 5-year survival rate that depends on the stage at the time of diagnosis. Screening methods for lung cancer are becoming increasingly diverse, but existing approaches lack sensitivity or specificity for early lesions, ...
Oral squamous cell carcinoma (OSCC) is frequently the outcome of oral submucous fibrosis (OSMF), a common possibly premalignant disease. In our study, a cohort of 50 patients with OSCC and OSMF, along with 50 healthy controls, was analyzed to identify significant metabolic differences between the...
BACKGROUND: Novel biomarkers are urgently needed to distinguish between benign and malignant thyroid nodules and detect thyroid cancer in the early stage. The associations between serum IgG N-glycosylation and thyroid cancer risk have been revealed. We aimed to explore the potent...
Metabolomic profiling was applied to 1,259 sera collected within five years of a lung cancer diagnosis and 8,470 non-case sera from ever-smoker participants in the Prostate Lung Colorectal and Ovarian (PLCO) Study to identify metabolic signatures for the earlier detection of lung cancer. We devel...
Lung cancer (LC) is still one of the most deadly cancers in the world, but there is a lack of non-invasive biomarkers to assist diagnosis and guide treatment. Herein, untargeted serum metabolomics of 57 LC patients and 59 HC people was performed based on gas chromatography-mass spectrography (GC-...
Plasma samples were analyzed using UPLC-MS/MS untargeted metabolomics. The dataset comprised 144 participants. Partial least squares discriminant analysis (PLS-DA) three-dimensional scores plot distinguishing GC patients from non-GC controls. Metabolic profiling and differential comparison identi...