ArticleJournal of clinical laboratory analysis2022
MALDI-TOF-MS analysis in low molecular weight serum peptidome biomarkers for NSCLC.
Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Clinical peptidomics for respiratory diseases: matrices, workflows, and translation towards treatable traits, with a focus on COPD.Clinical proteomics · 2026Review
- Rapid peptide analysis in dried bloodspots to identify novel markers for newborn screening for congenital hypothyroidism.Scientific reports · 2026Article
- Identification of serum peptide biomarkers for cholangiocarcinoma diagnosis and staging via MALDI-TOF MS and LC-MS/MS.British journal of cancer · 2026Article
- In search of new stratification strategies: tissue proteomic profiling of papillary thyroid microcarcinoma in patients with localized disease and lateral neck metastases.Journal of cancer research and clinical oncology · 2023Article
- Serum lncRNA THRIL predicts benign and malignant pulmonary nodules and promotes the progression of pulmonary malignancies.BMC cancer · 2023Article
- MALDI-TOF-MS analysis in low molecular weight serum peptidome biomarkers for NSCLC.Journal of clinical laboratory analysis · 2022Article
- Combining serum peptide signatures with International Federation of Gynecology and Obstetrics (FIGO) risk score to predict the outcomes of patients with gestational trophoblastic neoplasia (GTN) after first-line chemotherapy.Frontiers in oncology · 2022Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
objectsLung cancer is one of the leading causes of death from cancer in the world. Screening new serum biomarkers is important for the early detection of lung cancer. The purpose of this study was to investigate the serum peptide model between non-small cell lung cancer (NSCLC) patients and healthy controls, as well as between paired pre- and postoperative NSCLC patients, and to find the low molecular weight (LMW) potential tumor markers for NSCLC.
methods56 serum samples from NSCLC patients, 56 controls, and 20 matched pre- and postoperative patients were analyzed using magnetic-bead (MB)-based purification technique combined with MALDI-TOF-MS. To distinguish NSCLC from cancer-free controls, three models were established. Finally, comparing the three groups of serum protein fingerprints, nano-liquid chromatography-electrospray ionization tandem mass spectrometry was used to further identify the differential peptides.
resultsAmong the three models constructed, the GA model had the best diagnostic efficacy. Five differential peaks were screened by combining the case group, healthy controls, and postoperative group analysis, which were up-regulated in the case group and showed a tendency to return to healthy control values after surgery. The protein matching the mass spectrometry peak m/z 2953.73 was identified as fibrinogen α chain.
conclusionThis study shows that the application of MALDI-TOF-MS is a promising approach for the identification of potential serum biomarkers for NSCLC, which is potentially valuable for establishing a new diagnostic method for lung cancer. In addition, we found that fibrinogen α chain may be an auxiliary diagnostic indicator for NSCLC.
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