Serum TUBB is a potential biomarker for the diagnosis of non-small cell lung cancer
Aim: To identify serum biomarkers for non-small cell lung cancer (NSCLC) and assess their potential for early diagnosis. Experimental: MB-WCX coupled with MALDI-TOF MS was utilized to profile serum samples from 64 NSCLC patients and 64 healthy subjects, followed by ClinProTools software and Liquid chromatography-electrospray ionization-tandem mass spectrometry(LC-ESI-MS/MS) for recognition and characterization of differentially expressed peaks. Enzyme-linked immunosorbent assay (ELISA) confirmed protein concentrations, while The Cancer Genome Atlas (TCGA) database was leveraged for validation of candidate biomarkers in a larger cohort. Results: 39 distinct proteomic m/z peaks were identified for NSCLC subjects, with five of these peaks significantly distinguishing NSCLC from healthy controls (HC). A model developed using the GA (Genetic Algorithm) with ClinProt data demonstrated a sensitivity of 84.72% and a specificity of 88.68% in identifying NSCLC patients. Peaks 2 through 5 were observed to be downregulated in the NSCLC group. Notably, a peptide peak, Peak 1, with an m/z value of 1,866, identified as a fragment of TUBB, was upregulated in NSCLC. ELISA validated the increased serum TUBB levels in NSCLC patients (P < 0.001). Furthermore, analysis of TUBB expression in lung cancer tissues through TCGA data revealed elevated TUBB expression in lung cancer tissues. Conclusions: Serum TUBB is identified as a potential diagnostic biomarker for NSCLC, which may benefit early diagnosis and enhance the survival rate of NSCLC patients.
Authors
- Hong Ren (ORCID: https://orcid.org/0000-0002-4557-0918)
- Dingli Song (ORCID: https://orcid.org/0000-0002-9968-2819)
- Guangjian Zhang (ORCID: https://orcid.org/0000-0003-0888-5723)
- Ning Du (ORCID: https://orcid.org/0000-0001-5906-9131)
- Xin Liu (ORCID: https://orcid.org/0000-0002-5229-4376)
- Yunfeng Zhang (ORCID: https://orcid.org/0000-0001-6449-9849)
- Dapeng Liu (ORCID: https://orcid.org/0000-0001-9202-3303)
- Xin Sun
Institutions
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Journal of Cancer Metastasis and Treatment
- Published
- 2025-03-24
- DOI
- https://doi.org/10.20517/2394-4722.2024.127
- Citations
- 1
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.52