Identification of serum biomarkers for lung cancer using magnetic bead-based SELDI-TOF-MS

Song, Qing; Hu, Weiguo; Wang, Peng; Yao, Yi; Zeng, Hao

doi:10.1038/aps.2011.137

Cited by 21 publications

(15 citation statements)

References 19 publications

(16 reference statements)

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“…Recent biomarker discovery programs aimed at identifying novel TB biomarkers with demonstrable utility have been successful [17]–[19]. Among the analytical tools for TB biomarker discovery, transcriptional microarray [17], [20], [21], 2D gel analysis [22], and mass spectroscopy [18], [23] have been used but none, to our knowledge, has undertaken such a large-scale analysis for the targeted detection of protein levels in the serum of patients with TB disease.…”

Section: Discussionmentioning

confidence: 99%

Elucidating Novel Serum Biomarkers Associated with Pulmonary Tuberculosis Treatment

et al. 2013

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In an unbiased approach to biomarker discovery, we applied a highly multiplexed proteomic technology (SOMAscan, SomaLogic, Inc, Boulder, CO) to understand changes in proteins from paired serum samples at enrollment and after 8 weeks of TB treatment from 39 patients with pulmonary TB from Kampala, Uganda enrolled in the Center for Disease Control and Prevention’s Tuberculosis Trials Consortium (TBTC) Study 29. This work represents the first large-scale proteomic analysis employing modified DNA aptamers in a study of active tuberculosis (TB). We identified multiple proteins that exhibit significant expression differences during the intensive phase of TB therapy. There was enrichment for proteins in conserved networks of biological processes and function including antimicrobial defense, tissue healing and remodeling, acute phase response, pattern recognition, protease/anti-proteases, complement and coagulation cascade, apoptosis, immunity and inflammation pathways. Members of cytokine pathways such as interferon-gamma, while present, were not as highly represented as might have been predicted. The top proteins that changed between baseline and 8 weeks of therapy were TSP4, TIMP-2, SEPR, MRC-2, Antithrombin III, SAA, CRP, NPS-PLA2, LEAP-1, and LBP. The novel proteins elucidated in this work may provide new insights for understanding TB disease, its treatment and subsequent healing processes that occur in response to effective therapy.

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Section: Discussionmentioning

confidence: 99%

Elucidating Novel Serum Biomarkers Associated with Pulmonary Tuberculosis Treatment

et al. 2013

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“…Although both are weakly cationic, as a new protein separation technology, the WCX magnetic beads provide a great flexibility for fractionation of complex biological samples. It has been successfully used in the separation and purification of various proteins in the body fluids such as serum, plasma and amniotic fluid [20][21][22]. During the pilot study, we compared the SELDI spectra of the serum in TB patients by WCX magnetic beads and CM10 protein chips.…”

Section: Discussionmentioning

confidence: 99%

The discovery and identification of a candidate proteomic biomarker of active tuberculosis

et al. 2013

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BackgroundNoninvasive and convenient biomarkers for early diagnosis of tuberculosis (TB) remain an urgent need. The aim of this study was to discover and identify potential biomarkers specific for TB.MethodsThe surface-enhanced laser desorption ionization time of flight mass spectrometry (SELDI-TOF MS) combined with weak cation exchange (WCX) magnetic beads was used to screen serum samples from 180 cases of TB and 211 control subjects. A classification model was established by Biomarker Pattern Software (BPS). Candidate protein biomarkers were purified by reverse phase-high performance liquid chromatography (RP-HPLC), identified by MALDI-TOF MS, LC-MS/MS and validated using enzyme-linked immunosorbent assay (ELISA).ResultsA total of 35 discriminating m/z peaks were detected that were related to TB (P < 0.01). The model of biomarkers based on the four biomarkers (2554.6, 4824.4, 5325.7, and 8606.8 Da) was established which could distinguish TB from controls with the sensitivity of 83.3% and the specificity of 84.2%. The candidate biomarker with m/z of 2554.6 Da was found to be up-regulated in TB patients, and was identified as a fragment of fibrinogen, alpha polypeptide isoform alpha-E preproprotein. Analysis in 22 patients with TB showed increased fibrinogen degradation product (FDP) (5,005 ± 1,297 vs. 4,010 ± 1,181 ng/mL, P < 0.05) and in 142 patients showed elevated plasma fibrinogen levels.ConclusionsA diagnostic model for TB with high sensitivity and specificity was developed using mass spectrometry combined with magnetic beads. Fibrinogen was identified as a potential biomarker for TB and showed diagnostic values in clinical application.

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“…Nevertheless, a number of peaks that we identified, for example, the peaks M/Z 1205and 4279, were not recognized previously. 32,33 This is conceivably due to the different experimental procedures used in the studies. Moreover, the varying approaches in data analysis may also contribute to the difference.…”

Section: Discussionmentioning

confidence: 99%

Serum protein profiles of patients with lung cancer of different histological types

Yang¹,

Tian

Ren

et al. 2015

Asia-Pac J Clncl Oncology

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Aims: To compare serum protein expression profiles between lung cancer patients and healthy individuals, and to examine whether there are differences in serum protein expression profiles among patients with lung cancers of different histological types and whether the characteristic expression of serum proteins may assist in differential diagnosis of various subtypes of lung cancers. Methods: Blood samples were collected from 123 lung cancer patients before commencement of treatment who attended Shanxi Cancer Hospital, China, between 2008 and 2013. Blood samples from 60 healthy individuals were also collected in the same period. Serum protein expression profiles were analyzed using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry. The differences in the serum protein spectrums of lung cancer patients with different histological subtypes were analyzed by one-way Analysis of Variance and receiver operating characteristic curves. Results: A cluster of 48 protein mass-to-change ratio (M/Z) peaks was differentially expressed between sera of lung cancer patients and healthy individuals. The M/Z 1205, 4673, 1429 and 4279 peaks were differentially expressed among patients with lung squamous cell carcinomas, adenocarcinomas and small-cell lung carcinomas. Conclusion: These results reinforce the notion that profiling of serum proteins may be of diagnostic value in lung cancer, and suggest that the differences in serum protein profiles may be useful in differential diagnosis of lung cancers of varying histological subtypes.

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Identification of serum biomarkers for lung cancer using magnetic bead-based SELDI-TOF-MS

Cited by 21 publications

References 19 publications

Elucidating Novel Serum Biomarkers Associated with Pulmonary Tuberculosis Treatment

Elucidating Novel Serum Biomarkers Associated with Pulmonary Tuberculosis Treatment

The discovery and identification of a candidate proteomic biomarker of active tuberculosis

Serum protein profiles of patients with lung cancer of different histological types

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