PXD006436 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Exhaled breath condensate biomarkers for the early diagnosis of lung cancer using proteomics |
Description | The present study explored whether the proteomic analysis of exhaled breath condensate (EBC) may provide potential biomarkers for their use in non-invasive screening strategies for the early detection of lung cancer (LC). EBC was collected from 192 individuals (49 control volunteers, 49 risk factor-smoking volunteers, 46 chronic obstructive pulmonary disease patients and 48 LC patients). Using LC-MS/MS a total of 348 different proteins with a different pattern among the four groups were identified in EBC samples. Despite the great variability observed among individuals, significantly more proteins were identified in the EBC from LC patients compared to other groups. Furthermore, the average number of proteins identified per sample was significantly higher in LC patients and Receiver Operating Characteristic curve analysis showed an area under the curve of 0.8, indicating diagnostic value. Proteins frequently detected in EBC, such as dermcidin and hornerin, along with others much less frequently detected, such as hemoglobin and histone isoforms, were identified. Cytokeratins (KRTs) were the most abundant proteins in EBC samples and levels of KRT6A, KRT6B and KRT6C isoforms were significantly higher in samples from LC patients. Moreover, the amount of most KRTs in EBC samples from LC patients showed a significant positive correlation with tumor size. Finally, we used a random forest algorithm to generate a robust model using EBC protein data for the diagnosis of patients with LC. Thus, this study demonstrates that the proteomic analysis of EBC samples is an appropriated approach to develop biomarkers for the diagnosis of lung cancer. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-22 |
AnnouncementXML | Submission_2024-10-22_04:37:38.934.xml |
DigitalObjectIdentifier | https://dx.doi.org/10.6019/PXD006436 |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Supported dataset by repository |
PrimarySubmitter | Luz Valero |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | Deamidated; Oxidation; Carbamidomethyl |
Instrument | TripleTOF 5600 |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2017-05-03 02:46:20 | ID requested | |
1 | 2019-08-16 01:23:27 | announced | |
⏵ 2 | 2024-10-22 04:37:39 | announced | 2024-10-22: Updated project metadata. |
Publication List
L, ó, pez-S, á, nchez LM, Jurado-G, á, mez B, Feu-Collado N, Valverde A, Ca, ñ, as A, Fern, á, ndez-Rueda JL, Aranda E, Rodr, í, guez-Ariza A, Exhaled breath condensate biomarkers for the early diagnosis of lung cancer using proteomics. Am J Physiol Lung Cell Mol Physiol, 313(4):L664-L676(2017) [pubmed] |
10.6019/PXD006436; |
10.1152/ajplung.00119.2017; |
Keyword List
curator keyword: Biomedical |
submitter keyword: proteomics,exhaled breath condensate, biomarkers, lung cancer |
Contact List
Antonio Rodríguez-Ariza |
contact affiliation | Instituto Maimónides de Investigación Biomédica de Córdoba, Córdoba, Spain. Centro de Investigación Biomédica en Red en Cáncer (CIBER-ONC), Madrid, Spain Unidad de Gestión Clínica de Oncología Médica, Hospital Universitario Reina Sofía, Spain. |
contact email | antonio.rodriguez.exts@juntadeandalucia.es |
lab head | |
Luz Valero |
contact affiliation | Universitat de Valencia |
contact email | mluz.valero@uv.es |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD006436
- Label: PRIDE project
- Name: Exhaled breath condensate biomarkers for the early diagnosis of lung cancer using proteomics