Dataset Information

Lung cancer biomarkers in sputum samples using diaPASEF LC-MS proteomics

ABSTRACT: In this study, we aim to identify sputum proteins that can classify individuals with lung cancer, and to build a classification model with potential clinical utility based on the panel of proteins that can identify lung cancer patients and even different lung cancer subtypes.

INSTRUMENT(S): timsTOF Pro

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Sputum

DISEASE(S): Lung Cancer

SUBMITTER: Ignacio Ortea

LAB HEAD: Ignacio Ortea

PROVIDER: PXD032269 | Pride | 2022-10-14

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	2021011-Spectronautv15.5_directDIA.sne	Other
	20210602-03_2021011-84_649.d.zip	Other
	20210602-04_2021011-48_650.d.zip	Other
	20210602-05_2021011-65_651.d.zip	Other
	20210602-07_2021011-42_653.d.zip	Other

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Publications

diaPASEF Proteomics and Feature Selection for the Description of Sputum Proteome Profiles in a Cohort of Different Subtypes of Lung Cancer Patients and Controls.

Arenas-De Larriva María Del Sol MDS Fernández-Vega Alejandro A Jurado-Gamez Bernabe B Ortea Ignacio I

International journal of molecular sciences 20220805 15

The high mortality, the presence of an initial asymptomatic stage and the fact that diagnosis in early stages reduces mortality justify the implementation of screening programs in the populations at risk of lung cancer. It is imperative to develop less aggressive methods that can complement existing diagnosis technologies. In this study, we aimed to identify lung cancer protein biomarkers and pathways affected in sputum samples, using the recently developed diaPASEF mass spectrometry (MS) acquis ...[more]

PMID: 35955870

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