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Identification of a Biomarker Panel for Early Detection of Lung Cancer Patients
- Source :
- Geary, B, Walker, M J, Snow, J T, Lee, D, Pernemalm, M, Maleki-Dizaji, S, Azadbakht, N, Apostolidou, S, Barnes, J, Krysiak, P, Shah, R, Booton, R, Dive, C, Crosbie, P A & Whetton, A D 2019, ' Identification of a Biomarker Panel for Early Detection of Lung Cancer Patients ', Journal of Proteome Research, vol. 18, no. 9, pp. 3369-3382 . https://doi.org/10.1021/acs.jproteome.9b00287
- Publication Year :
- 2019
-
Abstract
- Lung cancer is the most common cause of cancer-related mortality worldwide, characterized by late clinical presentation (49-53% of patients are diagnosed at stage IV) and consequently poor outcomes. One challenge in identifying biomarkers of early disease is the collection of samples from patients prior to symptomatic presentation. We used blood collected during surgical resection of lung tumors in an iTRAQ isobaric tagging experiment to identify proteins effluxing from tumors into pulmonary veins. Forty proteins were identified as having an increased abundance in the vein draining from the tumor compared to "healthy" pulmonary veins. These protein markers were then assessed in a second cohort that utilized the mass spectrometry (MS) technique: Sequential window acquisition of all theoretical fragment ion spectra (SWATH) MS. SWATH-MS was used to measure proteins in serum samples taken from 25 patients
- Subjects :
- 0301 basic medicine
Oncology
Male
Proteomics
medicine.medical_specialty
Lung Neoplasms
Proteome
Early detection
Biochemistry
Machine Learning
03 medical and health sciences
Tandem Mass Spectrometry
Internal medicine
medicine
Biomarkers, Tumor
Humans
Lung cancer
Vein
Early Detection of Cancer
Aged
Neoplasm Staging
Lung
Manchester Cancer Research Centre
030102 biochemistry & molecular biology
business.industry
ResearchInstitutes_Networks_Beacons/mcrc
General Chemistry
Middle Aged
medicine.disease
030104 developmental biology
medicine.anatomical_structure
Cohort
Biomarker (medicine)
Female
business
Subjects
Details
- ISSN :
- 15353907
- Volume :
- 18
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Journal of proteome research
- Accession number :
- edsair.doi.dedup.....1b2ac7032a497051118733f9f8c3923f