The Utility of Differential Scanning Calorimetry Curves of Blood Plasma for Diagnosis, Subtype Differentiation and Predicted Survival in Lung Cancer

Early detection of lung cancer (LC) significantly increases the likelihood of successful treatment and improves LC survival rates. Currently, screening (mainly low-dose CT scans) is recommended for individuals at high risk. However, the recent increase in the number of LC cases unrelated to the well...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Gabriela Schneider, Alagammai Kaliappan, Taylor Q. Nguyen, Robert Buscaglia, Guy N. Brock, Melissa Barousse Hall, Crissie DeSpirito, Daniel W. Wilkey, Michael L. Merchant, Jon B. Klein, Tanya A. Wiese, Hiram L. Rivas-Perez, Goetz H. Kloecker, Nichola C. Garbett
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	differential scanning calorimetry (DSC) DSC curve diagnosis overall survival progression-free survival lung cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/3403d6144ee94a7980a9002e927f0b5d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3403d6144ee94a7980a9002e927f0b5d
record_format	dspace
spelling	oai:doaj.org-article:3403d6144ee94a7980a9002e927f0b5d2021-11-11T15:28:22ZThe Utility of Differential Scanning Calorimetry Curves of Blood Plasma for Diagnosis, Subtype Differentiation and Predicted Survival in Lung Cancer10.3390/cancers132153262072-6694https://doaj.org/article/3403d6144ee94a7980a9002e927f0b5d2021-10-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/21/5326https://doaj.org/toc/2072-6694Early detection of lung cancer (LC) significantly increases the likelihood of successful treatment and improves LC survival rates. Currently, screening (mainly low-dose CT scans) is recommended for individuals at high risk. However, the recent increase in the number of LC cases unrelated to the well-known risk factors, and the high false-positive rate of low-dose CT, indicate a need to develop new, non-invasive methods for LC detection. Therefore, we evaluated the use of differential scanning calorimetry (DSC) for LC patients’ diagnosis and predicted survival. Additionally, by applying mass spectrometry, we investigated whether changes in O- and N-glycosylation of plasma proteins could be an underlying mechanism responsible for observed differences in DSC curves of LC and control subjects. Our results indicate selected DSC curve features could be useful for differentiation of LC patients from controls with some capable of distinction between subtypes and stages of LC. DSC curve features also correlate with LC patients’ overall/progression free survival. Moreover, the development of classification models combining patients’ DSC curves with selected plasma protein glycosylation levels that changed in the presence of LC could improve the sensitivity and specificity of the detection of LC. With further optimization and development of the classification method, DSC could provide an accurate, non-invasive, radiation-free strategy for LC screening and diagnosis.Gabriela SchneiderAlagammai KaliappanTaylor Q. NguyenRobert BuscagliaGuy N. BrockMelissa Barousse HallCrissie DeSpiritoDaniel W. WilkeyMichael L. MerchantJon B. KleinTanya A. WieseHiram L. Rivas-PerezGoetz H. KloeckerNichola C. GarbettMDPI AGarticledifferential scanning calorimetry (DSC)DSC curvediagnosisoverall survivalprogression-free survivallung cancerNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5326, p 5326 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	differential scanning calorimetry (DSC) DSC curve diagnosis overall survival progression-free survival lung cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	differential scanning calorimetry (DSC) DSC curve diagnosis overall survival progression-free survival lung cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Gabriela Schneider Alagammai Kaliappan Taylor Q. Nguyen Robert Buscaglia Guy N. Brock Melissa Barousse Hall Crissie DeSpirito Daniel W. Wilkey Michael L. Merchant Jon B. Klein Tanya A. Wiese Hiram L. Rivas-Perez Goetz H. Kloecker Nichola C. Garbett The Utility of Differential Scanning Calorimetry Curves of Blood Plasma for Diagnosis, Subtype Differentiation and Predicted Survival in Lung Cancer
description	Early detection of lung cancer (LC) significantly increases the likelihood of successful treatment and improves LC survival rates. Currently, screening (mainly low-dose CT scans) is recommended for individuals at high risk. However, the recent increase in the number of LC cases unrelated to the well-known risk factors, and the high false-positive rate of low-dose CT, indicate a need to develop new, non-invasive methods for LC detection. Therefore, we evaluated the use of differential scanning calorimetry (DSC) for LC patients’ diagnosis and predicted survival. Additionally, by applying mass spectrometry, we investigated whether changes in O- and N-glycosylation of plasma proteins could be an underlying mechanism responsible for observed differences in DSC curves of LC and control subjects. Our results indicate selected DSC curve features could be useful for differentiation of LC patients from controls with some capable of distinction between subtypes and stages of LC. DSC curve features also correlate with LC patients’ overall/progression free survival. Moreover, the development of classification models combining patients’ DSC curves with selected plasma protein glycosylation levels that changed in the presence of LC could improve the sensitivity and specificity of the detection of LC. With further optimization and development of the classification method, DSC could provide an accurate, non-invasive, radiation-free strategy for LC screening and diagnosis.
format	article
author	Gabriela Schneider Alagammai Kaliappan Taylor Q. Nguyen Robert Buscaglia Guy N. Brock Melissa Barousse Hall Crissie DeSpirito Daniel W. Wilkey Michael L. Merchant Jon B. Klein Tanya A. Wiese Hiram L. Rivas-Perez Goetz H. Kloecker Nichola C. Garbett
author_facet	Gabriela Schneider Alagammai Kaliappan Taylor Q. Nguyen Robert Buscaglia Guy N. Brock Melissa Barousse Hall Crissie DeSpirito Daniel W. Wilkey Michael L. Merchant Jon B. Klein Tanya A. Wiese Hiram L. Rivas-Perez Goetz H. Kloecker Nichola C. Garbett
author_sort	Gabriela Schneider
title	The Utility of Differential Scanning Calorimetry Curves of Blood Plasma for Diagnosis, Subtype Differentiation and Predicted Survival in Lung Cancer
title_short	The Utility of Differential Scanning Calorimetry Curves of Blood Plasma for Diagnosis, Subtype Differentiation and Predicted Survival in Lung Cancer
title_full	The Utility of Differential Scanning Calorimetry Curves of Blood Plasma for Diagnosis, Subtype Differentiation and Predicted Survival in Lung Cancer
title_fullStr	The Utility of Differential Scanning Calorimetry Curves of Blood Plasma for Diagnosis, Subtype Differentiation and Predicted Survival in Lung Cancer
title_full_unstemmed	The Utility of Differential Scanning Calorimetry Curves of Blood Plasma for Diagnosis, Subtype Differentiation and Predicted Survival in Lung Cancer
title_sort	utility of differential scanning calorimetry curves of blood plasma for diagnosis, subtype differentiation and predicted survival in lung cancer
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3403d6144ee94a7980a9002e927f0b5d
work_keys_str_mv	AT gabrielaschneider theutilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT alagammaikaliappan theutilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT taylorqnguyen theutilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT robertbuscaglia theutilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT guynbrock theutilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT melissabaroussehall theutilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT crissiedespirito theutilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT danielwwilkey theutilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT michaellmerchant theutilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT jonbklein theutilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT tanyaawiese theutilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT hiramlrivasperez theutilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT goetzhkloecker theutilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT nicholacgarbett theutilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT gabrielaschneider utilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT alagammaikaliappan utilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT taylorqnguyen utilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT robertbuscaglia utilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT guynbrock utilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT melissabaroussehall utilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT crissiedespirito utilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT danielwwilkey utilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT michaellmerchant utilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT jonbklein utilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT tanyaawiese utilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT hiramlrivasperez utilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT goetzhkloecker utilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer AT nicholacgarbett utilityofdifferentialscanningcalorimetrycurvesofbloodplasmafordiagnosissubtypedifferentiationandpredictedsurvivalinlungcancer
_version_	1718435231509250048

The Utility of Differential Scanning Calorimetry Curves of Blood Plasma for Diagnosis, Subtype Differentiation and Predicted Survival in Lung Cancer

Ejemplares similares