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The feasibility of granzyme B levels using an amperometric immunosensor for lung cancer detection

BACKGROUND: Low-dose computed tomography (LDCT) has improved the early detection of lung cancer. However, LDCT scans present several disadvantages, including the abundance of false-positive results, which lead to a high socioeconomic cost, psychological burden, and repeated exposure to radiation. Th...

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Autores principales: Chung, Jae Heun, Yoon, Seong Hoon, Jeon, Doosoo, Choi, Ho Jung, Moon, Kisung, Kwon, Sunyoung, Saputra, Heru Agung, Kim, Yun Seong, Shim, Yoon-Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263765/
https://www.ncbi.nlm.nih.gov/pubmed/35813317
http://dx.doi.org/10.21037/atm-22-470
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author Chung, Jae Heun
Yoon, Seong Hoon
Jeon, Doosoo
Choi, Ho Jung
Moon, Kisung
Kwon, Sunyoung
Saputra, Heru Agung
Kim, Yun Seong
Shim, Yoon-Bo
author_facet Chung, Jae Heun
Yoon, Seong Hoon
Jeon, Doosoo
Choi, Ho Jung
Moon, Kisung
Kwon, Sunyoung
Saputra, Heru Agung
Kim, Yun Seong
Shim, Yoon-Bo
author_sort Chung, Jae Heun
collection PubMed
description BACKGROUND: Low-dose computed tomography (LDCT) has improved the early detection of lung cancer. However, LDCT scans present several disadvantages, including the abundance of false-positive results, which lead to a high socioeconomic cost, psychological burden, and repeated exposure to radiation. Therefore, the identification of complementary biomarkers is needed to select high-risk individuals for LDCT. Here, we showed that granzyme B testing with the novel immunosensor has diagnostic value for identifying patients with lung cancer. METHODS: We enrolled 44 patients with lung cancer and 51 health controls at Pusan National University Yangsan Hospital in Korea between March 2018 and September 2019. The immunosensor analyzed serum granzyme B levels, and their association with lung cancer detection was evaluated with machine learning models. RESULTS: Serum granzyme B levels were assessed in samples from patients with lung cancer and healthy individuals. Granzyme B testing showed 100% sensitivity, 80% specificity, and an area under the curve of 0.938 for lung cancer detection. After combining granzyme B testing with clinical predictors such as age, smoking status, or pack-years, results from the five-fold cross-validation with random forest model improved diagnostic accuracy of 92.1%, with a sensitivity, specificity, and area under the curve of 92.0%, 92.1%, and 0.977, respectively. CONCLUSIONS: This feasibility study suggested that granzyme B may be utilized to detect lung cancer.
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spelling pubmed-92637652022-07-09 The feasibility of granzyme B levels using an amperometric immunosensor for lung cancer detection Chung, Jae Heun Yoon, Seong Hoon Jeon, Doosoo Choi, Ho Jung Moon, Kisung Kwon, Sunyoung Saputra, Heru Agung Kim, Yun Seong Shim, Yoon-Bo Ann Transl Med Original Article BACKGROUND: Low-dose computed tomography (LDCT) has improved the early detection of lung cancer. However, LDCT scans present several disadvantages, including the abundance of false-positive results, which lead to a high socioeconomic cost, psychological burden, and repeated exposure to radiation. Therefore, the identification of complementary biomarkers is needed to select high-risk individuals for LDCT. Here, we showed that granzyme B testing with the novel immunosensor has diagnostic value for identifying patients with lung cancer. METHODS: We enrolled 44 patients with lung cancer and 51 health controls at Pusan National University Yangsan Hospital in Korea between March 2018 and September 2019. The immunosensor analyzed serum granzyme B levels, and their association with lung cancer detection was evaluated with machine learning models. RESULTS: Serum granzyme B levels were assessed in samples from patients with lung cancer and healthy individuals. Granzyme B testing showed 100% sensitivity, 80% specificity, and an area under the curve of 0.938 for lung cancer detection. After combining granzyme B testing with clinical predictors such as age, smoking status, or pack-years, results from the five-fold cross-validation with random forest model improved diagnostic accuracy of 92.1%, with a sensitivity, specificity, and area under the curve of 92.0%, 92.1%, and 0.977, respectively. CONCLUSIONS: This feasibility study suggested that granzyme B may be utilized to detect lung cancer. AME Publishing Company 2022-06 /pmc/articles/PMC9263765/ /pubmed/35813317 http://dx.doi.org/10.21037/atm-22-470 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Chung, Jae Heun
Yoon, Seong Hoon
Jeon, Doosoo
Choi, Ho Jung
Moon, Kisung
Kwon, Sunyoung
Saputra, Heru Agung
Kim, Yun Seong
Shim, Yoon-Bo
The feasibility of granzyme B levels using an amperometric immunosensor for lung cancer detection
title The feasibility of granzyme B levels using an amperometric immunosensor for lung cancer detection
title_full The feasibility of granzyme B levels using an amperometric immunosensor for lung cancer detection
title_fullStr The feasibility of granzyme B levels using an amperometric immunosensor for lung cancer detection
title_full_unstemmed The feasibility of granzyme B levels using an amperometric immunosensor for lung cancer detection
title_short The feasibility of granzyme B levels using an amperometric immunosensor for lung cancer detection
title_sort feasibility of granzyme b levels using an amperometric immunosensor for lung cancer detection
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263765/
https://www.ncbi.nlm.nih.gov/pubmed/35813317
http://dx.doi.org/10.21037/atm-22-470
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