ELISA-based detection of Open Reading Frame protein 1 in patients at risk of developing lung cancer.


Journal

Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422

Informations de publication

Date de publication:
Aug 2020
Historique:
received: 21 02 2020
revised: 24 03 2020
accepted: 06 04 2020
pubmed: 11 4 2020
medline: 14 1 2021
entrez: 11 4 2020
Statut: ppublish

Résumé

Early detection of lung cancer significantly improves survival outcomes. Thus, lung cancer screening for high-risk individuals using low-dose CT scan (LDCT) is recommended. LDCT has several limitations, and often requires invasive follow up. Previously, we have developed an ELISA for measurement of Open Reading Frame 1 protein (ORF1p) in serum. We assessed whether ORF1p can be used as a risk assessment biomarker for patients at high risk for developing lung cancer. Patients with risk factors for lung cancer were enrolled in our study with consent under IRB approval. A total of 122 patients were included. The lung cancer cohort consisted of 38 patients with varying stages of cancer undergoing treatment. ORF1p quantification was performed using our ELISA assay on serum samples. ORF1p was significantly increased in the serum of patients with identified lung nodules compared to those without nodules (P = 0.0007). ORF1p was also significantly increased in patients who were recommended for follow up (P = 0.0004). When comparing the at-risk cohort to patients with lung cancer, there was not a significant difference in ORF1p levels. ORF1p can be used to identify patients at high risk of developing lung cancer and may provide an effective, non-invasive risk assessment marker to complement LDCT screening.

Sections du résumé

BACKGROUND BACKGROUND
Early detection of lung cancer significantly improves survival outcomes. Thus, lung cancer screening for high-risk individuals using low-dose CT scan (LDCT) is recommended. LDCT has several limitations, and often requires invasive follow up. Previously, we have developed an ELISA for measurement of Open Reading Frame 1 protein (ORF1p) in serum. We assessed whether ORF1p can be used as a risk assessment biomarker for patients at high risk for developing lung cancer.
PATIENTS METHODS
Patients with risk factors for lung cancer were enrolled in our study with consent under IRB approval. A total of 122 patients were included. The lung cancer cohort consisted of 38 patients with varying stages of cancer undergoing treatment.
METHODS METHODS
ORF1p quantification was performed using our ELISA assay on serum samples.
RESULTS RESULTS
ORF1p was significantly increased in the serum of patients with identified lung nodules compared to those without nodules (P = 0.0007). ORF1p was also significantly increased in patients who were recommended for follow up (P = 0.0004). When comparing the at-risk cohort to patients with lung cancer, there was not a significant difference in ORF1p levels.
CONCLUSION CONCLUSIONS
ORF1p can be used to identify patients at high risk of developing lung cancer and may provide an effective, non-invasive risk assessment marker to complement LDCT screening.

Identifiants

pubmed: 32275987
pii: S0009-8981(20)30151-0
doi: 10.1016/j.cca.2020.04.005
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-6

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Cierra N Sharp (CN)

Department of Pathology and Laboratory Medicine, University of Louisville, 511 South Floyd Street, Louisville, KY 40202, United States.

Erik A Korte (EA)

Department of Pathology and Laboratory Medicine, University of Louisville, 511 South Floyd Street, Louisville, KY 40202, United States.

Keivan Hosseinejad (K)

Department of Pathology and Laboratory Medicine, University of Louisville, 511 South Floyd Street, Louisville, KY 40202, United States.

Jennifer Pitman (J)

Department of Pathology and Laboratory Medicine, University of Louisville, 511 South Floyd Street, Louisville, KY 40202, United States.

Afsaneh Lavasanifar (A)

Department of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, AB T6G 2E1, Canada.

Daniel J Eichenberger (DJ)

Baptist Health Floyd, 1850 State Street, New Albany, IN 47150, United States.

Sandra Sephton (S)

Department of Psychological and Brain Sciences, University of Louisville, 322A Life Sciences Building, Louisville, KY 40292, United States.

Elizabeth Cash (E)

Department of Otolaryngology-Head and Neck Surgery and Communicative Disorders, University of Louisville School of Medicine, 401 E Chestnut St # 170, Louisville, KY 40202, United States.

Saeed A Jortani (SA)

Department of Pathology and Laboratory Medicine, University of Louisville, 511 South Floyd Street, Louisville, KY 40202, United States. Electronic address: saeed.jortani@louisville.edu.

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Classifications MeSH