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Laboratory blood test profiling reveals distinct biochemical and hemocyte features of KRAS mutated non-small cell lung cancer

BACKGROUND: The testing for capability of some routine blood test parameters to reflect the biology of non-small cell lung carcinoma with different driver mutations is of great interest and practice significance. We aim to screen these variables and, if allowed, develop a novel predictive model base...

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Autores principales: Ou, Limin, Cai, Xiuyu, Zeng, Wenchuang, Huang, Liyan, Deng, Qiuhua, Tang, Hailing, Chen, Zhuxing, Zhou, Huan, Lin, Yongping, Liu, Liping, Liang, Wenhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992621/
https://www.ncbi.nlm.nih.gov/pubmed/36910115
http://dx.doi.org/10.21037/jtd-22-829
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author Ou, Limin
Cai, Xiuyu
Zeng, Wenchuang
Huang, Liyan
Deng, Qiuhua
Tang, Hailing
Chen, Zhuxing
Zhou, Huan
Lin, Yongping
Liu, Liping
Liang, Wenhua
author_facet Ou, Limin
Cai, Xiuyu
Zeng, Wenchuang
Huang, Liyan
Deng, Qiuhua
Tang, Hailing
Chen, Zhuxing
Zhou, Huan
Lin, Yongping
Liu, Liping
Liang, Wenhua
author_sort Ou, Limin
collection PubMed
description BACKGROUND: The testing for capability of some routine blood test parameters to reflect the biology of non-small cell lung carcinoma with different driver mutations is of great interest and practice significance. We aim to screen these variables and, if allowed, develop a novel predictive model based on results of these routine blood tests commonly performed in clinical practice to inform which can help doctors assess the patient’s genetic mutation status as early as possible before surgery. METHODS: For the exploration cohort, we included 1,595 patients who were diagnosed with non-small cell lung cancer (NSCLC) and genetically profiled by a next-generation sequencing panel in the First Affiliated Hospital of Guangzhou Medical University. The external validation cohort, which consists of 197 NSCLC cancer patients from Sun Yat-sen University Cancer Hospital, was subsequently established. RESULTS: We analyzed the association between 46 frequently tested laboratory variables and different genetic mutation types. KRAS mutation was found to be a unique subtype that exclusively correlated with several blood parameters in our study. Least absolute shrinkage and selection operator (LASSO) regression was performed, and the following parameters were found to be significantly associated with KRAS mutation: triglycerides [odds ratio (OR) =1.63], arterial oxygen partial pressure (OR =0.97), uric acid (OR =1.01), basophil count (OR =1.41), eosinophil count (OR =1.146), fibrinogen (OR =1.42), standard bicarbonate (OR =0.85), high-density lipoprotein cholesterol (OR =0.18), alpha-L-fucosidase (OR =1.07). The areas under the receiver-operator characteristic curve in the training set and the external validation set were 0.85 [95% confidence interval (CI): 0.81–0.88] and 0.81 (95% CI: 0.71–0.91), respectively. CONCLUSIONS: We developed a non-invasive, more cost-effective predictive model of NSCLC based on routinely available variables, with practical predictive power. This model can be used as a practical screening tool to guide the use of more specialized and expensive molecular assays for KRAS mutation in NSCLC. However, further studies are warranted to investigate the mechanism underlying such association between KRAS mutations and the related parameters of blood tests.
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spelling pubmed-99926212023-03-09 Laboratory blood test profiling reveals distinct biochemical and hemocyte features of KRAS mutated non-small cell lung cancer Ou, Limin Cai, Xiuyu Zeng, Wenchuang Huang, Liyan Deng, Qiuhua Tang, Hailing Chen, Zhuxing Zhou, Huan Lin, Yongping Liu, Liping Liang, Wenhua J Thorac Dis Original Article BACKGROUND: The testing for capability of some routine blood test parameters to reflect the biology of non-small cell lung carcinoma with different driver mutations is of great interest and practice significance. We aim to screen these variables and, if allowed, develop a novel predictive model based on results of these routine blood tests commonly performed in clinical practice to inform which can help doctors assess the patient’s genetic mutation status as early as possible before surgery. METHODS: For the exploration cohort, we included 1,595 patients who were diagnosed with non-small cell lung cancer (NSCLC) and genetically profiled by a next-generation sequencing panel in the First Affiliated Hospital of Guangzhou Medical University. The external validation cohort, which consists of 197 NSCLC cancer patients from Sun Yat-sen University Cancer Hospital, was subsequently established. RESULTS: We analyzed the association between 46 frequently tested laboratory variables and different genetic mutation types. KRAS mutation was found to be a unique subtype that exclusively correlated with several blood parameters in our study. Least absolute shrinkage and selection operator (LASSO) regression was performed, and the following parameters were found to be significantly associated with KRAS mutation: triglycerides [odds ratio (OR) =1.63], arterial oxygen partial pressure (OR =0.97), uric acid (OR =1.01), basophil count (OR =1.41), eosinophil count (OR =1.146), fibrinogen (OR =1.42), standard bicarbonate (OR =0.85), high-density lipoprotein cholesterol (OR =0.18), alpha-L-fucosidase (OR =1.07). The areas under the receiver-operator characteristic curve in the training set and the external validation set were 0.85 [95% confidence interval (CI): 0.81–0.88] and 0.81 (95% CI: 0.71–0.91), respectively. CONCLUSIONS: We developed a non-invasive, more cost-effective predictive model of NSCLC based on routinely available variables, with practical predictive power. This model can be used as a practical screening tool to guide the use of more specialized and expensive molecular assays for KRAS mutation in NSCLC. However, further studies are warranted to investigate the mechanism underlying such association between KRAS mutations and the related parameters of blood tests. AME Publishing Company 2023-01-13 2023-02-28 /pmc/articles/PMC9992621/ /pubmed/36910115 http://dx.doi.org/10.21037/jtd-22-829 Text en 2023 Journal of Thoracic Disease. 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
Ou, Limin
Cai, Xiuyu
Zeng, Wenchuang
Huang, Liyan
Deng, Qiuhua
Tang, Hailing
Chen, Zhuxing
Zhou, Huan
Lin, Yongping
Liu, Liping
Liang, Wenhua
Laboratory blood test profiling reveals distinct biochemical and hemocyte features of KRAS mutated non-small cell lung cancer
title Laboratory blood test profiling reveals distinct biochemical and hemocyte features of KRAS mutated non-small cell lung cancer
title_full Laboratory blood test profiling reveals distinct biochemical and hemocyte features of KRAS mutated non-small cell lung cancer
title_fullStr Laboratory blood test profiling reveals distinct biochemical and hemocyte features of KRAS mutated non-small cell lung cancer
title_full_unstemmed Laboratory blood test profiling reveals distinct biochemical and hemocyte features of KRAS mutated non-small cell lung cancer
title_short Laboratory blood test profiling reveals distinct biochemical and hemocyte features of KRAS mutated non-small cell lung cancer
title_sort laboratory blood test profiling reveals distinct biochemical and hemocyte features of kras mutated non-small cell lung cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992621/
https://www.ncbi.nlm.nih.gov/pubmed/36910115
http://dx.doi.org/10.21037/jtd-22-829
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