Elevated CK‐MB and CK‐BB in serum and tumor homogenate of a patient with lung cancer

Lee, B. I.; Bach, Peter; Horton, Jack; Hickey, Tom; Davis, William A.

doi:10.1002/clc.4960080409

Cited by 21 publications

(8 citation statements)

References 18 publications

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“…Although creatine kinase isoenzymes (CK-MB) have a good specificity for diagnosis of myocardial infarction, related reports have indicated that the presence of malignant tumors can cause a significant distinction in CK-MB levels [52]. Our study also suggested that CK-MB ( P <.001) has a significantly different average value in lung cancer compared to negative samples.…”

Section: Discussionsupporting

confidence: 54%

A Machine Learning Method for Identifying Lung Cancer Based on Routine Blood Indices: Qualitative Feasibility Study

Wu¹,

Zan²,

Gao³

et al. 2019

JMIR Med Inform

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Background Liquid biopsies based on blood samples have been widely accepted as a diagnostic and monitoring tool for cancers, but extremely high sensitivity is frequently needed due to the very low levels of the specially selected DNA, RNA, or protein biomarkers that are released into blood. However, routine blood indices tests are frequently ordered by physicians, as they are easy to perform and are cost effective. In addition, machine learning is broadly accepted for its ability to decipher complicated connections between multiple sets of test data and diseases. Objective The aim of this study is to discover the potential association between lung cancer and routine blood indices and thereby help clinicians and patients to identify lung cancer based on these routine tests. Methods The machine learning method known as Random Forest was adopted to build an identification model between routine blood indices and lung cancer that would determine if they were potentially linked. Ten-fold cross-validation and further tests were utilized to evaluate the reliability of the identification model. Results In total, 277 patients with 49 types of routine blood indices were included in this study, including 183 patients with lung cancer and 94 patients without lung cancer. Throughout the course of the study, there was correlation found between the combination of 19 types of routine blood indices and lung cancer. Lung cancer patients could be identified from other patients, especially those with tuberculosis (which usually has similar clinical symptoms to lung cancer), with a sensitivity, specificity and total accuracy of 96.3%, 94.97% and 95.7% for the cross-validation results, respectively. This identification method is called the routine blood indices model for lung cancer, and it promises to be of help as a tool for both clinicians and patients for the identification of lung cancer based on routine blood indices. Conclusions Lung cancer can be identified based on the combination of 19 types of routine blood indices, which implies that artificial intelligence can find the connections between a disease and the fundamental indices of blood, which could reduce the necessity of costly, elaborate blood test techniques for this purpose. It may also be possible that the combination of multiple indices obtained from routine blood tests may be connected to other diseases as well.

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Section: Discussionsupporting

confidence: 54%

A Machine Learning Method for Identifying Lung Cancer Based on Routine Blood Indices: Qualitative Feasibility Study

Wu¹,

Zan²,

Gao³

et al. 2019

JMIR Med Inform

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“…In all types of lung carcinoma (except one case of small-cell carcinoma), MB-CK and MM-CK levels were found by Usui et al (1987) to be low and similar to those of normal lung. Using ionexchange chromatography (Tsung, 1983) and by electrophoretic analysis (Coolen et al, 1979;De Luca et al, 1981;Gazdar et al, 1981;Tsung, 1983;Lee et al, 1985;McGing et al, 1988), it has also been found that BB-CK is the predominant CK isoenzyme in several types of lung carcinoma. Our results show that, whereas lung adenocarcinomas and squamous cell carcinomas possess BBand MM-CK isoenzymes in a proportion similar to those of the normal lung tissue, the proportion of BB-CK increases in carcinoids of the lung.…”

Section: Distribution Of Ck Isoenzymes In Liver Normal Tissue and Tummentioning

confidence: 99%

Creatine kinase activity and isoenzymes in lung, colon and liver carcinomas

Joseph

Cardesa²,

Carreras³

1997

Br J Cancer

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SummaryWe have compared the levels of creatine kinase (CK) activity and the distribution of CK isoenzymes determined by agarose gel electrophoresis in normal colon, liver and lung tissues, and in colon, liver and lung adenocarcinomas, lung squamous cell carcinomas and lung carcinoids. Colon and lung adenocarcinomas, and squamous cell carcinomas presented lower CK activity than the normal tissues and no differences were found between hepatocarcinoma and normal liver tissue. In contrast, lung carcinoids had higher CK activity than normal lung tissue. Type BB-CK was the predominant isoenzyme in normal lung, colon and liver tissues. Type MM isoenzyme was detected in normal lung and type MB-CK was found in normal colon. In most lung tumours the CK isoenzyme electrophoretic pattern did not change. However, no type BB-CK was detected in some hepatocarcinomas, type MM-CK decreased in lung carcinoids and type MB isoenzyme was not observed in colon adenocarcinomas. It is concluded that in most tumours there is a decrease in the expression of type B-and type M-CK subunits, whereas in lung carcinoid the expression of type B-CK activity increases. Thus, the increase in type BB-CK observed in the serum of patients with lung and colon adenocarcinomas is probably due mainly to enhanced enzyme release as a result of tumour cell necrosis.

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“…Second, a significant increase in the serum levels of several inflammatory markers such as LDH, CK-MB, and antibodies against neutrophil cytoplasmic antigens (MPO and PR-3 levels) and the decrease in IgG and IgM levels, suggesting the ability of Pb to induce lung and systemic inflammation. Although CK-MB and LDH are found in almost all tissues of the body and can be elevated in many pathological conditions, several previous studies have observed elevated serum levels of LDH and CK-MB in patients with chronic cough and lung inflammation (Faruqi et al 2012) and lung cancer (Lee et al 1985).…”

Section: Discussionmentioning

confidence: 98%

Lead Nitrate Induces Inflammation and Apoptosis in Rat Lungs Through the Activation of NF-κB and AhR Signaling Pathways

Attafi

Bakheet

Ahmad

et al. 2022

Environ Sci Pollut Res

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Lead (Pb) is one of the most frequent hazardous air contaminants, where the lungs are particularly vulnerable to its toxicity. However, the Pb distribution and its impact on lung inflammation/apoptosis and particularly the involvement of nuclear factor kappa B (NF-κB) and aryl hydrocarbon receptor (AhR) signaling pathways in Pb-induced lung toxicity have not yet been fully investigated. Adult male Wistar albino rats were exposed to Pb nitrate 25, 50, and 100 mg/kg b.w. orally for 3 days. The histopathological changes of several rat organs were analyzed using hematoxylin and eosin staining. The concentrations of Pb ion in different organ tissues were quantified using inductive coupled plasma mass spectrometry, while gas chromatography-mass spectrometry was used to identify organic compounds. The changes in the mRNA and protein expression levels of inflammatory and apoptotic genes in response to Pb exposure were quantified by using RT-PCR and Western blot analyses, respectively. Treatment of rats with Pb for three consecutive days significantly increased the accumulation of Pb in lung tissues causing severe interstitial inflammation. Pb treatment also increased the percentage of lung apoptotic cells and modulated apoptotic genes (Bc2, p53, and TGF-α), inflammatory markers (IL-4, IL-10, TNF-α), and oxidative stress biomarkers (iNOS, CYP1A1, EphX) in rat lung tissues. These effects were associated with a significant increase in organic compounds, such as 3-nitrotyrosine and myeloperoxidase, and some inorganic elements, such as selenium. Importantly, the Pb-induced lung inflammation and apoptosis were associated with a proportional increase in the expression of NF-κB and AhR mRNAs and proteins. These findings clearly show that Pb induces severe inflammation and apoptosis in rat lungs and suggest that NF-κB and AhR may play a role in Pb-induced lung toxicity.

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Elevated CK‐MB and CK‐BB in serum and tumor homogenate of a patient with lung cancer

Cited by 21 publications

References 18 publications

A Machine Learning Method for Identifying Lung Cancer Based on Routine Blood Indices: Qualitative Feasibility Study

A Machine Learning Method for Identifying Lung Cancer Based on Routine Blood Indices: Qualitative Feasibility Study

Creatine kinase activity and isoenzymes in lung, colon and liver carcinomas

Lead Nitrate Induces Inflammation and Apoptosis in Rat Lungs Through the Activation of NF-κB and AhR Signaling Pathways

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