Diagnostic value of high molecular weight alkaline phosphatase in detection of hepatic metastasis in patients with lung cancer

Nishio, Hiroshi; Sakuma, Takahiko; Nakamura, Shinichiro; Horai, Takeshi; Ikegami, Harumichi

doi:10.1002/1097-0142(19860501)57:9<1815::aid-cncr2820570918>3.0.co;2-1

Cited by 12 publications

(5 citation statements)

References 16 publications

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“…The results demonstrated that the AFP protein levels of the medium collected from the lung cancer chamber was very low, whereas those observed in the medium collected from the whole system were consist with the IF results (Figure 6C). Serum ALP 39 and γ-GT 40 detection is the commonly used test for predicting liver metastases. The ALP and γ-GT expression levels of media (lung cancer chambers and the whole systems) were verified to demonstrate the cancer liver metastasis by ELISA (Figure 7).…”

Section: ■ Results and Discussionmentioning

confidence: 99%

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An Oxygen-Concentration-Controllable Multiorgan Microfluidic Platform for Studying Hypoxia-Induced Lung Cancer-Liver Metastasis and Screening Drugs

et al. 2021

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Various cancer metastasis models based on organ-on-a-chip platforms have been established to study molecular mechanisms and screen drugs. However, current platforms can neither reveal hypoxia-induced cancer metastasis mechanisms nor allow drug screening under a hypoxia environment on a multiorgan level. We have developed a three-dimensional-culture multiorgan microfluidic (3D-CMOM) platform in which the dissolved oxygen concentration can be precisely controlled. An organ-level lung cancer and liver linkage model was established under normoxic/hypoxic conditions. A transcriptomics analysis of the hypoxia-induced lung cancer cells (A549 cells) on the platform indicated that the hypoxia-inducible factor 1α (HIF-1α) pathway could elevate epithelial-mesenchymal transition (EMT) transcription factors (Snail 1 and Snail 2), which could promote cancer metastasis. Then, protein detection demonstrated that HIF-1α and EMT transcription factor expression levels were positively correlated with the secretion of cancer metastasis damage factors alphafetoprotein (AFP), alkaline phosphatase (ALP), and gamma-glutamyl transpeptidase (γ-GT) from liver cells. Furthermore, the cancer treatment effects of HIF-1α inhibitors (tirapazamine, SYP-5, and IDF-11774) were evaluated using the platform. The treatment effect of SYP-5 was enhanced under the hypoxic conditions with fewer side effects, similar to the findings of TPZ. We can envision its wide application in future investigations of cancer metastasis and screening of drugs under hypoxic conditions with the potential to replace animal experiments.

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Section: ■ Results and Discussionmentioning

confidence: 99%

“…Serum ALP and γ-GT detection is the commonly used test for predicting liver metastases. The ALP and γ-GT expression levels of media (lung cancer chambers and the whole systems) were verified to demonstrate the cancer liver metastasis by ELISA (Figure ).…”

Section: Resultsmentioning

confidence: 99%

An Oxygen-Concentration-Controllable Multiorgan Microfluidic Platform for Studying Hypoxia-Induced Lung Cancer-Liver Metastasis and Screening Drugs

et al. 2021

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“…An increased expression of liver ALP at the surface of hepatocyte plasma membranes, accompanied by the shedding of liver plasma membrane fragments is thought to be responsible for the presence of BALP in these patients (Van Hoof and De Broe 1994;Deng et al 1996). The clinical value of the BALP isoform in detecting liver metastasis has been evaluated by several investigators (Viot et al 1981;Viot et al 1983;Karmen et al 1984;Nishio et al 1986;Yeh et al 1989;Yorio et al 2000).…”

Section: Introductionmentioning

confidence: 99%

Clinical value of biliary alkaline phosphatase in non-jaundiced cholangiocarcinoma

Bhudhisawasdi

Muisuk

Areejitranusorn

et al. 2004

Journal of Cancer Research and Clinical Oncology

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“…There is a common view that paraneoplastic processes and distant metastases (to the bone marrow) will increase EO# to some extent [50]. Alkaline phosphatase (ALP) is reported to be associated with cancer metastasis in the literature [51], and it was also a critical index for identifying lung cancer and negative samples in our analysis.…”

Section: Discussionmentioning

confidence: 97%

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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Diagnostic value of high molecular weight alkaline phosphatase in detection of hepatic metastasis in patients with lung cancer

Cited by 12 publications

References 16 publications

An Oxygen-Concentration-Controllable Multiorgan Microfluidic Platform for Studying Hypoxia-Induced Lung Cancer-Liver Metastasis and Screening Drugs

An Oxygen-Concentration-Controllable Multiorgan Microfluidic Platform for Studying Hypoxia-Induced Lung Cancer-Liver Metastasis and Screening Drugs

Clinical value of biliary alkaline phosphatase in non-jaundiced cholangiocarcinoma

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

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