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Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma
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| Zeitschriftentitel: | Journal of Clinical Laboratory Analysis |
|---|---|
| Personen und Körperschaften: | , , , , , , |
| In: | Journal of Clinical Laboratory Analysis, 34, 2020, 5 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
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| Schlagwörter: |
| author_facet |
Cao, Lin‐Lin Chen, Zhaoming Yue, Zhihong Pei, Lin Jia, Mei Wang, Hui Li, Tingting Cao, Lin‐Lin Chen, Zhaoming Yue, Zhihong Pei, Lin Jia, Mei Wang, Hui Li, Tingting |
|---|---|
| author |
Cao, Lin‐Lin Chen, Zhaoming Yue, Zhihong Pei, Lin Jia, Mei Wang, Hui Li, Tingting |
| spellingShingle |
Cao, Lin‐Lin Chen, Zhaoming Yue, Zhihong Pei, Lin Jia, Mei Wang, Hui Li, Tingting Journal of Clinical Laboratory Analysis Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma Microbiology (medical) Biochemistry (medical) Medical Laboratory Technology Clinical Biochemistry Public Health, Environmental and Occupational Health Hematology Immunology and Allergy |
| author_sort |
cao, lin‐lin |
| spelling |
Cao, Lin‐Lin Chen, Zhaoming Yue, Zhihong Pei, Lin Jia, Mei Wang, Hui Li, Tingting 0887-8013 1098-2825 Wiley Microbiology (medical) Biochemistry (medical) Medical Laboratory Technology Clinical Biochemistry Public Health, Environmental and Occupational Health Hematology Immunology and Allergy http://dx.doi.org/10.1002/jcla.23189 <jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Osteosarcoma (OS) is one of the most common malignant bone tumors. It is essential to explore early diagnostic indicators with high sensitivity and specificity due to the rapid progression and metastasis of OS and the poor survival of metastatic OS patients. However, a few indicators of diagnostic significance have been described.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>A total of 458 OS patients, 312 healthy individuals, and 228 patients with primary benign bone lesions were included. Logistic regression was performed on 46 clinical laboratory parameters to establish the diagnostic classifiers, which were evaluated by analysis of the receiver operating characteristic (ROC) curves.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>We established three diagnostic classifiers, called <jats:italic>C</jats:italic><jats:sub>os</jats:sub> for all ages, <jats:italic>C</jats:italic><jats:sub>los</jats:sub> for low ages, and <jats:italic>C</jats:italic><jats:sub>hos</jats:sub> for high ages, with clinical laboratory parameters to distinguish OS from healthy individuals. All classifiers showed better diagnostic performances than alkaline phosphatase (ALP) in the independent validation cohort. In addition, these classifiers had better ability than ALP to discriminate OS from primary benign bone lesions. Furthermore, <jats:italic>C</jats:italic><jats:sub>os</jats:sub>, <jats:italic>C</jats:italic><jats:sub>los,</jats:sub> and <jats:italic>C</jats:italic><jats:sub>hos</jats:sub> had larger AUC than ALP to identify small‐size and early‐stage OS and could also detect ALP‐negative OS effectively.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Our study suggests the potential of <jats:italic>C</jats:italic><jats:sub>os</jats:sub>, <jats:italic>C</jats:italic><jats:sub>los</jats:sub>, and <jats:italic>C</jats:italic><jats:sub>hos</jats:sub> as non‐invasive biomarkers for early OS.</jats:p></jats:sec> Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma Journal of Clinical Laboratory Analysis |
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Journal of Clinical Laboratory Analysis |
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| title |
Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma |
| title_unstemmed |
Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma |
| title_full |
Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma |
| title_fullStr |
Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma |
| title_full_unstemmed |
Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma |
| title_short |
Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma |
| title_sort |
novel classifiers with clinical laboratory parameters for early detection of osteosarcoma |
| topic |
Microbiology (medical) Biochemistry (medical) Medical Laboratory Technology Clinical Biochemistry Public Health, Environmental and Occupational Health Hematology Immunology and Allergy |
| url |
http://dx.doi.org/10.1002/jcla.23189 |
| publishDate |
2020 |
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|
| description |
<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Osteosarcoma (OS) is one of the most common malignant bone tumors. It is essential to explore early diagnostic indicators with high sensitivity and specificity due to the rapid progression and metastasis of OS and the poor survival of metastatic OS patients. However, a few indicators of diagnostic significance have been described.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>A total of 458 OS patients, 312 healthy individuals, and 228 patients with primary benign bone lesions were included. Logistic regression was performed on 46 clinical laboratory parameters to establish the diagnostic classifiers, which were evaluated by analysis of the receiver operating characteristic (ROC) curves.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>We established three diagnostic classifiers, called <jats:italic>C</jats:italic><jats:sub>os</jats:sub> for all ages, <jats:italic>C</jats:italic><jats:sub>los</jats:sub> for low ages, and <jats:italic>C</jats:italic><jats:sub>hos</jats:sub> for high ages, with clinical laboratory parameters to distinguish OS from healthy individuals. All classifiers showed better diagnostic performances than alkaline phosphatase (ALP) in the independent validation cohort. In addition, these classifiers had better ability than ALP to discriminate OS from primary benign bone lesions. Furthermore, <jats:italic>C</jats:italic><jats:sub>os</jats:sub>, <jats:italic>C</jats:italic><jats:sub>los,</jats:sub> and <jats:italic>C</jats:italic><jats:sub>hos</jats:sub> had larger AUC than ALP to identify small‐size and early‐stage OS and could also detect ALP‐negative OS effectively.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Our study suggests the potential of <jats:italic>C</jats:italic><jats:sub>os</jats:sub>, <jats:italic>C</jats:italic><jats:sub>los</jats:sub>, and <jats:italic>C</jats:italic><jats:sub>hos</jats:sub> as non‐invasive biomarkers for early OS.</jats:p></jats:sec> |
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| author | Cao, Lin‐Lin, Chen, Zhaoming, Yue, Zhihong, Pei, Lin, Jia, Mei, Wang, Hui, Li, Tingting |
| author_facet | Cao, Lin‐Lin, Chen, Zhaoming, Yue, Zhihong, Pei, Lin, Jia, Mei, Wang, Hui, Li, Tingting, Cao, Lin‐Lin, Chen, Zhaoming, Yue, Zhihong, Pei, Lin, Jia, Mei, Wang, Hui, Li, Tingting |
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| description | <jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Osteosarcoma (OS) is one of the most common malignant bone tumors. It is essential to explore early diagnostic indicators with high sensitivity and specificity due to the rapid progression and metastasis of OS and the poor survival of metastatic OS patients. However, a few indicators of diagnostic significance have been described.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>A total of 458 OS patients, 312 healthy individuals, and 228 patients with primary benign bone lesions were included. Logistic regression was performed on 46 clinical laboratory parameters to establish the diagnostic classifiers, which were evaluated by analysis of the receiver operating characteristic (ROC) curves.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>We established three diagnostic classifiers, called <jats:italic>C</jats:italic><jats:sub>os</jats:sub> for all ages, <jats:italic>C</jats:italic><jats:sub>los</jats:sub> for low ages, and <jats:italic>C</jats:italic><jats:sub>hos</jats:sub> for high ages, with clinical laboratory parameters to distinguish OS from healthy individuals. All classifiers showed better diagnostic performances than alkaline phosphatase (ALP) in the independent validation cohort. In addition, these classifiers had better ability than ALP to discriminate OS from primary benign bone lesions. Furthermore, <jats:italic>C</jats:italic><jats:sub>os</jats:sub>, <jats:italic>C</jats:italic><jats:sub>los,</jats:sub> and <jats:italic>C</jats:italic><jats:sub>hos</jats:sub> had larger AUC than ALP to identify small‐size and early‐stage OS and could also detect ALP‐negative OS effectively.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Our study suggests the potential of <jats:italic>C</jats:italic><jats:sub>os</jats:sub>, <jats:italic>C</jats:italic><jats:sub>los</jats:sub>, and <jats:italic>C</jats:italic><jats:sub>hos</jats:sub> as non‐invasive biomarkers for early OS.</jats:p></jats:sec> |
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| institution | DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161 |
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| spelling | Cao, Lin‐Lin Chen, Zhaoming Yue, Zhihong Pei, Lin Jia, Mei Wang, Hui Li, Tingting 0887-8013 1098-2825 Wiley Microbiology (medical) Biochemistry (medical) Medical Laboratory Technology Clinical Biochemistry Public Health, Environmental and Occupational Health Hematology Immunology and Allergy http://dx.doi.org/10.1002/jcla.23189 <jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Osteosarcoma (OS) is one of the most common malignant bone tumors. It is essential to explore early diagnostic indicators with high sensitivity and specificity due to the rapid progression and metastasis of OS and the poor survival of metastatic OS patients. However, a few indicators of diagnostic significance have been described.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>A total of 458 OS patients, 312 healthy individuals, and 228 patients with primary benign bone lesions were included. Logistic regression was performed on 46 clinical laboratory parameters to establish the diagnostic classifiers, which were evaluated by analysis of the receiver operating characteristic (ROC) curves.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>We established three diagnostic classifiers, called <jats:italic>C</jats:italic><jats:sub>os</jats:sub> for all ages, <jats:italic>C</jats:italic><jats:sub>los</jats:sub> for low ages, and <jats:italic>C</jats:italic><jats:sub>hos</jats:sub> for high ages, with clinical laboratory parameters to distinguish OS from healthy individuals. All classifiers showed better diagnostic performances than alkaline phosphatase (ALP) in the independent validation cohort. In addition, these classifiers had better ability than ALP to discriminate OS from primary benign bone lesions. Furthermore, <jats:italic>C</jats:italic><jats:sub>os</jats:sub>, <jats:italic>C</jats:italic><jats:sub>los,</jats:sub> and <jats:italic>C</jats:italic><jats:sub>hos</jats:sub> had larger AUC than ALP to identify small‐size and early‐stage OS and could also detect ALP‐negative OS effectively.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Our study suggests the potential of <jats:italic>C</jats:italic><jats:sub>os</jats:sub>, <jats:italic>C</jats:italic><jats:sub>los</jats:sub>, and <jats:italic>C</jats:italic><jats:sub>hos</jats:sub> as non‐invasive biomarkers for early OS.</jats:p></jats:sec> Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma Journal of Clinical Laboratory Analysis |
| spellingShingle | Cao, Lin‐Lin, Chen, Zhaoming, Yue, Zhihong, Pei, Lin, Jia, Mei, Wang, Hui, Li, Tingting, Journal of Clinical Laboratory Analysis, Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma, Microbiology (medical), Biochemistry (medical), Medical Laboratory Technology, Clinical Biochemistry, Public Health, Environmental and Occupational Health, Hematology, Immunology and Allergy |
| title | Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma |
| title_full | Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma |
| title_fullStr | Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma |
| title_full_unstemmed | Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma |
| title_short | Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma |
| title_sort | novel classifiers with clinical laboratory parameters for early detection of osteosarcoma |
| title_unstemmed | Novel classifiers with clinical laboratory parameters for early detection of osteosarcoma |
| topic | Microbiology (medical), Biochemistry (medical), Medical Laboratory Technology, Clinical Biochemistry, Public Health, Environmental and Occupational Health, Hematology, Immunology and Allergy |
| url | http://dx.doi.org/10.1002/jcla.23189 |