Multiplexed Serum Biomarkers for the Detection of Lung Cancer

Currently, there is no available biomarker for lung cancer diagnosis. Here we recruited 844 lung cancer patients and 620 healthy participants from six hospitals. A total of four serum proteins was identified and subsequently assessed in the training and validation cohorts. The concentrations of four...
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Autor*in:	Shenglin Ma, MD [verfasserIn] Wenzhe Wang, PhD [verfasserIn] Bing Xia, MD [verfasserIn] Shirong Zhang, MSc [verfasserIn] Haining Yuan, MSc [verfasserIn] Hong Jiang, MD [verfasserIn] Wen Meng, MD, MSc [verfasserIn] Xiaoliang Zheng, PhD [verfasserIn] Xiaoju Wang, PhD [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Lung cancer Serum biomarkers Risk factors Early detection LDCT

Übergeordnetes Werk:	In: EBioMedicine - Elsevier, 2015, 11(2016), C, Seite 210-218
Übergeordnetes Werk:	volume:11 ; year:2016 ; number:C ; pages:210-218

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.ebiom.2016.08.018

Katalog-ID:	DOAJ072146826

Internformat


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520			\|a Currently, there is no available biomarker for lung cancer diagnosis. Here we recruited 844 lung cancer patients and 620 healthy participants from six hospitals. A total of four serum proteins was identified and subsequently assessed in the training and validation cohorts. The concentrations of four serum proteins were found to be significantly higher in lung cancer patients compared with healthy participants. The area under the curve (AUC) for the 4-biomarker were 0.86 in the training cohort, and 0.87 in the validation cohort. The classification improved to a corrected AUC of 0.90 and 0.89 respectively following addition of sex, age and smoking status. Similar results were observed for early-stage lung cancer. Remarkably, in a blinded test with a suspicious pulmonary nodule, the adjusted prediction model correctly discriminated the patients with 86.96% sensitivity and 98.25% specificity. These results demonstrated the 4-biomarker panel improved lung cancer prediction beyond that of known risk factors. Moreover, the biomarkers were valuable in differentiating benign nodules which will remain indolent from those that are likely to progress and therefore might serve as an adjuvant diagnosis tool for LDCT scanning.
650		4	\|a Lung cancer
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700	0		\|a Haining Yuan, MSc \|e verfasserin \|4 aut
700	0		\|a Hong Jiang, MD \|e verfasserin \|4 aut
700	0		\|a Wen Meng, MD, MSc \|e verfasserin \|4 aut
700	0		\|a Xiaoliang Zheng, PhD \|e verfasserin \|4 aut
700	0		\|a Xiaoju Wang, PhD \|e verfasserin \|4 aut
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allfields	10.1016/j.ebiom.2016.08.018 doi (DE-627)DOAJ072146826 (DE-599)DOAJ2aaa95236d3f4f8e86e675e5e7b2808d DE-627 ger DE-627 rakwb eng R5-920 Shenglin Ma, MD verfasserin aut Multiplexed Serum Biomarkers for the Detection of Lung Cancer 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Currently, there is no available biomarker for lung cancer diagnosis. Here we recruited 844 lung cancer patients and 620 healthy participants from six hospitals. A total of four serum proteins was identified and subsequently assessed in the training and validation cohorts. The concentrations of four serum proteins were found to be significantly higher in lung cancer patients compared with healthy participants. The area under the curve (AUC) for the 4-biomarker were 0.86 in the training cohort, and 0.87 in the validation cohort. The classification improved to a corrected AUC of 0.90 and 0.89 respectively following addition of sex, age and smoking status. Similar results were observed for early-stage lung cancer. Remarkably, in a blinded test with a suspicious pulmonary nodule, the adjusted prediction model correctly discriminated the patients with 86.96% sensitivity and 98.25% specificity. These results demonstrated the 4-biomarker panel improved lung cancer prediction beyond that of known risk factors. Moreover, the biomarkers were valuable in differentiating benign nodules which will remain indolent from those that are likely to progress and therefore might serve as an adjuvant diagnosis tool for LDCT scanning. Lung cancer Serum biomarkers Risk factors Early detection LDCT Medicine R Medicine (General) Wenzhe Wang, PhD verfasserin aut Bing Xia, MD verfasserin aut Shirong Zhang, MSc verfasserin aut Haining Yuan, MSc verfasserin aut Hong Jiang, MD verfasserin aut Wen Meng, MD, MSc verfasserin aut Xiaoliang Zheng, PhD verfasserin aut Xiaoju Wang, PhD verfasserin aut In EBioMedicine Elsevier, 2015 11(2016), C, Seite 210-218 (DE-627)802540074 (DE-600)2799017-5 23523964 nnns volume:11 year:2016 number:C pages:210-218 https://doi.org/10.1016/j.ebiom.2016.08.018 kostenfrei https://doaj.org/article/2aaa95236d3f4f8e86e675e5e7b2808d kostenfrei http://www.sciencedirect.com/science/article/pii/S235239641630367X kostenfrei https://doaj.org/toc/2352-3964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 11 2016 C 210-218
spelling	10.1016/j.ebiom.2016.08.018 doi (DE-627)DOAJ072146826 (DE-599)DOAJ2aaa95236d3f4f8e86e675e5e7b2808d DE-627 ger DE-627 rakwb eng R5-920 Shenglin Ma, MD verfasserin aut Multiplexed Serum Biomarkers for the Detection of Lung Cancer 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Currently, there is no available biomarker for lung cancer diagnosis. Here we recruited 844 lung cancer patients and 620 healthy participants from six hospitals. A total of four serum proteins was identified and subsequently assessed in the training and validation cohorts. The concentrations of four serum proteins were found to be significantly higher in lung cancer patients compared with healthy participants. The area under the curve (AUC) for the 4-biomarker were 0.86 in the training cohort, and 0.87 in the validation cohort. The classification improved to a corrected AUC of 0.90 and 0.89 respectively following addition of sex, age and smoking status. Similar results were observed for early-stage lung cancer. Remarkably, in a blinded test with a suspicious pulmonary nodule, the adjusted prediction model correctly discriminated the patients with 86.96% sensitivity and 98.25% specificity. These results demonstrated the 4-biomarker panel improved lung cancer prediction beyond that of known risk factors. Moreover, the biomarkers were valuable in differentiating benign nodules which will remain indolent from those that are likely to progress and therefore might serve as an adjuvant diagnosis tool for LDCT scanning. Lung cancer Serum biomarkers Risk factors Early detection LDCT Medicine R Medicine (General) Wenzhe Wang, PhD verfasserin aut Bing Xia, MD verfasserin aut Shirong Zhang, MSc verfasserin aut Haining Yuan, MSc verfasserin aut Hong Jiang, MD verfasserin aut Wen Meng, MD, MSc verfasserin aut Xiaoliang Zheng, PhD verfasserin aut Xiaoju Wang, PhD verfasserin aut In EBioMedicine Elsevier, 2015 11(2016), C, Seite 210-218 (DE-627)802540074 (DE-600)2799017-5 23523964 nnns volume:11 year:2016 number:C pages:210-218 https://doi.org/10.1016/j.ebiom.2016.08.018 kostenfrei https://doaj.org/article/2aaa95236d3f4f8e86e675e5e7b2808d kostenfrei http://www.sciencedirect.com/science/article/pii/S235239641630367X kostenfrei https://doaj.org/toc/2352-3964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 11 2016 C 210-218
allfields_unstemmed	10.1016/j.ebiom.2016.08.018 doi (DE-627)DOAJ072146826 (DE-599)DOAJ2aaa95236d3f4f8e86e675e5e7b2808d DE-627 ger DE-627 rakwb eng R5-920 Shenglin Ma, MD verfasserin aut Multiplexed Serum Biomarkers for the Detection of Lung Cancer 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Currently, there is no available biomarker for lung cancer diagnosis. Here we recruited 844 lung cancer patients and 620 healthy participants from six hospitals. A total of four serum proteins was identified and subsequently assessed in the training and validation cohorts. The concentrations of four serum proteins were found to be significantly higher in lung cancer patients compared with healthy participants. The area under the curve (AUC) for the 4-biomarker were 0.86 in the training cohort, and 0.87 in the validation cohort. The classification improved to a corrected AUC of 0.90 and 0.89 respectively following addition of sex, age and smoking status. Similar results were observed for early-stage lung cancer. Remarkably, in a blinded test with a suspicious pulmonary nodule, the adjusted prediction model correctly discriminated the patients with 86.96% sensitivity and 98.25% specificity. These results demonstrated the 4-biomarker panel improved lung cancer prediction beyond that of known risk factors. Moreover, the biomarkers were valuable in differentiating benign nodules which will remain indolent from those that are likely to progress and therefore might serve as an adjuvant diagnosis tool for LDCT scanning. Lung cancer Serum biomarkers Risk factors Early detection LDCT Medicine R Medicine (General) Wenzhe Wang, PhD verfasserin aut Bing Xia, MD verfasserin aut Shirong Zhang, MSc verfasserin aut Haining Yuan, MSc verfasserin aut Hong Jiang, MD verfasserin aut Wen Meng, MD, MSc verfasserin aut Xiaoliang Zheng, PhD verfasserin aut Xiaoju Wang, PhD verfasserin aut In EBioMedicine Elsevier, 2015 11(2016), C, Seite 210-218 (DE-627)802540074 (DE-600)2799017-5 23523964 nnns volume:11 year:2016 number:C pages:210-218 https://doi.org/10.1016/j.ebiom.2016.08.018 kostenfrei https://doaj.org/article/2aaa95236d3f4f8e86e675e5e7b2808d kostenfrei http://www.sciencedirect.com/science/article/pii/S235239641630367X kostenfrei https://doaj.org/toc/2352-3964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 11 2016 C 210-218
allfieldsGer	10.1016/j.ebiom.2016.08.018 doi (DE-627)DOAJ072146826 (DE-599)DOAJ2aaa95236d3f4f8e86e675e5e7b2808d DE-627 ger DE-627 rakwb eng R5-920 Shenglin Ma, MD verfasserin aut Multiplexed Serum Biomarkers for the Detection of Lung Cancer 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Currently, there is no available biomarker for lung cancer diagnosis. Here we recruited 844 lung cancer patients and 620 healthy participants from six hospitals. A total of four serum proteins was identified and subsequently assessed in the training and validation cohorts. The concentrations of four serum proteins were found to be significantly higher in lung cancer patients compared with healthy participants. The area under the curve (AUC) for the 4-biomarker were 0.86 in the training cohort, and 0.87 in the validation cohort. The classification improved to a corrected AUC of 0.90 and 0.89 respectively following addition of sex, age and smoking status. Similar results were observed for early-stage lung cancer. Remarkably, in a blinded test with a suspicious pulmonary nodule, the adjusted prediction model correctly discriminated the patients with 86.96% sensitivity and 98.25% specificity. These results demonstrated the 4-biomarker panel improved lung cancer prediction beyond that of known risk factors. Moreover, the biomarkers were valuable in differentiating benign nodules which will remain indolent from those that are likely to progress and therefore might serve as an adjuvant diagnosis tool for LDCT scanning. Lung cancer Serum biomarkers Risk factors Early detection LDCT Medicine R Medicine (General) Wenzhe Wang, PhD verfasserin aut Bing Xia, MD verfasserin aut Shirong Zhang, MSc verfasserin aut Haining Yuan, MSc verfasserin aut Hong Jiang, MD verfasserin aut Wen Meng, MD, MSc verfasserin aut Xiaoliang Zheng, PhD verfasserin aut Xiaoju Wang, PhD verfasserin aut In EBioMedicine Elsevier, 2015 11(2016), C, Seite 210-218 (DE-627)802540074 (DE-600)2799017-5 23523964 nnns volume:11 year:2016 number:C pages:210-218 https://doi.org/10.1016/j.ebiom.2016.08.018 kostenfrei https://doaj.org/article/2aaa95236d3f4f8e86e675e5e7b2808d kostenfrei http://www.sciencedirect.com/science/article/pii/S235239641630367X kostenfrei https://doaj.org/toc/2352-3964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 11 2016 C 210-218
allfieldsSound	10.1016/j.ebiom.2016.08.018 doi (DE-627)DOAJ072146826 (DE-599)DOAJ2aaa95236d3f4f8e86e675e5e7b2808d DE-627 ger DE-627 rakwb eng R5-920 Shenglin Ma, MD verfasserin aut Multiplexed Serum Biomarkers for the Detection of Lung Cancer 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Currently, there is no available biomarker for lung cancer diagnosis. Here we recruited 844 lung cancer patients and 620 healthy participants from six hospitals. A total of four serum proteins was identified and subsequently assessed in the training and validation cohorts. The concentrations of four serum proteins were found to be significantly higher in lung cancer patients compared with healthy participants. The area under the curve (AUC) for the 4-biomarker were 0.86 in the training cohort, and 0.87 in the validation cohort. The classification improved to a corrected AUC of 0.90 and 0.89 respectively following addition of sex, age and smoking status. Similar results were observed for early-stage lung cancer. Remarkably, in a blinded test with a suspicious pulmonary nodule, the adjusted prediction model correctly discriminated the patients with 86.96% sensitivity and 98.25% specificity. These results demonstrated the 4-biomarker panel improved lung cancer prediction beyond that of known risk factors. Moreover, the biomarkers were valuable in differentiating benign nodules which will remain indolent from those that are likely to progress and therefore might serve as an adjuvant diagnosis tool for LDCT scanning. Lung cancer Serum biomarkers Risk factors Early detection LDCT Medicine R Medicine (General) Wenzhe Wang, PhD verfasserin aut Bing Xia, MD verfasserin aut Shirong Zhang, MSc verfasserin aut Haining Yuan, MSc verfasserin aut Hong Jiang, MD verfasserin aut Wen Meng, MD, MSc verfasserin aut Xiaoliang Zheng, PhD verfasserin aut Xiaoju Wang, PhD verfasserin aut In EBioMedicine Elsevier, 2015 11(2016), C, Seite 210-218 (DE-627)802540074 (DE-600)2799017-5 23523964 nnns volume:11 year:2016 number:C pages:210-218 https://doi.org/10.1016/j.ebiom.2016.08.018 kostenfrei https://doaj.org/article/2aaa95236d3f4f8e86e675e5e7b2808d kostenfrei http://www.sciencedirect.com/science/article/pii/S235239641630367X kostenfrei https://doaj.org/toc/2352-3964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 11 2016 C 210-218
language	English
source	In EBioMedicine 11(2016), C, Seite 210-218 volume:11 year:2016 number:C pages:210-218
sourceStr	In EBioMedicine 11(2016), C, Seite 210-218 volume:11 year:2016 number:C pages:210-218
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Lung cancer Serum biomarkers Risk factors Early detection LDCT Medicine R Medicine (General)
isfreeaccess_bool	true
container_title	EBioMedicine
authorswithroles_txt_mv	Shenglin Ma, MD @@aut@@ Wenzhe Wang, PhD @@aut@@ Bing Xia, MD @@aut@@ Shirong Zhang, MSc @@aut@@ Haining Yuan, MSc @@aut@@ Hong Jiang, MD @@aut@@ Wen Meng, MD, MSc @@aut@@ Xiaoliang Zheng, PhD @@aut@@ Xiaoju Wang, PhD @@aut@@
publishDateDaySort_date	2016-01-01T00:00:00Z
hierarchy_top_id	802540074
id	DOAJ072146826
language_de	englisch
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callnumber-first	R - Medicine
author	Shenglin Ma, MD
spellingShingle	Shenglin Ma, MD misc R5-920 misc Lung cancer misc Serum biomarkers misc Risk factors misc Early detection misc LDCT misc Medicine misc R misc Medicine (General) Multiplexed Serum Biomarkers for the Detection of Lung Cancer
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topic_title	R5-920 Multiplexed Serum Biomarkers for the Detection of Lung Cancer Lung cancer Serum biomarkers Risk factors Early detection LDCT
topic	misc R5-920 misc Lung cancer misc Serum biomarkers misc Risk factors misc Early detection misc LDCT misc Medicine misc R misc Medicine (General)
topic_unstemmed	misc R5-920 misc Lung cancer misc Serum biomarkers misc Risk factors misc Early detection misc LDCT misc Medicine misc R misc Medicine (General)
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title	Multiplexed Serum Biomarkers for the Detection of Lung Cancer
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title_full	Multiplexed Serum Biomarkers for the Detection of Lung Cancer
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author_browse	Shenglin Ma, MD Wenzhe Wang, PhD Bing Xia, MD Shirong Zhang, MSc Haining Yuan, MSc Hong Jiang, MD Wen Meng, MD, MSc Xiaoliang Zheng, PhD Xiaoju Wang, PhD
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doi_str_mv	10.1016/j.ebiom.2016.08.018
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title_sort	multiplexed serum biomarkers for the detection of lung cancer
callnumber	R5-920
title_auth	Multiplexed Serum Biomarkers for the Detection of Lung Cancer
abstract	Currently, there is no available biomarker for lung cancer diagnosis. Here we recruited 844 lung cancer patients and 620 healthy participants from six hospitals. A total of four serum proteins was identified and subsequently assessed in the training and validation cohorts. The concentrations of four serum proteins were found to be significantly higher in lung cancer patients compared with healthy participants. The area under the curve (AUC) for the 4-biomarker were 0.86 in the training cohort, and 0.87 in the validation cohort. The classification improved to a corrected AUC of 0.90 and 0.89 respectively following addition of sex, age and smoking status. Similar results were observed for early-stage lung cancer. Remarkably, in a blinded test with a suspicious pulmonary nodule, the adjusted prediction model correctly discriminated the patients with 86.96% sensitivity and 98.25% specificity. These results demonstrated the 4-biomarker panel improved lung cancer prediction beyond that of known risk factors. Moreover, the biomarkers were valuable in differentiating benign nodules which will remain indolent from those that are likely to progress and therefore might serve as an adjuvant diagnosis tool for LDCT scanning.
abstractGer	Currently, there is no available biomarker for lung cancer diagnosis. Here we recruited 844 lung cancer patients and 620 healthy participants from six hospitals. A total of four serum proteins was identified and subsequently assessed in the training and validation cohorts. The concentrations of four serum proteins were found to be significantly higher in lung cancer patients compared with healthy participants. The area under the curve (AUC) for the 4-biomarker were 0.86 in the training cohort, and 0.87 in the validation cohort. The classification improved to a corrected AUC of 0.90 and 0.89 respectively following addition of sex, age and smoking status. Similar results were observed for early-stage lung cancer. Remarkably, in a blinded test with a suspicious pulmonary nodule, the adjusted prediction model correctly discriminated the patients with 86.96% sensitivity and 98.25% specificity. These results demonstrated the 4-biomarker panel improved lung cancer prediction beyond that of known risk factors. Moreover, the biomarkers were valuable in differentiating benign nodules which will remain indolent from those that are likely to progress and therefore might serve as an adjuvant diagnosis tool for LDCT scanning.
abstract_unstemmed	Currently, there is no available biomarker for lung cancer diagnosis. Here we recruited 844 lung cancer patients and 620 healthy participants from six hospitals. A total of four serum proteins was identified and subsequently assessed in the training and validation cohorts. The concentrations of four serum proteins were found to be significantly higher in lung cancer patients compared with healthy participants. The area under the curve (AUC) for the 4-biomarker were 0.86 in the training cohort, and 0.87 in the validation cohort. The classification improved to a corrected AUC of 0.90 and 0.89 respectively following addition of sex, age and smoking status. Similar results were observed for early-stage lung cancer. Remarkably, in a blinded test with a suspicious pulmonary nodule, the adjusted prediction model correctly discriminated the patients with 86.96% sensitivity and 98.25% specificity. These results demonstrated the 4-biomarker panel improved lung cancer prediction beyond that of known risk factors. Moreover, the biomarkers were valuable in differentiating benign nodules which will remain indolent from those that are likely to progress and therefore might serve as an adjuvant diagnosis tool for LDCT scanning.
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title_short	Multiplexed Serum Biomarkers for the Detection of Lung Cancer
url	https://doi.org/10.1016/j.ebiom.2016.08.018 https://doaj.org/article/2aaa95236d3f4f8e86e675e5e7b2808d http://www.sciencedirect.com/science/article/pii/S235239641630367X https://doaj.org/toc/2352-3964
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up_date	2024-07-03T23:55:22.454Z
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Multiplexed Serum Biomarkers for the Detection of Lung Cancer

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