Clinical significance of preoperative inflammatory markers in non-small cell lung cancer patients: A multicenter retrospective study.

Inflammatory biomarkers have been associated with clinical outcomes in non-small cell lung cancer (NSCLC). However, the best prognostic marker(s) has not been identified, and the association between inflammatory markers and clinical characteristics is poorly understood. We selected 1,237 patients wi...
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Autor*in:	Kazuki Takada [verfasserIn] Shinkichi Takamori [verfasserIn] Taichi Matsubara [verfasserIn] Naoki Haratake [verfasserIn] Takaki Akamine [verfasserIn] Fumihiko Kinoshita [verfasserIn] Yuki Ono [verfasserIn] Sho Wakasu [verfasserIn] Kensuke Tanaka [verfasserIn] Yuka Oku [verfasserIn] Taro Oba [verfasserIn] Atsushi Osoegawa [verfasserIn] Tetsuzo Tagawa [verfasserIn] Mitsuhiro Takenoyama [verfasserIn] Mototsugu Shimokawa [verfasserIn] Yoshinao Oda [verfasserIn] Masaki Mori [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Übergeordnetes Werk:	In: PLoS ONE - Public Library of Science (PLoS), 2007, 15(2020), 11, p e0241580
Übergeordnetes Werk:	volume:15 ; year:2020 ; number:11, p e0241580

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1371/journal.pone.0241580

Katalog-ID:	DOAJ008490546

Internformat


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520			\|a Inflammatory biomarkers have been associated with clinical outcomes in non-small cell lung cancer (NSCLC). However, the best prognostic marker(s) has not been identified, and the association between inflammatory markers and clinical characteristics is poorly understood. We selected 1,237 patients with resected NSCLC from Kyushu University (2003-2015) and Kyushu Cancer Center (2009-2015) in Japan. Pearson product-moment correlation coefficient among inflammatory markers and area under curve (AUC) of receiver operating characteristic (ROC) curve analyses for overall survival (OS) were calculated. We analyzed the associations between inflammatory markers and clinical factors using Student's t-test. Univariate and multivariate analyses with Cox proportional hazards regression analyses were performed to evaluate the relationship between survival and clinical factors. The cut-off values for neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio, and derived NLR (dNLR) were determined by ROC curve analyses for OS. We found a strong positive correlation between NLR and dNLR (r = 0.9629). The AUC of LMR was the highest amongst the measured metrics, and the AUC of NLR was higher than dNLR. Levels of some inflammatory markers were associated with sex, smoking, squamous cell carcinoma, and pathological stage. LMR ≥ 5.11 and lactate dehydrogenase (LDH) concentration ≥ 222 (U/L) were independent predictors of both disease-free survival (DFS) and OS (LMR; P = 0.0009 and 0.0008, LDH; P = 0.0195 and 0.0187, respectively). Certain inflammatory markers, potentially linked to smoking, were associated with an advanced pathological stage in NSCLC. LMR and LDH were independent predictors of both DFS and OS.
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allfields	10.1371/journal.pone.0241580 doi (DE-627)DOAJ008490546 (DE-599)DOAJafddad95e3394b87b1d032eef69e4480 DE-627 ger DE-627 rakwb eng Kazuki Takada verfasserin aut Clinical significance of preoperative inflammatory markers in non-small cell lung cancer patients: A multicenter retrospective study. 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Inflammatory biomarkers have been associated with clinical outcomes in non-small cell lung cancer (NSCLC). However, the best prognostic marker(s) has not been identified, and the association between inflammatory markers and clinical characteristics is poorly understood. We selected 1,237 patients with resected NSCLC from Kyushu University (2003-2015) and Kyushu Cancer Center (2009-2015) in Japan. Pearson product-moment correlation coefficient among inflammatory markers and area under curve (AUC) of receiver operating characteristic (ROC) curve analyses for overall survival (OS) were calculated. We analyzed the associations between inflammatory markers and clinical factors using Student's t-test. Univariate and multivariate analyses with Cox proportional hazards regression analyses were performed to evaluate the relationship between survival and clinical factors. The cut-off values for neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio, and derived NLR (dNLR) were determined by ROC curve analyses for OS. We found a strong positive correlation between NLR and dNLR (r = 0.9629). The AUC of LMR was the highest amongst the measured metrics, and the AUC of NLR was higher than dNLR. Levels of some inflammatory markers were associated with sex, smoking, squamous cell carcinoma, and pathological stage. LMR ≥ 5.11 and lactate dehydrogenase (LDH) concentration ≥ 222 (U/L) were independent predictors of both disease-free survival (DFS) and OS (LMR; P = 0.0009 and 0.0008, LDH; P = 0.0195 and 0.0187, respectively). Certain inflammatory markers, potentially linked to smoking, were associated with an advanced pathological stage in NSCLC. LMR and LDH were independent predictors of both DFS and OS. Medicine R Science Q Shinkichi Takamori verfasserin aut Taichi Matsubara verfasserin aut Naoki Haratake verfasserin aut Takaki Akamine verfasserin aut Fumihiko Kinoshita verfasserin aut Yuki Ono verfasserin aut Sho Wakasu verfasserin aut Kensuke Tanaka verfasserin aut Yuka Oku verfasserin aut Taro Oba verfasserin aut Atsushi Osoegawa verfasserin aut Tetsuzo Tagawa verfasserin aut Mitsuhiro Takenoyama verfasserin aut Mototsugu Shimokawa verfasserin aut Yoshinao Oda verfasserin aut Masaki Mori verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 15(2020), 11, p e0241580 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:15 year:2020 number:11, p e0241580 https://doi.org/10.1371/journal.pone.0241580 kostenfrei https://doaj.org/article/afddad95e3394b87b1d032eef69e4480 kostenfrei https://doi.org/10.1371/journal.pone.0241580 kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2020 11, p e0241580
spelling	10.1371/journal.pone.0241580 doi (DE-627)DOAJ008490546 (DE-599)DOAJafddad95e3394b87b1d032eef69e4480 DE-627 ger DE-627 rakwb eng Kazuki Takada verfasserin aut Clinical significance of preoperative inflammatory markers in non-small cell lung cancer patients: A multicenter retrospective study. 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Inflammatory biomarkers have been associated with clinical outcomes in non-small cell lung cancer (NSCLC). However, the best prognostic marker(s) has not been identified, and the association between inflammatory markers and clinical characteristics is poorly understood. We selected 1,237 patients with resected NSCLC from Kyushu University (2003-2015) and Kyushu Cancer Center (2009-2015) in Japan. Pearson product-moment correlation coefficient among inflammatory markers and area under curve (AUC) of receiver operating characteristic (ROC) curve analyses for overall survival (OS) were calculated. We analyzed the associations between inflammatory markers and clinical factors using Student's t-test. Univariate and multivariate analyses with Cox proportional hazards regression analyses were performed to evaluate the relationship between survival and clinical factors. The cut-off values for neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio, and derived NLR (dNLR) were determined by ROC curve analyses for OS. We found a strong positive correlation between NLR and dNLR (r = 0.9629). The AUC of LMR was the highest amongst the measured metrics, and the AUC of NLR was higher than dNLR. Levels of some inflammatory markers were associated with sex, smoking, squamous cell carcinoma, and pathological stage. LMR ≥ 5.11 and lactate dehydrogenase (LDH) concentration ≥ 222 (U/L) were independent predictors of both disease-free survival (DFS) and OS (LMR; P = 0.0009 and 0.0008, LDH; P = 0.0195 and 0.0187, respectively). Certain inflammatory markers, potentially linked to smoking, were associated with an advanced pathological stage in NSCLC. LMR and LDH were independent predictors of both DFS and OS. Medicine R Science Q Shinkichi Takamori verfasserin aut Taichi Matsubara verfasserin aut Naoki Haratake verfasserin aut Takaki Akamine verfasserin aut Fumihiko Kinoshita verfasserin aut Yuki Ono verfasserin aut Sho Wakasu verfasserin aut Kensuke Tanaka verfasserin aut Yuka Oku verfasserin aut Taro Oba verfasserin aut Atsushi Osoegawa verfasserin aut Tetsuzo Tagawa verfasserin aut Mitsuhiro Takenoyama verfasserin aut Mototsugu Shimokawa verfasserin aut Yoshinao Oda verfasserin aut Masaki Mori verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 15(2020), 11, p e0241580 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:15 year:2020 number:11, p e0241580 https://doi.org/10.1371/journal.pone.0241580 kostenfrei https://doaj.org/article/afddad95e3394b87b1d032eef69e4480 kostenfrei https://doi.org/10.1371/journal.pone.0241580 kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2020 11, p e0241580
allfields_unstemmed	10.1371/journal.pone.0241580 doi (DE-627)DOAJ008490546 (DE-599)DOAJafddad95e3394b87b1d032eef69e4480 DE-627 ger DE-627 rakwb eng Kazuki Takada verfasserin aut Clinical significance of preoperative inflammatory markers in non-small cell lung cancer patients: A multicenter retrospective study. 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Inflammatory biomarkers have been associated with clinical outcomes in non-small cell lung cancer (NSCLC). However, the best prognostic marker(s) has not been identified, and the association between inflammatory markers and clinical characteristics is poorly understood. We selected 1,237 patients with resected NSCLC from Kyushu University (2003-2015) and Kyushu Cancer Center (2009-2015) in Japan. Pearson product-moment correlation coefficient among inflammatory markers and area under curve (AUC) of receiver operating characteristic (ROC) curve analyses for overall survival (OS) were calculated. We analyzed the associations between inflammatory markers and clinical factors using Student's t-test. Univariate and multivariate analyses with Cox proportional hazards regression analyses were performed to evaluate the relationship between survival and clinical factors. The cut-off values for neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio, and derived NLR (dNLR) were determined by ROC curve analyses for OS. We found a strong positive correlation between NLR and dNLR (r = 0.9629). The AUC of LMR was the highest amongst the measured metrics, and the AUC of NLR was higher than dNLR. Levels of some inflammatory markers were associated with sex, smoking, squamous cell carcinoma, and pathological stage. LMR ≥ 5.11 and lactate dehydrogenase (LDH) concentration ≥ 222 (U/L) were independent predictors of both disease-free survival (DFS) and OS (LMR; P = 0.0009 and 0.0008, LDH; P = 0.0195 and 0.0187, respectively). Certain inflammatory markers, potentially linked to smoking, were associated with an advanced pathological stage in NSCLC. LMR and LDH were independent predictors of both DFS and OS. Medicine R Science Q Shinkichi Takamori verfasserin aut Taichi Matsubara verfasserin aut Naoki Haratake verfasserin aut Takaki Akamine verfasserin aut Fumihiko Kinoshita verfasserin aut Yuki Ono verfasserin aut Sho Wakasu verfasserin aut Kensuke Tanaka verfasserin aut Yuka Oku verfasserin aut Taro Oba verfasserin aut Atsushi Osoegawa verfasserin aut Tetsuzo Tagawa verfasserin aut Mitsuhiro Takenoyama verfasserin aut Mototsugu Shimokawa verfasserin aut Yoshinao Oda verfasserin aut Masaki Mori verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 15(2020), 11, p e0241580 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:15 year:2020 number:11, p e0241580 https://doi.org/10.1371/journal.pone.0241580 kostenfrei https://doaj.org/article/afddad95e3394b87b1d032eef69e4480 kostenfrei https://doi.org/10.1371/journal.pone.0241580 kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2020 11, p e0241580
allfieldsGer	10.1371/journal.pone.0241580 doi (DE-627)DOAJ008490546 (DE-599)DOAJafddad95e3394b87b1d032eef69e4480 DE-627 ger DE-627 rakwb eng Kazuki Takada verfasserin aut Clinical significance of preoperative inflammatory markers in non-small cell lung cancer patients: A multicenter retrospective study. 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Inflammatory biomarkers have been associated with clinical outcomes in non-small cell lung cancer (NSCLC). However, the best prognostic marker(s) has not been identified, and the association between inflammatory markers and clinical characteristics is poorly understood. We selected 1,237 patients with resected NSCLC from Kyushu University (2003-2015) and Kyushu Cancer Center (2009-2015) in Japan. Pearson product-moment correlation coefficient among inflammatory markers and area under curve (AUC) of receiver operating characteristic (ROC) curve analyses for overall survival (OS) were calculated. We analyzed the associations between inflammatory markers and clinical factors using Student's t-test. Univariate and multivariate analyses with Cox proportional hazards regression analyses were performed to evaluate the relationship between survival and clinical factors. The cut-off values for neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio, and derived NLR (dNLR) were determined by ROC curve analyses for OS. We found a strong positive correlation between NLR and dNLR (r = 0.9629). The AUC of LMR was the highest amongst the measured metrics, and the AUC of NLR was higher than dNLR. Levels of some inflammatory markers were associated with sex, smoking, squamous cell carcinoma, and pathological stage. LMR ≥ 5.11 and lactate dehydrogenase (LDH) concentration ≥ 222 (U/L) were independent predictors of both disease-free survival (DFS) and OS (LMR; P = 0.0009 and 0.0008, LDH; P = 0.0195 and 0.0187, respectively). Certain inflammatory markers, potentially linked to smoking, were associated with an advanced pathological stage in NSCLC. LMR and LDH were independent predictors of both DFS and OS. Medicine R Science Q Shinkichi Takamori verfasserin aut Taichi Matsubara verfasserin aut Naoki Haratake verfasserin aut Takaki Akamine verfasserin aut Fumihiko Kinoshita verfasserin aut Yuki Ono verfasserin aut Sho Wakasu verfasserin aut Kensuke Tanaka verfasserin aut Yuka Oku verfasserin aut Taro Oba verfasserin aut Atsushi Osoegawa verfasserin aut Tetsuzo Tagawa verfasserin aut Mitsuhiro Takenoyama verfasserin aut Mototsugu Shimokawa verfasserin aut Yoshinao Oda verfasserin aut Masaki Mori verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 15(2020), 11, p e0241580 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:15 year:2020 number:11, p e0241580 https://doi.org/10.1371/journal.pone.0241580 kostenfrei https://doaj.org/article/afddad95e3394b87b1d032eef69e4480 kostenfrei https://doi.org/10.1371/journal.pone.0241580 kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2020 11, p e0241580
allfieldsSound	10.1371/journal.pone.0241580 doi (DE-627)DOAJ008490546 (DE-599)DOAJafddad95e3394b87b1d032eef69e4480 DE-627 ger DE-627 rakwb eng Kazuki Takada verfasserin aut Clinical significance of preoperative inflammatory markers in non-small cell lung cancer patients: A multicenter retrospective study. 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Inflammatory biomarkers have been associated with clinical outcomes in non-small cell lung cancer (NSCLC). However, the best prognostic marker(s) has not been identified, and the association between inflammatory markers and clinical characteristics is poorly understood. We selected 1,237 patients with resected NSCLC from Kyushu University (2003-2015) and Kyushu Cancer Center (2009-2015) in Japan. Pearson product-moment correlation coefficient among inflammatory markers and area under curve (AUC) of receiver operating characteristic (ROC) curve analyses for overall survival (OS) were calculated. We analyzed the associations between inflammatory markers and clinical factors using Student's t-test. Univariate and multivariate analyses with Cox proportional hazards regression analyses were performed to evaluate the relationship between survival and clinical factors. The cut-off values for neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio, and derived NLR (dNLR) were determined by ROC curve analyses for OS. We found a strong positive correlation between NLR and dNLR (r = 0.9629). The AUC of LMR was the highest amongst the measured metrics, and the AUC of NLR was higher than dNLR. Levels of some inflammatory markers were associated with sex, smoking, squamous cell carcinoma, and pathological stage. LMR ≥ 5.11 and lactate dehydrogenase (LDH) concentration ≥ 222 (U/L) were independent predictors of both disease-free survival (DFS) and OS (LMR; P = 0.0009 and 0.0008, LDH; P = 0.0195 and 0.0187, respectively). Certain inflammatory markers, potentially linked to smoking, were associated with an advanced pathological stage in NSCLC. LMR and LDH were independent predictors of both DFS and OS. Medicine R Science Q Shinkichi Takamori verfasserin aut Taichi Matsubara verfasserin aut Naoki Haratake verfasserin aut Takaki Akamine verfasserin aut Fumihiko Kinoshita verfasserin aut Yuki Ono verfasserin aut Sho Wakasu verfasserin aut Kensuke Tanaka verfasserin aut Yuka Oku verfasserin aut Taro Oba verfasserin aut Atsushi Osoegawa verfasserin aut Tetsuzo Tagawa verfasserin aut Mitsuhiro Takenoyama verfasserin aut Mototsugu Shimokawa verfasserin aut Yoshinao Oda verfasserin aut Masaki Mori verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 15(2020), 11, p e0241580 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:15 year:2020 number:11, p e0241580 https://doi.org/10.1371/journal.pone.0241580 kostenfrei https://doaj.org/article/afddad95e3394b87b1d032eef69e4480 kostenfrei https://doi.org/10.1371/journal.pone.0241580 kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2020 11, p e0241580
language	English
source	In PLoS ONE 15(2020), 11, p e0241580 volume:15 year:2020 number:11, p e0241580
sourceStr	In PLoS ONE 15(2020), 11, p e0241580 volume:15 year:2020 number:11, p e0241580
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Medicine R Science Q
isfreeaccess_bool	true
container_title	PLoS ONE
authorswithroles_txt_mv	Kazuki Takada @@aut@@ Shinkichi Takamori @@aut@@ Taichi Matsubara @@aut@@ Naoki Haratake @@aut@@ Takaki Akamine @@aut@@ Fumihiko Kinoshita @@aut@@ Yuki Ono @@aut@@ Sho Wakasu @@aut@@ Kensuke Tanaka @@aut@@ Yuka Oku @@aut@@ Taro Oba @@aut@@ Atsushi Osoegawa @@aut@@ Tetsuzo Tagawa @@aut@@ Mitsuhiro Takenoyama @@aut@@ Mototsugu Shimokawa @@aut@@ Yoshinao Oda @@aut@@ Masaki Mori @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	523574592
id	DOAJ008490546
language_de	englisch
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author	Kazuki Takada
spellingShingle	Kazuki Takada misc Medicine misc R misc Science misc Q Clinical significance of preoperative inflammatory markers in non-small cell lung cancer patients: A multicenter retrospective study.
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topic_title	Clinical significance of preoperative inflammatory markers in non-small cell lung cancer patients: A multicenter retrospective study
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title	Clinical significance of preoperative inflammatory markers in non-small cell lung cancer patients: A multicenter retrospective study.
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title_sort	clinical significance of preoperative inflammatory markers in non-small cell lung cancer patients: a multicenter retrospective study
title_auth	Clinical significance of preoperative inflammatory markers in non-small cell lung cancer patients: A multicenter retrospective study.
abstract	Inflammatory biomarkers have been associated with clinical outcomes in non-small cell lung cancer (NSCLC). However, the best prognostic marker(s) has not been identified, and the association between inflammatory markers and clinical characteristics is poorly understood. We selected 1,237 patients with resected NSCLC from Kyushu University (2003-2015) and Kyushu Cancer Center (2009-2015) in Japan. Pearson product-moment correlation coefficient among inflammatory markers and area under curve (AUC) of receiver operating characteristic (ROC) curve analyses for overall survival (OS) were calculated. We analyzed the associations between inflammatory markers and clinical factors using Student's t-test. Univariate and multivariate analyses with Cox proportional hazards regression analyses were performed to evaluate the relationship between survival and clinical factors. The cut-off values for neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio, and derived NLR (dNLR) were determined by ROC curve analyses for OS. We found a strong positive correlation between NLR and dNLR (r = 0.9629). The AUC of LMR was the highest amongst the measured metrics, and the AUC of NLR was higher than dNLR. Levels of some inflammatory markers were associated with sex, smoking, squamous cell carcinoma, and pathological stage. LMR ≥ 5.11 and lactate dehydrogenase (LDH) concentration ≥ 222 (U/L) were independent predictors of both disease-free survival (DFS) and OS (LMR; P = 0.0009 and 0.0008, LDH; P = 0.0195 and 0.0187, respectively). Certain inflammatory markers, potentially linked to smoking, were associated with an advanced pathological stage in NSCLC. LMR and LDH were independent predictors of both DFS and OS.
abstractGer	Inflammatory biomarkers have been associated with clinical outcomes in non-small cell lung cancer (NSCLC). However, the best prognostic marker(s) has not been identified, and the association between inflammatory markers and clinical characteristics is poorly understood. We selected 1,237 patients with resected NSCLC from Kyushu University (2003-2015) and Kyushu Cancer Center (2009-2015) in Japan. Pearson product-moment correlation coefficient among inflammatory markers and area under curve (AUC) of receiver operating characteristic (ROC) curve analyses for overall survival (OS) were calculated. We analyzed the associations between inflammatory markers and clinical factors using Student's t-test. Univariate and multivariate analyses with Cox proportional hazards regression analyses were performed to evaluate the relationship between survival and clinical factors. The cut-off values for neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio, and derived NLR (dNLR) were determined by ROC curve analyses for OS. We found a strong positive correlation between NLR and dNLR (r = 0.9629). The AUC of LMR was the highest amongst the measured metrics, and the AUC of NLR was higher than dNLR. Levels of some inflammatory markers were associated with sex, smoking, squamous cell carcinoma, and pathological stage. LMR ≥ 5.11 and lactate dehydrogenase (LDH) concentration ≥ 222 (U/L) were independent predictors of both disease-free survival (DFS) and OS (LMR; P = 0.0009 and 0.0008, LDH; P = 0.0195 and 0.0187, respectively). Certain inflammatory markers, potentially linked to smoking, were associated with an advanced pathological stage in NSCLC. LMR and LDH were independent predictors of both DFS and OS.
abstract_unstemmed	Inflammatory biomarkers have been associated with clinical outcomes in non-small cell lung cancer (NSCLC). However, the best prognostic marker(s) has not been identified, and the association between inflammatory markers and clinical characteristics is poorly understood. We selected 1,237 patients with resected NSCLC from Kyushu University (2003-2015) and Kyushu Cancer Center (2009-2015) in Japan. Pearson product-moment correlation coefficient among inflammatory markers and area under curve (AUC) of receiver operating characteristic (ROC) curve analyses for overall survival (OS) were calculated. We analyzed the associations between inflammatory markers and clinical factors using Student's t-test. Univariate and multivariate analyses with Cox proportional hazards regression analyses were performed to evaluate the relationship between survival and clinical factors. The cut-off values for neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio, and derived NLR (dNLR) were determined by ROC curve analyses for OS. We found a strong positive correlation between NLR and dNLR (r = 0.9629). The AUC of LMR was the highest amongst the measured metrics, and the AUC of NLR was higher than dNLR. Levels of some inflammatory markers were associated with sex, smoking, squamous cell carcinoma, and pathological stage. LMR ≥ 5.11 and lactate dehydrogenase (LDH) concentration ≥ 222 (U/L) were independent predictors of both disease-free survival (DFS) and OS (LMR; P = 0.0009 and 0.0008, LDH; P = 0.0195 and 0.0187, respectively). Certain inflammatory markers, potentially linked to smoking, were associated with an advanced pathological stage in NSCLC. LMR and LDH were independent predictors of both DFS and OS.
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title_short	Clinical significance of preoperative inflammatory markers in non-small cell lung cancer patients: A multicenter retrospective study.
url	https://doi.org/10.1371/journal.pone.0241580 https://doaj.org/article/afddad95e3394b87b1d032eef69e4480 https://doaj.org/toc/1932-6203
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However, the best prognostic marker(s) has not been identified, and the association between inflammatory markers and clinical characteristics is poorly understood. We selected 1,237 patients with resected NSCLC from Kyushu University (2003-2015) and Kyushu Cancer Center (2009-2015) in Japan. Pearson product-moment correlation coefficient among inflammatory markers and area under curve (AUC) of receiver operating characteristic (ROC) curve analyses for overall survival (OS) were calculated. We analyzed the associations between inflammatory markers and clinical factors using Student's t-test. Univariate and multivariate analyses with Cox proportional hazards regression analyses were performed to evaluate the relationship between survival and clinical factors. The cut-off values for neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio, and derived NLR (dNLR) were determined by ROC curve analyses for OS. We found a strong positive correlation between NLR and dNLR (r = 0.9629). The AUC of LMR was the highest amongst the measured metrics, and the AUC of NLR was higher than dNLR. Levels of some inflammatory markers were associated with sex, smoking, squamous cell carcinoma, and pathological stage. LMR ≥ 5.11 and lactate dehydrogenase (LDH) concentration ≥ 222 (U/L) were independent predictors of both disease-free survival (DFS) and OS (LMR; P = 0.0009 and 0.0008, LDH; P = 0.0195 and 0.0187, respectively). Certain inflammatory markers, potentially linked to smoking, were associated with an advanced pathological stage in NSCLC. 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Clinical significance of preoperative inflammatory markers in non-small cell lung cancer patients: A multicenter retrospective study.

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