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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| Published in | PloS one Vol. 15; no. 11; p. e0241580 |
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| Main Authors | , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
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Public Library of Science
02.11.2020
Public Library of Science (PLoS) |
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| 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. |
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| AbstractList | 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. 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. 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 [greater than or equal to] 5.11 and lactate dehydrogenase (LDH) concentration [greater than or equal to] 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. |
| Audience | Academic |
| Author | Oba, Taro Takamori, Shinkichi Haratake, Naoki Shimokawa, Mototsugu Mori, Masaki Oku, Yuka Ono, Yuki Wakasu, Sho Tagawa, Tetsuzo Tanaka, Kensuke Oda, Yoshinao Akamine, Takaki Osoegawa, Atsushi Takada, Kazuki Kinoshita, Fumihiko Takenoyama, Mitsuhiro Matsubara, Taichi |
| AuthorAffiliation | 5 Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan Weill Cornell Medical College in Qatar, QATAR 4 Department of Biostatistics, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan 2 Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Minami-ku, Fukuoka, Japan 3 Department of Surgery, Saiseikai Fukuoka General Hospital, Chuo-ku, Fukuoka, Japan 1 Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan |
| AuthorAffiliation_xml | – name: 5 Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan – name: 1 Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan – name: 4 Department of Biostatistics, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan – name: 2 Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Minami-ku, Fukuoka, Japan – name: 3 Department of Surgery, Saiseikai Fukuoka General Hospital, Chuo-ku, Fukuoka, Japan – name: Weill Cornell Medical College in Qatar, QATAR |
| Author_xml | – sequence: 1 givenname: Kazuki orcidid: 0000-0001-6377-9291 surname: Takada fullname: Takada, Kazuki organization: Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan – sequence: 2 givenname: Shinkichi orcidid: 0000-0001-8175-6798 surname: Takamori fullname: Takamori, Shinkichi organization: Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Minami-ku, Fukuoka, Japan – sequence: 3 givenname: Taichi surname: Matsubara fullname: Matsubara, Taichi organization: Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Minami-ku, Fukuoka, Japan – sequence: 4 givenname: Naoki surname: Haratake fullname: Haratake, Naoki organization: Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Minami-ku, Fukuoka, Japan – sequence: 5 givenname: Takaki surname: Akamine fullname: Akamine, Takaki organization: Department of Surgery, Saiseikai Fukuoka General Hospital, Chuo-ku, Fukuoka, Japan – sequence: 6 givenname: Fumihiko surname: Kinoshita fullname: Kinoshita, Fumihiko organization: Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan – sequence: 7 givenname: Yuki surname: Ono fullname: Ono, Yuki organization: Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan – sequence: 8 givenname: Sho surname: Wakasu fullname: Wakasu, Sho organization: Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan – sequence: 9 givenname: Kensuke surname: Tanaka fullname: Tanaka, Kensuke organization: Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan – sequence: 10 givenname: Yuka surname: Oku fullname: Oku, Yuka organization: Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan – sequence: 11 givenname: Taro surname: Oba fullname: Oba, Taro organization: Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan – sequence: 12 givenname: Atsushi surname: Osoegawa fullname: Osoegawa, Atsushi organization: Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan – sequence: 13 givenname: Tetsuzo surname: Tagawa fullname: Tagawa, Tetsuzo organization: Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan – sequence: 14 givenname: Mitsuhiro surname: Takenoyama fullname: Takenoyama, Mitsuhiro organization: Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Minami-ku, Fukuoka, Japan – sequence: 15 givenname: Mototsugu orcidid: 0000-0001-8140-4565 surname: Shimokawa fullname: Shimokawa, Mototsugu organization: Department of Biostatistics, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan – sequence: 16 givenname: Yoshinao surname: Oda fullname: Oda, Yoshinao organization: Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan – sequence: 17 givenname: Masaki surname: Mori fullname: Mori, Masaki organization: Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33137158$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_3389_fonc_2021_691002 crossref_primary_10_3390_cancers15061854 crossref_primary_10_2147_JPR_S368295 crossref_primary_10_1016_j_critrevonc_2024_104378 crossref_primary_10_32322_jhsm_1242687 crossref_primary_10_1111_1759_7714_14630 crossref_primary_10_1155_2022_6837872 crossref_primary_10_1016_j_lungcan_2022_07_001 |
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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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