The CANLPH Score, an Integrative Model of Systemic Inflammation and Nutrition Status (SINS), Predicts Clinical Outcomes After Surgery in Renal Cell Carcinoma: Data From a Multicenter Cohort in Japan

Kazumasa Komura, Takeshi Hashimoto, Takuya Tsujino, Ryu Muraoka, Takeshi Tsutsumi, Naoya Satake, Tomohisa Matsunaga, Yuki Yoshikawa, Tomoaki Takai, Koichiro Minami, Kohei Taniguchi, Hirofumi Uehara, Tomohito Tanaka, Hajime Hirano, Hayahito Nomi, Naokazu Ibuki, Kiyoshi Takahara, Teruo Inamoto, Yoshio Ohno, Haruhito Azuma

Research output: Contribution to journalArticle

Abstract

Background: A myriad of studies have demonstrated the clinical association of systemic inflammatory and nutrition status (SINS) including C-reactive protein/albumin ratio (CAR), the neutrophil/lymphocyte ratio (NLR), and the platelet/hemoglobin ratio (PHR). This study aimed to investigate the predictive value of the score integrating these variables (CANLPH) in patients with renal cell carcinoma (RCC). Methods: Using cohort data from a multi-institutional study, 757 of 1109 patients were retrospectively analyzed. The optimal cutoff value for outcome prediction of continuous variables in CAR, NLR, and PHR was determined and the CANLPH score was then calculated as the sum score of 0 or 1 by the cutoff value in each ratio. Results: The median follow-up time was 76 months for the patients who survived (n = 585) and 31 months for those who died (n = 172). The Youden Index offered an optimal cutoff of 1.5 for CAR and 2.8 for NLR, and a higher value from the cutoff was assigned as a score of 1. The cutoff value of the PHR was defined as 2.1 for males and 2.3 for females. The patients were assigned a CANLPH score of 0 (47.2%), 1 (31.3%), 2 (13.1%), or 3 (8.5%). In the multivariate analysis, the CANLPH score served as an independent predictor of cancer-specific mortality in both localized and metastatic RCC. Conclusion: The score was well-correlated with clinical outcome for the RCC patients. Because this score can be concisely measured at the point of diagnosis, physicians may be encouraged to incorporate this model into the treatment for RCC.

Original languageEnglish
Pages (from-to)2994-3004
Number of pages11
JournalAnnals of Surgical Oncology
Volume26
Issue number9
DOIs
Publication statusPublished - 15-09-2019

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Nutritional Status
Renal Cell Carcinoma
Japan
Inflammation
C-Reactive Protein
Albumins
Hemoglobins
Neutrophils
Blood Platelets
Lymphocytes
Multivariate Analysis
Physicians
Mortality
Neoplasms
Therapeutics

All Science Journal Classification (ASJC) codes

  • Surgery
  • Oncology

Cite this

Komura, Kazumasa ; Hashimoto, Takeshi ; Tsujino, Takuya ; Muraoka, Ryu ; Tsutsumi, Takeshi ; Satake, Naoya ; Matsunaga, Tomohisa ; Yoshikawa, Yuki ; Takai, Tomoaki ; Minami, Koichiro ; Taniguchi, Kohei ; Uehara, Hirofumi ; Tanaka, Tomohito ; Hirano, Hajime ; Nomi, Hayahito ; Ibuki, Naokazu ; Takahara, Kiyoshi ; Inamoto, Teruo ; Ohno, Yoshio ; Azuma, Haruhito. / The CANLPH Score, an Integrative Model of Systemic Inflammation and Nutrition Status (SINS), Predicts Clinical Outcomes After Surgery in Renal Cell Carcinoma : Data From a Multicenter Cohort in Japan. In: Annals of Surgical Oncology. 2019 ; Vol. 26, No. 9. pp. 2994-3004.
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title = "The CANLPH Score, an Integrative Model of Systemic Inflammation and Nutrition Status (SINS), Predicts Clinical Outcomes After Surgery in Renal Cell Carcinoma: Data From a Multicenter Cohort in Japan",
abstract = "Background: A myriad of studies have demonstrated the clinical association of systemic inflammatory and nutrition status (SINS) including C-reactive protein/albumin ratio (CAR), the neutrophil/lymphocyte ratio (NLR), and the platelet/hemoglobin ratio (PHR). This study aimed to investigate the predictive value of the score integrating these variables (CANLPH) in patients with renal cell carcinoma (RCC). Methods: Using cohort data from a multi-institutional study, 757 of 1109 patients were retrospectively analyzed. The optimal cutoff value for outcome prediction of continuous variables in CAR, NLR, and PHR was determined and the CANLPH score was then calculated as the sum score of 0 or 1 by the cutoff value in each ratio. Results: The median follow-up time was 76 months for the patients who survived (n = 585) and 31 months for those who died (n = 172). The Youden Index offered an optimal cutoff of 1.5 for CAR and 2.8 for NLR, and a higher value from the cutoff was assigned as a score of 1. The cutoff value of the PHR was defined as 2.1 for males and 2.3 for females. The patients were assigned a CANLPH score of 0 (47.2{\%}), 1 (31.3{\%}), 2 (13.1{\%}), or 3 (8.5{\%}). In the multivariate analysis, the CANLPH score served as an independent predictor of cancer-specific mortality in both localized and metastatic RCC. Conclusion: The score was well-correlated with clinical outcome for the RCC patients. Because this score can be concisely measured at the point of diagnosis, physicians may be encouraged to incorporate this model into the treatment for RCC.",
author = "Kazumasa Komura and Takeshi Hashimoto and Takuya Tsujino and Ryu Muraoka and Takeshi Tsutsumi and Naoya Satake and Tomohisa Matsunaga and Yuki Yoshikawa and Tomoaki Takai and Koichiro Minami and Kohei Taniguchi and Hirofumi Uehara and Tomohito Tanaka and Hajime Hirano and Hayahito Nomi and Naokazu Ibuki and Kiyoshi Takahara and Teruo Inamoto and Yoshio Ohno and Haruhito Azuma",
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Komura, K, Hashimoto, T, Tsujino, T, Muraoka, R, Tsutsumi, T, Satake, N, Matsunaga, T, Yoshikawa, Y, Takai, T, Minami, K, Taniguchi, K, Uehara, H, Tanaka, T, Hirano, H, Nomi, H, Ibuki, N, Takahara, K, Inamoto, T, Ohno, Y & Azuma, H 2019, 'The CANLPH Score, an Integrative Model of Systemic Inflammation and Nutrition Status (SINS), Predicts Clinical Outcomes After Surgery in Renal Cell Carcinoma: Data From a Multicenter Cohort in Japan', Annals of Surgical Oncology, vol. 26, no. 9, pp. 2994-3004. https://doi.org/10.1245/s10434-019-07530-5

The CANLPH Score, an Integrative Model of Systemic Inflammation and Nutrition Status (SINS), Predicts Clinical Outcomes After Surgery in Renal Cell Carcinoma : Data From a Multicenter Cohort in Japan. / Komura, Kazumasa; Hashimoto, Takeshi; Tsujino, Takuya; Muraoka, Ryu; Tsutsumi, Takeshi; Satake, Naoya; Matsunaga, Tomohisa; Yoshikawa, Yuki; Takai, Tomoaki; Minami, Koichiro; Taniguchi, Kohei; Uehara, Hirofumi; Tanaka, Tomohito; Hirano, Hajime; Nomi, Hayahito; Ibuki, Naokazu; Takahara, Kiyoshi; Inamoto, Teruo; Ohno, Yoshio; Azuma, Haruhito.

In: Annals of Surgical Oncology, Vol. 26, No. 9, 15.09.2019, p. 2994-3004.

Research output: Contribution to journalArticle

TY - JOUR

T1 - The CANLPH Score, an Integrative Model of Systemic Inflammation and Nutrition Status (SINS), Predicts Clinical Outcomes After Surgery in Renal Cell Carcinoma

T2 - Data From a Multicenter Cohort in Japan

AU - Komura, Kazumasa

AU - Hashimoto, Takeshi

AU - Tsujino, Takuya

AU - Muraoka, Ryu

AU - Tsutsumi, Takeshi

AU - Satake, Naoya

AU - Matsunaga, Tomohisa

AU - Yoshikawa, Yuki

AU - Takai, Tomoaki

AU - Minami, Koichiro

AU - Taniguchi, Kohei

AU - Uehara, Hirofumi

AU - Tanaka, Tomohito

AU - Hirano, Hajime

AU - Nomi, Hayahito

AU - Ibuki, Naokazu

AU - Takahara, Kiyoshi

AU - Inamoto, Teruo

AU - Ohno, Yoshio

AU - Azuma, Haruhito

PY - 2019/9/15

Y1 - 2019/9/15

N2 - Background: A myriad of studies have demonstrated the clinical association of systemic inflammatory and nutrition status (SINS) including C-reactive protein/albumin ratio (CAR), the neutrophil/lymphocyte ratio (NLR), and the platelet/hemoglobin ratio (PHR). This study aimed to investigate the predictive value of the score integrating these variables (CANLPH) in patients with renal cell carcinoma (RCC). Methods: Using cohort data from a multi-institutional study, 757 of 1109 patients were retrospectively analyzed. The optimal cutoff value for outcome prediction of continuous variables in CAR, NLR, and PHR was determined and the CANLPH score was then calculated as the sum score of 0 or 1 by the cutoff value in each ratio. Results: The median follow-up time was 76 months for the patients who survived (n = 585) and 31 months for those who died (n = 172). The Youden Index offered an optimal cutoff of 1.5 for CAR and 2.8 for NLR, and a higher value from the cutoff was assigned as a score of 1. The cutoff value of the PHR was defined as 2.1 for males and 2.3 for females. The patients were assigned a CANLPH score of 0 (47.2%), 1 (31.3%), 2 (13.1%), or 3 (8.5%). In the multivariate analysis, the CANLPH score served as an independent predictor of cancer-specific mortality in both localized and metastatic RCC. Conclusion: The score was well-correlated with clinical outcome for the RCC patients. Because this score can be concisely measured at the point of diagnosis, physicians may be encouraged to incorporate this model into the treatment for RCC.

AB - Background: A myriad of studies have demonstrated the clinical association of systemic inflammatory and nutrition status (SINS) including C-reactive protein/albumin ratio (CAR), the neutrophil/lymphocyte ratio (NLR), and the platelet/hemoglobin ratio (PHR). This study aimed to investigate the predictive value of the score integrating these variables (CANLPH) in patients with renal cell carcinoma (RCC). Methods: Using cohort data from a multi-institutional study, 757 of 1109 patients were retrospectively analyzed. The optimal cutoff value for outcome prediction of continuous variables in CAR, NLR, and PHR was determined and the CANLPH score was then calculated as the sum score of 0 or 1 by the cutoff value in each ratio. Results: The median follow-up time was 76 months for the patients who survived (n = 585) and 31 months for those who died (n = 172). The Youden Index offered an optimal cutoff of 1.5 for CAR and 2.8 for NLR, and a higher value from the cutoff was assigned as a score of 1. The cutoff value of the PHR was defined as 2.1 for males and 2.3 for females. The patients were assigned a CANLPH score of 0 (47.2%), 1 (31.3%), 2 (13.1%), or 3 (8.5%). In the multivariate analysis, the CANLPH score served as an independent predictor of cancer-specific mortality in both localized and metastatic RCC. Conclusion: The score was well-correlated with clinical outcome for the RCC patients. Because this score can be concisely measured at the point of diagnosis, physicians may be encouraged to incorporate this model into the treatment for RCC.

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U2 - 10.1245/s10434-019-07530-5

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EP - 3004

JO - Annals of Surgical Oncology

JF - Annals of Surgical Oncology

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