The lymphocyte-to-monocyte ratio as a significant inflammatory marker associated with survival of patients with metastatic renal cell carcinoma treated using nivolumab plus ipilimumab therapy.

Ipilimumab Lymphocyte–monocyte ratio Nivolumab Renal cell carcinoma Survival rate

Journal

International journal of clinical oncology
ISSN: 1437-7772
Titre abrégé: Int J Clin Oncol
Pays: Japan
ID NLM: 9616295

Informations de publication

Date de publication:
26 May 2024
Historique:
received: 03 02 2024
accepted: 14 04 2024
medline: 27 5 2024
pubmed: 27 5 2024
entrez: 26 5 2024
Statut: aheadofprint

Résumé

Nivolumab plus ipilimumab (NIVO + IPI) is the first-line treatment for patients with metastatic renal cell carcinoma (mRCC). While approximately 40% of patients treated with NIVO + IPI achieve a durable response, 20% develop primary resistance with severe consequences. Therefore, there is a clinical need for criteria to select patients suitable for NIVO + IPI therapy to optimize its therapeutic efficacy. Accordingly, our aim was to evaluate the association between candidate biomarkers measured before treatment initiation and survival. This was a multi-institutional, retrospective, cohort study of 183 patients with mRCC treated with systematic therapies between August 2015 and July 2023. Of these, 112 received NIVO + IPI as first-line therapy: mean age, 68 years; men, 83.0% (n = 93), and clear cell histology, 80.4% (n = 90). Univariable and multivariable analyses were used to evaluate associations between biomarkers and survival. On univariate analysis, high C-reactive protein and systemic index, a high neutrophil-to-lymphocyte and platelet-to-lymphocyte ratio, and a low lymphocyte-to-monocyte ratio (LMR) were associated with shorter overall survival (OS). On multivariable analysis, a LMR ≤ 3 was retained as an independent factor associated to shorter OS with the highest accuracy (C-index, 0.656; hazard ratio, 7.042; 95% confidence interval, 2.0-25.0; p = 0.002). A low LMR may identify patients who would be candidate for NIVO + IPI therapy for mRCC.

Sections du résumé

BACKGROUND BACKGROUND
Nivolumab plus ipilimumab (NIVO + IPI) is the first-line treatment for patients with metastatic renal cell carcinoma (mRCC). While approximately 40% of patients treated with NIVO + IPI achieve a durable response, 20% develop primary resistance with severe consequences. Therefore, there is a clinical need for criteria to select patients suitable for NIVO + IPI therapy to optimize its therapeutic efficacy. Accordingly, our aim was to evaluate the association between candidate biomarkers measured before treatment initiation and survival.
METHODS METHODS
This was a multi-institutional, retrospective, cohort study of 183 patients with mRCC treated with systematic therapies between August 2015 and July 2023. Of these, 112 received NIVO + IPI as first-line therapy: mean age, 68 years; men, 83.0% (n = 93), and clear cell histology, 80.4% (n = 90). Univariable and multivariable analyses were used to evaluate associations between biomarkers and survival.
RESULTS RESULTS
On univariate analysis, high C-reactive protein and systemic index, a high neutrophil-to-lymphocyte and platelet-to-lymphocyte ratio, and a low lymphocyte-to-monocyte ratio (LMR) were associated with shorter overall survival (OS). On multivariable analysis, a LMR ≤ 3 was retained as an independent factor associated to shorter OS with the highest accuracy (C-index, 0.656; hazard ratio, 7.042; 95% confidence interval, 2.0-25.0; p = 0.002).
CONCLUSION CONCLUSIONS
A low LMR may identify patients who would be candidate for NIVO + IPI therapy for mRCC.

Identifiants

pubmed: 38797782
doi: 10.1007/s10147-024-02538-8
pii: 10.1007/s10147-024-02538-8
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Grant-in-Aid for Scientific Research, Japan
ID : 20K09553

Informations de copyright

© 2024. The Author(s) under exclusive licence to Japan Society of Clinical Oncology.

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Auteurs

Kazuyuki Numakura (K)

Department of Urology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan. nqf38647@nifty.com.

Yuya Sekine (Y)

Department of Urology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.

Takahiro Osawa (T)

Department of Urology, Yamagata University Faculty of Medicine, Yamagata, Japan.

Sei Naito (S)

Department of Renal and Genitourinary Surgery, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.

Ojiro Tokairin (O)

Department of Urology, Yamagata University Faculty of Medicine, Yamagata, Japan.

Yumina Muto (Y)

Department of Urology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.

Ryuta Sobu (R)

Department of Urology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.

Mizuki Kobayashi (M)

Department of Urology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.

Hajime Sasagawa (H)

Department of Urology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.

Ryohei Yamamoto (R)

Department of Urology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.

Taketoshi Nara (T)

Department of Urology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.

Mitsuru Saito (M)

Department of Urology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.

Shintaro Narita (S)

Department of Urology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.

Hideo Akashi (H)

Department of Anatomy, Akita University Graduate School of Medicine, Akita, Japan.

Norihiko Tsuchiya (N)

Department of Renal and Genitourinary Surgery, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.

Nobuo Shinohara (N)

Department of Urology, Yamagata University Faculty of Medicine, Yamagata, Japan.

Tomonori Habuchi (T)

Department of Urology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.

Classifications MeSH