1
|
Nishihara-Kato F, Imai H, Tsuda T, Wasamoto S, Nagai Y, Kishikawa T, Miura Y, Ono A, Yamada Y, Masubuchi K, Osaki T, Nakagawa J, Umeda Y, Minemura H, Kozu Y, Taniguchi H, Ohta H, Kaira K, Kagamu H. Prognostic Potential of the Prognostic Nutritional Index in Non-Small Cell Lung Cancer Patients Receiving Pembrolizumab Combination Therapy with Carboplatin and Paclitaxel/Nab-Paclitaxel. Oncology 2023; 102:30-42. [PMID: 37598676 DOI: 10.1159/000533604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 07/12/2023] [Indexed: 08/22/2023]
Abstract
INTRODUCTION Pembrolizumab (Pemb) therapy in conjunction with carboplatin and paclitaxel (PTX)/nab-PTX has been efficacious in treating non-small cell lung cancer (NSCLC). However, the response predictors of this combination therapy (Pemb-combination) remain undetermined. We aimed to evaluate whether Glasgow prognostic score (GPS), neutrophil-to-lymphocyte ratio (NLR), body mass index (BMI), platelet-to-lymphocyte ratio (PLR), and prognostic nutritional index (PNI) are potential factors in prognosticating the response to Pemb-combination therapy in advanced NSCLC patients. METHODS We retrospectively recruited 144 NSCLC patients receiving first-line treatment with Pemb-combination therapy from 13 institutions between December 1, 2018, and December 31, 2020. GPS, NLR, BMI, PLR, and PNI were assessed for their efficacy as prognostic indicators. Cox proportional hazard models and the Kaplan-Meier method were used to compare the progression-free survival (PFS) and overall survival (OS) of the patients. RESULTS The treatment exhibited a response rate of 63.1% (95% confidence interval [CI]: 55.0-70.6%). Following Pemb-combination administration, the median PFS and OS were 7.3 (95% CI: 5.3-9.4) and 16.5 (95% CI: 13.9-22.1) months, respectively. Contrary to PNI, NLR, GPS, BMI, and PLR did not display substantially different PFS in univariate analysis. However, multivariate analysis did not identify PNI as an independent prognostic factor for PFS. Furthermore, univariate analysis revealed that GPS, BMI, and PLR exhibited similar values for OS but not NLR and PNI. Patients with PNI ≥45 were predicted to have better OS than those with PNI <45 (OS: 23.4 and 13.9 months, respectively, p = 0.0028). Multivariate analysis did not establish NLR as an independent prognostic factor for OS. CONCLUSION The PNI evidently predicted OS in NSCLC patients treated with Pemb-combination as first-line therapy, thereby validating its efficiency as a prognostic indicator of NSCLC.
Collapse
Affiliation(s)
- Fuyumi Nishihara-Kato
- Department of Respiratory Medicine, Comprehensive Cancer Center, International Medical Center, Saitama Medical University, Saitama, Japan
| | - Hisao Imai
- Department of Respiratory Medicine, Comprehensive Cancer Center, International Medical Center, Saitama Medical University, Saitama, Japan
- Division of Respiratory Medicine, Gunma Prefectural Cancer Center, Ota, Japan
| | - Takeshi Tsuda
- Division of Respiratory Medicine, Toyama Prefectural Central Hospital, Toyama, Japan
| | - Satoshi Wasamoto
- Division of Respiratory Medicine, Saku Central Hospital Advanced Care Center, Saku, Japan
| | - Yoshiaki Nagai
- Department of Respiratory Medicine, Jichi Medical University, Saitama Medical Center, Saitama, Japan
| | | | - Yosuke Miura
- Division of Allergy and Respiratory Medicine, Integrative Center of Internal Medicine, Gunma University Hospital, Maebashi, Japan
| | - Akihiro Ono
- Division of Internal Medicine, Kiryu Kosei General Hospital, Kiryu, Japan
| | - Yutaka Yamada
- Division of Respiratory Medicine, Ibaraki Prefectural Central Hospital, Kasama, Japan
| | - Ken Masubuchi
- Division of Respiratory Medicine, Gunma Prefectural Cancer Center, Ota, Japan
| | - Takashi Osaki
- Division of Respiratory Medicine, National Hospital Organization Shibukawa Medical Center, Shibukawa, Japan
| | - Junichi Nakagawa
- Division of Respiratory Medicine, National Hospital Organization Takasaki General Medical Center, Takasaki, Japan
| | - Yukihiro Umeda
- Third Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Hiroyuki Minemura
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Yuki Kozu
- Division of Respiratory Medicine, Saku Central Hospital Advanced Care Center, Saku, Japan
| | - Hirokazu Taniguchi
- Division of Respiratory Medicine, Toyama Prefectural Central Hospital, Toyama, Japan
| | - Hiromitsu Ohta
- Department of Respiratory Medicine, Jichi Medical University, Saitama Medical Center, Saitama, Japan
| | - Kyoichi Kaira
- Department of Respiratory Medicine, Comprehensive Cancer Center, International Medical Center, Saitama Medical University, Saitama, Japan
| | - Hiroshi Kagamu
- Department of Respiratory Medicine, Comprehensive Cancer Center, International Medical Center, Saitama Medical University, Saitama, Japan
| |
Collapse
|
2
|
Ancel J, Dormoy V, Raby BN, Dalstein V, Durlach A, Dewolf M, Gilles C, Polette M, Deslée G. Soluble biomarkers to predict clinical outcomes in non-small cell lung cancer treated by immune checkpoints inhibitors. Front Immunol 2023; 14:1171649. [PMID: 37283751 PMCID: PMC10239865 DOI: 10.3389/fimmu.2023.1171649] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 05/11/2023] [Indexed: 06/08/2023] Open
Abstract
Lung cancer remains the first cause of cancer-related death despite many therapeutic innovations, including immune checkpoint inhibitors (ICI). ICI are now well used in daily practice at late metastatic stages and locally advanced stages after a chemo-radiation. ICI are also emerging in the peri-operative context. However, all patients do not benefit from ICI and even suffer from additional immune side effects. A current challenge remains to identify patients eligible for ICI and benefiting from these drugs. Currently, the prediction of ICI response is only supported by Programmed death-ligand 1 (PD-L1) tumor expression with perfectible results and limitations inherent to tumor-biopsy specimen analysis. Here, we reviewed alternative markers based on liquid biopsy and focused on the most promising biomarkers to modify clinical practice, including non-tumoral blood cell count such as absolute neutrophil counts, platelet to lymphocyte ratio, neutrophil to lymphocyte ratio, and derived neutrophil to lymphocyte ratio. We also discussed soluble-derived immune checkpoint-related products such as sPD-L1, circulating tumor cells (detection, count, and marker expression), and circulating tumor DNA-related products. Finally, we explored perspectives for liquid biopsies in the immune landscape and discussed how they could be implemented into lung cancer management with a potential biological-driven decision.
Collapse
Affiliation(s)
- Julien Ancel
- Inserm UMR-S1250, P3Cell, University of Reims Champagne-Ardenne, SFR CAP-SANTE, Reims, France
- Department of Respiratory Diseases, Centre Hospitalier Universitaire de Reims, Hôpital Maison Blanche, Reims, France
| | - Valérian Dormoy
- Inserm UMR-S1250, P3Cell, University of Reims Champagne-Ardenne, SFR CAP-SANTE, Reims, France
| | - Béatrice Nawrocki Raby
- Inserm UMR-S1250, P3Cell, University of Reims Champagne-Ardenne, SFR CAP-SANTE, Reims, France
| | - Véronique Dalstein
- Inserm UMR-S1250, P3Cell, University of Reims Champagne-Ardenne, SFR CAP-SANTE, Reims, France
- Department of Biopathology, Centre Hospitalier Universitaire de Reims, Hôpital Maison Blanche, Reims, France
| | - Anne Durlach
- Inserm UMR-S1250, P3Cell, University of Reims Champagne-Ardenne, SFR CAP-SANTE, Reims, France
- Department of Biopathology, Centre Hospitalier Universitaire de Reims, Hôpital Maison Blanche, Reims, France
| | - Maxime Dewolf
- Department of Respiratory Diseases, Centre Hospitalier Universitaire de Reims, Hôpital Maison Blanche, Reims, France
| | - Christine Gilles
- Laboratory of Tumor and Development Biology, GIGA-Cancer, University of Liège, Liège, Belgium
| | - Myriam Polette
- Inserm UMR-S1250, P3Cell, University of Reims Champagne-Ardenne, SFR CAP-SANTE, Reims, France
- Department of Biopathology, Centre Hospitalier Universitaire de Reims, Hôpital Maison Blanche, Reims, France
| | - Gaëtan Deslée
- Inserm UMR-S1250, P3Cell, University of Reims Champagne-Ardenne, SFR CAP-SANTE, Reims, France
- Department of Respiratory Diseases, Centre Hospitalier Universitaire de Reims, Hôpital Maison Blanche, Reims, France
| |
Collapse
|