Prospective observational study of nutritional/immunologic indices as predictive biomarkers for the response to anti-PD-1 drugs in non-small cell lung cancer (ICI-PREDICT study)

Abstract

Immune checkpoint inhibitors (ICIs) targeting programmed cell death-1 (PD-1) and programmed cell death-ligand 1 (PD-L1) have markedly improved the prognosis of many patients with advanced non-small cell lung cancer (NSCLC). However, the relationship between the patient’s nutritional/immunologic status and the outcomes of ICI treatment remains unclear. In previous retrospective studies, we reported that the controlling nutritional status (CONUT) score, skeletal muscle area, and neutrophil-to-lymphocyte ratio were independent predictors of the response of NSCLC patients to anti-PD-1 drugs. The aim of this prospective multi-center study is to investigate the clinical impact of pre-treatment nutritional/immunologic indices and early post-treatment changes in the indices on treatment outcomes in advanced NSCLC. The main inclusion criteria are: (1) stage IV NSCLC, or stage III NSCLC not applicable for definitive chemoradiotherapy; (2) treatment with ICIs (monotherapy or combined with chemotherapy) as first-line therapy; and (3) available data on PD-L1 expression on tumor cells. A total of 300 patients will be enrolled prospectively. Enrollment will begin in 2020 and the final analyses will be completed by 2025.

About the Authors:

Shinkichi Takamori

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Writing – original draft

Affiliation: Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Notame, Minami-ku, Fukuoka, Japan

ORCID logo https://orcid.org/0000-0001-8175-6798

Taro Ohba

Roles Conceptualization

Affiliation: Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Maidashi, Higashi-ku, Fukuoka, Japan

Mototsugu Shimokawa

Roles Formal analysis

Affiliation: Department of Biostatistics, Yamaguchi University Graduate School of Medicine, Minamiogushi, Ube-shi, Yamaguchi, Japan

Taichi Matsubara

Roles Data curation

Affiliation: Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Notame, Minami-ku, Fukuoka, Japan

Naoki Haratake

Roles Data curation

Affiliation: Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Notame, Minami-ku, Fukuoka, Japan

Naoko Miura

Roles Methodology

Affiliation: Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Notame, Minami-ku, Fukuoka, Japan

Ryo Toyozawa

Roles Data curation

Affiliation: Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Notame, Minami-ku, Fukuoka, Japan

Masafumi Yamaguchi

Roles Supervision

Affiliation: Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Notame, Minami-ku, Fukuoka, Japan

Takashi Seto

Roles Investigation

Affiliation: Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Notame, Minami-ku, Fukuoka, Japan

Mitsuhiro Takenoyama

Roles Writing – review & editing

* E-mail: [email protected]

Affiliation: Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Notame, Minami-ku, Fukuoka, Japan

Introduction

Lung cancer, of which non-small cell lung cancer (NSCLC) accounts for 85–90% of cases, is the deadliest cancer worldwide [1]. The recent development of immune checkpoint inhibitors (ICIs) targeting programmed cell death-1 (PD-1) and programmed cell death-ligand 1 (PD-L1) has contributed to improvements in the prognosis of many patients with advanced NSCLC [2, 3]. In a trial of the anti-PD-1 antibody pembrolizumab [3], subgroup analysis indicated that PD-L1 expression on tumor cells is a potential predictive factor of the response to anti-PD-1 antibodies [4]. However, the relationship between responses to ICIs and key host factors, such as nutritional and immunologic statuses, has not been fully investigated.

Several measures have been used as nutritional indices in retrospective studies, including the controlling nutritional status (CONUT) score, which is based on peripheral lymphocyte counts and serum albumin and cholesterol concentrations, and skeletal muscle area measured by computed tomography (CT) or other imaging modalities [5–7]. In our previous single center retrospective study of NSCLC patients receiving pembrolizumab, patients with poor nutritional status, defined as a CONUT score of ≥3, had significantly shorter progression-free survival and overall survival compared with patients with good nutritional status (for disease progression or death: hazard ratio [HR] 0.33, 95% confidence interval [CI] 0.10–0.97; for death: HR 0.15, 95% CI 0.02–0.73) [8]. In that analysis, the CONUT score was an independent predictive factor for response to pembrolizumab. A preliminary study of NSCLC patients receiving ICIs showed that patients with low skeletal muscle areas had a lower overall response rate (9.1% vs. 40.0%) and 1-year progression-free survival rate (10.1% vs. 38.1%) compared with patients with normal skeletal muscle areas [9]. In addition to the nutritional indices, a recent meta-analysis has shown that the pre-treatment neutrophil-to-lymphocyte ratio is a candidate predictive factor for the efficacy of ICIs in cancer patients [10]. In our study of pembrolizumab, we found that neutrophil-to-lymphocyte ratio was an independent predictive factor for overall survival (HR 0.25, 95% CI 0.05–0.98) in patients with advanced NSCLC [8]. Thus, the clinical implications of pre-treatment nutritional/immunological statuses in NSCLC patients receiving ICIs has attracted great attention. However, these findings remain to be validated in prospective and/or multi-center studies with larger sample sizes. The aim of this prospective study is to investigate the clinical impact of pre-treatment nutritional/immunologic indices on the outcomes of patients with advanced NSCLC who are treated with ICIs. The relationship between early post-treatment changes in nutritional/immunologic indices and outcomes will also be analyzed in the study.

Methods

Study design

This is a prospective multi-center observational study of patients with advanced NSCLC. The nutritional/immunologic indices, which include CONUT score, skeletal muscle area, and neutrophil-to-lymphocyte ratio will be measured before treatment initiation, twice after treatment initiation (first and second response evaluations) to determine the clinical implications of changes observed in the early post-treatment phase, and a fourth time at the end of first-line treatment. The study design is shown in Fig 1. The protocol has been approved by National Hospital Organization Central Review Board.

[Figure omitted. See PDF.]

Fig 1. Study design.

https://doi.org/10.1371/journal.pone.0258616.g001

Study population

All patients who satisfy the inclusion and exclusion criteria (Table 1) will be included. In brief, NSCLC patients (i) with stage IV disease or with stage III disease not applicable for definitive chemoradiotherapy, (ii) who receive ICIs (monotherapy or combined with chemotherapy) as first-line therapy, and (iii) available data on PD-L1 expression on tumor cells will be included. Patients who harbor any oncogene mutations, have other synchronous cancers, have a history of cancer immunotherapy, or who are considered to be unsuitable for enrollment in the investigator’s judgment, will be excluded. We are planning to recruit participant hospitals in all parts of Japan from National Hospital Organization. Each hospital will recruit eligible participants. A sample size and power calculation before study initiation was not performed because this is an exploratory observational study for deciding the appropriate cut-off value of the nutritional/immunologic indices. A total of 300 patients will be enrolled prospectively over 2 years.

[Figure omitted. See PDF.]

Table 1. Key patient eligibility criteria.

https://doi.org/10.1371/journal.pone.0258616.t001

PD-L1 expression

PD-L1 expression on tumor cells will be analyzed by immunohistochemistry using one of several anti-PD-L1 antibodies, including clones 22C3, 28–8, SP142, and SP263 [11]. Of note, one of the inclusion criteria for this study is “available data on PD-L1 expression on tumor cells (tumor proportion score),” which will allow us to compare the clinical significance of the patient’s nutritional/immunologic status with that of tumor PD-L1 expression.

Evaluation of nutritional/immunologic indices

The CONUT score is defined as shown in Table 2 [6]. We are planning to categorize the CONUT score into high CONUT vs. low CONUT groups. The time-dependent receiver operating characteristic (ROC) curve for the prediction of progression-free survival will be used when we set the cut-off value of CONUT score. In addition, we are going to categorize the changes in nutritional/immunologic indices into “deteriorated group” and “improved group.” When we set the cut-off value, the time-dependent ROC curve for the prediction of progression-free survival will be used. The skeletal muscle area will be measured by CT with OsiriX® software (version 5.8; Geneva, Switzerland) using Hounsfield Units with a threshold from −29 to +150 [12]. The following muscles at the L3 level will be included in the skeletal muscle area assessment: psoas, erector spinae, quadratus lumborum, transversus abdominis, external and internal obliques, and rectus abdominis [12]. The skeletal muscle area will be normalized by dividing the cross-sectional areas (cm2) at the L3 level by the height squared (m2). The neutrophil-to-lymphocyte ratio will be calculated as the ratio of neutrophil to lymphocyte counts, as measured by standard procedures.

[Figure omitted. See PDF.]

Table 2. Assessment of patient nutritional status by the CONUT score.

https://doi.org/10.1371/journal.pone.0258616.t002

Statistical analysis

The relationship between the patient’s nutritional/immunologic status and the clinical factors will be analyzed using a Student’s t test, Pearson’s χ2 test, and Fisher’s exact test where appropriate. Responses to anti-PD-1 agents will be determined according to the Response Evaluation Criteria in Solid Tumors (version 1.1). The overall survival will be defined as the time (in months) from the first day of immunotherapy until death from any cause. The progression-free survival will be defined as the time (in months) from the first day of treatment until progression. The Kaplan–Meier method will be used to estimate survival probabilities, and differences will be analyzed using the log-rank test. Univariate and multivariable analyses will be conducted with the log-rank test and a proportional hazards model. In multivariable logistic analysis, the backward elimination method will be used. In brief, the model will be run with all the variables, and one variable with the highest P value will be excluded. The model will be run again with the other variables, and one variable with the highest P value will be excluded repeatedly to retain only those with P < 0.05. Cox proportional hazard regression models will be used to calculate hazard ratios for positive risk factors with a similar backward elimination method. The “timeROC” R package (https://cran.r-project.org/web/packages/timeROC/index.html) will be used to compare the area under the curve of ROC curves for the prediction of progression-free and overall survivals for each nutritional/immunologic status. We are planning to adjust for age, sex, smoking status, disease severity (advanced disease vs. recurrent disease), and performance status in the analyses. P values <0.05 will be considered statistically significant. All statistical analyses will be performed using JMP software version 14.0 (SAS Institute Inc., Cary, NC, USA).

Ethical considerations

Written informed consent will be obtained from all patients before any inclusion procedures. The study will be conducted according to the principles of the Declaration of Helsinki. The protocol has been approved by National Hospital Organization Central Review Board.

Discussion and conclusion

Little is known about the relationship between pre-treatment and early post-treatment changes in the nutritional/immunologic status and clinical outcomes in patients with advanced NSCLC receiving ICIs. We hope that this prospective multi-center study will shed light on the clinical implications, including prognosis, of the nutritional/immunologic status for this patient population.

Acknowledgments

We thank Anne M. O’Rourke, PhD, from Edanz Group (www.edanzediting.com/ac) for editing a draft of this manuscript.

Citation: Takamori S, Ohba T, Shimokawa M, Matsubara T, Haratake N, Miura N, et al. (2021) Prospective observational study of nutritional/immunologic indices as predictive biomarkers for the response to anti-PD-1 drugs in non-small cell lung cancer (ICI-PREDICT study). PLoS ONE 16(10): e0258616. https://doi.org/10.1371/journal.pone.0258616

References

1. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015;65(2):87–108. pmid:25651787.

2. Fehrenbacher L, Spira A, Ballinger M, Kowanetz M, Vansteenkiste J, Mazieres J, et al. Atezolizumab versus docetaxel for patients with previously treated non-small-cell lung cancer (POPLAR): a multicentre, open-label, phase 2 randomised controlled trial. Lancet (London, England). 2016;387(10030):1837–46. Epub 2016/03/14. pmid:26970723.

3. Reck M, Rodriguez-Abreu D, Robinson AG, Hui R, Csoszi T, Fulop A, et al. Pembrolizumab versus Chemotherapy for PD-L1-Positive Non-Small-Cell Lung Cancer. N Engl J Med. 2016;375(19):1823–33. Epub 2016/10/11. pmid:27718847.

4. Takada K, Toyokawa G, Shoji F, Okamoto T, Maehara Y. The Significance of the PD-L1 Expression in Non-Small-Cell Lung Cancer: Trenchant Double Swords as Predictive and Prognostic Markers. Clinical lung cancer. 2018;19(2):120–9. Epub 2017/11/21. pmid:29153898.

5. Takamori S, Toyokawa G, Okamoto T, Shimokawa M, Kinoshita F, Kozuma Y, et al. Clinical Impact and Risk Factors for Skeletal Muscle Loss After Complete Resection of Early Non-small Cell Lung Cancer. Annals of surgical oncology. 2018;25(5):1229–36. Epub 2018/01/13. pmid:29327178.

6. Takamori S, Toyokawa G, Taguchi K, Edagawa M, Shimamatsu S, Toyozawa R, et al. The Controlling Nutritional Status Score Is a Significant Independent Predictor of Poor Prognosis in Patients With Malignant Pleural Mesothelioma. Clinical lung cancer. 2017;18(4):e303–e13. Epub 2017/03/10. pmid:28274690.

7. Takamori S, Toyokawa G, Shimokawa M, Kinoshita F, Kozuma Y, Matsubara T, et al. A novel prognostic marker in patients with non-small cell lung cancer: musculo-immuno-nutritional score calculated by controlling nutritional status and creatine kinase. Journal of Thoracic Disease. 2019;11(3):927–35. pmid:31019782

8. Ohba T, Takamori S, Toyozawa R, Nosaki K, Umeyama Y, Haratake N, et al. Prognostic impact of the Controlling Nutritional Status score in patients with non-small cell lung cancer treated with pembrolizumab. Journal of Thoracic Disease. 2019;11(9):3757–68. pmid:31656648

9. Shiroyama T, Nagatomo I, Koyama S, Hirata H, Nishida S, Miyake K, et al. Impact of sarcopenia in patients with advanced non-small cell lung cancer treated with PD-1 inhibitors: A preliminary retrospective study. Sci Rep. 2019;9(1):2447. Epub 2019/02/23. pmid:30792455.

10. Jiang T, Qiao M, Zhao C, Li X, Gao G, Su C, et al. Pretreatment neutrophil-to-lymphocyte ratio is associated with outcome of advanced-stage cancer patients treated with immunotherapy: a meta-analysis. Cancer Immunol Immunother. 2018;67(5):713–27. Epub 2018/02/10. pmid:29423649.

11. Hirsch FR, McElhinny A, Stanforth D, Ranger-Moore J, Jansson M, Kulangara K, et al. PD-L1 Immunohistochemistry Assays for Lung Cancer: Results from Phase 1 of the Blueprint PD-L1 IHC Assay Comparison Project. J Thorac Oncol. 2017;12(2):208–22. Epub 2016/12/04. pmid:27913228.

12. Prado CM, Lieffers JR, McCargar LJ, Reiman T, Sawyer MB, Martin L, et al. Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. The Lancet Oncology. 2008;9(7):629–35. Epub 2008/06/10. pmid:18539529.