Baseline Tumor Size as a Predictive and Prognostic Factor of Immune Checkpoint Inhibitor Therapy for Non-small Cell Lung Cancer.


Journal

Anticancer research
ISSN: 1791-7530
Titre abrégé: Anticancer Res
Pays: Greece
ID NLM: 8102988

Informations de publication

Date de publication:
Feb 2019
Historique:
received: 19 12 2018
revised: 05 01 2019
accepted: 07 01 2019
entrez: 4 2 2019
pubmed: 4 2 2019
medline: 21 3 2019
Statut: ppublish

Résumé

Immune checkpoint inhibitors (ICI) are a novel medication for non-small cell lung cancer (NSCLC). Recent reports indicated that baseline tumor size (BTS) relates to the efficacy of ICI therapy for melanoma, but no study exists for NSCLC. This study aimed to evaluate the utility of BTS for ICI therapy. Data from 58 patients diagnosed with NSCLC who underwent ICI monotherapy, were retrospectively analyzed. Patients were divided into two groups according to BTS (below 101 mm, above 101 mm). The primary endpoint was progression-free survival (PFS) and the secondary endpoint was overall survival (OS). PFS of patients with a large BTS was significantly shorter than that of those with a small BTS (median; 2.07 [95% confidence interval [CI]=0.99-6.77] months versus 6.39 [95%CI=4.17-11.50] months) (p=0.044). OS of patients with large BTS was also significantly shorter (p<0.01). BTS is a predictive and prognostic negative factor of ICI therapy for NSCLC.

Sections du résumé

BACKGROUND/AIM OBJECTIVE
Immune checkpoint inhibitors (ICI) are a novel medication for non-small cell lung cancer (NSCLC). Recent reports indicated that baseline tumor size (BTS) relates to the efficacy of ICI therapy for melanoma, but no study exists for NSCLC. This study aimed to evaluate the utility of BTS for ICI therapy.
PATIENTS AND METHODS METHODS
Data from 58 patients diagnosed with NSCLC who underwent ICI monotherapy, were retrospectively analyzed. Patients were divided into two groups according to BTS (below 101 mm, above 101 mm). The primary endpoint was progression-free survival (PFS) and the secondary endpoint was overall survival (OS).
RESULTS RESULTS
PFS of patients with a large BTS was significantly shorter than that of those with a small BTS (median; 2.07 [95% confidence interval [CI]=0.99-6.77] months versus 6.39 [95%CI=4.17-11.50] months) (p=0.044). OS of patients with large BTS was also significantly shorter (p<0.01).
CONCLUSION CONCLUSIONS
BTS is a predictive and prognostic negative factor of ICI therapy for NSCLC.

Identifiants

pubmed: 30711962
pii: 39/2/815
doi: 10.21873/anticanres.13180
doi:

Substances chimiques

Antibodies, Monoclonal 0
Antibodies, Monoclonal, Humanized 0
Antineoplastic Agents, Immunological 0
Biomarkers, Tumor 0
durvalumab 28X28X9OKV
Nivolumab 31YO63LBSN
atezolizumab 52CMI0WC3Y
pembrolizumab DPT0O3T46P

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

815-825

Informations de copyright

Copyright© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Auteurs

Masahiro Katsurada (M)

Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.

Tatsuya Nagano (T)

Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan tnagano@med.kobe-u.ac.jp.

Motoko Tachihara (M)

Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.

Tatsunori Kiriu (T)

Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.

Koichi Furukawa (K)

Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.

Kiyoko Koyama (K)

Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.

Takehiro Otoshi (T)

Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.

Reina Sekiya (R)

Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.

Daisuke Hazama (D)

Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.

Daisuke Tamura (D)

Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.

Kyosuke Nakata (K)

Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.

Naoko Katsurada (N)

Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.

Masatsugu Yamamoto (M)

Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.

Kazuyuki Kobayashi (K)

Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.

Yoshihiro Nishimura (Y)

Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.

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Classifications MeSH