scholarly journals 1520P Effect of molecular targeting agents and immune-checkpoint inhibitors use near the end of life patients with advanced cancer

2020 ◽  
Vol 31 ◽  
pp. S937
Author(s):  
S. Hiramoto ◽  
T. Taniyama ◽  
A. Kikuchi ◽  
T. Hori ◽  
A. Yoshioka ◽  
...  
Keyword(s):  
End Of Life ◽  
Advanced Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Molecular Targeting ◽  
Molecular Targeting Agents

Effects of molecular targeting agents and immune-checkpoint inhibitors in patients with advanced cancer who are near the end of life

2021 ◽  
pp. 1-6
Author(s):  
Shuji Hiramoto ◽  
Tomohiko Taniyama ◽  
Ayako Kikuchi ◽  
Tetsuo Hori ◽  
Akira Yoshioka ◽  
...  
Keyword(s):  
Advanced Cancer ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Cancer Site ◽  
Molecular Targeting ◽  
Primary Cancer ◽  
Related Factors ◽  
Primary Cancer Site ◽  
Ecog Ps ◽  
Molecular Targeting Agents

Abstract Background In recent years, the use of both molecular targeting agents (MTAs) and immune-checkpoint inhibitors (ICIs) tend to occupy important positions in systemic anticancer therapy (SACT). The objective of this study is to describe the predictors of SACT include both MTAs and ICIs near the end of life (EOL) and the effect on EOL care in patients with advanced cancer. Methods We analyzed all patients who died of advanced cancer from August 2016 to August 2019, and we analyzed the survival time of patients who underwent anticancer agents excluded due to the loss of information about the last administration of SACT. The primary endpoint of this study was to identify predictors during the last administration of SACT near EOL. Results In a multivariate analysis, the Eastern Cooperative Oncology Group performance status (ECOG-PS) (ORs 33.781) was significantly related factors within 14 days of death from the last administration of SACT. Age (ORs 0.412), ECOG-PS (ORs 11.533), primary cancer site of upper GI cancers (ORs 2.205), the number of comorbidities (ORs 0.207), MTAs (ORs 3.139), and ICIs (ORs 3.592) were significantly related factors within 30 days of death. The median survival time (MST) of patients with PS 3–4 was 29 days, while that of patients with both PS 0–2 was 76 days. The prevalence rate of delirium with MTAs was 17.5%, which was significantly lower than that of patients without it (31.8%). The prevalence rate of the mean dose of opioids in patients with ICIs was 97.9 mg/day, which was significantly higher than that of patients without it (44.9 mg/day). Conclusions Age, ECOG-PS, primary cancer site, the number of comorbidities, MTAs, and ICIs use were significant associated with SACT near EOL. Information on these factors may aid clinical decision making in referral to palliative care institutes.

Age affects the efficacy of immune checkpoint inhibitors in patients with advanced cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 2638-2638
Author(s):  
Yongjie Wang ◽  
Ronghua Yang ◽  
Dong Wang ◽  
Donghua Zhao ◽  
Peng Li ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Advanced Cancer ◽  
Immune Checkpoint ◽  
Older Patients ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Sign Test ◽  
Patients With Cancer ◽  
The Impact ◽  
Effect Of Age

2638 Background: Immune checkpoint inhibitors (ICIs), such as programmed death(ligand)1 (PD-(L)1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) inhibitors, have dramatic effects on treatment in patients with various malignancies. High tumor mutation burden (TMB) is predictive of clinical response to ICI in multiple cancer types. Although age-related immune dysfunction might induce difference on the efficacy of ICIs between younger and older patients, the potential effect of age on the efficacy of ICIs remains little known and controversial. Herein, we aimed to analysis the association between age and the efficacy of ICIs based on MSKCC cohort. Methods: We screened out 1661 patients having complete information with advanced cancer, whose tumors underwent next-generation sequencing (NGS) detection and who were treated with at least one dose of ICI in MSKCC cohort. All patients were divided into two groups according to age, the younger group (age ≤50-year old) and the older group (age > 50-year old). We further analyzed the differences in overall survival (OS) and TMB between the two groups. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated via Cox regression model for OS and P-values were calculated via the Wilcoxon sign test for TMB. We analyzed the effect of age on ICI in lung cancer using the same way. Results: In 1661 patients with cancer in our study, 312 (19%) younger and 1349 (81%) older patients were found. The pooled HRs for OS was 1.28 (95% CI: 1.09-1.52) in younger group compared with older group. In 1661 patients with cancer, there was 350 (21%) patients with lung cancer, including 30 (9%) younger and 320 (91%) older patients. The pooled HRs for OS was 1.45 (95% CI: 0.95-2.23) in younger group compared with older group in lung cancer. In addition, TMB in older group was higher than in younger group and significant difference of TMB was found via the Wilcoxon sign test (p = 2.6e-10) between the two groups, especially in lung cancer (p = 1e-4). Conclusions: Our study assessed the impact of age on the efficacy of ICIs using the threshold of 50 years old for the first time and we founded that patients in older group had higher TMB and longer OS than younger group.

Immune Checkpoint Inhibitor Use Near the End of Life Is Associated With Poor Performance Status, Lower Hospice Enrollment, and Dying in the Hospital

2019 ◽  
Vol 37 (3) ◽  
pp. 179-184 ◽  
Author(s):  
Chad Glisch ◽  
Yuya Hagiwara ◽  
Stephanie Gilbertson-White ◽  
Yubo Gao ◽  
Laurel Lyckholm
Keyword(s):  
End Of Life ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Immune Checkpoint Inhibitor ◽  
Checkpoint Inhibitor ◽  
Checkpoint Inhibitors ◽  
Performance Status ◽  
Poor Performance ◽  
Poor Performance Status ◽  
Inhibitor Treatment

Background: Immune checkpoint inhibitors have changed the landscape of cancer care by increasing progression-free and overall survival in some patients with cancer. We evaluated use and variables contributing to immune checkpoint inhibitor treatment near the end of life. Methods: We studied 157 patients who received immune checkpoint inhibitors and died between January 2015 and December 2018. All patients had a palliative care consult any time between starting an immune checkpoint inhibitor and death. Univariate and multivariate models were used to examine variables related to immune checkpoint inhibitor use near the end of life. Results: Among 157 patients studied, 42 (27%) received a dose of immune checkpoint inhibitor in the last 30 days of life. Those who received treatment in the last 30 days of life had lower hospice enrollment (19 [45%] vs 78 [69%], P = .007) and higher rates of dying in the hospital (23 [56%] vs 33 [29%], P = .002). The percentage of patients with Eastern Cooperative Oncology Group (ECOG) ≥3 at the time of last immune checkpoint inhibitor dose was higher in the group that received immune checkpoint inhibitor treatment in the last 30 days of life (11 [26%] vs 9 [8%], P = .003). Lack of traditional chemotherapy after immune checkpoint inhibitor, ECOG ≥3, and lack of hospice enrollment were independently associated with receiving immune checkpoint inhibitor in the last 30 days of life. Conclusion: Immune checkpoint inhibitor use in the last 30 days of life is common and associated with poor performance status, lower hospice enrollment, and dying in the hospital.

scholarly journals Antibiotics Treatment and Immune-checkpoint Inhibitors Efficacy: A Systematic Review and Meta-analysis

2020 ◽  
Author(s):  
Jie Hao ◽  
Yang Zhao ◽  
Jiangyi He ◽  
Yunlong Wang ◽  
Yan Dong
Keyword(s):  
Prognostic Factor ◽  
Advanced Cancer ◽  
Immune Checkpoint ◽  
Fixed Effects ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Meta Analysis ◽  
Time Interval ◽  
Prognostic Information ◽  
Increased Risk

Abstract Background: Immune-checkpoint inhibitors (ICIs) have been approved as 1st line therapy and benefit patients with advanced cancer. However, still many patients fail to achieve the significant efficacy, a predictor for precise patient selection is needed. The aim of our study is to determine whether the administration of antibiotics before or at the beginning of ICIs treatment is a prognostic factor of progression-free survival (PFS) and overall survival (OS) in patients with advanced cancer.Methods: A systematic search in PubMed, Embase, Cochrane and Web of Science databases was conducted using the search terms antibiotic, PD-1, PD-L1, CTLA-4, combined with cancer, tumor, neoplasm, or carcinoma. Data extraction was performed independently. Hazard ratio (HR) for PFS and OS of antibiotics (+) group vs antibiotics (-) group were pooled according to random or fixed-effects models. HRs with 95% confidence intervals (CIs) for PFS and OS were pooled to obtain prognostic information and aggregate values.Results: Nine studies including 1163 patients were included in this meta-analysis. By PFS analysis, antibiotics administration was associated with a significantly increased risk of disease progression (HR, 1.76; 95% CI, 1.37-2.26; P< 0.01). By OS analysis, antibiotics uptake also showed an HR in favor of death (HR, 1.7; 95% CI, 1.40-2.07; P< 0.01).Conclusions: Based on the existing evidence, antibiotics administration is a prognostic factor for reduced PFS and OS in patients receiving ICIs treatment. The time interval between antibiotics administration and ICIs treatment should be considered.

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