The impact of sarcopenia on the efficacy and safety of immune checkpoint inhibitors in patients with solid tumours

2021 ◽  
pp. 1-7
Author(s):  
Laura Haik ◽  
Aurore Gonthier ◽  
Amandine Quivy ◽  
Marine Gross-goupil ◽  
Remi Veillon ◽  
...  
Keyword(s):  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Solid Tumours ◽  
Efficacy And Safety ◽  
The Impact

scholarly journals Efficacy and safety of immune checkpoint inhibitors (ICIs) for treatment of advanced solid tumours in octogenarian patients

2019 ◽  
Vol 30 ◽  
pp. v524-v525
Author(s):  
S. Mebarki ◽  
M. Gisselbrecht ◽  
E. Fabre ◽  
E. Mercadier ◽  
S. Oudard ◽  
...  
Keyword(s):  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Solid Tumours ◽  
Efficacy And Safety

RNF43 mutations to predict survival from treatment with immune checkpoint inhibitors and are associated with a high tumor mutation burden in bladder cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16528-e16528
Author(s):  
Liping Li ◽  
Mengmei Yang ◽  
Mengli Huang
Keyword(s):  
Bladder Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Negative Regulator ◽  
Wilcoxon Test ◽  
Wild Type ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
The Impact

e16528 Background: Immune checkpoint inhibitors (ICIs) targeting PD-1/L1 have been approved as first-line treatment for cisplatin-ineligible patients and as second-line therapy for patients with metastatic urothelial carcinoma of the bladder. Biomarkers can help select patients who are more likely to response to ICIs. RNF43 is an E3 ubiquitin ligase that acts as a negative regulator of Wnt/β-catenin signaling pathway. In colorectal cancer (CRC) patients treated with immune checkpoint inhibitors (ICIs), RNF43 mutations predicted longer overall survival (OS). The impact of RNF43 mutations on the efficiency of ICIs in bladder cancer(BLC) remains to be explored. Methods: We downloaded the mutation and clinical data of 211 BLC patients treated with ICIs from the immunotherapeutic cohort published by Samstein et al. (2019). OS analyses were conducted using Kaplan-Meier curves and log-rank tests. Wilcoxon test was used for the comparison of TMB. We also downloaded a TCGA cohort for prognostic analysis. The correlations between RNF43 and immune infiltrates were analyzed in the TIMER2.0 database. Statistical significance was set at p = 0.05. Results: RNF43 mutations were identified in 4.3%(9/211) and 3%(13/438) BLC patients in the immunotherapeutic and TCGA cohort, respectively. In the immunotherapeutic cohort, patients with RNF43 mutations had significantly longer OS (25 months vs 8 months; p = 0.015) and higher tumor mutation burden(TMB, 42.3 vs 7.9; p = 3.15E-06) than RNF43-wild-type patients. Different from this, no significant difference was found in OS between RNF43-mutant and RNF43-wild-type BLC patients with standard treatment in the TCGA cohort (p = 0.696). These results indicated that RNF43 was not a prognostic factor but a predictive biomarker of survival in BLC treated with ICIs. No difference was observed in subsets of immune cells between RNF43-mutant and the RNF43-wide-type BLC patients, including neutrophils, macrophages, CD8+ T cells, Tregs, B cells and NK cells. Conclusions: RNF43 mutations may be a predictor of survival benefit from ICIs in bladder cancer and correlated with higher TMB. Further studies in other ICI-treated cohorts are needed to confirm these results.

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.

scholarly journals Pan-Cancer Analysis Identifies Liver Metastases as Negative Predictive Factor for Immune Checkpoint Inhibitors Treatment Outcome

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiao-Juan Chen ◽  
Aiqun Ren ◽  
Liang Zheng ◽  
En-Dian Zheng ◽  
Tao Jiang
Keyword(s):  
Combination Therapy ◽  
Liver Metastases ◽  
Predictive Factor ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Intrinsic Resistance ◽  
The Impact ◽  
Pan Cancer ◽  
Negative Predictive Factor

This study aimed to investigate the predictive value of liver metastases (LM) in patients with various advanced cancers received immune-checkpoint inhibitors (ICIs). First, clinical and survival data from a published cohort of 1,661 patients who received ICIs therapy were downloaded and analyzed. Second, a retrospective review of 182 patients with advanced non-small-cell lung cancer (NSCLC) who received PD-1/PD-L1 monotherapy was identified. Third, a meta-analysis of published trials was performed to explore the impact of LM on the efficacy of anti-PD-1/PD-L1 based therapy in advanced lung cancers. Pan-cancer analysis revealed that patients with LM had significantly shorter overall survival (OS) than those without LM (10 vs. 20 months; P < 0.0001). Subgroup analysis showed that the presence of LM was associated with markedly shorter OS than those without LM in ICI monotherapy group (P < 0.0001), but it did not reach the statistical significance in ICI-based combination therapy (P = 0.0815). In NSCLC, the presence of LM was associated with significantly inferior treatment outcomes in both pan-cancer and real-world cohort. Interestingly, ICI-based monotherapy and combination therapy could simultaneously prolong progression-free survival (PFS) and OS than chemotherapy in patients without LM. However, ICI-based monotherapy could not prolong PFS than chemotherapy in patients with LM while ICI-based combination therapy could dramatically prolong both PFS and OS. Together, these findings suggested that the presence of LM was the negative predictive factor in cancer patients received ICIs monotherapy, especially in NSCLC. ICI-based combination therapy might overcome the intrinsic resistance of LM to ICIs while the optimal combinatorial strategies remain under further investigation.

Metabolic disease and adverse events from immune checkpoint inhibitors

2021 ◽  
Author(s):  
Amanda Leiter ◽  
Emily Carroll ◽  
Sonia De Alwis ◽  
Danielle Brooks ◽  
Jennifer Ben Shimol ◽  
...  
Keyword(s):  
Metabolic Disease ◽  
Adverse Events ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Metabolic Diseases ◽  
Checkpoint Inhibitors ◽  
Normal Weight ◽  
Metabolic Risk ◽  
The Impact ◽  
Metabolic Comorbidities

Objective: Obese and overweight body mass index (BMI) categories have been associated with increased immune-related adverse events (irAEs) in patients with cancer receiving immune checkpoint inhibitors (ICIs); however, the impact of being overweight in conjunction with related metabolic syndrome-associated factors on irAEs have not been investigated. We aimed to evaluate the impact of overweight and obese BMI according to metabolic disease burden on the development of irAEs. Design and Methods: We conducted a retrospective observational study of patients receiving ICIs at a cancer center. Our main study outcome was development of grade 2 (moderate) irAEs. Our main predictor was weight/metabolic disease risk category: (1) normal weight (BMI 18.5-24.9 kg/m2)/low metabolic risk (<2 metabolic diseases [diabetes, dyslipidemia, hypertension] ), (2) normal weight/high metabolic risk (2 metabolic diseases), (3) overweight (BMI 25 kg/m2)/low metabolic risk, and (4) overweight/high metabolic risk. Results: Of 411 patients in our cohort, 374 were eligible for analysis. Overall, 111 (30%) patients developed grade 2 irAEs. In Cox analysis, overweight/low metabolic risk was significantly associated with grade 2 irAEs (hazard ratio [HR]: 2.0, 95% confidence interval [95% CI]: 1.2-3.4) when compared to normal weight/low metabolic risk, while overweight/high metabolic risk (HR: 1.3, 95% CI: 0.7-2.2) and normal weight/high metabolic risk (HR: 1.5, 95% CI: 0.7-3.0) were not. Conclusions: Overweight patients with fewer metabolic comorbidities were at increased risk for irAEs. This study provides an important insight that BMI should be evaluated in the context of associated metabolic comorbidities in assessing risk of irAE development and ICI immune response.

scholarly journals Prognostic Factors and Biomarkers of Responses to Immune Checkpoint Inhibitors in Lung Cancer

2019 ◽  
Vol 20 (19) ◽  
pp. 4931 ◽  
Author(s):  
Andrea Bianco ◽  
Fabio Perrotta ◽  
Giusi Barra ◽  
Umberto Malapelle ◽  
Danilo Rocco ◽  
...  
Keyword(s):  
Lung Cancer ◽  
T Cell ◽  
Cancer Treatment ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
T Cell Subsets ◽  
Durable Response ◽  
Lung Cancer Treatment ◽  
The Impact

Manipulation of the immune response is a game changer in lung cancer treatment, revolutionizing management. PD1 and CTLA4 are dynamically expressed on different T cell subsets that can either disrupt or sustain tumor growth. Monoclonal antibodies (MoAbs) against PD1/PDL1 and CTLA4 have shown that inhibitory signals can be impaired, blocking T cell activation and function. MoAbs, used as both single-agents or in combination with standard therapy for the treatment of advanced non-small cell lung cancer (NSCLC), have exhibited advantages in terms of overall survival and response rate; nivolumab, pembrolizumab, atezolizumab and more recently, durvalumab, have already been approved for lung cancer treatment and more compounds are in the pipeline. A better understanding of signaling elicited by these antibodies on T cell subsets, as well as identification of biological determinants of sensitivity, resistance and correlates of efficacy, will help to define the mechanisms of antitumor responses. In addition, the relevance of T regulatory cells (Treg) involved in immune responses in cancer is attracting increasing interest. A major challenge for future research is to understand why a durable response to immune checkpoint inhibitors (ICIs) occurs only in subsets of patients and the mechanisms of resistance after an initial response. This review will explore current understanding and future direction of research on ICI treatment in lung cancer and the impact of tumor immune microenvironment n influencing clinical responses.

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