scholarly journals P14.16 The Early Landscape of Immune Cell Subsets in Metastatic NSCLC Patients Treated with Immune Checkpoint Inhibitors

2021 ◽  
Vol 16 (3) ◽  
pp. S336
Author(s):  
J. Zhou ◽  
A. Donaubauer ◽  
B. Frey ◽  
I. Becker ◽  
S. Rutzner ◽  
...  
2021 ◽  
Author(s):  
Afsheen Raza ◽  
Maysaloun Merhi ◽  
Allan Relecom ◽  
Queenie Fernandes ◽  
Varghese Inchakalody ◽  
...  

Immune checkpoint inhibitors (ICIs) have been approved as first or second line therapy in a large group of cancers. However, the observation of potentially long-lasting responses was restricted to limited subset of patients. Efforts have been made to identify predictive factors of response to ICIs in order to select eligible patients and to avoid exposing non-responding patients to treatment side effects. Although several biomarkers have been identified, their predictive potential remains unsatisfactory. One promising emerging approach is to focus on dynamic biomarkers to directly characterize the response and, more importantly, to identify those patients presenting an immune response failure. Several studies have shown a strong correlation between specific circulating immune cell subsets and tumor immune infiltrates. Moreover, liquid biomarkers including soluble immune checkpoint molecules have potential in predicting the modulation of the immune response under immune checkpoint blockade. In this chapter, we will discuss current advances in the study of circulatory and intra-tumoral dynamic biomarkers as predictors of responses to ICIs therapy in cancer.


Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2352
Author(s):  
Francesco Fiorica ◽  
Umberto Tebano ◽  
Milena Gabbani ◽  
Mariasole Perrone ◽  
Sonia Missiroli ◽  
...  

Background: Immune checkpoint inhibitors (ICI) plus radiotherapy (RT) have been suggested as an emerging combination in non-small cell lung cancer (NSCLC) patients. However, little is known about the magnitude of its benefits and potential clinical predictors. Objective: To assess the effects of this combination on the increase in overall and progression-free survival. Data sources: The MEDLINE and CANCERLIT (1970–2020) electronic databases were searched, and the reference lists of included studies were manually searched. Study selection: Studies were included if they were comparative studies between combination ICI-RT and ICI or RT alone in advanced or metastatic NSCLC patients. Overall survival (OS) was analyzed according to the treatment strategy. Data extraction: Data on population, intervention, and outcomes were extracted from each study, in accordance with the intention-to-treat method, by two independent observers and combined using the DerSimonian method and Laird method. Results: Compared to ICI or RT alone, ICI-RT significantly increased the 1-year and 3-year OS RR by 0.75 (95% CI 0.64–0.88; p = 0.0003) and 0.85 (95% CI 0.78–0.93; p = 0.0006), respectively. Furthermore, there was a statistically significant benefit on 1- and 3-year progression-free survival (RR 0.73 (95% CI, 0.61–0.87; p = 0.0005) and RR 0.82 (95% CI 0.67–0.99; p = 0.04), respectively). Conclusions: In patients with advanced or metastatic NSCLC, combination ICI-RT increases 1- and 3-year OS and progression-free survival compared to ICI or RT alone.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Li Wang ◽  
Zhixuan Ren ◽  
Bentong Yu ◽  
Jian Tang

Abstract Introduction Immune checkpoint inhibitors (ICIs) have become a frontier in the field of clinical technology for advanced non-small cell lung cancer (NSCLC). Currently, the predictive biomarker of ICIs mainly including the expression of PD-L1, TMB, TIICs, MMR and MSI-H. However, there are no official biomarkers to guide the treatment of ICIs and to determine the prognosis. Therefore, it is essential to explore a systematic nomogram to predict the prognosis of ICIs treatment in NSCLC Methods In this work, we obtained gene expression and clinical data of NSCLC patients from the TCGA database. Immune-related genes (IRGs) were downloaded from the ImmPort database. The detailed clinical annotation and response data of 240 advanced NSCLC patients who received ICIs treatment were obtained from the cBioPortal for Cancer Genomics. Kaplan–Meier survival analysis was used to perform survival analyses, and selected clinical variables to develop a novel nomogram. The prognostic significance of FGFR4 was validated by another cohort in cBioPortal for Cancer Genomics. Results 3% of the NSCLC patients harbored FGFR4 mutations. The mutation of FGFR4 were confirmed to be associated with PD-L1, and TMB. Patients harbored FGFR4 mutations were found to have a better prolonged progression-free survival (PFS) to ICIs treatment (FGFR4: P = 0.0209). Here, we built and verified a novel nomogram to predict the prognosis of ICIs treatment for NSCLC patients. Conclusion Our results showed that FGFR4 could serve as novel biomarkers to predict the prognosis of ICIs treatment of advanced NSCLC. Our systematic prognostic nomogram showed a great potential to predict the prognosis of ICIs for advanced NSCLC patients.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Francesco Trevisani ◽  
Federico Di Marco ◽  
Francesco Fiorio ◽  
Monica Cattaneo ◽  
Erika Rijavec ◽  
...  

Abstract Background and Aims The optimal use of immune and target therapies, the optimal use of standard chemotherapy (CT) is of paramount importance, especially for patients affected by chronic kidney disease (CKD) who require dose adjustment according to the glomerular filtration rate (GFR) to avoid acute kidney injury (AKI) establishment. Immune checkpoint inhibitors (ICIs) and platinum-based chemotherapy (CT) are options for the palliative treatment of metastatic non-small cell lung cancer (NSCLC). Recently, CT in combination with immune-checkpoint inhibitors has become the treatment of choice for this setting of patients. Therefore, it is fundamental to investigate the potential nephrotoxic effects of both treatments and their potential additive effects on renal function. Aim of our study was to compare the nephrotoxic effect of both ICIs and CT (cisplatin and carboplatin-based) in a consecutive cohort of patients affected by metastatic NSCLC. Method A consecutive cohort of 126 patients treated in first-line for NSLCL was enrolled in a single tertiary Hospital between 2018 and 2020. Inclusion criteria were: age (> 18 years old), eGFR (> 15 ml/min/1.73), histological diagnosis of metastatic NSCLC. Each patient underwent immunotherapy or CT according to clinical conditions, comorbidities and programmed death ligand 1 (PD-L1) expression status. eGFR (using CKD-EPI formula 2009) was detected at baseline and after each cycle of immunotherapy or CT (using cisplatin or carboplatin) in order to determine the correct renal status using the K-DIGO 2012 guidelines for AKI stages and CKD classes. Pts were subdivided into CKD categories G according to their eGFR values before and after the treatment. AKI onset was evaluated by rise in creatine levels according to K-DIGO criteria. Clinical stage according to cTNM (AJCC TNM system-2019) was collected at baseline before the first treatment. Comorbidities (e.g., diabetes, blood hypertension, overweight and obesity) were also included. Comparison between numerical variables was performed using linear regressions; between groups using Kruskal-Wallis rank sum test for numerical variables and Pearson’s Chi square test for categorical variables. Log rank test was used to test differences between groups in terms of AKI onset during the therapy. Results Clinical and pathological characteristics are reported in table 1. From the analysis, no significative differences were detected between Immunotherapy and CT group for age, gender, basal serum creatinine, basal eGFR, basal BMI, diagnosis of diabetes, hypertension, basal CKD G group or overall AKI onset. Treatment cycles were significantly different between the two groups (p<0.001) with a short median number of cycles for the CT group. No significative difference in terms of decay of eGFR calculated as final-basal values was detected (p=0.8). AKI onset over cycles was significantly different between the two groups (p=0.02), observing a higher risk of developing earlier AKI for CT group (cisplatin or carboplatin) (13,9%) with respect to immunotherapy (7,4%) (figure 1 and 2). Conclusion Our study highlights that both cisplatin and carboplatin-based CT displays an augmented incidence of AKI development after a lower number of therapy cycles in respect of immunotherapy. The nephrotoxic effects of combined therapy for NSLCL should be always evaluated by nephrologist during the treatment of NSLCL patients to avoid an augmented risk of AKI derived from the combination of immunotherapy and CT in first line.


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