scholarly journals Identifying predictive biomarkers of CIMAvaxEGF success in Non–Small Cell Lung Cancer Patients

2019 ◽  
Author(s):  
Patricia Lorenzo-Luaces ◽  
Lizet Sanchez ◽  
Danay Saavedra ◽  
Tania Crombet ◽  
Wim Van der Elst ◽  
...  
Keyword(s):  
Lung Cancer ◽  
T Cells ◽  
Causal Inference ◽  
Peripheral Blood ◽  
Predictive Biomarkers ◽  
Blood Parameters ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lung Cancer Patients ◽  
Pre Treatment

Abstract Background: Immunosenescence biomarkers and peripheral blood parameters are evaluated separately as possible predictive markers of immunotherapy. Here we illustrate the use of a causal inference model to identify predictive biomarkers of CIMAvaxEGF success in the treatment of Non–Small Cell Lung Cancer Patients. Methods: Data from a clinical trial evaluating the effect on survival time of CIMAvax-EGF versus best supportive care were analyzed retrospectively following the causal inference approach. Pre-treatment potential predictive biomarkers included basal serum EGF concentration, peripheral blood parameters and immunosenescence biomarkers (The proportion of CD8 + CD28- T cells, CD4+ and CD8+ T cells, CD4/CD8 ratio and CD19+ B cells. The 33 patients with complete information were included. The predictive causal information (PCI) was calculated for all possible models. The model with a minimum number of predictors, but with high prediction accuracy (PCI>0.7) was selected. Good, rare and poor responder patients were identified using the predictive probability of treatment success. Results: The mean of PCI increased from 0.486, when only one predictor is considered, to 0.98 using the multivariate approach with all predictors. The model considering the proportion of CD4+ T cell, basal EGF concentration, NLR, Monocytes, and Neutrophils as predictors were selected (PCI>0.74). Patients predicted as good responders according to the pre-treatment biomarkers values treated with CIMAvax-EGF had a significant higher observed survival compared with the control group (p=0.03). No difference was observed for bad responders. Conclusions: Peripheral blood parameters and immunosenescence biomarkers together with basal EGF concentration in serum resulted in good predictors of the CIMAvax-EGF success in advanced NSCLC. The study illustrates the application of a new methodology, based on causal inference, to evaluate multivariate pre-treatment predictors.

scholarly journals Identifying predictive biomarkers of CIMAvaxEGF success in Non–Small Cell Lung Cancer Patients.

2020 ◽  
Author(s):  
Patricia Lorenzo-Luaces ◽  
Lizet Sanchez ◽  
Danay Saavedra ◽  
Tania Crombet ◽  
Wim Van der Elst ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Causal Inference ◽  
Peripheral Blood ◽  
Predictive Biomarkers ◽  
Blood Parameters ◽  
Small Cell ◽  
Multivariate Approach ◽  
Small Cell Lung ◽  
Lung Cancer Patients ◽  
Pre Treatment

Abstract Background: Immunosenescence biomarkers and peripheral blood parameters are evaluated separately as possible predictive markers of immunotherapy. Here, we illustrate the use of a causal inference model to identify predictive biomarkers of CIMAvaxEGF success in the treatment of Non–Small Cell Lung Cancer Patients. Methods: Data from a controlled clinical trial evaluating the effect of CIMAvax-EGF were analyzed retrospectively, following a causal inference approach. Pre-treatment potential predictive biomarkers included basal serum EGF concentration, peripheral blood parameters and immunosenescence biomarkers. The proportion of CD8 + CD28- T cells, CD4+ and CD8+ T cells, CD4/CD8 ratio and CD19+ B cells. The 33 patients with complete information were included. The predictive causal information (PCI) was calculated for all possible models. The model with a minimum number of predictors, but with high prediction accuracy (PCI>0.7) was selected. Good, rare and poor responder patients were identified using the predictive probability of treatment success. Results: The mean of PCI increased from 0.486, when only one predictor is considered, to 0.98 using the multivariate approach with all predictors. The model considering the proportion of CD4+ T cell, basal Epidermal Growth Factor (EGF) concentration, neutrophil to lymphocyte ratio, Monocytes, and Neutrophils as predictors were selected (PCI>0.74). Patients predicted as good responders according to the pre-treatment biomarkers values treated with CIMAvax-EGF had a significant higher observed survival compared with the control group (p=0.03). No difference was observed for bad responders. Conclusions: Peripheral blood parameters and immunosenescence biomarkers together with basal EGF concentration in serum resulted in good predictors of the CIMAvax-EGF success in advanced NSCLC. Future research should explore molecular and genetic profile as biomarkers for CIMAvax-EGF and it combination with immune-checkpoint inhibitors. The study illustrates the application of a new methodology, based on causal inference, to evaluate multivariate pre-treatment predictors. The multivariate approach allows realistic predictions of the clinical benefit of patients and should be introduced in daily clinical practice.

scholarly journals Identifying predictive biomarkers of CIMAvaxEGF success in Non–Small Cell Lung Cancer Patients

2020 ◽  
Author(s):  
Patricia Lorenzo-Luaces ◽  
Lizet Sanchez ◽  
Danay Saavedra ◽  
Tania Crombet ◽  
Wim Van der Elst ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Causal Inference ◽  
Peripheral Blood ◽  
Predictive Biomarkers ◽  
Blood Parameters ◽  
Small Cell ◽  
Multivariate Approach ◽  
Small Cell Lung ◽  
Lung Cancer Patients ◽  
Pre Treatment

Abstract Background: Immunosenescence biomarkers and peripheral blood parameters are evaluated separately as possible predictive markers of immunotherapy. Here, we illustrate the use of a causal inference model to identify predictive biomarkers of CIMAvaxEGF success in the treatment of Non–Small Cell Lung Cancer Patients. Methods: Data from a clinical trial evaluating the effect on survival time of CIMAvax-EGF versus best supportive care were analyzed retrospectively, following a causal inference approach. Pre-treatment potential predictive biomarkers included basal serum EGF concentration, peripheral blood parameters and immunosenescence biomarkers. The proportion of CD8 + CD28- T cells, CD4+ and CD8+ T cells, CD4/CD8 ratio and CD19+ B cells. The 33 patients with complete information were included. The predictive causal information (PCI) was calculated for all possible models. The model with a minimum number of predictors, but with high prediction accuracy (PCI>0.7) was selected. Good, rare and poor responder patients were identified using the predictive probability of treatment success. Results: The mean of PCI increased from 0.486, when only one predictor is considered, to 0.98 using the multivariate approach with all predictors. The model considering the proportion of CD4+ T cell, basal Epidermal Growth Factor (EGF) concentration, neutrophil to lymphocyte ratio, Monocytes, and Neutrophils as predictors were selected (PCI>0.74). Patients predicted as good responders according to the pre-treatment biomarkers values treated with CIMAvax-EGF had a significant higher observed survival compared with the control group (p=0.03). No difference was observed for bad responders. Conclusions: Peripheral blood parameters and immunosenescence biomarkers together with basal EGF concentration in serum resulted in good predictors of the CIMAvax-EGF success in advanced NSCLC. Future research should explore molecular and genetic profile as biomarkers for CIMAvax-EGF and it combination with immune-checkpoint inhibitors. The study illustrates the application of a new methodology, based on causal inference, to evaluate multivariate pre-treatment predictors. The multivariate approach allows realistic predictions of the clinical benefit of patients and should be introduced in daily clinical practice.

scholarly journals Durvalumab and tremelimumab with or without stereotactic body radiation therapy in relapsed small cell lung cancer: a randomized phase II study

2020 ◽  
Vol 8 (2) ◽  
pp. e001302
Author(s):  
Suchita Pakkala ◽  
Kristin Higgins ◽  
Zhengjia Chen ◽  
Gabriel Sica ◽  
Conor Steuer ◽  
...  
Keyword(s):  
Lung Cancer ◽  
T Cells ◽  
Radiation Therapy ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Peripheral Blood ◽  
Stereotactic Body Radiation Therapy ◽  
Small Cell ◽  
Small Cell Lung ◽  
Stereotactic Body Radiation

BackgroundImmune checkpoint blockade (ICB) targeting programmed cell death protein 1 and cytotoxic T lymphocyte-associated protein 4 has achieved modest clinical activity as salvage therapy in relapsed small cell lung cancer (SCLC). We conducted this signal-finding study to assess the efficacy of ICB with or without radiation in relapsed SCLC.MethodsPatients with relapsed SCLC and ≤2 previous lines of therapy were randomized to (1) arm A: durvalumab (D) 1500 mg/tremelimumab (T) 75 mg (intravenously every 4 weeks without stereotactic body radiation therapy (SBRT)) or (2) arm B: immune-sensitizing SBRT to one selected tumor site (9 Gy × 3 fractions) followed by D/T. Treatment continued until progression or a maximum of 12 months. The co-primary endpoints of the study were overall response rate (ORR) and progression-free survival (PFS). We evaluated circulating lymphocyte repertoire in serial peripheral blood samples and tumor infiltrating lymphocytes (TILs) from on-treatment biopsies as pharmacodynamic markers.ResultsEighteen patients were randomized to arms A and B (n=9 each): median age 70 years; 41.2% women. The median PFS and ORR were 2.1 months and 0% in arm A and 3.3 months and 28.6% in arm B. The median overall survival (OS) was 2.8 months in arm A and 5.7 months in arm B (p=0.3772). Pooled efficacy of D/T±SBRT in 15 Response evaluation criteria in solid tumors (RECIST) evaluable patients across both arms showed the best ORR in terms of partial response in 13.3%, stable disease in 26.6% and progressive disease in 60.0%; the overall median PFS and OS were 2.76 and 3.9 months. The most common adverse events were grade 1 fatigue (66%) and grade 1 elevated amylase (56%) in arm A, and grade 1 fatigue (56%) and pain (44%) in arm B. There was a significant increase in activated CD8(+)ICOS+ T cells (p=0.048) and a reduction in naïve T cells (p=0.0454) in peripheral blood following treatment, along with a significant amount of activated CD8+ICOS+ T cells in TILs from responders.ConclusionsThe D/T combination with and without SBRT was safe but did not show sufficient efficacy signal in relapsed SCLC. Changes in peripheral blood lymphocyte and TILs were consistent with an immunologic response.Trial registration numberNCT02701400.

scholarly journals CD8+CD57+ T cells exhibit distinct features in human non-small cell lung cancer

2020 ◽  
Vol 8 (1) ◽  
pp. e000639
Author(s):  
Bing Huang ◽  
Rong Liu ◽  
Peiliang Wang ◽  
Zhiwei Yuan ◽  
Jianjian Yang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
T Cells ◽  
Small Cell Lung Cancer ◽  
Peripheral Blood ◽  
Proliferative Activity ◽  
Granzyme B ◽  
Small Cell ◽  
Small Cell Lung ◽  
Functional Maturation ◽  
Draining Lymph Nodes

BackgroundThe repetitive antigen stimulation during chronic infection often leads to the accumulation of CD8+CD57+ T cells. These cells express high levels of interferon-γ, granzyme B and perforin with elevated cytolytic effect, and are considered as the most potent cells for combating chronical viral infection. The status of CD8+CD57+ T cells in non-small cell lung cancer (NSCLC) has not been well defined.MethodsWe used flow cytometry and undertook a systemic approach to examine the frequency, immunophenotyping and functional properties of CD8+CD57+ T cells in the peripheral blood, tumor tissue and the corresponding normal tissue, as well as lung draining lymph nodes, of patients with NSCLC.ResultsCD57+ T cells expressed high levels of programmed cell death-1 (PD-1) in all tested compartments and were predominantly CD8+ T cells. These cells in the peripheral blood displayed a terminally differentiated phenotype as defined by loss of CD27 and CD28 while expressing KLRG1. CD8+CD57+ T cells exhibited enhanced cytotoxic potencies and impaired proliferative capability. Unlike CD57+ T cells in the peripheral blood, a significant proportion of CD57+ T cells in the primary tumors expressed CD27 and CD28. CD8+CD57+ T cells in tumors lacked cytotoxic activity. The proliferative activity of these cells was also impaired. CD8+CD57+ T cells in the corresponding normal lung tissues shared similarities with their counterparts in peripheral blood rather than their counterparts in tumors. The vast majority of CD8+CD57+ T cells in lung draining lymph nodes were positive for CD27 and CD28. These cells were unable to produce perforin and granzyme B, but their proliferative activity was preserved. CD8+CD57+ T cells in tumors displayed an inferior response to PD-1 blockade compared with their CD8+CD57- counterparts. Interleukin (IL)-15 preferentially restored the effector function of these cells. Additionally, IL-15 was able to restore the impaired proliferative activity of CD8+CD57+ T cells in tumors and peripheral blood.ConclusionsOur data indicate that the failure of the immune system to fight cancer progression could be a result of impaired CD8+ T-cell functional maturation into fully differentiated effector T cells within the tumor microenvironment. Boosting IL-15 activity might promote tumor-reactive CD8+ T-cell functional maturation while preserving their proliferative activity.

scholarly journals Expression of PD-1 on CD4+ T cells in peripheral blood associates with poor clinical outcome in non-small cell lung cancer

Oncotarget ◽  
2016 ◽  
Vol 7 (35) ◽  
pp. 56233-56240 ◽  
Author(s):  
Hong Zheng ◽  
Xin Liu ◽  
Jianhong Zhang ◽  
Shawn J. Rice ◽  
Matthias Wagman ◽  
...  
Keyword(s):  
Lung Cancer ◽  
T Cells ◽  
Clinical Outcome ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Peripheral Blood ◽  
Cd4 T Cells ◽  
Small Cell ◽  
Small Cell Lung ◽  
Poor Clinical Outcome

scholarly journals Interleukin-35 Suppresses the Antitumor Activity of T Cells in Patients with Non-Small Cell Lung Cancer

2018 ◽  
Vol 47 (6) ◽  
pp. 2407-2419 ◽  
Author(s):  
Hong-Min Wang ◽  
Xiao-Hong Zhang ◽  
Ming-Ming Feng ◽  
Yan-Jun Qiao ◽  
Li-Qun Ye ◽  
...  
Keyword(s):  
Lung Cancer ◽  
T Cells ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Cd8 T Cells ◽  
Peripheral Blood ◽  
Cd4 T Cells ◽  
Small Cell ◽  
Small Cell Lung ◽  
Nsclc Patients

Background/Aims: Interleukin (IL)-35 has immunosuppressive functions in autoimmune diseases, infectious diseases, and certain cancers. However, few studies have focused on its immunoregulatory activity in non-small cell lung cancer (NSCLC). Thus, we investigated the role of IL-35 in the pathogenesis of this disease. Methods: A total of 66 NSCLC patients and 21 healthy individuals were enrolled. IL-35 expression in peripheral blood and bronchoalveolar lavage fluid (BALF) was measured. The modulatory functions of IL-35 on purified CD4+ and CD8+ T cells from NSCLC patients were investigated in direct and indirect coculture systems with NSCLC cell lines. Results: IL-35 expression was significantly increased in BALF from the tumor site, but not in the peripheral blood of NSCLC patients. IL-35 did not affect the bioactivity including proliferation, cytokine production, cell cycle, and cellular invasion of NSCLC cells. It suppressed responses from type 1 T helper (Th1) and Th17 cells but elevated the regulatory T cell response in cultured CD4+ T cells from NSCLC patients, and reduced cytokine-mediated CD4+ T cells cytotoxicity to NSCLC cells. Moreover, IL-35 also inhibited cytotoxic gene expression in CD8+ T cells from NSCLC, reducing their cytolytic and noncytolytic functions. Conclusion: The results of this study suggest that IL-35 contributes to the dysfunction/exhaustion of T cells and limited antitumor immune responses in NSCLC.

scholarly journals Increased CD3+ T cells with a low FOXP3+/CD8+ T cell ratio can predict anti-PD-1 therapeutic response in non-small cell lung cancer patients

2018 ◽  
Vol 32 (3) ◽  
pp. 367-375 ◽  
Author(s):  
Hyojin Kim ◽  
Hyun Jung Kwon ◽  
Yeon Bi Han ◽  
Soo Young Park ◽  
Eun Sun Kim ◽  
...  
Keyword(s):  
Lung Cancer ◽  
T Cells ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Therapeutic Response ◽  
Cd8 T Cell ◽  
Small Cell ◽  
Small Cell Lung ◽  
Cell Ratio ◽  
Lung Cancer Patients
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