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  • 1
    In: Human Mutation, Hindawi Limited, Vol. 34, No. 1 ( 2013-01), p. 79-82
    Type of Medium: Online Resource
    ISSN: 1059-7794
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2013
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  • 2
    In: Neuromuscular Disorders, Elsevier BV, ( 2023-11)
    Type of Medium: Online Resource
    ISSN: 0960-8966
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
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  • 3
    In: Journal of Clinical Medicine, MDPI AG, Vol. 11, No. 6 ( 2022-03-09), p. 1500-
    Abstract: Lung cancer is the leading cause of cancer mortality worldwide, with non-small cell lung cancer (NSCLC) being the most prevalent histology. While immunotherapy with checkpoint inhibitors has shown outstanding results in NSCLC, the precise identification of responders remains a major challenge. Most studies attempting to overcome this handicap have focused on adenocarcinomas or squamous cell carcinomas. Among NSCLC subtypes, the molecular and immune characteristics of lung large cell carcinoma (LCC), which represents 10% of NSCLC cases, are not well defined. We hypothesized that specific molecular aberrations may impact the immune microenvironment in LCC and, consequently, the response to immunotherapy. To that end, it is particularly relevant to thoroughly describe the molecular genotype–immunophenotype association in LCC–to identify robust predictive biomarkers and improve potential benefits from immunotherapy. We established a cohort of 18 early-stage, clinically annotated, LCC cases. Their molecular and immune features were comprehensively characterized by genomic and immune-targeted sequencing panels along with immunohistochemistry of immune cell populations. Unbiased clustering defined two novel subgroups of LCC. Pro-immunogenic tumors accumulated certain molecular alterations, showed higher immune infiltration and upregulated genes involved in potentiating immune responses when compared to pro-tumorigenic samples, which favored tumoral progression. This classification identified a set of biomarkers that could potentially predict response to immunotherapy. These results could improve patient selection and expand potential benefits from immunotherapy.
    Type of Medium: Online Resource
    ISSN: 2077-0383
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
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  • 4
    In: Journal for ImmunoTherapy of Cancer, BMJ, Vol. 9, No. 5 ( 2021-05), p. e001904-
    Abstract: Tumor mutational burden (TMB) is a recently proposed predictive biomarker for immunotherapy in solid tumors, including non-small cell lung cancer (NSCLC). Available assays for TMB determination differ in horizontal coverage, gene content and algorithms, leading to discrepancies in results, impacting patient selection. A harmonization study of TMB assessment with available assays in a cohort of patients with NSCLC is urgently needed. Methods We evaluated the TMB assessment obtained with two marketed next generation sequencing panels: TruSight Oncology 500 (TSO500) and Oncomine Tumor Mutation Load (OTML) versus a reference assay (Foundation One, FO) in 96 NSCLC samples. Additionally, we studied the level of agreement among the three methods with respect to PD-L1 expression in tumors, checked the level of different immune infiltrates versus TMB, and performed an inter-laboratory reproducibility study. Finally, adjusted cut-off values were determined. Results Both panels showed strong agreement with FO, with concordance correlation coefficients (CCC) of 0.933 (95% CI 0.908 to 0.959) for TSO500 and 0.881 (95% CI 0.840 to 0.922) for OTML. The corresponding CCCs were 0.951 (TSO500-FO) and 0.919 (OTML-FO) in tumors with 〈 1% of cells expressing PD-L1 (PD-L1 〈 1%; N = 55), and 0.861 (TSO500-FO) and 0.722 (OTML-FO) in tumors with PD-L1≥1% (N=41). Inter-laboratory reproducibility analyses showed higher reproducibility with TSO500. No significant differences were found in terms of immune infiltration versus TMB. Adjusted cut-off values corresponding to 10 muts/Mb with FO needed to be lowered to 7.847 muts/Mb (TSO500) and 8.380 muts/Mb (OTML) to ensure a sensitivity 〉 88%. With these cut-offs, the positive predictive value was 78.57% (95% CI 67.82 to 89.32) and the negative predictive value was 87.50% (95% CI 77.25 to 97.75) for TSO500, while for OTML they were 73.33% (95% CI 62.14 to 84.52) and 86.11% (95% CI 74.81 to 97.41), respectively. Conclusions Both panels exhibited robust analytical performances for TMB assessment, with stronger concordances in patients with negative PD-L1 expression. TSO500 showed a higher inter-laboratory reproducibility. The cut-offs for each assay were lowered to optimal overlap with FO.
    Type of Medium: Online Resource
    ISSN: 2051-1426
    Language: English
    Publisher: BMJ
    Publication Date: 2021
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  • 5
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 5247-5247
    Abstract: Interleukin-11 (IL11) has been associated with tumorigenesis in a wide variety of tumors, including lung cancer, and it has been proposed as a diagnostic biomarker for lung adenocarcinoma. However, it is still not clear how IL11 affects the tumorigenesis. It is possible that, as other cytokines, it has a dual role in the tumor cell and tumoral microenvironment. Thus, the inhibition of IL11 could be an interesting therapeutic option to test in these patients. First, we confirmed the pro-tumorigenic effect of IL11 in patients and mouse models of lung adenocarcinoma (cancer cell lines xenografts, patient derived xenografts; PDXs and genetically engineered mouse models; GEMMs). Later, we knocked-down the expression of IL11 or its specific receptor IL11RA in adenocarcinoma cell lines in order to analyze their tumorigenic properties in vitro and in vivo. We confirmed that fibroblasts are a relevant source of IL11, so we knocked-down IL11 expression in order to analyze how it affects the fibroblasts´ properties, including the secretion of other pro-tumorigenic cytokines and growth factors. We reported that an increased expression of IL11 correlates with a poorer survival in lung adenocarcinoma patients and that IL11 stimulation increases the proliferation rates in xenografts, PDXs and GEMMs. On the contrary, IL11 or IL11RA knockdown in adenocarcinoma cell lines reduces their pro-tumorigenic properties in vitro and in vivo. Finally, the silencing of IL11 in fibroblasts reduces their proliferation, migration and secretion of pro-tumorigenic cytokines and growth factors. In conclusion, we propose that IL11 plays a direct pro-oncogenic role in lung adenocarcinoma tumoral cell and an indirect role in tumoral microenvironment. The genetic ablation of IL11 has an anti-tumoral effect, so it could be interesting to develop a pharmacological tool which neutralizes the IL11-IL11RA signaling to test as a therapeutic strategy in preclinical models. Thus, IL11 could represent a potential therapeutic target that deserves to be more exhaustively studied in the clinical settings. Citation Format: Laura Ojeda, Cristina Cirauqui, Sonia Molina-Pinelo, Eva M Garrido-Martín, Javier Ramos-Paradas, Patricia Yagüe, Alba Santos, Nuria Carrizo, Ana B. Enguita, Maria Teresa Muñoz, Jose Luis Solorzano, Luis Paz-Ares, Irene Ferrer. Interleukin-11 could be a novel therapeutic target for lung adenocarcinoma patients [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5247.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 1245-1245
    Abstract: Lung cancer has the second highest incidence and leads cancer mortality worldwide, being Non-Small Cell Lung Cancer (NSCLC) the most prevalent subtype. Immunotherapy with checkpoint blockers has shown outstanding benefits in a subset of NSCLC patients, which are not accurately identified due to the lack of robust biomarkers of response. We hypothesize that specific molecular alterations of NSCLC tumor cells impact the immune microenvironment. Defining this association could improve the prediction of response to immunotherapy. This work aims to identify a multiparametric biomarker signature. We studied 178 tumor samples from a cohort of early stage NSCLC with complete clinical annotation. We analyzed their molecular aberrations, calculated their Tumor Mutational Burden and described their immune landscape by immunohistochemistry and a dedicated RNAseq panel. We defined novel subgroups of NSCLC tumors with specific immune, molecular and clinical features, showing an association between their molecular genotype and immune phenotype. Based on these data, subgroups were proposed as pro-immunogenic, pro-tumorigenic or mixed. Adenocarcinomas clustered in 4 groups. The pro-tumorigenic group had a significant higher proportion of alterations in ARID1A, FGF10, ROS1, TP53. One pro-immunogenic group had a significant higher proportion of MET alterations and lower proportion of EGFR alterations. An immune mixed group significantly accrued never smokers and had no alterations in FGF10. Squamous cell carcinomas clustered in 4 groups. The pro-tumorigenic group had a significant higher proportion of alterations in CCND1, FGF3, FGF10, FGF19, NOTCH1, PIK3CA, PIK3CB, TFRC. A pro-immunogenic group had a significant higher infiltration of T CD4+, T CD8+ and B cells and a higher overall survival. Another pro-immunogenic group had a significant absence of MYCN and NF1 alterations. Taken together we identified a set of candidate predictive biomarkers of response to immunotherapy in NSCLC. Genes overexpressed in pro-immunogenic tumors are related to adaptive immune response stimulation (CD28, FCRLA, JCHAIN, LY9, MS4A1, SLAMF7, TNFRSF9, TNFRSF17), antigen presentation (CD1C, CD1D, HLA-A), apoptosis (FAS), immune chemotaxis (CCL20, CCR4, CCR6), and immune regulation (CD53, PDCD1, SH2D1A, ZAP70). On the other hand, genes upregulated in pro-tumorigenic tumors are involved in angiogenesis (VEGFA), cell cycle regulation (BUB1, CCNB2, FOXM1, MAD2L1, TOP2A), cell growth/survival (IGF1R), DNA replication/repair (KIAA0101) and iron metabolism (HMBS, TFRC). These findings are being validated by Digital Spatial Profiling in a cohort of patients with advanced stage NSCLC that were treated with checkpoint blockers. If confirmed, these results could remarkably improve patient selection and the benefit upon immunotherapy. Citation Format: Javier Ramos-Paradas, David Gomez-Sanchez, Aranzazu Rosado, Alvaro Conrado Ucero, Nuria Carrizo, Ana Belen Enguita, Maria Teresa Muñoz, Esther Conde, Luis Paz-Ares, Eva Maria Garrido-Martin. Comprehensive analysis of non-small cell lung cancer identifies molecular genotype-immunophenotype associations and candidate biomarkers predictive of response to immunotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1245.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 2006-2006
    Abstract: Lung cancer leads cancer mortality, being Non-Small-Cell Lung Cancer (NSCLC) the most prevalent subtype. Immunotherapy with checkpoint inhibitors has shown promising results in NSCLC, yet this benefit is restricted to a subset of patients. Robust predictive biomarkers of response are lacking. We seek a multiparametric biomarker signature. We hypothesize that specific molecular alterations of NSCLC tumor cells have a deep impact on the immune microenvironment. Describing this relationship is critical to predict response to immunotherapy. We evaluated 178 samples from a retrospective cohort of clinically annotated early stage NSCLC patients. We analyzed their immune profile by immunohistochemistry and a RNAseq immune panel. In parallel, we defined their molecular aberrations and Tumor Mutational Burden by Next Generation Sequencing. We integrated our multiparametric data with Multi-Omics Factor Analysis. Adenocarcinomas (N=80) cluster in 4 groups with two main immunophenotypes. Key factors of this clustering are TOP2A, MKI67, CCNB2, CDK1, JCHAIN, VEGFA, PCLAF, KRT7, FOXM1, BUB1. The proimmune tumors upregulate genes related to immune activation (CD40LG, CD28, MS4A1), signaling (CD79B), chemoattraction (CXCR2), antigen presentation (CD1C, HLA-DQA2), inflammatory cytokines (IL2, IL1B), and immune cells (CD19). Oppositely, the protumoral samples overexpress genes involved in cell cycle (CCNB2, FOXM1, CDKN2A, CDKN3), immune inhibition (CD276), angiogenesis (VEGFA) and proliferation (AKT1, EGFR, PIK3CA, MTOR, MKI67). Regarding molecular characterization, KRAS mutation is enriched in the proimmune subset, while the protumoral one gathers mutations in ARID1A and ALK. Squamous cell carcinomas (N=98) cluster in 4 groups with two main immunophenotypes. Critical factors of this clustering are TRIM29, FOXM1, KRT5, TOP2A, MKI67, TFRC, CCNB2, CD44, EGFR, KREMEN1. The proimmune tumors upregulate genes involved in immune signaling (CD3D, CD3E, CD3G, CD79A, CD79B), activation (CD40LG, CD27, MS4A1), chemoattraction (CXCR5, CXCL13), antigen presentation (CD1C, HLA-DMA/DPB1/DRA/DMB/DOB), inflammatory cytokines (IFNG, IL17F, IL21), immune cells (CD8A, CD19) and immunomodulation (ICOS). Contrarily, the protumoral samples upregulate genes related to cell cycle (FOXM1, BUB1, CCNB2, CDK1), immune cells (FOXP3), angiogenesis (VEGFA), apoptosis (BCL2), immunomodulation (PD-L1) and proliferation (AKT1, MTOR, MYC, PIK3CA, MKI67). Of note, the proimmune subset has higher infiltration of CD8+, CD4+ and B cells. The protumoral one accrues mutations in TFRC, PIK3CA, PIK3CB, FGF3, FGF10. In conclusion, we performed a comprehensive description of novel NSCLC subgroups based on multiparametric data that will improve prediction of response to immunotherapy. Citation Format: Javier Ramos-Paradas, David Gomez-Sanchez, Aranzazu Rosado, Irene Ferrer, Nuria Carrizo, Ana B. Enguita, Maria T. Muñoz, Urbicio Perez-Gonzalez, Ivan Martinez, Luis Paz-Ares, Eva M. Garrido-Martin. Comprehensive multiparametric analysis of non-small cell lung cancer describes novel genotype-immunophenotype relationships and provides putative biomarker signatures of response to checkpoint blockade [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 2006.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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