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  1. Article ; Online: Impaired CD4 T-cell Response to SARS-CoV-2: Rationale for PD-1 Blockade in Patients with Cancer and COVID-19?

    Salomé, Bérengère / Horowitz, Amir

    Cancer discovery

    2021  Volume 11, Issue 8, Page(s) 1877–1878

    Abstract: Cancer is a strong risk factor for severe COVID-19 disease. In this issue ... ...

    Abstract Cancer is a strong risk factor for severe COVID-19 disease. In this issue of
    MeSH term(s) CD4-Positive T-Lymphocytes ; COVID-19 ; Humans ; Immunity ; Neoplasms/drug therapy ; Programmed Cell Death 1 Receptor ; SARS-CoV-2
    Chemical Substances Programmed Cell Death 1 Receptor
    Language English
    Publishing date 2021-08-03
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 2625242-9
    ISSN 2159-8290 ; 2159-8274
    ISSN (online) 2159-8290
    ISSN 2159-8274
    DOI 10.1158/2159-8290.CD-21-0613
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Dysregulation of lung myeloid cells in COVID-19.

    Salomé, Bérengère / Magen, Assaf

    Nature reviews. Immunology

    2020  Volume 20, Issue 5, Page(s) 277

    Keywords covid19
    Language English
    Publishing date 2020-04-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 2062776-2
    ISSN 1474-1741 ; 1474-1733
    ISSN (online) 1474-1741
    ISSN 1474-1733
    DOI 10.1038/s41577-020-0303-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Modulation of immune crosstalk in COVID-19.

    Salomé, Bérengère / Mahmood, Zafar

    Nature reviews. Immunology

    2020  Volume 20, Issue 7, Page(s) 406

    Keywords covid19
    Language English
    Publishing date 2020-05-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 2062776-2
    ISSN 1474-1741 ; 1474-1733
    ISSN (online) 1474-1741
    ISSN 1474-1733
    DOI 10.1038/s41577-020-0342-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Modulation of immune crosstalk in COVID-19

    Salomé, Bérengère / Mahmood, Zafar

    Nature Reviews Immunology

    2020  Volume 20, Issue 7, Page(s) 406–406

    Keywords Immunology ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2062776-2
    ISSN 1474-1741 ; 1474-1733
    ISSN (online) 1474-1741
    ISSN 1474-1733
    DOI 10.1038/s41577-020-0342-1
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  7. Article ; Online: Dysregulation of lung myeloid cells in COVID-19

    Salomé, Bérengère / Magen, Assaf

    Nature Reviews Immunology

    2020  Volume 20, Issue 5, Page(s) 277–277

    Keywords Immunology ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2062776-2
    ISSN 1474-1741 ; 1474-1733
    ISSN (online) 1474-1741
    ISSN 1474-1733
    DOI 10.1038/s41577-020-0303-8
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  8. Article ; Online: Innate lymphoid cells in antitumor immunity.

    Salomé, Bérengère / Jandus, Camilla

    Journal of leukocyte biology

    2017  Volume 103, Issue 3, Page(s) 479–483

    Abstract: Innate lymphoid cells (ILCs) are the most recently characterized subset of innate lymphocytes. Based on their specific transcriptional regulation, cytokine secretion pattern and effector functions ILCs mirror the different CD4 T helper cell subsets, with ...

    Abstract Innate lymphoid cells (ILCs) are the most recently characterized subset of innate lymphocytes. Based on their specific transcriptional regulation, cytokine secretion pattern and effector functions ILCs mirror the different CD4 T helper cell subsets, with the unique attributes of acting locally in early phases of immune responses, in an antigen-independent manner. In this review, we discuss how ILCs have been implicated in tumorigenesis. Their presence might favor or inhibit tumor growth, depending on the cytokines released and the specific tumor microenvironment. As our understanding of ILCs' contribution to antitumor responses advances, clinical options to target ILCs in antitumor therapies are also emerging.
    MeSH term(s) Animals ; Humans ; Immunity, Innate/immunology ; Inflammation/immunology ; Lymphocytes/immunology ; Neoplasms/immunology
    Language English
    Publishing date 2017-12-28
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 605722-6
    ISSN 1938-3673 ; 0741-5400
    ISSN (online) 1938-3673
    ISSN 0741-5400
    DOI 10.1189/JLB.5MR0617-266R
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  9. Article ; Online: Distinct and shared gene expression for human innate versus adaptive helper lymphoid cells.

    Ercolano, Giuseppe / Wyss, Tania / Salomé, Bérengère / Romero, Pedro / Trabanelli, Sara / Jandus, Camilla

    Journal of leukocyte biology

    2020  Volume 108, Issue 2, Page(s) 723–737

    Abstract: Innate lymphoid cells (ILCs) are the latest identified innate immune cell family. Given their similarity in transcription factor expression and cytokine secretion profiles, ILCs have been considered as the innate phenocopy of CD4 Th cells. Here, we ... ...

    Abstract Innate lymphoid cells (ILCs) are the latest identified innate immune cell family. Given their similarity in transcription factor expression and cytokine secretion profiles, ILCs have been considered as the innate phenocopy of CD4 Th cells. Here, we explored the transcriptome of circulating human ILC subsets as opposed to CD4 Th cell subsets. We describe transcriptomic differences between total ILCs and total CD4 Th cells, as well as between paired innate and adaptive cell subsets (ILC1 vs. Th1; ILC2 vs. Th2; and ILC3 vs. Th17 cells). In particular, we observed differences in expression of genes involved in cell trafficking such as CCR1, CCR6 and CXCR3, innate activation and inhibitory functions, including CD119, 2B4, TIGIT, and CTLA-4, and neuropeptide receptors, such as VIPR2. Moreover, we report for the first time on distinct expression of long noncoding RNAs (lncRNAs) in innate vs. adaptive cells, arguing for a potential role of lncRNA in shaping human ILC biology. Altogether, our results point for unique, rather than redundant gene organization in ILCs compared to CD4 Th cells, in regard to kinetics, fine-tuning and spatial organization of the immune response.
    MeSH term(s) Adaptive Immunity ; Biomarkers ; Gene Expression Profiling ; Gene Expression Regulation ; Humans ; Immunity, Innate ; Immunophenotyping ; RNA, Untranslated ; Reproducibility of Results ; T-Lymphocyte Subsets/immunology ; T-Lymphocyte Subsets/metabolism ; T-Lymphocytes, Helper-Inducer/immunology ; T-Lymphocytes, Helper-Inducer/metabolism
    Chemical Substances Biomarkers ; RNA, Untranslated
    Language English
    Publishing date 2020-02-04
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 605722-6
    ISSN 1938-3673 ; 0741-5400
    ISSN (online) 1938-3673
    ISSN 0741-5400
    DOI 10.1002/JLB.5MA0120-209R
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  10. Article ; Online: Urine supernatant reveals a signature that predicts survival in clear-cell renal cell carcinoma.

    Daza, Jorge / Salomé, Bérengère / Okhawere, Kennedy / Bane, Octavia / Meilika, Kirolos N / Korn, Talia G / Qi, Jingjing / Xe, Hui / Patel, Manishkumar / Brody, Rachel / Kim-Schulze, Seunghee / Sfakianos, John P / Lewis, Sara / Rich, Jordan M / Zuluaga, Laura / Badani, Ketan K / Horowitz, Amir

    BJU international

    2023  Volume 132, Issue 1, Page(s) 75–83

    Abstract: Objective: To profile the cell-free urine supernatant and plasma of a small cohort of clear-cell renal cell carcinoma (ccRCC) patients by measuring the relative concentrations of 92 proteins related to inflammation. Using The Cancer Genome Atlas (TCGA), ...

    Abstract Objective: To profile the cell-free urine supernatant and plasma of a small cohort of clear-cell renal cell carcinoma (ccRCC) patients by measuring the relative concentrations of 92 proteins related to inflammation. Using The Cancer Genome Atlas (TCGA), we then performed a targeted mRNA analysis of genes encoding the above proteins and defined their effects on overall survival (OS).
    Subjects/patients and methods: Samples were collected prospectively from ccRCC patients. A multiplex proximity extension assay was used to measure the concentrations of 92 inflammation-related proteins in cell-free urine supernatants and plasma. Transcriptomic and clinical information from ccRCC patients was obtained from TCGA. Unsupervised clustering and differential protein expression analyses were performed on protein concentration data. Targeted mRNA analysis on genes encoding significant differentially expressed proteins was performed using TCGA. Backward stepwise regression analyses were used to build a nomogram. The performance of the nomogram and clinical benefit was assessed by discrimination and calibration, and a decision curve analysis, respectively.
    Results: Unsupervised clustering analysis revealed inflammatory signatures in the cell-free urine supernatant of ccRCC patients. Backward stepwise regressions using TCGA data identified transcriptomic risk factors and risk groups associated with OS. A nomogram to predict 2-year and 5-year OS was developed using these risk factors. The decision curve analysis showed that our model was associated with a net benefit improvement compared to the treat-all/none strategies.
    Conclusion: We defined four novel biomarkers using proteomic and transcriptomic data that distinguish severity of prognosis in ccRCC. We showed that these biomarkers can be used in a model to predict 2-year and 5-year OS in ccRCC across different tumour stages. This type of analysis, if validated in the future, provides non-invasive prognostic information that could inform either management or surveillance strategies for patients.
    MeSH term(s) Humans ; Carcinoma, Renal Cell/genetics ; Proteomics ; Carcinoma ; Inflammation ; Kidney Neoplasms/genetics ; Prognosis
    Language English
    Publishing date 2023-03-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 1462191-5
    ISSN 1464-410X ; 1464-4096 ; 1358-8672
    ISSN (online) 1464-410X
    ISSN 1464-4096 ; 1358-8672
    DOI 10.1111/bju.15989
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