Predicting developmental relationships of tumor resident and circulating T cells in ovarian cancer
暂无分享,去创建一个
A. Mes-Masson | D. Provencher | S. Petropoulos | J. Cailhier | R. Lapointe | J. Stagg | K. Rahimi | B. Cormier | M. Carneiro | Y. Bareche | P. Thébault | Cheng-Yuan Zhao | V. Samouélian
[1] J. Blay,et al. Pembrolizumab in soft-tissue sarcomas with tertiary lymphoid structures: a phase 2 PEMBROSARC trial cohort , 2022, Nature Medicine.
[2] Brady Bernard,et al. Transcriptomic profiles of neoantigen-reactive T cells in human gastrointestinal cancers. , 2022, Cancer cell.
[3] I. Amit,et al. The interaction of CD4+ helper T cells with dendritic cells shapes the tumor microenvironment and immune checkpoint blockade response , 2022, Nature Cancer.
[4] P. Laurent-Puig,et al. Tertiary lymphoid structures generate and propagate anti-tumor antibody-producing plasma cells in renal cell cancer. , 2022, Immunity.
[5] Marieke E. Ijsselsteijn,et al. Tumor-specific T cells support chemokine-driven spatial organization of intratumoral immune microaggregates needed for long survival , 2022, Journal for ImmunoTherapy of Cancer.
[6] T. Schumacher,et al. Tertiary lymphoid structures in cancer , 2022, Science.
[7] Xueda Hu,et al. Pan-cancer single-cell landscape of tumor-infiltrating T cells , 2021, Science.
[8] D. Vignali,et al. Microbiota-specific T follicular helper cells drive tertiary lymphoid structures and anti-tumor immunity against colorectal cancer. , 2021, Immunity.
[9] Nikhil S. Joshi,et al. A reservoir of stem-like CD8+ T cells in the tumor-draining lymph node preserves the ongoing antitumor immune response , 2021, Science Immunology.
[10] R. V. van Lier,et al. Hobit identifies tissue-resident memory T cell precursors that are regulated by Eomes , 2021, Science Immunology.
[11] I. Soubeyran,et al. Mature tertiary lymphoid structures predict immune checkpoint inhibitor efficacy in solid tumors independently of PD-L1 expression , 2021, Nature Cancer.
[12] Zhenyu Liao,et al. Follicular Helper T Cells Remodel the Immune Microenvironment of Pancreatic Cancer via Secreting CXCL13 and IL-21 , 2021, Cancers.
[13] P. Neven,et al. A single-cell map of intratumoral changes during anti-PD1 treatment of patients with breast cancer , 2021, Nature Medicine.
[14] R. Bourgon,et al. Single-cell dissection of cellular components and interactions shaping the tumor immune phenotypes in ovarian cancer. , 2021, Cancer cell.
[15] E. Wherry,et al. Memory T-Cell Heterogeneity and Terminology. , 2021, Cold Spring Harbor perspectives in biology.
[16] M. H. Cheng,et al. HLA class I-associated expansion of TRBV11-2 T cells in Multisystem Inflammatory Syndrome in Children. , 2021, The Journal of clinical investigation.
[17] T. Mora,et al. Contribution of resident and circulating precursors to tumor-infiltrating CD8+ T cell populations in lung cancer , 2021, Science Immunology.
[18] M. Kaplan,et al. Tissue-resident CD4+ T helper cells assist the development of protective respiratory B and CD8+ T cell memory responses , 2021, Science Immunology.
[19] E. A. Moreira,et al. T resident helper cells promote humoral responses in the lung , 2021, Science Immunology.
[20] Nikhil S. Joshi,et al. Neoantigen-driven B cell and CD4 T follicular helper cell collaboration promotes anti-tumor CD8 T cell responses , 2021, Cell.
[21] K. Odunsi,et al. CXCR6 by increasing retention of memory CD8+ T cells in the ovarian tumor microenvironment promotes immunosurveillance and control of ovarian cancer , 2020, Journal for ImmunoTherapy of Cancer.
[22] Maxim N. Artyomov,et al. Comprehensive Profiling of an Aging Immune System Reveals Clonal GZMK+ CD8+ T Cells as Conserved Hallmark of Inflammaging. , 2020, Immunity.
[23] A. N. Davydov,et al. Two subsets of stem-like CD8+ memory T cell progenitors with distinct fate commitments in humans , 2020, Nature Immunology.
[24] C. Brander,et al. TOX is expressed by exhausted and polyfunctional human effector memory CD8+ T cells , 2020, Science Immunology.
[25] D. Lambrechts,et al. A pan-cancer blueprint of the heterogeneous tumor microenvironment revealed by single-cell profiling , 2020, Cell Research.
[26] E. Wherry,et al. Developmental Relationships of Four Exhausted CD8+ T Cell Subsets Reveals Underlying Transcriptional and Epigenetic Landscape Control Mechanisms. , 2020, Immunity.
[27] D. Schadendorf,et al. Tertiary lymphoid structures improve immunotherapy and survival in melanoma , 2020, Nature.
[28] J. Wargo,et al. B cells are associated with survival and immunotherapy response in sarcoma , 2020, Nature.
[29] P. Klenerman,et al. Peripheral CD8+ T cell characteristics associated with durable responses to immune checkpoint blockade in patients with metastatic melanoma , 2019, Nature Medicine.
[30] Y. Saeys,et al. NicheNet: modeling intercellular communication by linking ligands to target genes , 2019, Nature Methods.
[31] A. Kamphorst,et al. An intra-tumoral niche maintains and differentiates stem-like CD8 T cells , 2019, Nature.
[32] Nathan Salomonis,et al. DoubletDecon: Deconvoluting Doublets from Single-Cell RNA-Sequencing Data , 2019, Cell reports.
[33] D. Larsimont,et al. Tumor infiltrating B-cells signal functional humoral immune responses in breast cancer. , 2019, JCI insight.
[34] Howard Y. Chang,et al. Clonal replacement of tumor-specific T cells following PD-1 blockade , 2019, bioRxiv.
[35] Fabian J Theis,et al. PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells , 2019, Genome biology.
[36] R. Satija,et al. Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression , 2019, Genome Biology.
[37] Trevor J Pugh,et al. An interim report on the investigator-initiated phase 2 study of pembrolizumab immunological response evaluation (INSPIRE) , 2019, Journal of Immunotherapy for Cancer.
[38] Paul J. Hoover,et al. Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma , 2019, Cell.
[39] A. Butte,et al. Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage , 2018, Nature Immunology.
[40] Fan Zhang,et al. Fast, sensitive, and accurate integration of single cell data with Harmony , 2018, bioRxiv.
[41] Christoph Hafemeister,et al. Comprehensive integration of single cell data , 2018, bioRxiv.
[42] Huanming Yang,et al. PIRD: Pan immune repertoire database , 2018, bioRxiv.
[43] B. Fox,et al. Co-expression of CD39 and CD103 identifies tumor-reactive CD8 T cells in human solid tumors , 2018, Nature Communications.
[44] Samuel L. Wolock,et al. Scrublet: computational identification of cell doublets in single-cell transcriptomic data , 2018, bioRxiv.
[45] Boxi Kang,et al. Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing , 2018, Nature Medicine.
[46] A. Jemal,et al. Ovarian cancer statistics, 2018 , 2018, CA: a cancer journal for clinicians.
[47] M. Fehlings,et al. Bystander CD8+ T cells are abundant and phenotypically distinct in human tumour infiltrates , 2018, Nature.
[48] E. Sahai,et al. NK Cells Stimulate Recruitment of cDC1 into the Tumor Microenvironment Promoting Cancer Immune Control , 2018, Cell.
[49] Fabian J Theis,et al. SCANPY: large-scale single-cell gene expression data analysis , 2018, Genome Biology.
[50] Jaime Prilusky,et al. McPAS‐TCR: a manually curated catalogue of pathology‐associated T cell receptor sequences , 2017, Bioinform..
[51] D. Larsimont,et al. CXCL13-producing TFH cells link immune suppression and adaptive memory in human breast cancer. , 2017, JCI insight.
[52] Lifeng Lin,et al. Alternative measures of between‐study heterogeneity in meta‐analysis: Reducing the impact of outlying studies , 2017, Biometrics.
[53] A. Elkahloun,et al. The TCF1-Bcl6 axis counteracts type I interferon to repress exhaustion and maintain T cell stemness , 2016, Science Immunology.
[54] Sandra P. Calderon-Copete,et al. T Cell Factor 1-Expressing Memory-like CD8(+) T Cells Sustain the Immune Response to Chronic Viral Infections. , 2016, Immunity.
[55] C. Sautès-Fridman,et al. Tertiary lymphoid structures, drivers of the anti‐tumor responses in human cancers , 2016, Immunological reviews.
[56] W. Shi,et al. Hobit and Blimp1 instruct a universal transcriptional program of tissue residency in lymphocytes , 2016, Science.
[57] P. Linsley,et al. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data , 2015, Genome Biology.
[58] B. Nelson. New insights into tumor immunity revealed by the unique genetic and genomic aspects of ovarian cancer. , 2015, Current opinion in immunology.
[59] J. Cyster,et al. 25-Hydroxycholesterols in innate and adaptive immunity , 2014, Nature Reviews Immunology.
[60] Grzegorz A Rempala,et al. Methods for diversity and overlap analysis in T-cell receptor populations , 2012, Journal of Mathematical Biology.
[61] Benjamin Haibe-Kains,et al. CD4⁺ follicular helper T cell infiltration predicts breast cancer survival. , 2013, The Journal of clinical investigation.
[62] Michael Borenstein,et al. Meta-Analysis and Subgroups , 2013, Prevention Science.
[63] J. Gustafsson,et al. Oxysterol gradient generation by lymphoid stromal cells guides activated B cell movement during humoral responses. , 2012, Immunity.
[64] Y. Takahama,et al. XCL1 and XCR1 in the immune system. , 2012, Microbes and infection.
[65] Grégoire Altan-Bonnet,et al. Chemokines enhance immunity by guiding naive CD8+ T cells to sites of CD4+ T cell–dendritic cell interaction , 2006, Nature.
[66] A Whitehead,et al. A general parametric approach to the meta-analysis of randomized clinical trials. , 1991, Statistics in medicine.