Melanomas resist T-cell therapy through inflammation-induced reversible dedifferentiation (Q39262830)

10 September 2017

Melanomas resist T-cell therapy through inflammation-induced reversible dedifferentiation (English)

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10 September 2017

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Tobias Bald

4

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author name string

Jennifer Landsberg

1

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10 September 2017

Judith Kohlmeyer

2

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10 September 2017

Marcel Renn

3

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10 September 2017

Meri Rogava

5

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10 September 2017

Mira Cron

6

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10 September 2017

Martina Fatho

7

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10 September 2017

Volker Lennerz

8

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10 September 2017

Thomas Wölfel

9

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10 September 2017

Michael Hölzel

10

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10 September 2017

Thomas Tüting

11

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10 September 2017

language of work or name

English

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publication date

10 October 2012

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10 September 2017

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10 September 2017

490

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10 September 2017

7420

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10 September 2017

412-416

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https://scigraph.springernature.com/pub.10.1038/nature11538

10 September 2017

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cites work

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Natural selection of tumor variants in the generation of "tumor escape" phenotypes

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Cancer exome analysis reveals a T-cell-dependent mechanism of cancer immunoediting

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Expression of tumour-specific antigens underlies cancer immunoediting

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Sporadic immunogenic tumours avoid destruction by inducing T-cell tolerance.

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Adoptive T cell therapy using antigen-specific CD8+ T cell clones for the treatment of patients with metastatic melanoma: in vivo persistence, migration, and antitumor effect of transferred T cells

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Cancer regression and autoimmunity in patients after clonal repopulation with antitumor lymphocytes

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Autochthonous primary and metastatic melanomas in Hgf-Cdk4 R24C mice evade T-cell-mediated immune surveillance.

21 January 2018

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A p16INK4a-insensitive CDK4 mutant targeted by cytolytic T lymphocytes in a human melanoma

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Complete regression of advanced primary and metastatic mouse melanomas following combination chemoimmunotherapy.

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Coordinated regulation of myeloid cells by tumours

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The response of autologous T cells to a human melanoma is dominated by mutated neoantigens

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Cancer regression in patients after transfer of genetically engineered lymphocytes

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Gene therapy with human and mouse T-cell receptors mediates cancer regression and targets normal tissues expressing cognate antigen

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Tumor regression in patients with metastatic synovial cell sarcoma and melanoma using genetically engineered lymphocytes reactive with NY-ESO-1

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Antitumor activity from antigen-specific CD8 T cells generated in vivo from genetically engineered human hematopoietic stem cells.

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Antigen spreading contributes to MAGE vaccination-induced regression of melanoma metastases

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Blockade of programmed death ligand 1 enhances the therapeutic efficacy of combination immunotherapy against melanoma

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Safety, activity, and immune correlates of anti-PD-1 antibody in cancer

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Safety and Activity of Anti–PD-L1 Antibody in Patients with Advanced Cancer

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Colocalization of inflammatory response with B7-h1 expression in human melanocytic lesions supports an adaptive resistance mechanism of immune escape

21 January 2018

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Adaptive immunity maintains occult cancer in an equilibrium state

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Cancer immunoediting: integrating immunity's roles in cancer suppression and promotion

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Human melanoma-initiating cells express neural crest nerve growth factor receptor CD271

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Tumour micro-environment elicits innate resistance to RAF inhibitors through HGF secretion

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Rapid growth of invasive metastatic melanoma in carcinogen-treated hepatocyte growth factor/scatter factor-transgenic mice carrying an oncogenic CDK4 mutation

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Tumor regression and autoimmunity after reversal of a functionally tolerant state of self-reactive CD8+ T cells.

21 January 2018

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The use of HLA-A*0201-transfected K562 as standard antigen-presenting cells for CD8(+) T lymphocytes in IFN-gamma ELISPOT assays

21 January 2018

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Bioconductor: open software development for computational biology and bioinformatics

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beadarray: R classes and methods for Illumina bead-based data.

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Variance stabilization applied to microarray data calibration and to the quantification of differential expression

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Independent filtering increases detection power for high-throughput experiments

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Using GOstats to test gene lists for GO term association

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Identifiers

DOI

10.1038/NATURE11538

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Dimensions Publication ID

10 September 2017

1001689247

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Fatcat ID

release_u3z34qlgrvhm7dzxzjx6pzw7fa

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1 reference