Evidence map›Paper›PMID 27625650›Full record

ArticleFrontiers in immunology2016

A Well-Controlled Experimental System to Study Interactions of Cytotoxic T Lymphocytes with Tumor Cells.

Natalie J Neubert, Charlotte Soneson, David Barras, Petra Baumgaertner, Donata Rimoldi, Mauro Delorenzi, Silvia A Fuertes Marraco, Daniel E Speiser

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 24 citations in OpenAlex.

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  13. Artificial T Cell Mimetics to Combat Melanoma Tumor Growth.American journal of advanced drug delivery · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Natalie J NeubertDepartment of Oncology, Ludwig Center for Cancer Research, University of Lausanne , Epalinges , Switzerland.
Charlotte SonesonBioinformatics Core Facility, SIB Swiss Institute of Bioinformatics , Lausanne , Switzerland.
David BarrasBioinformatics Core Facility, SIB Swiss Institute of Bioinformatics , Lausanne , Switzerland.
Petra BaumgaertnerDepartment of Oncology, Ludwig Center for Cancer Research, University of Lausanne , Epalinges , Switzerland.
Donata RimoldiDepartment of Oncology, Ludwig Center for Cancer Research, University of Lausanne , Epalinges , Switzerland.
Mauro DelorenziDepartment of Oncology, Ludwig Center for Cancer Research, University of Lausanne, Epalinges, Switzerland; Bioinformatics Core Facility, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Silvia A Fuertes MarracoDepartment of Oncology, Ludwig Center for Cancer Research, University of Lausanne , Epalinges , Switzerland.
Daniel E SpeiserDepartment of Oncology, Ludwig Center for Cancer Research, University of Lausanne , Epalinges , Switzerland.
University of Lausanne · CHSIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While T cell-based immunotherapies are steadily improving, there are still many patients who progress, despite T cell-infiltrated tumors. Emerging evidence suggests that T cells themselves may provoke immune escape of cancer cells. Here, we describe a well-controlled co-culture system for studying the dynamic T cell - cancer cell interplay, using human melanoma as a model. We explain starting material, controls, and culture parameters to establish reproducible and comparable cultures with highly heterogeneous tumor cells. Low passage melanoma cell lines and melanoma-specific CD8+ T cell clones generated from patient blood were cultured together for up to 3 days. Living melanoma cells were isolated from the co-culture system by fluorescence-activated cell sorting. We demonstrate that the characterization of isolated melanoma cells is feasible using flow cytometry for protein expression analysis as well as an Agilent whole human genome microarray and the NanoString technology for differential gene expression analysis. In addition, we identify five genes (ALG12, GUSB, RPLP0, KRBA2, and ADAT2) that are stably expressed in melanoma cells independent of the presence of T cells or the T cell-derived cytokines IFNγ and TNFα. These genes are essential for correct normalization of gene expression data by NanoString. Further to the characterization of melanoma cells after exposure to CTLs, this experimental system might be suitable to answer a series of questions, including how the affinity of CTLs for their target antigen influences the melanoma cell response and whether CTL-induced gene expression changes in melanoma cells are reversible. Taken together, our human T cell - melanoma cell culture system is well suited to characterize immune-related mechanisms in cancer cells.

Indexed as

antigen-specificCD8+ T cellco-culturemelanomaNanoString

Identifiers

PMID27625650
PMCPMC5003846
OpenAlexW2514623993

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.