Evidence map›Paper›PMID 24194775›Full record

ArticleClinical & developmental immunology2013

A full GMP process to select and amplify epitope-specific T lymphocytes for adoptive immunotherapy of metastatic melanoma.

N Labarriere, A Fortun, A Bellec, A Khammari, B Dreno, S Saïagh, F Lang

Open access · goldAbstract read
In one paragraph

Article in Clinical & developmental immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

N LabarriereInserm, U892, 44000 Nantes, France ; Université de Nantes, 44000 Nantes, France ; CNRS, UMR 6299, 44000 Nantes, France.
A Fortun
A Bellec
A Khammari
B Dreno
S Saïagh
F Lang
Centre National de la Recherche Scientifique · FRGene Therapy Laboratory · FRCentre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers · FRNantes Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of trials of adoptive transfer of tumor-specific T lymphocytes have been performed in the last 20 years in metastatic melanoma, with increasingly encouraging results as the relevant melanoma antigens were identified and the purity/specificity of injected T cells improved. We have previously described a sorting method of epitope-specific T lymphocytes that uses magnetic beads coated with HLA/peptide complexes and we suggested that this method could be applied to a clinical setting. In the present work, we provide a detailed description of the whole GMP process of sorting and amplification of clinical grade T cells specific for the melanoma antigens Melan-A and MELOE-1. All the reagents used in this process including the sorting reagent were produced in GMP conditions and we document the optimization of the different steps of the process such as peptide stimulation, sorting, and amplification. The optimized procedure, validated in 3 blank runs in a clinical setting, allowed the production of at least 10⁸ pure (>90%) Melan-A- and MELOE-1-specific T cells within 28 days starting with 100 mL of blood from metastatic melanoma patients. This GMP process is thus ready to be used in an upcoming phase I/II clinical trial on metastatic melanoma patients.

Indexed as

Cell Line, TumorEpitopes, T-LymphocyteHLA-A2 AntigenHumansImmunotherapy, AdoptiveLymphocyte ActivationMART-1 AntigenMelanomaNeoplasm MetastasisPeptidesT-LymphocytesEpitopes, T-LymphocyteHLA-A2 AntigenMART-1 AntigenPeptides

Identifiers

PMID24194775
PMCPMC3806119
OpenAlexW2111333846

What OpenQuestion holds

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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.