Evidence map›Paper›PMID 17934731›Full record

ArticleCancer immunology, immunotherapy : CII2008

Characterization of HLA class I altered phenotypes in a panel of human melanoma cell lines.

Rosa Méndez, Teresa Rodríguez, Ana Del Campo, Eva Monge, Isabel Maleno, Natalia Aptsiauri, Pilar Jiménez, Susana Pedrinaci, Graham Pawelec, Francisco Ruiz-Cabello and 1 more

Abstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
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

34 citing papers in PubMed.

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  14. Adaptive Resistance to Cancer Immunotherapy.Advances in experimental medicine and biology · 2017
    Review
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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

11 authors.

Rosa MéndezDepartamento de Análisis Clínicos, Hospital Universitario Virgen de las Nieves, Universidad de Granada, Avd. Fuerzas Armadas 2, 18014, Granada, Spain.
Teresa Rodríguez
Ana Del Campo
Eva Monge
Isabel Maleno
Natalia Aptsiauri
Pilar Jiménez
Susana Pedrinaci
Graham Pawelec
Francisco Ruiz-Cabello
Federico Garrido

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAltered HLA class I cell surface expression is one of the major mechanisms by which tumor cells escape from T lymphocytes. Immunohistochemistry-defined phenotypes of lost HLA class I expression have been described in human solid tumors, nut less information is available on melanoma cell lines.

objectivesTo describe the frequency and distribution of different types of HLA class I antigen alterations in 91 melanoma cell lines from the European Searchable Tumour Cell and Databank (ESTDAB).

methodsThe HLA class I expression was assessed by flow cytometry and HLA genotyping.

resultsWe found various types of HLA class I cell surface alterations in about 67% of the melanoma cell lines. These alterations range from total to selective HLA class I loss due to loss of heterozygosity (LOH), haplotype loss, beta2-microglobulin gene mutation, and/or total or selective down-regulation of HLA class I molecules. The most frequently observed phenotype is down-regulation of HLA-B locus that was reversible after treatment with IFN -gamma.

conclusionsIn general, HLA class I alterations in the majority of the cells analyzed were of regulatory nature and could be restored by IFN-gamma. Analysis of the frequency of distinct HLA class I altered phenotypes in these melanoma cell lines revealed specific differences compared to other types of tumors.

Indexed as

PhenotypeCell Line, TumorFlow CytometryGene ExpressionHistocompatibility Antigens Class IHumansMelanomaMicrosatellite RepeatsReverse Transcriptase Polymerase Chain ReactionHistocompatibility Antigens Class I

Identifiers

PMID17934731
PMCPMC11030649

What OpenQuestion holds

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Registered trials

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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.