Evidence map›Paper›PMID 35203494›Full record

ArticleBiomedicines2022

Genes Involved in Immune Reinduction May Constitute Biomarkers of Response for Metastatic Melanoma Patients Treated with Targeted Therapy.

Miguel-Angel Berciano-Guerrero, Rocío Lavado-Valenzuela, Aurelio Moya, Luis delaCruz-Merino, Fátima Toscano, Javier Valdivia, Victoria Castellón, Fernando Henao-Carrasco, Pilar Sancho, Juan-Luis Onieva-Zafra and 4 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  4. Observational
  5. 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

14 authors at 8 institutions in 1 country.

Miguel-Angel Berciano-GuerreroMedical Oncology, IBIMA, Medical Oncology Intercenter Unit, Hospital Regional Universitario de Malaga, Regional and Virgen de la Victoria University Hospitals, 29010 Málaga, Spain.ORCID 0000-0002-5437-5196
Rocío Lavado-ValenzuelaClinical and Translational Cancer Research Group, IBIMA, 29010 Málaga, Spain.
Aurelio MoyaCancer Molecular Biology Lab, 29010 Málaga, Spain.ORCID 0000-0002-0567-0949
Luis delaCruz-MerinoMedical Oncology, Virgen Macarena University Hospital, 41009 Seville, Spain.ORCID 0000-0002-5333-0535
Fátima ToscanoMedical Oncology, Hospital Juan Ramon Jimenez, 21005 Huelva, Spain.
Javier ValdiviaService of Medical Oncology, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain.
Victoria CastellónMedical Oncology, Complejo Hospitalario Torrecardenas, 04009 Almería, Spain.
Fernando Henao-CarrascoMedical Oncology, Virgen Macarena University Hospital, 41009 Seville, Spain.
Pilar SanchoMedical Oncology, Hospital Universitario Virgen del Rocio, 41013 Seville, Spain.
Juan-Luis Onieva-ZafraMedical Oncology, IBIMA, Medical Oncology Intercenter Unit, Hospital Regional Universitario de Malaga, Regional and Virgen de la Victoria University Hospitals, 29010 Málaga, Spain.ORCID 0000-0001-8976-8099
Ismael Navas-DelgadoKhaos Research, University of Malaga, 29010 Málaga, Spain.ORCID 0000-0001-7819-5416
Antonio Rueda-DominguezMedical Oncology, IBIMA, Medical Oncology Intercenter Unit, Hospital Regional Universitario de Malaga, Regional and Virgen de la Victoria University Hospitals, 29010 Málaga, Spain.
Elisabeth Perez-RuizMedical Oncology, IBIMA, Medical Oncology Intercenter Unit, Hospital Regional Universitario de Malaga, Regional and Virgen de la Victoria University Hospitals, 29010 Málaga, Spain.ORCID 0000-0001-7204-0800
Emilio AlbaMedical Oncology, IBIMA, Medical Oncology Intercenter Unit, Hospital Regional Universitario de Malaga, Regional and Virgen de la Victoria University Hospitals, 29010 Málaga, Spain.
Hospital Regional Universitario de Málaga · ESHospital Universitario Virgen Macarena · ESUniversidad de Málaga · ESComplejo Hospitalario Torrecárdenas · ESHospital Juan Ramón Jiménez · ESHospital Universitario Virgen de las Nieves · ESHospital Universitario Virgen del Rocío · ESInstituto de Investigación Biomédica de Málaga · ES

Funding

Regional Government of Andalusia PI-0161-2014
6 · The paper itself

Abstract

Targeted therapy in metastatic melanoma often achieves a major tumour regression response and significant long-term survival via the release of antigens that reinduce immunocompetence. The biomarkers thus activated may guide the prediction of response, but this association and its mechanism have yet to be established. Blood samples were collected from nineteen consecutive patients with metastatic melanoma before, during, and after treatment with targeted therapy. Differential gene expression analysis was performed, which identified the genes involved in the treatment, both in the first evaluation of response and during progression. Although clinical characteristics of the patients were poorer than those obtained in pivotal studies, radiological responses were similar to those reported previously (objective response rate: 73.7%). In the first tumour assessment, the expression of some genes increased (CXCL-10, SERPING1, PDL1, and PDL2), while that of others decreased (ARG1, IL18R1, IL18RAP, IL1R1, ILR2, FLT3, SLC11A1, CD163, and S100A12). The analysis of gene expression in blood shows that some are activated and others inhibited by targeted therapy. This response pattern may provide biomarkers of the immune reinduction response, which could be used to study potential combination treatments. Nevertheless, further studies are needed to validate these results.

Indexed as

biomarkerimmunologymelanomatargeted therapy

Identifiers

PMID35203494
PMCPMC8869294
OpenAlexW4210461811

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.