Evidence map›Paper›PMID 29849947›Full record

ArticleOncotarget2018

Immunological monitoring for prediction of clinical response to antitumor vaccine therapy.

Irina N Mikhaylova, Irina Zh Shubina, George Z Chkadua, Natalia N Petenko, Lidia F Morozova, Olga S Burova, Robert Sh Beabelashvili, Kermen A Parsunkova, Natalia V Balatskaya, Dmitrii K Chebanov and 7 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

17 authors at 6 institutions in 3 countries.

Irina N MikhaylovaN.N. Blokhin Russian Cancer Research Center, Moscow, Russia.
Irina Zh ShubinaN.N. Blokhin Russian Cancer Research Center, Moscow, Russia.
George Z ChkaduaN.N. Blokhin Russian Cancer Research Center, Moscow, Russia.
Natalia N PetenkoN.N. Blokhin Russian Cancer Research Center, Moscow, Russia.
Lidia F MorozovaN.N. Blokhin Russian Cancer Research Center, Moscow, Russia.
Olga S BurovaN.N. Blokhin Russian Cancer Research Center, Moscow, Russia.
Robert Sh BeabelashviliLaboratory of Genetic Engineering, Institute of Experimental Cardiology, Russian Cardiological Research and Production Complex, Moscow, Russia.
Kermen A ParsunkovaDiagnostic Laboratory Clinical Center "Optimum", Sochi, Russia.
Natalia V BalatskayaDepartment of Immunology and Virology, Moscow Helmholtz Research Institute of Eye Diseases, Moscow, Russia.
Dmitrii K ChebanovRUDN University, Moscow, Russia.
Vadim I Pospelov"Genetic Technologies and Analyses", Moscow, Russia.
Valeria V NazarovaN.N. Blokhin Russian Cancer Research Center, Moscow, Russia.
Anastasia S VihrovaN.N. Blokhin Russian Cancer Research Center, Moscow, Russia.
Evgeny A CheremushkinN.N. Blokhin Russian Cancer Research Center, Moscow, Russia.
Alvina A MolodykN.N. Blokhin Russian Cancer Research Center, Moscow, Russia.
Mikhail V KiselevskyN.N. Blokhin Russian Cancer Research Center, Moscow, Russia.
Lev V DemidovN.N. Blokhin Russian Cancer Research Center, Moscow, Russia.
Russian Cancer Research Center NN Blokhin · RUConsultative and Diagnostic Center · RUHelmholtz Moscow Research Institute of Eye Diseases · RUInstitute of Experimental Cardiology · RUResearch Centre for Medical Genetics · RURussian New University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy has shown promising results in a variety of cancers, including melanoma. However, the responses to therapy are usually heterogeneous, and understanding the factors affecting clinical outcome is still not achieved. Here, we show that immunological monitoring of the vaccine therapy for melanoma patients may help to predict the clinical course of the disease. We studied cytokine profile of cellular Th1 (IL-2, IL-12, IFN-γ) and humoral Th2 (IL-4, IL-10) immune response, vascular endothelial growth factor (VEGFA), transforming growth factor-β 2 (TGF-β 2), S100 protein (S100A1B and S100BB), adhesion molecule CD44 and serum cytokines β2-microglobulin to analyze different peripheral blood mononuclear cell subpopuations of patients treated with dendritic vaccines and/or cyclophosphamide in melanoma patients in the course of adjuvant treatment. The obtained data indicate predominance of cellular immunity in the first adjuvant group of patients with durable time to progression and shift to humoral with low cellular immunity in patients with short-term period to progression (increased levels of IL-4 and IL- 10). Beta-2 microglobulin was differentially expressed in adjuvant subgroups: its higher levels correlated with shorter progression-free survival and the total follow-up time. Immunoregulatory index was overall higher in patients with disease progression compared to the group of patients with no signs of disease progression.

Indexed as

B2-microglobulincancer vaccine therapymelanomapredictive markers

Identifiers

PMID29849947
PMCPMC5966268
OpenAlexW2801375800

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.