Evidence mapPaperPMID 40948783Full record

ReviewFrontiers in immunology2025

Diagnosis of cancer, autoimmune and infectious diseases and prediction of the therapy effectiveness based on the individual's immunotype.

Dmitry V Tabakov, Anna A Maznina, Ekaterina A Astakhova, Anastasia E Egorova, Elena N Zakharova, Olga V Glushkova, Ekaterina S Petriaikina, Dmitry V Svetlichnyy, Julia A Krupinova, Viktor P Bogdanov and 6 more

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

16 authors.

Dmitry V Tabakov *Federal State Budgetary Scientific Institution "Federal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies", Moscow, Russia.
Anna A Maznina *Federal State Budgetary Scientific Institution "Federal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies", Moscow, Russia.
Ekaterina A AstakhovaFederal State Budgetary Scientific Institution "Federal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies", Moscow, Russia.
Anastasia E EgorovaFederal State Budgetary Scientific Institution "Federal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies", Moscow, Russia.
Elena N ZakharovaFederal State Budgetary Scientific Institution "Petrovsky National Research Centre of Surgery", Moscow, Russia.
Olga V GlushkovaFederal State Budgetary Institution «Centre for Strategic Planning and Management of Biomedical Health Risks» of the Federal Medical and Biological Agency (Centre for Strategic Planning, of the Federal Medical and Biological Agency), Moscow, Russia.
Ekaterina S PetriaikinaFederal State Budgetary Institution «Centre for Strategic Planning and Management of Biomedical Health Risks» of the Federal Medical and Biological Agency (Centre for Strategic Planning, of the Federal Medical and Biological Agency), Moscow, Russia.
Dmitry V SvetlichnyyFederal State Budgetary Institution «Centre for Strategic Planning and Management of Biomedical Health Risks» of the Federal Medical and Biological Agency (Centre for Strategic Planning, of the Federal Medical and Biological Agency), Moscow, Russia.
Julia A KrupinovaFederal State Budgetary Scientific Institution "Federal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies", Moscow, Russia.
Viktor P BogdanovFederal State Budgetary Scientific Institution "Federal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies", Moscow, Russia.
Vladimir S YudinFederal State Budgetary Institution «Centre for Strategic Planning and Management of Biomedical Health Risks» of the Federal Medical and Biological Agency (Centre for Strategic Planning, of the Federal Medical and Biological Agency), Moscow, Russia.
Anton A KeskinovFederal State Budgetary Institution «Centre for Strategic Planning and Management of Biomedical Health Risks» of the Federal Medical and Biological Agency (Centre for Strategic Planning, of the Federal Medical and Biological Agency), Moscow, Russia.
Sergey M YudinFederal State Budgetary Institution «Centre for Strategic Planning and Management of Biomedical Health Risks» of the Federal Medical and Biological Agency (Centre for Strategic Planning, of the Federal Medical and Biological Agency), Moscow, Russia.
Mary WoroncowMoscow Center for Advanced Studies, Moscow, Russia.
Veronika I SkvortsovaThe Federal Medical Biological Agency (FMBA of Russia), Moscow, Russia.
Pavel Yu VolchkovFederal State Budgetary Scientific Institution "Federal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies", Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune system plays a central role in the pathogenesis of cancer and autoimmune diseases. An entire field has emerged to identify separate minor cell subpopulations carrying potential molecular targets or activation markers to study their prognostic role in disease progression and severity or predictive potential to use immunotherapy. However, the biomarker potential of minor populations is limited, as it does not take into account systemic interactions between populations of the immune system. A number of studies in the COVID era have shown that the certain balance between immune cell populations in donor's blood, called 'immunotype', can predict the outcome of treatment and the onset of a cytokine storm. This observation was extended to other diseases, including cancer and autoimmunity. It was shown that the immunotype can be used to diagnose both the presence of the disease itself, as well as its form or progression, to stratify patients in the risk groups and to predict the effectiveness of therapy. The most important advantages of immunotype-based diagnostics are its low invasiveness, the possibility of multiple biomaterial sampling, and the complexity of the analysis by the simultaneous assessment of blood cell composition and their functional activity. In this review, we summarize currently available studies of immunotypes and defined key subpopulations, their possible impact in diagnostics and personalization of the therapy in clinical routine practice in various diseases.

Indexed as

Autoimmune DiseasesCommunicable DiseasesNeoplasmsBiomarkersCOVID-19HumansImmunotherapyPrognosisSARS-CoV-2Treatment OutcomeBiomarkersautoimmune diseasecancerimmune systemimmunophenotypingimmunotype

Identifiers

PMID40948783
PMCPMC12426057

What Socratic 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 Socratic graph.