Evidence map›Paper›PMID 25590298›Full record

ReviewInternational journal of molecular sciences2015

Mechanisms and applications of interleukins in cancer immunotherapy.

Doxakis Anestakis, Savvas Petanidis, Spyridon Kalyvas, Christiane M Nday, Olga Tsave, Efrosini Kioseoglou, Athanasios Salifoglou

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. Interleukin-17A mRNA Expression is Associated with the Prognosis of Patients with Colorectal Cancer: A Pooled Meta-Analysis.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2022
    Pooled it
  2. Article
  3. Review
  4. Extracellular vesicle-based drug delivery in cancer immunotherapy.Drug delivery and translational research · 2023
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Current Perspectives on the Immunosuppressive Niche and Role of Fibrosis in Hepatocellular Carcinoma and the Development of Antitumor Immunity.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2022
    Review
  10. Review
  11. The role of various interleukins in acute myeloid leukemia.Medical oncology (Northwood, London, England) · 2021
    Review
  12. Review
  13. Article
  14. Review
  15. The quest to slow ageing through drug discovery.Nature reviews. Drug discovery · 2020
    Review
  16. Review
  17. Review
  18. Article
  19. The making and function of CAR cells.Immunology letters · 2019
    Review
  20. Article
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 2 institutions in 1 country.

Doxakis AnestakisLaboratory of General Biology, Medical School, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece. anestaki@auth.gr.
Savvas PetanidisDepartment of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece. spetanid@auth.gr.
Spyridon KalyvasDepartment of Internal Medicine, General Hospital of Halkidiki, Poligiros 63100, Greece. roskal@otenet.gr.
Christiane M NdayDepartment of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece. christiane.nday@yahoo.com.
Olga TsaveDepartment of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece. tsaveolga@gmail.com.
Efrosini KioseoglouDepartment of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece. efi.kioseoglou@gmail.com.
Athanasios SalifoglouDepartment of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece. salif@auth.gr.
Aristotle University of Thessaloniki · GRGeneral Hospital of Attica · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past years, advances in cancer immunotherapy have resulted in innovative and novel approaches in molecular cancer diagnostics and cancer therapeutic procedures. However, due to tumor heterogeneity and inter-tumoral discrepancy in tumor immunity, the clinical benefits are quite restricted. The goal of this review is to evaluate the major cytokines-interleukins involved in cancer immunotherapy and project their basic biochemical and clinical applications. Emphasis will be given to new cytokines in pre-clinical development, and potential directions for future investigation using cytokines. Furthermore, current interleukin-based approaches and clinical trial data from combination cancer immunotherapies will also be discussed. It appears that continuously increasing comprehension of cytokine-induced effects, cancer stemness, immunoediting, immune-surveillance as well as understanding of molecular interactions emerging in the tumor microenvironment and involving microRNAs, autophagy, epithelial-mesenchymal transition (EMT), inflammation, and DNA methylation processes may hold much promise in improving anti-tumor immunity. To this end, the emerging in-depth knowledge supports further studies on optimal synergistic combinations and additional adjuvant therapies to realize the full potential of cytokines as immunotherapeutic agents.

Indexed as

AnimalsDNA MethylationEpithelial-Mesenchymal TransitionGene Expression Regulation, NeoplasticHumansImmunotherapyInterleukinsMicroRNAsNeoplasmsTumor MicroenvironmentInterleukinsMicroRNAs

Identifiers

PMID25590298
PMCPMC4307328
OpenAlexW2035730263

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.