Evidence map›Paper›PMID 37298470›Full record

ReviewInternational journal of molecular sciences2023

NK Cells in Cancer: Mechanisms of Dysfunction and Therapeutic Potential.

Federica Portale, Diletta Di Mitri

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
12.7field-weighted citation impact, top 1% 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

70 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
  2. Review
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  10. Review
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  12. Metabolic Cross Talk in the Tumor Microenvironment.Cancer treatment and research · 2026
    Review
  13. Review
  14. Linking tumour angiogenesis and tumour immunity.Nature reviews. Immunology · 2026
    Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review

10 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Federica PortaleTumor Microenviroment Unit, IRCCS Humanitas Research Hospital, 20089 Milan, Italy.
Diletta Di MitriTumor Microenviroment Unit, IRCCS Humanitas Research Hospital, 20089 Milan, Italy.
IRCCS Humanitas Research Hospital · IT

Funding

Italian Association for Cancer Research 19141Italian Association for Cancer Research 22757Italian Association for Cancer Research 27673Ministero della Salute Gr-2016-02363531
6 · The paper itself

Abstract

Natural killer cells (NK) are innate lymphocytes endowed with the ability to recognize and kill cancer cells. Consequently, adoptive transfer of autologous or allogeneic NK cells represents a novel opportunity in cancer treatment that is currently under clinical investigation. However, cancer renders NK cells dysfunctional, thus restraining the efficacy of cell therapies. Importantly, extensive effort has been employed to investigate the mechanisms that restrain NK cell anti-tumor function, and the results have offered forthcoming solutions to improve the efficiency of NK cell-based therapies. The present review will introduce the origin and features of NK cells, summarize the mechanisms of action and causes of dysfunction of NK cells in cancer, and frame NK cells in the tumoral microenvironment and in the context of immunotherapies. Finally, we will discuss therapeutic potential and current limitations of NK cell adoptive transfer in tumors.

Indexed as

NeoplasmsAdoptive TransferHumansImmunotherapyImmunotherapy, AdoptiveKiller Cells, NaturalTumor MicroenvironmentimmunotherapyNK cellstumor microenvironment

Identifiers

PMID37298470
PMCPMC10253405
OpenAlexW4378902249

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.