Evidence map›Paper›PMID 32762681›Full record

ReviewMolecular cancer2020

Natural killer cells in cancer biology and therapy.

Song-Yang Wu, Tong Fu, Yi-Zhou Jiang, Zhi-Ming Shao

Abstract readReview
In one paragraph

Review in Molecular cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 532 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
532citing papers in PubMed, 1 pooled it
–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

532 citing papers in PubMed, 1 synthesis or guideline pooled it.

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472 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

4 authors.

Song-Yang WuDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Tong FuDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Yi-Zhou JiangDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. yizhoujiang@fudan.edu.cn.
Zhi-Ming ShaoDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. zhimingshao@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment is highly complex, and immune escape is currently considered an important hallmark of cancer, largely contributing to tumor progression and metastasis. Named for their capability of killing target cells autonomously, natural killer (NK) cells serve as the main effector cells toward cancer in innate immunity and are highly heterogeneous in the microenvironment. Most current treatment options harnessing the tumor microenvironment focus on T cell-immunity, either by promoting activating signals or suppressing inhibitory ones. The limited success achieved by T cell immunotherapy highlights the importance of developing new-generation immunotherapeutics, for example utilizing previously ignored NK cells. Although tumors also evolve to resist NK cell-induced cytotoxicity, cytokine supplement, blockade of suppressive molecules and genetic engineering of NK cells may overcome such resistance with great promise in both solid and hematological malignancies. In this review, we summarized the fundamental characteristics and recent advances of NK cells within tumor immunometabolic microenvironment, and discussed potential application and limitations of emerging NK cell-based therapeutic strategies in the era of presicion medicine.

Indexed as

AnimalsBiomarkersDisease ManagementDisease ProgressionDisease SusceptibilityEnergy MetabolismHumansImmunity, InnateImmunomodulationImmunotherapyKiller Cells, NaturalNeoplasmsSignal TransductionTumor MicroenvironmentBiomarkersImmunometabolismImmunotherapyInnate immunityNatural killer cellPrecision treatmentTumor progression

Identifiers

PMID32762681
PMCPMC7409673

What OpenQuestion holds

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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.