Evidence map›Paper›PMID 35292881›Full record

ReviewCellular and molecular life sciences : CMLS2022

Type I interferon-mediated tumor immunity and its role in immunotherapy.

Renren Yu, Bo Zhu, Degao Chen

Open access · hybridAbstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 207 papers.

0numbers the graph read from it
0cells of the map it votes in
207citing papers in PubMed
23.1field-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

207 citing papers in PubMed, 291 citations in OpenAlex.

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147 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

3 authors at 1 institution in 1 country.

Renren YuInstitute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, 400037, China.
Bo ZhuInstitute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, 400037, China. bo.zhu@tmmu.edu.cn.
Degao ChenInstitute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, 400037, China. degaochen@tmmu.edu.cn.ORCID http://orcid.org/0000-0003-2744-427X
Army Medical University · CN

Funding

National Natural Science Foundation of China 81925030National Natural Science Foundation of China 82003018
6 · The paper itself

Abstract

Immune checkpoint blockade (ICB) therapies have achieved remarkable clinical responses in patients with many different types of cancer; however, most patients who receive ICB monotherapy fail to achieve long-term responses, and some tumors become immunotherapy-resistant and even hyperprogressive. Type I interferons (IFNs) have been demonstrated to inhibit tumor growth directly and indirectly by acting upon tumor and immune cells, respectively. Furthermore, accumulating evidence indicates that endo- and exogenously enhancing type I IFNs have a synergistic effect on anti-tumor immunity. Therefore, clinical trials studying new treatment strategies that combine type I IFN inducers with ICB are currently in progress. Here, we review the cellular sources of type I IFNs and their roles in the immune regulation of the tumor microenvironment. In addition, we highlight immunotherapies based on type I IFNs and combination therapy between type I IFN inducers and ICBs.

Indexed as

AnimalsCancer-Associated FibroblastsCombined Modality TherapyDendritic CellsEndothelial CellsHumansImmune Checkpoint InhibitorsImmunotherapyInterferon Type IKiller Cells, NaturalLymphocytes, Tumor-InfiltratingMacrophagesMiceModels, ImmunologicalMyeloid-Derived Suppressor CellsNeoplasmsImmune Checkpoint InhibitorsInterferon Type IToll-Like ReceptorscGASIFN-αIFN-βOncolytic virotherapyRadiation therapySTINGTumor immunity

Identifiers

PMID35292881
PMCPMC8924142
OpenAlexW4220735045

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.