Evidence map›Paper›PMID 35924148›Full record

ReviewFrontiers in oncology2022

IL-6: The Link Between Inflammation, Immunity and Breast Cancer.

Juan Chen, Yanghui Wei, Weiqin Yang, Qingnan Huang, Yong Chen, Kai Zeng, Jiawei Chen

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 3 pooled it
11.2field-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

85 citing papers in PubMed, 3 syntheses or guidelines pooled it, 113 citations in OpenAlex.

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25 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

7 authors at 1 institution in 2 countries.

Juan ChenDepartment of Medicine and Rehabilitation, Tung Wah Eastern Hospital, Hong Kong, Hong Kong SAR, China.
Yanghui WeiDepartment of Surgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
Weiqin YangSchool of Biomedical Sciences, The Chinese, University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Qingnan HuangDepartment of Surgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
Yong ChenDepartment of Surgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
Kai ZengDepartment of Surgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
Jiawei ChenDepartment of Surgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the leading causes of mortality in females. Over the past decades, intensive efforts have been made to uncover the pathogenesis of breast cancer. Interleukin-6 (IL-6) is a pleiotropic factor which has a vital role in host defense immunity and acute stress. Moreover, a wide range of studies have identified the physiological and pathological roles of IL-6 in inflammation, immune and cancer. Recently, several IL-6 signaling pathway-targeted monoclonal antibodies have been developed for cancer and immune therapy. Combination of IL-6 inhibitory antibody with other pathways blockage drugs have demonstrated promising outcome in both preclinical and clinical trials. This review focuses on emerging studies on the strong linkages of IL-6/IL-6R mediated regulation of inflammation and immunity in cancer, especially in breast cancer.

Indexed as

breast cancerimmuneinflammationinterleukin-6target therapy

Identifiers

PMID35924148
PMCPMC9341216
OpenAlexW4285803494

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.