Evidence map›Paper›PMID 35967426›Full record

ArticleFrontiers in immunology2022

Identification and characterization of four immune-related signatures in keloid.

Xiaoxiang Wang, Bo Liang, Jiehua Li, Xiaobing Pi, Peng Zhang, Xinzhu Zhou, Xiaodong Chen, Sitong Zhou, Ronghua Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

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  8. Scars.Nature reviews. Disease primers · 2023
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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

9 authors at 6 institutions in 1 country.

Xiaoxiang WangGuangdong Medical University, Zhanjiang, China.
Bo LiangThe Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jiehua LiDepartment of Dermatology, The First People's Hospital of Foshan, Foshan, China.
Xiaobing PiDepartment of Dermatology, The First People's Hospital of Foshan, Foshan, China.
Peng ZhangNeijiang Health Vocational College, Neijiang, China.
Xinzhu ZhouThe Second School of Medicine, Wenzhou Medical University, Wenzhou, China.
Xiaodong ChenDepartment of Burn Surgery, The First People's Hospital of Foshan, Foshan, China.
Sitong ZhouDepartment of Dermatology, The First People's Hospital of Foshan, Foshan, China.
Ronghua YangGuangdong Medical University, Zhanjiang, China.
First People's Hospital of Foshan · CNGuangdong Medical College · CNGuangzhou Medical University · CNNeijiang Normal University · CNSecond Affiliated Hospital of Zhejiang University · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A keloid is a fibroproliferative disorder of unknown etiopathogenesis that requires ill-defined treatment. Existing evidence indicates that the immune system plays an important role in the occurrence and development of keloid. However, there is still a lack of research on the immune-related signatures of keloid. Here we identified immune-related signatures in keloid and explored their pathological mechanisms. Transcriptomic datasets (GSE7890, GSE92566, and GSE44270) of keloid and normal skin tissues were obtained from the Gene Expression Omnibus database. The overlap of differentially expressed genes and immune-related genes was considered as differentially expressed immune-related genes (DEIGs). Functional analysis, expression, and distribution were applied to explore the function and characteristics of DEIGs, and the expression of these DEIGs in keloid and normal skin tissues was verified by immunohistochemistry. Finally, we conducted interactive network analysis and immune infiltration analysis to determine the therapeutic potential and immune correlation. We identified four DEIGs (LGR5, PTN, JAG1, and DKK1). In these datasets, only GSE7890 met the screening criteria. In the GSE7890 dataset, DKK1 and PTN were downregulated in keloid, whereas JAG1 and LGR5 were upregulated in keloid. In addition, we obtained the same conclusion through immunohistochemistry. Functional analysis indicated that these four DEIGs were mainly involved in stem cell, cell cycle, UV response, and therapy resistance. Through interactive network analysis, we found that these DEIGs were associated with drugs currently used to treat keloid, such as hydrocortisone, androstanolone, irinotecan, oxaliplatin, BHQ-880, and lecoleucovorin. Finally, many immune cells, including CD8

Indexed as

KeloidCD8-Positive T-LymphocytesHumansMacrophagesSignal TransductionTranscriptomeGEOimmuneimmune infiltrationkeloidsignature

Identifiers

PMID35967426
PMCPMC9365668
OpenAlexW4288067342

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LicenceCC BY
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Registered trials

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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.