Evidence map›Paper›PMID 35800769›Full record

ArticleiScience2022

Genetic association and single-cell transcriptome analyses reveal distinct features connecting autoimmunity with cancers.

Shasha Li, Chenyang Lu, Yuan Zhang, Xiaolu Zhao, Kequan Lin, Xiufang Kong, David Fox, Lixiang Xue, Lichao Sun, Yi Liu and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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

11 authors at 7 institutions in 2 countries.

Shasha LiDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
Chenyang LuDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu 610041, China.
Yuan ZhangPharmacy Department, Zichuan District Hospital, Zichuan, Shandong 255100, China.
Xiaolu ZhaoCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China.
Kequan LinSchool of Life Sciences, Tsinghua University, Beijing 100084, China.
Xiufang KongDepartment of Rheumatology and Immunology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
David FoxDivision of Rheumatology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Lixiang XueInstitute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China.
Lichao SunState Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Yi LiuDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu 610041, China.
Fengbiao MaoInstitute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China.
Peking University · CNSichuan University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNFudan University · CNSun Yat-sen University · CNTsinghua University · CNUniversity of Michigan · US

Funding

University of Michigan Clinical Autoimmunity Center of ExcellenceUM1AI144298 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FOX, DAVID ALAN, KHANNA, DINESH · 2019 to 2023
$546k
NIAID NIH HHS UM1 AI144298
6 · The paper itself

Abstract

Autoimmune diseases (ADs) are at a significantly higher risk of cancers with unclear mechanism. By searching GWAS catalog database and Medline, susceptible genes for five common ADs, including systemic lupus erythematosus (SLE), rheumatoid arthritis, Sjögren syndrome, systemic sclerosis, and idiopathic inflammatory myopathies, were collected and then were overlapped with cancer driver genes. Single-cell transcriptome analysis was performed in the comparation between SLE and related cancer. We identified 45 carcinogenic autoimmune disease risk (CAD) genes, which were mainly enriched in T cell signaling pathway and B cell signaling pathway. Integrated single-cell analysis revealed immune cell signaling was significantly downregulated in renal cancer compared with SLE, while stemness signature was significantly enriched in both renal cancer or lymphoma and SLE in specific subpopulations. Drugs targeting CAD genes were shared between ADs and cancer. Our study highlights the common and specific features between ADs and related cancers, and sheds light on a new discovery of treatments.

Indexed as

BioinformaticsCancer systems biologyComplex system biologySystems biology

Identifiers

PMID35800769
PMCPMC9254016
OpenAlexW4283068560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.