Evidence map›Paper›PMID 35248033›Full record

ArticleCancer cell international2022

AMICA1 is a diagnostic and prognostic biomarker and induces immune cells infiltration by activating cGAS-STING signaling in lung adenocarcinoma.

Ziyang Feng, Yan Zhang, Min He, Ying Han, Changjing Cai, Shanshan Liu, Ping Liu, Yihong Chen, Hong Shen, Shan Zeng

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

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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

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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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. PD-1 Inhibits CD4+ TRM-Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

10 authors at 2 institutions in 1 country.

Ziyang FengDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Yan ZhangDepartment of Oncology, Yueyang People's Hospital, Yueyang Hospital Affiliated to Hunan Normal University, Yueyang, 414000, Hunan, China. yanzhang2021@hunnu.edu.cn.ORCID http://orcid.org/0000-0002-0416-4649
Min HeDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Ying HanDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Changjing CaiDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Shanshan LiuDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Ping LiuDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Yihong ChenDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Hong ShenDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Shan ZengDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Central South University · CNHunan Normal University · CN

Funding

chinese society of clinical oncology Y-2019Genecast-043chinese society of clinical oncology Y-HR2019-0182National Natural Science Foundation of China 81172470National Natural Science Foundation of China 81372629National Natural Science Foundation of China 81772627National Natural Science Foundation of China 81874073National Natural Science Foundation of China 81974384National Natural Science Foundation of China 82173342natural science foundation of hunan province 2021JJ31048natural science foundation of hunan province 2021JJ31092
6 · The paper itself

Abstract

backgroundAdhesion molecule interacting with CXADR antigen 1 (AMICA1), also known as Junction Adhesion Molecule Like (JAML), a recently identified member of the JAMs family, plays a critical role in mediating cancer development and immune cells transmigration. However, AMICA1 has never been reported to be related to the genesis, development and immunotherapy effect of lung adenocarcinoma (LUAD). In this research, we investigated the role of AMICA1 in LUAD through bioinformatic analysis and in vitro experiments.

methodsBioinformatic analysis from TCGA and GEO databases were used to investigate the expression level of AMICA1 and the correlation between AMICA1 and clinical parameters in LUAD patients. The LinkedOmics database was analyzed to investigate the co-expression network of AMICA1. TIMER and TISIDB databases were used to analyze the correlation between AMICA1 expression and immune infiltration level. Except for bioinformatic analysis, the AMICA1 mRNA (26 patients) and protein level (6 patients) were also detected by real-time PCR and western blot. The infiltration level of CD8

resultsBioinformatic data from public database and our data showed that AMICA1 was significantly downregulated in LUAD. Decreased AMICA1 expression in LUAD was associated with higher T stage, M stage and pathological stage. Kaplan-Meier survival analysis indicated that patients with low AMICA1 expression had a worse prognosis. ROC curves showed that AMICA1 had high diagnostic accuracy for LUAD patients. Multivariate Cox analysis further displayed that AMICA1 expression level was an independent prognostic factor for LUAD patients. Moreover, the expression of AMICA1 was significantly different in the immune cells subtype and was obviously linked to immune cells infiltration. In vitro experiments suggested that AMICA1 significantly suppressed the proliferation of LUAD cells and played an important role in activating cGAS-STING signaling.

conclusionsOur study suggested that AMICA1 might function as a diagnostic and prognostic biomarker and significantly suppressed the proliferation of LUAD cells. Besides, AMICA1 is positively correlated with immune cells infiltration in LUAD, and cGAS-STING signaling might play an important role in the process.

Indexed as

AMICA1BioinformaticsBiomarkerscGAS-STINGImmune infiltrationLUAD

Identifiers

PMID35248033
PMCPMC8897931
OpenAlexW4221057104

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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.