Evidence map›Paper›PMID 38077326›Full record

ArticleFrontiers in immunology2023

FANCI serve as a prognostic biomarker correlated with immune infiltrates in skin cutaneous melanoma.

Zhenguo Cai, Yanjuan Duan, Wen Li, Zhuohang Liu, Zijun Gong, Sheng Hong, Xu He, Xinyang Xuanyuan, Youdong Chen, Xinling Bi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

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  5. NovelInternational journal of molecular sciences · 2024
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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

11 authors at 7 institutions in 1 country.

Zhenguo Cai *Department of Dermatology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yanjuan Duan *Department of Dermatology, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Wen Li *Department of Dermatology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Zhuohang LiuDepartment of Neurology, Minhang Hospital, Fudan University/Central Hospital of Minhang District, Shanghai, China.
Zijun GongDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Sheng HongDepartment of Dermatology, Changhai Hospital, Naval Medical University, Shanghai, China.
Xu HeDepartment of Dermatology, Changhai Hospital, Naval Medical University, Shanghai, China.
Xinyang XuanyuanDepartment of Dermatology, Changhai Hospital, Naval Medical University, Shanghai, China.
Youdong ChenDepartment of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.
Xinling BiDepartment of Dermatology, Changhai Hospital, Naval Medical University, Shanghai, China.
Wuqing WangDepartment of Dermatology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Changhai Hospital · CNShanghai University of Traditional Chinese Medicine · CNFudan University · CNMinhang District Central Hospital · CNSecond Military Medical University · CNShuguang Hospital · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As a member of tumor, Skin cutaneous melanoma (SKCM) poses a serious threat to people's health because of its strong malignancy. Unfortunately, effective treatment methods for SKCM remain lacking. FANCI plays a vital role in the occurrence and metastasis of various tumor types. However, its regulatory role in SKCM is unclear. The purpose of this study was to explore the association of FANCI with SKCM. Methods: This study investigated the expression of FANCI in GSE46517, GSE15605, and GSE114445 from the Gene Expression Omnibus database and The Cancer Genome Atlas (TCGA)-SKCM datasets using the package "limma" or "DESeq2" in R environment and also investigated the prognostic significance of FANCI by utilizing the GEPIA database. Additionally, our research made use of real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemical (IHC) staining to verify FANCI expression between SKCM and normal tissues and developed the knockdown of FANCI in A375 and A875 cells to further analyze the function of FANCI. Finally, this study analyzed the correlation of FANCI and tumor-infiltrating immune cells by CIBERSORT, ESTIMATE, and ssGSEA algorithms. Results: The FANCI level was increasing in SKCM tissues from GSE46517, GSE15605, GSE114445, and TCGA-SKCM. However, high FANCI expression correlated with poor overall survival. The RT-qPCR and IHC confirmed the accuracy of bioinformatics. Knocking down FANCI suppresses A375 and A875 cell proliferation, migration, and invasion. FANCI could be involved in the immunological milieu of SKCM by regulating immune responses and infiltrating numerous immune cells, particularly neutrophils, CD8+ T cells, and B cells. Furthermore, patients with SKCM who have a high FANCI expression level are reported to exhibit immunosuppression, whereas those with a low FANCI expression level are more likely to experience positive outcomes from immunotherapy. Conclusions: The increased FANCI expression in SKCM can be a prognostic biomarker. Knockdown FANCI can reduce the occurrence and progression of SKCM. The FANCI expression provides a foundation for predicting the immune status and treatment of SKCM.

Indexed as

MelanomaSkin NeoplasmsBiomarkersFanconi AnemiaFanconi Anemia Complementation Group ProteinsHumansPrognosisBiomarkersFANCI protein, humanFanconi Anemia Complementation Group ProteinsFANCIimmune infiltratesimmunotherapyprognostic biomarkerskin cutaneous melanoma

Identifiers

PMID38077326
PMCPMC10703153
OpenAlexW4388946520

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.