Evidence map›Paper›PMID 36211371›Full record

ArticleFrontiers in immunology2022

The integration of single-cell sequencing, TCGA, and GEO data analysis revealed that PRRT3-AS1 is a biomarker and therapeutic target of SKCM.

Wancong Zhang, Xuqi Xie, Zijian Huang, Xiaoping Zhong, Yang Liu, Kit-Leong Cheong, Jianda Zhou, Shijie Tang

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 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Single-cell sequencing: accurate disease detection.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  11. From Genes to Healing: The Protective Mechanisms ofCurrent issues in molecular biology · 2025
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  16. Computational and structural biotechnology journal · 2024
    Review
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  18. Neutrophil extracellular trap related risk score exhibits crucial prognostic value in skin cutaneous melanoma, associating with distinct immune characteristics.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 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

8 authors at 3 institutions in 1 country.

Wancong ZhangDepartment of Plastic Surgery and Burn Center, Second Affiliated Hospital, Shantou University Medical College, Shantou, China.
Xuqi XieDepartment of Plastic Surgery and Burn Center, Second Affiliated Hospital, Shantou University Medical College, Shantou, China.
Zijian HuangDepartment of Plastic Surgery and Burn Center, Second Affiliated Hospital, Shantou University Medical College, Shantou, China.
Xiaoping ZhongDepartment of Plastic Surgery and Burn Center, Second Affiliated Hospital, Shantou University Medical College, Shantou, China.
Yang LiuGuangdong Provincial Key Laboratory of Marine Biotechnology, Department of Biology, College of Science, Shantou University, Shantou, China.
Kit-Leong CheongGuangdong Provincial Key Laboratory of Marine Biotechnology, Department of Biology, College of Science, Shantou University, Shantou, China.
Jianda ZhouDepartment of Plastic and Reconstructive Surgery, Central South University Third Xiangya Hospital, Changsha, China.
Shijie TangDepartment of Plastic Surgery and Burn Center, Second Affiliated Hospital, Shantou University Medical College, Shantou, China.
Shantou University · CNShantou University Medical College · CNThird Xiangya Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Skin cutaneous melanoma (SKCM) is the world's fourth deadliest cancer, and advanced SKCM leads to a poor prognosis. Novel biomarkers for SKCM diagnosis and prognosis are urgently needed. Long non-coding RNAs (lncRNAs) provide various biological functions and have been proved to play a significant role in tumor progression. Single-cell RNA sequencing (scRNA-seq) enables genome analysis at the single-cell level. This study explored prognostic lncRNAs in SKCM based on scRNA-seq and bulk RNA sequencing data. Materials and methods: The TCGA cohort and melanoma samples in the GEO database (GSE72056, GSE19234, GSE15605, GSE7553, and GSE81383) were included in this study. Marker genes were filtered, and ensemble lncRNAs were annotated. The clinical significance of selected lncRNAs was verified through TCGA and GEO dataset analysis. SiRNA transfection, wound-healing and transwell assays were performed to evaluate the effect of PRRT3-AS1 on cellular function. Immune infiltration of the selected lncRNAs was also exhibited. Results: A 5-marker-lncRNAs model of significant prognostic value was constructed based on GSE72056 and the TCGA cohort. PRRT3-AS1 combined with DANCR was then found to provide significant prognostic value in SKCM. PRRT3-AS1 was filtered for its higher expression in more advanced melanoma and significant prognosis value. Cellular function experiments Conclusion: PRRT3-AS1 may be a diagnostic and prognostic biomarker of SKCM.

Indexed as

MelanomaRNA, Long NoncodingSkin NeoplasmsBiomarkersCutaneous Malignant MelanomaData AnalysisGene Expression Regulation, NeoplasticHumansRNA, Small InterferingBiomarkersRNA, Long NoncodingRNA, Small InterferingbiomarkerGEOlncRNAsPRRT3-AS1scRNA-seqSKCMTCGA

Identifiers

PMID36211371
PMCPMC9539251
OpenAlexW4297010098

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.