Evidence map›Paper›PMID 36472749›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2023

Comprehensive analysis of ERCC3 prognosis value and ceRNA network in AML.

Xiebing Bao, Yao Chen, Xiao Lou, Jiahui Du, Huijun Li, Nian Liu, Zaixiang Tang, Jingsheng Hua, Weiqiang Guo, Song-Bai Liu

Abstract read
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In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2023. 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
0.3field-weighted citation impact, top 43% 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, 4 citations in OpenAlex.

  1. Article
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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 5 institutions in 1 country.

Xiebing Bao *National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yao Chen *Suzhou Key Laboratory of Medical Biotechnology, Suzhou Vocational Health College, 28 Kehua Road, Suzhou, 215009, China.
Xiao Lou *Department of Hematology, The Fifth Medical Center of PLA General Hospital, Beijing, 100071, China.
Jiahui DuSuzhou Key Laboratory of Medical Biotechnology, Suzhou Vocational Health College, 28 Kehua Road, Suzhou, 215009, China.
Huijun LiDepartment of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, 215123, China.
Nian LiuSchool of Chemistry and Life Science, Biology and Materials Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China.
Zaixiang TangDepartment of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, 215123, China.
Jingsheng HuaDepartment of Hematology, Taizhou Municipal Hospital Affiliated to Taizhou University, Taizhou, 318000, China. huajingsheng@sohu.com.
Weiqiang GuoSchool of Chemistry and Life Science, Biology and Materials Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China. wq_guo0824@sina.com.
Song-Bai LiuSuzhou Key Laboratory of Medical Biotechnology, Suzhou Vocational Health College, 28 Kehua Road, Suzhou, 215009, China. liusongbai@126.com.ORCID http://orcid.org/0000-0002-3920-1032
Soochow University · CNSuzhou University of Science and Technology · CNSuzhou Vocational Health College · CNChinese PLA General Hospital · CNTaizhou Municipal Hospital · CN

Funding

Medical Science and Technology Project of Zhejiang Province 2021KY400Qinglan Project of Jiangsu Province of China 2022
6 · The paper itself

Abstract

backgroundAcute myeloid leukemia (AML) is a hematological malignancy with high molecular and clinical heterogeneity, and is the most common type of acute leukemia in adults. Due to limited treatment options, AML is prone to relapse and has a poor prognosis. Excision repair cross-complementing 3 (ERCC3) is an important member of nucleotide excision repair (NER) that is overexpressed in types of solid cancers and potentially regarded as a prognostic factor. However, its role in AML remains unclear. The purpose of this study was to explore ERCC3 expression and functions in AML.

methodsThe Cancer Genome Atlas (TCGA) and GEO (Gene Expression Omnibus) were used to test the accuracy of ERCC3 expression levels for AML diagnosis. Using online databases and R packages, we also explored the signaling pathway, epigenetic regulation, infiltration of immune cells, clinical prognostic value, and ceRNA network in AML.

resultsOur results revealed that ERCC3 expression was increased in AML and that high ERCC3 expression had good value for disease-free survival and overall survival in AML patients who underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT). We found that ERCC3 and co-expressed genes were mainly involved in chemical carcinogenesis/reactive oxygen species, ubiquitin-mediated protein degradation and oxidative phosphorylation. In addition, almost all the m

conclusionThis study demonstrated that ERCC3 was overexpressed in AML and that high ERCC3 expression can be considered a biomarker conducive to allo-HSCT in AML patients.

Indexed as

Epigenesis, GeneticLeukemia, Myeloid, AcuteAdultChronic DiseaseDNA RepairHumansPrognosisAMLceRNA networkERCC3m6A RNA methylationPrognostic biomarker

Identifiers

PMID36472749
OpenAlexW4310781326

What OpenQuestion holds

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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.