Evidence map›Paper›PMID 34112247›Full record

ArticleBiomarker research2021

LncRNAs serve as novel biomarkers for diagnosis and prognosis of childhood ALL.

Xuanmei Huang, Libin Huang, Qing Xie, Ling Zhang, Shaohui Huang, Mingye Hong, Jiangbin Li, Zunnan Huang, Hua Zhang

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

Article in Biomarker research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 26% 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.

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 16 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Xuanmei Huang *Institute of Laboratory Medicine, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Key Laboratory of Big Data Mining and Precision Drug Design, School of Medical Technology, Guangdong Medical University, Guangdong Medical University, 523808, Dongguan, China.
Libin Huang *Department of Pediatrics, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhong shan Er Lu, 510080, Guangzhou, China.
Qing Xie *Institute of Laboratory Medicine, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Key Laboratory of Big Data Mining and Precision Drug Design, School of Medical Technology, Guangdong Medical University, Guangdong Medical University, 523808, Dongguan, China.
Ling ZhangHealth Science Center, The University of Texas, 77030, Houston, USA.
Shaohui HuangInstitute of Laboratory Medicine, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Key Laboratory of Big Data Mining and Precision Drug Design, School of Medical Technology, Guangdong Medical University, Guangdong Medical University, 523808, Dongguan, China.
Mingye HongInstitute of Laboratory Medicine, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Key Laboratory of Big Data Mining and Precision Drug Design, School of Medical Technology, Guangdong Medical University, Guangdong Medical University, 523808, Dongguan, China.
Jiangbin LiInstitute of Laboratory Medicine, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Key Laboratory of Big Data Mining and Precision Drug Design, School of Medical Technology, Guangdong Medical University, Guangdong Medical University, 523808, Dongguan, China.
Zunnan HuangInstitute of Laboratory Medicine, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Key Laboratory of Big Data Mining and Precision Drug Design, School of Medical Technology, Guangdong Medical University, Guangdong Medical University, 523808, Dongguan, China.
Hua ZhangInstitute of Laboratory Medicine, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Key Laboratory of Big Data Mining and Precision Drug Design, School of Medical Technology, Guangdong Medical University, Guangdong Medical University, 523808, Dongguan, China. huazhang@gdmu.edu.cn.
Key Laboratory of Guangdong Province · CNGuangdong Medical College · CNSun Yat-sen University · CN

Funding

Key-Area Research and Development Program of Guangdong Province 2020B1111030005Key Program of Marine Economy Development (Six Marine Industries) Special Foundation of Department of Natural Resources of Guangdong Province GDNRC [2020]070National Natural Science Foundation of China 81300398 and 81600112Natural Science Foundation of Guangdong Province 2015A030313528 and 2017A030313456Science and Technology Planning Project of Guangzhou 201707010004
6 · The paper itself

Abstract

backgroundAlthough some studies have demonstrated that lncRNAs are dysregulated in hematopoietic malignancies and may regulate the progression of leukemia, the detailed mechanism underlying tumorigenesis is still unclear. This study aimed to investigate lncRNAs that are differentially expressed in childhood B-cell acute lymphoblastic leukemia (B-ALL) and T-cell acute lymphoblastic leukemia (T-ALL) and their potential roles in the progression of childhood ALL.

methodsMicroarrays were used to detect differentially expressed lncRNAs and mRNAs. Several aberrantly expressed lncRNAs were validated by qRT-PCR. Leukemia-free survival was analyzed using the Kaplan-Meier method with a log-rank test. The co-expression correlations of lncRNAs and mRNAs were determined by Spearman's correlation coefficient. CCK-8 assays and flow cytometry were performed to measure cell proliferation and apoptosis.

resultsWe revealed that many lncRNAs were abnormally expressed in B-ALL and T-ALL. LncRNA/mRNA co-expression and the gene locus network showed that dysregulated lncRNAs are involved in diverse cellular processes. We also assessed the diagnostic value of the differentially expressed lncRNAs and confirmed the optimal combination of TCONS_00026679, uc002ubt.1, ENST00000411904, and ENST00000547644 with an area under the curve of 0.9686 [95 % CI: 0.9369-1.000, P < 0.001], with 90.7 % sensitivity and 92.19 % specificity, at a cut-off point of -0.5700 to distinguish childhood B-ALL patients from T-ALL patients, implying that these specific lncRNAs may have potential to detect subsets of childhood ALL. Notably, we found that the 8-year leukemia-free survival of patients with high TCONS_00026679 (p = 0.0081), ENST00000522339 (p = 0.0484), ENST00000499583 (p = 0.0381), ENST00000457217 (p = 0.0464), and ENST00000451368 (p = 0.0298) expression levels was significantly higher than that of patients with low expression levels of these lncRNAs, while patients with high uc002ubt.1 (p = 0.0499) and ENST00000547644 (p = 0.0451) expression levels exhibited markedly shorter 8-year leukemia-free survival. In addition, some lncRNAs were found to play different roles in cell proliferation and apoptosis in T-ALL and B-ALL.

conclusionsDysregulated lncRNAs involved in different regulatory mechanisms underlying the progression of childhood T-ALL and B-ALL might serve as novel biomarkers to distinguish ALL subsets and indicate poor outcomes.

Indexed as

ApoptosisChildhood acute lymphoblastic leukemiaLeukemia-free survivalLncRNAsProliferation

Identifiers

PMID34112247
PMCPMC8193891
OpenAlexW3168149826

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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.