Evidence map›Paper›PMID 31638252›Full record

ArticleOncology reports2019

Gene mutation profile and risk stratification in AML1‑ETO‑positive acute myeloid leukemia based on next‑generation sequencing.

Guopan Yu, Changxin Yin, Fuqun Wu, Ling Jiang, Zhongxin Zheng, Dan Xu, Jiaheng Zhou, Xuejie Jiang, Qifa Liu, Fanyi Meng

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

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  7. Prognostic impact ofTherapeutic advances in hematology · 2024
    Article
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  9. The Prognostic Value of TP53 Mutations in Adult Acute Myeloid Leukemia: A Meta-Analysis.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023
    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 3 institutions in 1 country.

Guopan YuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Changxin YinDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Fuqun WuHematopathy Diagnosis and Therapy Center, Kanghua Hospital, Dongguan, Guangdong 523000, P.R. China.
Ling JiangDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Zhongxin ZhengDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Dan XuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Jiaheng ZhouDepartment of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Xuejie JiangDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Qifa LiuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Fanyi MengDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Nanfang Hospital · CNSouthern Medical University · CNGuhua Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene mutations play an important role in the development and progression of AML1‑ETO‑positive acute myeloid leukemia (AE‑AML). Nevertheless, the gene mutation profile in this subtype of leukemia remains unclear. In addition, the clinical and prognostic effects of different mutant genes may be underestimated. In the present study, gene sequencing was conducted at diagnosis and relapse with next‑generation sequencing (NGS) in 64 patients with newly diagnosed AE‑AML, and 44/64 (68.8%) patients were found to present with a median of 2 (1‑10) recurrent mutations at diagnosis and 6/11 (54.5%) cases were found to present with genetic alterations at relapse. c‑KIT mutation was the most common in this cohort, with an incidence of 27/64 (42.2%) at diagnosis, followed by ASXL1 (n=10, 15.6%), MET (n=8, 12.5%), MLH1 (n=6, 9.4%), TET2 (n=5, 7.8%), and FBXW7, TP53 and DNMT3A (n=5, 7.8%). Survival analysis showed that c‑KIT (exon 8, 17) but not exon 10 adversely affected survival. In addition, ASXL1 and TP53 were poor impact factors for recurrence‑free survival (RFS) (P<0.05), and ASXL1, MET, FBXW7 and TP53 had a negative impact on overall survival (OS) (P<0.05). Multivariate analysis showed that c‑KIT (exon 8, 17) [RFS: hazard ratio (HR) 3.36, 95% confidence interval (CI) 1.54‑7.34, P=0.002; OS: HR 2.84, 95% CI 1.20‑6.71, P=0.018] and ASXL1 mutations (RFS: HR 3.13, 95% CI 1.34‑7.32, P=0.009; OS: HR 3.94, 95% CI 1.62‑9.61, P=0.003) were independent adverse factors for survival. Further, co‑mutation of these two genes showed even worse effect on disease outcome. Collectively, additional gene mutations play critical role in AE‑AML. C‑KIT and ASXL1 mutations are the two most common mutations in this subtype of leukemia. C‑KIT (exon 8, 17) but not exon 10, and also the ASXL1 mutation poorly affect the disease outcome of this disease.

Indexed as

MutationAdolescentAdultAgedBiomarkers, TumorChildChild, PreschoolCore Binding Factor Alpha 2 SubunitFemaleHigh-Throughput Nucleotide SequencingHumansLeukemia, Myeloid, AcuteMaleMiddle AgedOncogene Proteins, FusionPrognosisAML1-ETO fusion protein, humanBiomarkers, TumorCore Binding Factor Alpha 2 SubunitOncogene Proteins, FusionRUNX1 Translocation Partner 1 Protein

Identifiers

PMID31638252
PMCPMC6826310
OpenAlexW2980582827

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.