Evidence map›Paper›PMID 33888868›Full record

ArticleOncogene2021

miR-29c&b2 encourage extramedullary infiltration resulting in the poor prognosis of acute myeloid leukemia.

Yanyu Wei, Wei Lu, Yehua Yu, Yuanmei Zhai, Hezhou Guo, Shaoxin Yang, Chong Zhao, Yanjie Zhang, Jiali Liu, Yuhui Liu and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Oncogene, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
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

12 authors at 3 institutions in 1 country.

Yanyu WeiDepartment of Hematology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0002-5127-0321
Wei LuDepartment of Hematology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yehua YuDepartment of Hematology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yuanmei ZhaiDepartment of Hematology, Tongren Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Hezhou GuoDepartment of Hematology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Shaoxin YangDepartment of Hematology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Chong ZhaoDepartment of Hematology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yanjie ZhangDepartment of Hematology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jiali LiuDepartment of Hematology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yuhui LiuSchool of Life Science and Technology, Tongji University, Shanghai, China.ORCID http://orcid.org/0000-0002-5952-8948
Jian FeiSchool of Life Science and Technology, Tongji University, Shanghai, China. jfei@tongji.edu.cn.ORCID http://orcid.org/0000-0001-7755-0818
Jun ShiDepartment of Hematology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China. junshi@sjtu.edu.cn.ORCID http://orcid.org/0000-0003-0780-5242
Shanghai Ninth People's Hospital · CNTongji University · CNTongren Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extramedullary infiltration (EMI), as a concomitant symptom of acute myeloid leukemia (AML), is associated with low complete remission and poor prognosis in AML. However, the mechanism of EMI remains indistinct. Clinical trials showed that increased miR-29s were associated with a poor overall survival in AML [14]. Nevertheless, they were proved to work as tumor suppressor genes by encouraging apoptosis and inhibiting proliferation in vitro. These contradictory results led us to the hypothesis that miR-29s may play a notable role in the prognosis of AML rather than leukemogenesis. Thus, we explored the specimens of AML patients and addressed this issue into miR-29c&b2 knockout mice. As a result, a poor overall survival and invasive blast cells were observed in high miR-29c&b2-expression patients, and the wildtype mice presented a shorter survival with heavier leukemia infiltration in extramedullary organs. Subsequently, we found that the miR-29c&b2 inside leukemia cells promoted EMI, but not the one in the microenvironment. The analysis of signal pathway revealed that miR-29c&b2 could target HMG-box transcription factor 1 (Hbp1) directly, then reduced Hbp1 bound to the promoter of non-muscle myosin IIB (Myh10) as a transcript inhibitor. Thus, increased Myh10 encouraged the migration of leukemia cells. Accordingly, AML patients with EMI were confirmed to have high miR-29c&b2 and MYH10 with low HBP1. Therefore, we identify that miR-29c&b2 contribute to the poor prognosis of AML patients by promoting EMI, and related genes analyses are prospectively feasible in assessment of AML outcome.

Indexed as

AdultAgedAnimalsCell Line, TumorComputational BiologyDatabases, GeneticDisease Models, AnimalFemaleHigh Mobility Group ProteinsHumansLeukemia, Myeloid, AcuteLeukemic InfiltrationMaleMiceMice, KnockoutMicroRNAsHBP1 protein, humanHigh Mobility Group ProteinsMicroRNAsMIRN29B1 microRNA, humanMIRN29C microRNA, humanMyosin Heavy ChainsNonmuscle Myosin Type IIBnonmuscle myosin type IIB heavy chainRepressor Proteins

Identifiers

PMID33888868
OpenAlexW3154127089

What OpenQuestion holds

Textmetadata
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.