Evidence map›Paper›PMID 25860287›Full record

ArticlePloS one2015

High expression of c-kit mRNA predicts unfavorable outcome in adult patients with t(8;21) acute myeloid leukemia.

Xiaoning Gao, Ji Lin, Li Gao, Ailing Deng, Xiaolin Lu, Yonghui Li, Lili Wang, Li Yu

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05042531 (Clinical Research for Azacitidine Combined With Low-dose Dasatinib in Maintenance Therapy of Acute Myeloid Leukemia), which is not on this map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.6field-weighted citation impact, top 7% 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.

NCT05042531 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Clinical Research for Azacitidine Combined With Low-dose Dasatinib in Maintenance Therapy of Acute Myeloid Leukemia

TypeinterventionalSponsorLanZhou UniversityRan2021 to 2023Enrolled30ConditionsAcute Myeloid LeukemiaArmsAzacitidine, Dasatinib
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Emerging Immunotherapy for Acute Myeloid Leukemia.International journal of molecular sciences · 2021
    Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. 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

8 authors at 2 institutions in 1 country.

Xiaoning GaoDepartment of Hematology, Chinese PLA General Hospital, Medical School of Chinese PLA, Beijing, China.
Ji LinInstitute of Basic Medicine, Chinese PLA General Hospital, Medical School of Chinese PLA, Beijing, China.
Li GaoDepartment of Hematology, China-Japan Friendship Hospital, Beijing, China.
Ailing DengDepartment of Hematology, Chinese PLA General Hospital, Medical School of Chinese PLA, Beijing, China.
Xiaolin LuDepartment of Hematology, Chinese PLA General Hospital, Medical School of Chinese PLA, Beijing, China.
Yonghui LiDepartment of Hematology, Chinese PLA General Hospital, Medical School of Chinese PLA, Beijing, China.
Lili WangDepartment of Hematology, Chinese PLA General Hospital, Medical School of Chinese PLA, Beijing, China.
Li YuDepartment of Hematology, Chinese PLA General Hospital, Medical School of Chinese PLA, Beijing, China.
Chinese PLA General Hospital · CNChina-Japan Friendship Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reason that a certain subgroup of acute myeloid leukemia (AML) patients with t(8;21) translocation (generating the AML1/ETO fusion gene) displays a poor survival remains elusive. The proto-oncogene c-kit is expressed in approximately 80% of AML cases. The kinase domain mutation of the c-kit gene, one of the most common gain-of-function mutations associated with t(8;21) AML, predicts higher relapse risk and poor prognosis. However, the role of c-kit high expression in t(8;21) AML remains poorly understood. Here we evaluated the prognostic significance of c-kit expression levels in AML patients. The mRNA expression of c-kit was determined by real-time quantitative reverse transcription PCR in 132 adult AML patients. Patients were grouped into quartiles according to c-kit expression levels (Q1-Q4, each quartile containing 25% of patients) and divided into c-kit high (Q4; n = 33) and c-kit low (Q1-Q3; n = 99). High c-kit expression was associated with AML1/ETO-positive and with c-kit mutation. Of note, 35.8% of the AML1/ETO-positive AML patients carrying wild-type c-kit expressed high levels of c-kit, suggesting that other factors are involved in c-kit overexpression. High c-kit expression was associated with inferior overall and event-free survival in AML1/ETO-positive patients and was independently predictive for overall and event-free survival in multivariate analyses in a c-kit mutation-independent manner. Thus, high c-kit expression serves as a reliable molecular marker for poor prognosis, supporting a pathogenetic role of c-kit signaling in AML1/ETO-positive AML. AML1/ETO-positive patients with high c-kit expression might benefit from early treatment modifications and molecular target therapies.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChromosomes, Human, Pair 21Chromosomes, Human, Pair 8Cohort StudiesCore Binding Factor Alpha 2 SubunitFemaleHumansKaplan-Meier EstimateLeukemia, Myeloid, AcuteMaleMiddle AgedMultivariate AnalysisAML1-ETO fusion protein, humanCore Binding Factor Alpha 2 SubunitMAS1 protein, humanOncogene Proteins, FusionProto-Oncogene MasProto-Oncogene Proteins c-kitRNA, MessengerRNA, NeoplasmRUNX1 Translocation Partner 1 Protein

Identifiers

PMID25860287
PMCPMC4393018
OpenAlexW2016093629

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.