Evidence map›Paper›PMID 26191235›Full record

ArticleInternational journal of clinical and experimental pathology2015

Clinical significance of up-regulated ID1 expression in Chinese de novo acute myeloid leukemia.

Jing-Dong Zhou, Lei Yang, Xiao-Wen Zhu, Xiang-Mei Wen, Jing Yang, Hong Guo, Qin Chen, Dong-Ming Yao, Ji-Chun Ma, Jiang Lin and 1 more

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2015. 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
1.1field-weighted citation impact, top 23% 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, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Inhibitor of Differentiation 1 (Id1) in Cancer and Cancer Therapy.International journal of medical sciences · 2020
    Review
  8. Article
  9. Open life sciences · 2018
    Article
  10. High bone marrowOncotarget · 2017
    Article
  11. Article
  12. Epigenetic dysregulation ofJournal of Cancer · 2017
    Article
  13. 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

11 authors at 1 institution in 1 country.

Jing-Dong ZhouDepartment of Hematology, Affiliated People's Hospital of Jiangsu University Zhenjiang, Jiangsu, People's Republic of China.
Lei YangDepartment of Hematology, Affiliated People's Hospital of Jiangsu University Zhenjiang, Jiangsu, People's Republic of China.
Xiao-Wen ZhuDepartment of Hematology, Affiliated People's Hospital of Jiangsu University Zhenjiang, Jiangsu, People's Republic of China.
Xiang-Mei WenLaboratory Center, Affiliated People's Hospital of Jiangsu University Zhenjiang, Jiangsu, People's Republic of China.
Jing YangDepartment of Hematology, Affiliated People's Hospital of Jiangsu University Zhenjiang, Jiangsu, People's Republic of China.
Hong GuoLaboratory Center, Affiliated People's Hospital of Jiangsu University Zhenjiang, Jiangsu, People's Republic of China.
Qin ChenLaboratory Center, Affiliated People's Hospital of Jiangsu University Zhenjiang, Jiangsu, People's Republic of China.
Dong-Ming YaoLaboratory Center, Affiliated People's Hospital of Jiangsu University Zhenjiang, Jiangsu, People's Republic of China.
Ji-Chun MaLaboratory Center, Affiliated People's Hospital of Jiangsu University Zhenjiang, Jiangsu, People's Republic of China.
Jiang LinLaboratory Center, Affiliated People's Hospital of Jiangsu University Zhenjiang, Jiangsu, People's Republic of China.
Jun QianDepartment of Hematology, Affiliated People's Hospital of Jiangsu University Zhenjiang, Jiangsu, People's Republic of China.
Jiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the clinical significance of ID1 expression in Chinese de novo AML patients. Real-time quantitative PCR was carried out to detect the status of ID1 expression in 102 de novo AML patients and 28 controls. ID1 transcript level was significantly increased in AML compared to normal controls (p=0.029). The age in the patients with high ID1 expression is significantly older than in those with low ID1 expression (p=0.044). ID1 overexpression occurred with the highest frequency in the patients with poor karyotype (7/7, 100%), lower frequency in the patients with intermediate karyotype (28/60, 47%), and the lowest frequency in the patients with favorable karyotype (12/31, 39%). Both whole AML and non-M3 patients with high ID1 expression had significantly lower rate of complete remission than those with low ID1 expression (p=0.007 and 0.038). ID1 high-expressed patients showed significantly shorter overall survival (OS) than ID1 low-expressed patients in both whole AML and non-M3 according to Kaplan-Meier analysis (p=0.007 and 0.040). However, multivariate analysis indicated that ID1 overexpression was not an independent risk factor in both whole AML and non-M3 patients. However, the adverse impact of ID1 overexpression on outcome was revealed by both Kaplan-Meier analysis and multivariate analysis in the non-M3 patients less than 60 years old. Our study reveals that ID1 overexpression may be associated with higher risk karyotype classification and act as an independent risk factor in young non-M3 patients.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsAsian PeopleBiomarkers, TumorCase-Control StudiesChildChinaChi-Square DistributionDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansInhibitor of Differentiation Protein 1Biomarkers, TumorID1 protein, humanInhibitor of Differentiation Protein 1acute myeloid leukemiaexpressionID1prognosis

Identifiers

PMID26191235
PMCPMC4503106
OpenAlexW1006822284

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.