Evidence map›Paper›PMID 36324489›Full record

ArticleTherapeutic advances in hematology2022

Serum proteomics screening intercellular adhesion molecule-2 improves intermediate-risk stratification in acute myeloid leukemia.

Nan Zhang, Xiaoyan Liu, Jinxian Wu, Xinqi Li, Qian Wang, Guopeng Chen, Linlu Ma, Sanyun Wu, Fuling Zhou

Abstract read
In one paragraph

Article in Therapeutic advances in hematology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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

9 authors.

Nan ZhangDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xiaoyan LiuDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jinxian WuDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xinqi LiDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Qian WangDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Guopeng ChenDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Linlu MaDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Sanyun WuDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Fuling ZhouDepartment of Hematology, Zhongnan Hospital of Wuhan University, No.169 Donghu Road, Wuhan 430072, China.ORCID https://orcid.org/0000-0003-0982-0382

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The clinical risk classification of acute myelocytic leukemia (AML) is largely based on cytogenetic and molecular genetic detection. However, the optimal treatment for intermediate-risk AML patients remains uncertain. Further refinement and improvement of prognostic stratification are therefore necessary. Objectives: The aim of this study was to identify serum protein biomarkers to refine risk stratification in AML patients. Design: This study is a retrospective study. Methods: Label-free proteomics was used to identify the differential abundance of serum proteins in AML patients. Transcriptomic data were combined to identify key altered markers that could indicate the risk rank of AML patients. The survival status was assessed by Kaplan-Meier and multivariate Cox regression analyses. Results: We delineated serum protein expression in a population of AML patients. Many biological processes were influenced by the identified differentially expressed proteins. Association analysis of transcriptome data showed that intercellular adhesion molecule-2 (ICAM2) had a higher survival prediction value in the intermediate-risk AML group. ICAM2 was detrimental for intermediate-risk AML, regardless of whether patients received bone marrow transplantation. ICAM2 well distinguishes the intermediate group of patients, whose probability of survival is comparable to that of patients with the ELN-2017 according to the reference classification. In addition, newly established stratified clinical features were associated with leukemia stem cell scores. Conclusion: The inclusion of ICAM2 expression into the AML risk classification according to ELN-2017 was a good way to transfer patients from three to two groups. Thus, providing more information for clinical decision-making to improve intermediate-risk stratification in AML patients.

Indexed as

acute myeloid leukemiaICAM2proteomicsrisk stratification

Identifiers

PMID36324489
PMCPMC9619266

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.