Evidence map›Paper›PMID 42328411›Full record

ArticleBlood science (Baltimore, Md.)2026

Transcriptomics-based multi-omics approach for optimizing risk stratification in acute myeloid leukemia.

Yang Yang, Lun Yan, Jianjun Fang, Hong Liu, Xu Tan, Yingying Ma, Xiao Han, Guo Chen, Ying Chen, Desheng Gong and 5 more

Abstract read
In one paragraph

Article in Blood science (Baltimore, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Yang YangMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing, 400037 China.
Lun YanMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing, 400037 China.
Jianjun FangMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing, 400037 China.
Hong LiuMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing, 400037 China.
Xu TanMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing, 400037 China.
Yingying MaMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing, 400037 China.
Xiao HanMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing, 400037 China.
Guo ChenMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing, 400037 China.
Ying ChenMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing, 400037 China.
Desheng GongClinical Laboratories, Shenyou Bio, Zhengzhou, China.
Shichun TuClinical Laboratories, Shenyou Bio, Zhengzhou, China.
Qin WenMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing, 400037 China.
Jing LiMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing, 400037 China.
Xi ZhangMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing, 400037 China.
Cheng ZhangMedical Center of Hematology, Xinqiao Hospital of Army Medical University, Chongqing, 400037 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a subtype of hematopoietic neoplasm affecting myeloid cells in blood and bone marrow. Molecular subtyping of AML provides in-depth insights into disease pathogenesis, facilitating clinical diagnostics and therapeutic management. While current molecular screening is mainly established on DNA-based approaches, including targeted sequencing of gene panels and polymerase chain reaction (PCR)-based fusion gene detection, transcriptome-based RNA-seq has gained increasing attention for its potential in improving molecular subtyping as well as in facilitating prognostic prediction and therapeutic selection. In this study, we aimed to identify transcriptomic signatures in molecular genotyping and risk stratification in a cohort of 125 patients with AML excluding those harboring

Indexed as

Acute myeloid leukemiaOlfactory receptorsRNA sequencing

Identifiers

PMID42328411
PMCPMC13278256

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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.