Evidence map›Paper›PMID 41634865›Full record

ArticleExperimental hematology & oncology2026

Single-cell profiling reveals reprogrammed hierarchy and disrupted immune-stromal ecosystem in TP53-mutated AML.

Guo Qiu, Zhao Yin, Xiaoyue Lu, Rongtao Xue, Shengjiao Tang, Cuiyan Zhou, Xueping Huang, Menglin Fan, Yanjia Ai, Guangmei Xiang and 13 more

Abstract read
In one paragraph

Article in Experimental hematology & oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

23 authors.

Guo Qiu *Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Zhao Yin *Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Xiaoyue Lu *Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Rongtao Xue *Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Shengjiao TangDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Cuiyan ZhouDepartment of Hematology, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Xueping HuangDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Menglin FanDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Yanjia AiDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Guangmei XiangDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Luting WangDepartment of Hematology, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China.
Sijian YuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Guopan YuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Pengcheng ShiDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Ke ZhaoDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Hui LiuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Yu ZhangDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Meng ShanNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou, China.
Li XuanDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Jing XiongDepartment of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China. xhsky0717@126.com.
Xi XuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China. xxxuxi72@163.com.
Qifa LiuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China. liuqifa628@163.com.
Yu WangDepartment of Hematology, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China. ywyw3172@sina.com.

Funding

Key Technologies Research and Development Program 2022YFA1105003National Natural Science Foundation of China 32370845National Natural Science Foundation of China 82470214National Natural Science Foundation of China 82530005
6 · The paper itself

Abstract

backgroundTP53-mutated acute myeloid leukemia (AML) represents one of the most adverse-risk subtypes of AML, yet the mechanisms underlying its resistance and relapse remain poorly defined.

methodsWe performed single-cell RNA sequencing on bone marrow samples from 30 de novo AML patients (11 TP53-mutated, 19 TP53-wild-type) and systematically analyzed leukemic, immune, and stromal compartments to delineate differentiation trajectories, transcriptional heterogeneity, and microenvironmental remodeling. We also performed in vitro assays to validate ferroptosis resistance, leukemia-T cell dysfunction, and stromal remodeling suggested by the single-cell data.

resultsTP53-mutated AML exhibited a differentiation bias toward granulocyte-monocyte and late myeloid progenitors rather than arrest at the stem cell stage, with enhanced anti-apoptotic and inflammatory programs and a transcriptionally and functionally supported ferroptosis resistance phenotype as a novel hallmark linked to poor prognosis. Functionally, CD8⁺ T cells were predominantly exhausted with an enrichment of dysfunctional subsets and a concomitant reduction of NK cells. B cells showed impaired activation with skewed plasma cell composition, and myeloid cells acquired immunosuppressive features. In the stromal compartment, mesenchymal cells lost hematopoietic and immune-supportive functions and shifted toward osteogenic programs, further reinforcing leukemic survival. We also established an integrated ecosystem score that, together with TP53 mutation burden and mono- versus multi-hit status, captured prognostic heterogeneity and enabled clinical stratification.

conclusionsThis study provides the first single-cell landscape of de novo TP53-mutated AML, highlighting its reprogrammed leukemic hierarchy and disrupted immune-stromal ecosystem, and offering mechanistic insights and potential therapeutic targets for this high-risk subtype.

Indexed as

Adverse prognosisBone marrow ecosystemFerroptosis resistanceImmune exhaustionLeukemic hierarchyNiche remodelingSingle-cell RNA sequencingTP53-mutated AML

Identifiers

PMID41634865
PMCPMC12879378

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.