Evidence map›Paper›PMID 36061194›Full record

ArticleFrontiers in genetics2022

Identification of a prognostic model based on costimulatory molecule-related subtypes and characterization of tumor microenvironment infiltration in acute myeloid leukemia.

Yan Mao, Zhengyun Hu, Xuejiao Xu, Jinwen Xu, Chuyan Wu, Feng Jiang, Guoping Zhou

Abstract read
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Article in Frontiers in genetics, 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Regulation of calcium homeostasis by S100A12 drives NETosis in chronic kidney disease.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yan MaoDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhengyun HuDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xuejiao XuDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jinwen XuDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chuyan WuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Feng JiangDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Guoping ZhouDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Costimulatory molecules have been found to play significant roles in anti-tumor immune responses, and are deemed to serve as promising targets for adjunctive cancer immunotherapies. However, the roles of costimulatory molecule-related genes (CMRGs) in the tumor microenvironment (TME) of acute myeloid leukemia (AML) remain unclear. In this study, we described the CMRG alterations in the genetic and transcriptional fields in AML samples chosen from two datasets. We next evaluated their expression and identified two distinct costimulatory molecule subtypes, which showed that the alterations of CMRGs related to clinical features, immune cell infiltration, and prognosis of patients with AML. Then, a costimulatory molecule-based signature for predicting the overall survival of AML patients was constructed, and the predictive capability of the proposed signature was validated in AML patients. Moreover, the constructed costimulatory molecule risk model was significantly associated with chemotherapeutic drug sensitivity of AML patients. In addition, the identified genes in the proposed prognostic signature might play roles in pediatric AML. CMRGs were found to be potentially important in the AML through our comprehensive analysis. These findings may contribute to improving our understanding of CMRGs in patients with AML, as well as provide new opportunities to assess prognosis and develop more effective immunotherapies.

Indexed as

acute myeloid leukemiacostimulatory moleculeoverall survivalprognosistumor microenvironment

Identifiers

PMID36061194
PMCPMC9437340

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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.