Evidence map›Paper›PMID 37071330›Full record

ArticleCellular oncology (Dordrecht, Netherlands)2023

Comprehensive analysis of clinical prognostic features and tumor microenvironment landscape of CD11b

Qian Wang, Nan Zhang, Li Liu, Linlu Ma, Yuxin Tan, Xiaoyan Liu, Jinxian Wu, Guopeng Chen, Xinqi Li, Yuxing Liang and 1 more

Abstract read
In one paragraph

Article in Cellular oncology (Dordrecht, Netherlands), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Qian Wang *Department of Hematology, Zhongnan Hospital of Wuhan University, No.169 Donghu Road, Wuhan, 430072, China.
Nan Zhang *Department of Hematology, Zhongnan Hospital of Wuhan University, No.169 Donghu Road, Wuhan, 430072, China.
Li Liu *Department of Hematology, Zhongnan Hospital of Wuhan University, No.169 Donghu Road, Wuhan, 430072, China.
Linlu MaDepartment of Hematology, Zhongnan Hospital of Wuhan University, No.169 Donghu Road, Wuhan, 430072, China.
Yuxin TanDepartment of Hematology, Zhongnan Hospital of Wuhan University, No.169 Donghu Road, Wuhan, 430072, China.
Xiaoyan LiuDepartment of Hematology, Zhongnan Hospital of Wuhan University, No.169 Donghu Road, Wuhan, 430072, China.
Jinxian WuDepartment of Hematology, Zhongnan Hospital of Wuhan University, No.169 Donghu Road, Wuhan, 430072, China.
Guopeng ChenDepartment of Hematology, Zhongnan Hospital of Wuhan University, No.169 Donghu Road, Wuhan, 430072, China.
Xinqi LiDepartment of Hematology, Zhongnan Hospital of Wuhan University, No.169 Donghu Road, Wuhan, 430072, China.
Yuxing LiangDepartment of Hematology, Zhongnan Hospital of Wuhan University, No.169 Donghu Road, Wuhan, 430072, China.
Fuling ZhouDepartment of Hematology, Zhongnan Hospital of Wuhan University, No.169 Donghu Road, Wuhan, 430072, China. zhoufuling@whu.edu.cn.
Zhongnan Hospital of Wuhan University · CNWuhan University · CN

Funding

the Natural Science Foundation of China (NSFC) program 81900116the Zhongnan Hospital of Wuhan University Science, Technology, and Innovation Cultivation Fund ZNLH201902
6 · The paper itself

Abstract

backgroundImmunophenotyping surface molecules detected in the clinic are mainly applied in diagnostic confirmation and subtyping. However, the immunomodulatory molecules CD11b and CD64, are highly associated with leukemogenesis. Hence, the prognostic value of them and their potential biological functions merit further investigation.

methodsFlow cytometry was operated to detect immunophenotypic molecules from AML bone marrow samples. Multivariate cox regression, Kaplan-Meier analyses, and nomogram were conducted to predict survival. Transcriptomic data, lymphocyte subsets, and immunohistochemical staining were incorporated to identify potential biological functions of prognostic immunophenotype in acute myeloid leukemia (AML).

resultsWe classified 315 newly diagnosed AML patients of our center based on the expression of CD11b and CD64. The CD11b

conclusionsThis work might be of benefit to enhanced understanding of CD11b

Indexed as

Leukemia, Myeloid, AcuteTumor MicroenvironmentAntigens, CDHumansPrognosisProto-Oncogene Proteins c-bcl-2Antigens, CDProto-Oncogene Proteins c-bcl-2Acute myeloid leukemiaCD11bCD64Prognosis

Identifiers

PMID37071330
PMCPMC12974722
OpenAlexW4366241825

What OpenQuestion holds

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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.