Evidence map›Paper›PMID 36407095›Full record

ArticleFrontiers in cell and developmental biology2022

Novel gene signature reveals prognostic model in acute lymphoblastic leukemia.

Panpan Chen, Guanfei Gao, Yuanlin Xu, Peijun Jia, Yan Li, Yating Li, Jiaming Cao, Jiangfeng Du, Shijie Zhang, Jingxin Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Discovering a novel glycosyltransferase geneFrontiers in microbiology · 2024
    Article
  3. 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

10 authors.

Panpan ChenSchool of Life Sciences, Zhengzhou University, Zhengzhou, China.
Guanfei GaoSchool of Life Sciences, Zhengzhou University, Zhengzhou, China.
Yuanlin XuSchool of Life Sciences, Zhengzhou University, Zhengzhou, China.
Peijun JiaSchool of Life Sciences, Zhengzhou University, Zhengzhou, China.
Yan LiSchool of Life Sciences, Zhengzhou University, Zhengzhou, China.
Yating LiSchool of Life Sciences, Zhengzhou University, Zhengzhou, China.
Jiaming CaoSchool of Life Sciences, Zhengzhou University, Zhengzhou, China.
Jiangfeng DuSchool of Life Sciences, Zhengzhou University, Zhengzhou, China.
Shijie ZhangSchool of Life Sciences, Zhengzhou University, Zhengzhou, China.
Jingxin ZhangSchool of Life Sciences, Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute lymphoblastic leukemia (ALL) is a type of hematological malignancy and has a poor prognosis. In our study, we aimed to construct a prognostic model of ALL by identifying important genes closely related to ALL prognosis. We obtained transcriptome data (RNA-seq) of ALL samples from the GDC TARGET database and identified differentially expressed genes (DEGs) using the "DESeq" package of R software. We used univariate and multivariate cox regression analyses to screen out the prognostic genes of ALL. In our results, the risk score can be used as an independent prognostic factor to predict the prognosis of ALL patients [hazard ratio (HR) = 2.782, 95% CI = 1.903-4.068,

Indexed as

acute lymphoblastic leukemiabioinformatics analysisdatabaseprognostic valuerisk model

Identifiers

PMID36407095
PMCPMC9669305

What OpenQuestion holds

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Registered trials

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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.