Evidence map›Paper›PMID 33102231›Full record

ArticleFrontiers in oncology2020

Hematopoietic Gene Expression Regulation Through m

Zheng Zhou, Shaobo Mo, Ruiqi Gu, Weixing Dai, Xinhui Zou, Lingyu Han, Long Zhang, Renjie Wang, Guoxiang Cai

Abstract read
In one paragraph

Article in Frontiers in oncology, 2020. 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. 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

9 authors.

Zheng ZhouDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Shaobo MoDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Ruiqi GuDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Weixing DaiDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Xinhui ZouSchool of Public Health, Shanghai Medical College, Fudan University, Shanghai, China.
Lingyu HanDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Long ZhangDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Renjie WangDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Guoxiang CaiDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethylation of N6 adenosine (m

methodsGene set variation analysis (GSVA) and gene set enrichment analysis (GSEA) were adopted to reveal the signal pathway which was most likely affected by m

resultsThe hematopoietic cell lineage (HCL) signaling pathway was disclosed through GSEA and GSVA. Seven HCL-related genes were determined in the LASSO model to construct signature, with AUC 0.663, 0.708, and 0.703 at 1-, 3-, and 5-year RFS, respectively. Independent datasets analysis and stratification analysis indicated that the HCL-related signature was reliable in distinguishing high- and low-risk stage III CRC patients. Two nomograms incorporating the signature and pathological N stage were set up, which yielded good discrimination and calibration in the predictions of prognosis for stage III CRC patients.

conclusionsA novel HCL-related signature was developed as a predictive model for survival rate of stage III CRC patients. Nomograms based on the signature were advantageous to facilitate personalized counseling and treatment in stage III CRC.

Indexed as

colorectal cancerm6Aprognosissignaturestage III

Identifiers

PMID33102231
PMCPMC7556240

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.