Evidence map›Paper›PMID 35356506›Full record

ArticlePathology oncology research : POR2022

A Risk Model Based on Immune-Related Genes Predicts Prognosis and Characterizes the Immune Landscape in Esophageal Cancer.

Yan Xie, Ruimin Fu, Zheng Xiao, Gang Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pathology oncology research : POR, 2022. 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
0.2field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  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

4 authors at 3 institutions in 1 country.

Yan XieDepartment of Clinical Laboratory, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China.
Ruimin FuCollege of Health Management, Henan Finance University, Zhengzhou, China.
Zheng XiaoDepartment of Clinical Laboratory, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China.
Gang LiDepartment of Clinical Laboratory, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China.
Zhengzhou University · CNHenan Provincial People's Hospital · CNHenan University of Economic and Law · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant immune gene expression has been shown to have close correlations with the occurrence and progression of esophageal cancer (EC). We aimed to generate a prognostic signature based on immune-related genes (IRGs) capable of predicting prognosis, immune checkpoint gene (ICG) expressions, and half-inhibitory concentration (IC

Indexed as

Esophageal NeoplasmsGene Expression Regulation, NeoplasticBiomarkers, TumorGene Expression ProfilingHumansPrognosisTumor MicroenvironmentBiomarkers, Tumorchemotherapyesophageal cancerimmune-related genesimmunotherapyprognosisrisk model

Identifiers

PMID35356506
PMCPMC8958959
OpenAlexW4220730432

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.