Evidence map›Paper›PMID 34722771›Full record

ArticleBioMed research international2021

Construction and Validation of an Immune-Related Gene Prognostic Index for Esophageal Squamous Cell Carcinoma.

Qinghua Ji, Yingying Cai, Sachin Mulmi Shrestha, Duo Shen, Wei Zhao, Ruihua Shi

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

Article in BioMed research international, 2021. 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
0.8field-weighted citation impact, top 26% 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, 8 citations in OpenAlex.

  1. Review
  2. Review
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

6 authors at 3 institutions in 1 country.

Qinghua Ji *Medical School, Southeast University, Nanjing, China.
Yingying Cai *Medical School, Southeast University, Nanjing, China.
Sachin Mulmi ShresthaMedical School, Southeast University, Nanjing, China.
Duo ShenMedical School, Southeast University, Nanjing, China.
Wei ZhaoMedical School, Southeast University, Nanjing, China.ORCID https://orcid.org/0000-0003-3812-5952
Ruihua ShiMedical School, Southeast University, Nanjing, China.ORCID https://orcid.org/0000-0002-5604-2731
Southeast University · CNZhongda Hospital Southeast University · CNNanjing Second Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitor (ICI) therapy may benefit patients with advanced esophageal squamous cell carcinoma (ESCC); however, novel biomarkers are needed to help predict the response of patients to treatment. Differentially expressed immune-related genes within The Cancer Genome Atlas ESCC dataset were selected using the weighted gene coexpression network and lasso Cox regression analyses. Based on these data, an immune-related gene prognostic index (IRGPI) was constructed. The molecular characteristics of the different IRGPI subgroups were assessed using mutation information and gene set enrichment analysis. Differences in immune cell infiltration and the response to ICI therapy and other drugs were also analyzed. Additionally, tumor and adjacent control tissues were collected from six patients with ESCC and the expression of these genes was verified using real-time quantitative polymerase chain reaction. IRGPI was designed based on

Indexed as

Biomarkers, PharmacologicalBRCA2 ProteinCarrier ProteinsClaudin-1Computational BiologyDatabases, GeneticEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaGene ExpressionGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansPrognosisReceptors, G-Protein-CoupledReceptors, NicotinicBiomarkers, PharmacologicalBRCA2 ProteinBRCA2 protein, humanCarrier ProteinsClaudin-1CLDN1 protein, humanFNBP1L protein, humanHCAR3 protein, humanReceptors, G-Protein-CoupledReceptors, Nicotinic

Identifiers

PMID34722771
PMCPMC8553461
OpenAlexW3206658976

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.