Evidence map›Paper›PMID 36193311›Full record

ArticleBioMed research international2022

Prognostic Index for Nonsmall Cell Lung Cancer Based on Immune-Related Genes Expression.

Ying Cao, Hongyu Zhu, Hailin Shen, Desen Liu, Zhenkai Li, Hailong Shang, Hongdi Du, Ying Wang, Juan Ye

Abstract read
In one paragraph

Article in BioMed research international, 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
–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.

Ying CaoDepartment of Radiotherapy, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou 215028, China.ORCID https://orcid.org/0000-0002-9346-2401
Hongyu ZhuDepartment of Radiotherapy, The Affiliated Suzhou Science & Technology Town Hospital of Nanjing Medical University, Suzhou 215153, China.ORCID https://orcid.org/0000-0002-3113-5560
Hailin ShenDepartment of Radiology, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou 215028, China.ORCID https://orcid.org/0000-0002-4952-947X
Desen LiuDepartment of Thoracic Surgery, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou 215028, China.ORCID https://orcid.org/0000-0003-1542-1433
Zhenkai LiDepartment of Radiology, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou 215028, China.ORCID https://orcid.org/0000-0002-4142-3419
Hailong ShangDepartment of Radiology, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou 215028, China.ORCID https://orcid.org/0000-0002-6344-5926
Hongdi DuDepartment of Radiology, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou 215028, China.ORCID https://orcid.org/0000-0003-0562-3832
Ying WangDepartment of Radiology, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou 215028, China.ORCID https://orcid.org/0000-0002-1284-7159
Juan YeDepartment of Radiology, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou 215028, China.ORCID https://orcid.org/0000-0002-2199-6658

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune system dysregulation is associated with tumor incidence and growth. Here, we established an RNA-based individualized immune signature associated with prognosis for nonsmall cell lung cancer (NSCLC) to guide adjuvant therapy. We downloaded publicly accessible data on RNA expression and clinical characteristics of NSCLC from the Cancer Genome Atlas (TCGA). From immune-related genes (IRGs) retrieved from the immunology database and analysis portal (ImmPort) database, we then screened differentially expressed immune-related genes (DEIRGs). Using overall survival (OS) as a clinical endpoint, we identified 26 prognostic DEIRGs via univariate and multivariate Cox regression analysis, and then developed a risk model based on these 26 IRGs with an area under the curve (AUC) of 0.701, and its predictive ability independent from other clinical factors. We also downloaded tumor immune infiltrate data and analyzed the correlations between lymphocytic infiltration with our risk scores, but found no significant association. Furthermore, we retrieved 86 differentially expressed transcription factors (TFs) to assess their regulatory relationships with the 26 prognostic DEIRGs. In summary, we developed a robust risk model to predict survival in patients with NSCLC, based on the expression of 26 IRGs. It provides novel predictive and therapeutic molecular targets.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsGene Expression Regulation, NeoplasticHumansPrognosisRNATranscription FactorsRNATranscription Factors

Identifiers

PMID36193311
PMCPMC9526605

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.