Evidence map›Paper›PMID 34877770›Full record

ArticleJournal of cellular and molecular medicine2022

Clinical and prognostic implications of an immune-related risk model based on TP53 status in lung adenocarcinoma.

Xuming Song, Qiang Chen, Jifan Wang, Qixing Mao, Wenjie Xia, Lin Xu, Feng Jiang, Gaochao Dong

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Journal of thoracic disease · 2022
    Article
  5. 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

8 authors at 2 institutions in 1 country.

Xuming SongThe Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
Qiang ChenXuZhou Central Hospital, Xuzhou, China.
Jifan WangThe Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
Qixing MaoThe Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
Wenjie XiaThe Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
Lin XuThe Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
Feng JiangThe Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
Gaochao DongThe Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0002-7026-6280
Jiangsu Cancer Hospital · CNXuzhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TP53 mutation is the most widespread mutation in lung adenocarcinoma (LUAD). Meanwhile, p53 (encoded by TP53) has recently been implicated in immune responses. However, it is still unknown whether TP53 mutation remodels the tumour microenvironment to influence tumour progression and prognosis in LUAD. In this study, we developed a 6-gene immune-related risk model (IRM) to predict the survival of patients with LUAD in The Cancer Genome Atlas (TCGA) cohort based on TP53 status, and the predictive ability was confirmed in 2 independent cohorts. TP53 mutation led to a decreased immune response in LUAD. Further analysis revealed that patients in the high-index group had observably lower relative infiltration of memory B cells and regulatory T cells and significantly higher relative infiltration of neutrophils and resting memory CD4

Indexed as

Adenocarcinoma of LungLung NeoplasmsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansPrognosisTumor MicroenvironmentTumor Suppressor Protein p53Biomarkers, TumorTP53 protein, humanTumor Suppressor Protein p53immune profileimmune prognostic modellung adenocarcinomaTP53 mutation

Identifiers

PMID34877770
PMCPMC8743672
OpenAlexW4200187391

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.