Evidence map›Paper›PMID 35871768›Full record

ArticleJournal of cellular and molecular medicine2022

Identification of necroptosis-related gene signature and characterization of tumour microenvironment infiltration in non-small-cell lung cancer.

Juji Dai, Yangyang Fu

Abstract 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Identification of a novel ADCC-related gene signature for predicting the prognosis and therapy response in lung adenocarcinoma.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
    Article
  5. Identification of TNFRSF1A as a potential biomarker for osteosarcoma.Cancer biomarkers : section A of Disease markers · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

2 authors.

Juji DaiDepartment of Colorectal and Anal Surgery, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yangyang FuDivision of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Heart and Lung, Wenzhou, China.ORCID 0000-0001-5173-1987

Funding

Wenzhou Science and Technology Bureau Y20210872
6 · The paper itself

Abstract

Necroptosis is a programmed necrosis in a caspase-independent fashion. The role of necroptosis-related genes (NRGs) in lung cancer remains unknow. Herein, we classified TCGA-LUAD cohort into two necroptosis-related subtypes (C1 and C2) by consensus clustering analysis. The result showed that subtype C1 had a favourable prognosis and higher infiltration levels of immune cells. Moreover, subtype C1 was more activated in immune-associated pathways. Then, we established an NRG prognosis model (NRG score) composed of six NRGs (RIPK3, MLKL, TLR2, TLR4, TNFRSF1A, NDRG2) and divided the cohort into low- and high-risk group. We found that the NRG score was associated with prognosis, tumour immune microenvironment and tumour mutation burden. We also constructed an accurate nomogram model to improve the clinical applicability of NRG score. The result indicated that NRG score may be an independent prognostic marker for lung cancer patients. Taken together, we established a prognosis model that may deepen the understanding of NRGs in lung cancer and provide a basis for developing more effective immunotherapy strategies.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsHumansNecroptosisNecrosisTumor MicroenvironmentTumor Suppressor ProteinsNDRG2 protein, humanTumor Suppressor Proteinsbioinformaticsnecroptosisnon-small-cell lung cancerprognostic signaturetumour immune microenvironment

Identifiers

PMID35871768
PMCPMC9443942

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.