Evidence map›Paper›PMID 38988583›Full record

ArticleHeliyon2024

Clinical significance and immune landscape of a novel immune cell infiltration-based prognostic model in lung adenocarcinoma.

Lupeng Qiu, Zizhong Yang, Guhe Jia, Yanjie Liang, Sicheng Du, Jian Zhang, Minglu Liu, Xiao Zhao, Shunchang Jiao

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Lupeng QiuDepartment of Medical Oncology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Zizhong YangSchool of Medicine, Nankai University, Tianjin, China.
Guhe JiaSchool of Medicine, Nankai University, Tianjin, China.
Yanjie LiangDepartment of Medical Oncology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Sicheng DuDepartment of Medical Oncology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Jian ZhangDepartment of Medical Oncology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Minglu LiuDepartment of Medical Oncology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Xiao ZhaoDepartment of Medical Oncology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Shunchang JiaoDepartment of Medical Oncology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor-infiltrating immune cells (TICs) play a central role in the tumor microenvironment, which can reflect the host anti-tumor immune response. However, few studies have explored TICs in predicting the prognosis of lung adenocarcinoma (LUAD). In our study, we enrolled 2470 LUAD patients from TCGA and GEO databases, and the normalized enrichment scores for 65 immune cell types were quantified for each patient. An immune-related risk score (IRRS) was built on the basis of 17 selected TICs using LASSO regression analysis, and the results showed that high-risk patients were correlated with shorter survival time for the LUAD cohorts. Correlation analyses between IRRS and clinical characteristics were also evaluated to validate the clinical use of IRRS. In addition, we analyzed the differences in the distribution of immune cell infiltration and immunoregulatory gene expression, which may facilitate individual immunotherapy. Based on the above result, we conclude that IRRS can act as a powerful predictor for risk stratification and prognosis prediction, and may facilitate the decision-making process for LUAD patients.

Indexed as

Lung adenocarcinomaPrognosisRisk scoreTumor-infiltrating immune cellTumor microenvironment

Identifiers

PMID38988583
PMCPMC11234107

What OpenQuestion holds

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Registered trials

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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.