Evidence map›Paper›PMID 37741993›Full record

ArticleBMC cancer2023

Establishing a prognostic model based on immune-related genes and identification of BIRC5 as a potential biomarker for lung adenocarcinoma patients.

Qianhe Ren, Qifan Li, Chenye Shao, Pengpeng Zhang, Zhuangzhuang Hu, Jun Li, Wei Wang, Yue Yu

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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 3 institutions in 1 country.

Qianhe Ren *Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qifan Li *Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Chenye Shao *Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Pengpeng ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhuangzhuang HuDepartment of Urology, Shuyang First People's Hospital, Suqian, China.
Jun LiDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. dr_lijun1990@163.com.
Wei WangDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. wangwei15261883958@163.com.
Yue YuDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. yuyue2014@njmu.edu.cn.
Jiangsu Province Hospital · CNFirst Affiliated Hospital of Soochow University · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung adenocarcinoma (LUAD) is an extraordinarily malignant tumor, with rapidly increasing morbidity and poor prognosis. Immunotherapy has emerged as a hopeful therapeutic modality for lung adenocarcinoma. Furthermore, a prognostic model (based on immune genes) can fulfill the purpose of early diagnosis and accurate prognostic prediction.

methodsImmune-related mRNAs (IRmRNAs) were utilized to construct a prognostic model that sorted patients into high- and low-risk groups. Then, the prediction efficacy of our model was evaluated using a nomogram. The differences in overall survival (OS), the tumor mutation landscape, and the tumor microenvironment were further explored between different risk groups. In addition, the immune genes comprising the prognostic model were subjected to single-cell RNA sequencing to investigate the expression of these immune genes in different cells. Finally, the functions of BIRC5 were validated through in vitro experiments.

resultsPatients in different risk groups exhibited sharply significant variations in OS, pathway activity, immune cell infiltration, mutation patterns, and immune response. Single-cell RNA sequencing revealed that the expression level of BIRC5 was significantly high in T cells. Cell experiments further revealed that BIRC5 knockdown markedly reduced LUAD cell proliferation.

conclusionThis model can function as an instrumental variable in the prognostic, molecular, and therapeutic prediction of LUAD, shedding new light on the optimal clinical practice guidelines for LUAD patients.

Indexed as

Adenocarcinoma of LungLung NeoplasmsBiomarkersHumansNomogramsPrognosisSurvivinTumor MicroenvironmentBiomarkersBIRC5 protein, humanSurvivinImmune genesImmunotherapylung adenocarcinomaPrognosisRisk signatureTumor mutation burden

Identifiers

PMID37741993
PMCPMC10517491
OpenAlexW4386982900

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.