Evidence map›Paper›PMID 36922519›Full record

ArticleScientific reports2023

Comprehensive characterization of B7 family members in NSCLC and identification of its regulatory network.

Mintao Xiao, Chunrong Pang, Shixin Xiang, Yueshui Zhao, Xu Wu, Mingxing Li, Fukuan Du, Yu Chen, Fang Wang, Qinglian Wen and 3 more

Open access · goldFull text read
In one paragraph

Article in Scientific reports, 2023. 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
1.4field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

13 authors at 4 institutions in 1 country.

Mintao Xiao *Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China.
Chunrong Pang *Sichuan Clinical Research Center for Birth Defects, Luzhou, Sichuan, People's Republic of China.
Shixin XiangLaboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China.
Yueshui ZhaoLaboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China.
Xu WuLaboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China.
Mingxing LiLaboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China.
Fukuan DuLaboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China.
Yu ChenLaboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China.
Fang WangLaboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China. 10911692@qq.com.
Qinglian WenDepartment of Oncology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.
Zhangang XiaoLaboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China. xzg555898@hotmail.com.
Zhongming YangDepartment of Oncology and Hematology, Hospital (T.C.M) Affiliated to Southwest Medical University, Luzhou, Sichuan, People's Republic of China. brainyang@swmu.edu.cn.
Jing ShenLaboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China. jingshen@swmu.edu.cn.
Southwest Medical University · CNFirst Affiliated Hospital of Sichuan Medical University · CNAffiliated Hospital of Southwest Medical University · CNShanghai Clinical Research Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

B7 family members act as co-stimulatory or co-inhibitory molecules in the adaptive immune system. Thisstudy aimed to investigate the dysregulation, prognostic value and regulatory network of B7 family members in non-small cell lung cancer (NSCLC). Data for lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) patients were extracted from public databases. Patient prognosis was determined by Kaplan-Meier analysis. The downstream signaling pathways of B7 family were identified via GO and KEGG analysis. The key B7 related genes were selected by network, correlation and functional annotation analysis. Most B7 family members were dysregulated in LUAD and LUSC. The expression of B7-1/2/H3 and B7-H5 were significantly associated with overall survival in LUAD and LUSC, respectively. The major pathway affected by B7 family was the EGFR tyrosine kinase inhibitor resistance and ErbB signaling pathway. MAPK1, MAPK3 and MAP2K1 were pivotal B7 related genes in both LUAD and LUSC. This study reveals an overall dysregulation of B7 family members in NSCLC and highlights the potential of combination use of tyrosine kinase inhibitors or MEK/ERK inhibitors with B7 member blockade for NSCLC treatment.

Indexed as

Adenocarcinoma of LungCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellLung NeoplasmsHumansPrognosis

Identifiers

PMID36922519
PMCPMC10017798
OpenAlexW4324355987

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read27
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.