Evidence map›Paper›PMID 38495206›Full record

ArticleHeliyon2024

Bioinformatics analysis and clinical significance of NRP-1 in triple-negative breast cancer.

Xiao Ma, Haonan Liu, Congcong Shi, Yang Zhao, Hongmei Wang, Zhengxiang Han

Open access · goldAbstract 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
1.6field-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, 7 citations in OpenAlex.

  1. Review
  2. Review
  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

6 authors at 1 institution in 1 country.

Xiao MaDepartment of Oncology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, China.
Haonan LiuDepartment of Oncology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, China.
Congcong ShiDepartment of Gastroenterology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, China.
Yang ZhaoDepartment of Oncology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, China.
Hongmei WangDepartment of Oncology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, China.
Zhengxiang HanDepartment of Oncology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, China.
Xuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to investigate the diagnostic and prognostic values of neuropilin-1 (NRP-1) in triple-negative breast cancer (TNBC) and analyze its immune function in the tumor microenvironment. Methods: Based on The Cancer Genome Atlas (TCGA), Gene Expression Omnibus, Genotype Tissue Expression, Immune Cell Abundance Identifier (ImmuCellAI), Reactome, and Genomics of Drug Sensitivity in Cancer databases, the cancer tissues from 50 patients with TNBC and corresponding adjacent noncancerous tissues from 10 patients (tissue microarrays were purchased from Shanghai Xinchao Biotechnology Co., Ltd.) were collected for validation. Bioinformatics combined with immunohistochemistry was used to analyze the relationship among NRP-1 expression, prognosis, tumor immune cell infiltration, immune genes, and drug resistance so as to investigate the role of NRP-1 in the development of TNBC. Results: A significant difference in NRP-1 gene expression was found between the cancerous and noncancerous tissues ( Conclusion: NRP-1 can be used as a potential biomarker and therapeutic target in TNBC.

Indexed as

BiomarkersImmune infiltratesNRP-1Therapeutic targetsTriple-negative breast cancertumor purity

Identifiers

PMID38495206
PMCPMC10943386
OpenAlexW4392504873

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.