Evidence map›Paper›PMID 36835467›Full record

ArticleInternational journal of molecular sciences2023

New Biomarkers Based on Dendritic Cells for Breast Cancer Treatment and Prognosis Diagnosis.

Fanjia Zhao, Fang Yan, Haihong Liu

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 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
0.8field-weighted citation impact, top 26% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors at 2 institutions in 1 country.

Fanjia ZhaoDepartment of Mathematics, Yunnan Normal University, Kunming 650500, China.
Fang YanDepartment of Mathematics, Yunnan Normal University, Kunming 650500, China.
Haihong LiuDepartment of Mathematics, Yunnan Normal University, Kunming 650500, China.
Yunnan Normal University · CNYunnan University · CN

Funding

Applied Basic Research Foundation of Yunnan Province LS21005National Natural Science Foundation of China 12062027National Natural Science Foundation of China 12162032Scholarship for Academic Leader of Yunnan Province 2019HB015
6 · The paper itself

Abstract

Dendritic cells(DCs) play a protective role in the antitumor immunity of most cancers, which can be divided into conventional dendritic cells (cDCs) and plasmacytoid dendritic cells (pDCs). Most current studies are only based on either cDCs or pDCs for the study of the relationship between DCs and breast cancer prognosis, without combining the two together. We aimed to select new biomarkers from pDCs and cDCs. In this paper, the xCell algorithm was first used to calculate the cellular abundance of 64 types of immune cells and stromal cells in tumor samples from the TCGA database, and the high-abundance pDC group and cDC group were divided according to the results of a survival analysis. Then, we looked for the co-expressed gene module of highly infiltrating pDC and cDC patients with a weighted correlation network analysis (WGCNA) and screened out the hub genes, including

Indexed as

Biomarkers, TumorBreast NeoplasmsDendritic CellsFemaleHumansPrognosisBiomarkers, Tumorbioinformatics analysisbreast cancerdendritic cellsimmunotherapyprognosis

Identifiers

PMID36835467
PMCPMC9963148
OpenAlexW4321374707

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.