Evidence map›Paper›PMID 31715586›Full record

ArticleAging2019

Bioinformatic profiling of prognosis-related genes in the breast cancer immune microenvironment.

Fang Bai, Yuchun Jin, Peng Zhang, Hongliang Chen, Yipeng Fu, Mingdi Zhang, Ziyi Weng, Kejin Wu

Open access · greenAbstract read
In one paragraph

Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. New insights into the Lck-NF-κB signaling pathway.Frontiers in cell and developmental biology · 2023
    Review
  3. Article
  4. Article
  5. Infiltration of LPAR5Frontiers in immunology · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Bioinformatic Profiling of Prognosis-Related Genes in Malignant Glioma Microenvironment.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  16. Article
  17. Article
  18. Identification of Genes with Prognostic Value in the Breast Cancer Microenvironment Using Bioinformatics Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  19. Article
  20. 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 2 institutions in 1 country.

Fang BaiBreast Surgery, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China.
Yuchun JinBreast Surgery, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China.
Peng ZhangBreast Surgery, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China.
Hongliang ChenBreast Surgery, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China.
Yipeng FuBreast Surgery, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China.
Mingdi ZhangBreast Surgery, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China.
Ziyi WengDepartment of General Surgery, Shanghai International Medical Center, Shanghai 201318, China.
Kejin WuBreast Surgery, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China.
Obstetrics and Gynecology Hospital of Fudan University · CNShanghai International Medical Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the microenvironment of breast cancer, immune cell infiltration is associated with an improved prognosis. To identify immune-related prognostic markers and therapeutic targets, we determined the lymphocyte-specific kinase (LCK) metagene scores of samples from breast cancer patients in The Cancer Genome Atlas. The LCK metagene score correlated highly with other immune-related scores, as well as with the clinical stage, prognosis and tumor suppressor gene mutation status (

Indexed as

Biomarkers, TumorBreast NeoplasmsComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLymphocyte Specific Protein Tyrosine Kinase p56(lck)Lymphocytes, Tumor-InfiltratingPrognosisTumor EscapeTumor MicroenvironmentBiomarkers, TumorLCK protein, humanLymphocyte Specific Protein Tyrosine Kinase p56(lck)breast cancerestimation of STromal and Immune cells in MAlignant Tumours using Expression data (ESTIMATE)immune-related scoreslymphocyte-specific kinase (LCK) metagene

Identifiers

PMID31715586
PMCPMC6874454
OpenAlexW2985141861

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.