Evidence map›Paper›PMID 32565927›Full record

ArticleExperimental and therapeutic medicine2020

PBX1 is a valuable prognostic biomarker for patients with breast cancer.

Xiang Ao, Wei Ding, Hu Ge, Yuan Zhang, Dan Ding, Ying Liu

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. PBX1: a TALE of two seasons-key roles during development and in cancer.Frontiers in cell and developmental biology · 2024
    Review
  3. Mosaic Chromosomal Alterations Are Associated With Increased Lung Cancer Risk: Insight From the INTEGRAL-ILCCO Cohort Analysis.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2023
    Article
  4. Article
  5. Research progress of PBX1 in developmental and regenerative medicine.International journal of medical sciences · 2023
    Review
  6. FADD as a key molecular player in cancer progression.Molecular medicine (Cambridge, Mass.) · 2022
    Review
  7. Review
  8. The FOXO family of transcription factors: key molecular players in gastric cancer.Journal of molecular medicine (Berlin, Germany) · 2022
    Review
  9. Article
  10. Review
  11. The regulation of PBXs and their emerging role in cancer.Journal of cellular and molecular medicine · 2022
    Review
  12. American journal of cancer research · 2022
    Article
  13. Review
  14. Review
  15. Article
  16. PBX1: a key character of the hallmarks of cancer.Journal of molecular medicine (Berlin, Germany) · 2021
    Review
  17. Article
  18. Article
  19. Review
  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

6 authors at 1 institution in 1 country.

Xiang AoCenter for Precision Medicine, Institute for Translational Medicine, College of Medicine, Qingdao University, Qingdao, Shandong 266021, P.R. China.
Wei DingDepartment of Comprehensive Internal Medicine, Affiliated Hospital, Qingdao University, Qingdao, Shandong 266021, P.R. China.
Hu GeCenter for Precision Medicine, Institute for Translational Medicine, College of Medicine, Qingdao University, Qingdao, Shandong 266021, P.R. China.
Yuan ZhangCenter for Precision Medicine, Institute for Translational Medicine, College of Medicine, Qingdao University, Qingdao, Shandong 266021, P.R. China.
Dan DingCenter for Precision Medicine, Institute for Translational Medicine, College of Medicine, Qingdao University, Qingdao, Shandong 266021, P.R. China.
Ying LiuCenter for Precision Medicine, Institute for Translational Medicine, College of Medicine, Qingdao University, Qingdao, Shandong 266021, P.R. China.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pre-B-cell leukemia transcription factor (PBX) proteins have important roles in the development of numerous organs. To date, four members of the PBX family have been identified to be involved in human cancer but little is known about their expression patterns and precise functions in breast cancer (BC) progression. The aim of the present study was to determine whether they have the potential to be prognostic biomarkers in patients with BC. The expression patterns of PBXs were evaluated using Oncomine, Cancer Cell Line Encyclopedia and Gene expression-based Outcome for Breast cancer Online algorithm analyses. The prognostic value of PBX1 was determined by Kaplan-Meier plotter analysis. It was observed that, among all PBX family members, only PBX1 was significantly upregulated in BC vs. normal tissues. Meta-analysis in the Oncomine database revealed that PBX1 was significantly upregulated in invasive breast carcinoma stroma, ductal breast carcinoma, invasive lobular breast carcinoma, invasive mixed breast carcinoma and male breast carcinoma compared with normal tissues. In addition, PBX1 was significantly correlated with forkhead box protein A1. Subtype analysis indicated that PBX1 overexpression was associated with luminal-like and hormone receptor-sensitive subtypes. In the survival analysis, a high expression level of PBX1 was associated with poor prognosis of patients with estrogen receptor (ER)-positive, luminal A and luminal B subtypes of BC. The results of the present study indicate that PBX1 may serve as a specific biomarker and essential prognostic factor for ER-positive, luminal A and luminal B subtypes of BC.

Indexed as

biomarkerbreast cancerdatabase miningPre-B-cell leukemia transcription factorprognosis

Identifiers

PMID32565927
PMCPMC7286203
OpenAlexW3022944528

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.