Evidence map›Paper›PMID 36785715›Full record

ArticleJournal of inflammation research2023

Association of Enolase-1 with Prognosis and Immune Infiltration in Breast Cancer by Clinical Stage.

Yue-Yu Shi, Xing-Lei Chen, Qian-Xin Chen, Yuan-Zhong Yang, Meng Zhou, Yue-Xiang Ren, Lu-Ying Tang, Ze-Fang Ren

Open access · goldAbstract read
In one paragraph

Article in Journal of inflammation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Bioinformatic Approach to Identify Positive PrognosticInternational journal of molecular sciences · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Role of ENO1 and its targeted therapy in tumors.Journal of translational medicine · 2024
    Review
  8. O-GlcNAcylation: Crosstalk between Hemostasis, Inflammation, and Cancer.International journal of molecular sciences · 2024
    Review
  9. 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 1 institution in 1 country.

Yue-Yu ShiSchool of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China.ORCID 0000-0002-3322-2801
Xing-Lei ChenSchool of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China.
Qian-Xin ChenSchool of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China.
Yuan-Zhong YangThe Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Meng ZhouSchool of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China.
Yue-Xiang RenThe Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Lu-Ying TangThe Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Ze-Fang RenSchool of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China.ORCID 0000-0002-7785-4704
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Enolase-1 (ENO1) plays a key role in malignancies. Previous studies on the association between ENO1 expression and breast cancer prognosis had yielded inconsistent results. In the present study, we assessed the prognostic effect of ENO1 in breast cancer using Guangzhou Breast Cancer Study (GZBCS) cohort with full consideration of the potential confounders and the modification effects. The results were further validated in the TCGA-BRCA cohort and explained by tumor immunity. Methods: ENO1 protein expressions were evaluated by immunohistochemistry in tissue microarrays from 961 patients with primary invasive breast cancer. Chi-square tests were used to assess the association of ENO1 levels with the patient's characteristics. Cox regression models were applied to assess the prognostic effects. The TCGA-BRCA cohort was utilized to validate the results and explore the potential mechanisms. The immune infiltration was determined using the CIBERSORT and ssGSEA algorithms; the correlation between ENO1 expression and the abundance of tumor-infiltrating immune cells (TIICs) and scores of immune-related functions was evaluated by Wilcoxon signed-rank tests and Spearman's rank test. Results: ENO1 protein expression exerted a protective effect on OS in stage I/II patients (HR=0.58, 95% CI: 0.35-0.96) but not in stage III patients (HR=1.42, 95% CI: 0.81-2.49, Conclusion: A higher expression of ENO1 was associated with a better prognosis only in early-stage breast cancer, which may be related to the different effects of ENO1 on immune infiltration, suggesting that ENO1 may be a promising target for precision immunotherapy in breast cancer.

Indexed as

breast cancerENO1prognosistissue microarraytumor-infiltrating immune cells

Identifiers

PMID36785715
PMCPMC9922065
OpenAlexW4319301045

What OpenQuestion holds

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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.