Evidence map›Paper›PMID 39068670›Full record

ArticleAging2024

Systematic characterization of the expression, prognosis and immune characteristics of PLOD family genes in breast cancer.

Dan-Dan Wang, Lei Li, Yu-Qi Fu, Su-Jin Yang, Xiu Chen, Jun-Chen Hou, Qian Zhang, Xiao-Xue Tian, Jin-Hai Tang, Jian Zhang and 1 more

Abstract read
In one paragraph

Article in Aging, 2024. 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
–field-weighted citation impact
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.

  1. Article
  2. Bioinformatic Approach to Identify Positive PrognosticInternational journal of molecular sciences · 2025
    Article
  3. Article
  4. 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

11 authors.

Dan-Dan WangDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Lei LiDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Yu-Qi FuDepartment of Medical Oncology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing 210009, China.
Su-Jin YangDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Xiu ChenDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Jun-Chen HouDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Qian ZhangDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Xiao-Xue TianDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Jin-Hai TangDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Jian ZhangDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
He-Da ZhangDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe expression patterns and prognostic value of Procollagen-lysine, 2-oxoglutarate 5-dioxygenase (PLOD) family genes in breast cancer remain to be elucidated.

methodsThe expression levels, prognostic value, and biological function of PLODs were determined using Oncomine, cBioPortal, GEPIA, Timer, UALCAN, PrognoScan, GeneMANIA, Metascape, and breast cancer tissue microarrays.

resultsThe expressions of PLOD1 and PLOD3 were upregulated in breast cancer tissues, indicating worse clinical stages. High expression levels of PLOD family genes were associated with worse disease-free survival and distant metastasis-free survival, while high expression levels of PLOD1 and PLOD3 were related to worse overall survival in all breast cancer patients. The levels of PLOD family genes were all significantly higher in the age ≤51 y group, HR-negative patients, and triple negative breast cancer (TNBC) patients. They are associated with tumor-infiltrating immune cells (TIICs), including CD4+ T cells, CD8+ T cells, B cells, macrophages, neutrophils, and dendritic cells. According to co-expression gene analysis and functional enrichment, they are associated with protein hydroxylation, collagen biosynthesis and modifying enzymes, collagen metabolism, RNA splicing, extracellular matrix organization, VEGFA-VEGFR2 signaling pathway, and skeletal system development. Immunohistochemistry showed that the expressions of all PLOD family genes were significantly elevated in breast cancer tissues. PLOD1 expression was positively correlated with ER, TNBC status, and tumor grade. PLOD2 expression was positively connected with Ki-67 status. PLOD3 expression was positively related with age and tumor grade.

conclusionsPLOD family genes are novel potential prognostic biomarkers for breast cancer, and targeting PLOD inhibitors might be an effective strategy for breast cancer therapy.

Indexed as

Breast NeoplasmsGene Expression Regulation, NeoplasticProcollagen-Lysine, 2-Oxoglutarate 5-DioxygenaseBiomarkers, TumorFemaleHumansLymphocytes, Tumor-InfiltratingMiddle AgedPrognosisBiomarkers, TumorPLOD1 protein, humanPLOD3 protein, humanProcollagen-Lysine, 2-Oxoglutarate 5-Dioxygenasebiomarkerbreast canceronline databasesPLOD family genestumor-infiltrating immune cells

Identifiers

PMID39068670
PMCPMC11315392

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.