Evidence map›Paper›PMID 36233194›Full record

ArticleInternational journal of molecular sciences2022

Identification of Candidate Genes in Breast Cancer Induced by Estrogen Plus Progestogens Using Bioinformatic Analysis.

Yu Deng, He Huang, Jiangcheng Shi, Hongyan Jin

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Research progress on the role of the NEIL family in cancer.Frontiers in cell and developmental biology · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. Article
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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

4 authors at 2 institutions in 1 country.

Yu DengDepartment of Obstetrics and Gynecology, Peking University First Hospital, No. 8 Xishiku Street, Beijing 100034, China.ORCID 0000-0002-0452-3752
He HuangDepartment of Obstetrics and Gynecology, Peking University First Hospital, No. 8 Xishiku Street, Beijing 100034, China.
Jiangcheng ShiSchool of Life Sciences, Tiangong University, Tianjin 300387, China.ORCID 0000-0001-9934-4556
Hongyan JinDepartment of Obstetrics and Gynecology, Peking University First Hospital, No. 8 Xishiku Street, Beijing 100034, China.ORCID 0000-0002-7607-6031
Peking University · CNTiangong University · CN

Funding

Clinical Medicine Plus X-Young Scholar Project, Peking University; and the Fundamental Research Funds for the Central University PKU2018LCXQ001National Natural Science Foundation of China 81282548, 61673024, 81072129
6 · The paper itself

Abstract

Menopausal hormone therapy (MHT) was widely used to treat menopause-related symptoms in menopausal women. However, MHT therapies were controversial with the increased risk of breast cancer because of different estrogen and progestogen combinations, and the molecular basis behind this phenomenon is currently not understood. To address this issue, we identified differentially expressed genes (DEGs) between the estrogen plus progestogens treatment (EPT) and estrogen treatment (ET) using the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) data. As a result, a total of 96 upregulated DEGs were first identified. Seven DEGs related to the cell cycle (CCNE2, CDCA5, RAD51, TCF19, KNTC1, MCM10, and NEIL3) were validated by RT-qPCR. Specifically, these seven DEGs were increased in EPT compared to ET (p < 0.05) and had higher expression levels in breast cancer than adjacent normal tissues (p < 0.05). Next, we found that estrogen receptor (ER)-positive breast cancer patients with a higher CNNE2 expression have a shorter overall survival time (p < 0.05), while this effect was not observed in the other six DEGs (p > 0.05). Interestingly, the molecular docking results showed that CCNE2 might bind to 17β-estradiol (−6.791 kcal/mol), progesterone (−6.847 kcal/mol), and medroxyprogesterone acetate (−6.314 kcal/mol) with a relatively strong binding affinity, respectively. Importantly, CNNE2 protein level could be upregulated with EPT and attenuated by estrogen receptor antagonist, acolbifene and had interactions with cancer driver genes (AKT1 and KRAS) and high mutation frequency gene (TP53 and PTEN) in breast cancer patients. In conclusion, the current study showed that CCNE2, CDCA5, RAD51, TCF19, KNTC1, MCM10, and NEIL3 might contribute to EPT-related tumorigenesis in breast cancer, with CCNE2 might be a sensitive risk indicator of breast cancer risk in women using MHT.

Indexed as

Breast NeoplasmsProgestinsComputational BiologyEstradiolEstrogen Receptor AntagonistsEstrogen Replacement TherapyEstrogensFemaleHumansMedroxyprogesterone AcetateMenopauseMolecular Docking SimulationProgesteroneProto-Oncogene Proteins p21(ras)Receptors, EstrogenTranscription FactorsEstradiolEstrogen Receptor AntagonistsEstrogensMedroxyprogesterone AcetateProgesteroneProgestinsProto-Oncogene Proteins p21(ras)Receptors, EstrogenTCF19 protein, humanTranscription Factorsbioinformatic analysisbreast cancerestrogen plus progestogens treatmentmenopausal hormone therapy

Identifiers

PMID36233194
PMCPMC9569986
OpenAlexW4303709817

What Socratic 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 Socratic graph.