Evidence map›Paper›PMID 30066902›Full record

ArticleOncology reports2018

Prognostic values of the inhibitor of DNA‑binding family members in breast cancer.

Xiao-Ling Zhou, De Zeng, Yan-Hong Ye, Shu-Ming Sun, Xiao-Feng Lu, Wei-Quan Liang, Chun-Fa Chen, Hao-Yu Lin

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Article
  8. Inhibitor of Differentiation 1 (Id1) in Cancer and Cancer Therapy.International journal of medical sciences · 2020
    Review
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.

Xiao-Ling ZhouDepartment of Gynecology and Obstetrics, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
De ZengDepartment of Medical Oncology, The Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
Yan-Hong YeDepartment of Thyroid and Breast Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
Shu-Ming SunDepartment of Thyroid and Breast Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
Xiao-Feng LuDepartment of Thyroid and Breast Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
Wei-Quan LiangDepartment of Thyroid and Breast Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
Chun-Fa ChenDepartment of Thyroid and Breast Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
Hao-Yu LinDepartment of Thyroid and Breast Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
First Affiliated Hospital of Shantou University Medical College · CNShantou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inhibitor of DNA‑binding (ID) proteins are dominant‑negative modulators of transcription factors with basic helix‑loop‑helix (bHLH) structures, which control a variety of genes in cell cycle regulation. An increasing volume of evidence has demonstrated that the deregulated expression of IDs in several types of malignancy, including breast carcinoma, has been proven to serve crucial regulatory functions in tumorigenesis and the development of breast cancer (BC). The present study evaluated the prognostic values of the ID family members by investigating a set of publicly accessible databases, including Oncomine, bc‑GenExMiner, Kaplan‑Meier plotter and the Human Protein Atlas. The results demonstrated that mRNA levels of distinct IDs exhibited diverse profiles between BC and normal counterparts. The mRNA expression level of ID2 was significantly higher in breast cancer than normal tissues, while the mRNA expression levels of ID1, ID3 and ID4 were significantly lower in breast cancer tissues than in normal tissues. Furthermore, higher mRNA expression levels of ID1 and ID4 were associated with subgroups with lower pathological grades and fewer lymph node metastases. Survival analysis revealed that elevated mRNA levels of ID1 and ID4 predicted an improved survival in all patients with BC. Increased ID1 mRNA levels were associated with higher relapse‑free survival rates in all patients with BC, particularly in those with ER positive and Luminal A subtype tumors. Increased ID4 mRNA expression predicted longer survival times in all patients with BC, particularly in those with hormone receptor‑positive tumors or those treated with endocrine therapy. These results indicated that IDs are essential prognostic indicators in BC. Future studies on the effect of IDs on the pathogenesis and development of BC are warranted.

Indexed as

Databases, FactualBiomarkers, TumorBreast NeoplasmsCase-Control StudiesFemaleFollow-Up StudiesHumansInhibitor of Differentiation Protein 1Inhibitor of Differentiation Protein 2Inhibitor of Differentiation ProteinsNeoplasm InvasivenessNeoplasm ProteinsPrognosisSurvival RateBiomarkers, TumorID1 protein, humanID2 protein, humanID3 protein, humanID4 protein, humanInhibitor of Differentiation Protein 1Inhibitor of Differentiation Protein 2Inhibitor of Differentiation ProteinsNeoplasm Proteins

Identifiers

PMID30066902
PMCPMC6111598
OpenAlexW2884809018

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.