Evidence map›Paper›PMID 37114075›Full record

ArticleClinical Medicine Insights. Oncology2023

Correlation of NNMT and DKK1 Protein Expression With Clinicopathological Characteristics and Prognosis of Breast Cancer.

Tairong Liang, Xiuqian Wu, Lan Wang, Tiantian Song, Peishan Wu, Yongdong Niu, Haihua Huang

Open access · goldAbstract read
In one paragraph

Article in Clinical Medicine Insights. Oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 1 country.

Tairong LiangDepartment of Pathology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
Xiuqian WuThe Affiliated Cancer Hospital of Shantou University Medical College, Shantou, China.
Lan WangDepartment of Pathology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
Tiantian SongDepartment of Pharmacology, Shantou University Medical College, Shantou, China.
Peishan WuDepartment of Pathology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
Yongdong NiuDepartment of Pharmacology, Shantou University Medical College, Shantou, China.
Haihua HuangDepartment of Pathology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China.ORCID https://orcid.org/0000-0003-4452-5274
Shantou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nicotinamide N-methyltransferase (NNMT) and Dickkopf-1 (DKK1) play an important role in the development of breast cancer, and the purpose of this study was designed to examine the clinical and prognostic significance of NNMT and DKK1 in breast cancer. Methods: The GEPIA2 database was used to evaluate the expression and survival of NNMT mRNA and DKK1 mRNA of breast cancer. Then an immunohistochemical study was carried out on 374 cases of breast tissue to identify the protein expression and significance of NNMT and DKK1. Next, the prognostic significance of DKK1 in breast cancer was explored by COX and Kaplan-Meier models. Results: Protein NNMT expression was correlated with lymph node metastasis and histological grade ( Conclusions: Nicotinamide N-methyltransferase and DKK1 were linked to breast cancer malignancy and invasion. Breast cancer patients with low DKK1 expression had a worse prognosis. Oncotypes of NNMT and DKK1 expression predicted patient outcomes.

Indexed as

Breast cancerclinicopathological featuresDKK1NNMTsurvival

Identifiers

PMID37114075
PMCPMC10126688
OpenAlexW4366697616

What OpenQuestion holds

Textmetadata
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.