Evidence map›Paper›PMID 31869749›Full record

ArticleTranslational oncology2020

Genetic Profiling of Breast Cancer with and Without Preexisting Metabolic Disease.

Wenjiang Jing, Ling Li, Xiumei Zhang, Shouxin Wu, Jiangman Zhao, Qunxing Hou, Haotian Wu, Wu Ma, Shuheng Li, Huimin Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 46% 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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Discoid Domain Receptors Signaling in Macrophages-Mediated Diseases.International journal of general medicine · 2025
    Review
  5. Review
  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

11 authors at 4 institutions in 1 country.

Wenjiang JingDepartment of Oncology, The Aviation Hanzhong 3201 Hospital, Xi'an Jiao Tong University, Hanzhong 723000, Shaanxi, China.
Ling LiDepartment of Oncology, Tengzhou Central People's Hospital, Jining Medical University, Tengzhou 277500, Shandong, China.
Xiumei ZhangDepartment of Pathology, People's Hospital of Xinghua City, Xinghua 225700, Jiangsu, China.
Shouxin WuBiotecan Medical Diagnostics Co., Ltd., Zhangjiang Center for Translational Medicine, Shanghai 201203, China.
Jiangman ZhaoBiotecan Medical Diagnostics Co., Ltd., Zhangjiang Center for Translational Medicine, Shanghai 201203, China.
Qunxing HouBiotecan Medical Diagnostics Co., Ltd., Zhangjiang Center for Translational Medicine, Shanghai 201203, China.
Haotian WuBiotecan Medical Diagnostics Co., Ltd., Zhangjiang Center for Translational Medicine, Shanghai 201203, China.
Wu MaDepartment of Oncology, The Aviation Hanzhong 3201 Hospital, Xi'an Jiao Tong University, Hanzhong 723000, Shaanxi, China.
Shuheng LiDepartment of Thyroid and Breast Surgery, Tengzhou Central People's Hospital, Jining Medical University, Tengzhou 277500, Shandong, China.
Huimin LiuBiotecan Medical Diagnostics Co., Ltd., Zhangjiang Center for Translational Medicine, Shanghai 201203, China. Electronic address: hmliu@biotecan.com.
Binhui YangDepartment of Orthopaedic, The Aviation Hanzhong 3201 Hospital, Xi'an Jiao Tong University, Hanzhong 723000, Shaanxi, China. Electronic address: ybh3201@163.com.
Hanzhong People's Hospital · CNJining Medical University · CNTengzhou Central People's Hospital · CNXintai People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death among women. Various mechanisms are involved in the initiation and progression of breast cancer. Metabolic dysregulation has been associated with increasing breast cancer incidence and mortality. However, little is known about how metabolic disease regulates the development and progression of breast cancer at the molecular level. Here, using a hybridization capture-based panel including 124 cancer-associated genes, we performed targeted next-generation sequencing of tumor tissues and matched blood samples from 20 postmenopausal patients with primary breast cancer, in which 6 cases suffered from preexisting metabolic disorders including hypertension, type 2 diabetes, and coronary heart disease. We took only the protein-altering variants and identified 170 somatic mutations of 59 genes. Among these, 40 mutated genes were found in the metabolic disease group, and 33 mutated genes were found in the non-metabolic disease group. Importantly, nonsynonymous mutations of 26 genes (MSH3, BRAF, MLH3, MTOR, DDR2, ALK, etc.) were uniquely present in the metabolic disease group. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were performed to investigate biological functions and key pathways of somatic mutations. TP53, PIK3CA, and PTEN were the top three commonly mutated genes at a higher frequency compared with the Cancer Genome Atlas (TCGA) data, and several novel but infrequent mutations in other genes were also found. Although further studies are required to validate these variants, our results are the first to suggest a specific molecular profile of breast cancer with preexisting metabolic disease.

Identifiers

PMID31869749
PMCPMC6931193
OpenAlexW2996037717

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.