Evidence map›Paper›PMID 34226567›Full record

ArticleNPJ breast cancer2021

High prevalence of APOA1/C3/A4/A5 alterations in luminal breast cancers among young women in East Asia.

Ching-Hung Lin, Ruby Yun-Ju Huang, Tzu-Pin Lu, Kuan-Ting Kuo, Ko-Yun Lo, Ching-Hsuan Chen, I-Chun Chen, Yen-Shen Lu, Eric Y Chuang, Jean Paul Thiery and 2 more

Open access · goldAbstract read
In one paragraph

Article in NPJ breast cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

12 authors at 5 institutions in 2 countries.

Ching-Hung LinDepartment of Oncology, National Taiwan University Hospital, Taipei, Taiwan.ORCID http://orcid.org/0000-0003-2403-4056
Ruby Yun-Ju HuangSchool of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
Tzu-Pin LuInstitute of Epidemiology and Preventive Medicine, Department of Public Health, National Taiwan University, Taipei, Taiwan.ORCID http://orcid.org/0000-0003-3697-0386
Kuan-Ting KuoDepartment of Pathology, National Taiwan University Hospital, Taipei, Taiwan.
Ko-Yun LoGenomics Research Center, Academia Sinica, Taipei, Taiwan.
Ching-Hsuan ChenInstitute of Epidemiology and Preventive Medicine, Department of Public Health, National Taiwan University, Taipei, Taiwan.ORCID http://orcid.org/0000-0002-1182-8191
I-Chun ChenDepartment of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
Yen-Shen LuDepartment of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
Eric Y ChuangGraduate Institute of Biomedical Electronics and Bioinformatics and Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.
Jean Paul ThieryInstitute of Molecular and Cell Biology, A*STAR, Singapore, Singapore.
Chiun-Sheng HuangDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan. huangcs@ntu.edu.tw.ORCID http://orcid.org/0000-0002-6557-211X
Ann-Lii ChengDepartment of Oncology, National Taiwan University Hospital, Taipei, Taiwan.ORCID http://orcid.org/0000-0002-9152-6512
National Taiwan University Hospital · TWNational Taiwan University · TWAgency for Science, Technology and Research · SGGenomics Research Center, Academia Sinica · TWNational University of Singapore · SG

Funding

Ministry of Education (Ministry of Education, Republic of China (Taiwan)) NTU-109L901403Ministry of Health and Welfare (Ministry of Health and Welfare, Taiwan) MOHW105-TDU-B-211-134005Ministry of Science and Technology, Taiwan (Ministry of Science and Technology of Taiwan) MOST 109-2634-F-002-043-National Taiwan University Hospital (NTUH) NTU-ICRP-103R7557
6 · The paper itself

Abstract

In East Asia, the breast cancer incidence rate among women aged <50 years has rapidly increased. Emerging tumors are distinctly characterized by a high prevalence of estrogen receptor (ER)-positive/human epidermal growth factor receptor (HER2)-negative cancer. In the present study, we identified unique genetic alterations in these emerging tumors. We analyzed gene copy number variations (CNVs) in breast tumors from 120 Taiwanese patients, and obtained public datasets of CNV and gene expression (GE). The data regarding CNV and GE were separately compared between East Asian and Western patients, and the overlapping genes identified in the comparisons were explored to identify the gene-gene interaction networks. In the age <50 years/ER + /HER2- subgroup, tumors of East Asian patients exhibited a higher frequency of copy number loss in APOA1/C3/A4/A5, a lipid-metabolizing gene cluster (33 vs. 10%, P < .001) and lower APOA1/C3/A4/A5 expressions than tumors of Western patients. These copy number loss related- and GE-related results were validated in another Taiwanese cohort and in two GE datasets, respectively. The copy number loss was significantly associated with poor survival among Western patients, but not among East Asian patients. Lower APOA1, APOC3, and APOA5 expressions were associated with higher ESTIMATE immune scores, indicating an abundance of tumor-infiltrating immune cells. In conclusion, APOA1/C3/A4/A5 copy number loss was more prevalent in luminal breast tumors among East Asian women aged <50 years, and its immunomodulatory effect on the tumor microenvironment possibly plays various roles in the tumor biology of East Asian patients.

Identifiers

PMID34226567
PMCPMC8257799
OpenAlexW3181590127

What OpenQuestion 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 OpenQuestion graph.