Evidence map›Paper›PMID 36684416›Full record

ArticleCancer informatics2023

Prevalence of Breast Cancer Subtypes Among Different Ethnicities and Bangladeshi Women: Demographic, Clinicopathological, and Integrated Cancer Informatics Analysis.

Diganta Islam, Md Shihabul Islam, Sanjida Islam Dorin, Jesmin

Open access · goldAbstract read
In one paragraph

Article in Cancer informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Diganta IslamDepartment of Genetic Engineering & Biotechnology, University of Dhaka, Dhaka, Bangladesh.
Md Shihabul IslamDepartment of Genetic Engineering & Biotechnology, University of Rajshahi, Rajshahi, Bangladesh.
Sanjida Islam DorinDepartment of Genetic Engineering & Biotechnology, University of Dhaka, Dhaka, Bangladesh.
JesminDepartment of Genetic Engineering & Biotechnology, University of Dhaka, Dhaka, Bangladesh.
University of Dhaka · BDUniversity of Rajshahi · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The molecular subtyping of breast cancer is related to estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). The present study aimed to systematically analyze the expression, function, and prognostic value of ER, PR, HER2, and their prevalence in different ethnic groups and among Bangladeshi breast cancer (BC) patients. Method: This study included 25 BC patients and 25 healthy controls, aged between 25 and 70 years. The study characteristics were compared using the ANOVA and Chi-square tests. Also, the multi-Omics dataset of 775 BC patients from TCGA was analyzed for ER, PR, and HER2 in breast cancer subtypes and compared among different ethnicities. Results: For most BD breast cancer cases, the age at diagnosis was ⩾40 years, had only a histopathological diagnosis ( Conclusion: A significant association was found between BC subtypes with different ethnicities and Bangladeshi women and these findings might aid in the prevention, management, and raising of awareness against risk factors in the near future.

Indexed as

Breast cancercBioPortalestrogen receptor (ER)human epidermal growth factor receptor 2 (HER2)luminal Aluminal Bprogesterone receptor (PR)subtypessurvival analysisTCGAtriple-negative breast cancer (TNBC)

Identifiers

PMID36684416
PMCPMC9850134
OpenAlexW4317042489

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.