Evidence map›Paper›PMID 39990126›Full record

ArticleData in brief2025

SNP-array profiling data from breast cancer patients and healthy women's blood DNA samples.

Rafika Indah Paramita, Sonar Soni Panigoro, Fadilah Fadilah, Septelia Inawati Wanandi, Noorwati Sutandyo

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Rafika Indah ParamitaDoctoral Program in Biomedical Sciences, Faculty of Medicine, Universitas Indonesia, Jalan Salemba Raya number 4, Jakarta, 10430, Indonesia.
Sonar Soni PanigoroMaster's Programme in Biomedical Sciences, Faculty of Medicine, Universitas Indonesia, Jalan Salemba Raya number 4, Jakarta, 10430, Indonesia.
Fadilah FadilahDepartment of Medical Chemistry, Faculty of Medicine, Universitas Indonesia, Jalan Salemba Raya number 4, Jakarta, 10430, Indonesia.
Septelia Inawati WanandiMaster's Programme in Biomedical Sciences, Faculty of Medicine, Universitas Indonesia, Jalan Salemba Raya number 4, Jakarta, 10430, Indonesia.
Noorwati SutandyoDepartment of Hematology and Medical Oncology, Dharmais National Cancer Center Hospital, Jalan Letjen S. Parman, Jakarta, 11420, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is commonly acknowledged as the primary type of cancer on a global scale, exerting a substantial influence on death rates, particularly in developing countries. The aforementioned discovery provides evidence in favor of the concept that genetic factors may contribute to the onset of breast cancer. This paper presents the unprocessed idat data containing single nucleotide polymorphisms (SNPs) acquired from breast cancer patients and a control group comprising of healthy women. The DNA was obtained from stored blood samples that were collected from a total of 48 female patients diagnosed with breast cancer at Cipto Mangunkusumo National Hospital Jakarta and Dharmais National Cancer Center Hospital Jakarta. Additionally, 24 healthy women were included as control subjects. Subsequently, the DNA samples were subjected to hybridization onto Infinium Asian Screening Array (ASA)'s beadchips. The chip was then subjected to fluorescence intensity measurements using an iScan machine manufactured by Illumina. The data output is produced in the form of a .idat file for each sample. Subsequently, further quality control measures and population stratification analysis were conducted using PLINK (v1.9). After the conclusion of the quality control procedure, 72 individuals and a dataset consisting of 424,285 genetic variants were selected for further analysis. The idat raw data files have been added to the Gene Expression Omnibus (GEO) with accession number: GSE245794 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE245794)

Indexed as

Blood DNA samplesBreast cancerDNA mutationsGene Expression Omnibus (GEO)SNP-array

Identifiers

PMID39990126
PMCPMC11847265

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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.