Evidence map›Paper›PMID 34048164›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2021

Plasma Circulating Mirnas Profiling for Identification of Potential Breast Cancer Early Detection Biomarkers.

A Rashid Jusoh, Sivanesan Vijaya Mohan, Tan Lu Ping, Tengku Ahmad Damitri Al Astani Bin Tengku Din, Juhara Haron, Roslini Che Romli, Hasnan Jaafar, Siti Norasikin Nafi, Tuan Ismail Tuan Salwani, Maya Mazuwin Yahya

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Time- and dose-dependent regulation of circular RNAs in the response of triple-negative breast cancer cells to ionizing radiation.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  7. MicroRNAs as Endocrine Modulators of Breast Cancer.International journal of molecular sciences · 2025
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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

10 authors at 2 institutions in 1 country.

A Rashid JusohDepartment of Biomedicine, School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.ORCID 0000-0003-0209-1949
Sivanesan Vijaya MohanMolecular Pathology Unit, Cancer Research Centre, Institute for Medical Research, Ministry of Health, Kuala Lumpur, Malaysia.ORCID 0000-0002-3223-9265
Tan Lu PingMolecular Pathology Unit, Cancer Research Centre, Institute for Medical Research, Ministry of Health, Kuala Lumpur, Malaysia.
Tengku Ahmad Damitri Al Astani Bin Tengku DinDepartment of Chemical Pathology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.ORCID 0000-0003-3265-1679
Juhara HaronDepartment of Chemical Pathology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Roslini Che RomliBreast Cancer Awareness and Research Unit, Hospital Universiti Sains Malaysia, Kelantan, Malaysia.
Hasnan JaafarDepartment of Pathology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Siti Norasikin NafiBreast Cancer Awareness and Research Unit, Hospital Universiti Sains Malaysia, Kelantan, Malaysia.
Tuan Ismail Tuan SalwaniDepartment of Surgery, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.ORCID 0000000277398323
Maya Mazuwin YahyaDepartment of Chemical Pathology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Universiti Sains Malaysia · MYHospital Universiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to characterize the miRNA expression profiles from plasma samples of our local breast cancer patients in comparison to healthy control by using miRNA PCR Array.

methodsIn this study, plasma miRNA profiles from eight early-stage breast cancer patients and nine age-matched (± 2 years) healthy controls were characterized by miRNA array-based approach, followed by differential gene expression analysis, Independent T-test and construction of Receiver Operating Characteristic (ROC) curve to determine the capability of the assays to discriminate between breast cancer and the healthy control.

resultsBased on the 372-miRNAs microarray profiling, a set of 40 differential miRNAs was extracted regarding to the fold change value at 2 and above. We further sub grouped 40 miRNAs of breast cancer patients that were significantly expressed at 2-fold change and higher. In this set, we discovered that 24 miRNAs were significantly upregulated and 16 miRNAs were significantly downregulated in breast cancer patients, as compared to the miRNA expression of healthy subjects. ROC curve analysis revealed that seven miRNAs (miR-125b-5p, miR-142-3p, miR-145-5p, miR-193a-5p, miR-27b-3p, miR-22-5p and miR-423-5p) had area under curve (AUC) value > 0.7 (AUC p-value < 0.05). Overlapping findings from differential gene expression analysis, ROC analysis, and Independent T-Test resulted in three miRNAs (miR-27b-3p, miR-22-5p, miR-145-5p). Cohen's effect size for these three miRNAs was large with d value are more than 0.95.

conclusionmiR-27b-3p, miR-22-5p, miR-145-5p could be potential biomarkers to distinguish breast cancer patients from healthy controls. A validation study for these three miRNAs in an external set of samples is ongoing.<br />.

Indexed as

Gene Expression Regulation, NeoplasticAdultBiomarkers, TumorBreast NeoplasmsCase-Control StudiesCirculating MicroRNAFemaleFollow-Up StudiesGene Expression ProfilingHumansMiddle AgedPrognosisROC CurveBiomarkers, TumorCirculating MicroRNABiomarkersbreast cancerHUSMmiRNAsRT-PCR

Identifiers

PMID34048164
PMCPMC8408402
OpenAlexW3165010514

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.