Evidence map›Paper›PMID 33925125›Full record

ArticleCancers2021

Development of a microRNA Panel for Classification of Abnormal Mammograms for Breast Cancer.

Ruiyang Zou, Sau Yeen Loke, Veronique Kiak-Mien Tan, Swee Tian Quek, Pooja Jagmohan, Yew Chung Tang, Preetha Madhukumar, Benita Kiat-Tee Tan, Wei Sean Yong, Yirong Sim and 17 more

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

27 authors.

Ruiyang ZouDepartment of Research and Development, MiRXES Lab, Singapore 138623, Singapore.ORCID 0000-0002-3177-2762
Sau Yeen LokeCellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore, Singapore 169610, Singapore.
Veronique Kiak-Mien TanSingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore.
Swee Tian QuekDepartments of Diagnostic Imaging, National University Hospital and Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.ORCID 0000-0001-7561-7492
Pooja JagmohanDepartments of Diagnostic Imaging, National University Hospital and Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
Yew Chung TangDepartment of Research and Development, MiRXES Lab, Singapore 138623, Singapore.ORCID 0000-0003-0890-7822
Preetha MadhukumarSingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore.
Benita Kiat-Tee TanSingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore.
Wei Sean YongSingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore.
Yirong SimSingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore.ORCID 0000-0001-8758-0455
Sue Zann LimSingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore.
Eunice PngSingHealth Polyclinics, Singapore 150167, Singapore.
Shu Yun Sherylyn LeeDepartment of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore.
Mun Yew Patrick ChanDepartment of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore.
Teng Swan Juliana HoSingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore.
Boon Kheng James KhooSingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore.
Su Lin Jill WongNational Cancer Centre Singapore, Division of Oncologic Imaging, Singapore 169610, Singapore.
Choon Hua ThngSingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore.
Bee Kiang ChongDepartment of Diagnostic Radiology, Tan Tock Seng Hospital, Singapore 308433, Singapore.
Yik Ying TeoSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
Heng-Phon TooDepartment of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore.
Mikael HartmanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
Ngiap Chuan TanSingHealth Polyclinics, Singapore 150167, Singapore.
Ern Yu TanDepartment of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore.
Soo Chin LeeDepartment of Hematology-Oncology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 119228, Singapore.
Lihan ZhouDepartment of Research and Development, MiRXES Lab, Singapore 138623, Singapore.
Ann Siew Gek LeeCellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore, Singapore 169610, Singapore.ORCID 0000-0001-9719-9332

Funding

National Medical Research Council (NMRC) of Singapore NMRC/CBRG/0087/2015National Medical Research Council of Singapore NMRC/CBRG/0087/2015
6 · The paper itself

Abstract

Mammography is extensively used for breast cancer screening but has high false-positive rates. Here, prospectively collected blood samples were used to identify circulating microRNA (miRNA) biomarkers to discriminate between malignant and benign breast lesions among women with abnormal mammograms. The Discovery cohort comprised 72 patients with breast cancer and 197 patients with benign breast lesions, while the Validation cohort had 73 and 196 cancer and benign cases, respectively. Absolute expression levels of 324 miRNAs were determined using RT-qPCR. miRNA biomarker panels were identified by: (1) determining differential expression between malignant and benign breast lesions, (2) focusing on top differentially expressed miRNAs, and (3) building panels from an unbiased search among all expressed miRNAs. Two-fold cross-validation incorporating a feature selection algorithm and logistic regression was performed. A six-miRNA biomarker panel identified by the third strategy, had an area under the curve (AUC) of 0.785 and 0.774 in the Discovery and Validation cohorts, respectively, and an AUC of 0.881 when differentiating between cases versus those with benign lesions or healthy individuals with normal mammograms. Biomarker panel scores increased with tumor size, stage and number of lymph nodes involved. Our work demonstrates that circulating miRNA signatures can potentially be used with mammography to differentiate between patients with malignant and benign breast lesions.

Indexed as

abnormal mammogramsbiomarkersbreast cancercirculating microRNAsqRT-PCR

Identifiers

PMID33925125
PMCPMC8124944

What OpenQuestion holds

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LicenceCC BY
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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.