Evidence map›Paper›PMID 42136844›Full record

ArticleFrontiers in medicine2026

NIPT detects occult maternal malignancies via cfDNA aberration profiling: a case report.

Liqiong Wu, Xiaohua Wang, Jin An, Yaxian Liu, Ruifang Bai, Jie Wang, Wenbin Zhang

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Liqiong WuDepartment of Genetics, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Xiaohua WangDepartment of Genetics, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Jin AnDepartment of Genetics, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Yaxian LiuDepartment of Genetics, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Ruifang BaiDepartment of Genetics, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Jie WangDepartment of Genetics, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Wenbin ZhangDepartment of Genetics, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-Invasive Prenatal Testing (NIPT), primarily used for fetal aneuploidy screening, can incidentally detect occult maternal malignancies through abnormal genomic patterns such as multiple chromosomal aneuploidies (MCAs) or copy number variations (CNVs). These findings, often discordant with fetal results, have led to diagnoses of various cancers, including breast cancer, lymphoma, and ovarian cancer. Although promising for early detection, this application is currently limited by low specificity for early-stage tumors and the absence of standardized clinical protocols. Multidisciplinary collaboration and the development of integrated predictive models combining cell-free DNA (cfDNA) analysis with serum biomarkers are essential to improve diagnostic accuracy and guide appropriate maternal follow-up.

Indexed as

cell-free DNA (cfDNA)copy number variation (CNV)hepatocellular carcinomamaternal malignancyNon-Invasive Prenatal Testing (NIPT)

Identifiers

PMID42136844
PMCPMC13168055

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