Evidence map›Paper›PMID 34036251›Full record

ArticleEClinicalMedicine2021

Comprehensive genome-wide analysis of routine non-invasive test data allows cancer prediction: A single-center retrospective analysis of over 85,000 pregnancies.

Liesbeth Lenaerts, Nathalie Brison, Charlotte Maggen, Leen Vancoillie, Huiwen Che, Peter Vandenberghe, Daan Dierickx, Lucienne Michaux, Barbara Dewaele, Patrick Neven and 13 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
21.7field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 80 citations in OpenAlex.

  1. Trial
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  5. Xq24/HemaSphere · 2025
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  7. Article
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  9. Observational
  10. Article
  11. Review
  12. Article
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  14. Challenges and opportunities for proton therapy during pregnancy.Acta obstetricia et gynecologica Scandinavica · 2024
    Article
  15. Approaching cancer during pregnancy.Nature reviews. Cancer · 2024
    Article
  16. Non-invasive prenatal testing: when results suggests maternal cancer.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2023
    Article
  17. Article
  18. Article
  19. Review
  20. Dying To Find Out: The Cost of Time at the Dawn of the Multicancer Early Detection Era.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    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

23 authors at 2 institutions in 2 countries.

Liesbeth LenaertsDepartment of Oncology, KU Leuven, Herestraat 49, Leuven, Belgium.
Nathalie BrisonCenter for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Charlotte MaggenDepartment of Oncology, KU Leuven, Herestraat 49, Leuven, Belgium.
Leen VancoillieCenter for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Huiwen CheDepartment of Human Genetics, KU Leuven, Herestraat 49, Leuven, Belgium.
Peter VandenbergheDepartment of Human Genetics, KU Leuven, Herestraat 49, Leuven, Belgium.
Daan DierickxDepartment of Oncology, KU Leuven, Herestraat 49, Leuven, Belgium.
Lucienne MichauxCenter for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Barbara DewaeleCenter for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Patrick NevenDepartment of Oncology, KU Leuven, Herestraat 49, Leuven, Belgium.
Giuseppe FlorisPathology, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Thomas TousseynPathology, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Lore LannooGynaecology and Obstetrics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Tatjana JatsenkoDepartment of Human Genetics, KU Leuven, Herestraat 49, Leuven, Belgium.
Isabelle Vanden BemptCenter for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Kristel Van CalsterenGynaecology and Obstetrics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Vincent VandecaveyeRadiology, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Luc DehaspeGenomics Core facility, KU Leuven, Herestraat 49, Leuven, Belgium.
Koenraad DevriendtCenter for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Eric LegiusCenter for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Kris Van Den BogaertCenter for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Joris Robert VermeeschCenter for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Frédéric AmantDepartment of Oncology, KU Leuven, Herestraat 49, Leuven, Belgium.
KU Leuven · BEAmsterdam UMC Location University of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImplausible false positive results in non-invasive prenatal testing (NIPT) have been occasionally associated with the detection of occult maternal malignancies. Hence, there is a need for approaches allowing accurate prediction of whether the NIPT result is pointing to an underlying malignancy, as well as for organized programs ensuring efficient downstream clinical management of these cases.

methodsUsing a data set of 88,294 NIPT performed at University Hospital Leuven (Belgium) between November 2013 and March 2020, we retrospectively evaluated the positive predictive value (PPV) of our NIPT approach for cancer detection. In this approach, whole-genome cell-free DNA (cfDNA) data from NIPT were scrutinized for the presence of (sub)chromosomal copy number alterations (CNAs) predictive for a malignancy, using an unbiased NIPT analysis pipeline coined GIPSeq. For suspected cases, the presence of a maternal cancer was evaluated via subsequent multidisciplinary clinical follow-up examinations. The cancer-specificity of the identified CNAs in cfDNA was assessed through genetic analyses of a tumor biopsy.

findingsFifteen women without a cancer history were identified with a GIPSeq result suggestive of a malignant process. Their cfDNA profiles showed either genome-wide aberrations or a single trisomy 8. Upon clinical examinations, a solid or hematological cancer was identified in 4 and 7 cases, respectively. Three women were identified as having a clonal mosaicism. For one case no underlying condition was found. These numbers add to a PPV of 73%. Based on this experience, we presented a multidisciplinary care path for efficient clinical management of these cases.

interpretationThe presented approach for analysing NIPT results has a high PPV, yet unknown sensitivity, for detecting asymptomatic malignancies upon routine NIPT. Given the complexity of diagnosing a pregnant woman with cancer, clinical follow-up should occur in a well-designed multidisciplinary setting, such as via the care model that we presented here.

fundingThis work was supported by Research Foundation Flanders and KU Leuven funding.

Indexed as

Cancer detectionClinical follow-upNon-invasive prenatal testing

Identifiers

PMID34036251
PMCPMC8138727
OpenAlexW3163176492

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.