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

Cancer detection Clinical follow-up Non-invasive prenatal testing

Journal

EClinicalMedicine
ISSN: 2589-5370
Titre abrégé: EClinicalMedicine
Pays: England
ID NLM: 101733727

Informations de publication

Date de publication:
May 2021
Historique:
received: 24 11 2020
revised: 19 03 2021
accepted: 01 04 2021
entrez: 26 5 2021
pubmed: 27 5 2021
medline: 27 5 2021
Statut: epublish

Résumé

Implausible 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. Using 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. Fifteen 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. The 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. This work was supported by Research Foundation Flanders and KU Leuven funding.

Sections du résumé

BACKGROUND BACKGROUND
Implausible 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.
METHODS METHODS
Using 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.
FINDINGS RESULTS
Fifteen 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.
INTERPRETATION CONCLUSIONS
The 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.
FUNDING BACKGROUND
This work was supported by Research Foundation Flanders and KU Leuven funding.

Identifiants

pubmed: 34036251
doi: 10.1016/j.eclinm.2021.100856
pii: S2589-5370(21)00136-X
pmc: PMC8138727
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100856

Informations de copyright

© 2021 The Author(s).

Déclaration de conflit d'intérêts

EL reports personal fees from Springworks Therapeutics outside the submitted work. All other authors declare no competing interests.

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Auteurs

Liesbeth Lenaerts (L)

Department of Oncology, KU Leuven, Herestraat 49, Leuven, Belgium.

Nathalie Brison (N)

Center for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.

Charlotte Maggen (C)

Department of Oncology, KU Leuven, Herestraat 49, Leuven, Belgium.

Leen Vancoillie (L)

Center for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.

Huiwen Che (H)

Department of Human Genetics, KU Leuven, Herestraat 49, Leuven, Belgium.

Peter Vandenberghe (P)

Department of Human Genetics, KU Leuven, Herestraat 49, Leuven, Belgium.
Hematology, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.

Daan Dierickx (D)

Department of Oncology, KU Leuven, Herestraat 49, Leuven, Belgium.
Hematology, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.

Lucienne Michaux (L)

Center for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Department of Human Genetics, KU Leuven, Herestraat 49, Leuven, Belgium.

Barbara Dewaele (B)

Center for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.

Patrick Neven (P)

Department of Oncology, KU Leuven, Herestraat 49, Leuven, Belgium.
Gynaecology and Obstetrics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.

Giuseppe Floris (G)

Pathology, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Department of Imaging & Pathology, KU Leuven, Herestraat 49, Leuven, Belgium.

Thomas Tousseyn (T)

Pathology, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Department of Imaging & Pathology, KU Leuven, Herestraat 49, Leuven, Belgium.

Lore Lannoo (L)

Gynaecology and Obstetrics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Department of Department of Development and Regeneration, KU Leuven, Herestraat 49, Leuven, Belgium.

Tatjana Jatsenko (T)

Department of Human Genetics, KU Leuven, Herestraat 49, Leuven, Belgium.

Isabelle Vanden Bempt (IV)

Center for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Department of Human Genetics, KU Leuven, Herestraat 49, Leuven, Belgium.

Kristel Van Calsteren (K)

Gynaecology and Obstetrics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Department of Department of Development and Regeneration, KU Leuven, Herestraat 49, Leuven, Belgium.

Vincent Vandecaveye (V)

Radiology, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Department of Imaging & Pathology, KU Leuven, Herestraat 49, Leuven, Belgium.

Luc Dehaspe (L)

Genomics Core facility, KU Leuven, Herestraat 49, Leuven, Belgium.

Koenraad Devriendt (K)

Center for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Department of Human Genetics, KU Leuven, Herestraat 49, Leuven, Belgium.

Eric Legius (E)

Center for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Department of Human Genetics, KU Leuven, Herestraat 49, Leuven, Belgium.

Kris Van Den Bogaert (KVD)

Center for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Department of Human Genetics, KU Leuven, Herestraat 49, Leuven, Belgium.

Joris Robert Vermeesch (JR)

Center for Human Genetics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Department of Human Genetics, KU Leuven, Herestraat 49, Leuven, Belgium.
Genomics Core facility, KU Leuven, Herestraat 49, Leuven, Belgium.

Frédéric Amant (F)

Department of Oncology, KU Leuven, Herestraat 49, Leuven, Belgium.
Gynaecology and Obstetrics, University Hospitals Leuven, Herestraat 49, Leuven, Belgium.
Academic Medical Centers Amsterdam-University of Amsterdam and The Netherlands Cancer Institute-Antoni van Leeuwenhoek, Amsterdam, Netherlands.

Classifications MeSH