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Peer-reviewedCC BY 4.0NPJ Precision Oncology

Integrative genomic and transcriptomic profiles from a prospective cervical cancer study

  • Solenn Barraud1
  • Lolita Lecompte2
  • Rebecca Loison1
  • Stacy Cyrille3
  • Emmanuelle Jeannot4,5
  • Elodie Girard2
  • Sylvain Baulande6
  • Patricia Legoix6
  • Abderaouf Hamza4
  • Fabrice Lecuru7
  • Léa Pauly7
  • Constance Lamy1
10 more authors
  • Célia Dupain1
  • Olfa Chouchane-Mlik8
  • Alexandra Oniga8
  • Michel Mittelbronn8,9,10,11,12,13
  • Christophe Le Tourneau1,3
  • Aurélien Latouche3,14
  • Nicolas Servant2
  • Ivan Bièche4,15
  • Suzy M. Scholl1
  • Maud Kamal1
15 affiliations
  1. 1Department of Drug Development and Innovation (D3i), Institut Curie, PSL Research University, Paris, France
  2. 2INSERM U1331 Computational oncology, PSL Research University, Mines Paris Tech, Paris, France
  3. 3Statistical Methods for Precision Medicine (STAMPM), INSERM, U1331, Computational oncology, PSL Research University, Saint-Cloud, France
  4. 4Department of Genetics, Institut Curie, PSL Research University, Paris, France
  5. 5Department of Pathology, Institut Curie, PSL Research University, Paris, France
  6. 6Institut Curie, Genomics of Excellence (ICGex) Platform, PSL Research University, Paris, France
  7. 7Department of Breast, Gynecological and Reconstructive Surgery, Institut Curie, Université Paris Cité, Paris, France
  8. 8National Center of Pathology (NCP), Laboratoire National de Santé (LNS), Dudelange, Luxembourg
  9. 9Luxembourg Center of Neuropathology (LCNP), Luxembourg, Luxembourg
  10. 10Department of Cancer Research (DoCR); Luxembourg Institute of Health (LIH), Luxembourg, Luxembourg
  11. 11Department of Life Sciences and Medicine (DLSM); University of Luxembourg, Esch sur Alzette, Luxembourg
  12. 12Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
  13. 13Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, Esch-sur-Alzette, Luxembourg
  14. 14Conservatoire National des Arts et Métiers, Paris, France
  15. 15INSERM U1016, Paris Cité University, Faculty of Pharmaceutical and Biological Sciences, Paris, France
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Abstract

Cervical cancer (CC) is a global public health concern, with frequent relapses and limited therapeutic options for metastatic disease. The RAIDs project, launched by the Curie Institute, aims to improve molecular characterization and risk stratification in CC. High-quality primary frozen tumor samples from 291 (WES), 302 (sWGS), and 270 (RNA-seq) patients enrolled in the Bio-RAIDs European study (NCT02428842) were analyzed alongside clinical data. Frequent alterations included PIK3CA (30%), KMT2D (11%), and KMT2C (11%). Only TERT mutations (13%) were significantly associated with poor progression-free survival (PFS). Targetable mutations in PIK3CA (30%), KRAS (4%), ERBB2 (4%), and FGFR3 fusions (5%), were found in 57% of patients. Transcriptomic analysis identified TERT and the Senescence pathway as significantly linked to PFS and to necrosis. Gene expression deconvolution showed no significant variation across immune populations. Integrative likelihood-based boosting analysis of 234 patients identified GNAQ and THUMPD1 as protective factors for PFS, while necrosis, age >50 years, advanced FIGO stage (III/IV), and HPV-negative status were associated with significantly poorer outcomes. These integrative multi-omics analyses revealed novel prognostic biomarkers in CC and identified over 50 clinically actionable mutations. Transcriptomic profiles were associated with both genetic alterations and histopathological features, suggesting new paths for precision medicine in CC.

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Cite

BibTeXRIS
BibTeX
@article{barraud2026integrative,
  title = {{Integrative genomic and transcriptomic profiles from a prospective cervical cancer study}},
  author = {Solenn Barraud and Lolita Lecompte and Rebecca Loison and Stacy Cyrille and Emmanuelle Jeannot and Elodie Girard and Sylvain Baulande and Patricia Legoix and Abderaouf Hamza and Fabrice Lecuru and Léa Pauly and Constance Lamy and Célia Dupain and Olfa Chouchane-Mlik and Alexandra Oniga and Michel Mittelbronn and Christophe Le Tourneau and Aurélien Latouche and Nicolas Servant and Ivan Bièche and Suzy M. Scholl and Maud Kamal},
  journal = {NPJ Precision Oncology},
  year = {2026},
  month = jul,
  doi = {10.1038/s41698-026-01616-6},
  url = {https://doi.org/10.1038/s41698-026-01616-6},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Integrative genomic and transcriptomic profiles from a prospective cervical cancer study
AU  - Solenn Barraud
AU  - Lolita Lecompte
AU  - Rebecca Loison
AU  - Stacy Cyrille
AU  - Emmanuelle Jeannot
AU  - Elodie Girard
AU  - Sylvain Baulande
AU  - Patricia Legoix
AU  - Abderaouf Hamza
AU  - Fabrice Lecuru
AU  - Léa Pauly
AU  - Constance Lamy
AU  - Célia Dupain
AU  - Olfa Chouchane-Mlik
AU  - Alexandra Oniga
AU  - Michel Mittelbronn
AU  - Christophe Le Tourneau
AU  - Aurélien Latouche
AU  - Nicolas Servant
AU  - Ivan Bièche
AU  - Suzy M. Scholl
AU  - Maud Kamal
PY  - 2026
DA  - 2026/07/22
JO  - NPJ Precision Oncology
DO  - 10.1038/s41698-026-01616-6
UR  - https://doi.org/10.1038/s41698-026-01616-6
AB  - Cervical cancer (CC) is a global public health concern, with frequent relapses and limited therapeutic options for metastatic disease. The RAIDs project, launched by the Curie Institute, aims to improve molecular characterization and risk stratification in CC. High-quality primary frozen tumor samples from 291 (WES), 302 (sWGS), and 270 (RNA-seq) patients enrolled in the Bio-RAIDs European study (NCT02428842) were analyzed alongside clinical data. Frequent alterations included PIK3CA (30%), KMT2D (11%), and KMT2C (11%). Only TERT mutations (13%) were significantly associated with poor progression-free survival (PFS). Targetable mutations in PIK3CA (30%), KRAS (4%), ERBB2 (4%), and FGFR3 fusions (5%), were found in 57% of patients. Transcriptomic analysis identified TERT and the Senescence pathway as significantly linked to PFS and to necrosis. Gene expression deconvolution showed no significant variation across immune populations. Integrative likelihood-based boosting analysis of 234 patients identified GNAQ and THUMPD1 as protective factors for PFS, while necrosis, age >50 years, advanced FIGO stage (III/IV), and HPV-negative status were associated with significantly poorer outcomes. These integrative multi-omics analyses revealed novel prognostic biomarkers in CC and identified over 50 clinically actionable mutations. Transcriptomic profiles were associated with both genetic alterations and histopathological features, suggesting new paths for precision medicine in CC.
SN  - 2397-768X
ER  -