Author

M.-H. Stern

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 4

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Assay:imaging· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. Vincent-Salomon· 3 shared T. Popova· 3 shared F.-c. Bidard· 2 shared G. Bataillon· 2 shared A. Eeckhoutte· 1 shared A. Herbette· 1 shared A. Latouche· 1 shared A. Nicolas· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersCancer Biology

A. Vincent-Salomon

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Author profile →

4 papers

Recent·Most cited

Optical Genome Mapping for detecting Homologous Recombination Deficiency (HRD) in human breast and ovarian cancers

S. Vanhuele, Y. Kirova, A.-S. Hamy-Petit, A. Rapinat, D. Gentien, C. Callens, M.-C. Villy, F. Reyal, A. Vincent-Salomon, A. Eeckhoutte, M. Rodrigues, M.-H. Stern, T. Popova

This study uses Optical Genome Mapping to detect HRD in breast and ovarian cancers by analyzing structural variants, finding isolated translocations as a reliable biomarker.

bioRxiv · Dec 23, 2022 · PreprintCancer Biology

Low centrosome numbers correlate with higher aggressivity in ovarian cancer

J.-P. Morretton, A. Simon, A. Herbette, J. Barbazan, C. Perez-Gonzalez, C. Cosson, B. Mboup, A. Latouche, T. Popova, Y. Kieffer, P. Gestraud, G. Bataillon, V. Becette, D. Meseure, A. Nicolas, , R. Basto

The paper analyzes centrosome numbers in ovarian cancers and finds that low centrosome numbers correlate with poor patient survival and mesenchymal subgroup enrichment.

bioRxiv · Jan 4, 2022 · PreprintCancer Biology

Deep Learning identifies new morphological patterns of Homologous Recombination Deficiency in luminal breast cancers from whole slide images.

T. Lazard, G. Bataillon, P. Naylor, T. Popova, F.-c. Bidard, D. Stoppa-Lyonnet, M.-H. Stern, E. Decenciere, T. Walter, A. Salomon

This study uses deep learning to identify new morphological patterns of HRD in luminal breast cancers from whole slide images, achieving high accuracy and enabling new hypotheses on phenotypic impacts.

bioRxiv · Sep 10, 2021Cancer Biology

A single droplet digital PCR for ESR1 activating mutations detection in plasma

E. Jeannot, L. Darrigues, M. Michel, M.-H. Stern, J.-Y. Pierga, A. Rampanou, S. Melaabi, C. Benoist, I. Bieche, A. Vincent-Salomon, R. El Ayachy, A. Noret, N. Epaillard, L. Cabel, F.-C. Bidard, C. Proudhon

This paper develops a multiplex droplet digital PCR assay for detecting ESR1 activating mutations in plasma, showing high sensitivity and concordance with NGS data.

bioRxiv · Jan 8, 2019Cancer Biology