Author

M. Cereda

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

Biology Disciplines

Click to filter author papers

Cancer Biology· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

J. G. Foster· 2 shared P. Rajan· 2 shared A. Lauria· 1 shared C. A. Anene· 1 shared C. Anene· 1 shared C. Bessant· 1 shared C. Philippe· 1 shared C. Yau· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersCancer Biology

J. G. Foster

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

HNRNPA2B1 controls an unfolded protein response-related prognostic gene signature in prostate cancer

J. G. Foster, E. E. M. Gea, M. A. Labiba, C. A. Anene, J. Stockley, C. Philippe, M. Cereda, K. Rouault-Pierre, H. Y. Leung, C. Bessant, P. Rajan

This study identifies HNRNPA2B1 as a driver of an unfolded protein response-related gene signature linked to poor prognosis in prostate cancer.

bioRxiv · Jun 21, 2022 · PreprintCancer Biology

Dysregulation of splicing-related proteins in prostate cancer is controlled by FOXA1

J. G. Foster, R. Arkell, M. Del Giudice, C. Anene, A. Lauria, J. D. G. Kelly, N. R. Lemoine, S. Oliviero, M. Cereda, P. Rajan

This study identifies FOXA1 as a key regulator of splicing-related proteins in prostate cancer, linking its dysregulation to poor patient outcomes and suggesting therapeutic targeting of splicing pathways.

bioRxiv · Dec 31, 2018 · PreprintCancer Biology

Patient-specific detection of cancer genes reveals recurrently perturbed processes in esophageal adenocarcinoma

T. Mourikis, L. Benedetti, E. Foxall, D. Temelkovski, J. Nulsen, J. Perner, M. Cereda, J. Lagergren, M. Howell, C. Yau, R. Fitzgerald, P. Scaffidi, F. D. Ciccarelli

This study identifies patient-specific cancer genes in esophageal adenocarcinoma using machine learning, revealing recurrent process perturbations that suggest therapeutic targets.

bioRxiv · Oct 17, 2018 · PreprintCancer Biology