Stage M2 - Identification of mechanisms of dedifferentiation of sarcomatoid urothelial carcinoma

SFBI; Paris; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading biomedical research institute in Paris is offering an internship for a Master's student to analyze multi-omics data related to sarcomatoid urothelial carcinoma. Candidates should have experience in bioinformatics and programming with R and Python. You'll work with a multidisciplinary team to validate potential therapeutic targets. This is a great opportunity for students passionate about cancer research.

Qualifications

• Experience with multi-omics data analysis.
• Ability to analyze transcriptomic data.
• Familiarity with mouse models in cancer research.

Responsabilités

• Analyze multi-omics data using bioinformatic tools.
• Contribute to validation of therapeutic targets.
• Collaborate with a team of bioinformaticians and medical doctors.

Connaissances

Bioinformatics

R

Python

Formation

Master's degree (Bac+5)

Description du poste

Stage M2 - Identification of mechanisms of dedifferentiation of sarcomatoid urothelial carcinoma

Stage·Stage M2·6 moisBac+5 / MasterInstitut Curie·Paris 05 (France)

RNA-seq spatial transcriptomics bladder cancer

Description

Sarcomatoid urothelial carcinoma is a rare and aggressive morphological subtype of bladder cancer. Through the analysis of a mouse model and public transcriptomic datasets of human tumors, we have previously shown that this subtype shows FGFR1 pathway activation and features of epithelial-to-mesenchymal transition (Fontugne et al. J Pathol 2023 PMID: 36695554). Bladder cancer is characterized by morphological heterogeneity. It has been suggested that sarcomatoid tumors arise from the progression and dedifferentiation of previous or adjacent non-sarcomatoid component.
The goal of this project is to characterize the mechanisms of sarcomatoid urothelial carcinoma dedifferentiation through a multisampling and comparative multi-omics approach and further in situ and functional validations.
We have constituted a cohort of 45 patients with sarcomatoid urothelial carcinoma for which transcriptomic profiling (bulk 3’ RNA-seq) from paired sarcomatoid and non-sarcomatoid component samples is now available. Spatial transcriptomics of a mouse model and human tumors with both sarcomatoid and non-sarcomatoid areas will also be available. Whole exome sequencing and methylation profiles of both sarcomatoid and non-sarcomatoid components may be obtained.
The comparative analyses between sarcomatoid and matched non-sarcomatoid samples will further our understanding of sarcomatoid tumor carcinogenesis and identify potential new therapeutic targets for this aggressive disease.
The Master 2 student will analyze this multi-omics data using existing bioinformatic tools (R, Python) and contribute to the validation of the new potential therapeutic targets. The project will be carried out within the Molecular Oncology team at Institut Curie in Paris, surrounded by bioinformaticians, experimental biologists and medical doctors.

Candidature

Contacts

Yves Allory
[e-mail]