Actively Recruiting

Age: 18Years - 80Years
FEMALE
NCT05030805

Transcriptional Map of Ovarian Cancer at the Single Cell Level

Led by University Hospital, Strasbourg, France · Updated on 2022-08-22

50

Participants Needed

1

Research Sites

413 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

In 2020, epithelial ovarian cancer (EOC) accounts for 313,959 new cases and 207,252 deaths worldwide. The standardized 5-year net survival of a woman with EOC is 44% for cases diagnosed between 2005-2010. This is because 2 out of 3 cancers are found at an advanced stage with invasion beyond the ovaries to the entire peritoneum or distant metastasis. Treatment of EOC is currently based on platinum-based chemotherapy combined with paclitaxel and maximal cytoreduction surgery. Newer combination therapies may be introduced such as bevacizumab and oral poly ADP-ribose polymerase (PARP) inhibitors. Despite the combination of different therapeutic modes, the 5-year survival has not progressed much since the 1980s. The development of new and more effective therapies is essential but requires a better understanding of cancer heterogeneity and the identification of new therapeutic targets. Cancer heterogeneity results from genetic and transcriptional variations between tumors but also between cells of the same tumor. This heterogeneity has an impact on the development of the tumor and its resistance to treatment. One of the methods to study this heterogeneity is single cell RNA sequencing (scRNAseq) which allows to analyze individually and simultaneously the gene expression (transcriptomics) of thousands of cells. Studies on EOC using this technique have already been performed but they were based on small numbers with very different tumor types and stages. The objective of this protocol is to characterize by scRNA-seq the architecture and microenvironment of primary and secondary tumors of 50 patients with EOC at the single cell level and to correlate the data with the clinical characteristics of the patients, especially during recurrence and/or chemoresistance, in order to identify the molecular parameters allowing tumor cells to acquire survival, invasion, metastasis and chemoresistance capacity as well as to carry out the inventory of cell populations within the different sites of EOC. We will also analyze the interaction between tumor cells and the microenvironment, by studying on the one hand the involvement of immune cells in the antitumor response and on the other hand how tumor cells modulate the microenvironment to make it permissive to the development of the EOC. We will compare the data obtained for each patient with healthy tissue (from the same patient) in order to determine the common and specific tumor molecular signatures in EOC, the latter point allowing us to evaluate the intra and inter-patient variability. Similarly, the comparison of the transcriptomic profile of the same tumor subtype in several patients will allow us to determine if certain transcriptional perturbations are ubiquitous. The identification of these common pathways would allow the discovery of potential therapeutic targets. Furthermore, the molecular processes leading to chemoresistance are still unknown. We will investigate whether known chemoresistance markers are present in tumor cells from primary sites and whether their presence correlates with the response to treatment in patients. We will also study the molecular mechanisms of resistance to treatment in our patients which will ultimately allow the development of new therapies. We will also try to find new prognostic markers which is made possible by the clinical follow-up of the patients. The existence of this heterogeneity will be confirmed by complementary genetic analyses of the genome and exome (search for mutations, variation in gene copy number or chromosome copy number, epigenetic effects) by different molecular biology techniques (qPCR, NGS sequencing) and the markers that will be identified can be confirmed by histochemical analysis.

CONDITIONS

Official Title

Transcriptional Map of Ovarian Cancer at the Single Cell Level

Who Can Participate

Age: 18Years - 80Years
FEMALE

Eligibility Criteria

Eligible

You may qualify if you...

  • Women aged 18 years or older
  • Confirmed ovarian cancer diagnosis by anatomopathological analysis
  • Undergoing surgery in the gynecology department of Strasbourg University Hospital between 2021 and 2024
  • Provided informed consent to participate and to collection of biological samples
Not Eligible

You will not qualify if you...

  • Chronic inflammatory diseases such as lupus, rheumatoid arthritis, or inflammatory bowel disease
  • Previous immunotherapy treatment including anti-PDL1
  • History of appendix removal for another reason
  • Unable to provide informed consent due to emergency situation, language barriers, cognitive issues, or similar
  • Under legal protection, tutorship, or curatorship
  • Pregnant or breastfeeding
  • Deprived of liberty by judicial or administrative decision
  • Under forced psychiatric care

AI-Screening

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Trial Site Locations

Total: 1 location

1

Service Gynécologie Obstétrique, Hôpital de Hautepierre

Strasbourg, Alsace, France, 67000

Actively Recruiting

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Research Team

C

Cherif Akladios, MD

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

0

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Transcriptional Map of Ovarian Cancer at the Single Cell Level | DecenTrialz