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Routine Shallow-coverage Whole Genome Sequencing Testing of Liquid-based Cervical Smears for the Early Diagnosis of Ovarian Cancer (SHALLOW ROUTE)

11. september 2026 opdateret af: Institut Claudius Regaud

High-grade serous ovarian carcinoma (HGSOC) is the deadliest gynaecological tumour. The 5-year overall survival rate for advanced-stage disease is less than 30 per cent, due to diagnosis at an advanced stage.

There is currently no validated screening test for ovarian cancer. According to the literature, the current hypothesis is that HGSOCs develop primarily from the distal part of the fallopian tube, which is anatomically close to the lower genital tract. Tumour cells have even been observed in cervical smears.

Studies suggest that early diagnosis of HGSOC is possible non-invasively by detecting pathogenic variants of the TP53 gene in DNA extracted from cervical smears.

Studies suggest that early diagnosis of HGSOC is possible using non-invasive methods by detecting pathogenic variants in the TP53 gene in deoxyribonucleic acid (DNA) extracted from cervical smears.

In 2023, whole-genome sequencing (WGS) of DNA extracted from cervical smears to detect genomic instability successfully identified the presence of high-grade serous ovarian cancer up to nine years before diagnosis. This study demonstrates the feasibility of early diagnosis of ovarian cancer using genomic instability analysis via Shallow-coverage whole-genome sequencing (sWGS) on DNA obtained from cervical smears.

This study aim to confirm the feasibility of diagnosing high-grade serous ovarian carcinoma by analysing genomic instability via sWGS on DNA extracted from liquid-based cervical smears, using a homogeneous series of samples from patients treated at the Toulouse University Cancer Institute-Oncopole (IUCT-Oncopole).

Studieoversigt

Status

Rekruttering

Betingelser

Detaljeret beskrivelse

  1. Cohort constitution Patients treated at the Toulouse University Cancer Institute-Oncopole (IUCT-Oncopole) for high-grade serous ovarian cancer (HGSOC) at any stage, and for whom an initial surgical procedure (diagnostic or cytoreductive) is planned as part of their treatment pathway, may be included. For these patients, tumour and healthy tissue samples are systematically collected (taken as part of the ovarian cancer care pathway) and a liquid-based cervical smear is performed (carried out to screen for concomitant cervical cancer).

    The liquid-based cytology technique, which has replaced the cervical smear used in retrospective studies, reduces the number of unsatisfactory samples, enables the detection of human papillomavirus (HPV) and allows molecular and cytological tests to be carried out using a single sample. Any abnormalities found in this sample may be considered specific to an ovarian origin, given the exclusion of patients with other cancers of the reproductive tract (in particular TP53-mutated endometrial carcinomas). The samples will be forwarded to the pathology department via the usual procedure.

  2. Analysis of samples Tumour and healthy tissue samples are fixed in formalin and then embedded in paraffin. The diagnosis is made on the tumour sample using standard staining and immunohistochemical analysis. An assessment of the quantity of tumour material (cell density and tumour area) is carried out. Following extraction, the DNA is quantified and characterised by the molecular biology platform using the an assay kit from Thermo Fisher Scientific. Shallow-coverage whole-genome sequencing (sWGS) is routinely performed on the tumour sample with 2X coverage on platform to assess homologous recombination deficiency (HRD) status, thereby determining eligibility for PARP enzyme inhibitors prescription.

    The same procedure is used for healthy tissue as part of the study. The liquid-based cervical sample is processed according to the routine protocol as part of cervical cancer screening. The residual sample is centrifuged and DNA is extracted from the pellet to perform the sWGS technique, which is comparable to that carried out on tumour tissue.

    The residual samples - the block of healthy tissue, DNA extracted from the tumour tissue and cervical fluid - are stored.

  3. Implementation and analysis using bioinformatics tools The sequences generated will be aligned to the GRCh38 reference genome using the bwa mem software, and duplicates will be removed using picard-tools. The open-source CPA8 pipelines and the adaptation of the genomic index (GI) for HGSOC published by the ONCOSARC team will be implemented in the available local environment. The comparative analysis will be based on sampling sites and patient characteristics (e.g. FIGO (International Federation of Gynaecology and Obstetrics) stage).

The analysis will be carried out in collaboration with the bioinformatics team in the pathology department.

Undersøgelsestype

Observationel

Tilmelding (Anslået)

50

Kontakter og lokationer

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Studiekontakt

Undersøgelse Kontakt Backup

Studiesteder

Deltagelseskriterier

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Berettigelseskriterier

Aldre berettiget til at studere

  • Voksen
  • Ældre voksen

Tager imod sunde frivillige

Ingen

Prøveudtagningsmetode

Ikke-sandsynlighedsprøve

Studiebefolkning

Women with high grade serous ovarian carcinoma treated at Toulouse university of cancer-Oncopole.

Beskrivelse

Inclusion Criteria:

Patients :

  • With high-grade serous ovarian carcinoma treated at the IUCT-O
  • For whom initial surgery (diagnostic or cytoreductive) is planned

Exclusion Criteria:

Patients with :

  • Concurrent endometrial or cervical cancer
  • History of cancer within the last two years
  • History of gynaecological cancer
  • History of salpingectomy, hysterectomy or trachelectomy (removal of the cervix)

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Proportion of patients with a positive CPA test on tumour and cervical samples measure
Tidsramme: For each patient at baseline

The primary endpoint is the proportion of patients with a positive CPA test on tumour and cervical samples. This is defined as the ratio of the number of patients with a positive test on tumour and cervical samples to the total number of evaluable patients (i.e. those with interpretable test results).

The tissue analysis will serve as a negative control for each patient.

For each patient at baseline

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Clinical ans pathological data description
Tidsramme: At baseline
The various clinical and pathological data (age, personal and family history of cancer, histological type, tumour cell density and surface area, HRD status, BRCA status, and allelic frequency of the TP53 mutation) will be described using standard descriptive statistics based on the results of tumour and cervical biopsies.
At baseline

Samarbejdspartnere og efterforskere

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Sponsor

Samarbejdspartnere

Efterforskere

  • Studieleder: Giulio Ricotta, Dr, Institut Claudius Regaud

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Faktiske)

5. januar 2025

Primær færdiggørelse (Anslået)

4. januar 2027

Studieafslutning (Anslået)

4. januar 2027

Datoer for studieregistrering

Først indsendt

8. september 2026

Først indsendt, der opfyldte QC-kriterier

11. september 2026

Først opslået (Faktiske)

16. september 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

16. september 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

11. september 2026

Sidst verificeret

1. september 2026

Mere information

Begreber relateret til denne undersøgelse

Andre undersøgelses-id-numre

  • 24RCGENF02

Plan for individuelle deltagerdata (IPD)

Planlægger du at dele individuelle deltagerdata (IPD)?

INGEN

IPD-planbeskrivelse

There is not a plan to make IPD available

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