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Improving the Early Detection of Lung Cancer by Combining Exosomal Analysis of Hypoxia With Standard of Care Imaging (LungExoDETECT)

13. november 2020 oppdatert av: King's College London

Lung Cancer Detection Using Blood Exosomes and HRCT- Improving the Early Detection of Lung Cancer by Combining Exosomal Analysis of Hypoxia With Standard of Care Imaging

This project aims to validate exosomal assays that are based on hypoxia detection as potential biomarkers of early detection. The study analysis will determine whether the assay can detect clinical lung cancer at the time of imaging and interval cancers during subsequent follow up. The study aims to establish preliminary sensitivity/specificity data for the "combined CT/exosomal risk stratification marker" and provide initial data on the potential association of the "combined CT/exosomal risk score" with the subsequent cancer progression and treatment response.

Studieoversikt

Status

Rekruttering

Forhold

Detaljert beskrivelse

Lung cancer is the leading cause of cancer deaths. Screening for early detection of cancer at an early stage reduces cancer deaths and therefore improves prognosis. The National Lung Screening Trial (NLST), for instance, showed that CT screening increases the early detection rate, and reduces mortality. However, drawbacks include over-diagnosis, false-positive results, psychological distress and cost. Therefore, lung cancer screening is not recommended or available within the NHS.

Diagnosis of lung cancer is currently based on a combination of scans and tissue biopsy. The invasive nature of current diagnostic procedures limits their application. To improve the efficacy and cost effectiveness of screening in early detection of lung cancer, additional, complementary and non-invasive methods, such as circulating biomarkers, should be evaluated. Our novel exosomal assay (taken from a blood sample) when combined with CT, may improve the current accuracy of lung cancer detection, especially that of a worse clinical prognosis. Improvement in the accuracy of detection and/or prediction of future disease by performing the combined imaging exosome test will cause a paradigm shift. Moving towards the identification of blood tests can help increase confidence about follow-up decisions and shorten the interval before biopsy.

This prospective cohort study will recruit patients referred to secondary care for the investigation of clinical symptoms or signs suspicious of lung cancer.

The study will run between 2020 and 2024 (two-year active recruitment and two-year follow up).

Participants will have a single assay of blood taken on one occasion in the lung clinic by trained staff.

Participants will have normal standard of care chest CT scans and this data will be used.

All participants will be actively followed for 3 months and then those with nodules, revealed by CT Scan, at 3 monthly intervals. Longitudinal clinical data will be collected on the investigations, diagnoses and outcomes of all study patients.

Data will be collected on date, type and results of imaging and biopsy investigations including nodule size and progression.

For those diagnosed with lung cancer, data on tumour size, stage, type and other markers) will be recorded together with treatment response and date of death, where this occurs within the study.

Studietype

Observasjonsmessig

Registrering (Forventet)

800

Kontakter og plasseringer

Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.

Studiekontakt

Studiesteder

      • Stevenage, Storbritannia, SG1 4AB
        • Rekruttering
        • Borthwick Research Unit, Lister Hospital
        • Ta kontakt med:
          • Carina Cruz, MRes

Deltakelseskriterier

Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.

Kvalifikasjonskriterier

Alder som er kvalifisert for studier

18 år og eldre (Voksen, Eldre voksen)

Tar imot friske frivillige

Nei

Kjønn som er kvalifisert for studier

Alle

Prøvetakingsmetode

Ikke-sannsynlighetsprøve

Studiepopulasjon

The study will include patients who have been referred to the Lung Cancer Clinic and Multi- Disciplinary Team (MDT) at The Lister, Hertford County and New QEII Hospitals for investigation of suspected lung cancer.

Beskrivelse

Inclusion Criteria:

  • Over 18 years of age
  • Suspected clinical diagnosis of lung cancer
  • Able to provide informed consent

Exclusion Criteria:

-Synchronous other cancer types.

Studieplan

Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.

Hvordan er studiet utformet?

Designdetaljer

  • Observasjonsmodeller: Kohort
  • Tidsperspektiver: Potensielle

Hva måler studien?

Primære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Describe the range of exosomal expression of P4HA1 in participants being clinically assessed for a suspected lung cancer diagnosis and compare the range of expression between the cancer and non-cancer participant population.
Tidsramme: Through study completion, an average of 2 years.
Describe the expression of hypoxia- response element (HRE) responsible protein P4HA1 utilising a hypoxia-reporting cancer exosomal assay in participants being clinically assessed for suspected lung cancer.
Through study completion, an average of 2 years.

Sekundære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Describe the range of expression of precursor microRNA in exosomes derived from participants being clinically assessed for suspected lung cancer and compare the range of expression between the cancer and non-cancer participant population.
Tidsramme: Through study completion, an average of 2 years.
Utilise exosome-based assessment of pre-microRNA processing to inform the development of a hypoxia gene signature for the early detection of lung cancer.
Through study completion, an average of 2 years.
Develop a combined risk score combining multi-dimensional parameters to discriminate between cancer cases and non-cancer cases.
Tidsramme: Through study completion, an average of 2 years.
To develop a combined risk prediction model to support the early diagnosis of lung cancer.
Through study completion, an average of 2 years.

Samarbeidspartnere og etterforskere

Det er her du vil finne personer og organisasjoner som er involvert i denne studien.

Etterforskere

  • Hovedetterforsker: Thida Win, MD, Lister Hospital

Studierekorddatoer

Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.

Studer hoveddatoer

Studiestart (Faktiske)

23. oktober 2020

Primær fullføring (Forventet)

23. oktober 2022

Studiet fullført (Forventet)

23. oktober 2024

Datoer for studieregistrering

Først innsendt

30. oktober 2020

Først innsendt som oppfylte QC-kriteriene

13. november 2020

Først lagt ut (Faktiske)

16. november 2020

Oppdateringer av studieposter

Sist oppdatering lagt ut (Faktiske)

16. november 2020

Siste oppdatering sendt inn som oppfylte QC-kriteriene

13. november 2020

Sist bekreftet

1. oktober 2020

Mer informasjon

Begreper knyttet til denne studien

Plan for individuelle deltakerdata (IPD)

Planlegger du å dele individuelle deltakerdata (IPD)?

Nei

Legemiddel- og utstyrsinformasjon, studiedokumenter

Studerer et amerikansk FDA-regulert medikamentprodukt

Nei

Studerer et amerikansk FDA-regulert enhetsprodukt

Nei

produkt produsert i og eksportert fra USA

Nei

Denne informasjonen ble hentet direkte fra nettstedet clinicaltrials.gov uten noen endringer. Hvis du har noen forespørsler om å endre, fjerne eller oppdatere studiedetaljene dine, vennligst kontakt register@clinicaltrials.gov. Så snart en endring er implementert på clinicaltrials.gov, vil denne også bli oppdatert automatisk på nettstedet vårt. .

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