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Molecular Characterisation of Appendiceal Cancer

Recruiting
Conditions
Appendiceal Cancer
Interventions
Other: Retrospective tissue sample analysis
Registration Number
NCT05364788
Lead Sponsor
The Christie NHS Foundation Trust
Brief Summary

Patients ≥ 18 years old who have been diagnosed with appendiceal cancer with peritoneal metastases, have had cytoreductive surgery, have availability of archival tumour tissue and have consented to our institutional biobank program or have a waiver of consent for deceased patients who have not had the opportunity to provide biobank consent (requested at the time of ethics review). Descriptive analysis of the proportion of genetic mutations identified in appendiceal cancers. This is given by the percentage of pathogenic mutations in the peritoneal metastasis compared to the primary tumour.

Detailed Description

Appendiceal cancer is a rare and understudied cancer that frequently leads to metastatic disease with production of copious gelatinous collections in the abdomen, causing severe illness and poor survival. The only definitive treatment available is a complex and aggressive surgical procedure involving removal of organs and the internal lining of the abdomen. There is an urgent need to define clinical predictors of survival, the role of chemotherapy and to develop new treatments.

The genetics of appendiceal cancer has been reported in small cohorts of patients but there has been limited research on how mutations affect treatments or survival. There is no information on how and why primary appendiceal cancers often spread just to the lining of the abdomen. Understanding how genetic mutations evolve in the tumours are important for working out treatments to prevent the spread of cancer. Current high throughput laboratory techniques for analysing the genetic makeup of appendiceal cancer has the power to identify mutation patterns than might predict for treatments and survival outcomes.

This study proposes completing tumour genetic studies on archived cancer tissue removed routinely from patients who previously have had surgery for their appendiceal tumour. The results of genetic tests can then be compared to clinical characteristics of the patients such as survival time and treatments received. Genes in primary appendix tumours can be compared to those in tumours that have spread into the lining of the abdomen to describe what changes if any occur during the spreading process.

This study will help make progress towards better and personalised treatment options, identifying predictors of treatment success and long-term survival. Improved treatments and better selection of patients may ultimately improve quality of life and help patients live longer.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
100
Inclusion Criteria

Participants are eligible to be included in the study only if all of the following criteria apply:

  1. Patients ≥ 18 years old who have been diagnosed with appendiceal cancer with peritoneal metastases,
  2. have had cytoreductive surgery
  3. have availability of archival tumour tissue
Exclusion Criteria
  • None

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
All participantsRetrospective tissue sample analysisAppendiceal Cancer Patients
Primary Outcome Measures
NameTimeMethod
Characterise the genes of appendiceal cancer.2 years

Descriptive analysis of the proportion of genetic mutations identified in appendiceal cancers. This is given by the percentage of pathogenic mutations in the peritoneal metastasis compared to the primary tumour.

Secondary Outcome Measures
NameTimeMethod
Descriptive analysis in proportions2 years

The descriptive difference in proportion of genetic mutations identified in primary appendiceal tumours compared to mutations in peritoneal metastases. Association between molecular subtypes and categorical variables were measured by Fisher's exact or X2 tests. Associations with continuous variables will be evaluated by Kruskal-Wallis tests or ANOVA. Kaplan-Meier methods will calculate survival outcomes.

Trial Locations

Locations (1)

The Christie NHS Foundation Trust

🇬🇧

Manchester, United Kingdom

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