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Exploring the Link Between Cancer Genetics and PPSP

Exploring the Link Between Cancer Genetics and Persistent Post-surgical Pain (PPSP) Following Breast Cancer Treatment

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04007861
Enrollment
104
Registered
2019-07-05
Start date
2019-07-31
Completion date
2019-12-31
Last updated
2019-07-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast Cancer, Cancer-related Pain, Chronic Post Cancer Surgery Pain

Brief summary

Pain is common in cancer, affecting between 40 and 60% of patients depending on tumour type and stage of disease, and represents a major area of unmet need in cancer survivors. Despite advances in treatment, there has been no significant reduction in those who experience pain. Breast cancer is common. It represents 10% of newly diagnosed cancers globally and is often associated with pain. Exact physiological mechanisms for cancer pain are not yet fully established. There is a complex relationship between a malignant lesion and its micro-environment; a tumour does not exist in isolation but has a dynamic relationship with host cells. There is a growing interest in delineating the relationship between tumour manifestations and pain. By retrospectively identifying individuals who have been referred to specialist pain clinics at a cancer centre and matching them to controls, the investigators can identify two groups of patients (those who experienced significant problems with pain and those who did not). Accessing paraffin-embedded tissue samples from those that have had surgical resections, will allow the investigators to compare tissue samples, in particular the metabolic and genetic differences, between the two groups. No new tissue samples will be required for this study. Pain is a major area of unmet need in cancer survivors. The investigators propose that this project would provide valuable knowledge and pilot data regarding the link between pain and tumour genetics. It has the potential to identify tumour genes or mutations that are associated with greater incidences of pain and ultimately potentially guide targeted interventions to help reduce the frequency and impact of pain on patients living with and beyond cancer.

Detailed description

This study will be a retrospective, case-control study. There will be two groups of patients identified retrospectively: The first group will be patients who have been referred to the pain management team for persistent-post surgical pain following breast cancer treatment. The second group, will consist of patients who have been matched for age, procedure and time-lapsed since operation. These patients will not have persistent post-surgical pain. Archived paraffin-embedded tissue samples, that have previously been taken from these patients, will be required. Samples accessed will be from patients who have previously provided consent for their samples to be used for research purposes. Once appropriate samples have been identified by the tissue banks, all data will be pseudonymised. This will include details that patients have consented to providing for research purposes via the Pain Management Database, which has Trust (CCR 442) and Research Ethics Committee (REC 16/LO/1989) approval. Laboratory studies will then be conducted to A) investigate the underlying variations of the PIK3CA gene of tumours within the two cohorts of patients, B) investigate other genetic variations between these two groups and C) establish the key genetic and signalling pathway alterations between these two groups. The methods by which these investigations will be conducted will be by performing PIK3CA genomics, genetic profiling, next generation sequencing and finally immunohistochemistry for activation of signalling pathways. This study will analyse archived paraffin embedded tissue samples in a laboratory only. The anticipated time-scale for this project would be approximately one year.

Interventions

None listed

Sponsors

Institute of Cancer Research, United Kingdom
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients receiving treatment at the Royal Marsden Hospital. * Patients with a diagnosis of primary breast cancer. * Patients who have had surgical resection of their breast tumour. * Paraffin-embedded tissue samples available from Royal Marsden Tissue Banks.

Exclusion criteria

* Under 18 years of age. * Lack of adequate tissue sample available from the Tissue Bank.

Design outcomes

Primary

MeasureTime frameDescription
The difference in the proportion of mutations of the PIK3CA gene.Within 6-8monthsPIK3CA genomics will result in a binary measure (either wild-type or mutant). The difference in proportion of the PIK3CA gene mutation in those with persistent post-surgical pain compared with those without persistent post-surgical pain will be the primary outcome measure.

Secondary

MeasureTime frameDescription
Frequency of changes to DNA copy number (either amplification/gain or loss) in those with pain compared with those without pain.Within 6-8monthsDNA copy number can either be unchanged or changed. Changes are described as either 'amplification/gain' or 'loss'. Data will be analysed as binary data (either no change or change).
Proportion of individual gene mutations in pain group compared with the no pain group.Within 6-8monthsDNA analysis will determine the presence or absence of other gene mutations (binary outcome).
Difference in mean gene expression in those with pain compared with those without pain.Within 6-8monthsExploring the difference in gene expression between the two groups.
Proportion of individual DNA copy number changes (either amplification/gain or loss) in those with pain compared with those without pain.Within 6-8monthsDNA copy number can either be unchanged or changed. Changes are described as either 'amplification/gain' or 'loss'. Data will be analysed as binary data (either no change or change).
Difference in median of magnitude of activation status of signalling pathways between those with pain and those without pain.Within 6-8monthsComparison the activation status of signalling pathways between the two groups. The magnitude of activation status will be reported as a percentage.

Contacts

Primary ContactDavid Magee, BMBS
davidmagee@nhs.net020 7808 2771
Backup ContactMatt Brown, MBBS
matthew.brown@rmh.nhs.uk020 7808 2771

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026