| Literature DB >> 29287972 |
T Rattay1, R P Symonds2, S Shokuhi3, C J Talbot4, J B Schnur5.
Abstract
AIMS: In the field of radiogenomics, several potential predictive genetic markers have been identified that are associated with individual susceptibility to radiation toxicity. Predictive models of radiation toxicity incorporating radiogenomics and other biomarkers are being developed as part of the ongoing multicentre REQUITE trial. The purpose of this study was to explore patient attitudes towards future predictive radiogenomics testing for breast radiation toxicity. PATIENTS AND METHODS: Twenty-one semi-structured interviews were conducted with breast cancer patients taking part in the REQUITE study at one centre. We used inductive thematic analysis to generate common themes.Entities:
Keywords: breast; personalised medicine; qualitative research; radiogenomics; radiotherapy; toxicity
Mesh:
Year: 2017 PMID: 29287972 PMCID: PMC5821695 DOI: 10.1016/j.clon.2017.12.001
Source DB: PubMed Journal: Clin Oncol (R Coll Radiol) ISSN: 0936-6555 Impact factor: 4.126
Emerging themes describing patient attitudes towards a future predictive radiogenomics test for breast radiation toxicity
| Main theme | Sub-themes (description) |
|---|---|
| 1. Willingness to undergo a radiogenomics test | Additional information is good but may lead to information overload. HCPs as the trusted expert should receive and explain test result and provide patient with a management plan accordingly. |
| 2. Implications of a radiogenomics test | Preparation and planning both for patient and HCPs. Enhances anxiety or dread, particularly in the absence of symptom modifiers, or if long-term toxicity, such as scarring and chronic pain, was predicted. |
| 3. Impact on treatment decision-making | Benefit of cancer cure is prioritised over risk of treatment side-effects, particularly acute toxicity, which is usually transient. Preserving breast integrity is more important than avoiding acute side-effects by undergoing more surgery (e.g. mastectomy ± reconstruction). Individual preferences may dictate whether patients change their treatment plain to avoid radiotherapy in case of significant predicted long-term side-effects. |
HCP, healthcare professional.
Participant characteristics (n = 21)
| Number of Participants | |
|---|---|
| Age group | |
| under 50 years | 4 |
| 50–59 years | 6 |
| 60–69 years | 7 |
| over 70 years | 4 |
| Ethnicity | |
| White European | 20 |
| Indian | 1 |
| Breast cancer stage | |
| Tis (ductal carcinoma | 3 |
| T1N0 | 12 |
| T1N1 | 4 |
| pT0pN0 | 1 |
| pT1pN1 | 1 |
| Receptor status | |
| Oestrogen receptor positive | 12 |
| HER2 positive | 2 |
| Triple negative | 4 |
| Not assessed (ductal carcinoma | 3 |
| Chemotherapy | |
| None | 12 |
| Discussed but not received | 3 |
| Adjuvant | 4 |
| Neoadjuvant | 2 |
| Acute skin toxicity | |
| grade 0 | 3 |
| grade 1 (mild erythema) | 12 |
| grade 2 (moderate erythema and/or patchy moist desquamation) | 5 |
| grade 3 (confluent moist desquamation) | 1 |