Abstract 1784
Background
Radiationtherapy (RT) provide pain reduction in about 60% of patients with painful bone metastases. Studies have identified demographic and clinical characteristics to predict RT response, but no model is clinical useful. Tumor characteristics and inflammation can influence cancer induced bone pain, but the association with RT response are not studied. We test if tumor characteristics and the inflammation marker CRP improve prediction of RT response.
Methods
We included adult patients receiving RT for painful bone metastases in a multicenter, multinational longitudinal observational study. The primary endpoint was analgesic response within 8 weeks after RT defined according to current guidelines. Seventeen independent potential predictor variables assessed at baseline included patient demographics, RT administration, pain characteristics and treatment, cancer diagnosis, tumor characteristics, depression and inflammation (CRP). Multivariate logistic regression analysis with multiple imputation of missing data were applied to identify predictors of RT response. Results are reported as odds ratios (OR) and 95% confidence intervals (CI).
Results
565 eligible patients were enrolled, 424 patients (75%) had complete data on the variables of interest and multiple imputation allowed the final regression models to be carried out on 513 patients (91%). 232 patients (41%, CI 37%-45%) responded to RT. Higher Karnofsky performance status (OR 1.45, CI 1.21-1.73), breast cancer (OR 2.61, CI 1.20-5.69) and prostate cancer (OR 2.64, CI 1.24-5.63) (compared to GI cancer), presence of soft tissue expansion (OR 1.78, CI 1.13-2.81) and higher maximum pain intensity at the radiated site (OR 1.1, CI 1.00-1.21) were significant predictors of positive RT response, while the use of steroids was a negative predictor (OR 0.62, CI 0.42-0.93). The discriminative ability of the model was moderate, with C-statistics 0.70.
Conclusions
This study supports previous findings that higher performance status, cancer diagnosis and higher baseline pain intensity predict analgesic RT response. The study presents new data showing that presence of soft tissue expansion predicts RT response and that CRP is not significantly associated with analgesic RT response.
Clinical trial identification
NCT02107664 (Date of registration April 8, 2014).
Editorial acknowledgement
Legal entity responsible for the study
Pål Klepstad.
Funding
The European Palliative Care Research Centre (PRC).
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
5011 - LCSCAF1 maintains cancer stem-like traits by stabilizing c-Myc protein and promotes metastasis and recurrence in lung cancer
Presenter: Tao Guo
Session: Poster Display session 1
Resources:
Abstract
4955 - XAF1 Enhances Temozolomide Induced Autophagic Cell Death through AMPK signaling pathway
Presenter: Mingoo Lee
Session: Poster Display session 1
Resources:
Abstract
5616 - The effect of cortisol on methylation patterns in breast cancer cell lines
Presenter: Haya Intabli
Session: Poster Display session 1
Resources:
Abstract
4649 - Global and sex-specific epigenome-wide association studies for the identification of the main methylated loci related to smoking in a Mediterranean population
Presenter: Judith Begona Ramirez Sabio
Session: Poster Display session 1
Resources:
Abstract
4984 - Whole transcriptomics analyses of mimicking Circulating Tumor Cells (CTCs) by single-cell RNA sequencing (scRNAseq)
Presenter: Jessica Garcia
Session: Poster Display session 1
Resources:
Abstract
5926 - Comparison of enzymatic- and bisulfite conversion to map the plasma cell-free methylome in cancer
Presenter: Nicole Lambert
Session: Poster Display session 1
Resources:
Abstract
5454 - Detection of low mutations in hepatocellular carcinoma by using circulating tumor DNA
Presenter: Esl Kim
Session: Poster Display session 1
Resources:
Abstract
4428 - Variants in the JAK1 and JAK2 genes in the risk and prognosis of patients with cutaneous melanoma
Presenter: Bruna Carvalho
Session: Poster Display session 1
Resources:
Abstract
4409 - P-Rex1 expression in breast cancer patients.
Presenter: Angela Lara Montero
Session: Poster Display session 1
Resources:
Abstract
4185 - Modulation of Risk of Cutaneous Melanoma Patients by Variants in STAT3 Gene and Functional Analysis
Presenter: Gabriela Gomez
Session: Poster Display session 1
Resources:
Abstract