Tumour-Specific Growth Rate as a Potential Predictor of Outcomes in Oligoprogressive Disease Treated With Stereotactic Body Radiotherapy
- I Navarro-Domenech 1, J Helou 2, S Kuruvilla Thomas 3, L A Dawson 4, A Hosni 4, S Raman 4, P Chung 4, R Wong 4, R Glicksman 4, P Lindsay 4, J Javor 4, J Weiss 4, A J Hope 5, A S Barry 6
- 1Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada; Radiation Oncology, La Paz Hospital, Madrid, Spain.
- 2Division of Radiation Oncology, London Regional Cancer Program, London, ON, Canada.
- 3Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
- 4Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
- 5Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada; Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
- 6Cancer Research@UCC, University College Cork, Ireland; Department of Radiation Oncology, Cork University Hospital, Ireland.
- 0Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada; Radiation Oncology, La Paz Hospital, Madrid, Spain.
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View abstract on PubMed
Summary
This summary is machine-generated.Tumor-specific growth rate (SGR_OP) may predict outcomes in oligoprogressive disease (OPD) treated with stereotactic body radiotherapy (SBRT). Lower growth rates correlate with better overall survival, suggesting SGR_OP as a potential predictive tool.
Area Of Science
- Oncology
- Radiation Oncology
- Medical Physics
Background
- Stereotactic body radiotherapy (SBRT) shows promise for oligoprogressive disease (OPD).
- Identifying optimal candidates for SBRT in OPD is crucial for treatment efficacy.
- Tumor growth rate is a potential factor influencing treatment outcomes.
Purpose Of The Study
- To investigate tumor-specific growth rate (SGR_OP) as a predictor of outcomes in patients with OPD treated with SBRT.
- To analyze the relationship between SGR_OP and overall survival (OS).
- To explore SGR_OP's potential as a predictive tool independent of histology.
Main Methods
- Prospective phase II study enrolling patients with ≤5 radiological OPDs.
- Retrospective contouring of SBRT-treated metastases on CT scans to calculate SGR_OP (pre- and post-SBRT).
- Kaplan-Meier and Cox proportional hazards models used to assess the impact of SGR_OP on OS.
Main Results
- Analysis included 35 patients with 55 metastases across gastrointestinal (GI), genitourinary (GU), and breast cancer groups.
- Median SGR_OP1 (pre-SBRT growth) was 0.007%/d; median SGR_OP2 (post-SBRT growth) was -0.009%/d.
- Lower SGR_OP1 was associated with higher OS rates (71% vs. 47%), though not statistically significant (P=0.35). GI group showed significantly lower 12-month OS (14%) compared to GU and breast groups.
Conclusions
- SGR_OP analysis reveals diverse growth rates across cancer types and may predict patient outcomes irrespective of histology.
- Further validation is needed to confirm SGR_OP's utility as a predictive tool for SBRT in OPD.
- Tumor growth kinetics could offer valuable insights into treatment response and patient prognosis.
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