Tumour-Specific Growth Rate as a Potential Predictor of Outcomes in Oligoprogressive Disease Treated With Stereotactic Body Radiotherapy

  • 0Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada; Radiation Oncology, La Paz Hospital, Madrid, Spain.
Clinical Oncology +

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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.