Abstract 706P
Background
NSGCTs with BMs are deemed poor-risk by definition. The data on the use and clinical outcomes of SRS in this cohort of patients (pts) is limited.
Methods
This retrospective audit included all pts with BM from metastatic NSGCT treated with SRS at the Royal Marsden Hospital between 2016 and 2024. Pts were required to meet the commissioning criteria for SRS (controllable/absent extracranial disease, expected prognosis ≥6 months, Karnofsy Performance Status, KPS >70). All pts were discussed in specialist germ cell and SRS MDMs. All were treated using a CyberKnife system.
Results
Ten pts were treated. One received 2 and another 3 courses of SRS; total no. of treatments delivered was 13. Median (IQR) age at diagnosis: 31.5 (22-46) yrs. Median (range) time to SRS from diagnosis: 8 (4-205) mts. 2/10 had mediastinal GCT, 8/10 had testicular GCT. 4/10 had BMs on diagnosis. Median (range) KPS: 90 (70-100). Most common chemotherapy regimens: high-dose stem cell rescue (6/10), TIP (5/10), IPE (4/10), CBOP-BEP (4/10). SRS treatments were: alone (9/13), boost post whole brain radiotherapy, WBRT (2/13), to tumour bed alone post-surgery (2/13). 4/10 pts had WBRT: 3/4 prior to SRS of whom 2/3 received SRS boost, 1/3 received SRS on progression; 1/4 had WBRT after debulking surgery on progression after SRS. Most had 1 BM on planning MRI (6/13). Mean (range) GTV/CTV volume: 4.24 (0.07-15.42) cc. SRS doses: 24Gy/3# (4/13), 24Gy/1# (3/13), 21Gy/1# (3/13), 20Gy/1# (1/13), 18Gy/3# (1/13), 18Gy/1# (1/13). Survival was analysed from date of SRS. Median (range) follow-up: 17 (1-80) mts. There were six instances of intracranial progression in 4/10 pts, all failed extracranially. 7/10 pts progressed extracranially: 1/7 salvaged, 3/7 died, 3/7 are on chemotherapy. Intracranial control: 6/10 pts. Both intracranial and extracranial control: 3/10 pts. Median (95% CI) progression-free survival (PFS): 4 (3-5) months. Mean (95% CI) overall survival (OS): 56 (34-78) mts. Two-year OS and PFS were 67% and 23%. The presence of a mediastinal primary adversely impacted OS (Mantel-Cox P=0.005). Younger age (<40 yrs) or BM at diagnosis did not affect OS or PFS.
Conclusions
The use of SRS achieved durable intracranial control in BM in mNSGCT and is appropriate in carefully selected patients.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
1182P - Determination of tumor PSMA expression in prostate cancer from blood using a novel epigenomic liquid biopsy platform
Presenter: Praful Ravi
Session: Poster session 09
1183P - Impact of multicancer early detection (MCED) test on participant-reported outcomes (PRO) and behavioral intentions by cancer risk
Presenter: Christina Dilaveri
Session: Poster session 09
1184P - Early real-world experience with positive multi-cancer early detection (MCED) test cases and negative initial diagnostic work-up
Presenter: Candace Westgate
Session: Poster session 09
1185P - Clinical applications of a novel blood-based fragmentomics assay for lung cancer detection
Presenter: Marc Siegel
Session: Poster session 09
1186P - SmartCS-LPLLM: Enhancing early cancer detection through ctDNA methylation analysis leveraging large language models
Presenter: Li Chao
Session: Poster session 09
1187P - Molecular diagnosis of lung cancer via ctDNA and ctRNA detection on bronchoscopic fluid specimens from 31 patients: A retrospective analysis
Presenter: Vincent Fallet
Session: Poster session 09
1188P - Modeled economic and clinical impact of a multi-cancer early detection (MCED) test in a population with hereditary cancer syndromes
Presenter: Sana Raoof
Session: Poster session 09
1189P - Cancer genome interpreter: A data-driven tool for tumor mutation interpretation
Presenter: Santiago Demajo
Session: Poster session 09
1190P - Circulating tumor DNA from the tumor-draining pulmonary vein as a biomarker in resected non-small cell lung cancer
Presenter: Raphael Werner
Session: Poster session 09
1191P - Efficient lung cancer stage prediction and outcome informatics with Bayesian deep learning and MCMC method
Presenter: Maria Gkotzamanidou
Session: Poster session 09