I. Navarro-Domenech , J. Helou , S. Kuruvilla Thomas , L.A. Dawson , A. Hosni , S. Raman , P. Chung , R. Wong , R. Glicksman , P. Lindsay , J. Javor , J. Weiss , A.J. Hope , A.S. Barry
{"title":"肿瘤特异性生长速率作为立体定向放射治疗少进展性疾病预后的潜在预测因子","authors":"I. Navarro-Domenech , J. Helou , S. Kuruvilla Thomas , L.A. Dawson , A. Hosni , S. Raman , P. Chung , R. Wong , R. Glicksman , P. Lindsay , J. Javor , J. Weiss , A.J. Hope , A.S. Barry","doi":"10.1016/j.clon.2025.103895","DOIUrl":null,"url":null,"abstract":"<div><h3>Aims</h3><div>Growing data suggest a potential progression-free survival advantage with stereotactic body radiotherapy (SBRT) in oligoprogressive disease (OPD). However, optimal candidates remain uncertain. This study aims to investigate tumour-specific growth rate as a potential predictor of outcomes in OPD.</div></div><div><h3>Materials and Methods</h3><div>Patients with ≤5 radiological OPDs were enrolled in a prospective phase II study. SBRT-treated metastases were retrospectively contoured on (1) gross tumour volume (GTV)1—pre-SBRT/baseline computed tomography (CT); (2) GTV2—SBRT planning CT, (3) GTV3—post-SBRT follow-up CT. Specific growth rate for each oligoprogressive lesion (SGR_OP) was calculated according to the literature as (ln(GTVy/GTVx)/t) %/d (t = days). SGR_OP1 was defined as pre-SBRT growth (from SBRT planning CT scan to baseline imaging) and SGR_OP2 as post-SBRT growth (from follow-up CT to planning CT). A high SGR_OP1/2 was defined as one greater than the median SGR_OP1/2 value. The primary endpoint was the impact of SGR1/2 on overall survival (OS) rate, which was estimated using the Kaplan-Meier method and Cox proportional hazards models. Local progression (LP) was progression to the treated lesion, while disease progression (DP) was progression of other nontreated metastases. Cumulative incidence function and Fine-Grey subdistribution hazard models were utilised to estimate progression rates.</div></div><div><h3>Results</h3><div>Thirty-five patients with 55 metastases grouped in gastrointestinal (GI) (40%), genitourinary (GU) (31%), and breast (29%) cancer groups were analysed. The median follow-up was 11.74 months (interquartile range [IQR]: 8.05, 15.65). The median SGR_OP1 and SGR_OP2 value was 0.007 %/d (IQR: 0.004, 0.013) and -0.009 %/d (IQR: -0.014 to 0.002), respectively. Forty-eight percent of patients had high SGR_OP1 (>0.007 %/d). and 50% had high SGR_OP2 (>-0.009 %/d). The 12-month OS rate was 59% (95% confidence interval [CI]: 44.2-78.1), which was significantly lower in the GI group (14% [95% CI: 4-51.5], [<em>P</em> = 0.002]) than in the GU and breast groups. A low SGR_OP1 showed higher rates of OS than high SGR_OP1 (71% vs 47%, <em>P</em> = 0.35).</div></div><div><h3>Conclusion</h3><div>SGR_OP analysis appears to demonstrate a wide range of growth rates within individual cancer group and may allow prediction of patient outcomes independent of histology. Additional validation will be required to confirm if this tool can be used to predict outcomes.</div></div>","PeriodicalId":10403,"journal":{"name":"Clinical oncology","volume":"44 ","pages":"Article 103895"},"PeriodicalIF":3.2000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tumour-Specific Growth Rate as a Potential Predictor of Outcomes in Oligoprogressive Disease Treated With Stereotactic Body Radiotherapy\",\"authors\":\"I. Navarro-Domenech , J. Helou , S. Kuruvilla Thomas , L.A. Dawson , A. Hosni , S. Raman , P. Chung , R. Wong , R. Glicksman , P. Lindsay , J. Javor , J. Weiss , A.J. Hope , A.S. Barry\",\"doi\":\"10.1016/j.clon.2025.103895\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aims</h3><div>Growing data suggest a potential progression-free survival advantage with stereotactic body radiotherapy (SBRT) in oligoprogressive disease (OPD). However, optimal candidates remain uncertain. This study aims to investigate tumour-specific growth rate as a potential predictor of outcomes in OPD.</div></div><div><h3>Materials and Methods</h3><div>Patients with ≤5 radiological OPDs were enrolled in a prospective phase II study. SBRT-treated metastases were retrospectively contoured on (1) gross tumour volume (GTV)1—pre-SBRT/baseline computed tomography (CT); (2) GTV2—SBRT planning CT, (3) GTV3—post-SBRT follow-up CT. Specific growth rate for each oligoprogressive lesion (SGR_OP) was calculated according to the literature as (ln(GTVy/GTVx)/t) %/d (t = days). SGR_OP1 was defined as pre-SBRT growth (from SBRT planning CT scan to baseline imaging) and SGR_OP2 as post-SBRT growth (from follow-up CT to planning CT). A high SGR_OP1/2 was defined as one greater than the median SGR_OP1/2 value. The primary endpoint was the impact of SGR1/2 on overall survival (OS) rate, which was estimated using the Kaplan-Meier method and Cox proportional hazards models. Local progression (LP) was progression to the treated lesion, while disease progression (DP) was progression of other nontreated metastases. Cumulative incidence function and Fine-Grey subdistribution hazard models were utilised to estimate progression rates.</div></div><div><h3>Results</h3><div>Thirty-five patients with 55 metastases grouped in gastrointestinal (GI) (40%), genitourinary (GU) (31%), and breast (29%) cancer groups were analysed. The median follow-up was 11.74 months (interquartile range [IQR]: 8.05, 15.65). The median SGR_OP1 and SGR_OP2 value was 0.007 %/d (IQR: 0.004, 0.013) and -0.009 %/d (IQR: -0.014 to 0.002), respectively. Forty-eight percent of patients had high SGR_OP1 (>0.007 %/d). and 50% had high SGR_OP2 (>-0.009 %/d). The 12-month OS rate was 59% (95% confidence interval [CI]: 44.2-78.1), which was significantly lower in the GI group (14% [95% CI: 4-51.5], [<em>P</em> = 0.002]) than in the GU and breast groups. A low SGR_OP1 showed higher rates of OS than high SGR_OP1 (71% vs 47%, <em>P</em> = 0.35).</div></div><div><h3>Conclusion</h3><div>SGR_OP analysis appears to demonstrate a wide range of growth rates within individual cancer group and may allow prediction of patient outcomes independent of histology. Additional validation will be required to confirm if this tool can be used to predict outcomes.</div></div>\",\"PeriodicalId\":10403,\"journal\":{\"name\":\"Clinical oncology\",\"volume\":\"44 \",\"pages\":\"Article 103895\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0936655525001505\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical oncology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0936655525001505","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
Tumour-Specific Growth Rate as a Potential Predictor of Outcomes in Oligoprogressive Disease Treated With Stereotactic Body Radiotherapy
Aims
Growing data suggest a potential progression-free survival advantage with stereotactic body radiotherapy (SBRT) in oligoprogressive disease (OPD). However, optimal candidates remain uncertain. This study aims to investigate tumour-specific growth rate as a potential predictor of outcomes in OPD.
Materials and Methods
Patients with ≤5 radiological OPDs were enrolled in a prospective phase II study. SBRT-treated metastases were retrospectively contoured on (1) gross tumour volume (GTV)1—pre-SBRT/baseline computed tomography (CT); (2) GTV2—SBRT planning CT, (3) GTV3—post-SBRT follow-up CT. Specific growth rate for each oligoprogressive lesion (SGR_OP) was calculated according to the literature as (ln(GTVy/GTVx)/t) %/d (t = days). SGR_OP1 was defined as pre-SBRT growth (from SBRT planning CT scan to baseline imaging) and SGR_OP2 as post-SBRT growth (from follow-up CT to planning CT). A high SGR_OP1/2 was defined as one greater than the median SGR_OP1/2 value. The primary endpoint was the impact of SGR1/2 on overall survival (OS) rate, which was estimated using the Kaplan-Meier method and Cox proportional hazards models. Local progression (LP) was progression to the treated lesion, while disease progression (DP) was progression of other nontreated metastases. Cumulative incidence function and Fine-Grey subdistribution hazard models were utilised to estimate progression rates.
Results
Thirty-five patients with 55 metastases grouped in gastrointestinal (GI) (40%), genitourinary (GU) (31%), and breast (29%) cancer groups were analysed. The median follow-up was 11.74 months (interquartile range [IQR]: 8.05, 15.65). The median SGR_OP1 and SGR_OP2 value was 0.007 %/d (IQR: 0.004, 0.013) and -0.009 %/d (IQR: -0.014 to 0.002), respectively. Forty-eight percent of patients had high SGR_OP1 (>0.007 %/d). and 50% had high SGR_OP2 (>-0.009 %/d). The 12-month OS rate was 59% (95% confidence interval [CI]: 44.2-78.1), which was significantly lower in the GI group (14% [95% CI: 4-51.5], [P = 0.002]) than in the GU and breast groups. A low SGR_OP1 showed higher rates of OS than high SGR_OP1 (71% vs 47%, P = 0.35).
Conclusion
SGR_OP analysis appears to demonstrate a wide range of growth rates within individual cancer group and may allow prediction of patient outcomes independent of histology. Additional validation will be required to confirm if this tool can be used to predict outcomes.
期刊介绍:
Clinical Oncology is an International cancer journal covering all aspects of the clinical management of cancer patients, reflecting a multidisciplinary approach to therapy. Papers, editorials and reviews are published on all types of malignant disease embracing, pathology, diagnosis and treatment, including radiotherapy, chemotherapy, surgery, combined modality treatment and palliative care. Research and review papers covering epidemiology, radiobiology, radiation physics, tumour biology, and immunology are also published, together with letters to the editor, case reports and book reviews.