Summary points
- The breast cancer specific graded prognostic assessment (GPA) index for brain metastasis published by Sperdutoetal. in 2012 found that the number of brain metastases (BM) was not a significant prognostic factor in a multi-institution study.
- A subsequent single institution analysis published by Subbiahetal. in 2015 found that the number of BM, in addition to Karnofsky Performance Score, age and breast cancer subtype, was prognostic of patient outcomes.
- Our single institutional analysis validates the modified breast GPA proposed by Subbiahetal. and affirms that the number of BM is a clinically significant variable that will guide appropriate radiotherapy treatment.
- Univariate analysis on each factor in breast and modified breast GPA found the number of BM, race, subtype and treatment modality to be significant prognostic factors.
- The patients accrued in this database were in a period where intracranial radiation outnumbered stereotactic radiosurgery, and with the evolution of radiotherapy treatment paradigms for patients with BM, predictive prognostic factor analyses may be potentially confounded.
Brain metastases (BM) carry significant risk and morbidity, signifying high tumor burden and advanced cancer stage (1,2). Breast cancer is the second most common cause of BM. While 10-15% of patients with breast cancer develop BM in the course of their disease, autopsy studies suggest this proportion may be as high as 30% (3,4). Yet, overall survival (OS) of subpopulations of breast cancer brain metastases (BCBM) patients has improved with advancements in systemic and radiation therapy, with improved prognostic indices informing personalized treatment options (5-8). These treatment options include surgical resection, whole-brain radiation therapy (WBRT) and stereotactic radiosurgery (SRS).
Multiple indices comprising different diagnosis-specific prognostic factors have been compiled to predict OS of cancer patients with BM. BM risk factors in primary breast cancer include age, race, tumor burden, HER2/estrogen receptor (ER)/progesterone receptor(PR) status, p53 gene expression and proliferation rate (9-13). Variables thus commonly included in BCBM prognostic indices are age, Karnofsky Performance Score (KPS), tumor subtype, number of BM and presence of extracranial metastases (ECM).
Sperdutoetal. developed the graded prognostic assessment (GPA) as a prognostic index for all cancer patients with BM in 2008 (14). Compared with the Radiation Therapy Oncology Group's (RTOG) 1997 recursive partitioning analysis (RPA), the score-index for radiosurgery and the basic score for brain metastases (BSBM) using an RTOG BM database of 1960 patients, the GPA was as prognostic as the RPA and the least subjective of the four indices (15,16). Factors found to be significant in the GPA were age, KPS, ECM and number of BM. The GPA was validated and subsequently modified as a disease-specific prognostic index for a number of primary cancers, including small and non-small-cell lung cancers, breast cancer, renal cell carcinoma and melanoma (17). The breast GPA included two breast cancer-specific parameters: ER and PR hormone receptor (HR) status and EGFR2 (HER2) status (18). Interestingly, number of BM was found not to be a significant prognostic factor in a multi-institutional review of 400 BCBM patients and was excluded from the breast GPA (17). However, Subbiahetal. recently re-evaluated both the number of BM and the breast GPA as prognostic metrics in BCBM in a large single institution patient study and found that both independently predicted for OS. The proposed modified breast-GPA (henceforth the modified breast GPA) incorporated number of BM as the fourth clinical parameter in addition to age, KPS and cancer subtype (19).
As number of BM is a clinically important variable that guides treatment, and significant heterogeneity of size, geographic distribution and clinical practice exists in the patient cohorts in whom the breast GPA and modified breast GPA indices were evaluated, we sought to validate the modified breast GPA in our separate, single institution BCBM cohort.
Patients and methods
Patients with metastatic brain tumors were retrospectively reviewed in our institutional review board (IRB) approved databases. From 1997 to2015, a total of 1254 patients received wither Gamma Knife stereotactic radiosurgery or WBRT. Patients included in this study during primary initial staging did not present with BM, and had breast cancer with known molecular subtype proven through biopsy. MRI was the imaging modality used to confirm and evaluate the number of BM. All patients in the study were evaluated with brain MRI. Among the patients that were excluded include those that failed to complete their WBRT treatment course, and those that were simply lost to follow-up despite having completed their respective radiation treatment course. A total of 127 patients were identified that fit our criteria (Table 1).
Variables | All patients (n=127), n | % |
---|---|---|
Age at diagnosis: | ||
- ≤50 | 72 | 56.7 |
- >50 | 55 | 43.3 |
KPS: | ||
- ≤50 | 12 | 9.4 |
- 60 | 16 | 12.6 |
- 70-80 | 75 | 59 |
- 90-100 | 24 | 18.9 |
Race/ethnicity: | ||
- White | 52 | 40.9 |
- Black | 20 | 15.7 |
- Hispanic | 30 | 23.6 |
- Other | 25 | 19.7 |
BM: | ||
- 1-3 | 73 | 57.5 |
- >3 | 54 | 42.5 |
Subtype: | ||
- Receptor+/HER2+ | 33 | 26 |
- Receptor-/HER2+ | 15 | 11.8 |
- Receptor+/HER2- | 57 | 44.9 |
- TN | 22 | 17.3 |
Treatment: | ||
- WBRT | 52 | 40.9 |
- SRS and WBRT | 13 | 10.2 |
- Surgery and WBRT | 13 | 10.2 |
- Surgery, SRS and WBRT | 24 | 18.9 |
- SRS | 25 | 19.7 |
Grade: | ||
- 1 | 10 | 7.9 |
- 2 | 67 | 52.8 |
- 3 | 19 | 15 |
- Unknown | 31 | 24.4 |
Primary controlled: | ||
- Yes | 66 | 52 |
- No | 51 | 40.2 |
- Unknown | 10 | 7.9 |
Chemotherapy: | ||
- Yes | 99 | 78 |
- No | 26 | 20.5 |
- Unknown | 2 | 1.6 |
BM:Brain metastasis; KPS:Karnofsky Performance Score; SRS:Stereotactic radiosurgery;TN:Triple negative; WBRT:Whole-brain radiation therapy.
Breast GPA and modified breast GPA indices were calculated for each of 127 BCBM patients (Tables 2 and 3). Scoring in the Sperdutoetal. breast GPA comprised KPS≤50 (0 points), 60 (0.5 points), 70-80 (1.0 points) and90-100 (1.5 points); triple-negative breast cancer (TNBC)subtype(0 points), HR+/HER2- (1 point), HR-/HER2+ (1.5 points), HR+/HER2+ (2 points); and age≥60years (0 points), <60years (0.5 points).
Variables | 0-1 (n=8) | 1.5-2 (n=36) | 2.5-3 (n=57) | 3.5-4 (n=26) | Pearson's χ2 p-value | ||||
---|---|---|---|---|---|---|---|---|---|
n | % | n | % | n | % | n | % | ||
Age at diagnosis: | 0.192 | ||||||||
- ≤50 | 3 | 37.5 | 16 | 44.4 | 33 | 57.9 | 20 | 76.9 | |
- >50 | 5 | 62.5 | 20 | 55.5 | 24 | 42.1 | 6 | 23.1 | |
KPS: | < 0.001 | ||||||||
- ≤50 | 2 | 25 | 9 | 25 | 1 | 1.8 | 0 | 0 | |
- 60 | 5 | 62.5 | 8 | 22.2 | 3 | 5.3 | 0 | 0 | |
- 70-80 | 1 | 12.5 | 15 | 41.7 | 43 | 75.4 | 16 | 61.5 | |
- 90-100 | 0 | 0 | 4 | 11.1 | 10 | 17.5 | 10 | 38.5 | |
Race/ethnicity: | 0.31 | ||||||||
- White | 2 | 25 | 14 | 38.9 | 30 | 52.6 | 6 | 23.1 | |
- Black | 3 | 37.5 | 7 | 19.4 | 6 | 10.5 | 4 | 15.4 | |
- Hispanic | 2 | 25 | 10 | 27.8 | 10 | 17.5 | 8 | 30.8 | |
- Other | 1 | 12.5 | 5 | 13.9 | 11 | 19.3 | 8 | 30.8 | |
BM: | 0.435 | ||||||||
- 1-3 | 4 | 50 | 21 | 58.3 | 30 | 52.6 | 18 | 69.2 | |
- >3 | 4 | 50 | 15 | 41.7 | 27 | 47.4 | 8 | 30.8 | |
Subtype: | <0.001 | ||||||||
- Receptor+/HER2+ | 0 | 0 | 0 | 0 | 7 | 12.3 | 26 | 100 | |
- Receptor-/HER2+ | 0 | 0 | 4 | 11.1 | 11 | 19.3 | 0 | 0 | |
- Receptor+/HER2- | 1 | 12.5 | 17 | 47.2 | 39 | 68.4 | 0 | 0 | |
- TN | 7 | 87.5 | 15 | 41.7 | 0 | 0 | 0 | 0 | |
Treatment: | 0.429 | ||||||||
- WBRT | 6 | 75 | 19 | 52.8 | 21 | 36.8 | 6 | 23.1 | |
- SRS and WBRT | 0 | 0 | 2 | 5.6 | 7 | 12.3 | 4 | 15.4 | |
- Surgery and WBRT | 0 | 0 | 6 | 16.7 | 6 | 10.5 | 1 | 3.8 | |
- Surgery, SRS and WBRT | 1 | 12.5 | 5 | 13.9 | 11 | 19.3 | 7 | 26.9 | |
- SRS | 1 | 12.5 | 4 | 11.1 | 12 | 21.1 | 8 | 30.8 | |
Grade: | 0.39 | ||||||||
- 1 | 0 | 0 | 1 | 2.8 | 6 | 10.5 | 3 | 11.5 | |
- 2 | 5 | 62.5 | 25 | 69.4 | 27 | 47.4 | 10 | 38.5 | |
- 3 | 1 | 12.5 | 3 | 8.3 | 10 | 17.5 | 5 | 19.2 | |
- Unknown | 2 | 25 | 7 | 19.4 | 14 | 24.6 | 8 | 30.8 | |
Primary controlled: | 0.637 | ||||||||
- Yes | 5 | 62.5 | 18 | 50 | 30 | 52.6 | 13 | 50 | |
- No | 3 | 37.5 | 17 | 47.2 | 20 | 35.1 | 11 | 42.3 | |
- Unknown | 0 | 0 | 1 | 2.8 | 7 | 12.3 | 2 | 7.7 | |
Chemotherapy: | 0.397 | ||||||||
- Yes | 6 | 75 | 26 | 72.2 | 44 | 77.2 | 23 | 88.5 | |
- No | 2 | 25 | 9 | 25 | 13 | 22.8 | 2 | 7.7 | |
- Unknown | 0 | 0 | 1 | 2.8 | 0 | 0 | 1 | 3.8 |
BM:Brain metastasis; KPS:Karnofsky Performance Score; SRS:Stereotactic radiosurgery; TN:Triple negative; WBRT:Whole-brain radiation therapy.
Variables | 0-1 (n=17) | 1.5-2 (n=50) | 2.5-3 (n=45) | 3.5-4 (n=15) | Pearson's χ2 p-value | ||||
---|---|---|---|---|---|---|---|---|---|
n | % | n | % | n | % | n | % | ||
Age at diagnosis: | 0.003 | ||||||||
- ≤50 | 6 | 35.3 | 23 | 46 | 30 | 66.7 | 13 | 86.7 | |
- >50 | 11 | 64.7 | 27 | 54 | 15 | 33.3 | 2 | 13.3 | |
KPS: | <0.001 | ||||||||
- ≤50 | 7 | 41.2 | 5 | 10 | 0 | 0 | 0 | 0 | |
- 60 | 8 | 40.1 | 7 | 14 | 1 | 2.2 | 0 | 0 | |
- 70-80 | 2 | 11.8 | 34 | 68 | 33 | 73.3 | 6 | 40 | |
- 90-100 | 0 | 0 | 4 | 8 | 11 | 24.4 | 9 | 60 | |
Race/ethnicity: | 0.492 | ||||||||
- White | 5 | 29.4 | 22 | 44 | 20 | 44.4 | 5 | 33.3 | |
- Black | 4 | 23.5 | 7 | 14 | 8 | 17.8 | 1 | 6.7 | |
- Hispanic | 6 | 35.3 | 12 | 24 | 8 | 17.8 | 4 | 26.7 | |
- Other | 2 | 11.8 | 9 | 18 | 9 | 20 | 5 | 33.3 | |
BM: | 0.007 | ||||||||
- 1-3 | 5 | 29.4 | 25 | 50 | 28 | 62.2 | 15 | 100 | |
- >3 | 12 | 70.6 | 25 | 50 | 17 | 37.8 | 0 | 0 | |
Subtype: | <0.001 | ||||||||
- Receptor+/HER2+ | 0 | 0 | 1 | 2 | 17 | 37.8 | 15 | 100 | |
- Receptor-/HER2+ | 0 | 0 | 6 | 12 | 9 | 20 | 0 | 0 | |
- Receptor+/HER2- | 9 | 52.9 | 31 | 62 | 17 | 37.8 | 0 | 0 | |
- TN | 8 | 47.1 | 12 | 24 | 2 | 4.4 | 0 | 0 | |
Treatment: | 0.043 | ||||||||
- WBRT | 13 | 76.5 | 20 | 40 | 17 | 37.8 | 2 | 13.3 | |
- SRS and WBRT | 0 | 0 | 4 | 8 | 7 | 15.6 | 2 | 13.3 | |
- Surgery and WBRT | 2 | 11.8 | 4 | 8 | 6 | 13.3 | 1 | 6.7 | |
- Surgery, SRS and WBRT | 1 | 5.9 | 11 | 22 | 6 | 13.3 | 6 | 40 | |
- SRS | 1 | 5.9 | 11 | 22 | 9 | 20 | 4 | 26.7 | |
Grade: | 0.845 | ||||||||
- 1 | 1 | 5.9 | 2 | 4 | 6 | 13.3 | 1 | 6.7 | |
- 2 | 11 | 64.7 | 28 | 56 | 23 | 51.1 | 5 | 33.3 | |
- 3 | 1 | 5.9 | 8 | 16 | 7 | 15.6 | 3 | 20 | |
- Unknown | 4 | 23.5 | 12 | 24 | 9 | 20 | 6 | 40 | |
Primary controlled: | 0.273 | ||||||||
- Yes | 10 | 58.8 | 22 | 44 | 28 | 62.2 | 6 | 40 | |
- No | 7 | 41.2 | 25 | 50 | 11 | 24.4 | 8 | 53.3 | |
- Unknown | 0 | 0 | 3 | 6 | 6 | 13.3 | 1 | 6.7 | |
Chemotherapy: | 0.433 | ||||||||
- Yes | 12 | 70.6 | 38 | 76 | 37 | 82.2 | 12 | 80 | |
- No | 5 | 29.4 | 11 | 22 | 8 | 17.8 | 2 | 13.3 | |
- Unknown | 0 | 0 | 1 | 2 | 0 | 0 | 1 | 6.7 |
BM:Brain metastasis; KPS:Karnofsky Performance Score; SRS:Stereotactic radiosurgery; TN:Triple negative; WBRT:Whole-brain radiation therapy.
Scoring in the Subbiahetal. modified breast GPA differed from the breast GPA in the following: subtype TNBC (0 points), HR+/HER2− (0.5 points), HR−/HER2+ (1.0 points); age>50years (0 points), ≤50years (0.5 points); and number of BM>3 (0 points), 1-3 (0.5 points). Patients were stratified into four subgroups in both the breast GPA and modified breast GPA with scores 0-1, 1.5-2, 2.5-3 and 3.5-4. Higher scores correlated with better prognosis.
Using the Kaplan-Meier estimator and Cox proportional hazards model, survival curves were calculated. To assess survival differences between each subgroup, log-rank tests were used. The OS time was measured from the last day of WBRT administration to the date of death or date of the last follow-up. For patients where the only first date of WBRT was known or recorded, the date in which treatment ended was approximated by adding ten business days after the initiation date. Furthermore, for 12 patients, only the month in which they initiated WBRT was known. As a result, the 15th of each month was used as an estimated treatment initiation date. Computations using the first, 15th and 30th day of each respective month as estimations were shown to not be significantly different. Patients lost to follow-up were censored for survival. For the 25 patients who received only SRS (Table 1), survival was determined as last SRS treatment date to date of death or date of last available follow-up. Prognostic factors were assessed through univariate and multivariate Cox proportional hazards regression and analyses. A p-value of less than 0.05 was defined as significant. All statistical analyses were performed using SPSS software.
Results
Kaplan-Meier analysis with direct comparison of both statistical techniques is the statistical test that indicates that adding the number of BM improves the quality of the classification. Kaplan-Meier curves were stratified by breast GPA and modified breast GPA indices (Figure1AandB). Median OS for all 127 patients was 418days. Median OS for each adjusted modified breast GPA score of 0-1.0, 1.5-2.0, 2.5-3.0 and 3.5-4.0, was 132, 405, 473 and791days respectively (p=0.013). Median OS for each adjusted breast GPA score of 0-1.0, 1.5-2.0, 2.5-3.0 and 3.5-4.0, was 470, 168, 473 and 543days respectively (p=0.081).
Figure 1. Kaplan-Meier survical curves. A.Kaplan-Meier survival curves for original breast-GPA groups. Group 1:GPA:0.0-1.0; MST:1.29years; (N=8), group 2:GPA:1.5-2.0; MST:0.46years; (N=36), group 3:GPA:2.5-3.0; MST:1.30years; (N=57) and group 4:GPA:3.5-4.0; MST:1.49years; (N=26).Table 4 lists 1-, 2-and 3-year OS estimates and median OS in months by breast GPA group. B.Kaplan-Meier survival curves for modified breast-GPA groups. Group 1:GPA:0.0-1.0; MST:0.362years; (N=17), group 2:GPA:1.5-2.0; MST:1.11years; (N=50), group 3:GPA:2.5-3.0; MST:1.30years; (N=45) and group 4:GPA:3.5-4.0; MST:2.17years; (N=15).Table 5 lists 1-, 2- and 3-year OS estimates and median OS in months by breast GPA group. GPA:Graded prognostic assessment;MST:Median survival time; OS:Overall survival.
Original breast GPA | n (%) | OS, months (95% CI) | 1-year OS, % (95% CI) | 2-year OS, % (95% CI) | 3-year OS, % (95% CI) |
---|---|---|---|---|---|
0-1 | 8 | 15.5 (4.92-26.0) | 53.3 (3.7-100) | 0 | 0 |
1.5-2 | 36 | 5.5 (4.0-7.1) | 39.2 (20.6-57.8) | 25.2 (4.8-45.6) | 25.2 (4.8-45.6) |
2.5-3 | 57 | 15.6 (7.2-21.4) | 63.3 (49.3-77.3) | 34.6 (18.8-50.4) | 28.8 (12.0-45.6) |
3.5-4 | 26 | 17.9 (10.4-25.3) | 72.7 (53.5-91.9) | 43.2 (19.6-66.8) | 36 (12.2-59.8) |
GPA:Graded prognostic assessment;OS:Overall survival.
Modified breast GPA | n (%) | OS, months (95% CI) | 1-year OS, % (95% CI) | 2-year OS, % (95% CI) | 3-year OS, % (95% CI) |
---|---|---|---|---|---|
0-1 | 17 | 4.3 (2.6-6.0) | 28.6 (0-60.0) | 0 | 0 |
1.5-2 | 50 | 13.3 (5.9-20.7) | 55.0 (40.2-69.6) | 30.7 (14.1-47.3) | 30.7 (14.1-47.3) |
2.5-3 | 45 | 15.6 (12.0-19.1) | 66.2 (50.0-82.4) | 31.4 (13.2-49.6) | 25.1 (6.7-43.5) |
3.5-4 | 15 | 26 (0-87.0) | 70.1 (44.9-95.3) | 60.1 (31.7-88.5) | 48.1 (16.7-79.5) |
GPA:Graded prognostic assessment; OS:Overall survival.
Univariate analysis was conducted on each factor included in both breast and modified breast GPA, in addition to race and treatment modality. Number of metastases, race, subtype and treatment modality (specifically WBRT) were found to be significant risk factors in both GPA classifications (Table 6). Receptor status subtype hazard ratios (HRs) were: HR+/HER2-, 2.486 (p=0.018); HR-/HER2+, 1.305 (p=0.383); and HR-/HER2-, 1.418 (p=0.388). KPS was statistically significant (p=0.004) at lower KPS scores with the following HRs: KPS: 70-80, 1.727 (p=0.103); KPS: 60-69, 4.316 (p=0.000); and KPS<60, 3.028 (p=0.022). Finally, HR for number of metastases was 1.731 (p=0.032) in patients with greater than three metastases versus patients with one-to-three metastases.
Variables | Hazard ratio | 95% CI (lower) | 95% CI (upper) | p-value |
---|---|---|---|---|
Age at diagnosis: | ||||
- ≤50 | 1 | 1 | ||
- >50 | 1.293 | 0.804 | 2.079 | 0.288 |
KPS: | ||||
- 90-100 | 1 | 1 | ||
- 70-80 | 1.727 | 0.895 | 3.332 | 0.103 |
- 60 | 4.316 | 1.895 | 9.831 | <0.001 |
- ≤50 | 3.028 | 1.172 | 7.82 | 0.022 |
Race/ethnicity: | ||||
- White | 1 | 1 | ||
- Black | 2.909 | 1.402 | 6.036 | 0.004 |
- Hispanic | 1.39 | 0.719 | 2.685 | 0.328 |
- Other | 1.045 | 0.571 | 1.912 | 0.886 |
BM: | ||||
- 1-3 | 1 | 1 | ||
- >3 | 1.731 | 1.053 | 2.846 | 0.032 |
Subtype: | ||||
- HR+/HER2+ | 1 | 1 | ||
- HR-/HER2+ | 2.486 | 1.168 | 5.291 | 0.018 |
- HR+/HER2- | 1.305 | 0.717 | 2.374 | 0.383 |
- TNBC | 1.418 | 0.642 | 3.134 | 0.388 |
Treatment: | ||||
- SRS | 1 | 1 | ||
- WBRT | 2.628 | 1.371 | 5.035 | 0.004 |
- SRS and WBRT | 0.865 | 0.344 | 2.173 | 0.758 |
- Surgery and WBRT | 0.491 | 0.174 | 1.388 | 0.18 |
- Surgery, SRS and WBRT | 0.808 | 0.376 | 1.739 | 0.586 |
BM:Brain metastasis; KPS:Karnofsky Performance Score; SRS:Stereotactic radiosurgery; TNBC:Triple-negative breast cancer;WBRT:Whole-brain radiation therapy.
Discussion
Number of BM is a clinically significant variable that directs radiotherapy treatment. Its role as a prognostic factor in BCBM, however, has only been evaluated in two recent retrospective studies that disagree on statistical significance (19,20). To date, our single institution experience of BCBM is the first to validate the modified breast GPA proposed by Subbiahetal. and show that number of BM contributes to the delineation of BCBM patients into four groups with significantly different prognoses.
The early diagnostic RPA and BSBM indices were not specific for breast cancer, and relied partly on subjective evaluation of patient functional status and control of primary tumor (21,22). The initial GPA index (2008) was similarly not disease-specific but attempted to standardize prognostic evaluation of BM with more quantitative, rather than qualitative, parameters. Tumor burden was quantified by measuring both presence of ECM and number of CNS lesions. Presence of ECM notably comprised part of the prognostic evaluation of all three BM indices (RPA, BSBM and score index for radiosurgery) discussed in the original GPA publication (14).
Disease-specific GPA indices derived from the original GPA score were subsequently developed to evaluate BM prognosis in each of a number of primary malignancies. Number of BM was a preserved parameter in the GPA indices for non-small-cell lung cancer, small cell lung cancer, renal cell carcinoma and melanoma, as evaluated by Sperduto et al. (17). The Barnholtz-Sloanetal. nomogram generated from an analysis of seven RTOG studies that combined predicting factors from the GPA and RPA indices also found number of brain lesions to be a significant prognostic factor in cancer BM (23).
Compared with the original 2008 GPA, the breast cancer-specific GPA (2012) included breast cancer receptor status and the concomitant removal of: number of BM; and ECM, from the index. Neither of the removed factors was found to be significant in the multi-institutional review of 400 BCBM patients. It is difficult to determine from the published analysis if these changes actually represented covariate redundancy following the addition of receptor status to the index.
Improved breast cancer systemic therapy was proposed to account for the apparent decline in significance of systemic disease burden as a BCBM prognostic factor in (20). Indeed, the adoption of antihormonal therapy and HER2/neu targeted therapy into the standard of care, along with developments in conventional chemotherapy for patients with more advanced breast cancer, have led to increased distant metastasis-free survival and OS. However, this rationale is arguably less relevant to BM as the blood-brain barrier reduces the therapeutic impact of systemic therapy within the CNS.
Several small series have found the number of BM to be a significant prognostic factor in OS of BCBM patients in the past decade (24-30). The clinical importance of number and location of BM is noteworthy as several published treatment algorithms consider these factors in the breast cancer treatment paradigm. For example, recommendations for HER2+ patients with 1-3 BM include SRS, whereas those with greater than three metastases include WBRT and/or palliative care (31,32). Our single institution experience of 127 BCBM patients showed a strong correlation between patient outcomes and the modified breast GPA score. Most significantly, we identified a stratum of high performing patients in the modified breast GPA with OS>25months that was well in excess of 18months seen in with the best performing breast GPA stratum. In our patient cohort those who had the longest OS tended to be aged ≤50 (11 out of 16), have KPS>70 (13 out of 16) and <3 BM (14 out of 16).
Within the modified breast GPA index, significant factors on univariate analysis were KPS≤50, number of BM, race, subtype and treatment modality, but not age. The latter have been repeatedly shown to be significant in previous, larger retrospective studies. A larger sample size is likely necessary to attain statistical significance for age. Multivariate analysis of our patient cohort was not possible for the same reasons.
Other limitations of this retrospective study include an institutional database comprising of only patients whose treatment included radiation therapy and not those who underwent systemic therapy alone. Further, patients were accrued to this database over a period in which intracranial radiation favored SRS over whole-brain radiation in a progressively larger proportion of patients. The effect of this evolution in the radiotherapy treatment paradigm for cancer BM patients on outcomes potentially confounds the impacts of prognostic with predictive factors, as the latter reflects treatment result rather than prognosis.
Conclusion
The previous multi-institutional study by Sperdutoetal. in 2012 found that the number of BM was not a significant prognostic factor in the breast cancer specific GPA. Subsequent analysis by Subbiahetal. found that in addition to KPS, breast cancer subtype and age, the number of BCBM was also a prognostic indicator of patient outcomes. Our data affirm that the inclusion of number of BCBM in the modified breast GPA index meaningfully contributes to prognostic stratification of BCBM patients. While our institutional experience validated the use of the modified breast GPA index, a multi-institutional prospective analysis should ultimately be conducted to confirm these results, and lead to new guidelines in treatment management.
Financial and competing interests disclosure
TJC Wang reports personal fees and nonfinancial support from AbbVie, nonfinancial support from Merck, personal fees from AstraZeneca, personal fees from Doximity, nonfinancial support from Novocure, personal fees and nonfinancial support from Elekta and personal fees from Wolters Kluwer, outside the submitted work. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.
No writing assistance was utilized in the production of this manuscript.
Ethical conduct of research
The authors declare that they have no conflict of interest. Informed consent was obtained from all individual participants included in the study. All patients were retrospectively reviewed on an IRB approved database IRB-AAAM2358, Comprehensive Brain Malignancy and Brain Tumor Clinical Database. This article does not contain any studies with animals performed by any of the authors.
1. Zimm S, Wampler GL, Stablein D, Hazra T, Young HF. Intracerebral metastases in solid-tumor patients: natural history and results of treatment. Cancer 48(2), 384–394 (1981).
2. Jemal A, Siegel R, Ward E et al. Cancer statistics, 2008. CA Cancer J. Clin. 58(2), 71–96 (2008).
3. Kirsch DG, Loeffler JS. Brain metastases in patients with breast cancer: new horizons. Clin. Breast Cancer 6(2), 115–124 (2005).
4. Boogerd W, Vos VW, Hart AA, Baris G. Brain metastases in breast cancer: natural history, prognostic factors and outcome. J. Neurooncol. 15(2), 165–174 (1993).
5. Lin NU, Bellon JR, Winer EP. CNS metastases in breast cancer. J. Clin. Oncol. 22(17), 3608–3617 (2004).
6. Swain SM, Baselga J, Miles D et al. Incidence of central nervous system metastases in patients with HER2-positive metastatic breast cancer treated with pertuzumab, trastuzumab and docetaxel: results from the randomized Phase III study CLEOPATRA. Ann. Oncol. 25(6), 1116–1121 (2014).
7. Balduzzi S, Mantarro S, Guarneri V et al. Trastuzumab-containing regimens for metastatic breast cancer. Cochrane Database Syst. Rev. 6, CD006242 (2014).
8. Bendell JC, Domchek SM, Burstein HJ et al. Central nervous system metastases in women who receive trastuzumab-based therapy for metastatic breast carcinoma. Cancer 97(12), 2972–2977 (2003).
9. Lin NU, Claus E, Sohl J, Razzak AR, Arnaout A, Winer EP. Sites of distant recurrence and clinical outcomes in patients with metastatic triple-negative breast cancer: high incidence of central nervous system metastases. Cancer 113(10), 2638–2645 (2008).
10. Tham YL, Sexton K, Kramer R, Hilsenbeck S, Elledge R. Primary breast cancer phenotypes associated with propensity for central nervous system metastases. Cancer 107(4), 696–704 (2006).
11. Arslan UY, Oksuzoglu B, Aksoy S et al. Breast cancer subtypes and outcomes of central nervous system metastases. Breast 20(6), 562–567 (2011).
12. Harrell JC, Prat A, Parker JS et al. Genomic analysis identifies unique signatures predictive of brain, lung and liver relapse. Breast Cancer Res. Treat. 132(2), 523–535 (2012).
13. Anders CK, Deal AM, Miller CR et al. The prognostic contribution of clinical breast cancer subtype, age and race among patients with breast cancer brain metastases. Cancer 117(8), 1602–1611 (2011).
14. Sperduto PW, Berkey B, Gaspar LE, Mehta M, Curran W. A new prognostic index and comparison to three other indices for patients with brain metastases: an analysis of 1960 patients in the RTOG database. Int. J. Radiat. Oncol. Biol. Phys. 70(2), 510–514 (2008).
15. Gaspar L, Scott C, Rotman M et al. Recursive partitioning analysis (RPA) of prognostic factors in three Radiation Therapy Oncology Group (RTOG) brain metastases trials. Int. J. Radiat. Oncol. Biol. Phys. 37(4), 745–751 (1997).
16. Gaspar LE, Scott C, Murray K, Curran W. Validation of the RTOG recursive partitioning analysis (RPA) classification for brain metastases. Int. J. Radiat. Oncol. Biol. Phys. 47(4), 1001–1006 (2000).
17. Sperduto PW, Kased N, Roberge D et al. Summary report on the graded prognostic assessment: an accurate and facile diagnosis-specific tool to estimate survival for patients with brain metastases. J Clin. Oncol. 30(4), 419–425 (2012).
18. Sperduto PW, Kased N, Roberge D et al. The effect of tumor subtype on the time from primary diagnosis to development of brain metastases and survival in patients with breast cancer. J. Neurooncol. 112(3), 467–472 (2013).
19. Subbiah IM, Lei X, Weinberg JS et al. Validation and development of a modified breast graded prognostic assessment as a tool for survival in patients with breast cancer and brain metastases. J. Clin. Oncol. 33(20), 2239–2245 (2015).
20. Sperduto PW, Kased N, Roberge D et al. Effect of tumor subtype on survival and the graded prognostic assessment for patients with breast cancer and brain metastases. Int. J. Radiat. Oncol. Biol. Phys. 82(5), 2111–2117 (2012).
21. Serizawa T, Higuchi Y, Nagano O et al. A new grading system focusing on neurological outcomes for brain metastases treated with stereotactic radiosurgery: the modified basic score for brain metastases. J. Neurosurg. 121(Suppl.), 35–43 (2014).Medline,
22. Lorenzoni J, Devriendt D, Massager N et al. Radiosurgery for treatment of brain metastases: estimation of patient eligibility using three stratification systems. Int. J. Radiat. Oncol. Biol. Phys. 60(1), 218–224 (2004).
23. Barnholtz-Sloan JS, Yu C, Sloan AE et al. A nomogram for individualized estimation of survival among patients with brain metastasis. Neuro Oncol. 14(7), 910–918 (2012).
24. Lederman G, Wronski M, Fine M. Fractionated radiosurgery for brain metastases in 43 patients with breast carcinoma. Breast Cancer Res. Treat. 65(2), 145–154 (2001).
25. Nieder C, Marienhagen K, Astner ST, Molls M. Prognostic scores in brain metastases from breast cancer. BMC Cancer 9, 105 (2009).
26. Eichler AF, Kuter I, Ryan P, Schapira L, Younger J, Henson JW. Survival in patients with brain metastases from breast cancer: the importance of HER-2 status. Cancer 112(11), 2359–2367 (2008).
27. Firlik KS, Kondziolka D, Flickinger JC, Lunsford LD. Stereotactic radiosurgery for brain metastases from breast cancer. Ann. Surg. Oncol. 7(5), 333–338 (2000).
28. Matsunaga S, Shuto T, Kawahara N, Suenaga J, Inomori S, Fujino H. Gamma knife surgery for metastatic brain tumors from primary breast cancer: treatment indication based on number of tumors and breast cancer phenotype. J. Neurosurg. 113(Suppl.), 65–72 (2010).Medline,
29. Yamamura J, Masuda N, Yasojima H et al. Clinicopathological factors related to the prognosis of metastatic breast cancer patients after development of brain metastasis. Breast Care (Basel) 10(6), 387–392 (2015).
30. Jaboin JJ, Ferraro DJ, Dewees TA et al. Survival following Gamma Knife radiosurgery for brain metastasis from breast cancer. Radiat. Oncol. 8, 131 (2013).
31. Ramakrishna N, Temin S, Chandarlapaty S et al. Recommendations on disease management for patients with advanced human epidermal growth factor receptor 2-positive breast cancer and brain metastases: American Society of Clinical Oncology clinical practice guideline. J. Clin. Oncol. 32(19), 2100–2108 (2014).
32. Garrett MD, Wu CC, Yanagihara TK, Jani A, Wang TJ. Radiation therapy for the management of brain metastases. Am. J. Clin. Oncol. 39(4), 416–422 (2016).
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Aim: The number of breast cancer brain metastases is a prognostic clinical variable in the modified graded prognostic assessment (GPA) Index for breast cancer. Patients & methods: We retrospectively gathered data from 127 breast cancer patients who underwent radiation therapy for brain metastasis. Patients were stratified by both breast GPA and modified breast GPA scores, and survival was determined using the Kaplan–Meier curves and Cox proportional hazards model. Results & Conclusion: The Kaplan–Meier curve for patients under the breast GPA classification were not significant, but were significant under the modified breast GPA classification. The inclusion of number of brain metastases into the modified breast GPA index improved prognosis, thus validating the use of the modified breast GPA in prognosticating patient outcome.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer