Literature DB >> 28008263

Clinical features of brain metastases in breast cancer: an implication for hippocampal-sparing whole-brain radiation therapy.

San-Gang Wu1, Jia-Yuan Sun2, Qin Tong3, Feng-Yan Li2, Zhen-Yu He2.   

Abstract

OBJECTIVE: The objectives of this study were to describe the distribution of brain metastases (BM) in breast cancer patients and investigate the risk factors for perihippocampal metastases (PHM). PATIENTS AND METHODS: Retrospective analysis of the clinicopathological characteristics and patterns of BM was performed. Associations between clinicopathological characteristics and PHM (the hippocampus plus 5 mm margin) were evaluated using logistic regression analyses.
RESULTS: A total of 1,356 brain metastatic lesions were identified in 192 patients. Patients with 1-3 BM, 4-9 BM, and ≥10 BM accounted for 63.0%, 18.8%, and 18.2%, respectively. There were only 7 (3.6%) patients with hippocampal metastases (HM) and 14 (7.3%) patients with PHM. On logistic regression, the number of BM was an independent risk factor for PHM. Patients with ≥10 BM had a significantly higher risk of PHM compared with those with <10 BM. Breast cancer subtype (BCS) was not associated with PHM. The number of BM was significantly correlated with various BCSs. Patients with hormone receptor (HR)+/human epidermal growth factor receptor 2 (HER2)+, HR-/HER2+, and HR-/HER2- subtypes had a higher probability of ≥10 BM, relative to patients with an HR+/HER2- subtype.
CONCLUSION: Our study suggests that a low incidence of PHM may be acceptable to perform hippocampal-sparing whole-brain radiation therapy for breast cancer patients. Patients with extensive diffuse metastases (≥10 BM) were associated with higher odds of PHM.

Entities:  

Keywords:  brain metastasis; breast cancer; hippocampal metastases; whole-brain radiation therapy

Year:  2016        PMID: 28008263      PMCID: PMC5167295          DOI: 10.2147/TCRM.S124212

Source DB:  PubMed          Journal:  Ther Clin Risk Manag        ISSN: 1176-6336            Impact factor:   2.423


Introduction

With the development of comprehensive therapy and advances in the diagnostic imaging of breast cancer, brain metastases (BM) have been documented in approximately one-quarter of breast cancer patients.1 Whole-brain radiation therapy (WBRT) remains the main treatment for patients with four or more BM in breast cancer. For patients with oligometastatic disease (defined as 1–3 BM), stereotactic radiosurgery (SRS) with or without WBRT should be considered for local disease control and symptomatic palliation. Existing studies recommend delaying WBRT to prevent neurocognitive decline secondary to the observation of no benefit in the overall survival.2,3 The median overall survival time for breast cancer patients with BM treated with WBRT or SRS was 4–6 months and up to 16 months if solitary BM could be removed surgically.4,5 WBRT is associated with a range of toxicities, including significant deterioration in neurocognitive function and quality of life (QoL).6,7 The hippocampus is sensitive to radiation. The main clinical manifestation of the hippocampal injury secondary to radiotherapy was cognitive decline.8,9 Previous studies have reported that intracranial metastases of malignant tumors occurred rarely in the hippocampus relative to other anatomical brain locations.10–14 These studies provided evidence supporting hippocampal-sparing whole-brain radiation therapy (HS-WBRT).10–14 In a study by the Radiation Therapy Oncology Group (RTOG) 0933, HS-WBRT was reported as being protective against adverse neurocognitive outcomes and was associated with an improved QoL in patients. However, this study was limited by a small sample size of breast cancer patients.15 In a previous study, we reported a potential increase in hippocampal metastases (HM) and perihippocampal metastases (PHM) in breast cancer patients (n=56), relative to other malignant tumors.11 In this study, we collected data from two academic cancer centers for further analysis of HM and PHM in breast cancer patients to investigate potential risk factors for PHM.

Patients and methods

Breast cancer patients diagnosed with BM at the time of initial diagnosis or during the follow-up were retrospectively analyzed in the Sun Yat-sen University Cancer Center (SYSUCC) and the First Affiliated Hospital of Xiamen University (Xiamen Cancer Hospital [XMCH]) from January 1997 to September 2015. All study patients underwent magnetic resonance imaging (MRI) including T1-weighted, post-contrast, axial MRI image data at the time of BM occurrence. Patients with malignant tumors prior to breast cancer diagnosis and patients diagnosed with a secondary malignant tumor during follow-up were excluded from the analysis. All patients provided written consent for storage of their medical information in the hospital database and for use of their data in research including publication of that research. The study was approved by the ethics committee of the SYSUCC and the XMCH. The hippocampus was delineated using enhanced, T1-weighted MRI according to the RTOG 0933 reference.15 The perihippocampal region was defined as a 5-mm margin around the hippocampus, accounting for measurement error and possible displacement following radiotherapy.14,16 Clinicopathological characteristics, including age, menopausal status, local treatment, tumor–node–metastasis (TNM) stage, estrogen receptor (ER) status, progesterone receptor (PR) status, human epidermal growth factor receptor 2 (HER2) status, breast cancer subtypes (BCSs), Ki-67 status, and the number of BM, were identified as potential risk factors for PHM. Hormone receptor (HR) positive status was defined as >1% ER or PR positive cells on immunohistochemistry. HER2 positivity was defined as an immunohistochemical grade of 3+ (in samples predating 2003) and an immunohistochemical grade of 3+ or 2+ using fluorescence in situ hybridization (FISH) on samples taken from 2003 onward. We did not define BCS of breast caner according to the St Gallen recommendation due to insufficient Ki-67 data.17 We defined four major groups of intrinsic BCS as follows: HR+/HER2− (ER+ and/or PR+, HER2−), HR+/HER2+ (ER+ and/or PR+, HER2+), HR−/HER2+ (ER−, PR−, and HER2+), and HR−/HER2− (ER−, PR−, and HER2−, triple negative breast cancer [TNBC]).18,19 The χ2 and Fisher’s exact tests were used to analyze group differences in categorical data. Univariable and multivariable binary logistic regression analyses were used to investigate clinicopathologic predictors of PHM. For all analyses, a P-value <0.05 was considered significant. All analyses were conducted using the SPSS statistical software package (version 16.0; SPSS Inc., Chicago, IL, USA).

Results

Clinicopathological characteristics

A total of 192 patients were identified for the analysis, including 136 (70.8%) patients from the SYSUCC and 56 (29.2%) patients from the XMCH. The median age at diagnosis of breast cancer was 46.0 years (range, 22–77 years). Thirty-six (18.7%) patients were initially diagnosed with M1 stage disease. Thirty of these M1 stage patients had not received surgical treatment. A total of 136 (70.8%) patients had extracranial metastatic disease. Of the available 166 patients with BCS, there were 26 (15.7%), 73 (44.0%), 25 (15.1%), and 42 (25.3%) patients with HR+/HER2−, HR+/HER2+, HR−/HER2+, and HR−/HER2− subtypes, respectively. Patient clinicopathological characteristics are summarized in Table 1.
Table 1

Clinicopathological characteristics

Characteristicsn (%)SYSUCC (%)XMCH (%)
Age (years)
 <50122 (63.5)88 (64.7)34 (60.7)
 ≥5070 (36.5)48 (35.3)22 (39.3)
Menopausal status
 Premenopausal81 (42.2)45 (33.1)36 (64.3)
 Postmenopausal111 (57.8)91 (66.9)20 (35.7)
Surgical treatment
 Breast conserving surgery9 (4.7)9 (6.6)0 (0)
 Mastectomy153 (79.7)105 (77.2)48 (85.7)
 None30 (15.6)22 (16.2)8 (14.3)
Tumor stage
 T153 (27.6)43 (31.6)10 (17.9)
 T299 (51.6)65 (47.8)34 (60.7)
 T323 (12.0)15 (11.0)8 (14.3)
 T417 (8.8)13 (9.6)4 (7.1)
Nodal stage
 N047 (24.5)36 (26.5)11 (19.6)
 N161 (31.8)40 (29.4)21 (37.5)
 N245 (23.4)31 (22.8)14 (25.0)
 N339 (20.3)29 (21.3)10 (17.9)
Metastasis stage
 M0156 (81.3)109 (80.1)47 (83.9)
 M136 (18.7)27 (19.9)9 (16.1)
ER status (n=167)
 Negative83 (49.7)65 (54.6)18 (37.5)
 Positive84 (50.3)54 (45.4)30 (62.5)
PR status (n=167)
 Negative86 (51.5)65 (54.6)21 (43.8)
 Positive81 (48.5)54 (45.4)27 (56.2)
HER2+ (n=166)
 Negative103 (62.0)75 (63.0)28 (59.6)
 Positive63 (38.0)44 (37.0)19 (40.4)
Ki-67 (n=92)
 ≤20%+37 (40.2)30 (45.5)7 (26.9)
 >20%+55 (59.8)36 (54.5)19 (73.1)
BCS (n=166)
 HR+/HER2−26 (15.7)18 (15.1)8 (17.0)
 HR+/HER2+73 (44.0)49 (41.2)24 (51.1)
 HR−/HER2+25 (15.1)20 (16.8)5 (10.6)
 HR−/HER2−42 (25.3)32 (26.9)10 (21.3)
Number of BM (n)
 1–3121 (63.0)93 (68.4)28 (50.0)
 4–936 (18.8)23 (16.9)13 (23.2)
 ≥1035 (18.2)20 (14.7)15 (26.8)

Abbreviations: BCS, breast cancer subtype; BM, brain metastases; ER, estrogen receptor; HER2, human epidermal growth factor receptor 2; HR, hormone receptor; PR, progesterone receptor; SYSUCC, Sun Yat-sen University Cancer Center; XMCH, Xiamen Cancer Hospital.

Distribution of BM

A total of 1,356 brain metastatic lesions were identified across the 192 patients. The median number of BM lesions was 2 (range, 1–198). The most frequent anatomical locations of BM included the frontal lobe (29.3%, 397/1,356), cerebellum (26.0%, 353/1,356), parietal lobe (16.9%, 229/1,356), occipital lobe (12.7%, 172/1,356), temporal lobe (10.5%, 142/1,356), and brainstem (4.1%, 56/1,356; Table 2). There were 121 (63.0%), 36 (18.8%), and 35 (18.2%) patients with 1–3 BM, 4–9 BM, and ≥10 BM, respectively. Of all patients, only 7 (3.6%, 7/192) and 14 (7.3%, 14/192) patients had HM and PHM, respectively.
Table 2

The distribution of BM by location

Locationn (%)
Parietal lobe229 (16.9)
Frontal lobe397 (29.3)
Temporal lobea142 (10.5)
Occipital lobe172 (12.7)
Cerebellum353 (26.0)
Brainstem56 (4.1)
Hippocampus7 (0.5)
Total1,356

Note:

Exclusion of metastases involved in hippocampus.

Abbreviation: BM, brain metastases.

Risk factors for PHM

Logistic regression analyses for PHM were performed with the following variables: age at BM (<50 years vs ≥50 years; <60 years vs ≥60 years), local treatment, menopausal status, tumor size, nodal status, BCS, Ki-67 status, and the number of BM. On univariate logistic regression, the number of BM was associated with PHM. In multivariable analysis, the number of BM was the independent risk factor for PHM (Table 3). Patients with BM ≥10 was associated with 9.919 times the odds of PHM (odds ratio [OR] 9.919, 95% confidence interval [CI] 2.388–41.179, P=0.002) relative to those with 1–3 BM. There was no difference in the odds of PHM in patients with 4–9 BM compared to 1–3 BM. Age, menopausal status, surgical treatment, TNM stage, HR status, HER2 status, BCS, and Ki-67 status were not associated with PHM.
Table 3

Univariate and multivariable analyses’ risk factors for HM and PHM

Number of BM (n)PHM
OR95% CIP-value
Univariate
 1–31
 4–93.5760.689–18.5480.129
 ≥1011.6542.899–46.8480.001
Multivariable
 1–31
 4–93.7780.721–19.7810.116
 ≥109.9192.388–41.1790.002

Abbreviations: BM, brain metastases; CI, confidence interval; HM, hippocampal metastases; OR, odds ratio; PHM, perihippocampal metastases.

Association between BCS and the number of BM

The number of BM was significantly correlated with various BCSs (Table 4). Patients with HR+/HER2+, HR−/HER2+, and HR−/HER2− subtypes had a higher probability of ≥10 BM, which was significantly higher than patients with HR+/HER2− subtype (P=0.011).
Table 4

The association of BCS and the number of BM

Number of BM (n)HR+/HER2−HR+/HER2+HR−/HER2+HR−/HER2−P-value
1–315 (57.7)48 (65.8)16 (64.0)26 (61.9)0.011
4–910 (38.5)14 (19.2)3 (12.0)3 (7.1)
≥101 (3.8)11 (15.1)6 (24.0)13 (31.0)

Abbreviations: BCS, breast cancer subtype; BM, brain metastases; HER2, human epidermal growth factor receptor 2; HR, hormone receptor.

Discussion

Studies on the application of HS-WBRT in specific subtypes of malignant tumors are limited.10,14,20,21 In this study, we investigated the distribution of BM in breast cancer patients. Our results showed that HM and PHM occurred rarely in breast cancer patients, which was consistent with similar results in other studies.10–14 We also found that the number of BM was an independent risk factor for PHM and that BCS was not correlated with PHM. Our previous single center study of 56 breast cancer patients observed an increase in risk of PHM relative to patients with other types of cancers, although the association was not statistically significant (P=0.084).11 In this study, we identified patients from two cancer centers, and the probabilities of HM (3.6%) and PHM (7.3%) were not significantly higher than the previous results (4.1% of patients developed HM and 5.5% of patients developed PHM in our previous study).11 In a previous study of 314 Chinese patients, the percentages of HM and PHM were 4.1% and 11.1%, respectively.10 In other studies, HM has been reported to be between 0 and 1.3% of total BM.12–14 The increase in the absolute risk of hippocampal recurrence with HS-WBRT was ~2%, which was considered acceptable.10 The majority of breast cancer patients with BM also have extracranial metastatic disease. Palliative treatment was the main therapy strategy for advanced breast cancer. A decrease in cognitive function has previously been observed in breast cancer patients receiving chemotherapy.22 This was related to a reduction in hippocampal volume and verbal memory performance.23 Therefore, a combination of WBRT and systemic chemotherapy may increase the risk of cognitive function decline in breast cancer patients with BM. However, there are no studies formally assessing the clinical value of HS-WBRT in breast cancer patients. BCSs have previously been reported as being associated with distinct patterns of distant metastases in breast cancer. We found that the patients with the HR−/HER2− subtype were more likely to develop BM in our previous study.24 In this study, significant differences in the number of BM were observed across the different BCSs. The proportion of patients with >10 BM were higher in the HER2+ and TNBC groups relative to HR+/HER2patients. In addition, patients with >10 HM had a significantly increased risk of PHM, although no association was found between BCS and PHM. In a study by Witt et al,25 73 patients with HER2+ subtype developed BM. The proportion of patients with HM and PHM were 6.8% (5/73) and 15.1% (11/73), respectively, the highest such proportions reported in the recent literature. Sun et al10 also found no correlation between BCS and PHM. Therefore, even though there was a relationship between BCS and the number of BM, BCS may not be the definitive factor in determining the implementation of HS-WBRT in breast cancer patients. Knowledge around risk factors for PHM remains limited. Sun et al reported that only the number of BM was associated with PHM. Patients with more than 4 BM had significantly increased probability of PHM (OR 3.45 for 4–9 BM vs 1–3 BM, OR 10.50 for ≥10 BM vs 1–3 BM).10 In a study based on the small cell lung cancer, there was a potential association between the number of BM and HM risk, although this relationship was not significant (OR 1.4, P=0.09).21 The RTOG 0933 study excluded all patients with >10 BM due to diffuse distribution.26 In our study, the odds of PHM increased significantly in patients with >10 BM. The results of these studies suggest that a higher number of BM have a higher risk of PHM. In addition, we were unable to obtain accurate data of the number of BM and the time of PHM in the final stage of BM. Therefore, HS-WBRT may be not feasible in patients with a higher number of BM due to the potential risk of hippocampal recurrence. There are currently no studies that assess the effects of HS-WBRT on breast cancer, and the benefits of HS-WBRT have not yet been validated. Given the low frequency of metastases within the hippocampus, the hippocampus could potentially be defined as a dose-limiting structure for WBRT. Dosimetric results suggest that it is now technically feasible to implement HS-WBRT.15,16,27 There are several limitations in our study that should be considered. First is the retrospective design, which is associated with selection bias. Second, BM was not the first site of distant metastases in most patients. Palliative therapies, including chemotherapy, targeting therapy, and endocrine therapy, may potentially impact on the patterns of BM. In addition, we did not collect data on HM and PHM following WBRT.

Conclusion

We observed a low incidence of HM and PHM in breast cancer patients with BM. A low incidence of PHM may be acceptable to perform HS-WBRT for breast cancer patients. Patients with extensive diffuse metastases (≥10 BM) were associated with higher odds of PHM.
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