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Keywords:

  • breast cancer;
  • radiation;
  • mastectomy;
  • trends;
  • population

Abstract

  1. Top of page
  2. Abstract
  3. INTRODUCTION
  4. MATERIALS AND METHODS
  5. RESULTS
  6. DISCUSSION
  7. FUNDING SOURCES
  8. REFERENCES

BACKGROUND:

Radiation therapy (RT) after breast-conserving surgery (BCS) is associated with a significant reduction in ipsilateral breast tumor recurrence and breast cancer mortality rates in patients with early stage breast cancer. The authors of this report sought to determine which patients with breast cancer do not receive RT after BCS in the United States.

METHODS:

The Surveillance, Epidemiology, and End Results registry was used to determine the rates of RT after BCS for women with stage I through III breast cancer in the United States from 1992 through 2007. A multivariate analysis was performed to identify independent predictors of omission of RT.

RESULTS:

In total, 294,254 patients with invasive, nonmetastatic breast cancer were identified who underwent surgery from 1992 through 2007. Most patients (57%) underwent BCS; among those, 21.1% did not receive RT after BCS. The omission of RT increased significantly from 1992 (15.5%) to 2007 (25%). The receipt of RT also decreased significantly for patients with increased cancer stage, age <55 years, high-grade tumors, large tumors, positive or untested lymph node status, African American or Hispanic race, and negative or unknown estrogen receptor status. Significant geographic variation was observed in the rates of RT after BCS.

CONCLUSIONS:

The omission of RT after BCS was more common in recent years, especially among women who had an increased risk of breast cancer recurrence. This trend represents a serious health care concern because of the potential increased risk of local recurrence and breast cancer mortality. Cancer 2012. © 2011 American Cancer Society.


INTRODUCTION

  1. Top of page
  2. Abstract
  3. INTRODUCTION
  4. MATERIALS AND METHODS
  5. RESULTS
  6. DISCUSSION
  7. FUNDING SOURCES
  8. REFERENCES

In 1990, the National Institutes of Health Consensus Development Conference recommended breast-conserving surgery (BCS) plus radiation therapy (RT) as the preferred treatment for stage I and II breast cancer.1 This recommendation was based on the results from randomized trials indicating equivalent overall survival rates for BCS plus RT and mastectomy.2, 3 Several randomized trials have demonstrated that local recurrence rates are significantly higher for patients who undergo BCS without RT.2, 4-9 The overview analysis from the Early Breast Cancer Trialists' Collaborative Group (EBCTCG) recently reported that breast cancer mortality rates also were significantly higher for patients who did not receive RT after BCS.10

The patterns of surgical treatment for stage I and II breast cancer changed after the National Institutes of Health Consensus Conference.11, 12 By using a population-based cancer registry, Lazovich et al reported a significant increase in BCS rates after 1990.12 In that study, the use of RT after BCS increased from 73.1% during 1983 to 1985 to 81.5% during 1990 to 1995. However, in a recent study using the Surveillance, Epidemiology, and End Results (SEER) registry, Freedman et al reported that the use of RT after BCS decreased significantly from 79.4% during 1988 to 66.4% in 2004; however, the factors associated with the omission of RT after BCS were not reported in their study.13

RT therapy may not be necessary for all patients after BCS, particularly those with favorable clinicopathologic characteristics, such as older age, low-grade tumors, small tumor size, positive estrogen receptor (ER) status, and negative axillary lymph nodes. Conversely, women with adverse patient and tumor characteristics may be harmed by the omission of RT. The objective of the current study was to determine which patients do not receive RT after BCS in the United States. If high-risk patients are not receiving RT after BCS, then strategies should be developed to ensure adequate local therapy for more patients.

MATERIALS AND METHODS

  1. Top of page
  2. Abstract
  3. INTRODUCTION
  4. MATERIALS AND METHODS
  5. RESULTS
  6. DISCUSSION
  7. FUNDING SOURCES
  8. REFERENCES

We used the SEER cancer registry database to examine trends in the surgical treatment of incident breast cancer.14 We determined the rates of mastectomy, BCS alone, and BCS plus RT between 1992 and 2007 among women with nonmetastatic, invasive breast cancer (stages I-III). In the SEER database, the treatment planned is recorded as the first course of treatment (http://training.seer.cancer.gov/treatment [Accessed April 11, 2011]). In the case of RT for women who receive chemotherapy, SEER codes treatment as RT recommended unknown, as delivered, or as RT. Before 1998, treatments were included within 4 months of diagnosis; however, after 1998, every treatment was included within 1 year if there was no disease recurrence or progression.

We included women who were between ages 18 years and 79 years at diagnosis with unilateral, invasive breast cancer. We excluded women who did not undergo mastectomy or BCS. We also excluded women with bilateral or unstaged breast cancer; with unknown tumor size, grade, or laterality; women who were tested for lymph node status with no results reported; unknown radiation status; and those who were diagnosed by death certificate or at autopsy or whose deaths were reported only by a nursing home. We limited our analysis to 14 SEER registries that had adequate information on all variables. The step-wise ascertainment of our study cohort is listed in Table 1.

Table 1. Stepwise Cohort Ascertainment
StepTotal No.No. of Cases Excluded (%)
  1. Abbreviations: BCS, breast-conserving surgery; SEER, Surveillance, Epidemiology and End Results.

Start: Female breast cancer cases diagnosed 1973-2007965,306 
After excluding cases diagnosed before 1992722,927242,379 (25.11)
After excluding patients aged <18 y or >79 y at diagnosis640,27082,657 (11.43)
After excluding in situ cases519,606120,664 (18.85)
After excluding stage IV cases496,08223,524 (4.53)
After excluding cases with unknown stage452,26343,819 (8.83)
After excluding cases diagnosed in nursing home, by autopsy, or on death certificate451,378885 (0.20)
After excluding cases with unknown tumor size447,3034075 (0.90)
After excluding cases with unknown node positivity442,5324771 (1.07)
After excluding cases from Alaska and Rural Georgia registries441,0581474 (0.33)
After excluding histologies other than SEER codes 8500, 8501, 8503, 8504, 8520-8524401,50939,549 (8.97)
After excluding cases with unknown grade367,59733,912 (8.45)
After excluding all surgeries other than BCS or mast362,3915206 (1.42)
After excluding cases from Kentucky348,48313,908 (3.84)
After excluding cases without microscopic confirmation348,4821 (0)
After excluding bilateral cases or those with unknown laterality348,46814 (0)
After excluding cases which were not a first primary300,36448,104 (13.80)
After excluding cases from Louisiana in 2005299,585779 (0.26)
After excluding cases with unknown radiation294,2545331 (1.78)
After excluding cases with unknown race (multivariate analysis)292,8781376 (0.47)

Trends in treatment rates over time were evaluated using the Cochran-Armitage test for trend. The null hypothesis tested is that there is no linear decrease in RT use over time. Multivariate logistic regression models were constructed to predict BCS versus mastectomy and BCS plus RT versus BCS alone while controlling for patient age, race, year of diagnosis, cancer stage, tumor size, tumor grade, ER status, lymph node status, histology, and registry. Model diagnostic tools included the Hosmer-Lemeshow goodness-of-fit test and classification15 (for classification tables, see Table 2).

Table 2. Classification Tables With Cutoff
 No. Predicted 
Actual01Percentage Correct
  • Abbreviations; BCS, breast-conserving surgery; RT, radiation therapy.

  • a

    Hosmer Lemeshow chi-square statistic, 32.71 (P ≤ .0001 [classification table with cutoff, P = .600]). Y = 0: mastectomy; Y = 1: BCS.

  • b

    Hosmer Lemeshow chi-square statistic, 46.69 (P ≤ .0001 [classification table with cutoff, P = .800]). Y = 0: no RT; Y = 1: RT.

Logistic regression model predicting BCSa
 Y=081,36244,63864.6
 Y=157,407114,75766.7
 Percentage correctly classified  65.8
Logistic regression model predicting RTb
 Y=024,15210,87668.9
 Y=154,55977,29158.6
 Percentage correctly classified  60.8

Survival was calculated in months from diagnosis to death. To determine cancer-specific survival, women who died of causes other than cancer were censored at the time of death. Kaplan-Meier techniques were used to compare unadjusted survival curves. Cox proportional hazards modeling was used to evaluate the impact of RT after BCS on survival while controlling for other factors, such as age, tumor characteristics, and geography.

We conducted a series of analyses to assess whether our analytic decisions impacted our final results. For example, we examined whether grouping patients with unknown RT as “no RT” or removing them from the analysis changed the results; we observed no differences in the results, so we excluded those patients with unknown radiation status. Likewise, we evaluated registries that were added to the SEER database in 2000 to ensure that care practice in these registries did not impact trend evaluation, and the results were similar with and without these registries included in the analysis.

RESULTS

  1. Top of page
  2. Abstract
  3. INTRODUCTION
  4. MATERIALS AND METHODS
  5. RESULTS
  6. DISCUSSION
  7. FUNDING SOURCES
  8. REFERENCES

We identified 294,254 patients with invasive, nonmetastatic breast cancer who underwent surgery from 1992 through 2007. Most patients (57%) underwent BCS, and 43% underwent mastectomy. Patient and tumor characteristics are listed in Table 3. In multivariate analysis, the use of BCS, compared with mastectomy, increased significantly for women with a recent year of diagnosis, early stage breast cancer, age <70 years, low-intermediate tumor grade, small tumor size, lymph node-negative or not tested status, nonlobular histology, non-Hispanic white or African American race, and ER-positive breast cancer (Table 4). We observed considerable geographic variation in BCS rates; Iowa had the lowest BCS rate (44.4%), and Connecticut had the highest rate (65.7%) (Table 5).

Table 3. Comparison of Mastectomy, Breast-Conserving Surgery (BCS) With Radiation Therapy (RT), and BCS Without RT
 Treatment Group, %
CharacteristicMastectomy n = 126,558BCS and RT, n = 132,342BCS Alone, n = 35,354a
  • Abbreviations: ER: estrogen receptor.

  • a

    Values in parenthesis indicate the proportion of patients who underwent BCS without RT.

Total percentage of patients434512 (21.1)
Patient age, y   
 18-395335.111.9 (25.3)
 40-5443.644.212.2 (21.6)
 55-694048.611.4 (19)
 ≥7044.24312.8 (22.9)
Stage   
 I29.957.612.6 (17.9)
 II52.235.512.3 (25.7)
 III83.910.95.2 (32.3)
Grade   
 Low-intermediate38.849.311.9 (19.4)
 High49.83812.2 (24.3)
Tumor size, cm   
 <129.75812.3 (17.5)
 1.0-1.932.95413.2 (19.6)
 2.0-4.953.634.611.8 (25.4)
 ≥5.084.210.45.4 (34.2)
Lobular histology   
 No41.746.112.2 (20.9)
 Yes50.438.710.9 (22)
Lymph node status   
 Negative35.95311.2 (17.4)
 Positive58.430.810.8 (26)
 Not tested22.942.235 (45.3)
Race   
 Non-Hispanic white41.44711.6 (19.8)
 African American45.239.115.7 (28.6)
 American Indian46.842.810.4 (19.5)
 Asian50.939.89.3 (18.9)
 Hispanic47.139.313.6 (25.7)
 Other/unknown40.635.823.7 (39.8)
ER status   
 Positive47.74012.3 (23.5)
 Negative40.848.111.1 (18.8)
 Unknown49.233.417.4 (34.3)
Year diagnosed   
 1992-199751.740.57.8 (16.1)
 1998-200242.345.412.3 (21.3)
 2003-200739.346.813.9 (22.9)
Table 4. Multivariate Predictors of Treatment
 BCS vs MastectomyBCS: RT vs No RT
VariableOR95% CIPOR95% CIP
  1. Abbreviations: BCS, breast-conserving surgery; CI, confidence interval; ER, estrogen receptor; OR, odds ratio; Ref, referent category; RT, radiation therapy.

Year diagnosed      
 1992-1997  Ref  Ref
 1998-20021.6401.604-1.677<.00010.6450.619-0.671<.0001
 2003-20071.8951.853-1.938<.00010.5350.514-0.557<.0001
Stage      
 I  Ref  Ref
 II0.8570.832-0.883<.00010.8060.768-0.846<.0001
 III0.4030.379-0.427<.00010.7270.652-0.812<.0001
Patient age, y      
 18-39  Ref  Ref
 40-541.2101.171-1.25<.00011.0941.037-1.153.001
 55-691.2101.171-1.251<.00011.2171.153-1.284<.0001
 ≥700.9120.88-0.944.00191.0611.001-1.124.045
Grade      
 Low-intermediate  Ref  Ref
 High0.8690.853-0.885<.00010.9080.881-0.935<.0001
Tumor size, cm      
 <1  Ref  Ref
 1.0-1.91.0321.009-1.056.0060.8480.820-0.877<.0001
 2.0-4.90.5560.540-0.572<.00010.7730.738-0.809<.0001
 ≥5.00.1810.171-0.19<.00010.6870.623-0.759<.0001
Lymph node status      
 Negative  Ref  Ref
 Positive0.6360.621-0.653<.00010.7770.744-0.810<.0001
 Not tested2.6302.506-2.760<.00010.2550.243-0.267<.0001
Any lobular history      
 No  Ref  Ref
 Yes0.6830.668-0.698<.00010.9740.939-1.010.150
Race      
 Non-Hispanic white  Ref  Ref
 African American1.0491.018,1.081.0020.8000.766-0.835<.0001
 Asian0.5500.533,0.568<.00011.0130.958-1.071.658
 Hispanic0.8460.822,0.871<.00010.9280.888-0.970.001
 American Indian0.8930.784-1.017.0870.9090.731-1.131.393
ER status      
 Positive  Ref  Ref
 Negative0.9570.937-0.979<.00010.8430.814-0.873<.0001
 Unknown0.7340.715-0.754<.00010.5010.482-0.521<.0001
Table 5. Geographic Variation in Treatment
 Percentage of Cases
RegistryMastectomyBCSBCSa
RTNo RT
  • Abbreviations: BCS, breast-conserving surgery; RT, radiation therapy.

  • a

    Among the patients who underwent BCS, the proportions that received RT or no RT are indicated.

  • b

    Includes all areas of California except for San Francisco-Oakland, Los Angeles, and San Jose-Monterey.

  • c

    Data were available only for patients who were diagnosed from 2000 through 2005.

  • d

    Cases from 2005 were excluded because of concerns about follow-up after Hurricane Katrina.

San Francisco-Oakland38.661.488.211.8
Connecticut34.365.769.930.1
Metropolitan Detroit46.853..280.419.6
Hawaii41.458.683.316.7
Iowa55.644.491.88.2
New Mexico46.953.177.622.4
Seattle41.358.791.98.1
Utah50,449.677.722.3
Metropolitan Atlanta43.756.377.922.1
San Jose-Monterey45.754.38713
Los Angeles42.757.369.530.5
Greater Californiab,c43.5778.821.2
Louisianac,d52.247.875.424.6
New Jerseyc36.463.671.728.3

Among the 167,696 patients treated with BCS, 21.1% did not receive RT after surgery (Table 3). On regression analysis, the use of RT decreased significantly for women who were diagnosed in recent years and for women with increased cancer stage, aged <55 years, high-grade tumors, large tumor size, lymph node-positive or not tested status, African American or Hispanic race, and ER-negative or ER-unknown breast cancer (Table 4). We observed considerable geographic variation in the omission of RT after BCS; Los Angeles had the highest rate (30.5%), whereas Seattle had the lowest rate (8.1%) (Table 5). However, we did not observe any association between mastectomy rates and the omission of RT. Although BCS use increased over the study period, the omission of RT after BCS increased significantly from 15.5% in 1992 to 25% in 2007 (P < .001). These trends were observed for all age groups, races, tumor sizes, and lymph node status (Fig. 1). We compared the trends for patients aged <70 years with those for patients aged ≥70 years and observed that the use of RT after BCS significantly decreased from 1992 to 2007 for both groups but especially for patients aged <70 years (Fig. 1, top left). On multivariate analysis, factors that were associated independently with the omission of RT were the same in both groups (data not shown). Because breast radiation for left-sided breast cancer has been associated with cardiac toxicity,16 we evaluated the use of RT after BCS for right-sided and left-sided breast cancer, and we did not identify any significant differences (data not shown).

thumbnail image

Figure 1. Trends in the receipt of radiation therapy (RT) after breast-conserving surgery (BCS) are illustrated according to (Top Left) patient age, (Top Right) patient race, (Bottom Left) tumor size, and (Bottom Right) lymph node status. P < .0001 for all groups (Cochran-Armitage test for trend). NH indicates non-Hispanic.

Download figure to PowerPoint

Multivariate models were used to assess the impact of BCS and RT use on breast cancer mortality rates after controlling for prognostic and regional factors (Table 6). In all models, BCS plus RT was associated with significantly improved breast cancer survival rates compared with mastectomy or BCS without RT (Fig. 2). Because most patients with ER-positive breast cancer receive endocrine treatment, we evaluated breast cancer mortality rates with RT based on ER status. The magnitude of the benefit was similar for women with ER-positive breast cancer (hazard ratio [HR], 0.693), ER-negative breast cancer (HR, 0.765), and breast cancer with unknown ER status (HR, 0.733). The association between treatment and mortality was maintained when women with tumors >5 cm were removed from the analysis, because such large tumors are a contraindication for BCS.

Table 6. Hazard of Mortalitya
   ER Status
 OverallPositiveNegativeUnknown
VariableHRPHRPHRPHRP
  • Abbreviations: BCS, breast-conserving surgery; ER, estrogen receptor; HR, hazard ratio; NA, not applicable; Ref, referent category; RT, radiation therapy.

  • a

    Multivariate analysis included Surveillance, Epidemiology, and End Results registry (results not shown). Patients with unknown RT status were excluded from the analysis.

Treatment        
 Mastectomy1.00Ref1.00Ref1.00Ref1.00Ref
 BCS no RT0.989.67621.036.3790.964.37980.962.5608
 BCS and RT0.722<.00010.693<.00010.765<.00010.733<.0001
Stage        
 I1.00Ref1.00Ref1.00Ref1.00Ref
 II1.361<.00011.378<.00011.357<.00011.421<.0001
 III2.342<.00012.353<.00012.349<.00012.434<.0001
Patient age, y        
 18-391.00Ref1.00Ref1.00Ref1.00Ref
 40-540.808<.00010.714<.00010.906.0070.75<.0001
 55-690.927.00280.845<.00011.014.72530.819.0032
 ≥701.14<.00011.055.18941.254<.00010.923.2852
ER status        
 Positive1.00Ref1.00Ref1.00Ref1.00Ref
 Negative1.926<.0001NANANANANANA
 Not tested1.26<.0001NANANANANANA
Lymph node status        
 Positive1.00Ref1.00Ref1.00Ref1.00Ref
 Negative0.434<.00010.444<.00010.442<.00010.43<.0001
 Not tested1.076.03051.196.00031.05.39880.947.4961
Grade        
 Low-intermediate1.00Ref1.00Ref1.00Ref1.00Ref
 High1.859<.00011.999<.00011.354<.00012.088<.0001
Tumor size, cm        
 <1.01.00Ref1.00Ref1.00Ref1.00Ref
 1-1.91.678<.00011.612<.00011.644<.00011.913<.0001
 2.0-4.92.824<.00012.922<.00012.455<.00013.182<.0001
 ≥5.03.404<.00013.552<.00012.85<.00014.235<.0001
Lobular histology        
 No1.00Ref1.00Ref1.00Ref1.00Ref
 Yes0.869<.00010.897.00030.953.38360.785.0003
Race        
 Non-Hispanic white1.00Ref1.00Ref1.00Ref1.00Ref
 African1.512<.00011.513<.00011.415<.00011.657<.0001
 American Indian1.531<.00011.531.00371.569.00250.969.9382
 Hispanic1.088.00191.074.08561.098.02911.028.6731
 Asian0.866<.00010.95.27030.787<.00010.775.0076
Year diagnosed        
 1992-19961.00Ref1.00Ref1.00Ref1.00Ref
 1997-20000.817<.00010.786<.00010.876<.00010.816<.0001
 2001-20050.742<.00010.691<.00010.836<.00010.711<.0001
thumbnail image

Figure 2. These Kaplan-Meier survival curves illustrate (Top) overall survival and (Bottom) cancer-specific survival according to treatment received (P > .001 for both). BCS indicates breast-conserving surgery; RT, radiation therapy.

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When the analysis was controlled for treatment, mortality was significantly higher for women with large tumors, ER-negative breast cancer, lymph node metastases, and higher grade tumors. Women between ages 40 years and 69 years had lower mortality rates than women who were aged <40 years or >70 years at diagnosis. After controlling for other factors, Asian race was associated with the lowest mortality rate. Mortality decreased in the recent years of our study period. We also evaluated potential measures of quality of care, including failure to assess ER status or to evaluate lymph node status, and both were associated significantly with increased mortality. Within ER categories (positive, negative and unknown), similar patterns were observed, suggesting that ER status is an independent factor that does not change the relative influence of other variables in our model.

DISCUSSION

  1. Top of page
  2. Abstract
  3. INTRODUCTION
  4. MATERIALS AND METHODS
  5. RESULTS
  6. DISCUSSION
  7. FUNDING SOURCES
  8. REFERENCES

In this population-based study, we observed important changes in the treatment of nonmetastatic breast cancer in the United States from 1992 to 2007. Although the rates of BCS increased substantially, the receipt of RT after BCS decreased markedly. This trend was not limited to patients who had a low risk of recurrence after BCS. On the contrary, the omission of RT after BCS increased significantly for women who had increased cancer stage, young age, high-grade tumors, large tumors, lymph node-positive or not tested status, African American or Hispanic race, and negative or unknown ER status. Other investigators have reported that the omission of RT after BCS is associated with older age,17, 18 African American race,17-19 Hispanic race,19 Medicaid insurance coverage,19 widowed or never married status,20 patient comorbidities,18 inner quadrant tumor location,21 lymph node metastases,21 negative or unknown ER status,22 and larger tumor size.23

We observed considerable variation in the use of RT after BCS across geographic areas. Other investigators also have reported significant geographic variation in the use of BCS and RT.24, 25 Nattinger et al reported that women who resided ≥40 miles from a hospital with a radiation therapy center were less likely to receive BCS.25 We did not observe any association between mastectomy rates and omission of RT. Thus, although it is possible that areas with high mastectomy rates offer less comprehensive care for BCS recipients, we were unable to detect this pattern at the SEER registry level.

Declining rates of RT after BCS ultimately may forecast increased local recurrence rates after BCS. Several randomized trials have demonstrated that local recurrence rates are significantly higher if RT is omitted after BCS.2, 4-9 In a recent meta-analysis, the EBCTCG estimated that the absolute 5-year local recurrence risk is 19% lower for women who receive RT after BCS, and the absolute benefit was greater in younger women.10 In our population-based analysis, we observed that the group of women who are most likely to benefit from RT is the same group that had significantly lower rates of RT. Because of these trends, more women may require mastectomy or additional systemic therapy to treat local recurrences of breast cancer.

Although individual randomized trials have not demonstrated a survival difference between BCS alone and BCS plus RT, the EBCTCG analysis demonstrated a significantly increased risk of death from breast cancer for patients who did not receive RT (BCS plus RT alone, 30.5%; BCS alone, 35.9%).10 Moreover, other nonrandomized studies have demonstrated similar findings.18, 20 The results from our population-based study are consistent with the ECTCG study. Indeed, our study indicated that increased mortality rates with the omission of RT were observed for all patients regardless of ER status. Because of the trends reported here, breast cancer mortality rates may increase in the future.

It is noteworthy that, in contrast to the findings from randomized trials, we observed that the adjusted breast cancer mortality rates for women who received RT after BCS were significantly lower than the rates for women who underwent mastectomy. This pattern was maintained when women with the largest tumors were removed from analysis. Although selection bias partially may explain our results, an alternative hypothesis is that women who receive RT after BCS may receive improved multidisciplinary cancer care. This disparity would be less likely to occur in a controlled randomized trial. For women to receive both RT and BCS, referral to at least 1 oncology specialist is required. In contrast, women who receive BCS alone or who undergo mastectomy alone may not necessarily be evaluated by a medical or radiation oncologist. Consequently, women who are evaluated by breast cancer specialists are more likely to receive endocrine therapy or systemic chemotherapy, which reduces mortality rates for all stages of breast cancer compared with no systemic therapy. Thus, the improved survival rate associated with RT may reflect more comprehensive breast cancer care. In our study, women who received RT after BCS were more likely to have known ER status and lymph nodes evaluated, again consistent with a quality-of-care hypothesis. Unfortunately, SEER does not contain information of evaluation by a medical oncologists or the use of endocrine or systemic chemotherapy to allow direct testing of this hypothesis.

The reasons for the increased omission of RT after BCS, particularly among high-risk patients, are unclear. The daily requirement of RT for about 6 weeks likely contributes to the observed trends. Transportation may be difficult for some patients and particularly for elderly women, employed women, and those who live in rural locations. Also, because of the complex multidisciplinary nature of modern breast cancer treatment, “handoffs” between surgeons, medical oncologists, and radiation oncologists may not occur smoothly, particularly among nonaffiliated physicians and institutions. Finally, some patients may overestimate the frequency and severity of side effects during and after RT.

The independent association between unfavorable tumor characteristics (large tumor size, lymph node metastases) and omission of RT is counterintuitive. Given the lack of data, we can only speculate on this observation. We hypothesize that this effect may be secondary to fumbled handoffs between cancer treatment providers. Patients with favorable tumor characteristics who do not require adjuvant chemotherapy undergo surgery and are referred for RT within a few weeks. Conversely, patients with unfavorable tumor characteristics undergo surgery followed by several months of chemotherapy and are then referred for RT. Perhaps this increased time interval between surgery and RT accounts for this observation among patients who have unfavorable tumor characteristics. Also, patients may confuse the goals of chemotherapy with those of RT (“I just had 4 months of chemotherapy: Why do I need RT too?”). Finally, patients may develop cancer treatment fatigue after surgery and several months of chemotherapy and may decide to forgo RT.

Several strategies have been used to enhance the appropriate delivery of RT after BCS for more patients. The web-based program IBTR! version 2.0 (available at: http://160.109.101.132/ibtr/ [Accessed April 11, 2011]) provides quantitative estimates of the risk of local recurrence with and without RT after BCS.26 These decision aids may give patients and providers more useful information on the benefits of RT after BCS. Patient navigators can be used to assist patients through the complex maze of multidisciplinary breast cancer, especially for patients with unfavorable tumor characteristics who require several months of adjuvant chemotherapy before initiating RT. Because African American race is associated significantly with the omission of RT, this population should be especially targeted to prevent inadequate treatment. Other innovative strategies have been initiated to reduce the likelihood of fumbled handoffs between different breast cancer specialists in nonaffiliated clinics. Bickell et al recently described a prospective tracking system to ensure multidisciplinary care for more breast cancer patients in New York City.27 Because we observed significant geographic variation in the rates of radiation therapy after BCS, improved resource allocation and distribution may be necessary.

Several studies currently are evaluating novel fractionation schemes and treatment techniques to allow faster and safer RT delivery. The National Surgical Adjuvant Breast and Bowel Project B39/Radiation Therapy Oncology Group 0413 protocol is a phase 3 randomized trial comparing conventional whole-breast RT with partial breast irradiation (PBI). In that study, PBI includes high-dose-rate, multicatheter brachytherapy; high-dose-rate, single-catheter balloon brachytherapy (MammoSite, Hologic, Inc., Bedford, Mass); or 3-dimensional, conformal, external-beam RT. In a recently published analysis using the SEER registry, Abbott et al reported that the use of balloon catheter brachytherapy increased by 1600% from 2000 to 2007 in the United States.28 Targeted intraoperative partial-breast RT is another innovative strategy that delivers a single fraction of RT to the tumor site at the time of BCS.29 Finally, accelerated hypofractionated RT delivered over 3 weeks represents an attractive alternative to whole-breast RT after BCS. In a prospective randomized trial, Whelan et al reported that local recurrence rates at 10 years were not significantly different between accelerated, hypofractionated whole-breast RT and standard RT.30

Because our study used cancer registry data from SEER, detailed patient and tumor information that may have influenced treatment were not available. Important factors regarding family history, genetic testing results, human epidermal growth factor receptor (Her2/neu) status, patient comorbidities, receipt of systemic chemotherapy, tumor margin status, and mammographic findings were not available to us. In addition, information regarding endocrine treatment is not reported by SEER. Our assessments fit points to variance that were not fully explained by the factors included in our model. Several of these are discussed above, and we expect that, with a richer array of variables, we would be able to more accurately predict the use of BCS and RT. However, we have no reason to worry that our models are unstable or that our results are invalid. Despite the potential limitations of our study, SEER includes large numbers of patients from diverse locations and practices in the United States.

The omission of RT after BCS represents a serious health care concern because of the potential increased risk of local recurrence and breast cancer mortality. Nevertheless, many registries in diverse areas of the United States deliver adequate local breast cancer therapy to a high proportion of women. If the trend of declining use of RT is to be reversed, then strategies must be developed and implemented to correct these deficiencies.

FUNDING SOURCES

  1. Top of page
  2. Abstract
  3. INTRODUCTION
  4. MATERIALS AND METHODS
  5. RESULTS
  6. DISCUSSION
  7. FUNDING SOURCES
  8. REFERENCES

No specific funding was disclosed.

CONFLICT OF INTEREST DISCLOSURES

The authors made no disclosures.

REFERENCES

  1. Top of page
  2. Abstract
  3. INTRODUCTION
  4. MATERIALS AND METHODS
  5. RESULTS
  6. DISCUSSION
  7. FUNDING SOURCES
  8. REFERENCES
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