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Journal of Clinical Oncology logoLink to Journal of Clinical Oncology
. 2012 Jan 17;30(6):600–607. doi: 10.1200/JCO.2011.36.4976

Evaluation of a Breast Cancer Nomogram for Predicting Risk of Ipsilateral Breast Tumor Recurrences in Patients With Ductal Carcinoma in Situ After Local Excision

Min Yi 1, Funda Meric-Bernstam 1, Henry M Kuerer 1, Elizabeth A Mittendorf 1, Isabelle Bedrosian 1, Anthony Lucci 1, Rosa F Hwang 1, Jaime R Crow 1, Sheng Luo 1, Kelly K Hunt 1,
PMCID: PMC3295558  PMID: 22253459

Abstract

Purpose

Prediction of patients at highest risk for ipsilateral breast tumor recurrence (IBTR) after local excision of ductal carcinoma in situ (DCIS) remains a clinical concern. The aim of our study was to evaluate a published nomogram from Memorial Sloan-Kettering Cancer Center to predict for risk of IBTR in patients with DCIS from our institution.

Patients and Methods

We retrospectively identified 794 patients with a diagnosis of DCIS who had undergone local excision from 1990 through 2007 at the MD Anderson Cancer Center (MDACC). Clinicopathologic factors and the performance of the Memorial Sloan-Kettering Cancer Center nomogram for prediction of IBTR were assessed for 734 patients who had complete data.

Results

There was a marked difference with respect to tumor grade, prevalence of necrosis, initial presentation, final margins, and receipt of endocrine therapy between the two cohorts. The biggest difference was that more patients received radiation in the MDACC cohort (75% at MDACC v 49% at MSKCC; P < .001). Follow-up time in the MDACC cohort was longer than in the MSKCC cohort (median 7.1 years v 5.6 years), and the recurrence rate was lower in the MDACC cohort (7.9% v 11%). The median 5-year probability of recurrence was 5%, and the median 10-year probability of recurrence was 7%. The nomogram for prediction of 5- and 10-year IBTR probabilities demonstrated imperfect calibration and discrimination, with a concordance index of 0.63.

Conclusion

Predictive models for IBTR in patients with DCIS who were treated with local excision are imperfect. Our current ability to accurately predict recurrence on the basis of clinical parameters alone is limited.

INTRODUCTION

Breast-conserving therapy has become the most common treatment for patients with ductal carcinoma in situ (DCIS) in the United States.1 Both mastectomy and local excision with radiation therapy (RT) have been shown to be effective therapeutic approaches for the local management of patients with DCIS.2 A randomized, controlled trial comparing mastectomy with local excision and RT has not been performed, but current data demonstrate similar long-term survival times with either approach. Mastectomy can reduce the risk of local treatment failure to as low as 1% to 2% at 5 years. Local excision with postoperative RT has been associated with local treatment failure rates of approximately 5% to 10% at 5 years3; however, despite this higher treatment failure rate, many clinicians and patients prefer breast conservation, because there is no difference in long-term survival.

An international survey of more than 1,000 physicians who treat breast cancer revealed marked differences in opinions and practice patterns in the management of DCIS.4 Four large, prospective, randomized trials have all shown a highly significant reduction in the incidence of ipsilateral breast tumor recurrence (IBTR), ranging from 47% to 67%, with the administration of RT after local excision.3,58 However, the need to commit all patients to RT is controversial, and some physicians are less likely to recommend RT4 or tamoxifen treatment9 for patients with DCIS.

Recently, investigators at the Memorial Sloan-Kettering Cancer Center (MSKCC) identified 10 independent predictors of IBTR in patients with DCIS by multivariate analysis: age at diagnosis, family history of breast cancer, presentation (clinical v radiologic), adjuvant radiation therapy, adjuvant endocrine therapy, nuclear grade, necrosis, surgical margins, number of surgical excisions, and year of surgery.10 These predictors were combined in a nomogram to identify the individual risk of a patient who had DCIS for recurrence after local excision. The output of the nomogram is the predicted probability of recurrence at 5 and 10 years and can be calculated via the MSKCC Web site (http://www.mskcc.org/applications/nomograms/breast/DuctalCarcinomaInSituRecurrencePage.aspx). The nomogram was based on a data set from 1,681 patients and was internally validated by using 200 bootstrap samples.10 It has not been validated by the MSKCC investigators in an independent cohort or externally validated by other institutions. The aim of our study was to evaluate the nomogram by using a large, external, and independent cancer center database.

PATIENTS AND METHODS

Patient Selection and Data Collection

Patients with a final diagnosis of DCIS who underwent local excision from January 1990 through December 2007 were indentified from our database. Patients with follow-up time less than 1 year were excluded. The MD Anderson Cancer Center (MDACC) institutional review board approved this study. We extracted demographic, pathologic, clinical, and follow-up data. Age was recorded as a continuous variable. Family history of breast cancer was considered positive if either first- or second-degree relatives had diagnoses of breast cancer. Nuclear grade was defined as low or intermediate/high. Necrosis was defined as present or absent. Margin width was classified as positive, close (< 2 mm), or negative; if re-excision was performed, the margin was scored as negative if there was no residual disease in the re-excision specimen. Presentation was classified as clinical (DCIS detected by palpable mass or nipple discharge) or radiologic (DCIS detected through routine imaging). All the MSKCC variables with definition are included in our study except variable-time period of treatment and variable-architecture. Variable-time period of treatment was dichotomized into two 9-year (v 8-year for MSKCC data) intervals (ie, 1990 to 1998 and 1999 to 2007). Variable-architecture is not included in this study, as it is only used to describe the data and is not a variable in the MSKCC nomogram. An IBTR was defined as the development of invasive cancer or DCIS histology in the treated breast. Time to IBTR was the interval from surgery to date of IBTR diagnosis.

Treatment

Standard treatment for patients with DCIS after local excision is RT in our center. However, patients with small, low-grade tumors that have wide margins of excision can choose to avoid RT. Some patients may decline RT regardless of the clinical recommendation.

Since the report of the National Surgical Adjuvant Breast and Bowel Project (NSABP) B-24 study,11 patients with DCIS in our center have been offered endocrine therapy in the postoperative setting if there were no contraindications. This practice changed in 2002, when a reanalysis of NSABP B-24 found that the benefit of tamoxifen is greatest in patients who have estrogen receptor (ER) –positive DCIS.12 We now recommend endocrine therapy only to patients with ER-positive DCIS.

Statistical Analysis

Patient, tumor, and treatment characteristics were evaluated. Kaplan-Meier survival curves were calculated, and the log-rank test was used to compare the IBTR-free survival between groups. We also used cumulative incidence estimates, because, when competing risks are present, the Kaplan-Meier method overestimates the true failure probability.13 Patients who had not had recurrence at the time of analysis or who died without recurrence were censored at last follow-up. A multivariate Cox proportional hazards model was used to identify significant factors associated with IBTR without violation of the proportional hazards assumption.

The predicted 5- and 10-year probabilities of recurrence were calculated for each patient with the nomogram available on the MSKCC Web site. A receiver operating characteristic (ROC) curve was drawn, and the areas under the curve (AUCs) at the 5- and 10-year follow-up evaluations were calculated to assess the discriminative power of the nomogram. It is generally accepted that AUC values of 0.7 to 0.8 represent reasonable discrimination, whereas AUC values exceeding 0.8 represent good discrimination.14 We also assessed the discriminative ability of the nomogram by using the Harrell concordance index (C index), a widely applicable measure of predictive discrimination—one that applies to ordinary continuous outcomes, dichotomous diagnostic outcomes, ordinal outcomes, and censored time-until-event response variables.15,16 Similar to the AUC, the C-index can range from perfect concordance (1.0) to random predictions (0.5).14,17

Calibration of the nomogram was assessed by plotting the observed IBTR rate (the mean Kaplan-Meier estimate for patients in each octile) against the nomogram 5- and 10-year predicted IBTR probability (ie, the mean nomogram predicted probability for patients in each octile). A perfectly accurate nomogram prediction model would result in a plot in which the observed and predicted probabilities for given groups would fall along the 45-degree line. The distance between the pairs and the 45-degree line is a measure of the absolute error of the nomogram's prediction.18 All statistical analyses were performed by using R 2.10.1 (http://www.r-project.org/). All P values were two tailed, and P ≤ .05 was considered significant.

RESULTS

Patient, Tumor, and Treatment Characteristics

There were 794 patients in this study. Table 1 lists the comparisons between the MDACC and MSKCC cohorts, including patient demographics, disease characteristics, and treatment variables. Missing frequencies are listed when applicable. Overall, in the MDACC cohort, patients were more likely to be treated with radiation if the DCIS was high nuclear grade (42.5% v 10% of patients with low nuclear grade; P < .001) or had necrosis (67.5% v 32.5% of patients without necrosis; P < .001). More patients received radiation after 2000 (75.4% v 66.8% of patients had radiation before 2000; P = .01). The 218 patients treated without radiation were more likely to have smaller tumors (mean, 1.0 cm; median, 0.7 cm; v mean, 1.5 cm; median, 1 cm in the radiation group; P < .001) and lower-grade tumors (78.5% grades 1 to 2 tumors v 57.5% grades 1 to 2 tumors in the radiation group; P < .001). More patients received endocrine therapy after 2000 (41.9% v 12.6% of patients had endocrine therapy before 2000; P < .001). Eighteen patients used tamoxifen before surgery for the treatment of a contralateral breast cancer; 24 patients had mammographically occult DCIS detected by MRI or ultrasound examination.

Table 1.

Comparison of Patient Demographic, Disease, and Treatment Characteristics in the MDACC and MSKCC Cohorts

Characteristic Patients in MDACC Cohort
Patients in MSKCC Cohort
P
No. (n = 794) % No. (n = 1,868) %
Age at diagnosis, years
    Mean 57.7
    Median 57 57
    Range 19-90 25-89
Ethnicity NA
    White 607 76.5
    Black 75 9.4
    Other 112 14.1
Menopausal status .001*
    Pre/perimenopausal 214 27.0 625 33.5
    Postmenopausal 562 70.8 1,187 63.5
    Unknown 18 2.3 56 3.0
Family history of breast cancer .8*
    No 503 63.4 1,157 61.9
    Yes 291 36.6 688 36.8
    Unknown 23 1.3
Initial presentation < .001*
    Clinical 160 20.2 251 13.4
    Radiologic 634 79.8 1,588 85.0
    Unknown 29 1.6
Method of detection NA
    Microcalcifications 588 74.1
    Density or mass 109 13.7
    Both 62 7.8
    Incidental finding 33 4.2
    Unknown 2 0.3
Type of image for detection NA
    Mammography 758 95.5
    Ultrasound/MRI 24 3.0
    No image detection 11 1.4
    Unknown 1 0.1
Bloody nipple discharge NA
    Yes 37 4.7
    No 757 95.3
Tamoxifen use before surgery NA
    Yes 18 2.3
    No 776 97.7
Hormone replacement therapy before surgery NA
    Yes 245 30.9
    No 254 32.0
    Unknown 295 37.1
Microcalcifications with DCIS NA
    Pathologic finding only 57 7.2
    Imaging finding only 138 17.4
    Both 514 64.7
    None 85 10.7
Necrosis with DCIS .028
    Present 471 59.3 1,173 62.8
    Absent 323 40.7 663 35.5
    Unknown 32 1.7
Nuclear grade < .001
    I 104 13.1 370 19.8
    II/III 631 79.5 1,411 75.5
    Unknown 59 7.4 87 4.7
Final tumor size, cm NA
    Mean 1.2
    Median 0.8
    Range 0.09-10
Final margin < .001
    Negative 698 87.9 1,501 80.3
    Positive/close 93 12.1 360 19.3
    Unknown 3 0.4 7 0.4
Estrogen receptor NA
    Positive 289 36.4
    Negative 62 7.8
    Unknown 443 55.8
Progesterone receptor NA
    Positive 230 29.0
    Negative 112 14.1
    Unknown 452 56.9
No. of excisions
    1 591 80.5
    > 1 143 19.5
Time period of surgery
    1990-1999 262 33.0
    2000-2007 532 67.0
Adjuvant endocrine therapy < .001
    Yes 256 32.2 398 21.3
    No 538 67.8 1,444 77.3
    Unknown 26 1.4
Adjuvant radiation therapy < .001
    Yes 576 72.5 906 48.5
    No 218 27.5 935 50.1
    Unknown 27 1.4
Follow-up time, years
    Mean 7.9
    Median 7.1 5.6
    Range 1-20.4 0-17.5
IBTR .028
    Yes 63 7.9 202 10.8
    No 731 92.1 1,666 89.2
IBTR type
    DCIS 36 4.5 122 7
    Invasive with or without DCIS 27 3.4 80 4
Contralateral breast cancer NA
    Yes 112 14.1
    No 682 85.9
MSKCC 5-year probability of recurrence, %
    Mean 6.4
    Median 5
    Range 1-37
MSKCC 10-year probability of recurrence, %
    Mean 9.9
    Median 7
    Range 2-53

Abbreviations: DCIS, ductal carcinoma in situ; IBTR, ipsilateral breast tumor recurrence; NA, not applicable; MDACC, MD Anderson Cancer Center; MRI, magnetic resonance imaging; MSKCC, Memorial Sloan-Kettering Cancer Center.

*

P value was calculated after unknown category was excluded.

IBTRs

The median follow-up time was 7.1 years for all patients. There were 572 (72.0%) patients with at least 5 years follow-up time and 206 (25.9%) that had at least 10 years follow-up time. Among the 794 patients, 63 (7.9%) developed IBTR. Fifty-seven percent of IBTRs were invasive (with or without DCIS), and 42.9% were DCIS only. The IBTR rate was 4.7% (95% CI, 3.4% to 6.5%) at 5 years, and 10.4% (95% CI, 7.9% to 13.7%) at 10 years.

Table 2 presents univariate and multivariate analyses for the 734 patients with complete data in the MDACC cohort and multivariate analysis from the MSKCC cohort. Omission of endocrine therapy (HR, 2.45; 95% CI, 1.15 to 5.24; P = 0.02) and initial presentation on clinical exam (HR, 1.87; 95% CI, 1.03 to 3.37; P = 0.039) were significantly associated with increased risk of IBTR. We separated the endocrine therapy results by ER-positive, ER-negative and unknown, and found that omission of endocrine therapy was only significantly associated with increased risk of IBTR in ER-positive DCIS. The univariate association of these two factors with IBTR rate is shown in Figure 1 in the form of Kaplan-Meier plots and cumulative incidence estimates. The 5-year IBTR rates were 1.2% for patients who received endocrine therapy versus 6.2% without (P = 0.01). The 5-year IBTR rates were 7.1% for patients with clinical findings at presentation and 3.9% for patients with radiologic presentation (P = 0.03).

Table 2.

Results of Univariate and Multivariate Cox Proportional Hazards Analysis of Clinicopathologic Variable Influence on IBTR in the MDACC and MSKCC Cohorts

Characteristic MDACC Cohort
MSKCC Cohort
Univariate Analysis
Multivariate Analysis*
Multivariate Analysis
HR P HR P 95% CI HR P 95% CI
Age at diagnosis 0.99 .3 0.99 .2 0.96 1.01 0.99 .03 0.97 to 0.998
Ethnicity NA
    White Referent
    Black 1.16 .7
    Other 0.70 .4
Family history of breast cancer
    No Referent
    Yes 1.55 .12 1.62 .09 0.94 2.82 1.34 .07 0.98 to 1.84
Initial presentation
    Radiologic Referent
    Clinical 1.91 .03 1.87 .039 1.03 3.37 1.39 .09 0.95 to 2.03
Nuclear grade
    I Referent
    II/III 1.23 .3 1.23 .5 0.67 2.27 1.30 .25 0.84 to 2.02
Necrosis with DCIS
    Absent Referent
    Present 1.00 .995 1.16 .6 .65 2.05 1.13 .5 0.79 to 1.62
Final margin
    Negative Referent
    Positive/close 1.06 .9 1.05 .9 .44 2.52 1.73 .002 1.23 to 2.44
Adjuvant endocrine therapy
    Yes Referent
    No 2.50 .018 2.45 .02 1.15 5.24 2.11 .003 1.29 to 3.46
Adjuvant radiation therapy
    Yes Referent
    No 1.62 .09 1.59 .1 .88 2.89 2.67 < .001 1.91 to 3.75
Number of excisions
    1 Referent
    > 1 0.72 .5 0.83 .7 .34 2.02 1.68 .03 1.04 to 2.73
Time period of surgery
    1990-1999 Referent
    2000-2007 0.61 .3 0.94 .7 .31 1.28 0.57 < .001 0.41 to 0.79
Grade and radiation
    I/II with radiation Referent
    I/II without radiation 1.89 .07
    III with radiation 1.38 .4
    III without radiation 1.78 .3
Final tumor size 1.00 .8
Adjuvant endocrine therapy if ER positive
    Yes Referent
    No 6.90 .01
Adjuvant endocrine therapy if ER negative
    Yes Referent
    No 2.74 .9
Adjuvant endocrine therapy if ER unknown
    Yes Referent
    No 0.93 .9

NOTE. Total No. = 734.

Abbreviations: C-index, Harrell concordance index; DCIS, ductal carcinoma in situ; ER, estrogen receptor; HR, hazard ratio; IBTR, ipsilateral breast tumor recurrence; NA, not applicable; MDACC, MD Anderson Cancer Center; MSKCC, Memorial Sloan-Kettering Cancer Center.

*

C-index, 0.68.

Fig 1.

Fig 1.

Kaplan-Meier failure and cumulative incidence plots demonstrating association between predictor variables of ipsilateral breast recurrence after breast-conserving treatment for ductal carcinoma in situ. Association of adjuvant endocrine therapy with Kaplan-Meier (A) failure plot and (B) cumulative incidence; and association of initial mode of presentation with Kaplan-Meier (C) failure plot and (D) cumulative incidence. P value (log-rank test) is provided for each comparison.

No significant association between increased risk of IBTR and presence of necrosis or high nuclear grade was identified. The 5-year IBTR rates were 5.1% for low-nuclear-grade, 3.9% for intermediate-grade, and 5.0% for high-grade tumors. Use of radiation was not significantly associated with a lower IBTR (P = 0.1). The 5-year IBTR rates were 3.9% for patients who received radiation therapy and 6.1% for patients who did not.

Evaluating the MSKCC Nomogram

We evaluated our data set with the MSKCC model. Because of missing data, 60 of the 794 patients were excluded. The 5- and 10-year probabilities of recurrence for the 734 patients who had complete data were calculated with the MSKCC nomogram. The median 5-year probability of recurrence was 5% (range, 1% to 37%), and the median 10-year probability of recurrence was 7% (range, 2% to 53%). An ROC curve was drawn to assess the discrimination of the nomogram. The overall predictive accuracy of the nomogram, as measured by the AUC, was 0.634 (95% CI, 0.536 to 0.731) at 5 years, and it was 0.654 (95% CI, 0.572 to 0.734) at 10 years. The Harrell C index was 0.63 (95% CI, 0.55 to 0.72).

To assess the accuracy of the MSKCC nomogram, actual 5- and 10-year recurrences were plotted against the calculated predicted 5- and 10-year probabilities of recurrence for each patient (Fig 2). This shows imperfect calibration, especially in patients with the highest predicted risk, which greatly overestimates the observed risk. Fifty-nine patients (8%) have the highest predicted risk, and 84 patients (11.4%) have the next highest predicted risk, which is estimated rather well by the nomogram. The difference between this group and the next-highest predicted risk is that all 59 patients had no RT, whereas approximately 30% of patients in the next-highest predicted risk group had RT; approximately 70% of patients in this group had surgery before 1999 compared with 37% in the next-highest group; and 32% of patients in this group had positive or close margins compared with 17.8% in the next-highest group.

Fig 2.

Fig 2.

Calibration plots for the nomogram: (A) 5-year nomogram; (B) 10-year nomogram. Patients were grouped by octiles of predicted risk. The x-axis is the nomogram-predicted probability of ipsilateral breast recurrence (IBTR). The y-axis is the observed probability of IBTR (Kaplan-Meier estimates). Dashed line represents the ideal nomogram; circles represent apparent predictive accuracy, calculated by plotting the mean Kaplan-Meier estimate for each octile versus the mean nomogram-predicted probability for patients in each octile.

DISCUSSION

There is a wide spectrum in the practice patterns among physicians for management of DCIS treated with breast conservation.4 A plethora of clinical and pathologic variables are known to influence the risk of IBTR,6,11 including but not limited to age5,11,19,20; clinical presentation5,11,21; family history22; margin status3,23; and histopathologic features, such as extent of DCIS,24,25 nuclear grade,5,26 and presence of necrosis and use of RT.2628 However, because of variations in study methods, sample sizes, and populations, there is no consensus within the literature on the true risk associated with each of these variables. Consequently, estimating an individual patient's risk of recurrence on the basis of the current literature alone is difficult.

An attractive approach with which to evaluate the risk of IBTR in patients with DCIS after local excision is with the MSKCC nomogram, as described by Rudloff et al.10 The nomogram is a tool that provides risk estimates as the probability of recurrence at 5 or 10 years. However, the MSKCC nomogram was only internally validated with 200 bootstrap samples, with a concordance probability estimate of 0.668; therefore, applicability to external data sets is unclear.10 Internal evaluation cannot address the wider issue of the generalizability of the model.29 Because the goal of validation is to demonstrate satisfactory performance for patients from a population different than the original, it is desirable to evaluate new data collected from an appropriate patient population in a different center. We tested the value of the nomogram with our data set to provide external validation in a completely independent, though similar, setting.

There was no difference with respect to age and family history of breast cancer between the MDACC and MSKCC cohorts. There were marked differences with respect to tumor grade, prevalence of necrosis, initial presentation, final margin status, receipt of endocrine therapy, and use of RT between the two cohorts (Table 1). The biggest difference was that more patients received RT in the MDACC cohort (75% at MDACC v 49% at MSKCC; P < .001). Follow-up time in the MDACC cohort was longer than in the MSKCC cohort (median, 7.1 years v 5.6 years), and the recurrence rate was lower in the MDACC cohort (7.9% v 11%).

Our calculated AUC (0.634) and Harrell C index (0.63) showed that the performance of the nomogram is suboptimal. On the basis of the 5-year probabilities of recurrence calibration plot (Fig 2, left), the nomogram seems to overestimate the risk for some patients, because the calculated point is far lower than the reference. We assume that this is mainly because all of those patients in this highest predicted risk group had no RT, and RT is the most important predictor in the MSKCC nomogram but is not a predictor in the MDACC cohort. On the basis of the 10-year probabilities of recurrence calibration plot (Fig 2, right), the accuracy of the nomogram seems to decrease, because more calculated points do not approach the reference line. We assume that this is because follow-up time in the MSKCC cohort is too short (median, 5.6 range 0 to 17.5 years) for calculating 10-year probabilities of recurrence. The primary application of a nomogram is to guide treatment of newly diagnosed patients. However, the prognostic values from the MSKCC nomogram appear to be related to treatment trends over different time periods (eg, use of radiation or endocrine therapy, which can lead to cohort effects). That is, the earlier-diagnosed patients who have more follow-up time are more likely to have observed events when compared with more recently diagnosed patients treated in a different fashion. On the basis of our findings, we conclude that the nomogram leaves significant room for improvement. It is possible that clinical parameters alone are insufficient to predict outcome.

In the study in which the MSKCC nomogram was developed, only six of 10 factors had statistically significant values: age at surgery, use of RT, use of endocrine therapy, margin status, number of excisions, and time period of surgery (Table 2). Our study confirms that endocrine therapy is related to lower recurrence rates after local excision in univariate analysis. Our study supports that patients with ER-positive DCIS will benefit from endocrine therapy. Several large multicenter trials have demonstrated an increased risk of IBTR in patients undergoing local excision without radiation.3,5,7,8,30 In our study, we found only a trend toward increased risk of IBTR in patients without radiation (hazard ratio, 1.62; P = .1), likely as a result of RT in the majority of our patients (75%); the patients who did not undergo RT were more likely to have smaller and lower-grade tumors. We also failed to find evidence showing that positive/close margins increase IBTR rates; this may be explained by the small number of patients who had positive (0.5%) or close margins (11.2%). The importance of age in the management of DCIS is controversial. Some studies suggest that younger patients with DCIS treated with lumpectomy and RT have a significantly higher risk of local recurrence.5,11,19,20,31 However, it is uncertain whether this increased risk is related to worse biologic behavior of DCIS in younger patients, to treatment-related factors, or to both possibilities.31 A number of other studies did not show that young age resulted in a significantly increased risk of local recurrence.22,3235 Our study agrees with such findings. Neither our study nor the MSKCC study showed an association between larger tumor size and recurrence of DCIS, whereas other studies have.24,25 This may be due to selection bias of patients for breast-conserving therapy (tending to be chosen more in patients with small tumors). Similar to the MSKCC study, we did not observe a statistically significant association of any pathologic variables, including grade and presence of necrosis with risk of local failure. Others have also found that there are no significant differences in IBTR rates between those with high grade and necrosis.10,34,36 However, we found that patients who presented with a palpable mass rather than with radiologic-only presentation had a higher risk of IBTR. Kerlikowske et al37 also found that detection of DCIS lesions by palpation was one of only two factors most strongly associated with risk of subsequent invasive cancer.

Previously, studies showed that IBTR can be classified into two distinct types of disease: true local recurrences and new ipsilateral primary tumors.38,39 To accurately assess factors associated with IBTR, it would be of value to separately evaluate those two types. In this study, we were unable to do that because of the small number of patients with IBTR. One of the limitations of our study, like all current studies on predicting IBTR, is the small sample size. Another limitation is that we only used patient, clinical, and pathologic factors to predict probability of IBTR. Molecular factors may help predict probability of IBTR.

In conclusion, DCIS is a heterogeneous disease, and our ability to assess prognosis and predict risk of recurrence on the basis of pathologic and imaging findings is limited. Better decision-making tools are needed to help patients and their providers choose among therapeutic options.2 A combination of pathologic, clinical, and molecular factors may ultimately reveal more powerful and robust measures for disease classification than any one modality alone.40

Acknowledgment

We thank Sunita Patterson, BA, of The University of Texas MD Anderson Cancer Center Department of Scientific Publications for editorial assistance.

Footnotes

See accompanying editorial on page 577

Supported in part by the National Institutes of Health support grant No. CA016672 to the MD Anderson Cancer Center.

Presented in part at the 33rd Annual San Antonio Breast Cancer Symposium, December 8-12, 2010, San Antonio, TX.

Authors' disclosures of potential conflicts of interest and author contributions are found at the end of this article.

AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST

The author(s) indicated no potential conflicts of interest.

AUTHOR CONTRIBUTIONS

Conception and design: Min Yi, Funda Meric-Bernstam, Henry M. Kuerer, Elizabeth A. Mittendorf, Anthony Lucci, Kelly K. Hunt

Administrative support: Kelly K. Hunt

Provision of study materials or patients: Isabelle Bedrosian,Kelly K. Hunt

Collection and assembly of data: Min Yi, Sheng Luo, Kelly K. Hunt

Data analysis and interpretation: Min Yi, Isabelle Bedrosian, Rosa F. Hwang, Jaime R. Crow, Kelly K. Hunt

Manuscript writing: All authors

Final approval of manuscript: All authors

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