Abstract

Background

Hormone receptor (HR)-positive, HER2-negative metastatic invasive lobular breast cancer (mILC) is distinct from invasive ductal cancer (IDC) in clinicopathologic and molecular characteristics, impacting its response to systemic therapy. While endocrine therapy (ET) combined with targeted therapies has shown efficacy in ET-sensitive mILC, data on chemotherapy in ET-refractory mILC remain limited. We investigated the efficacy of single-agent capecitabine (CAP) versus taxanes (TAX) in ET-refractory HR+ HER2-negative patients with mILC.

Materials and Methods

Using data from the MD Anderson prospectively collected breast cancer database, we identified patients with HR+ HER2-negative mILC who received prior ET and first-time chemotherapy in the metastatic setting. We compared outcomes between 173 CAP-treated and 96 TAX-treated patients.

Results

CAP-treated patients had significantly better median progression-free survival (PFS) than TAX-treated patients (8.8 vs 5.0 months, HR 0.63, P < .001). Overall survival (OS) did not differ significantly between the groups (42.7 vs 36.6 months for CAP vs TAX, respectively, HR 0.84, P = .241). Multivariate analyses for PFS and OS revealed better outcomes in subjects with fewer metastatic sites and those exposed to more lines of ET. Additionally, Black patients showed worse OS outcomes compared to White patients (HR 2.46; P = .001).

Conclusion

In ET-refractory HR+ HER2-negative mILC, single-agent CAP demonstrated superior PFS compared to TAX. Our findings highlight the potential benefit of CAP in this patient subset, warranting further investigation through prospective trials.

Implications for Practice

This study sheds light on the treatment of hormone receptor-positive, HER2-negative metastatic invasive lobular breast cancer (mILC) for patients who no longer respond to endocrine therapy. The findings reveal that single-agent capecitabine may offer a promising option, significantly improving progression-free survival compared to taxanes. These results have meaningful clinical implications, suggesting that capecitabine could be a viable treatment for ET-refractory mILC. Importantly, our study emphasizes the need for personalized approaches, considering racial disparities in treatment response. By guiding clinicians in selecting appropriate therapies, this research may ultimately improve outcomes and quality of life for patients with mILC.

Introduction

Invasive metastatic breast cancer (mBC) is composed of multiple histological subtypes. The most common is invasive ductal carcinoma (IDC), also commonly classified as invasive carcinoma of no special type, which accounts for 80% of all invasive BCs,1 followed by invasive lobular carcinoma (ILC) which accounts for approximately 10%.2 ILC is distinct from IDC in its clinicopathologic characteristics and molecular alterations.3,4 One special feature of ILC is the near-universal loss of the cell adhesion protein E-cadherin in approximately 90% of cases5 because of a loss of function via genomic loss (most commonly heterogenous 16q [90%-94% of cases]5-8) or mutation.3 ILC generally has features that are associated with a good prognosis, most often with low grade, low proliferation index, and strong ER positivity.9 However, compared to IDC, ILC tends to have a higher risk of distant recurrence after 10 years10 and tends to exhibit peculiar metastatic patterns.11

The majority (93%) of metastatic ILC (mILC) is hormone receptor-positive and human epidermal growth factor receptor 2-negative (HR+/HER2−).10 As long as mILC is considered hormone sensitive, they are treated with sequential lines of endocrine therapy (ET) in combination with targeted therapies (TT) such as cyclin-dependent kinase 4/6 inhibitors (CDK4/6is), the mammalian target of rapamycin inhibitor (mTORi) everolimus, and the phosphoinositide 3-kinase inhibitor alpelisib.12

Once these tumors become ET-refractory, they are treated with sequential single-agent chemotherapies.1 However, there is no consensus on the optimal first-line (1L) chemotherapy regimen for HR+/HER2− mBC. Two commonly used agents with favorable toxicity profiles are taxanes (TAX) and capecitabine (CAP). Most studies assessing the effectiveness of chemotherapy in HR+/HER2− mBC did not report outcomes based on histology.13-17 However, it is important to examine the effectiveness of different chemotherapeutic agents in mILC specifically given the compelling evidence that early stage ILC treated with chemotherapy responded more poorly compared IDC.18

In this study, we compare the outcomes of hormone refractory HR+/HER2− mILC patients treated with 1L taxanes and compare it to those who received 1L CAP.

Materials and Methods

Study Population and Variables

We searched the IRB-approved prospectively collected breast cancer database (MDA IRB# PA17-0199) at The University of Texas MD Anderson Cancer Center (Houston, TX) to identify patients with HR+/HER2− mILC that were ET-refractory and receiving 1L chemotherapy between January 1997 and June 2020. Data including patient demographics, treatment received (CAP vs taxane), metastatic presentation (de novo vs recurrent), number of metastatic sites (1, 2, or 3 and more), location of metastatic sites (non-visceral vs visceral), number of prior hormonal therapies, exposure to prior CDK4/6i, survival, and last follow-up were collected. Patients were divided into 2 groups: those who received capecitabine (CAP group) and those who received a taxane (TAX group). The TAX group included patients who received paclitaxel, nab-paclitaxel, or docetaxel.

Statistical Analysis

The distribution of each continuous variable was summarized by its median and range. The distribution of each categorical variable was summarized in terms of its frequencies and percentages. Continuous variables were compared between groups using Wilcoxon rank sum test, and Fisher’s exact test was used to assess the association between categorical variables. The Kaplan-Meier product-limit method was used to estimate the distributions of progression-free survival (PFS) and overall survival (OS) distributions, and the log-rank test was used to compare the distributions by the two treatment groups. The Cox proportional hazards regression model was used to evaluate the association of patient prognostic variables and OS or PFS. PFS was defined as the time from the date of initiation of the correspondent systemic therapy to the time of disease progression or death or treatment ending in the current line therapy for any reason. OS is defined as the time from date of distant metastasis till death or censored at the last follow-up. The variables indicating potentially significant association with the outcome (ie, P-value ≤ .05) were included in the initial saturated multivariable model while the chemotherapy effect was forced in the model since it is the research interest for the study. The backward model selection was then employed to identify the final multivariable model wherethe remaining variables have P < .05. All computations were carried out in SAS version 9.4.

Results

Baseline Characteristics

We reviewed 269 subjects, of whom 173 received CAP and 96 received TAX as 1L chemotherapy. In the overall population, the median age was 52, with a range from 27 to 81 years. Eighty percent of patients were White, 6% Black, 9% Hispanic, and 3% Asian. Eighty-two percent of patients had recurrent breast cancer and 18% were de novo metastatic. Approximately 50% of patients had 3 or more metastatic lesions. Sixty percent of patients had non-visceral metastasis and 40% had visceral ones. Approximately 50% of patients received only one prior ET and 22% had exposure to prior CDK4/6is (Table 1). When comparing the patients’ characteristics between the CAP group and the TAX group, the only statistically significant different variable was seen in the metastatic origin; 80% of patients in the CAP group (20% de novo) versus 70% of patients in the TAX group had recurrent disease (P = .001; Table 2).

Table 1.

Patient characteristics.

Metastatic ET-refractory ILC treated with 1L chemotherapy
N = 269
Age—median (min, max)52 (27, 81)
Race—no (%)
 White215 (80)
 Black17 (6)
 Hispanic23 (9)
 Asian9 (3)
 Other5 (2)
Metastatic presentation
 De novo50 (18)
 Recurrent219 (82)
Number of metastases
 160 (22)
 278 (29)
 3 or more131 (49)
Location of metastatic site
 Non-visceral165 (60)
 Visceral104 (40)
Number of prior endocrine therapies
 1129 (48)
 284 (31)
 3 or more56 (21)
Exposure to prior CDK4/6i
 No211 (78)
 Yes58 (22)
Chemotherapy agent
 Capecitabine173 (64)
 Taxane96 (36)
Metastatic ET-refractory ILC treated with 1L chemotherapy
N = 269
Age—median (min, max)52 (27, 81)
Race—no (%)
 White215 (80)
 Black17 (6)
 Hispanic23 (9)
 Asian9 (3)
 Other5 (2)
Metastatic presentation
 De novo50 (18)
 Recurrent219 (82)
Number of metastases
 160 (22)
 278 (29)
 3 or more131 (49)
Location of metastatic site
 Non-visceral165 (60)
 Visceral104 (40)
Number of prior endocrine therapies
 1129 (48)
 284 (31)
 3 or more56 (21)
Exposure to prior CDK4/6i
 No211 (78)
 Yes58 (22)
Chemotherapy agent
 Capecitabine173 (64)
 Taxane96 (36)

Abbreviations: 1L, first line; CDK4/6i, cyclin-dependent kinase 4 and 6 inhibitor; ET, endocrine therapy; ILC, invasive lobular carcinoma.

Table 1.

Patient characteristics.

Metastatic ET-refractory ILC treated with 1L chemotherapy
N = 269
Age—median (min, max)52 (27, 81)
Race—no (%)
 White215 (80)
 Black17 (6)
 Hispanic23 (9)
 Asian9 (3)
 Other5 (2)
Metastatic presentation
 De novo50 (18)
 Recurrent219 (82)
Number of metastases
 160 (22)
 278 (29)
 3 or more131 (49)
Location of metastatic site
 Non-visceral165 (60)
 Visceral104 (40)
Number of prior endocrine therapies
 1129 (48)
 284 (31)
 3 or more56 (21)
Exposure to prior CDK4/6i
 No211 (78)
 Yes58 (22)
Chemotherapy agent
 Capecitabine173 (64)
 Taxane96 (36)
Metastatic ET-refractory ILC treated with 1L chemotherapy
N = 269
Age—median (min, max)52 (27, 81)
Race—no (%)
 White215 (80)
 Black17 (6)
 Hispanic23 (9)
 Asian9 (3)
 Other5 (2)
Metastatic presentation
 De novo50 (18)
 Recurrent219 (82)
Number of metastases
 160 (22)
 278 (29)
 3 or more131 (49)
Location of metastatic site
 Non-visceral165 (60)
 Visceral104 (40)
Number of prior endocrine therapies
 1129 (48)
 284 (31)
 3 or more56 (21)
Exposure to prior CDK4/6i
 No211 (78)
 Yes58 (22)
Chemotherapy agent
 Capecitabine173 (64)
 Taxane96 (36)

Abbreviations: 1L, first line; CDK4/6i, cyclin-dependent kinase 4 and 6 inhibitor; ET, endocrine therapy; ILC, invasive lobular carcinoma.

Table 2.

Patient characteristics per chemotherapy agent.

Capecitabine
N = 173
Taxane
N = 96
P-value
Age—median (min, max)52 (27, 81)52 (32, 77).801
Race
 White140 (81)75 (78).329
 Black10 (6)7 (7)
 Hispanic13 (7)10 (11)
 Asian8 (5)1 (1)
 Other2 (1)3 (3)
Metastatic presentation
 De novo22(10)28 (30).001*
 Recurrent151 (90)68 (70)
Disease-free interval
 0-12 months8 (5.3)3 (4.4).274
 12-24 months16 (10.6)5 (7.4)
 24-60 months52 (34.4)33 (48.5)
 >60 months75 (49.7)27 (39.7)
Number of metastases
 144 (25)16 (16).204
 246 (26)32 (33)
 3 or more83 (49)48 (51)
Location of metastatic site
 Non-visceral111 (64)54 (56).239
 Visceral62 (36)42 (44)
Number of prior endocrine therapies
 182 (49)47 (50).398
 250 (28)34 (35)
 330 (17)10 (10)
 411 (6)5 (5)
Exposure to prior CDK4/6i
 No130 (75)81 (85).089
 Yes43 (25)15 (15)
Years patients were treated
 ≤200217 (9.8)11 (11.5).109
 2003-200842 (24.3)30 (31.3)
 2009-201474 (42.8)44 (45.8)
 ≥201540 (23.1)11 (11.5%)
Prior exposure to taxanes in early stage
 Yes91 (52)25 (26)<.001*
 No82 (48)71 (74)
Capecitabine
N = 173
Taxane
N = 96
P-value
Age—median (min, max)52 (27, 81)52 (32, 77).801
Race
 White140 (81)75 (78).329
 Black10 (6)7 (7)
 Hispanic13 (7)10 (11)
 Asian8 (5)1 (1)
 Other2 (1)3 (3)
Metastatic presentation
 De novo22(10)28 (30).001*
 Recurrent151 (90)68 (70)
Disease-free interval
 0-12 months8 (5.3)3 (4.4).274
 12-24 months16 (10.6)5 (7.4)
 24-60 months52 (34.4)33 (48.5)
 >60 months75 (49.7)27 (39.7)
Number of metastases
 144 (25)16 (16).204
 246 (26)32 (33)
 3 or more83 (49)48 (51)
Location of metastatic site
 Non-visceral111 (64)54 (56).239
 Visceral62 (36)42 (44)
Number of prior endocrine therapies
 182 (49)47 (50).398
 250 (28)34 (35)
 330 (17)10 (10)
 411 (6)5 (5)
Exposure to prior CDK4/6i
 No130 (75)81 (85).089
 Yes43 (25)15 (15)
Years patients were treated
 ≤200217 (9.8)11 (11.5).109
 2003-200842 (24.3)30 (31.3)
 2009-201474 (42.8)44 (45.8)
 ≥201540 (23.1)11 (11.5%)
Prior exposure to taxanes in early stage
 Yes91 (52)25 (26)<.001*
 No82 (48)71 (74)

Abbreviation: CDK4/6i, cyclin-dependent kinase 4 and 6 inhibitor. Italic/starred values indicates statistical significance

Table 2.

Patient characteristics per chemotherapy agent.

Capecitabine
N = 173
Taxane
N = 96
P-value
Age—median (min, max)52 (27, 81)52 (32, 77).801
Race
 White140 (81)75 (78).329
 Black10 (6)7 (7)
 Hispanic13 (7)10 (11)
 Asian8 (5)1 (1)
 Other2 (1)3 (3)
Metastatic presentation
 De novo22(10)28 (30).001*
 Recurrent151 (90)68 (70)
Disease-free interval
 0-12 months8 (5.3)3 (4.4).274
 12-24 months16 (10.6)5 (7.4)
 24-60 months52 (34.4)33 (48.5)
 >60 months75 (49.7)27 (39.7)
Number of metastases
 144 (25)16 (16).204
 246 (26)32 (33)
 3 or more83 (49)48 (51)
Location of metastatic site
 Non-visceral111 (64)54 (56).239
 Visceral62 (36)42 (44)
Number of prior endocrine therapies
 182 (49)47 (50).398
 250 (28)34 (35)
 330 (17)10 (10)
 411 (6)5 (5)
Exposure to prior CDK4/6i
 No130 (75)81 (85).089
 Yes43 (25)15 (15)
Years patients were treated
 ≤200217 (9.8)11 (11.5).109
 2003-200842 (24.3)30 (31.3)
 2009-201474 (42.8)44 (45.8)
 ≥201540 (23.1)11 (11.5%)
Prior exposure to taxanes in early stage
 Yes91 (52)25 (26)<.001*
 No82 (48)71 (74)
Capecitabine
N = 173
Taxane
N = 96
P-value
Age—median (min, max)52 (27, 81)52 (32, 77).801
Race
 White140 (81)75 (78).329
 Black10 (6)7 (7)
 Hispanic13 (7)10 (11)
 Asian8 (5)1 (1)
 Other2 (1)3 (3)
Metastatic presentation
 De novo22(10)28 (30).001*
 Recurrent151 (90)68 (70)
Disease-free interval
 0-12 months8 (5.3)3 (4.4).274
 12-24 months16 (10.6)5 (7.4)
 24-60 months52 (34.4)33 (48.5)
 >60 months75 (49.7)27 (39.7)
Number of metastases
 144 (25)16 (16).204
 246 (26)32 (33)
 3 or more83 (49)48 (51)
Location of metastatic site
 Non-visceral111 (64)54 (56).239
 Visceral62 (36)42 (44)
Number of prior endocrine therapies
 182 (49)47 (50).398
 250 (28)34 (35)
 330 (17)10 (10)
 411 (6)5 (5)
Exposure to prior CDK4/6i
 No130 (75)81 (85).089
 Yes43 (25)15 (15)
Years patients were treated
 ≤200217 (9.8)11 (11.5).109
 2003-200842 (24.3)30 (31.3)
 2009-201474 (42.8)44 (45.8)
 ≥201540 (23.1)11 (11.5%)
Prior exposure to taxanes in early stage
 Yes91 (52)25 (26)<.001*
 No82 (48)71 (74)

Abbreviation: CDK4/6i, cyclin-dependent kinase 4 and 6 inhibitor. Italic/starred values indicates statistical significance

Outcomes

After a median follow-up of 103.7 months (95% CI 81.9-121.8), there were 158 progression events in the CAP group and 92 events in the TAX group. Patients who received 1L CAP had better median PFS compared to those who received TAX (8.8 vs 5.0 months, HR 0.63, 95% CI 0.48-0.82, P < .001 for the log-rank test) (Fig. 1). In the univariate analysis, the mono-chemotherapeutic agent, number of metastatic sites and number of prior endocrine therapies were correlated with PFS (Table 3). According to the multivariate analysis, the use of CAP was an independent favorable prognostic factor for PFS compared to the use of TAX (HR 0.70, 95% CI 0.53-0.91, P = .008) after adjusting for other risk factors. Similarly, a higher number of prior endocrine therapies was associated with better PFS. Conversely, a higher number of metastatic sites was associated with worse PFS (Table 4).

Table 3.

Univariate Cox for PFS and OS.

PFSOS
Hazard ratio (95% CI)P-valueOverall P-valueHazard ratio (95% CI)P-valueOverall P-value
Chemotherapeutic agent
 Capecitabine vs taxane0.63 (0.48-0.82)<.001*0.85 (0.64-1.12).241
Age0.99 (0.98-1.00).1611.02 (1-1.03).020*
Race
 Black vs White2.04 (1.22-3.41).006.0743.05 (1.82-5.13)<.001<.001*
 Hispanic vs White1.08 (0.69-1.69).7450.57 (0.35-0.96).033
 Asian vs White1.44 (0.71-2.94).3100.91 (0.37-2.23).841
 Other vs White0.78 (0.29-2.11).6270.60 (0.08-4.26).605
Metastatic presentation
 De Novo vs Recurrent1.08 (0.79-1.49).6200.78 (0.56-1.10).159
Number of metastases
 1 vs 3 or more0.62 (0.45-0.86).004.007*0.79 (0.55-1.14).207.365
 2 vs 3 or more0.72 (0.54-0.97).0030.85 (0.63-1.17).323
Location of metastatic site
 Non-Visceral vs Visceral0.83 (0.64-1.07).1520.71 (0.54-0.94).015*
Number of prior endocrine therapies
 1 vs 42.59 (1.39-4.82).003.004*5.93 (2.74-12.81)<.001<.001*
 2 vs 42.97 (1.57-5.63).0014.1 (1.87-8.96).004
 3 vs 41.96 (1.00-3.86).0512.32 (1.02-5.25).044
Exposure to prior CDK4/6i
 No vs yes1.1 (0.79-1.54).5770.95 (0.65-1.39).799
Prior exposure to taxanes in early stage
 No vs yes1.25 (0.97-1.60).0871.01 (0.77-1.33).946
PFSOS
Hazard ratio (95% CI)P-valueOverall P-valueHazard ratio (95% CI)P-valueOverall P-value
Chemotherapeutic agent
 Capecitabine vs taxane0.63 (0.48-0.82)<.001*0.85 (0.64-1.12).241
Age0.99 (0.98-1.00).1611.02 (1-1.03).020*
Race
 Black vs White2.04 (1.22-3.41).006.0743.05 (1.82-5.13)<.001<.001*
 Hispanic vs White1.08 (0.69-1.69).7450.57 (0.35-0.96).033
 Asian vs White1.44 (0.71-2.94).3100.91 (0.37-2.23).841
 Other vs White0.78 (0.29-2.11).6270.60 (0.08-4.26).605
Metastatic presentation
 De Novo vs Recurrent1.08 (0.79-1.49).6200.78 (0.56-1.10).159
Number of metastases
 1 vs 3 or more0.62 (0.45-0.86).004.007*0.79 (0.55-1.14).207.365
 2 vs 3 or more0.72 (0.54-0.97).0030.85 (0.63-1.17).323
Location of metastatic site
 Non-Visceral vs Visceral0.83 (0.64-1.07).1520.71 (0.54-0.94).015*
Number of prior endocrine therapies
 1 vs 42.59 (1.39-4.82).003.004*5.93 (2.74-12.81)<.001<.001*
 2 vs 42.97 (1.57-5.63).0014.1 (1.87-8.96).004
 3 vs 41.96 (1.00-3.86).0512.32 (1.02-5.25).044
Exposure to prior CDK4/6i
 No vs yes1.1 (0.79-1.54).5770.95 (0.65-1.39).799
Prior exposure to taxanes in early stage
 No vs yes1.25 (0.97-1.60).0871.01 (0.77-1.33).946

Abbreviation: CDK4/6i, cyclin-dependent kinase 4 and 6 inhibitor. Italic/starred values indicates statistical significance

Table 3.

Univariate Cox for PFS and OS.

PFSOS
Hazard ratio (95% CI)P-valueOverall P-valueHazard ratio (95% CI)P-valueOverall P-value
Chemotherapeutic agent
 Capecitabine vs taxane0.63 (0.48-0.82)<.001*0.85 (0.64-1.12).241
Age0.99 (0.98-1.00).1611.02 (1-1.03).020*
Race
 Black vs White2.04 (1.22-3.41).006.0743.05 (1.82-5.13)<.001<.001*
 Hispanic vs White1.08 (0.69-1.69).7450.57 (0.35-0.96).033
 Asian vs White1.44 (0.71-2.94).3100.91 (0.37-2.23).841
 Other vs White0.78 (0.29-2.11).6270.60 (0.08-4.26).605
Metastatic presentation
 De Novo vs Recurrent1.08 (0.79-1.49).6200.78 (0.56-1.10).159
Number of metastases
 1 vs 3 or more0.62 (0.45-0.86).004.007*0.79 (0.55-1.14).207.365
 2 vs 3 or more0.72 (0.54-0.97).0030.85 (0.63-1.17).323
Location of metastatic site
 Non-Visceral vs Visceral0.83 (0.64-1.07).1520.71 (0.54-0.94).015*
Number of prior endocrine therapies
 1 vs 42.59 (1.39-4.82).003.004*5.93 (2.74-12.81)<.001<.001*
 2 vs 42.97 (1.57-5.63).0014.1 (1.87-8.96).004
 3 vs 41.96 (1.00-3.86).0512.32 (1.02-5.25).044
Exposure to prior CDK4/6i
 No vs yes1.1 (0.79-1.54).5770.95 (0.65-1.39).799
Prior exposure to taxanes in early stage
 No vs yes1.25 (0.97-1.60).0871.01 (0.77-1.33).946
PFSOS
Hazard ratio (95% CI)P-valueOverall P-valueHazard ratio (95% CI)P-valueOverall P-value
Chemotherapeutic agent
 Capecitabine vs taxane0.63 (0.48-0.82)<.001*0.85 (0.64-1.12).241
Age0.99 (0.98-1.00).1611.02 (1-1.03).020*
Race
 Black vs White2.04 (1.22-3.41).006.0743.05 (1.82-5.13)<.001<.001*
 Hispanic vs White1.08 (0.69-1.69).7450.57 (0.35-0.96).033
 Asian vs White1.44 (0.71-2.94).3100.91 (0.37-2.23).841
 Other vs White0.78 (0.29-2.11).6270.60 (0.08-4.26).605
Metastatic presentation
 De Novo vs Recurrent1.08 (0.79-1.49).6200.78 (0.56-1.10).159
Number of metastases
 1 vs 3 or more0.62 (0.45-0.86).004.007*0.79 (0.55-1.14).207.365
 2 vs 3 or more0.72 (0.54-0.97).0030.85 (0.63-1.17).323
Location of metastatic site
 Non-Visceral vs Visceral0.83 (0.64-1.07).1520.71 (0.54-0.94).015*
Number of prior endocrine therapies
 1 vs 42.59 (1.39-4.82).003.004*5.93 (2.74-12.81)<.001<.001*
 2 vs 42.97 (1.57-5.63).0014.1 (1.87-8.96).004
 3 vs 41.96 (1.00-3.86).0512.32 (1.02-5.25).044
Exposure to prior CDK4/6i
 No vs yes1.1 (0.79-1.54).5770.95 (0.65-1.39).799
Prior exposure to taxanes in early stage
 No vs yes1.25 (0.97-1.60).0871.01 (0.77-1.33).946

Abbreviation: CDK4/6i, cyclin-dependent kinase 4 and 6 inhibitor. Italic/starred values indicates statistical significance

Table 4.

Multivariable Cox model for PFS.

ParameterHazard ratio (95% CI)P-value
Chemotherapeutic agent
 Capecitabine vs taxane0.69 (0.53-0.91).008*
Number of metastases
 1 vs 3 or more0.64 (0.45-0.89).008*
 2 vs 3 or more0.68 (0.51-0.91).010*
Number of prior endocrine therapies
 1 vs 42.54 (1.36-4.74).003*
 2 vs 42.95 (1.54-5.62).001*
 3 vs 42.00 (1.01-3.96).046*
ParameterHazard ratio (95% CI)P-value
Chemotherapeutic agent
 Capecitabine vs taxane0.69 (0.53-0.91).008*
Number of metastases
 1 vs 3 or more0.64 (0.45-0.89).008*
 2 vs 3 or more0.68 (0.51-0.91).010*
Number of prior endocrine therapies
 1 vs 42.54 (1.36-4.74).003*
 2 vs 42.95 (1.54-5.62).001*
 3 vs 42.00 (1.01-3.96).046*
Table 4.

Multivariable Cox model for PFS.

ParameterHazard ratio (95% CI)P-value
Chemotherapeutic agent
 Capecitabine vs taxane0.69 (0.53-0.91).008*
Number of metastases
 1 vs 3 or more0.64 (0.45-0.89).008*
 2 vs 3 or more0.68 (0.51-0.91).010*
Number of prior endocrine therapies
 1 vs 42.54 (1.36-4.74).003*
 2 vs 42.95 (1.54-5.62).001*
 3 vs 42.00 (1.01-3.96).046*
ParameterHazard ratio (95% CI)P-value
Chemotherapeutic agent
 Capecitabine vs taxane0.69 (0.53-0.91).008*
Number of metastases
 1 vs 3 or more0.64 (0.45-0.89).008*
 2 vs 3 or more0.68 (0.51-0.91).010*
Number of prior endocrine therapies
 1 vs 42.54 (1.36-4.74).003*
 2 vs 42.95 (1.54-5.62).001*
 3 vs 42.00 (1.01-3.96).046*
Progression-free Survival in patients receiving capecitabine versus taxane.
Figure 1.

Progression-free Survival in patients receiving capecitabine versus taxane.

Abbreviations: ET, endocrine therapy; HR+, hormone receptor positive; mILC, metastatic invasive lobular carcinoma; CAP, capecitabine; TAX, taxanes; PFS, progression-free survival; HR, Hazard ratio; 95% CI, 95% CI

In terms of OS, after a median follow-up of 103.7 months (95% CI 81.9-121.8) months, there were 136 deaths in the CAP group and 80 in the TAX group. There was no statistically significant OS difference in patients who received CAP versus those who received TAX (42.7 vs 36.6 months, HR 0.85, 95% CI 0.64-1.12, P = .214 for the log-rank test) (Fig. 2). In the univariate analysis, age, race, location of metastatic sites, and number of prior endocrine therapies were correlated with OS (Table 3). According to the multivariate analysis, the use of CAP versus TAX was not significantly associated with OS (HR 0.84, 95% CI 0.63-1.14, P = .272). Black race was an independent poor prognostic factor for OS compared to White race (HR 2.46, 95% CI 1.40-4.32, P = .001). Similar to PFS, a higher number of prior endocrine therapies was associated with better OS (Table 5).

Overall Survival in patients receiving capecitabine versus taxane.
Figure 2.

Overall Survival in patients receiving capecitabine versus taxane.

Abbreviations: ET, endocrine therapy; HR+, hormone receptor positive; mILC, metastatic invasive lobular carcinoma; CAP, capecitabine; TAX, taxanes; OS, overall survival; HR, hazard ratio; 95% CI, 95% CI

Table 5.

Multivariable Cox model for OS.

ParameterHazard ratio (95% CI)P-value
Chemotherapeutic agent
 Capecitabine vs taxane0.84 (0.63-1.14).272
Race
 Black vs White2.46 (1.40-4.32).001*
 Hispanic vs White0.64 (0.37-1.10).108
 Asian vs White0.72 (0.28-1.85).506
 Other vs White0.63 (0.08-4.59).653
Number of prior endocrine therapies
 1 vs 46.09 (2.8-13.22)<.001*
 2 vs 43.58 (1.62-7.92).001*
 3 vs 42.25 (0.99-5.12).052
Location of metastatic site
 Visceral vs non-visceral1.28 (0.96-1.71).086
ParameterHazard ratio (95% CI)P-value
Chemotherapeutic agent
 Capecitabine vs taxane0.84 (0.63-1.14).272
Race
 Black vs White2.46 (1.40-4.32).001*
 Hispanic vs White0.64 (0.37-1.10).108
 Asian vs White0.72 (0.28-1.85).506
 Other vs White0.63 (0.08-4.59).653
Number of prior endocrine therapies
 1 vs 46.09 (2.8-13.22)<.001*
 2 vs 43.58 (1.62-7.92).001*
 3 vs 42.25 (0.99-5.12).052
Location of metastatic site
 Visceral vs non-visceral1.28 (0.96-1.71).086
Table 5.

Multivariable Cox model for OS.

ParameterHazard ratio (95% CI)P-value
Chemotherapeutic agent
 Capecitabine vs taxane0.84 (0.63-1.14).272
Race
 Black vs White2.46 (1.40-4.32).001*
 Hispanic vs White0.64 (0.37-1.10).108
 Asian vs White0.72 (0.28-1.85).506
 Other vs White0.63 (0.08-4.59).653
Number of prior endocrine therapies
 1 vs 46.09 (2.8-13.22)<.001*
 2 vs 43.58 (1.62-7.92).001*
 3 vs 42.25 (0.99-5.12).052
Location of metastatic site
 Visceral vs non-visceral1.28 (0.96-1.71).086
ParameterHazard ratio (95% CI)P-value
Chemotherapeutic agent
 Capecitabine vs taxane0.84 (0.63-1.14).272
Race
 Black vs White2.46 (1.40-4.32).001*
 Hispanic vs White0.64 (0.37-1.10).108
 Asian vs White0.72 (0.28-1.85).506
 Other vs White0.63 (0.08-4.59).653
Number of prior endocrine therapies
 1 vs 46.09 (2.8-13.22)<.001*
 2 vs 43.58 (1.62-7.92).001*
 3 vs 42.25 (0.99-5.12).052
Location of metastatic site
 Visceral vs non-visceral1.28 (0.96-1.71).086

Discussion

This is the largest retrospective analysis to date to report outcomes of ET-refractory HR+ HER2− mILC subjects treated with the single-agent chemotherapies. Our analysis suggests that mILC subjects treated with CAP had better median PFS but not OS compared to those treated with TAX. We observed that the difference in PFS between CAP and TAX treatment is consistent with the results published by the Cochrane Breast Cancer Group that showed CAP to have a slight PFS advantage over TAX in HR+ mBC.19 The lack of difference in OS between CAP and taxane treatment is also consistent with results from other studies.15,20

To date, there is only one other publication that assessed the outcomes of patients with mILC to single-agent chemotherapy.21 In this study, the authors analyzed 118 patients with mILC from 3 clinical trials and they reported a median PFS of 4.1 months and median OS of 13.4 months when treated with single-agent eribulin.21 The difference in OS reported in the aforementioned study compared to our study accounts for the fact that all the patients who received eribulin were exposed to a least one prior chemotherapeutic agent, whereas in our study all patients were chemotherapy naïve in the metastatic setting.

The reasons for the difference in PFS between CAP and taxane treatment are not well understood. Capecitabine is an oral prodrug that is converted to its active form 5-fluorouracil in tumor tissues, mainly through the enzyme thymidine phosphorylase (TP). Studies have shown that TP expression in breast cancer cells may represent a biomarker of sensitivity to CAP treatment.22,23 Thus, one possible hypothesis is that ILC cells contain higher levels of TP, making CAP more effective in delaying progression. Another possibility is that CAP might be more effective at targeting the molecular pathways that drive the growth of mILC. Other treatment selection biases are possible when analyzing a retrospective patient cohort.

Recently, the antibody-drug conjugates trastuzumab deruxtecan (T-DXd) and sacituzumab govitecan have been shown to outperform chemotherapy in HR+ HER2− mBC. Our study is still relevant given that the ADCs were only studied after one prior chemotherapeutic agent in the metastatic setting.24,25

The finding on multivariate analysis that when compared to White race, Black race was an independent poor prognostic factor for OS in ET-refractory patients with mILC is concerning and raises important questions about possible race-associated biological differences.26,27 This finding reinforces the importance of conducting studies that aim to understand the underlying biological and genetic factors that may contribute to differences in cancer behavior among different racial and ethnic groups to tailor personalized treatment strategies.

We acknowledge several limitations to our study. The retrospective design of our study limits our ability to draw definitive conclusions about the superiority of one chemotherapeutic agent over the other. Moreover, the patients included in our study were based on single institution, hence the population might not be representative of all of patients with mILC. Finally, the medical records of some patients were incomplete, which limited the sample size.

Conclusion

The results of this study suggest that CAP may be a preferred treatment option for patients with mILC based on the longer PFS observed. However, it is important to note that further research or/and prospective clinical trial is needed to confirm the findings of this study.

Acknowledgment

The MD Anderson prospectively collected breast cancer database and its current director Dr. Carlos Barcenas. The project was presented as a poster at the European Society of Medical Oncology (ESMO) Breast Cancer Congress in Berlin, Germany, 11-13 May 2023.

Funding

The study analyses in this work were supported in part by the NIH/NCI Cancer Center Support Grant (Award number P30 CA016672) and the Cancer Prevention and Research Institute of Texas (CPRIT) grant that contributed to the recent updates of our database (CPRIT MIRA RP170067, RP170079, and RP180712).

Conflict of Interest

Jason A. Mouabbi reports consulting fees from GE Healthcare, Genentech, AstraZeneca, Gilead, Novartis, Fresenius Kabi, BostonGene, and Cardinal Health. Debasish Tripathy reports research support from Novartis and Pfizer along with consulting fees from Novartis, Pfizer, and AstraZeneca. Rachel Layman reports research support from Novartis, Pfizer, Eli Lilly, Accutar Biotechnology, Puma, Celcuity, Zentalis, and Arvinas along with consulting fees from Eli Lilly, Novartis, Celcuity, Gilead, Biotheryx. Wei Qaio, Yu Shen, and Akshara Singareeka Raghavendra report no conflict of interest.

Author Contributions

Conception/Design: J.A.M., D.T., and R.M.L. Provision of study material or patients: A.S.R., W.Q, and Y.S. Collection and/or assembly of data: A.S.R. Data analysis and interpretation: J.A.M, W.Q., and Y.S. Manuscript writing: J.A.M. Final approval of manuscript: J.A.M., W.Q., Y.S., A.S.R., D.T., and R.M.L.

Data Availability

The data that support the findings of this study are available from the corresponding author, upon reasonable request.

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