Literature DB >> 35292677

Short- and long-term recurrence of early-stage invasive ductal carcinoma in middle-aged and old women with different treatments.

Yuan Kao1,2, Ying-Jhen Wu3, Chien-Chin Hsu1, Hung-Jung Lin1,4, Jhi-Joung Wang5,6, Yu-Feng Tian7,8, Shih-Feng Weng9,10,11,12,13, Chien-Cheng Huang14,15.   

Abstract

Most new cases and the highest mortality rates of breast cancer occur among middle-aged and old women. The recurrence rate of early-stage invasive ductal carcinoma (IDC) among women aged ≥ 50 years and receiving different treatments remains unclear. Therefore, this study was conducted to determine these rates. We used Surveillance, Epidemiology, and End Results (SEER) data for this nationwide population-based cohort study. All women aged ≥ 50 years and diagnosed with early-stage IDC between 2000 and 2015 were identified and divided into three treatment groups, namely, breast conservation therapy (BCT), mastectomy alone (MAS), and mastectomy with radiation therapy (MAS + RT). The recurrence rates of IDC among these groups were then compared. The BCT group had a lower short-term recurrence risk than the MAS and MAS + RT groups (hazard ratio [HR]: 1.00 vs. 2.90 [95% CI 1.36-2.66] vs. 2.07 [95% CI 0.97-4.44]); however, the BCT group also had a higher long-term recurrence risk than MAS and MAS + RT groups (HR 1.00 vs. 0.30 [95% CI 0.26-0.35] vs. 0.43 [95% CI 0.30-0.63]). The high long-term recurrence rate of the BCT group was especially prominent at the 10- and 15-year follow-ups. The results provide valuable evidence of the most reliable treatment strategy for this population. Further studies including more variables and validation in other countries are warranted to confirm our findings.
© 2022. The Author(s).

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Year:  2022        PMID: 35292677      PMCID: PMC8924278          DOI: 10.1038/s41598-022-08328-4

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Breast cancer presents a great burden to public health and an important threat to women. According to breast cancer statistics in the United States, approximately 12% of all American women will develop invasive breast cancer in their lifetime[1]. Indeed, 276,480 new cases of female invasive breast cancer and 42,170 deaths from this disease are expected to occur in the country in 2020[1]. Second only to that of lung cancer, the mortality rate of breast cancer is higher than the mortality rates of other types of cancer[1]. In Taiwan, breast cancer is the most common female cancer, and this cancer was third leading cause of female cancer-related deaths in 2019[2]. The incidence rate of breast cancer is approximately 188–194 per 100,000 women[2]. Breast cancer is more common in middle-aged and old women than in younger women, and most deaths are recorded in women aged ≥ 65 years[3]. In 2017, women aged > 50 years made up 81% of all new female cases of invasive breast cancer in the United States[4]. In Taiwan, 66.6% of the women diagnosed with breast cancer in 2017 were aged > 50 years[5]. Invasive ductal carcinoma (IDC) is the most common type of invasive breast cancer (80%); invasive lobular carcinoma (7%–15%) ranks a distant second in terms of invasiveness[6]. According to statistics in Taiwan, IDC comprises approximately 85.7% of all newly diagnosed breast cancer cases[5]. Therefore, the development of suitable treatment strategies, especially for early-stage IDC, is an important issue for the female population. Common treatments for early-stage IDC include (1) breast conservation therapy (BCT), which involves breast-conserving surgery (BCS) plus postsurgical radiation, (2) mastectomy alone (MAS), and (3) mastectomy with radiation therapy (MAS + RT)[7]. A previous nationwide population-based study by the Surveillance, Epidemiology, and End Results (SEER) database revealed that women with early-stage IDC receiving BCT have better 5- and 10-year survival rates than those receiving MAS or MAS + RT[7]. However, this study included women aged ≥ 18 years, and the characteristics of this population may differ from those of middle-aged and old women. Few studies on recurrence rates following different treatments in middle-aged and old women with early-stage IDC have been published. Local recurrence is important to overall survival because local failure predicts distant metastasis in the future[8]. We conducted this nationwide population-based cohort study to assess the short- and long-term recurrence rates of early-stage IDC in middle-aged and old women following different treatments. Our hypothesis is that women receiving BCT will have a lower recurrence rate than those receiving MAS or MAS + RT.

Materials and methods

Data sources

We used SEER data reported by the National Cancer Institute for this study[9]. The SEER is a national population-based report of the most recent cancer incidence, prevalence, demographic characteristics, diagnosis time, tumor characteristics, surgery, RT, mortality, survival, and lifetime risk statistics in the United States[10]. It is published annually by the Surveillance Research Program of the National Cancer Institute in an effort to reduce the cancer burden among the United States population[10]. In the initial phase of the survey, seven registries (SEER 7) with epidemiologically significant population subgroups of racial and ethnic minorities were published. Since then, the database has been incrementally expanded to include 18 cancer registries (SEER 18)[11]. The SEER data can be applied for the analyses online.

Study design, setting, and participants

We used the SEER 18 database to conduct a nationwide population-based cohort study. Initially, all patients diagnosed with breast cancer as the primary cancer between 2000 and 2015 were identified (Fig. 1). The exclusion criteria were as follows: (1) male; (2) aged < 50 years; (3) ductal carcinoma in situ; (4) American Joint Committee on Cancer (AJCC) cancer staging was not T1-2, N0-1, or M0; (5) diagnosis was made only by autopsy or death certification; (6) survival < 1 month; (7) incomplete data (race, cancer stage, estrogen receptor [ER], progesterone receptor [PR], and marital status); (8) did not receive RT after BCS and did not receive MAS. Finally, middle-aged, and old women (age ≥ 50 years) diagnosed with early-stage IDC as the primary cancer between 2000 and 2015 were identified for the analyses. According to the AJCC, the definitions of early-stage IDC are as follows: (1) cancer stage: T1-2, N0-1, or M0; (2) positive lymph nodes ≤ 3 (patients with > 4 positive lymph nodes were excluded because RT is almost suggested in these patients); (3) tumor size < 5 cm[12]. Patients were divided into three treatment groups as follows: (1) BCT (BCS + RT), (2) MAS, and (3) MAS + RT.
Figure 1

Flowchart of this study. SEER, Surveillance, Epidemiology, and End Results; IDC, invasive ductal carcinoma; AJCC, American Joint Committee on Cancer; ER, estrogen receptor; PR, progesterone receptor; RT, radiotherapy; BCS, breast conservative surgery; BCT, breast conservative treatment (BCS + RT); MAS, mastectomy alone.

Flowchart of this study. SEER, Surveillance, Epidemiology, and End Results; IDC, invasive ductal carcinoma; AJCC, American Joint Committee on Cancer; ER, estrogen receptor; PR, progesterone receptor; RT, radiotherapy; BCS, breast conservative surgery; BCT, breast conservative treatment (BCS + RT); MAS, mastectomy alone.

Definitions of variables and outcomes

Age was divided into the following subgroups: (1) 50–59 years, (2) 60–69 years, (3) 70–79 years, (4) 80–89 years, and (5) ≥ 90 years (Table 1). Race was classified as white, black, and others. Marital status was classified as married, never married, widowed, and others. Tumor size was classified as ≤ 2 cm, 2–3 cm, 3–4 cm, and 4–5 cm. Tumor grade was classified as I, II, III, and IV based on histological findings. Positive lymph node(s) was classified as 0, 1, 2, and 3. ER and PR status were classified as positive and negative.
Table 1

Comparison of demographic and clinical characteristics among female patients with early-stage IDC receiving different treatments.

Overalln = 184,964100%BCTn = 132,51071.6%MASn = 46,58025.2%MAS + RTn = 58743.2%p-value
Age64.9 ± 9.564.0 ± 9.067.7 ± 10.563.4 ± 9.4 < 0.001
Age subgroup < 0.001
50–5962,403 (33.7)47,651 (36.0)12,389 (26.6)2363 (40.2)
60–6964,780 (35.0)48,859 (36.9)13,954 (30.0)1967 (33.5)
70–7942,638 (23.1)28,456 (21.5)13,032 (28.0)1150 (19.6)
80–8914,424 (7.1)7364 (5.6)6681 (14.3)379 (4.5)
 ≥ 90719 (0.4)180 (0.1)524 (1.1)15 (0.3)
Race < 0.001
White152,979 (82.7)111,883 (84.4)36,664 (78.7)4432 (75.5)
Black15,951 (8.6)10,801 (8.2)4385 (9.4)765 (13.0)
Others16,034 (8.7)9826 (7.4)5531 (11.9)677 (11.5)
Marital Status < 0.001
Married109,911 (59.4)82,327 (62.1)24,264 (52.1)3320 (56.5)
Never married22,629 (12.2)16,641 (12.6)5184 (11.1)804 (13.7)
Widowed32,113 (17.4)19,368 (14.6)11,735 (25.2)1010 (17.2)
Others20,311 (11.0)14,174 (10.7)5397 (11.6)740 (12.6)
Tumor size < 0.001
 ≤ 2 cm138,102 (74.7)107,296 (80.8)28,560 (61.3)2246 (38.2)
2–3 cm32,386 (17.5)19,123 (14.4)11,515 (24.7)1748 (29.8)
3–4 cm10,439 (5.6)4679 (3.5)4685 (10.1)1075 (18.3)
4–5 cm4037 (2.2)1412 (1.1)1820 (3.9)805 (13.7)
Tumor grade < 0.001
I45,683 (24.7)36,498 (27.5)8544 (18.3)641 (10.9)
II81,341 (44.0)58,677 (44.3)20,332 (43.7)2332 (39.7)
III56,782 (30.7)36,658 (27.7)17,281 (37.1)2843 (48.4)
IV1158 (0.6)677 (0.5)423 (0.9)58 (1.0)
Positive lymph node(s) < 0.001
0145,221 (78.5)109,718 (82.8)33,462 (71.8)2041 (34.8)
125,385 (13.7)15,748 (11.9)7969 (17.1)1668 (28.4)
29594 (5.2)4917 (3.7)3496 (7.5)1181 (20.1)
34764 (2.6)2127 (1.6)1653 (3.6)984 (16.8)
ER status < 0.001
Negative32,963 (17.8)20,793 (15.7)10,642 (22.9)1528 (26.0)
Positive152,001 (82.2)111,717 (84.3)35,938 (77.2)4346 (74.0)
PR status < 0.001
Negative53,561 (29.0)34,961 (26.4)16,321 (35.0)2279 (38.8)
Positive131,403 (71.0)97,549 (73.6)30,259 (65.0)3595 (61.2)

Data are presented as n (%) or mean ± standard deviation. IDC, invasive ductal carcinoma; BCT, breast conservative treatment; MAS, mastectomy; RT, radiotherapy; ER, estrogen receptor; PR, progesterone receptor.

Comparison of demographic and clinical characteristics among female patients with early-stage IDC receiving different treatments. Data are presented as n (%) or mean ± standard deviation. IDC, invasive ductal carcinoma; BCT, breast conservative treatment; MAS, mastectomy; RT, radiotherapy; ER, estrogen receptor; PR, progesterone receptor. The primary outcomes were short-term recurrence rate (< 1 year) and long-term recurrence rate (≥ 1 year). Recurrence times were tracked beginning on the day breast cancer was first diagnosed. Recurrence was defined as local tumor recurrence in the breast (after BCT), chest wall (after MAS), ipsilateral/parasternal/infra- or supraclavicular lymph nodes, and skin of the chest wall (not breast)[13]. Because the time of surgical resection of tumors is not available in the database we used, we choose to use the time of diagnosis as the beginning of recurrence-free survival according to previous study using the same database[14].

Statistical analysis

For descriptive statistics, we used frequencies and percentages to represent categorical variables and means with standard deviations (SDs) to represent continuous variables. For inferential statistics, we used the chi-squared test to investigate associations between the three treatment groups and categorical variables in the demographic and clinical characteristics. One-way ANOVA (analysis of variance) was used to investigate associations between the three treatment groups and continuous variables in the demographic characteristics. Kaplan–Meier analysis and log-rank tests were used to compare differences in the recurrence curves of the three treatment groups. The Cox proportional hazard model was used to investigate predictors for recurrence. We used SAS 9.4 to obtain descriptive and inferential statistics and STATA SE13.0 to draw the recurrence curves. The significance level was set to 0.05 (two-tailed).

Ethics approval and consent to participate

This study protocol was approved by the Institutional Review Board of Kaohsiung Medical University (Approval No. KMUHIRB-EXEMPT(II)-20190018). Informed consent was waived because we used deidentified secondary data from the SEER. The waiver does not affect the rights and welfare of the participants.

Results

Overall, 184,964 patients were included in this study (Table 1). The BCT group included 132,510 patients (71.6%), the MAS group included 46,580 patients (25.2%), and the MAS + RT group included 5874 patients (3.2%). The mean age was 64.9 years, more patients were in the 60–69-year subgroup than in other subgroups, and patients in the MAS group tended to be older than those in other groups. Most patients were white (82.7%). Most of the patients were married (59.4%) or widowed (17.4%). The most common tumor size was ≤ 2 cm (74.7%), and most patients in the BCT group had tumors of this size (80.8%). In terms of tumor grade, grade II tumors were the most common (44.0%), followed by grade III tumors (30.7%). In terms of lymph node involvement, zero positive lymph nodes (78.5%) were the most common, especially in the BCT group (82.8%). The MAS + RT group had a higher percentage of three positive lymph nodes than the BCT and MAS groups. ER- and PR-positive tumors were present in 82.2% and 71.0%, respectively, of the total population and more common in the BCT group than in other groups. The BCT group had a lower short-term recurrence rate than the MAS and MAS + RT groups (0.07% vs. 0.14% vs. 0.14%; Table 2). Multivariate Cox regression analysis also showed that the BCT group has a lower short-term recurrence risk than the MAS and MAS + RT groups (hazard ratio [HR]: 1.00 vs. 2.90 [95% CI 1.36–2.66] vs. 2.07 [95% CI 0.97–4.44]; Table 3 and Fig. 2). By contrast, the BCT group had a higher long-term recurrence rate than the MAS and MAS + RT groups (1.2% vs. 0.4% vs. 0.5%) (Table 2). Multivariate Cox regression analysis showed that the BCT group has a higher long-term recurrence risk than the MAS and MAS + RT groups (HR 1.00 vs. 0.30 [95% CI 0.26–0.35] vs. 0.43 [95% CI 0.30–0.63]; Table 4 and Fig. 2). In addition, in the short-term recurrence analysis, only age 80–89 years was an independent predictor of recurrence (Table 3). Age ≥ 90 years, black race, tumor grade II, and PR-negative tumors reasonably predicted long-term recurrence (Table 4).
Table 2

Comparison of short-term and long-term recurrence rates among treatments and demographic characteristics in female patients with early-stage IDC.

Short-term recurrenceLong-term recurrence
RecurrenceNon-recurrencep-valueRecurrenceNon-recurrencep-value
n = 168n = 184,796n = 1822n = 183,142
Treatment < 0.001 < 0.001
BCT95 (0.07)132,415 (99.93)1619 (1.2)130,891 (98.8)
MAS65 (0.14)46,515 (99.86)174 (0.4)46,406 (99.6)
MAS + RT8 (0.14)5866 (99.86)29 (0.5)5845 (99.5)
Age subgroup0.002 < 0.001
50–5940 (0.1)62,363 (99.9)756 (1.2)61,647 (98.8)
60–6961 (0.1)64,719 (99.9)624 (1.0)64,156 (99.0)
70–7941 (0.1)42,597 (99.9)360 (0.8)42,278 (99.2)
80–8924 (0.2)14,400 (99.8)75 (0.5)14,349 (99.5)
 ≥ 902 (0.3)717 (99.7)7 (1.0)712 (99.0)
Race0.267 < 0.001
White146 (0.1)152,833 (99.9)1533 (1.0)151,446 (99.0)
Black13 (0.1)15,938 (99.9)187 (1.2)15,764 (98.8)
Others9 (0.1)16,025 (99.9)102 (0.6)15,932 (99.4)
Marital Status0.0430.009
Married92 (0.08)109,818 (99.9)1145 (1.04)108,765 (98.96)
Never married20 (0.09)22,609 (99.91)224 (0.99)22,405 (99.01)
Widowed37 (0.12)32,076 (99.88)276 (0.86)31,837 (99.14)
Others19 (0.09)20,292 (99.91)177 (0.87)20,134 (99.13)
Tumor size0.533 < 0.001
 ≤ 2 cm126 (0.1)137,976 (99.9)1486 (1.1)136,616 (98.9)
2–3 cm32 (0.1)32,354 (99.9)255 (0.8)32,131 (99.2)
3–4 cm9 (0.1)10,430 (99.9)64 (0.6)10,375 (99.4)
4–5 cm1 (0.02)4036 (99.98)17 (0.4)4020 (99.6)
Tumor grade0.966 < 0.001
I41 (0.1)45,642 (99.9)394 (0.9)45,289 (99.1)
II77 (0.1)81,264 (99.9)850 (1.0)80,491 (99.0)
III49 (0.1)56,733 (99.9)556 (1.0)56 226 (99.0)
IV1 (0.1)1157 (99.9)22 (1.9)1136 (98.1)
Positive lymph node(s)0.3760.307
0124 (0.1)145,097 (99.9)1459 (1.0)143,762 (99.0)
126 (0.1)25,359 (99.9)241 (1.0)25,144 (99.1)
211 (0.1)9583 (99.9)81 (0.8)9513 (99.2)
37 (0.2)4757 (99.9)41 (0.9)4723 (99.1)
ER status0.07 < 0.001
Negative21 (0.1)32,942 (99.9)406 (1.2)32,557 (98.8)
Positive147 (0.1)151,854 (99.9)1416 (0.9)150,585 (99.1)
PR status0.652 < 0.001
Negative46 (0.1)53,515 (99.9)647 (1.2)52,914 (98.8)
Positive122 (0.1)131,281 (99.9)1175 (0.9)130,228 (99.1)

Data are presented as n (%). IDC, invasive ductal carcinoma; BCT, breast conservative treatment; MAS, mastectomy; RT, radiotherapy; ER, estrogen receptor; PR, progesterone receptor.

Table 3

Comparison of short-term recurrence rates using univariate and multivariate analyses among treatment and demographic characteristics in patients with breast cancer.

VariableUnivariate analysisMultivariate analysis
HR (95% CI)p-valueHR (95% CI)p-value
Treatment
BCT1.00 (reference)1.00 (reference)
MAS1.95 (1.42–2.67) < 0.0011.90 (1.36–2.66) < 0.001
MAS + RT1.89 (0.92–3.90)0.0832.07 (0.97–4.44)0.061
Age group
50–591.00 (reference)1.00 (reference)
60–691.47 (0.99–2.20)0.0571.43 (0.96–2.14)0.081
70–791.50 (0.97–2.32)0.0671.36 (0.87–2.15)0.180
80–892.60 (1.57–4.32) < 0.0012.15 (1.24–3.75)0.007
 ≥ 904.40 (1.06–18.19)0.0413.31 (0.77–14.25)0.108
Race
White1.00 (reference)1.00 (reference)
Black0.86 (0.49–1.51)0.5920.89 (0.50–1.59)0.691
Others0.59 (0.30–1.16)0.1260.58 (0.30–1.14)0.113
Marital status
Married1.00 (reference)1.00 (reference)
Never married1.06 (0.65–1.71)0.8231.05 (0.65–1.71)0.843
Widowed1.38 (0.94–2.02)0.1011.01 (0.66–1.54)0.970
Others1.12 (0.69–1.84)0.6481.13 (0.68–1.85)0.643
Tumor size
 ≤ 2 cm1.00 (reference)1.00 (reference)
2–3 cm1.09 (0.74–1.60)0.6800.91 (0.60–1.37)0.653
3–4 cm0.95 (0.48–1.86)0.8760.71 (0.35–1.44)0.347
4–5 cm0.27 (0.04–1.95)0.1960.19 (0.03–1.40)0.103
Tumor grade
I1.00 (reference)1.00 (reference)
II1.05 (0.72–1.54)0.7901.02 (0.70–1.50)0.902
III0.96 (0.63–1.45)0.8411.07 (0.67–1.69)0.780
IV0.95 (0.13–6.90)0.9581.02 (0.14–7.52)0.982
Positive lymph node(s)
01.00 (reference)1.00 (reference)
11.20 (0.79–1.83)0.4001.14 (0.74–1.75)0.565
21.34 (0.72–2.49)0.3511.23 (0.65–2.32)0.524
31.71 (0.80–3.67)0.1661.55 (0.70–3.43)0.275
ER status
Negative1.00 (reference)1.00 (reference)
Positive1.52 (0.97–2.41)0.0711.78 (1.00–3.18)0.051
PR status
Negative1.00 (reference)1.00 (reference)
Positive1.09 (0.77–1.52)0.6380.84 (0.55–1.28)0.417

HR, hazard ratio; CI, confidence interval; BCT, breast conservative treatment; MAS, mastectomy; RT, radiotherapy; ER, estrogen receptor; PR, progesterone receptor.

Figure 2

Comparison of short- and long-term recurrence rates among female patients with early-stage IDC receiving different treatments. IDC, invasive ductal carcinoma; HR, hazard ratio; CI, confidence interval; BCT, breast conservative treatment; MAS, mastectomy; RT, radiotherapy.

Table 4

Comparison of long-term recurrence rates by using univariate and multivariate analyses among treatment and demographic characteristics in patients with breast cancer.

VariableUnivariate analysisMultivariate analysis
HR (95% CI)p-valueHR (95% CI)p-value
Treatment
BCT1.00 (reference)1.00 (reference)
MAS0.30 (0.26–0.35) < 0.0010.30 (0.26–0.35) < 0.001
MAS + RT0.43 (0.30–0.63) < 0.0010.43 (0.30–0.63) < 0.001
Age group
50–591.00 (reference)1.00 (reference)
60–690.93 (0.84–1.03)0.1780.96 (0.86–1.06)0.400
70–790.85 (0.75–0.97)0.0120.93 (0.82–1.06)0.285
80–890.69 (0.54–0.87)0.0020.85 (0.67–1.09)0.209
 ≥ 902.27 (1.08–4.78)0.0313.42 (1.61–7.24) < 0.001
Race
White1.00 (reference)1.00 (reference)
Black1.44 (1.23–1.67) < 0.0011.42 (1.22–1.66) < 0.001
Others0.69 (0.56–0.84) < 0.0010.75 (0.62–0.92)0.006
Marital status
Married1.00 (reference)1.00 (reference)
Never married1.03 (0.89–1.19)0.6940.99 (0.85–1.14)0.857
Widowed0.93 (0.81–1.06)0.2581.04 (0.90–1.19)0.634
Others0.99 (0.85–1.16)0.9240.98 (0.84–1.15)0.811
Tumor size
 ≤ 2 cm1.00 (reference)1.00 (reference)
2–3 cm0.84 (0.73–0.96)0.0090.91 (0.79–1.04)0.171
3–4 cm0.72 (0.56–0.92)0.0090.85 (0.66–1.10)0.217
4–5 cm0.53 (0.33–0.85)0.0090.68 (0.42–1.10)0.116
Tumor grade
I1.00 (reference)1.00 (reference)
II1.20 (1.06–1.35)0.0031.24 (1.10–1.39) < 0.001
III1.16 (1.02–1.32)0.0251.12 (0.96–1.29)0.142
IV1.45 (0.94–2.22)0.0921.46 (0.95–2.26)0.088
Positive lymph node(s)
01.00 (reference)1.00 (reference)
10.94 (0.82–1.08)0.3831.04 (0.91–1.19)0.584
20.84 (0.67–1.05)0.1271.00 (0.80–1.26)0.998
30.85 (0.63–1.16)0.3141.08 (0.79–1.48)0.633
ER status
Negative1.00 (reference)1.00 (reference)
Positive0.79 (0.71–0.88) < 0.0010.88 (0.75–1.03)0.118
PR status
Negative1.00 (reference)1.00 (reference)
Positive0.78 (0.71–0.86) < 0.0010.80 (0.70–0.91) < 0.001

HR, hazard ratio; CI, confidence interval; BCT, breast conservative treatment; MAS, mastectomy; RT, radiotherapy; ER, estrogen receptor; PR, progesterone receptor.

Comparison of short-term and long-term recurrence rates among treatments and demographic characteristics in female patients with early-stage IDC. Data are presented as n (%). IDC, invasive ductal carcinoma; BCT, breast conservative treatment; MAS, mastectomy; RT, radiotherapy; ER, estrogen receptor; PR, progesterone receptor. Comparison of short-term recurrence rates using univariate and multivariate analyses among treatment and demographic characteristics in patients with breast cancer. HR, hazard ratio; CI, confidence interval; BCT, breast conservative treatment; MAS, mastectomy; RT, radiotherapy; ER, estrogen receptor; PR, progesterone receptor. Comparison of short- and long-term recurrence rates among female patients with early-stage IDC receiving different treatments. IDC, invasive ductal carcinoma; HR, hazard ratio; CI, confidence interval; BCT, breast conservative treatment; MAS, mastectomy; RT, radiotherapy. Comparison of long-term recurrence rates by using univariate and multivariate analyses among treatment and demographic characteristics in patients with breast cancer. HR, hazard ratio; CI, confidence interval; BCT, breast conservative treatment; MAS, mastectomy; RT, radiotherapy; ER, estrogen receptor; PR, progesterone receptor. Subgroup analysis of short-term recurrence showed that the BCT group has a lower recurrence rate at 6 months (Supplementary Table 1 and Supplementary Fig. 1) than the other groups. Long-term recurrence analysis showed that the BCT group has a higher recurrence rate than the MAS and MAS + RT groups at the 10- and 15-year follow-ups (Supplementary Table 2 and Supplementary Fig. 2). The follow-up rates and numbers of subjects at risk at each follow-up time-points was showed in the Supplementary Table 3. The 1-yr, 3-yr, 5-yr cumulative recurrence rates and 95% CIs of three treatment groups was showed in the Supplementary Table 4. Competing risk analysis with adjustment for demographic and clinical characteristics revealed that the BCT group (reference) has a lower short-term recurrence risk than the MAS (HR 1.90, p < 0.001) and MAS + RT (HR 2.08, p = 0.048) groups. Moreover, the BCT group (reference) had a higher long-term recurrence risk than the MAS (HR 0.28, p < 0.001) and MAS + RT (HR 0.42, p < 0.001) groups. The proportionality assumption of Cox proportional hazard model was checked by plotting log minus log (log(−log(S(t))) vs. t) in the model. The parallelism in the plot indicates the proportionality assumption was satisfied (Supplementary Fig. 3).

Discussion

The present study showed that most breast cancer patients receive BCT, followed by MAS and MAS + RT. Patients who received BCT were more likely to be of white race and have a smaller tumor size, lower tumor grade, fewer positive lymph nodes, and larger number of ER- and PR-positive tumors than patients in other groups. Compared with the MAS and MAS + RT groups, the BCT group had a lower short-term recurrence risk but a higher long-term recurrence risk, especially at the 10 and 15-year follow-ups. Age ≥ 90 years, black race, tumor grade II, and PR-negative tumors were independent predictors for long-term recurrence. We confirmed that the BCT group has a higher long-term recurrence risk than the MAS and MAS + RT groups; this result sheds some light on what a long-disputed issue in the literature has been. The possible explanations for the higher long-term recurrence risk in the BCT group are incomplete surgical removal of tumor cells of precancerous lesions, subclinical lesions, or malignant cells not eradicated by RT[15,16]. A previous study using the same database with this study showed that the BCT group has a higher long-term survival rate than MAS group and MAS + RT group[7]. However, the present study focused on middle-aged and old women, different from the study recruiting all women ≥ 18 years[7]. Another difference is that the present study was conducted to investigate recurrence, not survival. Therefore, using BCT for prevention of recurrence rate in middle-aged and old women with early-stage IDC should be more cautious. Further investigation about the different effect is warranted. Risk of recurrence has a great influence on patients with breast cancer because this risk causes patients to live with a constant fear of death[17]. The reasons behind local recurrence remain largely unknown[17], but the possible mechanisms include the existence of cancer stem cells and transformation of cancer cells into a relatively aggressive phenotype[17]. Cancer stem cells and transformed cancer cells are highly metastatic and resistant to conventional therapies[17]. A high percentage of aggressive cells is a feature of recurrent breast cancers[17]. Many clinical predictors for recurrence, including ER-negative, PR-negative, human epidermal growth factor receptor 2 (HER-2)-positive, triple-negative breast cancers, age, race, menopausal status, smoking, mammographic features, tumor morphology, tumor size, tumor stage, lymph node metastases, and gene expression profiling, have been proposed[17,18]. Age ≥ 90 years, which has not been fully studied in the literature, was identified to be an independent predictor for long-term recurrence in the present study. A large population-based study in the Netherlands in 2020 reported that patients aged 75–79 years were at higher risk of distant recurrence than patients aged 70–74 years (subdistribution HR 1.25; 95% CI 1.11–1.41); however, age ≥ 80 years did not show this higher risk[19]. The authors attributed their findings to several reasons: (1) patients in the aged 75–79 years were undertreated, (2) the risk of death without recurrence increases with age, and (3) patients with a high competing mortality risk were overtreated[19]. Another population-based study in Germany in 2019 revealed that patients aged < 70 years have higher 5- and 10-year locoregional recurrence and distant metastasis rates than those aged ≥ 70 years (17% vs. 13%)[20]. More evidence is needed to clarify this finding. Black race was a risk factor for cancer recurrence in the present study, consistent with findings in previous studies[18]. Racial disparities may be due to socioeconomic factors and a more aggressive tumor biology among African–Americans[18]. Tumor grade was also associated with poor outcomes[18]. The present study revealed that tumor grade II is associated with long-term recurrence. While patients with tumor grades III and IV were at higher risk for long-term recurrence than those with tumor grade I, the difference between grades was not significant. PR-negative is a predictor for recurrence, and the results between the present and previous studies are consistent[18]. In general, breast cancers that are single hormone receptor-positive appear to have a poorer prognosis than those that are both ER- and PR-positive[18]. The present study also revealed a higher long-term recurrence risk in patients with ER-negative breast cancer than in those with ER-positive breast cancer; however, the difference was not significant (HR 1.13; 95% CI 0.97–1.33). The major strengths of the present study include its nationwide population-based design, large sample size, and clear delineation of the knowledge gap in research on the recurrence rate of early-stage IDC in women aged ≥ 50 years. The limitations are as follows. First, the data were obtained from various institutions and may have bias in terms of treatment and quality. Second, because the present study conducts a secondary analysis of data, the results can only suggest associations between variables rather than causal relationships. Third, some variables, including genetic data, lymphovascular invasion, size of metastatic lymph nodes, resection margins, adjuvant therapies (e.g., chemotherapy and endocrine therapy), and HER2, were not considered in the present study because data on these variables were made available only after 2010. Fourth, because the data used for our analyses are from the United States, their generalization to other countries requires further validation. In the future, we plan to use the breast cancer database in Taiwan to validate the finding in this study.

Conclusion

This nationwide population-based cohort study revealed that, among middle-aged and old women with early-stage IDC, the BCT group has a lower short-term recurrence risk but a higher long-term recurrence risk than the MAS and MAS + RT groups, especially at the 10- and 15-year follow-ups. Using BCT should be cautious for its higher long-term recurrence in middle-aged and old women with early-stage IDC. The results fill the knowledge gap in research on the long- and short-term recurrence rates of IDC and provide valuable evidence of the most reliable treatment strategy for this population. Further studies, including more variables and validation in other countries, are warranted to confirm our findings. Supplementary Information.
  11 in total

1.  Prognosis after ipsilateral breast tumor recurrence and locoregional recurrences in five National Surgical Adjuvant Breast and Bowel Project node-positive adjuvant breast cancer trials.

Authors:  Irene L Wapnir; Stewart J Anderson; Eleftherios P Mamounas; Charles E Geyer; Jong-Hyeon Jeong; Elizabeth Tan-Chiu; Bernard Fisher; Norman Wolmark
Journal:  J Clin Oncol       Date:  2006-05-01       Impact factor: 44.544

Review 2.  The Surveillance, Epidemiology, and End Results (SEER) Program and Pathology: Toward Strengthening the Critical Relationship.

Authors:  Máire A Duggan; William F Anderson; Sean Altekruse; Lynne Penberthy; Mark E Sherman
Journal:  Am J Surg Pathol       Date:  2016-12       Impact factor: 6.394

Review 3.  Breast Cancer in Women Older Than 80 Years.

Authors:  Shlomit Strulov Shachar; Arti Hurria; Hyman B Muss
Journal:  J Oncol Pract       Date:  2016-02       Impact factor: 3.840

4.  Impact of Older Age and Comorbidity on Locoregional and Distant Breast Cancer Recurrence: A Large Population-Based Study.

Authors:  Anna Z de Boer; Heleen C van der Hulst; Nienke A de Glas; Perla J Marang-van de Mheen; Sabine Siesling; Linda de Munck; Kelly M de Ligt; Johanneke E A Portielje; Esther Bastiaannet; Gerrit Jan Liefers
Journal:  Oncologist       Date:  2019-09-12

5.  Effect of breast conservation therapy vs mastectomy on disease-specific survival for early-stage breast cancer.

Authors:  Shailesh Agarwal; Lisa Pappas; Leigh Neumayer; Kristine Kokeny; Jayant Agarwal
Journal:  JAMA Surg       Date:  2014-03       Impact factor: 14.766

6.  Various types and management of breast cancer: an overview.

Authors:  Ganesh N Sharma; Rahul Dave; Jyotsana Sanadya; Piush Sharma; K K Sharma
Journal:  J Adv Pharm Technol Res       Date:  2010-04

7.  Risk of loco-regional recurrence and distant metastases of patients with invasive breast cancer up to ten years after diagnosis - results from a registry-based study from Germany.

Authors:  Bernd Holleczek; Christa Stegmaier; Julia C Radosa; Erich-Franz Solomayer; Hermann Brenner
Journal:  BMC Cancer       Date:  2019-05-30       Impact factor: 4.430

8.  The association of young age with local recurrence in women with early-stage breast cancer after breast-conserving therapy: a meta-analysis.

Authors:  Xiang-Ming He; De-Hong Zou
Journal:  Sci Rep       Date:  2017-09-11       Impact factor: 4.379

Review 9.  Local and Regional Breast Cancer Recurrences: Salvage Therapy Options in the New Era of Molecular Subtypes.

Authors:  Yazid Belkacemi; Nivin E Hanna; Clementine Besnard; Soufya Majdoul; Joseph Gligorov
Journal:  Front Oncol       Date:  2018-04-17       Impact factor: 6.244

10.  Survival and recurrence after intraperitoneal chemotherapy use: Retrospective review of ovarian cancer hospital registry data.

Authors:  Shalkar Adambekov; Samia Lopa; Robert P Edwards; Lara Lemon; Shu Wang; Sarah E Taylor; Brian Orr; Faina Linkov
Journal:  Cancer Med       Date:  2020-08-19       Impact factor: 4.452

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