Literature DB >> 31113872

Risk factors for distant metastasis of patients with primary triple-negative breast cancer.

Yi Yao1, Yuxin Chu1, Bin Xu1, Qinyong Hu1, Qibin Song2.   

Abstract

Objective: Triple-negative breast cancer (TNBC) involves higher rates of recurrence and distant metastasis. The present study sought to characterize the risk factors for distant metastasis of TNBC.
Methods: The Surveillance, Epidemiology, and End Results (SEER) database was exploited to enroll patients diagnosed with TNBC from 2010 to 2015. The eligible patients were dichotomized into locoregional and distant metastasis at the time of diagnosis. Patients' demographics and tumor features, and treatment were evaluated to identify the risk factors for distant metastasis of primary TNBC. The categorical variables were examined by chi-square tests. Univariate and multivariate logistic regression analyses were used to determine the risk factors for distant metastasis. Breast cancer-specific survival (BCSS) and overall survival (OS) were estimated by Kaplan-Meier plots with log-rank tests.
Results: We collected 26863 patients with primary TNBC, 1330 (5.0%) of them presented with distant metastasis. In the univariate analysis, all the variables indicated statistical significance. The significant variables were subsequently enlisted into the multivariate logistic regression analysis. Age > 50, higher clinical stage T and N, and tumor size > 5 cm were independent risk factors for distant metastasis of primary TNBC. Moreover, higher clinical stage T and stage N were independent risk factors for bone metastasis of the patients. TNBC patients with either bone or visceral metastasis have poor survival, with brain metastasis worst of all, though the OS difference was not statistically significant.Conclusions: TNBC patients with larger age, higher clinical stage, larger tumor size were more predisposed to have distant metastasis. Great attention should be paid to the prognosis of these patients with distant metastasis.
© 2019 The Author(s).

Entities:  

Keywords:  TNBC; distant metastasis; risk factor

Year:  2019        PMID: 31113872      PMCID: PMC6549086          DOI: 10.1042/BSR20190288

Source DB:  PubMed          Journal:  Biosci Rep        ISSN: 0144-8463            Impact factor:   3.840


Introduction

Triple-negative breast cancer (TNBC) is a highly aggressive subtype of tumors that lack estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2), which represents 15–20% of all breast cancers [1]. As the most lethal subtype of breast cancer, patients with TNBC have a high propensity for distant metastasis and limited treatment options, remaining a clinical challenge for oncologists [2]. Particularly, the TNBC was associated with a significantly poorer overall survival (OS) and prone to earlier recurrence and metastasis [3]. Considering the high risk of TNBC patients who are susceptible to develop distant metastasis, accurate breast cancer screening may help to reduce mortality by early detection of distant metastasis [4]. However, there is a relatively limited number of studies demonstrating reliable data on the relationship between traditional clinicopathological characteristics and metastatic pattern of TNBC. Most studies focus on metastatic tumors, neglecting adequate insight into cases without metastasis [5]. Moreover, the prognostic significance of distant metastasis pattern for TNBC patients at initial diagnosis has not been adequately evaluated. Studying the risk factors associated with distant metastasis of TNBC may contribute to the screening of patients at high risk and initiate early intervention. The present study exploited the Surveillance, Epidemiology, and End Results (SEER) database to enroll a large population of TNBC cases for analysis. We investigated patients’ demographics (age, race, and marital status), tumor features (histologic type, grade, clinical stage T and N, tumor size), and treatment (surgery, chemotherapy, radiotherapy), in order to identify risk factors for distant metastasis of primary TNBC. The findings from the present study may lead to a deeper insight into the clinicopathological factors that will predict distant metastasis of TNBC prior to diagnosis. Our investigation will hopefully optimize the current evaluation of TNBC patients’ risk of distant metastasis at initial diagnosis and help make more suitable medical decisions.

Methods

Data source

All the data were acquired from the SEER 18 registries Research Data. We have submitted the data agreement form to the SEER administration. The data released by the SEER database do not require informed patient consent because cancer is a reportable disease in every state of the United States.

Patient selection

We used SEER*Stat version 8.3.5 to download data files directly. We used the following inclusion criteria to select eligible patients: (i) female breast cancer diagnosed from 2010 to 2015; (ii) unilateral breast cancer as the first and only cancer diagnosis; (iii) the breast cancer subtype was triple negative. (ii) The behavior recode for analysis was malignant. The diagnosis was not obtained from a death certificate or autopsy. We made a case table with information on the following variables: age at diagnosis, race recode, marital status, histologic type, grade, AJCC stage T and N, tumor size, surgery, chemotherapy, and radiotherapy. The patients with unknown data of these variables were excluded.

Statistical analysis

Descriptive statistical analysis (chi-square test) was adopted to calculate the frequencies and proportion of patients presenting with localized/regional or distant metastatic TNBC according to the incorporated variables above. Univariate logistic regression analysis was used to preliminarily screen variables as potential risk factors related to distant metastasis. Subsequently, multivariate logistic regression analysis was utilized to adjust the confounding factors and verify the risk factors determined in the univariate analysis. For each variable, crude odds ratio (OR) and adjusted OR with 95% confidence interval (CI) were recorded in logistic regression analysis. The differences of breast cancer-specific survival (BCSS) and OS among each distant metastasis were analyzed by Kaplan–Meier plots with log-rank tests. All the statistical analysis were performed using SPSS statistical software, version 23.0 (SPSS, Chicago, IL, U.S.A.). A two-tailed P<0.05 was considered statistically significant.

Results

According to the aforementioned inclusion criteria, we preliminarily identified a total of 31942 women with primary TNBC from the SEER database. These patients had been diagnosed from 2010 to 2015. We subsequently excluded 5079 patients missing data of table variables. Ultimately, 26863 eligible patients were included in the present study.

Patient and tumor characteristics

Among the included 26863 patients, 25533 women were locoregional, while the remainder 1330 patients (5.0%) had distant metastasis. The differences between locoregional and distant metastatic groups for all the variables indicated statistical significance (P<0.05) according to chi-square test. In the distant metastatic group, age 50–65 (42.0%), white race (68.0%), not married (55.7%), histologic type 8500 (82.2%), grade III (81.0%), stage T IV (41.0%), stage N1 (44.7%), tumor size > 5.0 cm (49.0%), no surgery (53.0%), chemotherapy (78.3%), and no radiotherapy (79.2%) are most remarkable. By contrast, more metastatic patients were age > 65 (32.1 vs 29.0%), black race (25.5 vs 20.2%), not married (55.7 vs 42.6%), other histologic type (14.1 vs 8.6%), grade IV (1.7 vs 0.8%), stage T III (19.2 vs 8.5%) and T IV (41.0 vs 4.6%), stage N3 (23.0 vs 3.9%), tumor size > 5 cm (49.0 vs 11.9%), no surgery (53.0 vs 4.0%), chemotherapy (78.3 vs 75.3%), and no radiotherapy (79.2 vs 50.0%). Furthermore, the risks for distant metastasis of primary TNBC seem to increase with age, grade, clinical stage T and N, and tumor size. Generally, the patients with higher age, black race, not married, other histologic type, higher grade, higher stage T and N, larger tumor size, no surgery, and no radiotherapy are more inclined to have distant metastasis. Further details of baseline data are available in Table 1.
Table 1

Demographics of TNBC patients dichotomized by distant metastasis (n=26863)

CharacteristicsTotal, n (%)Locoregional, n (%)Distant metastasis, n (%)P-value
n=26863n=25533 (95.0)n=1330 (5.0)
Age (years)<0.001
<351335 (5.0)1271 (5.0)64 (4.8)
35–507099 (26.4)6818 (26.7)281 (21.1)
50–6510596 (39.4)10038 (39.3)558 (42.0)
>657833 (29.2)7406 (29.0)427 (32.1)
Race<0.001
White19316 (71.9)18411 (72.1)905 (68.0)
Black5505 (20.5)5166 (20.2)339 (25.5)
Others2042 (7.6)1956 (7.7)86 (6.5)
Marital status<0.001
Not married11622 (43.3)10881 (42.6)741 (55.7)
Married15241 (56.7)14652 (57.4)589 (44.3)
Histologic type<0.001
850023020 (85.7)21927 (85.9)1093 (82.2)
8523764 (2.8)747 (2.9)17 (1.3)
8575683 (2.5)651 (2.5)32 (2.4)
Other2396 (8.9)2208 (8.6)188 (14.1)
Grade<0.001
I546 (2.0)532 (2.1)14 (1.1)
II4585 (17.1)4368 (17.1)217 (16.3)
III21509 (80.1)20432 (80.0)1077 (81.0)
IV223 (0.8)201 (0.8)22 (1.7)
Stage T<0.001
I11371 (42.3)11239 (44.0)132 (9.9)
II11367 (42.3)10969 (43.0)398 (29.9)
III2417 (9.0)2162 (8.5)255 (19.2)
IV1708 (6.4)1163 (4.6)545 (41.0)
Stage N<0.001
017268 (64.3)16998 (66.6)270 (20.3)
16611 (24.6)6016 (23.6)595 (44.7)
21674 (6.2)1515 (5.9)159 (12.0)
31310 (4.9)1004 (3.9)306 (23.0)
Tumor size (cm)<0.001
<1.03692 (13.7)3653 (14.3)39 (2.9)
1.0–2.07657 (28.5)7533 (29.5)124 (9.3)
2.0–5.011819 (44.0)11304 (44.3)515 (38.7)
>5.03695 (13.8)3043 (11.9)652 (49.0)
Surgery<0.001
No1724 (6.4)1018 (4.0)706 (53.0)
Yes25139 (93.6)24515 (96.0)624 (46.9)
Chemotherapy
0.014
No6596 (24.6)6307 (24.7)289 (21.7)
Yes20267 (75.4)19226 (75.3)1041 (78.3)
Radiotherapy<0.001
No13822 (51.5)12769 (50.0)1053 (79.2)
Yes13041 (48.5)12764 (50.0)277 (20.8)

8500, Intraductal carcinoma; 8523, Infiltrating duct mixed with other type of carcinoma; 8575, Metaplastic carcinoma.

8500, Intraductal carcinoma; 8523, Infiltrating duct mixed with other type of carcinoma; 8575, Metaplastic carcinoma.

Risk factors for distant metastasis of the entire TNBC cohort

All the variables used in chi-square test are also recruited into univariate logistic regression analysis. The univariate logistic model exhibited increased odds of distant metastasis among patients who were of black race (OR = 1.3; 95% CI = 1.2–1.5, P<0.001), other histologic type (OR = 1.7; 95% CI = 1.5–2.0, P<0.001), grades II–IV, stage T II–IV, stage N1–3, tumor size > 1 cm (all OR > 1, P<0.05). Comparatively, those patients who were married (OR = 0.6; 95% CI = 0.5–0.7, P<0.001), histologic type 8523 (OR = 0.5; 95% CI = 0.3–0.7, P=0.002), surgery (OR = 0.09; 95% CI = 0.07–0.10, P<0.001), and radiotherapy (OR = 0.3; 95% CI = 0.2–0.4, P<0.001), indicated decreased odds of distant metastasis. More specifically, the multivariate logistic regression analysis revealed an increased risk of distant metastasis among patients with age > 50, stage T III–IV, stage N1-3, tumor size > 5 cm (all OR > 1, P<0.05), but a decreased risk of distant metastasis among patients with other race, histologic type 8523, surgery and radiotherapy (all OR < 1, P<0.05). Hence age > 50, stage T III–IV, higher stage N, tumor size > 5 cm were independent risk factors for distant metastasis of primary TNBC. The detailed results of logistic regression analysis can be found in Table 2.
Table 2

Risk factors associated with distant metastasis of TNBC patients (n=26863)

VariablesUnivariate logistic modelMultivariate logistic model
OR (95% CI)P-valueOR (95% CI)P-value
Age (years)
<35ReferenceReference
35–500.8 (0.6–1.1)0.1581.1 (0.8–1.5)0.623
50–651.1 (0.8–1.4)0.4651.7 (1.2–2.3)0.001
>651.1 (0.9–1.5)0.3241.6 (1.1–2.2)0.005
Race
WhiteReferenceReference
Black1.3 (1.2-1.5)<0.0011.0 (0.9–1.2)0.944
Others0.9 (0.7–1.1)0.3330.7 (0.5–0.9)0.014
Marital status
Not marriedReferenceReference
Married0.6 (0.5–0.7)<0.0010.9 (0.8–1.1)0.085
Histologic type
8500ReferenceReference
85230.5 (0.3–0.7)0.0020.5 (0.3–1.0)0.036
85751.0 (0.7–1.4)0.9391.2 (0.8–1.8)0.383
Other1.7 (1.5–2.0)<0.0011.0 (0.8–1.2)0.773
Grade
IReference
II1.9 (1.1–3.3)0.0231.1 (0.6–2.2)0.704
III2.0 (1.2–3.4)0.0111.1 (0.6–2.1)0.823
IV4.2 (2.1–8.3)<0.0011.3 (0.6–3.1)0.532
Stage T
IReferenceReference
II3.1 (2.5–3.8)<0.0011.6 (0.9–2.8)0.077
III10.0 (8.1–12.5)<0.0012.3 (1.4–3.9)0.001
IV39.9 (32.7–48.7)<0.0016.0 (3.7–9.7)<0.001
Stage N
0ReferenceReference
16.2 (5.4–7.2)<0.0013.0 (2.6–3.6)<0.001
26.6 (5.4–8.1)<0.0013.5 (2.8–4.5)<0.001
319.2 (16.1–22.9)<0.0017.8 (6.3–9.7)<0.001
Tumor size (cm)
<1.0ReferenceReference
1.0–2.01.5 (1.1–2.2)0.0191.2 (0.8–1.8)0.316
2.0–5.04.3 (3.1–5.9)<0.0011.3 (0.7–2.4)0.355
>5.020.1 (14.5–27.8)<0.0011.9 (1.1–3.3)0.021
Surgery
NoReferenceReference
Yes0.04 (0.03–0.05)<0.0010.09 (0.07–0.10)<0.001
Chemotherapy
NoReference
Yes1.2 (1.1–1.4)0.0141.2 (0.9–1.5)0.055
Radiotherapy
NoReferenceReference
Yes0.3 (0.2–0.4)<0.0010.5 (0.4–0.6)<0.001

Abbreviation: NI, not included.

8500, Intraductal carcinoma; 8523, Infiltrating duct mixed with other type of carcinoma; 8575, Metaplastic carcinoma.

Abbreviation: NI, not included. 8500, Intraductal carcinoma; 8523, Infiltrating duct mixed with other type of carcinoma; 8575, Metaplastic carcinoma.

Risk factors for bone metastasis of the TNBC patients

In order to characterize which factors would lead to the higher probability of bone metastasis in the TNBC patients, we specifically focused on those patients with bone-only metastasis and excluded 817 patients with other metastasis from the entire cohort. In univariate logistic regression analysis, black race (OR = 1.5; 95% CI = 1.2–2.0, P=0.003), other histologic type (OR = 1.9; 95% CI = 1.3–2.6, P<0.001), higher stage T and N (OR > 1; P<0.001), tumor size > 2 cm (OR > 1; P<0.001), were significantly associated with higher risks of bone-only metastasis. The ORs of grade and chemotherapy (P>0.05) were insignificant in univariate logistic regression analysis, so they were not enrolled into the subsequent multivariate analysis. After adjusting confounding factors, the multivariate logistic regression model confirmed that clinical stage T>I and N>0 (OR > 1; P<0.001) were still significantly associated with higher risks of bone-only metastasis. As a result, higher clinical stage T and stage N were independent risk factors for bone metastasis of primary TNBC. The concrete results of logistic regression analysis for bone metastasis can be seen in Table 3.
Table 3

Risk factors associated with bone metastasis of TNBC patients (n=26046)

VariablesUnivariate logistic modelMultivariate logistic model
OR (95% CI)P-valueOR (95% CI)P-value
Age (years)
<35ReferenceReference
35–500.7 (0.4–1.3)0.2151.0 (0.5–1.9)0.945
50–651.1 (0.6–2.0)0.7171.8 (0.9–3.2)0.070
>651.1 (0.6–2.0)0.7241.6 (0.9–3.0)0.137
Race
WhiteReferenceReference
Black1.5 (1.2–2.0)0.0031.2 (0.9–1.6)0.204
Others0.8 (0.5–1.3)0.3480.6 (0.4–1.1)0.117
Marital status
Not marriedReferenceReference
Married0.6 (0.5–0.8)<0.0010.9 (0.7–1.3)0.728
Histologic type
8500ReferenceReference
85230.4 (0.1–1.3)0.1380.5 (0.2–1.7)0.267
85750.8 (0.3–2.0)0.6320.9 (0.4–2.4)0.915
Other1.9 (1.3–2.6)<0.0011.1 (0.8–1.6)0.655
Grade
IReferenceNI
II1.6 (0.6–4.5)0.360
III1.3 (0.5–3.5)0.627
IV2.6 (0.7–10.6)0.177
Stage T
IReferenceReference
II2.8 (1.8–4.2)<0.0012. 9 (1.1–7.4)0.027
III9.1 (5.8–14.2)<0.0014.4 (1.8–10.5)0.001
IV27.6 (18.2–41.9)<0.0016.9 (3.1–15.5)<0.001
Stage N
0ReferenceReference
16.1 (4.4–8.4)<0.0013.1 (2.2–4.3)<0.001
27.3 (4.8–11.2)<0.0013.8 (2.4–6.0)<0.001
314.7 (10.0–21.7)<0.0015.7 (3.7–8.7)<0.001
Tumor size (cm)
<1.0ReferenceReference
1.0–2.01.9 (0.9–4.1)0.1131. 7 (0.7–3.7)0.211
2.0–5.04.1 (2.0–8.3)<0.0010.9 (0.3–2.7)0.858
>5.017.2 (8.4–35.2)<0.0011.2 (0.5–3.2)0.656
Surgery
NoReferenceReference
Yes0.05 (0.04–0.06)<0.0010.1 (0.08–0.14)<0.001
Chemotherapy
NoReferenceNI
Yes1.2 (0.9–1.6)0.285
Radiotherapy
NoReferenceReference
Yes0.4 (0.3–0.5)<0.0010.8 (0.5–1.1)0.096

Abbreviation: NI, not included.

8500, Intraductal carcinoma; 8523, Infiltrating duct mixed with other type of carcinoma; 8575, Metaplastic carcinoma.

Abbreviation: NI, not included. 8500, Intraductal carcinoma; 8523, Infiltrating duct mixed with other type of carcinoma; 8575, Metaplastic carcinoma.

The distant metastasis pattern of primary TNBC

In the present study, a total of 1330 cases with distant metastasis were further analyzed. Bone, brain, liver, and lung covered the majority of breast cancer metastasis, so we focused on these four sites. Fifteen possible metastatic forms had been analyzed, including four single metastases and eleven combinative metastasis. Among those TNBC patients, lung-only metastasis was the most frequent (19.6%), bone-only metastasis was the second most frequent (19.4%), while brain-only metastasis occupied least of all (2.9%). As for two metastatic sites, bone+liver accounted for most of those patients (7.4%). As for three metastatic sites, bone+liver+lung occupied most (4.2%). There were 19 cases for four sites metastasis (1.4%). The metastatic pattern of TNBC patients was presented in Table 4.
Table 4

The distribution of different distant metastasis (n=1330)

Metastatic sitesPatients, numberPercentage (%)
One site
Bone only25819.4
Brain only382.9
Liver only1229.2
Lung only26119.6
Two sites
bone+brain161.2
bone+liver987.4
bone+lung775.8
brain+liver30.2
brain+lung312.3
liver +lung675.0
Three sites
bone+brain+liver100.8
bone+brain+lung151.1
bone+liver+lung564.2
liver+lung+brain40.3
Four sites
bone+liver+lung+brain191.4

Survival analysis

To better understand the relationship between distant metastasis and follow-up time, we further analyzed the influence of each distant metastasis on patients’ survival. Of the 26863 patients finally recruited, 4433 patients were dead at the end of the last follow-up. Moreover, 3526 patients died from breast cancer specifically. The Kaplan–Meier plots displayed that TNBC patients with brain metastasis had the worst survival in both BCSS and OS, though the survival difference was not statistically significant (P>0.05, respectively). As a result, each distant metastasis may exert poor survival for the TNBC patients. The survival curves of BCSS and OS are exhibited in Figure 1.
Figure 1

Kaplan–Meier estimates of BCSS and OS in each distant metastasis

(A) BCSS for only one site metastasis: χ2 = 7.346, P=0.062. (B) OS for only one site metastasis: χ2 = 6.337, P=0.096.

Kaplan–Meier estimates of BCSS and OS in each distant metastasis

(A) BCSS for only one site metastasis: χ2 = 7.346, P=0.062. (B) OS for only one site metastasis: χ2 = 6.337, P=0.096. In order to distinguish bone metastasis alone from bone combined with other organ metastasis, we further analyzed the survival difference between bone-only metastasis and bone with other sites metastasis. The Kaplan–Meier plots indicated that bone combined with other metastasis exerted significantly worse survival for the TNBC patients. The survival curves of BCSS for these patients are available in Figure 2.
Figure 2

Survival curves of bone metastasis

Kaplan–Meier estimates of BCSS for TNBC patients with bone-only metastasis and bone with other organ metastasis: χ2 = 42.98, P<0.001.

Survival curves of bone metastasis

Kaplan–Meier estimates of BCSS for TNBC patients with bone-only metastasis and bone with other organ metastasis: χ2 = 42.98, P<0.001. Specifically, the median BCSS of the entire cohort was 13 months, the median OS was also 13 months. TNBC patients with either lung or liver metastasis experienced the longest median BCSS (15 months), while those with bone-only metastasis had relatively shorter survival (14 months), but the survival difference was not significant (Figure 1). Bone combined with other organ metastasis engendered worse survival than bone metastasis alone (median BCSS: 8 vs 14 months). By contrast, the patients with brain-only metastasis had the shortest median survival (5 months). Consequently, TNBC patients with either bone or visceral metastasis had poor survival. The patients with brain metastasis have the worst survival. The number and median survival of those patients with different metastasis are listed in Table 5.
Table 5

The median survival of TNBC patients with different metastasis (n=1330)

Metastatic sitePatients, numberMedian BCSSMedian OS
95% CI, months95% CI, months
Overall133013 (12.2–13.8)13 (12.2–13.8)
Bone only25814 (12.4–15.6)13 (11.5–14.5)
Brain only385 (2.6–7.4)5 (2.6–7.4)
Liver only12215 (12.8–17.2)14 (12.2–15.8)
Lung only26115 (12.2–17.8)15 (12.5–17.5)
Bone+other2918 (6.3–9.7)8 (6.3–9.7)

Discussion

Multiple factors, such as age at diagnosis, tumor site, laterality, stage, lymph node involvement, ER/PR and HER2 status etc., have been linked to an elevated risk of developing distant metastasis in breast cancer [6]. Nevertheless, few studies have specifically focused on the risk factors for distant metastasis of patients with primary TNBC. In the present study, we extracted a large patient cohort from the SEER database to analyze several potential risk factors for distant metastasis of TNBC, including patients’ demographics, tumor features and treatment. According to the descriptive statistical analysis, univariate and multivariate logistic regression analyses, we have found that age > 50, clinical stage T III-IV, higher stage N, tumor size > 5 cm were independent risk factors for distant metastasis of primary TNBC. Moreover, we also investigated different distant metastasis pattern and survival of the patients. The overall results indicated that lung metastasis is the most frequent while brain metastasis is the least frequent in TNBC. The patients with brain metastasis had the worst survival, though the OS difference among the four metastatic sites was not significant. Generally, TNBC patients with each distant metastasis had poor survival. Age is a very important prognostic factor of breast cancer. Several previous reports showed that younger age was associated with distant metastasis and poor prognosis. A recent study indicated that patients ≤35 had 2.51-times greater risk of recurrence-free survival, and 2.60-times greater risk of distant recurrence compared with the patients >50 years old. However, this study did not specifically focus TNBC, and the sample size of TNBC was only 143 [7]. Another study recruited 1930 patients with TNBC, 15% were <40 and 85% were ≥40 years of age at diagnosis. At a median follow-up of 74 months, there was no significant difference in local recurrence (LR) or disease-free survival (DFS) between patients <40 and ≥40 years old. The conclusion was ‘Young age at diagnosis is not an independent risk factor for LR or DR in patients with TNBC’ [8]. Furthermore, another report has compared the clinical pathological characteristics of <65 and ≥65 years old TNBC patients. The results showed that distant visceral metastases occurred significantly more often than bone metastases in both age groups. LR, bone and secondary lymph node metastases were significantly more frequent in younger patients [9]. Comparatively, our results indicated that TNBC patients with age > 50 were independent risk factors for distant metastasis. The possible reasons for these disparities may be as follows. Our study specifically concentrated on TNBC rather than other breast cancer subtypes. We also enrolled a much larger population of TNBC patients, so the power of analysis in our study seemed more convincing. The present study identified clinical stages T and N were independent risk factors for distant metastasis of primary TNBC. Several previous reports have indicated a relation of increasing lymph node involvement with poorer prognosis of TNBC patients. A recent study revealed that 5-year progression-free survival (PFS) was significantly worse in patients with FNAB(+) IMN metastasis. The FNAB(+) IMN patients showed worse distant metastasis and regional recurrence-free survival [10]. Furthermore, another study has evaluated the prognostic value of the lymph node ratio (LNR) in patients with axillary lymph node-positive TNBC. It revealed that the LNR was an independent predictor of OS in high-risk patients. Considering the heterogeneity of TNBC, the LNR exhibits potential as an additional prognostic factor for TNBC patients with positive lymph node involvement [11]. In our study, we have also found that higher clinical N-stage is associated with increased ORs of distant metastasis. Hence routine evaluation of the internal mammary and axillary lymph node should be considered for early detection of TNBC metastasis. Some scholars have reported that tumor sizes < 1 cm are independent risk factors for TNBC. The tumors ≤ 1 cm are difficult to treat as recurrence rates are tough to estimate. A recent report has evaluated outcomes of patients who had tumors ≤ 1 cm, node negative and investigated their recurrence by both underlying triple receptor subtypes and by age. The results presented that women with small tumors often had aggressive underlying biology and unfavorable prognosis [7]. On the other hand, prior research on TNBC also reported that larger tumors were associated with worse survival [12]. Lymph nodal metastasis was more frequent in TNBC with large tumor size, which was also associated with late stage at presentation [13]. Our study determined that tumor size > 5 cm was an independent risk factor for distant metastasis of primary TNBC. The elevated likelihood of distant metastasis from large tumor size can be possibly interpreted by the contribution of increased time to presentation since larger tumors require more time to grow [14]. In addition, it is difficult to perform surgical resection and procure adequate margins for larger tumors. The risk of distant metastasis increases as residual cancer cells continue to divide untreated over time [15]. Thus great concern should be taken on large tumor size, in order to identify high-risk groups of TNBC patients with distant metastasis. As far as the distant metastasis pattern of TNBC is concerned, previous study reported a higher incidence of visceral metastasis while less frequent in bone metastasis [16]. Consistently, our study revealed that lung-only metastasis (19.6%) was the most frequent while bone-only metastasis was relatively lower (19.4%) among single organ metastasis. The specific metastatic organ involved can predict prognosis of the patients [17]. Some studies revealed that breast cancer with bone metastasis alone was associated with better prognosis, whereas those with bone and visceral pattern had the worse prognosis [18]. Concordantly, our study also indicated that TNBC patients with bone-only metastasis had better survival than bone combined with other metastasis. Furthermore, the prognosis of bone-only metastasis is not significantly different from lung- or liver-only metastasis. The higher percentage of patients with bone-only metastases could be partially explained by the growing number of TNBC patients with higher clinical stage. We also found that higher clinical stage T and stage N were independent risk factors for bone metastasis of primary TNBC. As a matter of fact, knowledge of the risk factors for distant metastasis of TNBC may become useful for evaluating the prognosis of the patients. Several limitations should be considered in our study. First, this is a retrospective study from SEER database rather than a prospective cohort study, so the inherent selection biases may undermine the external validity of the present study. Second, the information about TNBC recurrence and subsequent sites of metastasis are not available in the SEER database, so we could not evaluate patients who developed distant metastasis later in their disease course. Third, we did not analyze other potential risk factors such as smoking status and comorbidities. The reason was that the SEER database did not provide any data on these variables.

Conclusion

In summary, age > 50, higher stage T and N, and larger tumor size were independently associated with higher risks of distant metastasis in primary TNBC. The risk factors characterized in the present study may help clinicians in counseling patients about the likelihood of distant metastasis at initial diagnosis. Improving our understanding of the risk factors for distant metastasis of TNBC may also contribute to the current individualized treatment for these patients.
  17 in total

1.  Tumor characteristics and recurrence patterns in triple negative breast cancer: a comparison between younger (<65) and elderly (≥65) patients.

Authors:  Robert Königsberg; Georg Pfeiler; Tatjana Klement; Nicole Hammerschmid; Andreas Brunner; Robert Zeillinger; Christian Singer; Christian Dittrich
Journal:  Eur J Cancer       Date:  2012-05-28       Impact factor: 9.162

2.  Prognostic impact of metastatic pattern in stage IV breast cancer at initial diagnosis.

Authors:  Bernardo Amadeo Leone; Carlos Teodoro Vallejo; Alberto Omar Romero; Mario Raúl Machiavelli; Juan Eduardo Pérez; Julieta Leone; José Pablo Leone
Journal:  Breast Cancer Res Treat       Date:  2016-12-14       Impact factor: 4.872

3.  Triple-negative breast cancer has worse overall survival and cause-specific survival than non-triple-negative breast cancer.

Authors:  Xiaoxian Li; Jing Yang; Limin Peng; Aysegul A Sahin; Lei Huo; Kevin C Ward; Ruth O'Regan; Mylin A Torres; Jane L Meisel
Journal:  Breast Cancer Res Treat       Date:  2016-11-25       Impact factor: 4.872

4.  Age and survival estimates in patients who have node-negative T1ab breast cancer by breast cancer subtype.

Authors:  Rachel L Theriault; Jennifer K Litton; Elizabeth A Mittendorf; Huiqin Chen; Funda Meric-Bernstam; Mariana Chavez-Macgregor; Phuong K Morrow; Wendy A Woodward; Aysegul Sahin; Gabriel N Hortobagyi; Ana M Gonzalez-Angulo
Journal:  Clin Breast Cancer       Date:  2011-07-20       Impact factor: 3.225

5.  Breast carcinoma subtypes show different patterns of metastatic behavior.

Authors:  István Artúr Molnár; Béla Ákos Molnár; Laura Vízkeleti; Krisztina Fekete; Judit Tamás; Péter Deák; Csilla Szundi; Borbála Székely; Judit Moldvay; Stefan Vári-Kakas; Marcell A Szász; Balázs Ács; Janina Kulka; Anna-Mária Tőkés
Journal:  Virchows Arch       Date:  2017-01-19       Impact factor: 4.064

6.  Risk factors for metastatic disease at presentation with osteosarcoma: an analysis of the SEER database.

Authors:  Benjamin J Miller; Peter Cram; Charles F Lynch; Joseph A Buckwalter
Journal:  J Bone Joint Surg Am       Date:  2013-07-03       Impact factor: 5.284

7.  Evaluation of Local and Distant Recurrence Patterns in Patients with Triple-Negative Breast Cancer According to Age.

Authors:  Julia C Radosa; Anne Eaton; Michelle Stempel; Amrin Khander; Cornelia Liedtke; Erich-Franz Solomayer; Maria Karsten; Melissa Pilewskie; Monica Morrow; Tari A King
Journal:  Ann Surg Oncol       Date:  2016-10-25       Impact factor: 5.344

8.  Outcomes of Triple-Negative Breast Cancers (TNBC) Compared with Non-TNBC: Does the Survival Vary for All Stages?

Authors:  Gaurav Agarwal; Gitika Nanda; Punita Lal; Anjali Mishra; Amit Agarwal; Vinita Agrawal; Narendra Krishnani
Journal:  World J Surg       Date:  2016-06       Impact factor: 3.352

9.  Pattern of Local Recurrence and Distant Metastasis in Breast Cancer By Molecular Subtype.

Authors:  Xingrao Wu; Ayesha Baig; Goulnar Kasymjanova; Kamran Kafi; Christina Holcroft; Hind Mekouar; Annie Carbonneau; Boris Bahoric; Khalil Sultanem; Thierry Muanza
Journal:  Cureus       Date:  2016-12-09

10.  The lymph node ratio as an independent prognostic factor for node-positive triple-negative breast cancer.

Authors:  Min He; Jia-Xin Zhang; Yi-Zhou Jiang; Ying-Le Chen; Hai-Yuan Yang; Li-Chen Tang; Zhi-Ming Shao; Gen-Hong Di
Journal:  Oncotarget       Date:  2017-07-04
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  22 in total

1.  Influence of progesterone receptor on metastasis and prognosis in breast cancer patients with negative HER-2.

Authors:  Yunxiao Xiao; Jiexiao Li; Zhenghao Wu; Ximeng Zhang; Jie Ming
Journal:  Gland Surg       Date:  2022-01

Review 2.  Mitochondrial Dynamin-Related Protein Drp1: a New Player in Cardio-oncology.

Authors:  Yali Deng; Doan T M Ngo; Jessica K Holien; Jarmon G Lees; Shiang Y Lim
Journal:  Curr Oncol Rep       Date:  2022-10-01       Impact factor: 5.945

Review 3.  Signaling Pathways and Natural Compounds in Triple-Negative Breast Cancer Cell Line.

Authors:  Citra Dewi; Adryan Fristiohady; Riezki Amalia; Nur Kusaira Khairul Ikram; Sugeng Ibrahim; Muchtaridi Muchtaridi
Journal:  Molecules       Date:  2022-06-07       Impact factor: 4.927

Review 4.  Circular RNAs as novel biomarkers in triple-negative breast cancer: a systematic review.

Authors:  Zahra Foruzandeh; Davood Ghavi Dorabadi; Farzaneh Sadeghi; Fatemeh Zeinali-Sehrig; Mohammad Zaefizadeh; Yazdan Rahmati; Mohammad Reza Alivand
Journal:  Mol Biol Rep       Date:  2022-05-10       Impact factor: 2.742

5.  Mdivi-1 induces spindle abnormalities and augments taxol cytotoxicity in MDA-MB-231 cells.

Authors:  Chieh-Ting Fang; Hsiao-Hui Kuo; Chia-Jung Yuan; Jhong-Syuan Yao; Ling-Huei Yih
Journal:  Cell Death Discov       Date:  2021-05-20

6.  Risk factors of distant metastasis after surgery among different breast cancer subtypes: a hospital-based study in Indonesia.

Authors:  Sumadi Lukman Anwar; Widya Surya Avanti; Andreas Cahyo Nugroho; Lina Choridah; Ery Kus Dwianingsih; Wirsma Arif Harahap; Teguh Aryandono; Wahyu Wulaningsih
Journal:  World J Surg Oncol       Date:  2020-05-30       Impact factor: 2.754

7.  RNA-sequencing and microarray data mining revealing: the aberrantly expressed mRNAs were related with a poor outcome in the triple negative breast cancer patients.

Authors:  Hongjun Fei; Songchang Chen; Chenming Xu
Journal:  Ann Transl Med       Date:  2020-03

8.  Novel Medicinal Mushroom Blend as a Promising Supplement in Integrative Oncology: A Multi-Tiered Study using 4T1 Triple-Negative Mouse Breast Cancer Model.

Authors:  Elisa Roda; Fabrizio De Luca; Carmine Di Iorio; Daniela Ratto; Stella Siciliani; Beatrice Ferrari; Filippo Cobelli; Giuseppina Borsci; Erica Cecilia Priori; Silvia Chinosi; Andrea Ronchi; Renato Franco; Raffaele Di Francia; Massimiliano Berretta; Carlo Alessandro Locatelli; Andrej Gregori; Elena Savino; Maria Grazia Bottone; Paola Rossi
Journal:  Int J Mol Sci       Date:  2020-05-14       Impact factor: 5.923

Review 9.  Immune Crosstalk Between Lymph Nodes and Breast Carcinomas, With a Focus on B Cells.

Authors:  Elena Alberts; Isobelle Wall; Dinis Pedro Calado; Anita Grigoriadis
Journal:  Front Mol Biosci       Date:  2021-05-28

10.  Thymoquinone anticancer activity is enhanced when combined with royal jelly in human breast cancer.

Authors:  Maya M Moubarak; Nour Chanouha; Najwa Abou Ibrahim; Hala Khalife; Hala Gali-Muhtasib
Journal:  World J Clin Oncol       Date:  2021-05-24
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