Literature DB >> 34906122

Clinicopathological characteristics and survival outcomes in patients with synchronous lung metastases upon initial metastatic breast cancer diagnosis in Han population.

Shaoyan Lin1, Hongnan Mo1, Yiqun Li1, Xiuwen Guan1, Yimeng Chen1, Zijing Wang1, Binghe Xu2.   

Abstract

BACKGROUND: We investigated the clinicopathological characteristics and survival of breast cancer lung metastases (BCLM) patients at initial diagnosis of metastatic breast cancer (MBC) in the Han population.
METHODS: We attained clinical data of 3155 MBC patients initially diagnosed between April 2000 and September 2019 from the China National Cancer Center and finally included 2263 MBC patients in this study, among which 809 patients presented with lung metastases at first MBC diagnosis. The risk factors for BCLM were determined using multivariate logistic regression analysis and the prognostic factors of BCLM patients were assessed by univariate and multivariate Cox regression analyses.
RESULTS: Patients with triple-negative subtype (42.3%) harbored the highest incidence proportions of lung metastases. Age ≥ 50 years, Eastern Cooperative Oncology Group (ECOG) 2, M1, hormone receptor-negative (HR-)/human epidermal growth factor receptor 2-positive (HER2) + subtype, triple-negative subtype and disease-free survival (DFS) > 2 years were remarkably associated with higher incidence of lung metastases, while invasive lobular carcinoma (ILC) and bone metastases were significantly correlated with lower odds of lung metastases at diagnosis. The median survival of BCLM patients was 41.7 months, with triple-negative subtype experiencing the worst prognosis of 26.8 months. ECOG 2, triple-negative subtype, liver metastases, multi-metastatic sites and DFS ≤ 2 years were significantly correlated with poor survival of BCLM patients.
CONCLUSIONS: Our study provides essential information on clinicopathological features and survival outcomes of BCLM patients at initial diagnosis of MBC in China.
© 2021. The Author(s).

Entities:  

Keywords:  Breast neoplasms; Lung; Neoplasm metastasis; Prognosis; Survival

Mesh:

Year:  2021        PMID: 34906122      PMCID: PMC8670055          DOI: 10.1186/s12885-021-09038-2

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Background

Lung metastasis is the second most frequent distant metastases of breast cancer [1, 2], clinically presenting in 15–25% of metastatic breast cancer (MBC) patients [3, 4]. Autopsy data of 197 women dying with MBC over a period of 50 years revealed that 80.7% of patients had lung or pleura metastases [5]. A population-based study indicated that the median survival of 3372 patients with lung metastases at primary breast cancer diagnosis was 21 months [6]. Although the prognosis of MBC patients with metastases confined to lungs is not so poor as brains or livers [7], most patients are considered incurable and the treatment is still intractable. With an occult onset, lung metastases from breast cancer usually present asymptomatically and progress aggressively without appropriate care [8]. Systemic treatments including chemotherapy, targeted therapy and hormone therapy are recommended for patients with breast cancer lung metastases (BCLM) [9] and pulmonary metastasectomy is considerable for properly selected cases [10]. The early detection of lung metastasis and the precise estimation of outcome may benefit breast cancer patients in clinical practice, thus achieving long-term survival. However, the clinicopathological characteristics and the risk factors that affect the incidence and prognosis of BCLM remain poorly identified in the Han population. In this article, we summarized the clinicopathological features and explored the risk factors associated with the morbidity and mortality of BCLM in newly diagnosed MBC patients in China, which may help identify cases with higher odds of lung metastases and worse survival. Early intervention and multidisciplinary treatment for BCLM patients are of utmost importance.

Methods

This work was approved by the institutional review board of National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College. All methods were carried out in accordance with relevant guidelines and regulations. The study methods referred to the previous report [11].

Study population

We attained clinical data of 3155 MBC patients initially diagnosed between April 2000 and September 2019 from the China National Cancer Center database. The database was generated and maintained by medical staff, drawn from the medical records in the hospital information system of China National Cancer Center. Several studies based on this database have been published [11-13]. We removed patients with unknown tumor receptor status (n = 579), unknown distant metastases (n = 65) and follow-up no more than 1 month since the initial diagnosis of MBC (n = 254) from this cohort, finally leaving 2263 patients for incidence analysis. Among these, 809 cases presented with lung metastases (including lymphangitic carcinomatosis and pleural disease) upon initial MBC diagnosis. Lung metastases were identified by enhanced chest CT scan and 220/809 (27.2%) patients were biopsy proven. Based on the guidelines in our center, lung biopsy was not essential unless the imaging was uncertain. With the improvement of the guidelines, lung biopsy was also considerable for the sake of therapy guidance or patient wishes. Telephone calls or clinical visits were used to follow up patients further to June 30, 2019 or date of their deaths.

Study variables

Study variables, including age at initial MBC diagnosis, Eastern Cooperative Oncology Group (ECOG) grade, pathological type, TNM stage of primary breast cancer, tumor receptor status, number and type of metastatic sites, disease-free survival (DFS) between primary breast cancer diagnosis and metastatic recurrence, first-line therapy and overall survival (OS) from the onset of metastasis to death were retrospectively collected. DFS was divided as ≤2 years, > 2 years and patients with de-novo diseases were classified as M1 group. Cancers with 1–100% estrogen receptor or progesterone receptor routine immunohistochemistry (IHC) staining were considered hormone receptor-positive (HR+). Human epidermal growth factor receptor 2 (HER2) overexpression was defined as IHC3+ or in the case of IHC2+, fluorescent in-situ hybridization (FISH) positive. The HER2 status was determined according to the American Society of Clinical Oncology (ASCO)/College of American Pathologists (CAP) guidelines. Since the ASCO/CAP guidelines have updated across years, the HER2 status was evaluated based on different versions in certain years (2000–2019). The receptor status of metastatic tumors was re-assessed in 512/2263 (22.7%) cases. Breast cancer subtypes were divided as HR+/HER2-, HR−/HER2+, HR+/HER2+ and triple-negative (HR−/HER2-), based on primary tumor. Tumor staging of the primary tumor was based on the 8th American Joint Committee on Cancer (AJCC) TNM staging system.

Statistical analysis

Chi-square or Fisher’s exact test were used for category variables to compare the clinicopathological features among different subtypes in patients with lung metastases. Incidence of lung metastases was defined as the number of BCLM patients divided by the total number of MBC patients. We performed multivariate logistic regression to explore factors associated with the presence of lung metastases upon initial diagnosis of MBC. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) in the model. Kaplan-Meier method was utilized to estimate the survival within subsets and log-rank test was used to analyze the differences. We conducted univariate and multivariate Cox regression analyses to investigate the independent predictive factors significantly associated with the prognosis of BCLM patients. All the statistics were analyzed using SPSS statistical software version 23.0 package. A two-sided p value of 0.05 or less was significantly different.

Results

Patient characteristics

A total of 2263 MBC patients were enrolled in final cohort, of which 35.7% (809) synchronously presented with lung metastases upon initial MBC diagnosis and Table 1 listed their clinicathological characteristics stratified by breast cancer subtype. It showed that 15.1% (122) of BCLM patients were diagnosed with de novo metastatic disease (M1). Only 43.9% (108/246) of BCLM patients with HER2-positive received anti-HER2 therapy during first line. BCLM patients with HR+/HER2-, HR−/HER2+, HR+/HER2+ and triple-negative subtypes accounted for 47.7, 14.3, 16.1 and 21.9%, respectively. Compare with other subsets, triple-negative patients with lung metastases were younger (p = 0.015), had an earlier N-stage of primary breast cancer (p = 0.005) and a shorter DFS (p < 0.001), presented with more recurrent diseases (p = 0.002) and less liver metastases (p = 0.001). HER2+ (HR−/HER2+ and HR+/HER2+) patients with BCLM were more frequently diagnosed with de novo stage IV breast cancer than HER2- (HR+/HER2- and triple-negative) patients (p = 0.002). BCLM patients with HR+/HER2- subtype had the highest rate of bone metastases (p < 0.001).
Table 1

Clinicopathological characteristics of patients with lung metastases upon initial metastatic breast cancer diagnosis according to breast cancer subtype

CharacteristicHR+/HER2-, N (%)HR−/HER2+, N (%)HR+/HER2+, N (%)Triple-negative, N (%)p value
All patients386 (47.7)116 (14.3)130 (16.1)177 (21.9)
Age0.015
  < 50172 (44.6)44 (37.9)62 (47.7)99 (55.9)
  ≥ 50214 (55.4)72 (62.1)68 (52.3)78 (44.1)
ECOG0.194
 091 (23.6)24 (20.7)23 (17.7)46 (26.0)
 1278 (72.0)88 (75.9)102 (78.5)117 (66.1)
 217 (4.4)4 (3.4)5 (3.8)14 (7.9)
Pathological type0.552
 IDC355 (92.0)111 (95.7)125 (96.2)168 (94.9)
 ILC9 (2.3)1 (0.9)2 (1.5)3 (1.7)
 Others22 (5.7)4 (3.4)3 (2.3)6 (3.4)
T-stage0.065
 T1104 (26.9)24 (20.7)32 (24.6)47 (26.6)
 T2169 (43.8)50 (43.1)52 (40.0)83 (46.9)
 T320 (5.2)6 (5.2)5 (3.8)17 (9.6)
 T418 (4.7)12 (10.3)9 (6.9)6 (3.4)
 Unknown75 (19.4)24 (20.7)32 (24.6)24 (13.6)
N-stage0.005
 N0113 (29.3)25 (21.6)30 (23.1)65 (36.7)
 N196 (24.9)23 (19.8)43 (33.1)45 (25.4)
 N266 (17.1)22 (19.0)23 (17.7)31 (17.5)
 N367 (17.4)35 (30.2)20 (15.4)19 (10.7)
 Unknown44 (11.4)11 (9.5)14 (10.8)17 (9.6)
M-stage0.002
 M0339 (87.8)88 (75.9)103 (79.2)157 (88.7)
 M147 (12.2)28 (24.1)27 (20.8)20 (11.3)
Liver metastases0.001
 No308 (79.8)85 (73.3)88 (67.7)152 (85.9)
 Yes78 (20.2)31 (26.7)42 (32.3)25 (14.1)
Brain metastases0.625
 No370 (95.9)108 (93.1)124 (95.4)170 (96.0)
 Yes16 (4.1)8 (6.9)6 (4.6)7 (4.0)
Bone metastases< 0.001
 No226 (58.5)91 (78.4)89 (68.5)134 (75.7)
 Yes160 (41.5)25 (21.6)41 (31.5)43 (24.3)
Number of metastatic sites0.001
 1104 (26.9)28 (24.1)42 (32.3)53 (29.9)
 2108 (28.0)48 (41.4)37 (28.5)74 (41.8)
  ≥ 3174 (45.1)40 (34.5)51 (39.2)50 (28.2)
Anti-HER2 therapy during first line0.429
 Yes54 (46.6)54 (41.5)
 No62 (53.4)76 (58.5)
DFS< 0.001
  ≤ 2 years83 (21.5)47 (40.5)36 (27.7)94 (53.1)
  > 2 years256 (66.3)41 (35.3)67 (51.5)63 (35.6)
 M147 (12.2)28 (24.2)27 (20.8)20 (11.3)

HR hormone receptor, HER2 human epidermal growth factor receptor 2, ECOG Eastern Cooperative Oncology Group, IDC invasive ductal carcinoma, ILC invasive lobular carcinoma, DFS disease-free survival

Clinicopathological characteristics of patients with lung metastases upon initial metastatic breast cancer diagnosis according to breast cancer subtype HR hormone receptor, HER2 human epidermal growth factor receptor 2, ECOG Eastern Cooperative Oncology Group, IDC invasive ductal carcinoma, ILC invasive lobular carcinoma, DFS disease-free survival Table 2 displayed the incidence of patients with lung metastases stratified by breast cancer subtype. HR+/HER2-, HR−/HER2+, HR+/HER2+ and triple-negative subtypes accounted for 52.1, 13.3, 16.1 and 18.5% of the entire MBC population, respectively. Patients with triple-negative subtype (42.3%) harbored the highest incidence proportions of lung metastases.
Table 2

Incidence of patients with lung metastases at first metastatic breast cancer diagnosis stratified by breast cancer subtype

All metastatic patients, N (%)With lung metastasesIncidence of lung metastases, %
HR+/HER2-1180 (52.1)38632.7
HR−/HER2+300 (13.3)11638.6
HR+/HER2+365 (16.1)13035.6
Triple-negative418 (18.5)17742.3
All subtypes2263 (100.0)80935.7

HR hormone receptor, HER2 human epidermal growth factor receptor 2

Incidence of patients with lung metastases at first metastatic breast cancer diagnosis stratified by breast cancer subtype HR hormone receptor, HER2 human epidermal growth factor receptor 2 Association between the presence of lung metastases at initial MBC diagnosis and variables assessed by multivariate logistic regression was showed in Table 3. Age ≥ 50 years (vs. < 50 years, OR = 1.29, 95% CI = 1.08–1.54, p = 0.005), ECOG 2 (vs. ECOG 0, OR = 1.67, 95% CI = 1.04–2.67, p = 0.033), M1 (vs. M0, OR = 1.42, 95% CI =1.05–1.92, p = 0.022), HR−/HER2+ subtype (vs. HR+/HER2-, OR = 1.40, 95% CI = 1.06–1.85, p = 0.020), triple-negative subtype (vs. HR+/HER2-, OR = 1.63, 95% CI = 1.28–2.09, p < 0.001) and DFS > 2 years (vs. DFS ≤ 2 years, OR = 1.74, 95% CI = 1.42–2.14, p < 0.001) were remarkably associated with higher incidence of lung metastases at diagnosis. Invasive lobular carcinoma (ILC) (vs. invasive ductal carcinoma (IDC), OR = 0.39, 95% CI = 0.22–0.70, p = 0.002) and bone metastases (vs. without bone metastases, OR = 0.74, 95% CI = 0.61–0.90, p = 0.002) were significantly correlated with lower odds of lung metastases at diagnosis.
Table 3

Multivariate logistic regression for the presence of lung metastases at initial diagnosis of metastatic breast cancer

CharacteristicOR (95% CI)p value
Age
  < 50Reference
  ≥ 501.29 (1.08, 1.54)0.005
ECOG
 0Reference
 11.16 (0.94, 1.43)0.162
 21.67 (1.04, 2.67)0.033
Pathological type
 IDCReference
 ILC0.39 (0.22, 0.70)0.002
 Others1.36 (0.81, 2.28)0.241
T-stage
 T1Reference
 T21.07 (0.86, 1.35)0.536
 T30.77 (0.52, 1.14)0.190
 T41.33 (0.84, 2.11)0.223
 Unknown0.84 (0.63, 1.12)0.228
N-stage
 N0Reference
 N11.03 (0.81, 1.32)0.787
 N20.99 (0.75, 1.30)0.927
 N30.85 (0.64, 1.13)0.262
 Unknown1.08 (0.75, 1.56)0.672
M-stage
 M0Reference
 M11.42 (1.05, 1.92)0.022
Subtype
 HR+/HER2-Reference
 HR−/HER2+1.40 (1.06, 1.85)0.020
 HR+/HER2+1.19 (0.92, 1.53)0.188
 Triple-negative1.63 (1.28, 2.09)< 0.001
Liver metastases
 NoReference
 Yes0.82 (0.66, 1.01)0.067
Brain metastases
 NoReference
 Yes1.12 (0.72, 1.74)0.608
Bone metastases
 NoReference
 Yes0.74 (0.61, 0.90)0.002
DFS
  ≤ 2 yearsReference
  > 2 years1.74 (1.42, 2.14)< 0.001
 M11.42 (1.05, 1.92)0.022

OR odds ratio, CI confidence interval, ECOG Eastern Cooperative Oncology Group, IDC invasive ductal carcinoma, ILC invasive lobular carcinoma, HR hormone receptor, HER2 human epidermal growth factor receptor 2, DFS disease-free survival

Multivariate logistic regression for the presence of lung metastases at initial diagnosis of metastatic breast cancer OR odds ratio, CI confidence interval, ECOG Eastern Cooperative Oncology Group, IDC invasive ductal carcinoma, ILC invasive lobular carcinoma, HR hormone receptor, HER2 human epidermal growth factor receptor 2, DFS disease-free survival

Survival

The median survival among the whole MBC cohort was 45.4 months, with a median follow-up of 61.6 months. Figure 1 showed that the prognosis of patients with lung metastases upon MBC diagnosis (median OS, 41.7 months) was significantly worse than those without lung metastases (median OS, 47.9 months, p = 0.001). Figure 2 provided the survival of BCLM patients according to breast cancer subtype. The survival of BCLM patients with HR+/HER2- subtype (49.0 months) was the longest, while triple-negative (26.8 months, p < 0.001) the shortest. BCLM patients with HR−/HER2+ (vs. HR+/HER2-, p = 0.009) and HR+/HER2+ (vs. HR+/HER2-, p = 0.746) subtypes experienced the median OS of 31.6 and 44.1 months, respectively.
Fig. 1

Overall survival of metastatic breast cancer patients with or without BCLM. BCLM, breast cancer lung metastases

Fig. 2

Overall survival of BCLM patients according to breast cancer subtype. BCLM, breast cancer lung metastases, HR, hormone receptor, HER2, human epidermal growth factor receptor 2, TNBC, triple-negative

Overall survival of metastatic breast cancer patients with or without BCLM. BCLM, breast cancer lung metastases Overall survival of BCLM patients according to breast cancer subtype. BCLM, breast cancer lung metastases, HR, hormone receptor, HER2, human epidermal growth factor receptor 2, TNBC, triple-negative The prognostic factors of BCLM patients assessed by univariate and multivariate Cox regression analyses were presented in Table 4. The significant variables with p value < 0.05 in univariate analysis were further included in multivariate Cox regression model. ECOG 2 (vs. ECOG 0, HR = 1.75, 95% CI = 1.12–2.73, p = 0.015), triple-negative subtype (vs. HR+/HER2-, HR = 1.76, 95% CI = 1.36–2.29, p < 0.001), liver metastases (vs. without liver metastases, HR = 2.19, 95% CI = 1.70–2.82, p < 0.001), 2 metastatic sites (vs. 1 metastatic site, HR = 1.76, 95% CI = 1.34–2.31, p < 0.001), and ≥ 3 metastatic sites (vs. 1 metastatic site, HR = 1.74, 95% CI = 1.24–2.44, p = 0.001) were significantly correlated with poor survival of BCLM patients. DFS > 2 years (vs. DFS ≤ 2 years, HR = 0.66, 95% CI = 0.53–0.83, p < 0.001) predicted favorable prognosis of BCLM patients.
Table 4

Univariate and multivariate cox regression analyses of OS in BCLM patients

Univariable analysisMultivariable analysis
CharacteristicHazard ratio (95% CI)p valueCharacteristicHazard ratio (95% CI)p value
AgeAge
< 50Reference< 50
≥501.04 (0.86, 1.25)0.715≥50
ECOGECOG
0Reference0Reference
11.23 (0.96, 1.59)0.09911.13 (0.87, 1.46)0.351
22.62 (1.71, 4.01)< 0.00121.75 (1.12, 2.73)0.015
Pathological type
IDCReference
ILC0.97 (0.53, 1.76)0.912
Others0.79 (0.49, 1.27)0.324
T-stageT-stage
T1ReferenceT1Reference
T21.17 (0.92, 1.47)0.197T21.05 (0.83, 1.34)0.682
T31.51 (1.01, 2.26)0.044T31.10 (0.72, 1.69)0.654
T41.41 (0.94, 2.11)0.095T41.11 (0.70, 1.76)0.654
Unknown0.93 (0.70, 1.24)0.625Unknown0.98 (0.70, 1.37)0.896
N-stageN-stage
N0ReferenceN0Reference
N11.17 (0.90, 1.52)0.241N11.05 (0.80, 1.38)0.719
N21.34 (1.01, 1.77)0.045N21.06 (0.78, 1.44)0.708
N31.79 (1.36, 2.36)< 0.001N31.26 (0.91, 1.74)0.165
Unknown1.19 (0.84, 1.69)0.330Unknown1.01 (0.65, 1.55)0.977
M-stage
M0Reference
M11.15 (0.89, 1.49)0.296
SubtypeSubtype
HR+/HER2-ReferenceHR+/HER2-Reference
HR−/HER2+1.43 (1.08, 1.90)0.013HR−/HER2+1.35 (1.00, 1.83)0.051
HR+/HER2+1.04 (0.79, 1.37)0.769HR+/HER2+1.04 (0.78, 1.38)0.788
Triple-negative1.73 (1.36, 2.19)< 0.001Triple-negative1.76 (1.36, 2.29)< 0.001
Liver metastasesLiver metastases
NoReferenceNoReference
Yes2.71 (2.20, 3.35)< 0.001Yes2.19 (1.70, 2.82)< 0.001
Brain metastases
NoReference
Yes1.40 (0.94, 2.10)0.100
Bone metastasesBone metastases
NoReferenceNoReference
Yes1.43 (1.18, 1.74)< 0.001Yes1.13 (0.88, 1.44)0.344
Number of metastatic sitesNumber of metastatic sites
1Reference1Reference
21.86 (1.44, 2.40)< 0.00121.76 (1.34, 2.31)< 0.001
≥32.42 (1.89, 3.09)< 0.001≥31.74 (1.24, 2.44)0.001
DFSDFS
≤2 yearsReference≤2 yearsReference
> 2 years0.59 (0.48, 0.72)< 0.001> 2 years0.66 (0.53, 0.83)< 0.001
M10.81 (0.61, 1.08)0.147M10.76 (0.55, 1.06)0.105
First-line therapyFirst-line therapy
Single-agent chemotherapyReferenceSingle-agent chemotherapyReference
Combination therapy0.71 (0.47, 1.07)0.099Combination therapy0.69 (0.46, 1.05)0.085
Endocrine therapy0.43 (0.25, 0.75)0.003Endocrine therapy0.70 (0.39, 1.25)0.223

OS overall survival, BCLM breast cancer lung metastases, CI confidence interval, ECOG Eastern Cooperative Oncology Group, IDC invasive ductal carcinoma, ILC invasive lobular carcinoma, HR hormone receptor, HER2 human epidermal growth factor receptor 2, DFS disease-free survival

Univariate and multivariate cox regression analyses of OS in BCLM patients OS overall survival, BCLM breast cancer lung metastases, CI confidence interval, ECOG Eastern Cooperative Oncology Group, IDC invasive ductal carcinoma, ILC invasive lobular carcinoma, HR hormone receptor, HER2 human epidermal growth factor receptor 2, DFS disease-free survival

Discussion

In this retrospective study, we described the clinicopathological characteristics and analyzed the prognosis of patients with synchronous lung metastases at initial MBC diagnosis in China. We identified 809 patients with BCLM upon newly diagnosis of MBC, accounting for 35.7% of all MBC patients. Compared with other groups, patients with triple-negative subtype had the highest percentage of lung metastases, consistent with previous findings [14-16]. The incidence of lung metastasis in triple-negative breast cancer (TNBC) could reach up to 40% [17], similar with 42.3% in our data. Additionally, the prognosis of BCLM patients differed remarkably in tumor subtypes, varying between 26.8 months of triple-negative subtype and 49.0 months of HR+/HER2- subtype. Our study confirmed the results that TNBC was more aggressive and preferred to develop lung metastases. The molecular mechanisms underlying TNBC metastasis to lung might offer therapeutic targets for clinical prevention and management. Minn et al. [18] identified fascin as a mediator promoting basal-like breast cancer metastasis to lung, due to its close association with cell motility. Iriondo et al. [19] observed that inhibition of transforming growth factor-β1-activated kinase-1 (TAK1) could suppress lung metastasis in TNBC, which might provide a novel target for impairing TNBC lung metastasis. A single mutation on microrchidia family CW-type zinc finger 2 (MORC2) promoted TNBC lung metastasis by regulating heterogeneous nuclear ribonucleoprotein M (hnRNPM)- mediated CD44 splicing, which indicated that the knockdown of hnRNPM might reduce lung metastatic potential of TNBC cells with mutant MORC2 [20]. Another research revealed that the overexpression of transcription and export complex 2 subunit (ENY2) could promote TNBC progression and lung metastasis both in vitro and in vivo [21]. Further mechanisms clarifying TNBC lung metastasis are certainly worth exploring, which may provide potential targets for new drugs. Our data also indicated that patients with older age and worse performance status were more likely to present with lung metastases at initial MBC diagnosis. The increasing risk of lung metastases associated with aging was consistently found in population-based studies [6, 22]. On the contrary, previous studies observed that younger patients had a higher risk of liver metastases [5, 23]. Increased levels of urinary prostaglandin E-metabolite (PGE-M), a biomarker of inflammation, were observed in aging and lung metastases in patients with breast cancer [24]. Levels of multiple proinflammatory mediators, known as inducers of cyclooxygenase-2 (COX-2) and prostaglandin E2 (PGE2) synthesis, elevated during aging, which contributed to the increase of PGE-M, a catabolic product of PGE2 [25]. Overexpression of COX-2 in tumor cells within the lung metastases could explain the increased level of PGE-M [26]. It’s possible that age-related inflammatory conditions mediated breast cancer metastasis to the lung. The predictive features associated with different metastatic sites may help clinicians distinguish patients with distinct organ-specific metastases during the clinical practice. The BCLM patients in our data achieved a median OS of 41.7 months since MBC diagnosis, among which triple-negative subtype experienced the worst outcome of 26.8 months and HR+/HER2- subtype the best of 49.0 months. The prognosis of MBC patients varied remarkably by the metastatic organs, with the best for bone, followed by lung, liver and the worst for brain metastases [7, 27]. Previous findings recorded a survival ranging from 21.0 to 58.5 months in MBC patients with lung metastases [1, 6, 28]. A pulmonary metastasectomy study reported a median survival of 23.6 months in TNBC patients with an isolated and limited number of lung metastases, significantly poorer than HR+ or HER2+ patients [29]. A population-based research showed that TNBC patients with metastases confined to lung had a median OS of only 14.0 months [30]. TNBC is still lethal and remains intractable to existing treatments, extremely desirable for novel therapies to improve the prognosis. We also identified prognostic factors for survival of BCLM patients and found that worse performance status, triple-negative subtype, the simultaneous presence of liver metastases, multi-metastatic sites and shorter DFS were significantly correlated with poor outcome. Multiple sites of first metastases had significantly unfavorable prognosis than single site first metastases [31, 32]. In our data, the extrapulmonary metastases had 1.7 times of mortality risk than lung-only metastases at MBC diagnosis. Brain metastases also worsen the outcome of BCLM patients but the difference did not reach significance, probably due to the late onset of brain metastases during the clinical course, with an incidence of only 6.90 to 7.56% in newly MBC diagnosis patients [32-34]. BCLM patients with DFS shorter than 2 years experienced poorer survival, which indicated the intrinsic aggressiveness of the tumors. There were some limitations in our study. Firstly, discordance in tumor phenotype has been reported in multiple studies [35], but we did not have enough information on the receptor status of metastatic tumors, which might cause some bias in the analysis of incidence and survival outcomes when stratified by breast cancer subtype. Secondly, the fact that less than half of BCLM patients with HER2-positive received anti-HER2 therapy during first line limits the generalizability of the outcome results. Additionally, the number of lung lesions was an important risk factor for BCLM patients [36], but it was not documented in detail in our database. Finally, the retrospective nature of this research and relatively small population require future studies to confirm the results.

Conclusions

Our study provides essential information on clinicopathological features and survival outcomes of BCLM patients at initial diagnosis of MBC in China. The risk factors identified here help to screen breast cancer patients with high odds of lung metastases and BCLM patients with high risk of mortality. The early detection of metastases and proper evaluation of prognosis in clinical practice are beneficial to optimize the disease outcomes.
  36 in total

Review 1.  Triple-negative breast cancer.

Authors:  William D Foulkes; Ian E Smith; Jorge S Reis-Filho
Journal:  N Engl J Med       Date:  2010-11-11       Impact factor: 91.245

2.  Receptor Conversion in Distant Breast Cancer Metastases: A Systematic Review and Meta-analysis.

Authors:  Willemijne A M E Schrijver; Karijn P M Suijkerbuijk; Carla H van Gils; Elsken van der Wall; Cathy B Moelans; Paul J van Diest
Journal:  J Natl Cancer Inst       Date:  2018-06-01       Impact factor: 13.506

3.  4th ESO-ESMO International Consensus Guidelines for Advanced Breast Cancer (ABC 4)†.

Authors:  F Cardoso; E Senkus; A Costa; E Papadopoulos; M Aapro; F André; N Harbeck; B Aguilar Lopez; C H Barrios; J Bergh; L Biganzoli; C B Boers-Doets; M J Cardoso; L A Carey; J Cortés; G Curigliano; V Diéras; N S El Saghir; A Eniu; L Fallowfield; P A Francis; K Gelmon; S R D Johnston; B Kaufman; S Koppikar; I E Krop; M Mayer; G Nakigudde; B V Offersen; S Ohno; O Pagani; S Paluch-Shimon; F Penault-Llorca; A Prat; H S Rugo; G W Sledge; D Spence; C Thomssen; D A Vorobiof; B Xu; L Norton; E P Winer
Journal:  Ann Oncol       Date:  2018-08-01       Impact factor: 32.976

4.  Cancer-Associated MORC2-Mutant M276I Regulates an hnRNPM-Mediated CD44 Splicing Switch to Promote Invasion and Metastasis in Triple-Negative Breast Cancer.

Authors:  Fang-Lin Zhang; Jin-Ling Cao; Hong-Yan Xie; Rui Sun; Li-Feng Yang; Zhi-Ming Shao; Da-Qiang Li
Journal:  Cancer Res       Date:  2018-08-09       Impact factor: 12.701

Review 5.  Eicosanoids and cancer.

Authors:  Dingzhi Wang; Raymond N Dubois
Journal:  Nat Rev Cancer       Date:  2010-02-19       Impact factor: 60.716

6.  Prognostic factors in 1,038 women with metastatic breast cancer.

Authors:  R Largillier; J-M Ferrero; J Doyen; J Barriere; M Namer; V Mari; A Courdi; J M Hannoun-Levi; F Ettore; I Birtwisle-Peyrottes; C Balu-Maestro; P Y Marcy; I Raoust; M Lallement; E Chamorey
Journal:  Ann Oncol       Date:  2008-07-17       Impact factor: 32.976

7.  Risk Factors and Survival of Patients With Liver Metastases at Initial Metastatic Breast Cancer Diagnosis in Han Population.

Authors:  Shaoyan Lin; Hongnan Mo; Yiqun Li; Xiuwen Guan; Yimeng Chen; Zijing Wang; Peng Yuan; Jiayu Wang; Yang Luo; Ying Fan; Ruigang Cai; Qiao Li; Shanshan Chen; Pin Zhang; Qing Li; Fei Ma; Binghe Xu
Journal:  Front Oncol       Date:  2021-05-11       Impact factor: 6.244

8.  Risk factors and survival outcomes in patients with breast cancer and lung metastasis: a population-based study.

Authors:  Weikai Xiao; Shaoquan Zheng; Peng Liu; Yutian Zou; Xinhua Xie; Ping Yu; Hailin Tang; Xiaoming Xie
Journal:  Cancer Med       Date:  2018-02-23       Impact factor: 4.452

9.  The Clinicopathological features and survival outcomes of patients with different metastatic sites in stage IV breast cancer.

Authors:  Ru Wang; Yayun Zhu; Xiaoxu Liu; Xiaoqin Liao; Jianjun He; Ligang Niu
Journal:  BMC Cancer       Date:  2019-11-12       Impact factor: 4.430

10.  A nomogram for predicting survival in patients with de novo metastatic breast cancer: a population-based study.

Authors:  Wen Zhao; Lei Wu; Andi Zhao; Mi Zhang; Qi Tian; Yanwei Shen; Fan Wang; Biyuan Wang; Le Wang; Ling Chen; Xiaoai Zhao; Danfeng Dong; Lingxiao Zhang; Jin Yang
Journal:  BMC Cancer       Date:  2020-10-12       Impact factor: 4.430

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  1 in total

1.  Analysis of Clinical Characteristics, Treatment, and Prognostic Factors of 106 Breast Cancer Patients With Solitary Pulmonary Nodules.

Authors:  Lihong He; Xiaorui Wang; Xiaodong Liu; Yongsheng Jia; Weipeng Zhao; Xiaochen Jia; Yuehong Zhu; Wenjing Meng; Zhongsheng Tong
Journal:  Front Surg       Date:  2022-02-15
  1 in total

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