scholarly journals Subdivision of M1 Stage for De Novo Metastatic Breast Cancer to Better Predict Prognosis and Response to Primary Tumor Surgery

2019 ◽  
Vol 17 (12) ◽  
pp. 1521-1528 ◽  
Author(s):  
Caijin Lin ◽  
Jiayi Wu ◽  
Shuning Ding ◽  
Chihwan Goh ◽  
Lisa Andriani ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Metastatic Breast Cancer ◽  
Competing Risks ◽  
Primary Tumor ◽  
De Novo ◽  
Metastatic Breast ◽  
Tumor Surgery ◽  
Competing Risks Model ◽  
Metastatic Sites

Background: Patients with de novo metastatic breast cancer (MBC) constitute a heterogeneous group with different clinicopathologic characteristics and survival outcomes. Despite controversy regarding its prognostic value, primary tumor surgery may improve survival for selected patients. Patients and Methods: Patients with de novo MBC were identified using the SEER database and were then divided randomly into training and validation sets. A Fine-Gray competing risks model was developed to identify the variables associated with increased cancer-specific mortality in the training set. The M1 subdivision system was established based on the independent prognostic factors. Cumulative incidence curves were estimated and compared using Gray’s test. Results: Involvement of brain or liver and number of metastatic sites were identified as independent prognostic factors in multivariate analysis. The M1 category was subdivided into 3 subcategories: M1a, single site involvement except brain and liver; M1b, liver involvement only, or multiple site involvement except brain and liver; and M1c, brain involvement regardless of number of metastatic sites, or liver and other sites involvement except brain (M1b vs M1a: subdistribution hazard ratio [SHR], 1.48; 95% CI, 1.29–1.68; M1c vs M1a: SHR, 2.45; 95% CI, 2.18–2.75). Patients with the M1a subtype benefited most from primary tumor surgery in the adjusted competing risks model (M1a: SHR, 0.57; 95% CI, 0.48–0.67, M1b: SHR, 0.62; 95% CI, 0.47–0.83, and M1c: SHR, 0.59; 95% CI, 0.44–0.80), whereas benefits conferred by treatment with chemotherapy alone increased with the upstaging of metastatic disease (M1a: SHR, 0.72; 95% CI, 0.62–0.83, M1b: SHR, 0.54; 95% CI, 0.44–0.68, and M1c: SHR, 0.53; 95% CI, 0.45–0.61). Conclusions: Subdivision of M1 stage facilitates prognosis prediction and treatment planning for patients with de novo MBC. Treatment offered should be decided in a coordinated multidisciplinary setting. Primary tumor surgery may play an important role in the management of selected patients.

scholarly journals Survival impact of primary tumor resection in de novo metastatic breast cancer patients (GEICAM/El Alamo Registry)

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Sara Lopez-Tarruella ◽  
M. J. Escudero ◽  
Marina Pollan ◽  
Miguel Martín ◽  
Carlos Jara ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Cancer Patients ◽  
Primary Tumor ◽  
Cox Regression ◽  
De Novo ◽  
Histological Grade ◽  
Tumor Resection ◽  
Metastatic Breast ◽  
Breast Cancer Patients

AbstractThe debate about surgical resection of primary tumor (PT) in de novo metastatic breast cancer (MBC) patients persists. We explored this approach’s outcomes in patients included in a retrospective registry, named El Álamo, of breast cancer patients diagnosed in Spain (1990–2001). In this analysis we only included de novo MBC patients, 1415 of whom met the study’s criteria. Descriptive, Kaplan-Meier and Cox regression analyses were carried out. Median age was 63.1 years, 49.2% of patients had single-organ metastasis (skin/soft tissue [16.3%], bone [33.8%], or viscera [48.3%]). PT surgery (S) was performed in 44.5% of the cases. S-group patients were younger, had smaller tumors, higher prevalence of bone and oligometastatic disease, and lower prevalence of visceral involvement. With a median follow-up of 23.3 months, overall survival (OS) was 39.6 versus 22.4 months (HR = 0.59, p < 0.0001) in the S- and non-S groups, respectively. The S-group OS benefit remained statistically and clinically significant regardless of metastatic location, histological type, histological grade, hormone receptor status and tumor size. PT surgery (versus no surgery) was associated with an OS benefit suggesting that loco-regional PT control may be considered in selected MBC patients. Data from randomized controlled trials are of utmost importance to confirm these results.

Surgery of the primary tumor in de novo metastatic breast cancer patients

2021 ◽  
Vol 47 (2) ◽  
pp. e37
Author(s):  
Mariela Vasileva-Slaveva ◽  
Mihaela Dimitrova-Mladenova ◽  
Joana Simeonova ◽  
Assia Konsoulova ◽  
Elitza Valerieva ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Cancer Patients ◽  
Primary Tumor ◽  
De Novo ◽  
Metastatic Breast ◽  
Breast Cancer Patients

scholarly journals Surgery of the primary tumor for de novo metastatic breast cancer: The controversy continues

2018 ◽  
Vol 29 ◽  
pp. viii117
Author(s):  
B. López de San Vicente ◽  
E. Galve Calvo ◽  
A. Zumarraga ◽  
F. Pikab ea ◽  
J.F. Arango Arteaga ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Primary Tumor ◽  
De Novo ◽  
Metastatic Breast

scholarly journals Prognostic factors and survival outcomes according to tumor subtype in patients with breast cancer lung metastases

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e8298
Author(s):  
Siying Chen ◽  
Jin Yang ◽  
Yang Liu ◽  
Haisheng You ◽  
Yalin Dong ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Metastatic Breast Cancer ◽  
Cancer Patients ◽  
Triple Negative ◽  
Cox Regression ◽  
Lung Metastases ◽  
Metastatic Breast ◽  
Breast Cancer Patients ◽  
Metastatic Sites

Background Reports on the incidence and prognoses of lung metastases when diagnosing breast cancer patients with different subtypes are limited. Our study investigated the effect of molecular sub-typing stratification on the prognoses of lung metastatic breast caner patients. Methods Patients with breast cancer and lung metastases were identified from Surveillance, Epidemiology and End Results population-based data between 2010 and 2015. Univariate and multivariate Cox regression analyses were performed to identify risk factors and prognoses, overall survival (OS) and breast cancer-specific survival for patients with breast cancer lung metastases. Results We identified 6,516 patients with lung metastatic breast cancer, representing 1.7% of the entire cohort and 30.4% of the subset with metastatic disease. This included 2,940 hormone receptor (HR)+/HER2− patients, 852 HR+/HER2+ patients, 547 HR−/HER2+ patients and 983 triple-negative patients. The median OS for all lung metastatic patients was 13 months. Multivariate analysis revealed that those lung metastatic breast cancer patients of older age (>80), black race, with poorly differentiated tumors, carcinoma histology, triple-negative subtype, more metastatic sites and no surgery, and no chemotherapy showed significantly poor survival, both overall and breast cancer-specific. Conclusions Our findings show that molecular sub-type and more metastatic sites might have significant influence on the incidence and prognosis of breast cancer lung metastases. We also identified several prognostic factors that could guide therapy selection in the treatment of lung metastatic patients.

Survival among patients with untreated metastatic breast cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 1095-1095
Author(s):  
Jennifer Kay Plichta ◽  
Samantha M. Thomas ◽  
Sarah Sammons ◽  
Susan G.R. McDuff ◽  
Gayle DiLalla ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Triple Negative ◽  
De Novo ◽  
Metastatic Breast ◽  
Disease Characteristics ◽  
Select Patient ◽  
Comorbidity Scores ◽  
Receive Treatment ◽  
Metastatic Sites

1095 Background: Treatments for metastatic breast cancer (MBC) have significantly improved survival for patients who receive treatment, yet data describing the prognosis for untreated patients is lacking. Therefore, we sought to assess the survival outcomes of patients with de novo MBC who did not receive treatment. Methods: Adults with MBC at diagnosis (clinical M1 or pathologic M1) were selected from the NCDB (2010-2016) and stratified based on receipt of treatment (treated = received at least one treatment; untreated = received no treatments). Differences between patient groups were tested using Chi-square tests for categorical variables and t-tests for continuous variables. Overall survival (OS) was estimated using the Kaplan-Meier method for the overall cohort and stratified by select patient and/or disease characteristics, and groups were compared with log-rank tests. Cox Proportional Hazards models were used to identify factors associated with OS in the untreated MBC subgroup. Results: Of the 53,240 patients with de novo MBC, the median age was 61y (IQR 52-71), and the majority had a comorbidity score of 0 (81.2%). Within this cohort, 49,040 (92.1%) received at least one treatment (treated) and 4,200 (7.9%) had no documented treatments (untreated). Untreated patients were more likely to be older (median 68y vs 61y, p < 0.001) and have higher comorbidity scores (p < 0.001). Patients with untreated MBC were more likely to have triple negative disease (17.8% vs 12.6%), and a higher disease burden (≥2 metastatic sites: 38.2% untreated vs 29.2% treated, p < 0.001). The median unadjusted OS in the untreated subgroup was 2.5mo vs 36.4mo in the treated subgroup (p < 0.001). For those who survived at least 1mo post-diagnosis, the median unadjusted OS in the untreated subgroup was 6.9mo vs 37.3mo in the treated subgroup (p < 0.001), which increased to 18.6mo and 40.3mo for those who survived at least 3mo post-diagnosis (p < 0.001). In the untreated population, unadjusted OS varied by breast cancer subtype (median 3.8mo for HR+/HER2-, vs 2.6mo for HER2+, vs 2.1mo for triple negative, p < 0.001) and number of metastatic sites (4.1mo for 1 site, vs 1.8mo for 2 sites, vs 1.1mo for 3 sites, vs 1.2mo for ≥4 sites, p < 0.001). After adjustment, variables associated with a worse OS in the untreated cohort included older age, higher comorbidity scores, higher tumor grade, and triple negative (vs HR+/HER2-) tumor subtype (all p < 0.05), while the number of metastatic sites was not associated with survival; these same findings were also noted when the analysis was limited to those who survived at least 1mo post-diagnosis. Conclusions: Patients with de novo MBC who do not receive treatment are more likely to be older, present with comorbid conditions, and have clinically aggressive disease. Similar to those who do receive treatment, survival in an untreated population is associated with select patient and disease characteristics. However, the prognosis for untreated MBC is dismal.

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