Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Chen S

PROVIDER: S-EPMC6924336 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Publications

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

Chen Siying S Yang Jin J Liu Yang Y You Haisheng H Dong Yalin Y Lyu Jun J

PeerJ 20191217

<h4>Background</h4>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.<h4>Methods</h4>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 ...[more]

PMID: 31871847

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Project description:ObjectivesLung metastases from gynaecological tract cancers are rare, and prognostic factors are still undefined. The goal of this study was to analyse prognostic factors for survival in this group of patients.MethodsData of patients with lung metastases from gynaecological tract cancers who underwent surgical resections from 1 January 2005 to 31 May 2019 were reviewed retrospectively. All patients were treated surgically if the primitive tumour was under control and the lung was the only organ involved. Clinical and pathological data associated with metastatic patterns and previous treatment types were correlated with overall survival (OS) and disease-free survival using Kaplan-Meier curves, whereas the log-rank test was used to assess differences between subgroups.ResultsThe analysis was conducted on 55 patients. OS was 65% at 5 years. With univariable analysis, age >45 years (P = 0.022) and the absence of pleural infiltration (P = 0.001) were determined to be favourable prognostic factors. The 5-year OS was 69.9% versus 53.3% in patients with pleural involvement. Multivariable analysis confirmed the absence of pleural infiltration as a favourable independent prognostic factor; the hazard ratio was 0.06; the 95% confidence interval was 0.00-0.23 (P = 0.011).At univariable analysis, the absence of pleural infiltration was determined to be a favourable prognostic factor (P = 0.034) for disease-free survival. The numbers and dimensions of the metastases did not influence survival in these patients.In uterine cancers of endometrial or cervical origin, the presence of pleural infiltration (P = 0.001), lymph node involvement (P = 0.001) and young age (P = 0.044) were considered unfavourable prognostic factors for OS.ConclusionsSurgical treatment in technically resectable gynaecological tract metastases may represent an important option. Pleural infiltration and lymph node metastases seem to be adverse prognostic factors.

Project description:BackgroundWe and others have recently shown that tumor characteristics are altered throughout tumor progression. These findings emphasize the need for re-examination of tumor characteristics at relapse and have led to recommendations from ESMO and the Swedish Breast Cancer group. Here, we aim to determine whether tumor characteristics and molecular subtypes in breast cancer metastases confer clinically relevant prognostic information for patients.Patients and methodsThe translational aspect of the Swedish multicenter randomized trial called TEX included 111 patients with at least one biopsy from a morphologically confirmed locoregional or distant breast cancer metastasis diagnosed from December 2002 until June 2007. All patients had detailed clinical information, complete follow-up, and metastasis gene expression information (Affymetrix array GPL10379). We assessed the previously published gene expression modules describing biological processes [proliferation, apoptosis, human epidermal receptor 2 (HER2) and estrogen (ER) signaling, tumor invasion, immune response, and angiogenesis] and pathways (Ras, MAPK, PTEN, AKT-MTOR, PI3KCA, IGF1, Src, Myc, E2F3, and β-catenin) and the intrinsic subtypes (PAM50). Furthermore, by contrasting genes expressed in the metastases in relation to survival, we derived a poor metastasis survival signature.ResultsA significant reduction in post-relapse breast cancer-specific survival was associated with low-ER receptor signaling and apoptosis gene module scores, and high AKT-MTOR, Ras, and β-catenin module scores. Similarly, intrinsic subtyping of the metastases provided statistically significant post-relapse survival information with the worst survival outcome in the basal-like [hazard ratio (HR) 3.7; 95% confidence interval (CI) 1.3-10.9] and HER2-enriched (HR 4.4; 95% CI 1.5-12.8) subtypes compared with the luminal A subtype. Overall, 25% of the metastases were basal-like, 32% HER2-enriched, 10% luminal A, 28% luminal B, and 5% normal-like.ConclusionsWe show that tumor characteristics and molecular subtypes of breast cancer metastases significantly influence post-relapse patient survival, emphasizing that molecular investigations at relapse provide prognostic and clinically relevant information. CLINICALTRIALS.GOV: This is the translational part of the Swedish multicenter and randomized trial TEX, clinicaltrials.gov identifier nct01433614 (http://www.clinicaltrials.gov/ct2/show/nct01433614).

Dataset Information

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

Background

Methods

Results

Conclusions

Publications

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

Similar Datasets

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