291. Clinical Course of Breast Cancer Patients with Lung Metastasis and the Effect of CXR Surveillance

Breast cancer is the most common malignant disease in women. Metastasis is the foremost cause of death. Breast tumor cells have a proclivity to metastasize to specific organs. The lung is one of the most common sites of breast cancer metastasis. Therefore, we aimed to build a useful and convenient prediction tool based on several genes that may affect lung metastasis-free survival (LMFS). We preliminarily identified 319 genes associated with lung metastasis in the training set GSE5327 (n = 58). Enrichment analysis of GO functions and KEGG pathways was conducted based on these genes. The best genes for modeling were selected using a robust likelihood-based survival modeling approach: GOLGB1, TMEM158, CXCL8, MCM5, HIF1AN, and TSPAN31. A prognostic nomogram for predicting lung metastasis in breast cancer was developed based on these six genes. The effectiveness of the nomogram was evaluated in the training set GSE5327 and the validation set GSE2603. Both the internal validation and the external validation manifested the effectiveness of our 6-gene prognostic nomogram in predicting the lung metastasis risk of breast cancer patients. On the other hand, in the validation set GSE2603, we found that neither the six genes in the nomogram nor the risk predicted by the nomogram were associated with bone metastasis of breast cancer, preliminarily suggesting that these genes and nomogram were specifically associated with lung metastasis of breast cancer. What’s more, five genes in the nomogram were significantly differentially expressed between breast cancer and normal breast tissues in the TIMER database. In conclusion, we constructed a new and convenient prediction model based on 6 genes that showed practical value in predicting the lung metastasis risk for clinical breast cancer patients. In addition, some of these genes could be treated as potential metastasis biomarkers for antimetastatic therapy in breast cancer. The evolution of this nomogram will provide a good reference for the prediction of tumor metastasis to other specific organs.

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Value of preoperative staging of breast cancer patients using computed tomography to detect asymptomatic lung and liver metastasis

Journal of Clinical Oncology ◽

10.1200/jco.2009.27.15_suppl.1105 ◽

2009 ◽

Vol 27 (15_suppl) ◽

pp. 1105-1105

Author(s):

W. Han ◽

H. Kim ◽

J. Lee ◽

K. Lee ◽

H. Moon ◽

...

Keyword(s):

Breast Cancer ◽

Computed Tomography ◽

Liver Metastasis ◽

Cancer Patients ◽

Early Breast Cancer ◽

Lung Metastasis ◽

Stage Iii ◽

Breast Cancer Patients ◽

Metastatic Lesions ◽

Treatment Plans

1105 Background: Preoperative clinical staging in breast cancer patients is important to determine the most appropriate treatment plans and to predict prognosis for individual patients. Identifying unexpected distant metastases in newly diagnosed breast cancer patients frequently alters initial treatment plans. Routine imaging studies to detect lung or liver metastasis is not indicated in patients with early and operable breast cancer. A recent study showed that routine use of chest radiograph and liver ultrasound does not provide much diagnostic benefit in early breast cancer patients. Methods: We aimed to investigate the value of preoperative computed tomography to detect asymptomatic liver and lung metastasis in breast cancer patients. We performed preoperative CT for 667 breast cancer patients to detect lung and liver metastasis among 1,636 primary breast cancer patients who had been diagnosed and treated between January 2006 and December 2007 at Seoul National University Hospital. Results: CT showed abnormal findings (suspicious of metastasis or indeterminate nodules) in 78 patients (10.5%). Among these, abnormal finding in 13 patients (1.7%) turned out to be true metastatic lesions. There was no CT-detected lung or liver metastasis in patients with T1 tumor and 4 metastases in patients with T2 tumor. There was no CT-detected lung or liver metastasis in patients with negative axillary lymph node metastasis. When patients were classified according to the AJCC staging, CT-detected true metastatic lesions were only present in stage III patients (13 out of 173 patients, 7.5%). The true metastatic lesions in lung or liver were all small sized nodules, ranging from 0.3cm to 1.2cm in largest diameters. In seven patients, the CT-detected metastatic lesions were less than 1cm which is in contrast with the previous studies. Conclusions: Our results demonstrated the lack of usefulness in performing routine CT exams to detect asymptomatic liver and lung metastasis in early breast cancer patients. Staging CT might be useful in stage III patients, since 13 (7.5%) patients were upstaged to stage IV by the use of CT. No significant financial relationships to disclose.

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