Prediction of Bone Metastasis in Inflammatory Breast Cancer Using a Markov Chain Model. (5th April 2019)
- Record Type:
- Journal Article
- Title:
- Prediction of Bone Metastasis in Inflammatory Breast Cancer Using a Markov Chain Model. (5th April 2019)
- Main Title:
- Prediction of Bone Metastasis in Inflammatory Breast Cancer Using a Markov Chain Model
- Authors:
- Fujii, Takeo
Mason, Jeremy
Chen, Angela
Kuhn, Peter
Woodward, Wendy A.
Tripathy, Debu
Newton, Paul K.
Ueno, Naoto T. - Abstract:
- Abstract: Background: Inflammatory breast cancer (IBC) is a rare yet aggressive variant of breast cancer with a high recurrence rate. We hypothesized that patterns of metastasis differ between IBC and non‐IBC. We focused on the patterns of bone metastasis throughout disease progression to determine statistical differences that can lead to clinically relevant outcomes. Our primary outcome of this study is to quantify and describe this difference with a view to applying the findings to clinically relevant outcomes for patients. Subjects, Materials, and Methods: We retrospectively collected data of patients with nonmetastatic IBC ( n = 299) and non‐IBC ( n = 3, 436). Probabilities of future site‐specific metastases were calculated. Spread patterns were visualized to quantify the most probable metastatic pathways of progression and to categorize spread pattern based on their propensity to subsequent dissemination of cancer. Results: In patients with IBC, the probabilities of developing bone metastasis after chest wall, lung, or liver metastasis as the first site of progression were high: 28%, 21%, and 21%, respectively. For patients with non‐IBC, the probability of developing bone metastasis was fairly consistent regardless of initial metastasis site. Conclusion: Metastatic patterns of spread differ between patients with IBC and non‐IBC. Selection of patients with IBC with known liver, chest wall, and/or lung metastasis would create a population in whom to investigate effectiveAbstract: Background: Inflammatory breast cancer (IBC) is a rare yet aggressive variant of breast cancer with a high recurrence rate. We hypothesized that patterns of metastasis differ between IBC and non‐IBC. We focused on the patterns of bone metastasis throughout disease progression to determine statistical differences that can lead to clinically relevant outcomes. Our primary outcome of this study is to quantify and describe this difference with a view to applying the findings to clinically relevant outcomes for patients. Subjects, Materials, and Methods: We retrospectively collected data of patients with nonmetastatic IBC ( n = 299) and non‐IBC ( n = 3, 436). Probabilities of future site‐specific metastases were calculated. Spread patterns were visualized to quantify the most probable metastatic pathways of progression and to categorize spread pattern based on their propensity to subsequent dissemination of cancer. Results: In patients with IBC, the probabilities of developing bone metastasis after chest wall, lung, or liver metastasis as the first site of progression were high: 28%, 21%, and 21%, respectively. For patients with non‐IBC, the probability of developing bone metastasis was fairly consistent regardless of initial metastasis site. Conclusion: Metastatic patterns of spread differ between patients with IBC and non‐IBC. Selection of patients with IBC with known liver, chest wall, and/or lung metastasis would create a population in whom to investigate effective methods for preventing future bone metastasis. Implications for Practice: This study demonstrated that the patterns of metastasis leading to and following bone metastasis differ significantly between patients with inflammatory breast cancer (IBC) and those with non‐IBC. Patients with IBC had a progression pattern that tended toward the development of bone metastasis if they had previously developed metastases in the liver, chest wall, and lung, rather than in other sites. Selection of patients with IBC with known liver, chest wall, and/or lung metastasis would create a population in whom to investigate effective methods for preventing future bone metastasis. Abstract : Inflammatory breast cancer (IBC) is rare, but aggressive. This article compares IBC and non‐IBC, focusing on the differences in patterns of metastasis leading to and following bone metastasis. … (more)
- Is Part Of:
- Oncologist. Volume 24:Number 10(2019)
- Journal:
- Oncologist
- Issue:
- Volume 24:Number 10(2019)
- Issue Display:
- Volume 24, Issue 10 (2019)
- Year:
- 2019
- Volume:
- 24
- Issue:
- 10
- Issue Sort Value:
- 2019-0024-0010-0000
- Page Start:
- 1322
- Page End:
- 1330
- Publication Date:
- 2019-04-05
- Subjects:
- Breast cancer -- Inflammatory breast cancer -- Bone metastasis -- Prediction model -- Markov chain model
Oncology -- Periodicals
Tumors -- Periodicals
Cancérologie -- Périodiques
Tumeurs -- Périodiques
Oncology
Tumors
Neoplasms
Electronic journals
Periodicals
Periodicals
616.994 - Journal URLs:
- https://academic.oup.com/oncolo ↗
https://theoncologist.onlinelibrary.wiley.com/journal/1549490x ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1634/theoncologist.2018-0713 ↗
- Languages:
- English
- ISSNs:
- 1083-7159
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6256.890000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20727.xml