Literature DB >> 15185001

Functional maps of metastases from breast cancers: proof of the principle that multidimensional scaling can summarize disease progression.

Lincoln C Gray1, Jayant S Vaidya, Michael Baum, Rajendra A Badwe, Indraneel Mittra, Tariq Siddiqui, Dorothea Wiarda.   

Abstract

The mathematic technique of multidimensional scaling can create "functional maps" of metastases from breast cancer such that positions of organs in these maps are proportional to the probability of metastases. Areas that are likely to share disease are close together in a functional map, even though they may be physically distant, and vice versa. Two functional maps of breast cancers-one of local metastases to axillary levels I to III and another of distant metastases-are statistically significant and clinically meaningful. The maps accurately reflect the clinical data ( r > 0.97, p < 0.01), and so the progression of disease is revealed in simple visual summaries. As an analogy, the metastatic sites are like buoys on a fluid surface, and cancer spreads from a primary tumor like waves emanating from a point of impact on that surface. Metastases are predicted when the waves swamp the buoys. Because breast cancers do not always spread to the next nearest site, these functional maps do not resemble anatomic maps. The maps are a view of the body as "seen" by the tumor. Several well known clinical features are seen in these maps: most local metastases are to axillary level I; upper-inner primaries spread equally to levels II and III; in-transit metastases in the lymph and blood vessels do not follow the pattern of other distant metastases. Future functional maps can expand these summary diagrams to include biologic parameters (gene-expression profiles or endocrine response) and give valuable insights into patterns of recurrence in different populations.

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Year:  2004        PMID: 15185001     DOI: 10.1007/s00268-004-7207-9

Source DB:  PubMed          Journal:  World J Surg        ISSN: 0364-2313            Impact factor:   3.352


  25 in total

1.  A functional map of cervical metastases from oral squamous cell carcinoma.

Authors:  L Gray; J Woolgar; J Brown
Journal:  Acta Otolaryngol       Date:  2000-10       Impact factor: 1.494

2.  J-Express: exploring gene expression data using Java.

Authors:  B Dysvik; I Jonassen
Journal:  Bioinformatics       Date:  2001-04       Impact factor: 6.937

3.  Using multidimensional scaling on data from pairs of relatives to explore the dimensionality of categorical multifactorial traits.

Authors:  J M Meyer; A C Heath; L J Eaves
Journal:  Genet Epidemiol       Date:  1992       Impact factor: 2.135

4.  Internal mammary lymph node drainage patterns in patients with breast cancer documented by breast lymphoscintigraphy.

Authors:  D R Byrd; L K Dunnwald; D A Mankoff; B O Anderson; R E Moe; R S Yeung; E K Schubert; J F Eary
Journal:  Ann Surg Oncol       Date:  2001-04       Impact factor: 5.344

5.  Functional mapping of glomus tumors reveals underlying embryology.

Authors:  L Gray
Journal:  Int J Med Inform       Date:  1997-05       Impact factor: 4.046

6.  Cyclin E and survival in patients with breast cancer.

Authors:  Khandan Keyomarsi; Susan L Tucker; Thomas A Buchholz; Matthew Callister; Ye Ding; Gabriel N Hortobagyi; Isabelle Bedrosian; Christopher Knickerbocker; Wendy Toyofuku; Michael Lowe; Thaddeus W Herliczek; Sarah S Bacus
Journal:  N Engl J Med       Date:  2002-11-14       Impact factor: 91.245

7.  Molecular classification of breast cancer patients by gene expression profiling.

Authors:  A Ahr; U Holtrich; C Solbach; A Scharl; K Strebhardt; T Karn; M Kaufmann
Journal:  J Pathol       Date:  2001-10       Impact factor: 7.996

Review 8.  Molecular classification of human diffuse gliomas by multidimensional scaling analysis of gene expression profiles parallels morphology-based classification, correlates with survival, and reveals clinically-relevant novel glioma subsets.

Authors:  Gregory N Fuller; Kenneth R Hess; Chang Hun Rhee; W K Alfred Yung; Raymond A Sawaya; Janet M Bruner; Wei Zhang
Journal:  Brain Pathol       Date:  2002-01       Impact factor: 6.508

9.  Multidimensional scaling of head and neck metastases.

Authors:  L Gray; K T Robbins; R Byers
Journal:  Int J Biomed Comput       Date:  1992-10

Review 10.  Patterns of recurrence in Western and Japanese women with breast cancer.

Authors:  M A Chaudary
Journal:  Breast Cancer Res Treat       Date:  1991-05       Impact factor: 4.872

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  2 in total

1.  Functional mapping of pattern and probability of locoregional and distant metastases: can FDG-PET/CT imaging data be the basis for multidimensional scaling in patients with cancer?

Authors:  Sandip Basu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-09       Impact factor: 9.236

Review 2.  The Stem Cell Network model: clinical implications in cancer.

Authors:  Rubén Cabanillas; José L Llorente
Journal:  Eur Arch Otorhinolaryngol       Date:  2008-09-20       Impact factor: 2.503

  2 in total

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