title: Finding an optimum immuno-histochemical feature set to distinguish benign phyllodes from fibroadenoma.
abstract: OBJECTIVE
  Benign phyllodes and fibroadenoma are two well-known breast tumors with remarkable diagnostic ambiguity. The present study is aimed at determining an optimum set of immuno-histochemical features to distinguish them by analyzing important observations on expressions of important genes in fibro-glandular tissue.
  
  
  METHODS
  Immuno-histochemically, the expressions of p63 and α-SMA in myoepithelial cells and collagen I, III and CD105 in stroma of tumors and their normal counterpart were studied. Semi-quantified features were analyzed primarily by ANOVA and ranked through F-scores for understanding relative importance of group of features in discriminating three classes followed by reduction in F-score arranged feature space dimension and application of inter-class Bhattacharyya distances to distinguish tumors with an optimum set of features.
  
  
  RESULTS
  Among thirteen studied features except one all differed significantly in three study classes. F-Ranking of features revealed highest discriminative potential of collagen III (initial region). F-Score arranged feature space dimension and application of Bhattacharyya distance gave rise to a feature set of lower dimension which can discriminate benign phyllodes and fibroadenoma effectively.
  
  
  CONCLUSIONS
  The work definitely separated normal breast, fibroadenoma and benign phyllodes, through an optimal set of immuno-histochemical features which are not only useful to address diagnostic ambiguity of the tumors but also to spell about malignant potentiality.
authors.affiliation: School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India.
authors.forename: Priti Prasanna
authors.initials: PP
authors.lastname: Maity
authors.forename: Subhamoy
authors.initials: S
authors.lastname: Chatterjee
authors.forename: Raunak Kumar
authors.initials: RK
authors.lastname: Das
authors.forename: Subhalaxmi
authors.initials: S
authors.lastname: Mukhopadhyay
authors.forename: Ashok
authors.initials: A
authors.lastname: Maity
authors.forename: Dhrubajyoti
authors.initials: D
authors.lastname: Maulik
authors.forename: Ajoy Kumar
authors.initials: AK
authors.lastname: Ray
authors.forename: Santanu
authors.initials: S
authors.lastname: Dhara
authors.forename: Jyotirmoy
authors.initials: J
authors.lastname: Chatterjee
mesh_terms: D014408:Biomarkers, Tumor / Q000032:analysis*; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000473:pathology; D003937:Diagnosis, Differential; D005260:Female; D018226:Fibroadenoma / Q000175:diagnosis* / Q000473:pathology; D006801:Humans; D007150:Immunohistochemistry / Q000379:methods*; D010336:Pathology / Q000379:methods*; D003557:Phyllodes Tumor / Q000175:diagnosis* / Q000473:pathology
chemical_list: D014408:Biomarkers, Tumor