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Computer-aided molecular pathology interpretation in exploring prospective markers for oral submucous fibrosis progression.
Anura, Anji; Conjeti, Sailesh; Das, Raunak Kumar; Pal, Mousumi; Paul, Ranjan Rashmi; Bag, Swarnendu; Ray, Ajoy Kumar; Chatterjee, Jyotirmoy.
Afiliação
  • Anura A; School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India.
  • Conjeti S; School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India.
  • Das RK; Chair for Computer Aided Medical Procedures and Augmented Reality, Fakulät für Informatik, Technische Universität München, Garching bei München, Germany.
  • Pal M; School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India.
  • Paul RR; School of BioSciences and Technology & Centre for Biomaterials Science and Technology, Vellore Institute of Technology, VIT University, Vellore, Tamil Nadu, India.
  • Bag S; Guru Nanak Institute of Dental Science and Research, Panihati, Kolkata, West Bengal, India.
  • Ray AK; Guru Nanak Institute of Dental Science and Research, Panihati, Kolkata, West Bengal, India.
  • Chatterjee J; School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India.
Head Neck ; 38(5): 653-69, 2016 May.
Article em En | MEDLINE | ID: mdl-25532458
ABSTRACT

BACKGROUND:

Evaluation of molecular pathology markers using a computer-aided quantitative assessment framework would help to assess the altered states of cellular proliferation, hypoxia, and neoangiogenesis in oral submucous fibrosis and could improve diagnostic interpretation in gauging its malignant potentiality.

METHODS:

Immunohistochemical (IHC) expression of c-Myc, hypoxia-inducible factor-1-alpha (HIF-1α), vascular endothelial growth factor (VEGF), VEGFRII, and CD105 were evaluated in 58 biopsies of oral submucous fibrosis using computer-aided quantification. After digital stain separation of original chromogenic IHC images, quantification of the diaminobenzidine (DAB) reaction pattern was performed based on intensity and extent of cytoplasmic, nuclear, and stromal expression.

RESULTS:

Assessment of molecular expression proposed that c-Myc and HIF-1α may be used as strong screening markers, VEGF for risk-stratification and VEGFRII and CD105 for prognosis of precancer into oral cancer.

CONCLUSION:

Our analysis indicated that the proposed method can help in establishing IHC as an effective quantitative immunoassay for molecular pathology and alleviate diagnostic ambiguities in the clinical decision process.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fibrose Oral Submucosa / Biomarcadores Tumorais / Diagnóstico por Computador Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Head Neck Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fibrose Oral Submucosa / Biomarcadores Tumorais / Diagnóstico por Computador Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Head Neck Ano de publicação: 2016 Tipo de documento: Article