Literature DB >> 31006377

The fractal dimension of chromatin - a potential molecular marker for carcinogenesis, tumor progression and prognosis.

Konradin Metze1, Randall Adam1, João Batista Florindo2.   

Abstract

INTRODUCTION: Fractality is omnipresent in medicine and life sciences. In particular, the fractal principle is found simultaneously at different organization levels of the cell nucleus. The aim of this review is to show whether fractal characteristics of chromatin could be related to tumor pathology and pathophysiology. Areas covered: This review provides an overview of the application of fractal measurements of chromatin or DNA for the characterization of physiological or pathological processes, in particular for the detection of preneoplastic changes, the characterization of tumor progression, the differential diagnosis between neoplasms and for prognosis. We used a network-based literature research strategy, i.e. after a systematic investigation by key-words, we looked for all citations (and the citations to these citations) of the selected papers in Scopus and Webofscience. Expert opinion: The fractal dimension (FD) increases during carcinogenesis, thus permitting the diagnosis of malignancy. In various malignant tumors, a higher FD or diminished goodness-of-fit of its regression line indicates a more aggressive behavior and worse prognosis. Applying new spectral techniques, the chromatin FD can be estimated at scales below the light microscopic resolution. The latter also permits the examination of live cells and studies on field carcinogenesis and chemoprophylaxis.

Entities:  

Keywords:  Fractal dimension; goodness-of-fit; lacunarity; prognostic factor; succolarity

Mesh:

Substances:

Year:  2019        PMID: 31006377     DOI: 10.1080/14737159.2019.1597707

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  5 in total

1.  Morphological, fractal, and textural features for the blood cell classification: the case of acute myeloid leukemia.

Authors:  Marko Dinčić; Tamara B Popović; Milica Kojadinović; Alexander M Trbovich; Andjelija Ž Ilić
Journal:  Eur Biophys J       Date:  2021-10-12       Impact factor: 1.733

2.  Role of fractal analysis in detection of dysplasia in potentially malignant disorders.

Authors:  Javed Iqbal; Ranjitkumar Patil; Vikram Khanna; Anurag Tripathi; Vandana Singh; M A I Munshi; Rahul Tiwari
Journal:  J Family Med Prim Care       Date:  2020-05-31

3.  Machine Learning to Predict Risk of Relapse Using Cytologic Image Markers in Patients With Acute Myeloid Leukemia Posthematopoietic Cell Transplantation.

Authors:  Sara Arabyarmohammadi; Patrick Leo; Vidya Sankar Viswanathan; Andrew Janowczyk; German Corredor; Pingfu Fu; Howard Meyerson; Leland Metheny; Anant Madabhushi
Journal:  JCO Clin Cancer Inform       Date:  2022-05

Review 4.  The seen and the unseen: Molecular classification and image based-analysis of gastrointestinal cancers.

Authors:  Corina-Elena Minciuna; Mihai Tanase; Teodora Ecaterina Manuc; Stefan Tudor; Vlad Herlea; Mihnea P Dragomir; George A Calin; Catalin Vasilescu
Journal:  Comput Struct Biotechnol J       Date:  2022-09-12       Impact factor: 6.155

5.  Valproic acid-induced changes of 4D nuclear morphology in astrocyte cells.

Authors:  Alexandr A Kalinin; Xinhai Hou; Alex S Ade; Gordon-Victor Fon; Walter Meixner; Gerald A Higgins; Jonathan Z Sexton; Xiang Wan; Ivo D Dinov; Matthew J O'Meara; Brian D Athey
Journal:  Mol Biol Cell       Date:  2021-04-28       Impact factor: 4.138

  5 in total

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