Literature DB >> 31931492

Studying nanoscale structural alterations in cancer cells to evaluate ovarian cancer drug treatment, using transmission electron microscopy imaging.

Prakash Adhikari1, Mehedi Hasan, Vijayalakshmi Sridhar, Debarshi Roy, Prabhakar Pradhan.   

Abstract

Understanding nanoscale structural changes can provide information about the physical state of cells/tissues. It has now been shown that increases in nanoscale structural alterations are associated with the progress of carcinogenesis in most cancer cases, including early carcinogenesis. Anti-cancerous therapies are designed to inhibit the growth of cancer cells; however, it is challenging to detect the efficacy of such drugs in the early stages of treatment. A unique method of assessing the impact of anti-cancerous drugs on cancerous cells/tissues is to probe the nanoscale structural alterations. In this paper, we study the effect of different anti-cancerous drugs on ovarian tumorigenic cells, using their nanoscale structural alterations as a biomarker. Transmission electron microscopy (TEM) imaging on thin cell sections is performed to obtain their nanoscale structures. The degree of nanoscale structural alterations of tumorigenic cells and anti-cancerous drug treated tumorigenic cells are quantified by using the recently developed inverse participation ratio (IPR) technique. Results show an increase in the degree of nanoscale fluctuations in tumorigenic cells relative to non-tumorigenic cells; then a near-reversal of the degree of fluctuation in tumorigenic cells to that in non-tumorigenic cells, following anti-cancerous drug treatment. These results support that the effect of anti-cancerous drugs in cancer treatment can be quantified by using the degree of nanoscale fluctuations in the cells via TEM imaging. Potential applications of the technique for cancer treatment are also discussed.

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Year:  2020        PMID: 31931492      PMCID: PMC7346740          DOI: 10.1088/1478-3975/ab6abb

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  22 in total

1.  Insights into the field carcinogenesis of ovarian cancer based on the nanocytology of endocervical and endometrial epithelial cells.

Authors:  Dhwanil Damania; Hemant K Roy; Dhananja Kunte; Jean A Hurteau; Hariharan Subramanian; Lusik Cherkezyan; Nela Krosnjar; Maitri Shah; Vadim Backman
Journal:  Int J Cancer       Date:  2013-04-01       Impact factor: 7.396

2.  Quantification of nanoscale density fluctuations by electron microscopy: probing cellular alterations in early carcinogenesis.

Authors:  Prabhakar Pradhan; Dhwanil Damania; Hrushikesh M Joshi; Vladimir Turzhitsky; Hariharan Subramanian; Hemant K Roy; Allen Taflove; Vinayak P Dravid; Vadim Backman
Journal:  Phys Biol       Date:  2011-03-25       Impact factor: 2.583

3.  Quantitative analysis of nanoscale intranuclear structural alterations in hippocampal cells in chronic alcoholism via transmission electron microscopy imaging.

Authors:  Peeyush Sahay; Pradeep K Shukla; Hemendra M Ghimire; Huda M Almabadi; Vibha Tripathi; Samarendra K Mohanty; Radhakrishna Rao; Prabhakar Pradhan
Journal:  Phys Biol       Date:  2017-03-01       Impact factor: 2.583

4.  Quantification of photonic localization properties of targeted nuclear mass density variations: Application in cancer-stage detection.

Authors:  Peeyush Sahay; Aditya Ganju; Huda M Almabadi; Hemendra M Ghimire; Murali M Yallapu; Omar Skalli; Meena Jaggi; Subhash C Chauhan; Prabhakar Pradhan
Journal:  J Biophotonics       Date:  2018-01-17       Impact factor: 3.207

5.  Ovarian cancer statistics, 2018.

Authors:  Lindsey A Torre; Britton Trabert; Carol E DeSantis; Kimberly D Miller; Goli Samimi; Carolyn D Runowicz; Mia M Gaudet; Ahmedin Jemal; Rebecca L Siegel
Journal:  CA Cancer J Clin       Date:  2018-05-29       Impact factor: 508.702

6.  Correlations due to localization in quantum eigenfunctions of disordered microwave cavities

Authors: 
Journal:  Phys Rev Lett       Date:  2000-09-11       Impact factor: 9.161

7.  Optical methodology for detecting histologically unapparent nanoscale consequences of genetic alterations in biological cells.

Authors:  Hariharan Subramanian; Prabhakar Pradhan; Yang Liu; Ilker R Capoglu; Xu Li; Jeremy D Rogers; Alexander Heifetz; Dhananjay Kunte; Hemant K Roy; Allen Taflove; Vadim Backman
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-10       Impact factor: 11.205

8.  p53 mutations associated with aging-related rise in cancer incidence rates.

Authors:  Richard B Richardson
Journal:  Cell Cycle       Date:  2013-07-01       Impact factor: 4.534

9.  Loss of HSulf-1: The Missing Link between Autophagy and Lipid Droplets in Ovarian Cancer.

Authors:  Debarshi Roy; Susmita Mondal; Ashwani Khurana; Deok-Beom Jung; Robert Hoffmann; Xiaoping He; Eleftheria Kalogera; Thomas Dierks; Edward Hammond; Keith Dredge; Viji Shridhar
Journal:  Sci Rep       Date:  2017-02-07       Impact factor: 4.379

Review 10.  Chemoresistance in ovarian cancer: exploiting cancer stem cell metabolism.

Authors:  Shan Shan Li; Jing Ma; Alice S T Wong
Journal:  J Gynecol Oncol       Date:  2018-03       Impact factor: 4.401

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  2 in total

1.  Photonics probing of pup brain tissue and molecular-specific nuclear nanostructure alterations due to fetal alcoholism via light scattering/localization approaches.

Authors:  Prakash Adhikari; Pradeep Shukla; Fatemah Alharthi; Shiva Bhandari; Avtar Meena; Radhakrishna Rao; Prabhakar Pradhan
Journal:  J Biomed Opt       Date:  2022-07       Impact factor: 3.758

2.  Universal Markers Unveil Metastatic Cancerous Cross-Sections at Nanoscale.

Authors:  Evangelos Bakalis; Angelo Ferraro; Vassilios Gavriil; Francesco Pepe; Zoe Kollia; Alkiviadis-Constantinos Cefalas; Umberto Malapelle; Evangelia Sarantopoulou; Giancarlo Troncone; Francesco Zerbetto
Journal:  Cancers (Basel)       Date:  2022-07-31       Impact factor: 6.575

  2 in total

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