Literature DB >> 22504875

Nuclear morphometry, nucleomics and prostate cancer progression.

Robert W Veltri1, Christhunesa S Christudass, Sumit Isharwal.   

Abstract

Prostate cancer (PCa) results from a multistep process. This process includes initiation, which occurs through various aging events and multiple insults (such as chronic infection, inflammation and genetic instability through reactive oxygen species causing DNA double-strand breaks), followed by a multistep process of progression. These steps include several genetic and epigenetic alterations, as well as alterations to the chromatin structure, which occur in response to the carcinogenic stress-related events that sustain proliferative signaling. Events such as evading growth suppressors, resisting cell death, enabling replicative immortality, inducing angiogenesis, and activating invasion and metastasis are readily observed. In addition, in conjunction with these critical drivers of carcinogenesis, other factors related to the etiopathogenesis of PCa, involving energy metabolism and evasion of the immune surveillance system, appear to be involved. In addition, when cancer spread and metastasis occur, the 'tumor microenvironment' in the bone of PCa patients may provide a way to sustain dormancy or senescence and eventually establish a 'seed and soil' site where PCa proliferation and growth may occur over time. When PCa is initiated and progression ensues, significant alterations in nuclear size, shape and heterochromatin (DNA transcription) organization are found, and key nuclear transcriptional and structural proteins, as well as multiple nuclear bodies can lead to precancerous and malignant changes. These series of cellular and tissue-related malignancy-associated events can be quantified to assess disease progression and management.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22504875      PMCID: PMC3720156          DOI: 10.1038/aja.2011.148

Source DB:  PubMed          Journal:  Asian J Androl        ISSN: 1008-682X            Impact factor:   3.285


  97 in total

Review 1.  Integrated diagnostics: a conceptual framework with examples.

Authors:  Anant Madabhushi; Scott Doyle; George Lee; Ajay Basavanhally; James Monaco; Steve Masters; John Tomaszewski; Michael Feldman
Journal:  Clin Chem Lab Med       Date:  2010-07       Impact factor: 3.694

Review 2.  Exploring the effects of a dysfunctional nuclear matrix.

Authors:  Lauren S Elcock; Joanna M Bridger
Journal:  Biochem Soc Trans       Date:  2008-12       Impact factor: 5.407

Review 3.  Decision support systems for morphology-based diagnosis and prognosis of prostate neoplasms: a methodological approach.

Authors:  Rodolfo Montironi; Liang Cheng; Antonio Lopez-Beltran; Roberta Mazzucchelli; Marina Scarpelli; Peter H Bartels
Journal:  Cancer       Date:  2009-07-01       Impact factor: 6.860

Review 4.  Nuclear structure, organization, and oncogenesis.

Authors:  Amanda L Rynearson; Caroline R Sussman
Journal:  J Gastrointest Cancer       Date:  2011-06

5.  Risk of prostate cancer-specific mortality following biochemical recurrence after radical prostatectomy.

Authors:  Stephen J Freedland; Elizabeth B Humphreys; Leslie A Mangold; Mario Eisenberger; Frederick J Dorey; Patrick C Walsh; Alan W Partin
Journal:  JAMA       Date:  2005-07-27       Impact factor: 56.272

6.  Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.

Authors:  Anant Madabhushi; Shannon Agner; Ajay Basavanhally; Scott Doyle; George Lee
Journal:  Comput Med Imaging Graph       Date:  2011-02-17       Impact factor: 4.790

Review 7.  HMGNs, DNA repair and cancer.

Authors:  Gabi Gerlitz
Journal:  Biochim Biophys Acta       Date:  2009-12-08

Review 8.  Rethinking the Warburg effect with Myc micromanaging glutamine metabolism.

Authors:  Chi V Dang
Journal:  Cancer Res       Date:  2010-01-19       Impact factor: 12.701

9.  Grading of prostatic cancer: III. Multivariate analysis of prognostic parameters.

Authors:  F H Schroeder; W C Hop; J H Blom; F K Mostofi
Journal:  Prostate       Date:  1985       Impact factor: 4.104

Review 10.  The cancer genome.

Authors:  Michael R Stratton; Peter J Campbell; P Andrew Futreal
Journal:  Nature       Date:  2009-04-09       Impact factor: 49.962

View more
  13 in total

Review 1.  Sizing and shaping the nucleus: mechanisms and significance.

Authors:  Predrag Jevtić; Lisa J Edens; Lidija D Vuković; Daniel L Levy
Journal:  Curr Opin Cell Biol       Date:  2014-02-04       Impact factor: 8.382

Review 2.  Advances in the computational and molecular understanding of the prostate cancer cell nucleus.

Authors:  Neil M Carleton; George Lee; Anant Madabhushi; Robert W Veltri
Journal:  J Cell Biochem       Date:  2018-06-20       Impact factor: 4.429

3.  Epithelial-mesenchymal transition in prostate cancer is associated with quantifiable changes in nuclear structure.

Authors:  James E Verdone; Princy Parsana; Robert W Veltri; Kenneth J Pienta
Journal:  Prostate       Date:  2014-10-18       Impact factor: 4.104

4.  Association between Nuclear Morphometry Parameters and Gleason Grade in Patients with Prostatic Cancer.

Authors:  Kamil Malshy; Gilad E Amiel; Dov Hershkovitz; Edmond Sabo; Azik Hoffman
Journal:  Diagnostics (Basel)       Date:  2022-05-31

5.  Acquisition of paclitaxel resistance is associated with a more aggressive and invasive phenotype in prostate cancer.

Authors:  John J Kim; Bo Yin; Christhunesa S Christudass; Naoki Terada; Krithika Rajagopalan; Ben Fabry; Danielle Y Lee; Takumi Shiraishi; Robert H Getzenberg; Robert W Veltri; Steven S An; Steven M Mooney
Journal:  J Cell Biochem       Date:  2013-06       Impact factor: 4.429

6.  High mobility group A1 (HMGA1) protein and gene expression correlate with ER-negativity and poor outcomes in breast cancer.

Authors:  Mikhail Gorbounov; Neil M Carleton; Rebecca J Asch-Kendrick; Lingling Xian; Lisa Rooper; Lionel Chia; Ashley Cimino-Mathews; Leslie Cope; Alan Meeker; Vered Stearns; Robert W Veltri; Young Kyung Bae; Linda M S Resar
Journal:  Breast Cancer Res Treat       Date:  2019-09-17       Impact factor: 4.624

7.  Development of a nuclear morphometric signature for prostate cancer risk in negative biopsies.

Authors:  Peter H Gann; Ryan Deaton; Anup Amatya; Mahesh Mohnani; Erika Enk Rueter; Yirong Yang; Viju Ananthanarayanan
Journal:  PLoS One       Date:  2013-07-26       Impact factor: 3.240

8.  The Quantitative Criteria Based on the Fractal Dimensions, Entropy, and Lacunarity for the Spatial Distribution of Cancer Cell Nuclei Enable Identification of Low or High Aggressive Prostate Carcinomas.

Authors:  Przemyslaw Waliszewski
Journal:  Front Physiol       Date:  2016-02-11       Impact factor: 4.566

9.  Nuclear Morphometric Analysis of Leydig Cells of Male Pubertal Rats Exposed In Utero to Di(n-butyl) Phthalate.

Authors:  Shin Wakui; Masaya Motohashi; Takemi Satoh; Masaru Shirai; Tomoko Mutou; Hiroyuki Takahashi; Michael F Wempe; Hitoshi Endou; Tomoo Inomata; Masao Asari
Journal:  J Toxicol Pathol       Date:  2013-12-26       Impact factor: 1.628

10.  Detecting and segmenting cell nuclei in two-dimensional microscopy images.

Authors:  Chi Liu; Fei Shang; John A Ozolek; Gustavo K Rohde
Journal:  J Pathol Inform       Date:  2016-10-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.