Literature DB >> 30064657

The PreCancer Atlas (PCA).

Sudhir Srivastava1, Sharmistha Ghosh2, Jacob Kagan2, Richard Mazurchuk2.   

Abstract

Reproduced from https://visualsonline.cancer.gov/details.cfm?imageid=11474. Early detection offers a better chance of saving lives from cancer. The National Cancer Institute (NCI) supports research to improve cancer detection in its early stages, when it may be most treatable, and to accurately assess how likely it is for a precancerous growth to progress to life-threatening disease. The PreCancer Atlas (PCA) of the NCI envisages a histological and multi-omic mapping strategy in time and space to provide detailed molecular, cellular, and structural characterization of premalignant lesions and how they evolve to invasive cancers. The PCA will result in a paradigm shift in our knowledge of events initiating carcinogenesis, which may also be relevant to understanding pathogenesis related to exposure to carcinogens. It will also develop a greater understanding of the biological underpinnings of how premalignant lesions transition to invasive cancers, will help identify largely unknown molecular mechanisms operating in the clinically and microscopically occult phase of human carcinogenesis, and open unprecedented opportunities for the development of effective strategies for the early detection and prevention of cancers. Thus, the PCA represents more than an incremental advance in the field and will generate data that may change the standards of practice in oncology. Published by Elsevier Inc.

Entities:  

Year:  2018        PMID: 30064657     DOI: 10.1016/j.trecan.2018.06.003

Source DB:  PubMed          Journal:  Trends Cancer        ISSN: 2405-8025


  7 in total

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Authors:  Hongcheng Mai; Zhouyi Rong; Shan Zhao; Ruiyao Cai; Hanno Steinke; Ingo Bechmann; Ali Ertürk
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Review 3.  From Omics to Multi-Omics Approaches for In-Depth Analysis of the Molecular Mechanisms of Prostate Cancer.

Authors:  Ekaterina Nevedomskaya; Bernard Haendler
Journal:  Int J Mol Sci       Date:  2022-06-03       Impact factor: 6.208

4.  FAM83A is a potential biomarker for breast cancer initiation.

Authors:  Natascia Marino; Rana German; Ram Podicheti; Pam Rockey; George E Sandusky; Constance J Temm; Harikrishna Nakshatri; Rebekah J Addison; Bryce Selman; Sandra K Althouse; Anna Maria V Storniolo
Journal:  Biomark Res       Date:  2022-02-19

Review 5.  Lung Cancer and Immunity Markers.

Authors:  Raymond J Lim; Bin Liu; Kostyantyn Krysan; Steven M Dubinett
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-08-20       Impact factor: 4.254

6.  Fluorescence microscopy tensor imaging representations for large-scale dataset analysis.

Authors:  Claudio Vinegoni; Paolo Fumene Feruglio; Gabriel Courties; Stephen Schmidt; Maarten Hulsmans; Sungon Lee; Rui Wang; David Sosnovik; Matthias Nahrendorf; Ralph Weissleder
Journal:  Sci Rep       Date:  2020-03-27       Impact factor: 4.379

Review 7.  The promises and challenges of early non-small cell lung cancer detection: patient perceptions, low-dose CT screening, bronchoscopy and biomarkers.

Authors:  Lukas Kalinke; Ricky Thakrar; Sam M Janes
Journal:  Mol Oncol       Date:  2020-12-14       Impact factor: 6.603

  7 in total

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