Literature DB >> 30827078

Histo-genomics: digital pathology at the forefront of precision medicine.

Ivraym Barsoum1, Eriny Tawedrous2, Hala Faragalla3, George M Yousef2,3,4.   

Abstract

The toughest challenge OMICs face is that they provide extremely high molecular resolution but poor spatial information. Understanding the cellular/histological context of the overwhelming genetic data is critical for a full understanding of the clinical behavior of a malignant tumor. Digital pathology can add an extra layer of information to help visualize in a spatial and microenvironmental context the molecular information of cancer. Thus, histo-genomics provide a unique chance for data integration. In the era of a precision medicine, a four-dimensional (4D) (temporal/spatial) analysis of cancer aided by digital pathology can be a critical step to understand the evolution/progression of different cancers and consequently tailor individual treatment plans. For instance, the integration of molecular biomarkers expression into a three-dimensional (3D) image of a digitally scanned tumor can offer a better understanding of its subtype, behavior, host immune response and prognosis. Using advanced digital image analysis, a larger spectrum of parameters can be analyzed as potential predictors of clinical behavior. Correlation between morphological features and host immune response can be also performed with therapeutic implications. Radio-histomics, or the interface of radiological images and histology is another emerging exciting field which encompasses the integration of radiological imaging with digital pathological images, genomics, and clinical data to portray a more holistic approach to understating and treating disease. These advances in digital slide scanning are not without technical challenges, which will be addressed carefully in this review with quick peek at its future.

Entities:  

Keywords:  digital pathology; image analysis; omics; pathology informatics; precision medicine; virtual slides

Mesh:

Year:  2019        PMID: 30827078     DOI: 10.1515/dx-2018-0064

Source DB:  PubMed          Journal:  Diagnosis (Berl)        ISSN: 2194-802X


  8 in total

1.  The Porto European Cancer Research Summit 2021.

Authors:  Ulrik Ringborg; Anton Berns; Julio E Celis; Manuel Heitor; Josep Tabernero; Joachim Schüz; Michael Baumann; Rui Henrique; Matti Aapro; Partha Basu; Regina Beets-Tan; Benjamin Besse; Fátima Cardoso; Fátima Carneiro; Guy van den Eede; Alexander Eggermont; Stefan Fröhling; Susan Galbraith; Elena Garralda; Douglas Hanahan; Thomas Hofmarcher; Bengt Jönsson; Olli Kallioniemi; Miklós Kásler; Eva Kondorosi; Jan Korbel; Denis Lacombe; José Carlos Machado; José M Martin-Moreno; Francoise Meunier; Péter Nagy; Paolo Nuciforo; Simon Oberst; Júlio Oliveiera; Maria Papatriantafyllou; Walter Ricciardi; Alexander Roediger; Bettina Ryll; Richard Schilsky; Grazia Scocca; Raquel Seruca; Marta Soares; Karen Steindorf; Vincenzo Valentini; Emile Voest; Elisabete Weiderpass; Nils Wilking; Amanda Wren; Laurence Zitvogel
Journal:  Mol Oncol       Date:  2021-09-13       Impact factor: 6.603

Review 2.  The state of the art for artificial intelligence in lung digital pathology.

Authors:  Vidya Sankar Viswanathan; Paula Toro; Germán Corredor; Sanjay Mukhopadhyay; Anant Madabhushi
Journal:  J Pathol       Date:  2022-06-20       Impact factor: 9.883

Review 3.  Artificial intelligence in digital pathology - new tools for diagnosis and precision oncology.

Authors:  Kaustav Bera; Kurt A Schalper; David L Rimm; Vamsidhar Velcheti; Anant Madabhushi
Journal:  Nat Rev Clin Oncol       Date:  2019-08-09       Impact factor: 66.675

4.  Spatial transcriptomics using combinatorial fluorescence spectral and lifetime encoding, imaging and analysis.

Authors:  Tam Vu; Alexander Vallmitjana; Joshua Gu; Kieu La; Qi Xu; Jesus Flores; Jan Zimak; Jessica Shiu; Linzi Hosohama; Jie Wu; Christopher Douglas; Marian L Waterman; Anand Ganesan; Per Niklas Hedde; Enrico Gratton; Weian Zhao
Journal:  Nat Commun       Date:  2022-01-10       Impact factor: 14.919

Review 5.  Digital pathology and artificial intelligence in translational medicine and clinical practice.

Authors:  Vipul Baxi; Robin Edwards; Michael Montalto; Saurabh Saha
Journal:  Mod Pathol       Date:  2021-10-05       Impact factor: 7.842

6.  Integrating pathomics with radiomics and genomics for cancer prognosis: A brief review.

Authors:  Cheng Lu; Rakesh Shiradkar; Zaiyi Liu
Journal:  Chin J Cancer Res       Date:  2021-10-31       Impact factor: 4.026

Review 7.  Artificial intelligence driven next-generation renal histomorphometry.

Authors:  Briana A Santo; Avi Z Rosenberg; Pinaki Sarder
Journal:  Curr Opin Nephrol Hypertens       Date:  2020-05       Impact factor: 3.416

Review 8.  Translational Research in the Era of Precision Medicine: Where We Are and Where We Will Go.

Authors:  Ruggero De Maria Marchiano; Gabriele Di Sante; Geny Piro; Carmine Carbone; Giampaolo Tortora; Luca Boldrini; Antonella Pietragalla; Gennaro Daniele; Maria Tredicine; Alfredo Cesario; Vincenzo Valentini; Daniela Gallo; Gabriele Babini; Marika D'Oria; Giovanni Scambia
Journal:  J Pers Med       Date:  2021-03-18
  8 in total

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