Literature DB >> 33811123

Artificial Intelligence in Cancer Research and Precision Medicine.

Bhavneet Bhinder1,2, Coryandar Gilvary3, Neel S Madhukar3, Olivier Elemento4,2,3.   

Abstract

Artificial intelligence (AI) is rapidly reshaping cancer research and personalized clinical care. Availability of high-dimensionality datasets coupled with advances in high-performance computing, as well as innovative deep learning architectures, has led to an explosion of AI use in various aspects of oncology research. These applications range from detection and classification of cancer, to molecular characterization of tumors and their microenvironment, to drug discovery and repurposing, to predicting treatment outcomes for patients. As these advances start penetrating the clinic, we foresee a shifting paradigm in cancer care becoming strongly driven by AI. SIGNIFICANCE: AI has the potential to dramatically affect nearly all aspects of oncology-from enhancing diagnosis to personalizing treatment and discovering novel anticancer drugs. Here, we review the recent enormous progress in the application of AI to oncology, highlight limitations and pitfalls, and chart a path for adoption of AI in the cancer clinic. ©2021 American Association for Cancer Research.

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Year:  2021        PMID: 33811123      PMCID: PMC8034385          DOI: 10.1158/2159-8290.CD-21-0090

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   38.272


  118 in total

1.  MSI-H: a truly agnostic biomarker?

Authors:  Peter Sidaway
Journal:  Nat Rev Clin Oncol       Date:  2020-02       Impact factor: 66.675

2.  Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study.

Authors:  Rikiya Yamashita; Jin Long; Teri Longacre; Lan Peng; Gerald Berry; Brock Martin; John Higgins; Daniel L Rubin; Jeanne Shen
Journal:  Lancet Oncol       Date:  2021-01       Impact factor: 41.316

3.  Atypical patterns of response and progression in the era of immunotherapy combinations.

Authors:  Roberto Ferrara; Ignacio Matos
Journal:  Future Oncol       Date:  2020-07-20       Impact factor: 3.404

4.  PREDICT: a method for inferring novel drug indications with application to personalized medicine.

Authors:  Assaf Gottlieb; Gideon Y Stein; Eytan Ruppin; Roded Sharan
Journal:  Mol Syst Biol       Date:  2011-06-07       Impact factor: 11.429

5.  The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Authors:  Jordi Barretina; Giordano Caponigro; Nicolas Stransky; Kavitha Venkatesan; Adam A Margolin; Sungjoon Kim; Christopher J Wilson; Joseph Lehár; Gregory V Kryukov; Dmitriy Sonkin; Anupama Reddy; Manway Liu; Lauren Murray; Michael F Berger; John E Monahan; Paula Morais; Jodi Meltzer; Adam Korejwa; Judit Jané-Valbuena; Felipa A Mapa; Joseph Thibault; Eva Bric-Furlong; Pichai Raman; Aaron Shipway; Ingo H Engels; Jill Cheng; Guoying K Yu; Jianjun Yu; Peter Aspesi; Melanie de Silva; Kalpana Jagtap; Michael D Jones; Li Wang; Charles Hatton; Emanuele Palescandolo; Supriya Gupta; Scott Mahan; Carrie Sougnez; Robert C Onofrio; Ted Liefeld; Laura MacConaill; Wendy Winckler; Michael Reich; Nanxin Li; Jill P Mesirov; Stacey B Gabriel; Gad Getz; Kristin Ardlie; Vivien Chan; Vic E Myer; Barbara L Weber; Jeff Porter; Markus Warmuth; Peter Finan; Jennifer L Harris; Matthew Meyerson; Todd R Golub; Michael P Morrissey; William R Sellers; Robert Schlegel; Levi A Garraway
Journal:  Nature       Date:  2012-03-28       Impact factor: 49.962

Review 6.  Development of tumor mutation burden as an immunotherapy biomarker: utility for the oncology clinic.

Authors:  T A Chan; M Yarchoan; E Jaffee; C Swanton; S A Quezada; A Stenzinger; S Peters
Journal:  Ann Oncol       Date:  2019-01-01       Impact factor: 32.976

7.  Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning.

Authors:  Nicolas Coudray; Paolo Santiago Ocampo; Theodore Sakellaropoulos; Navneet Narula; Matija Snuderl; David Fenyö; Andre L Moreira; Narges Razavian; Aristotelis Tsirigos
Journal:  Nat Med       Date:  2018-09-17       Impact factor: 53.440

8.  The Human Cell Atlas.

Authors:  Aviv Regev; Sarah A Teichmann; Eric S Lander; Ido Amit; Christophe Benoist; Ewan Birney; Bernd Bodenmiller; Peter Campbell; Piero Carninci; Menna Clatworthy; Hans Clevers; Bart Deplancke; Ian Dunham; James Eberwine; Roland Eils; Wolfgang Enard; Andrew Farmer; Lars Fugger; Berthold Göttgens; Nir Hacohen; Muzlifah Haniffa; Martin Hemberg; Seung Kim; Paul Klenerman; Arnold Kriegstein; Ed Lein; Sten Linnarsson; Emma Lundberg; Joakim Lundeberg; Partha Majumder; John C Marioni; Miriam Merad; Musa Mhlanga; Martijn Nawijn; Mihai Netea; Garry Nolan; Dana Pe'er; Anthony Phillipakis; Chris P Ponting; Stephen Quake; Wolf Reik; Orit Rozenblatt-Rosen; Joshua Sanes; Rahul Satija; Ton N Schumacher; Alex Shalek; Ehud Shapiro; Padmanee Sharma; Jay W Shin; Oliver Stegle; Michael Stratton; Michael J T Stubbington; Fabian J Theis; Matthias Uhlen; Alexander van Oudenaarden; Allon Wagner; Fiona Watt; Jonathan Weissman; Barbara Wold; Ramnik Xavier; Nir Yosef
Journal:  Elife       Date:  2017-12-05       Impact factor: 8.140

9.  Predicting drug response of tumors from integrated genomic profiles by deep neural networks.

Authors:  Yu-Chiao Chiu; Hung-I Harry Chen; Tinghe Zhang; Songyao Zhang; Aparna Gorthi; Li-Ju Wang; Yufei Huang; Yidong Chen
Journal:  BMC Med Genomics       Date:  2019-01-31       Impact factor: 3.063

10.  Identification of 12 cancer types through genome deep learning.

Authors:  Yingshuai Sun; Sitao Zhu; Kailong Ma; Weiqing Liu; Yao Yue; Gang Hu; Huifang Lu; Wenbin Chen
Journal:  Sci Rep       Date:  2019-11-21       Impact factor: 4.379

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  14 in total

Review 1.  A critical review of datasets and computational suites for improving cancer theranostics and biomarker discovery.

Authors:  Gayathri Ashok; Sudha Ramaiah
Journal:  Med Oncol       Date:  2022-09-29       Impact factor: 3.738

Review 2.  Next-generation sequencing: unraveling genetic mechanisms that shape cancer immunotherapy efficacy.

Authors:  Ahmed Halima; Winston Vuong; Timothy A Chan
Journal:  J Clin Invest       Date:  2022-06-15       Impact factor: 19.456

Review 3.  Targeting Cell Cycle Progression in HER2+ Breast Cancer: An Emerging Treatment Opportunity.

Authors:  Nischal Koirala; Nandini Dey; Jennifer Aske; Pradip De
Journal:  Int J Mol Sci       Date:  2022-06-11       Impact factor: 6.208

4.  Understanding Drug Sensitivity and Tackling Resistance in Cancer.

Authors:  Jeffrey W Tyner; Franziska Haderk; Anbarasu Kumaraswamy; Linda B Baughn; Brian Van Ness; Song Liu; Himangi Marathe; Joshi J Alumkal; Trever G Bivona; Keith Syson Chan; Brian J Druker; Alan D Hutson; Peter S Nelson; Charles L Sawyers; Christopher D Willey
Journal:  Cancer Res       Date:  2022-04-15       Impact factor: 13.312

Review 5.  Harnessing multimodal data integration to advance precision oncology.

Authors:  Kevin M Boehm; Pegah Khosravi; Rami Vanguri; Jianjiong Gao; Sohrab P Shah
Journal:  Nat Rev Cancer       Date:  2021-10-18       Impact factor: 69.800

Review 6.  Artificial intelligence in oncology: current applications and future perspectives.

Authors:  Claudio Luchini; Antonio Pea; Aldo Scarpa
Journal:  Br J Cancer       Date:  2021-11-26       Impact factor: 7.640

Review 7.  Liquid Biopsy and Artificial Intelligence as Tools to Detect Signatures of Colorectal Malignancies: A Modern Approach in Patient's Stratification.

Authors:  Octav Ginghina; Ariana Hudita; Marius Zamfir; Andrada Spanu; Mara Mardare; Irina Bondoc; Laura Buburuzan; Sergiu Emil Georgescu; Marieta Costache; Carolina Negrei; Cornelia Nitipir; Bianca Galateanu
Journal:  Front Oncol       Date:  2022-03-08       Impact factor: 6.244

8.  Radiogenomics analysis reveals the associations of dynamic contrast-enhanced-MRI features with gene expression characteristics, PAM50 subtypes, and prognosis of breast cancer.

Authors:  Wenlong Ming; Yanhui Zhu; Yunfei Bai; Wanjun Gu; Fuyu Li; Zixi Hu; Tiansong Xia; Zuolei Dai; Xiafei Yu; Huamei Li; Yu Gu; Shaoxun Yuan; Rongxin Zhang; Haitao Li; Wenyong Zhu; Jianing Ding; Xiao Sun; Yun Liu; Hongde Liu; Xiaoan Liu
Journal:  Front Oncol       Date:  2022-07-28       Impact factor: 5.738

Review 9.  Preclinical models as patients' avatars for precision medicine in colorectal cancer: past and future challenges.

Authors:  Erika Durinikova; Kristi Buzo; Sabrina Arena
Journal:  J Exp Clin Cancer Res       Date:  2021-06-05

Review 10.  Can Systems Biology Advance Clinical Precision Oncology?

Authors:  Andrea Rocca; Boris N Kholodenko
Journal:  Cancers (Basel)       Date:  2021-12-16       Impact factor: 6.575

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