Literature DB >> 35330848

Forecasting cancer: from precision to predictive medicine.

Elana J Fertig1,2,3,4,5, Elizabeth M Jaffee1,2,3, Paul Macklin6, Vered Stearns1, Chenguang Wang1,7.   

Abstract

Tumor evolution drives tumor progression, therapeutic resistance, and metastasis. Therefore, new predictive medicine strategies that adapt with a tumor are needed to improve patient outcomes. The techniques used in weather prediction are mathematically proven to enable prediction of evolving systems, and thus provide a framework for a new predictive medicine paradigm for cancer.

Entities:  

Mesh：

Year:  2021        PMID： 35330848      PMCID： PMC8942083          DOI： 10.1016/j.medj.2021.08.007

Source DB:  PubMed          Journal:  Med (N Y)        ISSN： 2666-6340


  15 in total

Review 1.  Artificial intelligence in drug development: present status and future prospects.

Authors:  Kit-Kay Mak; Mallikarjuna Rao Pichika
Journal:  Drug Discov Today       Date:  2018-11-22       Impact factor: 7.851

Review 2.  Artificial Intelligence for Clinical Trial Design.

Authors:  Stefan Harrer; Pratik Shah; Bhavna Antony; Jianying Hu
Journal:  Trends Pharmacol Sci       Date:  2019-07-17       Impact factor: 14.819

3.  Effect of Pembrolizumab Plus Neoadjuvant Chemotherapy on Pathologic Complete Response in Women With Early-Stage Breast Cancer: An Analysis of the Ongoing Phase 2 Adaptively Randomized I-SPY2 Trial.

Authors:  Rita Nanda; Minetta C Liu; Christina Yau; Rebecca Shatsky; Lajos Pusztai; Anne Wallace; A Jo Chien; Andres Forero-Torres; Erin Ellis; Heather Han; Amy Clark; Kathy Albain; Judy C Boughey; Nora T Jaskowiak; Anthony Elias; Claudine Isaacs; Kathleen Kemmer; Teresa Helsten; Melanie Majure; Erica Stringer-Reasor; Catherine Parker; Marie C Lee; Tufia Haddad; Ronald N Cohen; Smita Asare; Amy Wilson; Gillian L Hirst; Ruby Singhrao; Katherine Steeg; Adam Asare; Jeffrey B Matthews; Scott Berry; Ashish Sanil; Richard Schwab; W Fraser Symmans; Laura van 't Veer; Douglas Yee; Angela DeMichele; Nola M Hylton; Michelle Melisko; Jane Perlmutter; Hope S Rugo; Donald A Berry; Laura J Esserman
Journal:  JAMA Oncol       Date:  2020-05-01       Impact factor: 31.777

4.  Transfer learning between preclinical models and human tumors identifies a conserved NK cell activation signature in anti-CTLA-4 responsive tumors.

Authors:  Emily F Davis-Marcisak; Allison A Fitzgerald; Michael D Kessler; Ludmila Danilova; Elizabeth M Jaffee; Neeha Zaidi; Louis M Weiner; Elana J Fertig
Journal:  Genome Med       Date:  2021-08-11       Impact factor: 15.266

5.  Accurate state estimation from uncertain data and models: an application of data assimilation to mathematical models of human brain tumors.

Authors:  Eric J Kostelich; Yang Kuang; Joshua M McDaniel; Nina Z Moore; Nikolay L Martirosyan; Mark C Preul
Journal:  Biol Direct       Date:  2011-12-21       Impact factor: 4.540

6.  Mathematical Models of Cancer: When to Predict Novel Therapies, and When Not to.

Authors:  Renee Brady; Heiko Enderling
Journal:  Bull Math Biol       Date:  2019-07-23       Impact factor: 1.758

7.  Integrating transcriptomics and bulk time course data into a mathematical framework to describe and predict therapeutic resistance in cancer.

Authors:  Kaitlyn E Johnson; Grant R Howard; Daylin Morgan; Eric A Brenner; Andrea L Gardner; Russell E Durrett; William Mo; Aziz Al'Khafaji; Eduardo D Sontag; Angela M Jarrett; Thomas E Yankeelov; Amy Brock
Journal:  Phys Biol       Date:  2020-11-20       Impact factor: 2.583

Review 8.  The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution.

Authors:  Orit Rozenblatt-Rosen; Aviv Regev; Philipp Oberdoerffer; Tal Nawy; Anna Hupalowska; Jennifer E Rood; Orr Ashenberg; Ethan Cerami; Robert J Coffey; Emek Demir; Li Ding; Edward D Esplin; James M Ford; Jeremy Goecks; Sharmistha Ghosh; Joe W Gray; Justin Guinney; Sean E Hanlon; Shannon K Hughes; E Shelley Hwang; Christine A Iacobuzio-Donahue; Judit Jané-Valbuena; Bruce E Johnson; Ken S Lau; Tracy Lively; Sarah A Mazzilli; Dana Pe'er; Sandro Santagata; Alex K Shalek; Denis Schapiro; Michael P Snyder; Peter K Sorger; Avrum E Spira; Sudhir Srivastava; Kai Tan; Robert B West; Elizabeth H Williams
Journal:  Cell       Date:  2020-04-16       Impact factor: 66.850

9.  PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems.

Authors:  Ahmadreza Ghaffarizadeh; Randy Heiland; Samuel H Friedman; Shannon M Mumenthaler; Paul Macklin
Journal:  PLoS Comput Biol       Date:  2018-02-23       Impact factor: 4.475

Review 10.  Enter the Matrix: Factorization Uncovers Knowledge from Omics.

Authors:  Genevieve L Stein-O'Brien; Raman Arora; Aedin C Culhane; Alexander V Favorov; Lana X Garmire; Casey S Greene; Loyal A Goff; Yifeng Li; Aloune Ngom; Michael F Ochs; Yanxun Xu; Elana J Fertig
Journal:  Trends Genet       Date:  2018-08-22       Impact factor: 11.639
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