Literature DB >> 29162615

Precision Oncology: Between Vaguely Right and Precisely Wrong.

Amy Brock1, Sui Huang2.   

Abstract

Precision Oncology seeks to identify and target the mutation that drives a tumor. Despite its straightforward rationale, concerns about its effectiveness are mounting. What is the biological explanation for the "imprecision?" First, Precision Oncology relies on indiscriminate sequencing of genomes in biopsies that barely represent the heterogeneous mix of tumor cells. Second, findings that defy the orthodoxy of oncogenic "driver mutations" are now accumulating: the ubiquitous presence of oncogenic mutations in silent premalignancies or the dynamic switching without mutations between various cell phenotypes that promote progression. Most troublesome is the observation that cancer cells that survive treatment still will have suffered cytotoxic stress and thereby enter a stem cell-like state, the seeds for recurrence. The benefit of "precision targeting" of mutations is inherently limited by this counterproductive effect. These findings confirm that there is no precise linear causal relationship between tumor genotype and phenotype, a reminder of logician Carveth Read's caution that being vaguely right may be preferable to being precisely wrong. An open-minded embrace of the latest inconvenient findings indicating nongenetic and "imprecise" phenotype dynamics of tumors as summarized in this review will be paramount if Precision Oncology is ultimately to lead to clinical benefits. Cancer Res; 77(23); 6473-9. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 29162615     DOI: 10.1158/0008-5472.CAN-17-0448

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  20 in total

Review 1.  Cell-state dynamics and therapeutic resistance in melanoma from the perspective of MITF and IFNγ pathways.

Authors:  Xue Bai; David E Fisher; Keith T Flaherty
Journal:  Nat Rev Clin Oncol       Date:  2019-09       Impact factor: 66.675

Review 2.  Drug Repurposing by Tumor Tissue Editing.

Authors:  Florian Lüke; Dennis Christoph Harrer; Pan Pantziarka; Tobias Pukrop; Lina Ghibelli; Christopher Gerner; Albrecht Reichle; Daniel Heudobler
Journal:  Front Oncol       Date:  2022-06-24       Impact factor: 5.738

3.  Lessons learned: the first consecutive 1000 patients of the CCCMunichLMU Molecular Tumor Board.

Authors:  Kathrin Heinrich; Lisa Miller-Phillips; Frank Ziemann; Korbinian Hasselmann; Katharina Rühlmann; Madeleine Flach; Dorottya Biro; Michael von Bergwelt-Baildon; Julian Holch; Tobias Herold; Louisa von Baumgarten; Philipp A Greif; Irmela Jeremias; Rachel Wuerstlein; Jozefina Casuscelli; Christine Spitzweg; Max Seidensticker; Bernhard Renz; Stefanie Corradini; Philipp Baumeister; Elisabetta Goni; Amanda Tufman; Andreas Jung; Jörg Kumbrink; Thomas Kirchner; Frederick Klauschen; Klaus H Metzeler; Volker Heinemann; C Benedikt Westphalen
Journal:  J Cancer Res Clin Oncol       Date:  2022-07-07       Impact factor: 4.322

4.  PAGE4 and Conformational Switching: Insights from Molecular Dynamics Simulations and Implications for Prostate Cancer.

Authors:  Xingcheng Lin; Susmita Roy; Mohit Kumar Jolly; Federico Bocci; Nicholas P Schafer; Min-Yeh Tsai; Yihong Chen; Yanan He; Alexander Grishaev; Keith Weninger; John Orban; Prakash Kulkarni; Govindan Rangarajan; Herbert Levine; José N Onuchic
Journal:  J Mol Biol       Date:  2018-06-05       Impact factor: 5.469

Review 5.  Phenotypic Plasticity, Bet-Hedging, and Androgen Independence in Prostate Cancer: Role of Non-Genetic Heterogeneity.

Authors:  Mohit Kumar Jolly; Prakash Kulkarni; Keith Weninger; John Orban; Herbert Levine
Journal:  Front Oncol       Date:  2018-03-06       Impact factor: 6.244

6.  Biobanks and scientists: supply and demand.

Authors:  Angelo Virgilio Paradiso; Maria Grazia Daidone; Vincenzo Canzonieri; Alfredo Zito
Journal:  J Transl Med       Date:  2018-05-22       Impact factor: 5.531

7.  A multi-state model of chemoresistance to characterize phenotypic dynamics in breast cancer.

Authors:  Grant R Howard; Kaitlyn E Johnson; Areli Rodriguez Ayala; Thomas E Yankeelov; Amy Brock
Journal:  Sci Rep       Date:  2018-08-13       Impact factor: 4.379

8.  RNA sequencing of long-term label-retaining colon cancer stem cells identifies novel regulators of quiescence.

Authors:  Joseph L Regan; Dirk Schumacher; Stephanie Staudte; Andreas Steffen; Ralf Lesche; Joern Toedling; Thibaud Jourdan; Johannes Haybaeck; Dominik Mumberg; David Henderson; Balázs Győrffy; Christian R A Regenbrecht; Ulrich Keilholz; Reinhold Schäfer; Martin Lange
Journal:  iScience       Date:  2021-05-24

Review 9.  Multi-Omics Profiling of the Tumor Microenvironment: Paving the Way to Precision Immuno-Oncology.

Authors:  Francesca Finotello; Federica Eduati
Journal:  Front Oncol       Date:  2018-10-05       Impact factor: 5.738

10.  Strategies of the War on Cancer: To Kill or to Neutralize?

Authors:  Anatoly V Lichtenstein
Journal:  Front Oncol       Date:  2019-01-10       Impact factor: 6.244

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