Literature DB >> 30410101

Current and future perspectives of liquid biopsies in genomics-driven oncology.

Ellen Heitzer1,2,3, Imran S Haque4, Charles E S Roberts4, Michael R Speicher5,6.   

Abstract

Precision oncology seeks to leverage molecular information about cancer to improve patient outcomes. Tissue biopsy samples are widely used to characterize tumours but are limited by constraints on sampling frequency and their incomplete representation of the entire tumour bulk. Now, attention is turning to minimally invasive liquid biopsies, which enable analysis of tumour components (including circulating tumour cells and circulating tumour DNA) in bodily fluids such as blood. The potential of liquid biopsies is highlighted by studies that show they can track the evolutionary dynamics and heterogeneity of tumours and can detect very early emergence of therapy resistance, residual disease and recurrence. However, the analytical validity and clinical utility of liquid biopsies must be rigorously demonstrated before this potential can be realized.

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Year:  2019        PMID: 30410101     DOI: 10.1038/s41576-018-0071-5

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  268 in total

1.  Circulating Tumor Cells: Come Together, Right Now, Over Metastasis.

Authors:  Paulo Rodrigues; Sakari Vanharanta
Journal:  Cancer Discov       Date:  2019-01       Impact factor: 39.397

2.  Prognostic value of HER2 status on circulating tumor cells in advanced-stage breast cancer patients with HER2-negative tumors.

Authors:  Chun Wang; Zhaomei Mu; Zhong Ye; Zhenchao Zhang; Maysa M Abu-Khalaf; Daniel P Silver; Juan P Palazzo; Geetha Jagannathan; Frederick M Fellin; Saveri Bhattacharya; Rebecca J Jaslow; Theodore N Tsangaris; Adam Berger; Manish Neupane; Terrence P Cescon; AnaMaria Lopez; Kaelan Yao; Weelic Chong; Brian Lu; Ronald E Myers; Lifang Hou; Qiang Wei; Bingshan Li; Massimo Cristofanilli; Hushan Yang
Journal:  Breast Cancer Res Treat       Date:  2020-05-04       Impact factor: 4.872

Review 3.  Detection of Solid Tumor Molecular Residual Disease (MRD) Using Circulating Tumor DNA (ctDNA).

Authors:  Re-I Chin; Kevin Chen; Abul Usmani; Chanelle Chua; Peter K Harris; Michael S Binkley; Tej D Azad; Jonathan C Dudley; Aadel A Chaudhuri
Journal:  Mol Diagn Ther       Date:  2019-06       Impact factor: 4.074

4.  Assessment of Cell-Free microRNA by NGS Whole-Transcriptome Analysis in Cutaneous Melanoma Patients' Blood.

Authors:  Kevin D Tran; Rebecca Gross; Negin Rahimzadeh; Shanthy Chenathukattil; Dave S B Hoon; Matias A Bustos
Journal:  Methods Mol Biol       Date:  2021

5.  Isolation and Quantification of Plasma Circulating Tumor DNA from Melanoma Patients.

Authors:  Gabriela Marsavela; Anna Reid; Elin S Gray; Leslie Calapre
Journal:  Methods Mol Biol       Date:  2021

6.  An ultrasensitive test for profiling circulating tumor DNA using integrated comprehensive droplet digital detection.

Authors:  Chen-Yin Ou; Tam Vu; Jonathan T Grunwald; Michael Toledano; Jan Zimak; Melody Toosky; Byron Shen; Jason A Zell; Enrico Gratton; Timothy J Abram; Weian Zhao
Journal:  Lab Chip       Date:  2019-03-13       Impact factor: 6.799

Review 7.  The changing landscape of cancer in the USA - opportunities for advancing prevention and treatment.

Authors:  Farhad Islami; Rebecca L Siegel; Ahmedin Jemal
Journal:  Nat Rev Clin Oncol       Date:  2020-05-28       Impact factor: 66.675

8.  State of the Science and Future Directions for Liquid Biopsies in Drug Development.

Authors:  Preeti Narayan; Soma Ghosh; Reena Philip; J Carl Barrett; Robert T McCormack; Justin I Odegaard; Geoffrey R Oxnard; Laurel J Pracht; P Mickey Williams; Gary J Kelloff; Julia A Beaver
Journal:  Oncologist       Date:  2020-06-29

Review 9.  How Machine Learning Will Transform Biomedicine.

Authors:  Jeremy Goecks; Vahid Jalili; Laura M Heiser; Joe W Gray
Journal:  Cell       Date:  2020-04-02       Impact factor: 41.582

10.  Next generation sequencing of glioblastoma circulating tumor cells: non-invasive solution for disease monitoring.

Authors:  Katarina Kolostova; Eliska Pospisilova; Vladimira Pavlickova; Robert Bartos; Martin Sames; Ireneusz Pawlak; Vladimir Bobek
Journal:  Am J Transl Res       Date:  2021-05-15       Impact factor: 4.060

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