Clinical application of advanced multi-omics tumor profiling: Shaping precision oncology of the future.

Akhoundova, Dilara; Rubin, Mark A (2022). Clinical application of advanced multi-omics tumor profiling: Shaping precision oncology of the future. Cancer cell, 40(9), pp. 920-938. Cell Press 10.1016/j.ccell.2022.08.011

[img] Text
1-s2.0-S1535610822003750-main.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (3MB) | Request a copy

Next-generation DNA sequencing technology has dramatically advanced clinical oncology through the identification of therapeutic targets and molecular biomarkers, leading to the personalization of cancer treatment with significantly improved outcomes for many common and rare tumor entities. More recent developments in advanced tumor profiling now enable dissection of tumor molecular architecture and the functional phenotype at cellular and subcellular resolution. Clinical translation of high-resolution tumor profiling and integration of multi-omics data into precision treatment, however, pose significant challenges at the level of prospective validation and clinical implementation. In this review, we summarize the latest advances in multi-omics tumor profiling, focusing on spatial genomics and chromatin organization, spatial transcriptomics and proteomics, liquid biopsy, and ex vivo modeling of drug response. We analyze the current stages of translational validation of these technologies and discuss future perspectives for their integration into precision treatment.

Item Type:

Journal Article (Review Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR)
04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Medical Oncology

UniBE Contributor:

Akhoundova Sanoyan, Dilara, Rubin, Mark Andrew

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1535-6108

Publisher:

Cell Press

Language:

English

Submitter:

Pubmed Import

Date Deposited:

05 Sep 2022 14:12

Last Modified:

05 Dec 2022 16:23

Publisher DOI:

10.1016/j.ccell.2022.08.011

PubMed ID:

36055231

Uncontrolled Keywords:

cancer biomarkers ex vivo modeling liquid biopsy precision treatment spatial multi-omics tumor molecular profiling

BORIS DOI:

10.48350/172638

URI:

https://boris.unibe.ch/id/eprint/172638

Actions (login required)

Edit item Edit item
Provide Feedback