Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 626

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

The emerging clinical relevance of genomics in cancer medicine

Open access
Berger, Michael F., Mardis, Elaine R.·2018·Nature Reviews Clinical Oncology

Abstract

The combination of next-generation sequencing and advanced computational data analysis approaches has revolutionized our understanding of the genomic underpinnings of cancer development and progression. The coincident development of targeted small molecule and antibody-based therapies that target a cancer’s genomic dependencies has fuelled the transition of genomic assays into clinical use in patients with cancer. Beyond the identification of individual targetable alterations, genomic methods can gauge mutational load, which might predict a therapeutic response to immune-checkpoint inhibitors or identify cancer-specific proteins that inform the design of personalized anticancer vaccines. Emerging clinical applications of cancer genomics include monitoring treatment responses and characterizing mechanisms of resistance. The increasing relevance of genomics to clinical cancer care also highlights several considerable challenges, including the need to promote equal access to genomic testing.Developments in genomic sequencing technologies have enabled increasing amounts of information on the genomes of individual cancers to be revealed. At the same time, increasing numbers of therapies targeting specific genomic alterations are being made available, necessitating the use of genomics to diagnose and treat patients with cancer. In this Review, the authors describe the emerging clinical relevance of genomics in oncology, in addition to the many challenges that currently preclude routine clinical use.Key pointsGenomic assays that enable the characterization of the somatic and germline defects in individual tumour samples are increasingly being used in clinical diagnostics as a means of identifying therapeutic options.Many technical and cost-associated considerations have a role in decision-making processes regarding the implementation of cancer genomics assays into clinical practice.Genomic methods can reveal individual targetable alterations, mutational load, complex mutation signatures, and tumour-specific antigens, which might inform the utilization of targeted therapies, immune-checkpoint inhibitors, and personalized anticancer vaccines.The occurrence of shared targetable alterations across diverse tumour types has prompted new paradigms in the application of genomic profiling and the design of clinical trials.These assays increasingly provide information that is pertinent to clinical cancer care, although several important attendant challenges surround their implementation.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41571-018-0002-6

Cites

38 of 38 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 38 references

Cited by

See all 626

Metadata

Authors
Berger, M. F., & Mardis, E. R.
Venue
Nature Reviews Clinical Oncology
Published
2018-03-29
Volume
15
Issue
6
Pages
353-365
ISSN
  • 1759-4774 (ISSN-L)
  • 1759-4782
OpenAlex
W2794820058
Cited by
626
References
38
FWCI
4.90
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The emerging clinical relevance of genomics in cancer medicine. https://app.cochat.ai/papers/10.1038/s41571-018-0002-6
The paper
Berger, M. F., & Mardis, E. R. (2018). The emerging clinical relevance of genomics in cancer medicine. Nature Reviews Clinical Oncology. https://doi.org/10.1038/s41571-018-0002-6

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.