Cancer Genomics Research
Cancer Genomics Research Clinical Cancer Research Cancer Companion Diagnostics NGS in Oncology

Explore cancer research applications

Find resources to customize your research solutions

Male scientist, front side view, inspecting tube with clear liquid in wet lab, other scientist blurry in background, pipettes and plates on lab bench

Cancer applications in action

Advancements in research are driving breakthroughs in cancer. With the high-throughput capabilities of next-generation sequencing (NGS) to rapidly and accurately obtain large volumes of data, scientists are making discoveries to understand how cancers arise, evolve, and respond to treatments. NGS has made countless contributions to cancer research beyond genomic sequencing alone. Today, NGS allows researchers to understand biological events at the transcriptomic, epigenomic, and proteomic levels for novel applications such as single-cell studies, liquid biopsies, immunotherapies, and more.1

Popular cancer research applications

Cancer single-cell analysis

Single-cell sequencing allows researchers to understand drivers of cancer at the DNA, RNA, epigenetic, and protein levels (individually or as multiomic experiments) with single-cell resolution.

Liquid biopsy research

Liquid biopsy involves the analysis of genetic material (eg, cell-free DNA, circulating tumor cells) from bodily fluids (eg, blood, urine) to detect and monitor cancer-related genetic alterations. Liquid biopsies offer a less invasive alternative to traditional tissue biopsies.

Cancer biomarkers

Cancer biomarkers can offer information about cancer activity and risks. NGS can simultaneously profile hundreds of cancer biomarkers, enabling actionable insights for cancer research.

Immuno-oncology research and tumor microenvironments

Immuno-oncology is an emerging field where NGS plays a significant role in analyzing immunotherapy response factors, discovering biomarkers, and applying genomics for personalized immunotherapy. NGS can efficiently assess the tumor microenvironments for immune marker expression in response to tumor growth, treatments, and more while simultaneously profiling thousands of gene expression targets.2-4

Male scientist holding an 8 lane pipette in one hand and a library tube in the other; tubes are filled with clear liquid; lab equipment in the foreground and background.

Cancer research methods

Learn about NGS-based cancer sequencing methods, which provide more information in less time than single-gene and array-based approaches.

Cancer sequencing methods

Cancer Research Methods Guide

Cancer Research Methods Guide

The Cancer Research Methods Guide is a 40+ page resource with simple, comprehensive workflows for a broad range of cancer research applications. This guide includes single-cell sequencing, spatial sequencing, methylation profiling, multiomics, cell-free RNA sequencing, and more.

Cancer research solutions

Sequencing platforms

Explore our line of NGS platforms. View benchtop and production-scale NGS sequencer comparison tables and find tools designed to help you choose the right platform for your needs.

Additional resources

Cancer research overview

On this page, get an overview of cancer research and explore methods for a multiomic approach to study this complex disease.

Redefining NGS in cancer research

In this webinar, experts cover topics in NGS as well as challenges and achievements in cancer research. They also detail how multiomics can be used to improve insights into this complex disease.

Speak to a specialist

Interested in getting more information on cancer sequencing methods?

References

  1. Donoghue MTA, Schram AM, Hyman DM, Taylor BS. Discovery through clinical sequencing in oncology. Nat Cancer. 2020;1(8):774-783. doi:10.1038/s43018-020-0100-0
  2. van Rooij N, van Buuren MM, Philips D, et al. Tumor exome analysis reveals neoantigen-specific T-cell reactivity in an ipilimumab-responsive melanoma. J Clin Oncol. 2013;31(32):e439-e442. doi:10.1200/JCO.2012.47.7521
  3. Calis JJ, Rosenberg BR. Characterizing immune repertoires by high throughput sequencing: strategies and applications. Trends Immunol. 2014;35(12):581-590. doi:10.1016/j. it.2014.09.004
  4. Emerson RO, Sherwood AM, Rieder MJ, et al. High-throughput sequencing of T-cell receptors reveals a homogeneous repertoire of tumour-infiltrating lymphocytes in ovarian cancer. J Pathol. 2013;231(4):433-440. doi:10.1002/path.4260