TruSight Oncology 500 clinical research solutions

Take cancer from uncertainty to insight

Enable comprehensive genomic profiling from tissue or liquid biopsies for clinical research

Profile image of a female scientist using a single pipette into a tube, two boxes of TruSight Oncology ctDNA v2 Enrichment library prep boxes on the lab bench with other NovaSeq X consumables; two scientists and a NovaSeq X instrument are blurry in the background.

Three assays to fuel precision oncology research

The TruSight Oncology 500 product line offers pan-cancer next-generation sequencing assays to enable in-house comprehensive genomic profiling (CGP). Identify relevant biomarkers from key guidelines and clinical trials with one consolidated assay to get more results with less sample than iterative testing. 

TruSight Oncology 500 products

TruSight Oncology 500

Enable CGP with a large pan-cancer panel covering all major variant classes plus gene signatures (TMB, MSI, and HRD) from FFPE tissue.

TruSight Oncology 500 High-Throughput

Enable CGP with a large pan-cancer panel covering all major variant classes plus gene signatures (TMB, MSI) from FFPE tissue, with added scalability.

TruSight Oncology 500 ctDNA v2

Enable CGP with a pan-cancer panel capable of detecting key IO gene signatures (TMB, MSI) plus all main variant classes from ctDNA in blood plasma.

Key features and benefits

Comprehensive

Assess > 500 pan-cancer biomarkers in a single multiplex assay, including broad genomic signatures like TMB, MSI and HRD* to increase the likelihood of identifying a relevant mutation without sequential testing.

Flexibility

Use FFPE samples or minimally invasive circulating tumor DNA (ctDNA) from liquid biopsy to complement tissue studies or if sufficient tissue is not readily available.

Reliability

Achieve consistent quality across the portfolio with robust hybrid capture chemistry, proven SBS sequencing and sophisticated bioinformatics.

In-house

Offer precision oncology in your lab to minimize sample loss, control turnaround times, monitor quality, and retain data for reanalysis as discoveries are made.

Timely

Obtain results in < 5 days with integrated library prep, sequencing, and bioinformatics options available locally or in the cloud.

Scalable

Reduce hands-on time and minimize errors with automation options. Sequence 8–192 samples per run for TruSight Oncology and TruSight Oncology High-Throughput and 8–48 samples per run for TruSight Oncology 500 ctDNA.

Key biomarkers

Subset of genomic tumor profiling biomarkers for multiple cancer typesa

Pan-cancer: BRAF NTRK1 NTRK2 NTRK3 RET MSI TMB

Genes with biomarkers of significanceb Genes with biomarkers of
potential significancec
  Breast BRCA1 BRCA2 ERBB2 ESR1 PALB2 PIK3CA 180
  Colorectal ERBB2 KRAS NRAS       166
  Bone EGFR ERG ETV1 ETV4 EWSR1 FEV 140
FLI1 FUS H3F3A HEY1 IGH1 MDM2
ERBB2 NCOA2 SMARCB1      
  Lung ALK EGFR ERBB2 KRAS MET NUTM1 223
ROS1          
  Melanoma KIT NRAS ROS1       172
  Ovarian BRCA1 BRCA2 FOXL2       149
  CNSd APC ATRX CDKN2A CDKN2B EGFR H3F3A 140
HIST1H3B HIST1H3C IDH1 IDH2 MYCN PTCH1
RELA TERT TP53      
  Prostate AR ATM BARD1 BRCA1 BRCA2 BRIP1 151
CDK12 CHEK1 CHEK2 FANCL FGFR2 FGFR3
PALB2 RAD51B RAD51C RAD51D RAD54L  
  Thyroid HRAS KRAS NRAS RET TERT   165
  Uterine & cervical BRCA2 EPC1 ERBB2 ESR1 FOXO1 GREB1 138
JAZF1 NCOA2 NCOA3 NUTM2A NUTM2B PAX3
PAX7 PHF1 POLE SMARCA4 SUZ12 TP53
YWHAE          
  Other solid tumors ALK APC ARID1A ASPSCR1 ATF1 ATIC 152
BAP1 BCOR BRCA1 BRCA2 CAMTA1 CARS
CCNB2 CDK4 CDKN2A CIC CITED2 CLTC
COL1A1 COL6A3 CREB1 CREB3L1 CREB3L2 CSF1
CTNNB1 DDIT3 DDX3X DNAJB1 DUX4 EED
EGFR ERBB2 ERG ETV1 ETV4 ETV6
EWSR1 FEV FGFR2 FGFR3 FLI1 FOXL2
FOXO1 FOXO4 FUS GLI1 HEY1 HGF
HMGA2 IDH1 KRAS LEUTX MAML3 MDM2
MYB MYOD1 NAB2 NCOA2 NF1 NFATC2
NFIB NR4A3 NRAS NUTMI NUTM2A NUTM2B
PALB2 PATZ1 PAX3 PAX7 PDGFB PDGFRA
PRKACA PRKD1 RANBP2 ROS1 SDHA SDHB
SDHC SDHD SMARCB1 SS18 SSX1 SSX2
SSX4 STAT6 SUZ12 TAF15 TCF12 TERT
TFE3 TFEB TFG TP53 TPM3 TPM4
TRAF7 TSPAN31 VGLL2 WT1 WWTR1 YAP1
YWHAE ZC3H7B        

The genes and biomarkers listed in this table are a subset of all genes included in the panel. To see the full gene list, view the product datasheet, available under Product Literature on the respective product pages.

  1. Includes key guideline biomarkers, emerging biomarkers, and pan-cancer biomarkers. Content analysis provided by Velsera based on software Knowledgebase v8.5 (February 2023).
  2. Genes with biomarkers of significance linked to current drug labels or guidelines.
  3. Genes with biomarkers of potential significance based on presence in clinical trials.
  4. CNS, central nervous system.

Product comparison

  TruSight Oncology 500 TruSight Oncology 500 High-Throughput TruSight Oncology 500 ctDNA v2 
Assay time 4–5 days from sample to results 4–5 days from sample to results 3-4 days from purified nucleic acid to variant report
Automation capability Liquid handling robot(s) Liquid handling robot(s) Liquid handling robot(s)
Automation details Explore available automation methods Explore available automation methods Explore available automation methods
Cancer type Pan-cancer, Solid tumor Pan-cancer, Solid tumor Pan-cancer, Solid tumor
Content specifications Targeted sequencing of DNA from 523 genes and RNA from 55 genes for a total of 1.94 Mb panel size. MSI and TMB measurement included. The optional TruSight Oncology 500 HRD kit (not available in Japan) content includes coverage of ~25K SNPs to assess homologous recombination deficiency through a comprehensive genomic instability score (LOH+TAI+LST) powered by Myriad Genetics. Targeted sequencing of DNA from 523 genes of interest and RNA from 55 genes, for a total of 1.94 Mb panel size. MSI and TMB measurement included. Targeted selection of 523 genes (full coding sequence) for a total of 1.94 Mb panel size.
  • Immuno-oncology biomarker coverage: TMB and MSI
  • Guideline coverage: Broad coverage of key guidelines for multiple solid tumor types
  • Clinical trial coverage: Over 600 clinical trials (based on Velsera Knowledgebase, as of February 2023).
Description Assay that enables comprehensive genomic profiling from FFPE tissue and runs on the NextSeq 550 System or NextSeq 550Dx Instrument (in Research Mode) and can batch up to eight samples at a time. A high-throughput comprehensive NGS assay to identify key biomarkers in guidelines and >1K clinical trials from a streamlined workflow using the NextSeq 1000, NextSeq 2000, NovaSeq 6000, NovaSeq 6000Dx (in research mode) or the NovaSeq X Series. Includes coverage of immuno-oncology biomarkers TMB and MSI. Provides a noninvasive research method for comprehensive genomic profiling of liquid biopsy samples (ctDNA from blood plasma). This liquid biopsy approach provides insights about intra- and inter-tumor heterogeneity using a minimally invasive sample collection approach to complement tissue-based CGP.
Hands-on time ~2.5 hr for automated workflow
~10.5 hr for manual workflow
~2.5 hr for automated workflow
~10.5 hr for manual workflow
~1.5 hr for automated workflow
~2.5 hr for manual workflow
Input quantity 40 ng DNA and/or 40 ng RNA 40 ng DNA and/or 40–80 ng RNA 20 ng cfDNA (4 ml of plasma)
Instruments NextSeq 550 System, NextSeq 550Dx in research mode NextSeq 2000 System, NextSeq 1000 System, NovaSeq X System, NovaSeq X Plus System, NovaSeq 6000Dx in research mode, NovaSeq 6000 System NovaSeq X SystemNovaSeq X Plus System, NovaSeq 6000 System, NovaSeq 6000Dx in research mode
Method Target enrichment, Targeted DNA sequencing, Targeted RNA sequencing Target enrichment, Targeted DNA sequencing, Targeted RNA sequencing Target enrichment, Targeted DNA sequencing
Multiplexing Up to 8-plex

NextSeq 1000 and 2000: P2 flow cell 8 samples, P3 flow cell 24 samples, P4 flow cell 36 samples.
NovaSeq 6000/Dx: SP flow cell 16 samples, S1 flow cell 32 samples, S2 flow cell 72 samples, S4 flow cell 192 samples.

NovaSeq X Series*: 1.5B cartridge 32 samples, 10B cartridge 192 samples, 25B 480 samples..

NovaSeq X Series: 4 samples on 1.5B flow cell, 24 samples on 10B flow cell NovaSeq 6000 System: 8 samples on S2 flow cell, 24 samples on S4 flow cell, 192 indexes maximum
Nucleic acid type RNA, DNA RNA, DNA DNA
Sample throughput 8 samples/run NextSeq 1000 and 2000: 8-36 samples/run, NovaSeq 6000/Dx: 16-192 samples/run, NovaSeq X: 32-480 samples/run, NovaSeq X Plus: 32-960 samples/run 4-48 samples/run
Specialized sample types FFPE Tissue FFPE Tissue Circulating tumor DNA, Blood
Species category Human Human Human
Technology Sequencing Sequencing Sequencing
Variant class Gene fusions, Transcript variants, Single nucleotide variants (SNVs), Insertions-deletions (indels), Copy number variants (CNVs), Loss of heterozygosity (LOH), Somatic variants, Novel transcripts, Single nucleotide polymorphisms (SNPs), Structural variants Gene fusions, Somatic variants, Novel transcripts, Structural variants, Transcript variants, Single nucleotide variants (SNVs), Insertions-deletions (indels), Copy number variants (CNVs) Single nucleotide variants (SNVs), Insertions-deletions (indels), Copy number variants (CNVs)

FAQ

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Resources

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TruSight Oncology 500 HRD at Oncopole Toulouse

Homologous recombination deficiency (HRD) is an important biomarker in ovarian cancer. Hear about TSO 500 HRD assay performance from Dr. Guillaume Bataillon at the Oncopole Toulouse laboratory in France.

Speak to a specialist

Contact an Illumina representative to learn more about TruSight Oncology 500 products and find the right assay for your needs.

*HRD is available through an accessory kit to assess the Genomic Instability Score (GIS). HRD is only available with the addition of the TruSight Oncology 500 HRD kit to TruSight Oncology 500. Not available in Japan. 
8 samples/run for TruSight Oncology 500 and 8–16 samples/run for TruSight Oncology 500 HRD; 16–192 samples/run for TruSight Oncology 500 High-Throughput.

 

References

  1. Content analysis provided by Pierian Knowledgebase v8.5, February 2023.
  2. O'Connor MJ. Targeting the DNA damage response in cancer. Mol Cell. 2015;60(4):547-560. doi:10.1016/j.molcel.2015.10.040 
  3. Yamamoto H, Hirasawa A. Homologous recombination deficiencies and hereditary tumors. Int J Mol Sci. 2021;23(1):348. doi:10.3390/ijms23010348