• Just like a chameleon utilizing its
    colored pigments and crystals to
    adapt to its surroundings,
    we proactively pioneer and adapt to
    the everchanging NGS markets with
    our cutting-edge technology to
    support our customer’s needs.

CancerScreen Sequencing Service

Optimized Choice for Somatic Cancer

Overview

Celemics’ CancerScreen Service is designed to detect all types
of variants including gene rearrangement in various somatic
cancer-related genes.

Celemics provides 4 different panels according to the number of containing
genes (Core, 50, 100, and 400). Customers can choose a target enrichment
panel which suits their purpose.
Also, if the gene of interest does not exist in the panel, it can be added
separately through our gene add-on service.
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Features &
Benefits

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    Optimized panel for solid cancer
    Assess DNA, RNA, and the whole CDS regions (RefSeq) of up to 407 genes
    and rearrangement regions associated with solid cancer
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    High sensitivity and specificity
    Detect low-frequency and rare variants with high sequencing depths
    Capture the GC rich and homologous regions with Celemics
    Proprietary probe design technology
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    Cost-effective sequencing
    Lower sequencing costs compared to competitor product due to
    Celemics’ superior uniformity of coverage
    Provide flexible panels with a gene add-on service
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    Assess all variant types
    Detect all mutation types including SNV, Indel, Large Indel, CNV,
    Rearrangement, MSI, and TMB in a single assay

Performance

Performance Comparison with Competitor Product Comparison data with competitors' products

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Higher on-target ratio, uniformity, coverage at 100X compared to competitor product over the target regions including exons and introns

  • Performance Comparison over GC-rich Regions

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Higher uniform read depths over GC-rich regions compared to competitor product

Flexible
panel options

CancerScreen Panel - Core

ALK APC BRAF EGFR ERBB2 KRAS MET NRAS PIK3CA RET ROS1 SMAD4 TP53

Genes in bold indicate fusion analysis

CancerScreen Panel - 50

ABL1  AKT1  ALK  APC ATM  BRAF  BRCA1 BRCA2 CDH1 CDK4 CDK6 CDKN2A 
CSF1R  CTNNB1  DDR2 EGFR  ERBB2  ERBB4 ESR1 FGFR1 FGFR2  FGFR3 GNA11  GNAQ 
GNAS HRAS  IDH1 IDH2  JAK2 KDR  KIT KRAS MAP2K1 MET MLH1 MTOR 
MYC  MYCN NOTCH1  NRAS  NTRK1  PDGFRA  PIK3CA PTCH1  PTEN  PTPN11  RB1 RET 
ROS1 SMAD4  SMO SRC STK11  TP53

Genes in bold indicate fusion analysis

CancerScreen Panel - 100

ABL1 AKT1 AKT2 AKT3 ALK APC ARID1A ARID1B ARID2 ATM ATRX AURKA
AURKB BARD1 BCL2 BLM BMPR1A BRAF BRCA1 BRCA2 BRIP1 CDH1 CDK4 CDK6
CDKN2A CHEK2 CSF1R CTNNB1 DDR2 EGFR EPCAM EPHB4 ERBB2 ERBB3 ERBB4 EZH2
FBXW7 FGFR1 FGFR2 FGFR3 FLT3 GNA11 GNAQ GNAS HNF1A HRAS IDH1 IDH2
IGF1R ITK JAK1 JAK2 JAK3 KDR KIT KRAS MDM2 MET MLH1 MPL
MRE11 MSH2 MSH6 MTOR MUTYH NBN NF1 NOTCH1 NPM1 NRAS NTRK1 PALB2
PDGFRA PDGFRB PIK3CA PIK3R1 PMS2 PRSS1 PTCH1 PTCH2 PTEN PTPN11 RAD50 RAD51C
RAD51D RB1 RET ROS1 SLX4 SMAD4 SMARCB1 SMO SRC STK11 SYK TERT
TOP1 TP53 VHL

CancerScreen Panel - 400

ABL1 ABL2 ADGRA2 AKT1 AKT2 AKT3 ALK AMER1 APC APCDD1 APEX1 APOB
APOBEC1 AR ARAF ARFRP1 ARID1A ARID1B ARID2 ASXL1 ATM ATP11B ATR ATRX
AURKA AURKB AXIN1 AXL B2M B3GAT1 BACH1 BAP1 BARD1 BCL2 BCL6 BCL9
BCOR BCR BIRC2 BIRC3 BLM BRAF BRCA1 BRCA2 BRD2 BRD3 BRD4 BRIP1
BTG1 BTK BTLA CARD11 CASP5 CASP8 CBFB CBL CDK12 CDK4 CDK6 CDK8
CDKN1A CDKN1B CDKN2A CDKN2B CDKN2C CDX2 CEBPA CHD1 CHD2 CHD4 CHEK1 CHEK2
CHUK CIC CRBN CREBBP CRKL CRLF2 CSF1R CSF2 CSF2RA CSF2RB CSNK2A1 CTCF
CTLA4 CTNNA1 CTNNB1 CUL3 CUL4A CUL4B CXCL10 CXCL11 CXCL9 CXCR3 CYLD CYP17A1
DAXX DCUN1D1 DDR2 DICER1 DIS3 DNMT1 DNMT3A DOCK2 DOT1L EGFR ELMO1 EML4
EMSY EP300 EPHA3 EPHA5 EPHA6 EPHA7 EPHB1 EPHB4 EPHB6 ERBB2 ERBB3 ERBB4
ERCC1 ERCC2 ERG ERRFI1 ESR1 ETV1 ETV4 ETV5 ETV6 EWSR1 EYA2 EZH2
FANCA FANCC FANCD2 FANCE FANCF FANCG FANCI FANCL FANCM FAS FAT1 FAT3
FBXW7 FGF1 FGF10 FGF12 FGF14 FGF19 FGF2 FGF23 FGF3 FGF4 FGF6 FGF7
FGFR1 FGFR2 FGFR3 FGFR4 FH FLCN FLT1 FLT3 FLT4 FOXA1 FOXL2 FOXO3
FOXP3 FRS2 FUBP1 GABRA6 GAS6 GATA1 GATA2 GATA3 GATA4 GATA6 GID4 GLI1
GNA11 GNA13 GNAQ GNAS GRIN2A GRM3 GSK3B GUCY1A2 GZMA GZMB GZMH H3F3A
HGF HIST1H3B HNF1A HOXA3 HRAS HSD3B1 HSP90AA1 IDH1 IDH2 IDO1 IDO2 IFITM1
IFITM3 IFNA1 IFNB1 IFNG IGF1 IGF1R IGF2 IGF2R IKBKE IKZF1 IL12A IL12B
IL2 IL23A IL6 IL7R INHBA INPP4B INSR IRF2 IRF4 IRS2 ITGAE ITK
JAK1 JAK2 JAK3 JUN KAT6A KDM5A KDM5C KDM6A KDR KEAP1 KEL KIT
KLF4 KLHL6 KMT2A KMT2B KMT2C KNSTRN KRAS LAG3 LMO1 LRP1B LRP6 LTK
LYN LZTR1 MAGI2 MAGOH MAML1 MAP2K1 MAP2K2 MAP2K4 MAP3K1 MAP3K13 MAPK1 MAX
MCL1 MDM2 MDM4 MED12 MEF2B MEN1 MET MITF MLH1 MPL MRE11 MSH2
MSH6 MTOR MUTYH MYB MYC MYCL MYCN MYD88 MYO18A NCOA3 NCOR1 NF1
NF2 NFE2L2 NFKBIA NOTCH1 NOTCH2 NOTCH3 NOTCH4 NPM1 NRAS NSD1 NSD3 NTRK1
NTRK2 NTRK3 NUP93 NUTM1 PAK3 PAK5 PALB2 PARP1 PARP2 PARP3 PARP4 PAX5
PBRM1 PDCD1 PDCD1LG2 PDGFRA PDGFRB PDK1 PGR PHF6 PHLPP2 PIK3C2B PIK3C3 PIK3CA
PIK3CB PIK3CG PIK3R2 PKHD1 PLCG1 PLCG2 PMS2 PNP PNRC1 POLD1 POLE PPARG
PPP2R1A PRDM1 PREX2 PRF1 PRKAR1A PRKCI PRKDC PRPF40B PRSS8 PTCH1 PTCH2 PTEN
PTK2 PTPN11 PTPRC PTPRD QKI RAB35 RAC1 RAC2 RAD17 RAD50 RAD51 RAD52
RAD54L RAF1 RANBP2 RARA RB1 RBM10 REL RET RHEB RHOA RHOB RICTOR
ROBO1 ROBO2 ROS1 RPA1 RPS6KB1 RPTOR RUNX1 RUNX1T1 RUNX3 SDHA SDHB SDHC
SDHD SEMA3A SEMA3E SET SETBP1 SETD2 SF3A1 SF3B1 SH2B3 SKP2 SLIT2 SMAD2
SMAD3 SMAD4 SRSF2 SRSF7 STAG2 STAT3 STAT4 TERT TET2

Applications

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    Somatic cancer related fields