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CDCap™ Comprehensive Cancer Panel Kit

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PNO001-1 24rxn
PNO001-2 96rxn
Overview

Product Description

The CDCap™ Comprehensive Cancer Panel is a hybridization capture-based targeted sequencing assay designed for comprehensive cancer genomic profiling. It detects 641 cancer-related genes, covering loci associated with targeted therapeutic mechanisms, chemotherapeutic agent toxicity/sensitivity, immune pathways, and hereditary cancer predisposition. This panel supports precision oncology research, combination therapeutic strategy investigation, and research cohort selection by integrating biomarkers such as TMB, MSI, MMR, alongside PD-1 pathway regulators and hyperprogression-associated genes for immunotherapy response mechanisms analysis.

Features

Key Features & Advantages

Comprehensive Guidance for Precision Therapy
· Evaluates genes linked to targeted/chemotherapy efficacy, immune pathways, and hereditary predisposition.
Multidimensional Prediction of PD-1 Inhibitor Response
· evaluates MSI, TMB, and MMR to comprehensively predict immunotherapy efficacy.
Optimized for Liquid Biopsy
· Streamlined panel design with UMI tagging enhances sensitivity and accuracy for low-input cfDNA detection.

Specifications

Product Specifications

Enrichment Method: Hybridization Capture
Species: Human
Variant Types: SNV、Indel、CNV、Fusion、MSI、TMB
Target Size: 2.1Mb
Cancer Type: Pan-Cancer
Number of Genes: 641
Sample Type: Tissue、FFPE、blood
Input DNA/RNA: cfDNA ≥20ng, gDNA ≥30ng
Method: NGS
Sequencing Platform: Illumina
Storage: Store at -20 °C.
Data

Data

1. Exceptional Correlation: WES and TMB Panel Results Align with High Precision(R² ≥ 0.9966)


2. High Sensitivity and Accuracy in Mutation Detection

Table 1. Mutation Detection Results for Positive Standards

Gene Variant Expected Allelic Frequency Reported allelic frequency - 50 ng Reported allelic frequency - 100 ng
---- ---- ---- ---- ----
EGFR L858R 1% 0.95% 1.50%
KRAS A146T 1% 1.02% 0.87%
NRAS Q61K 1% 0.84% 1.23%
EGFR T790M 2% 1.61% 2.11%
EGFR ΔE746_A750 1.58% 1.40% 1.36%
FLT3 ΔI836 2% 2.81% 1.94%
KIT D816V 2% 2.80% 2.07%
KRAS G12D 2% 1.32% 2.33%
EGFR V769_D770 insASV 3% 1.80% 1.02%
EGFR G719S 4% 3.46% 3.33%
KRAS G13D 4% 2.94% 4.87%
EML4-ALK Fusion V3 5% 3.50% 3.61%
CD74-ROS1 Fusion 6% 2.37% 1.61%
BRAF V600E 7% 5.02% 5.75%
PIK3CA H1047R 7% 7.28% 5.83%
ERBB2 Amplification 6 copies 6 copies 6 copies

Table 2. SNV Detection Results for 5% FFPE Standards
Gene Variant Expected Allelic Frequency Reported allelic frequency - 50 ng Reported allelic frequency - 100 ng Reported allelic frequency - 200 ng
---- ---- ---- ---- ---- ----
EGFR L858R 5% 2.48% 6.51% 4.29%
EGFR T790M 5% 2.64% 3.64% 4.30%
EGFR ΔE746_A750 5% 2.11% 3.17% 3.37%
KRAS A146T 5% 2.60% 3.78% 3.88%
KRAS G12D 5% 1.78% 3.19% 3.77%
KRAS G13D 5% 1.51% 5.57% 5.93%
NRAS Q61K 5% 3.36% 5.06% 5.11%
PIK3CA E545K 5% 1.39% 4.12% 5.73%

All mutations were successfully detected in tumor gDNA and FFPE standards, with reported allelic frequencies closely matching theoretical values.

3. UMI Tagging Enhances Mutation Detection Rate

Table 3. Mutation Detection Results for cfDNA Reference Standards
Gene Variant Expected Allelic Frequency Reported allelic frequency
---- ---- ---- ----
EGFR L858R 0.50% 0.19%
EGFR T790M 0.50% 0.35%
EGFR ΔE746_A750 0.50% 0.27%
KRAS A146T 0.50% 0.23%
KRAS G12D 0.50% 0.64%
KRAS G13D 0.50% 0.76%
NRAS Q61K 0.50% 0.44%
PIK3CA E545K 0.50% 0.44%

The use of UMI tagging in cfDNA liquid biopsy significantly reduces background noise, minimizes false-positive mutations, and improves detection accuracy. Libraries were prepared using 15 ng of Horizon 0.5% cfDNA reference standard (HD780) and enriched via liquid-phase hybrid capture with pan-cancer probes.

Gene List

Gene List

Table1: Gene List

ABCB1 ABCC3 ABL1 ABL2 ACVR1 ACVR1B AGO2 AKT1 AKT2 AKT3 ALK ALOX12B
AMER1 ANKRD11 APC APEX1 AR ARAF ARFRP1 ARID1A ARID1B ARID2 ARID5B ASNS
ASXL1 ASXL2 ATIC ATM ATR ATRX AURKA AURKB AXIN1 AXIN2 AXL B2M
BABAM1 BAP1 BARD1 BBC3 BCL10 BCL2 BCL2L1 BCL2L11 BCL2L2 BCL6 BCOR BCORL1
BCR BIRC3 BIRC7 BLM BMPR1A BRAF BRCA1 BRCA2 BRD4 BRIP1 BTG1 BTG2
BTK C11orf30 C8orf34 CALR CARD11 CARM1 CASP7 CASP8 CBFB CBL CBR3 CCND1
CCND2 CCND3 CCNE1 CD22 CD274 CD276 CD3EAP CD44 CD70 CD79A CD79B CDA
CDC42 CDC73 CDH1 CDK12 CDK4 CDK6 CDK8 CDKN1A CDKN1B CDKN2A CDKN2B CDKN2C
CEBPA CENPA CHD2 CHD4 CHEK1 CHEK2 CIC CREBBP CRKL CRLF2 CSDE1 CSF1R
CSF3R CTCF CTLA4 CTNNA1 CTNNB1 CTTN CUL3 CUL4A CXCR4 CYLD CYP17A1 CYP19A1
CYP1B1 CYP2C8 CYP2D6 CYP4B1 CYSLTR2 DAXX DCUN1D1 DDR1 DDR2 DDX43 DICER1 DIS3
DNAJB1 DNMT1 DNMT3A DNMT3B DOT1L DPYD DROSHA DUSP4 DYNC2H1 E2F3 EED EGFL7
EGFR EIF1AX EIF4A2 EIF4E ELF3 EP300 EPAS1 EPCAM EPHA2 EPHA3 EPHA5 EPHA7
EPHB1 EPHB4 ERBB2 ERBB3 ERBB4 ERCC1 ERCC2 ERCC3 ERCC4 ERCC5 ERF ERG
ERRFI1 ESR1 ESR2 ETV1 ETV6 EWSR1 EXT1 EZH1 EZH2 FADD FAM175A FAM46C
FAM58A FANCA FANCC FANCD2 FANCE FANCF FANCG FANCL FANCM FAS FAT1 FAT3
FBXW7 FCGR2A FCGR3A FGF10 FGF12 FGF14 FGF19 FGF23 FGF3 FGF4 FGF6 FGFR1
FGFR2 FGFR3 FGFR4 FH FLCN FLT1 FLT3 FLT4 FOXA1 FOXL2 FOXO1 FOXP1
FRS2 FSHR FUBP1 FYN GAB2 GABRA6 GALNT12 GATA1 GATA2 GATA3 GATA4 GATA6
GGH GID4 GLI1 GNA11 GNA13 GNAQ GNAS GPR124 GPS2 GREM1 GRIN2A GRM3
GSK3B GSTA1 GSTM1 GSTP1 H3F3A H3F3B H3F3C HAS3 HDAC1 HDAC6 HGF HIST1H1C
HIST1H2BD HIST1H3A HIST1H3B HIST1H3C HIST1H3D HIST1H3E HIST1H3F HIST1H3G HIST1H3H HIST1H3I HIST1H3J HIST2H3C
HIST2H3D HIST3H3 HLA - A HLA - B HMMR HNF1A HOXB13 HRAS HSD3B1 HSP90AA1 HSPB1 ICOSLG
ID3 IDH1 IDH2 IFNGR1 IGF1 IGF1R IGF2 IKBKE IKZF1 IL10 IL1A IL4
IL7R IL8 INHA INHBA INPP4A INPP4B INPPL1 INSR IRF2 IRF4 IRS1 IRS2
JAK1 JAK2 JAK3 JUN KAT6A KDM3B KDM5A KDM5C KDM6A KDR KEAP1 KEL
KIT KLF4 KLHL6 KMT2A KMT2B KMT2C KMT2D KNSTRN KRAS LATS1 LATS2 LIG4
LIMK1 LIN28B LMO1 LRP1B LTK LYN LZTR1 MAF MAGI2 MALT1 MAP2K1 MAP2K2
MAP2K4 MAP3K1 MAP3K13 MAP3K14 MAPK1 MAPK3 MAPKAP1 MAX MCL1 MDC1 MDM2 MDM4
MECOM MED12 MEF2B MEN1 MERTK MET MGA MGMT MITF MKNK1 MLH1 MLH3
MPL MRE11A MSH2 MSH3 MSH6 MSI1 MSI2 MST1 MST1R MTAP MTHFR MTOR
MTRR MUTYH MXI1 MYC MYCL MYCN MYD88 MYO3B MYOD1 NBN NCOA3 NCOR1
NDRG1 NEGR1 NEIL1 NF1 NF2 NFE2L2 NFKBIA NKX2 - 1 NKX3 - 1 NOS2 NOTCH1 NOTCH2
NOTCH3 NOTCH4 NPM1 NQO1 NQO2 NRAS NSD1 NT5C2 NTHL1 NTRK1 NTRK2 NTRK3
NUF2 NUP93 OPRM1 P2RY8 PAK1 PAK3 PAK7 PALB2 PARK2 PARP1 PARP2 PARP3
PAX5 PBRM1 PDCD1 PDCD1LG2 PDGFRA PDGFRB PDK1 PDPK1 PGR PHB PHOX2B PIK3C2B
PIK3C2G PIK3C3 PIK3CA PIK3CB PIK3CD PIK3CG PIK3R1 PIK3R2 PIK3R3 PIM1 PLAT PLCG2
PLK2 PMAIP1 PMS1 PMS2 PNRC1 POLDI POLE PON1 PPARG PPM1D PPP2R1A PPP2R2A
PPP4R2 PPP6C PRDM1 PRDM14 PREX2 PRKAA1 PRKAR1A PRKCI PRKD1 PRKDC PRSS8 PTCH1
PTEN PTP4A1 PTPN11 PTPRD PTPRO PTPRS PTPRT QKI RAB35 RAC1 RAC2 RAD21
RAD50 RAD51 RAD51B RAD51C RAD51D RAD52 RAD54L RAF1 RANBP2 RARA RASA1 RB1
RBM10 RECQL RECQL4 REL RET RFWD2 RHBDF2 RHEB RHOA RICTOR RIT1 RNF43
ROS1 RPS6KA4 RPS6KB2 RPTOR RRAGC RRAS RRAS2 RRM1 RSF1 RTEL1 RUNX1 RUNX1T1
RXRA RYBP SDHA SDHAF2 SDHB SDHC SDDH SEMA3C SENSN1 SENSN2 SESN3 SETD2
SETD8 SYF3B1 SGK1 SH2B3 SH2D1A SHOC2 SHQ1 SLCO1B1 SLCO1B3 SLIT1 SLIT2 SLX4
SMAD2 SMAD3 SMAD4 SMARCA4 SMARCB1 SMARCD1 SMO SMYD3 SNCAIP SOCS1 SOD2 SOS1
SOX10 SOX17 SOX2 SOX4 SOX9 SPEN SPOP SPRED1 SPTAl SRC SRSF2 STAG2
STAT3 STAT4 STAT5A STAT5B STK11 STK19 STK40 SUFU SUZ12 SYK TAF1 TAP1
TAP2 TBX3 TCEB1 TCF3 TCF7L2 TDG TEK TERC TERT TET1 TET2 TGFB1
TGFBR1 TGFBR2 TIPARP TLR2 TMEM127 TMPRSS2 TNF TNFAIP3 TNFRSF14 TNFSF11 TOP1 TOP2A
TP53 TP53BP1 TP63 TRAF2 TRAF7 TRRAP TSC1 TSC2 TSHR TSHZ2 TSHZ3 TTF1
TXN TXNRD2 TYMS TYRO3 U2AF1 UGT1A1 UGT1A4 UMPS UPF1 VEGFA VHL VTCN1
WHSC1 WHSC1L1 WISP3 WT1 WWTR1 XIAP XPC XPO1 XRCC1 XRCC2 XRCC3 YAP1
YES1 ZBTB2 ZFHX3 ZNF217 ZNF703

Table2:Fusion Gene List
NOTCH2 NTRK1 ALK MSH2 RAF1 ETV5 FGFR3 SLC34A2 PDGFRA KIT CD74 ROS1
MYB EZR EGFR BRAF FGFR1 MYC NTRK2 RET FGFR2 KMT2A ETV6 BRCA2
NUTM1 RARA BRCA1 ETV4 SDC4 TMPRSS2 BCR EWSR1 BCL2 RSPO2 MET ETV1
PPARγ TERT

* For research purposes only, not intended for clinical diagnosis, treatment, or individual health assessments.
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