Morphology : IHC

DIAGNOSTIC SERVICES

Molecular- Solid Tumor

The Solid Tumor NGS test at Cairo diagnostics analyzes over 1,000 biomarkers across 52 genes. It detects relevant hotspots, SNVs, indels, CNVs, and gene fusions using a single workflow for DNA and RNA. It enables detection of NTRK1, NTRK2, and NTRK3 gene fusion. Includes solid tumor genes for 23 different types of cancer targeted by on-market oncology drugs and published evidence. It contains 7 genes on 43 labels, 15 genes in 19 guidelines and 43 genes in >900 global clinical trials.

Consultative-services

Solid Tumor Gene Panel

Our Oncomine Focus Assay (OFA) is a targeted next-generation sequencing (NGS) panel designed to detect the most clinically relevant genomic alterations across a wide range of solid tumors. This assay consolidates multiple testing methods into a single, streamlined workflow, providing fast and comprehensive insights to support precision oncology.
The OFA interrogates 52 key cancer driver genes, covering the most common classes of alterations, including hotspot mutations, copy number variations (CNVs), and gene fusions . This broad profiling allows simultaneous detection of actionable biomarkers with high sensitivity using limited FFPE tissue samples.

Oncomine Focus Gene Panel

Hotspot Genes (35 Genes)
AKT1 IDH2
ALK JAKI
AR JAK1
BRAF JAK2
CDK4 JAK3
CTNNB1 KIT
DDR2 KRAS
EGFR MAP2K1
ERBB2 MAP2K2
ERBB3 MET
ERBB4 MTOR
ESR1 NRAS
FGFR2 PDGFRA
FGFR3 PIK3CA
GNA11 RAF1
GIVAQ RET
HRAS ROS1
IDH1 SMO

 

Copy Number Genes (19 Genes)
AKT1 FGFR2
ALK FGFR3
AR FGFR4
BRAF KIT
CCNDI KRAS
CDK4 MET
CDK6 MYC
EGFR MYCN
ERBB2 PDGFRA
FGFR1 PIK3CA

 

Gene Fusions (23 Genes)
ABL1 FGFR2
AKT3 FGFR3
ALK MET
AXL NTRK1
BRAF NTRK2
EGER NTRK3
ERBB2 PDGFRA
ERG PPARG
ETV1 RAF1
ETV4 RET
ETV5 ROS1
FGFR1

 

Tumor Specific Panels

Colorectal Panel (16 Genes)
BRAF KRAS NRAS PIK3CA EGFR ERBB2
FGFR2 FGFR3 MET NTRK1 NTRK2 NTRK3
ALK RET ROS1 RAF1
Gynecologic Panel (20 Genes)
PIK3CA AKT1 BRAF KRAS NRAS ERBB2
ERBB3 ERBB4 ESR1 FGFR2 FGFR3 AR
CTNNB1 IDH1 MET NTRK1 NTRK2 NTRK3
RET ROS1
Melanoma Panel (19 Genes)
BRAF NRAS KIT GNA11 GNAQ MAP2K1
CTNNB1 CDK4 CCND1 PIK3CA AKT1 ERBB4
IDH1 HRAS KRAS NTRK1 NTRK2 NTRK3
RAF1
Lung Panel (19 Genes)
EGFR ALK BRAF KRAS MET ERBB2
ROS1 RET NTRK1 NTRK2 NTRK3 FGFR1
FGFR2 FGFR3 DDR2 PIK3CA MAP2K1 NRAS
RAF1
Urologic Panel (24 Genes)
AR ERG ETV1 ETV4 ETV5 FGFR1
FGFR2 FGFR3 ERBB2 PIK3CA HRAS KRAS
BRAF MET MYC CCND1 CDK4 CDK6
AKT1 NTRK1 NTRK2 NTRK3 RET ROS1

Microsatellite Instability (MSI) Testing
Our OncoMate™ MSI Analysis is a qualitative multiplex PCR assay designed to detect microsatellite instability (MSI) in five mononucleotide loci (BAT-25, BAT-26, NR-21, NR-24, MONO-27) using DNA extracted from formalin-fixed, paraffin-embedded (FFPE) tissue. Microsatellites are short DNA repeat regions that are highly prone to replication errors. Normally, these errors are corrected by the DNA mismatch repair (MMR) system; however, in MMR-deficient tumors, MSI occurs, leading to abnormal allele lengths.

By targeting carefully selected mononucleotide-repeat markers, the assay provides high sensitivity and specificity in detecting MSI status. This enables accurate identification of MMR deficiency, supporting both diagnostic and therapeutic decision-making in patients with colorectal and other cancers.

Tumor Mutational Burden (TMB) Testing
Our TMB assay is a targeted next-generation sequencing (NGS) test that provides a robust and accurate assessment of tumor mutational burden (mutations per megabase) across the exonic regions of 409 cancer-associated genes (~1.7 Mb total, including ~1.2 Mb of exonic sequence). By detecting and annotating single nucleotide variants (SNVs) and insertion/deletion variants (INDELs), the assay measures the total mutation load, enabling stratification of tumors as TMB-High (≥10 mut/Mb) or TMB-Low (<10 mut/Mb).

High TMB tumors are more likely to generate neoantigens that elicit an immune response, making TMB a predictive biomarker for response to immune checkpoint inhibitors (ICIs). This assay therefore serves as a critical tool in identifying patients most likely to benefit from immunotherapy and other targeted treatment approaches.