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Measures

Number of red blood cells in the blood

Identifies

Red blood cell disorders

Measures: Number of red blood cells in the blood

Identifies: Red blood cell disorders

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What is the maximum days the report can be obtained for the test

The maximum days for obtaining the report for the PDGFRA Gene Analysis Test by NGS (Hotspot Regions) is 14 days.

What are the prerequisites for the test PDGFRA Gene Analysis Test by NGS (Hotspot Regions)

  • Specimen Type: Formalin-fixed, paraffin-embedded (FFPE) tissue block or slides
  • Specimen Requirements: Minimum of 10% tumor content
  • Turnaround Time: 7-10 days
  • Methodology: Next Generation Sequencing (NGS)
  • Hotspot regions covered: Exon 18 (D842V), Exon 12 (L861Q), Exon 14 (V561D)

What are the measure values for the test PDGFRA Gene Analysis Test by NGS (Hotspot Regions)

Gene Exons Hotspot Regions Method Detected Variation Types Reference Range
PDGFRA Exons 12, 14, 18 c.1624_1626del (p.V545del), c.1630_1632ins (p.D842_I843insI), c.2522_2524A>T (p.D842V) NGS Deletion, insertion, substitution Reported as Detected or Not Detected

What does this test PDGFRA Gene Analysis Test by NGS (Hotspot Regions) identify?

This test identifies mutations in the PDGFRA gene through Next Generation Sequencing (NGS) technology. Specifically, it focuses on the hotspot regions of the gene where mutations are most commonly found. Mutations in the PDGFRA gene have been associated with various types of cancers, including gastrointestinal stromal tumors (GIST), leukemia, and other solid tumors. By analyzing the hotspot regions of the PDGFRA gene, this test can help in the diagnosis and management of patients with these types of cancers.

Why is this test PDGFRA Gene Analysis Test by NGS (Hotspot Regions) taken?

PDGFRA Gene Analysis Test by NGS (Hotspot Regions)

The PDGFRA gene analysis test by Next Generation Sequencing (NGS) is taken to identify mutations in the PDGFRA gene that may be associated with certain cancers, particularly gastrointestinal stromal tumors (GISTs). The PDGFRA gene encodes a receptor tyrosine kinase that plays a role in cell growth and division. Mutations in this gene can lead to uncontrolled cell growth and the development of cancer.

By analyzing specific hotspot regions in the PDGFRA gene using NGS technology, healthcare providers can determine if a patient has a mutation that may be driving the growth of cancer cells. This information can help guide treatment decisions and tailor therapy to target the specific genetic alterations present in the tumor.

Popular FAQs on Test

The PDGFRA Gene Analysis Test by NGS (Hotspot Regions) is a genetic test that uses Next Generation Sequencing (NGS) technology to analyze specific regions of the PDGFRA gene known to be associated with mutations. This test helps identify mutations in the PDGFRA gene that may be linked to certain types of cancer or other genetic disorders.
The PDGFRA gene plays a crucial role in cell growth and division, and mutations in this gene can lead to the development of certain cancers or other genetic conditions. By analyzing the hotspot regions of the PDGFRA gene, this test can help identify specific mutations that may be targeted for personalized treatment or monitoring of the disease.
The PDGFRA Gene Analysis Test is performed using Next Generation Sequencing (NGS) technology, which allows for the simultaneous analysis of multiple regions of the gene. A sample of DNA is collected from the patient, and specific regions of the PDGFRA gene are amplified and sequenced to detect any mutations or abnormalities.
Individuals with a family history of certain cancers or genetic disorders, or those who have been diagnosed with specific types of cancer that are known to be associated with PDGFRA mutations, may benefit from taking the PDGFRA Gene Analysis Test. It is recommended to consult with a healthcare provider or genetic counselor to determine if this test is appropriate.
While the PDGFRA Gene Analysis Test can provide valuable information about mutations in the PDGFRA gene, it is important to note that not all mutations may be detected by this test. Additionally, the test results should be interpreted in conjunction with other clinical and genetic information to fully understand their implications.

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