Genome Sequencing in Cancer Diagnosis
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".
Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 296
Special Issue Editor
2. Hopp Children’s Cancer Center (KiTZ), D-69120 Heidelberg, Germany
3. Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), D-69120 Heidelberg, Germany
Interests: next generation sequencing; cancer predisposition genes; personalized therapy; molecular medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Cancer occurs due to changes in DNA leading to mutations that affect the way the cells work and grow. Each person’s cancer is unique because the mutations between cancers differ in type and number in each person. Advancements in NGS technologies are bringing new possibilities to the future of cancer care. With the increased speed of molecular testing, oncologists could have better insights about cancer genomic drivers, enabling them to make the most appropriate first-line treatment decision. With access to timely and comprehensive cancer profiles for all patients, the promise of precision oncology will be fully realized. Identifying cancer-causing mutations can be essential to diagnosis, as genetic mutations can significantly alter the line of treatment, even if those treatments do not directly target the mutation. Certain mutations can also indicate that a cancer is more likely to become resistant to a treatment. So the possibility of treating cancer on the basis of an individual tumour’s genetic profile has led to a surge in cancer-genome profiling of patients. This Special Issue focuses on the identification of cancer causing mutations and novel variants using whole genome/exome sequencing and their effect on treatment outcome.
Dr. Obul Reddy Bandapalli
Guest Editor
Manuscript Submission Information
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Keywords
- Diagnostic markers
- Predisposition markers
- Familial cancers
- Functional genomics
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